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Author SHA1 Message Date
gnanam1990
bd73bcc9d7 fix(mcp): disable MCP_SKILLS feature flag — source not mirrored
Closes #856.

MCP servers that expose resources (e.g. RepoPrompt) failed to load
their tools in the open build with:

    Error fetching tools/commands/resources:
    fetchMcpSkillsForClient is not a function

Root cause: scripts/build.ts set MCP_SKILLS: true, which made
feature('MCP_SKILLS') evaluate to true at build time. The guards
around the dynamic skill discovery path therefore stayed live. The
underlying source file src/skills/mcpSkills.ts is not mirrored into
the open tree, so the bundler fell back to its generic missing-module
stub — which only exports `default` for require()-style imports, not
the named `fetchMcpSkillsForClient` binding. At runtime the require
returned an object without that property, and calling it threw.

`openclaude mcp doctor` reported RepoPrompt as healthy because doctor
does not exercise the skills-fetch path.

Fix: flip MCP_SKILLS to false and move it into the "Disabled: missing
source" group. With the flag off, every `if (feature('MCP_SKILLS'))`
guard becomes a no-op at build time, the require() branch is dead
code, and MCP servers with resources load normally via the existing
`Promise.resolve([])` fallbacks already present at each call site.

Also adds scripts/feature-flags-source-guard.test.ts to fail fast if
MCP_SKILLS (or any future flag in the same category) is re-enabled
without the corresponding source file being mirrored first.

Verification:
  - Test fails on main, passes with this fix
  - `bun run build` produces a bundle with no
    `missing-module-stub:../../skills/mcpSkills.js` reference
  - Full `bun test` — 1222 pass / 12 fail (same pre-existing 12 as
    main; new test adds the +1 pass)
2026-04-24 07:54:11 +05:30
0xfandom
e346b8d5ec fix(startup): url authoritative over model name in banner provider detect (#864)
The banner provider branch tested model-name substrings (`/deepseek/`, `/kimi/`,
`/mistral/`, `/llama/`) before aggregator base-URL substrings (`/openrouter/`,
`/together/`, `/groq/`, `/azure/`). When running OpenRouter/Together/Groq with
vendor-prefixed model IDs (e.g. `deepseek/deepseek-chat`, `moonshotai/kimi-k2`,
`deepseek-r1-distill-llama-70b`), the banner mislabelled the provider.

Reorder: explicit env flags (NVIDIA_NIM, MINIMAX_API_KEY) and codex transport
win first; base-URL host checks run before rawModel fallback; rawModel only
fires when the base URL is generic/custom. Add unit tests covering the
aggregator × vendor-prefixed-model matrix plus direct-vendor regressions.

Closes #855
2026-04-24 01:52:27 +08:00
hika, maeng
b750e9e97d fix: make OpenAI fallback context window configurable + support external model lookup (#861)
* fix: make OpenAI fallback context window configurable and support external lookup table

Unknown OpenAI-compatible models fell back to a hardcoded 128k constant,
causing auto-compact to fire prematurely on models with larger windows
(issue #635 follow-up). Two escape hatches are added without touching the
built-in table:

- CLAUDE_CODE_OPENAI_FALLBACK_CONTEXT_WINDOW (number): overrides the 128k
  default for all unknown models.
- CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS (JSON object): per-model overrides that
  take precedence over the built-in OPENAI_CONTEXT_WINDOWS table; supports
  the same provider-qualified and prefix-matching lookup as the built-in path.
- CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS (JSON object): same pattern for output
  token limits.

This lets operators deploy new or private models without patching
openaiContextWindows.ts on every model release.

* docs: add new OpenAI context window env vars to .env.example

Document CLAUDE_CODE_OPENAI_FALLBACK_CONTEXT_WINDOW,
CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS, and
CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS with usage examples.

Addresses reviewer feedback on PR #861.

---------

Co-authored-by: opencode <dev@example.com>
2026-04-24 00:34:08 +08:00
0xfandom
28de94df5d feat: add OPENCLAUDE_DISABLE_TOOL_REMINDERS env var to suppress hidden tool-output reminders (#837)
Gates three injection sites behind OPENCLAUDE_DISABLE_TOOL_REMINDERS:
- FileReadTool cyber-risk mitigation reminder (appended to every Read
  result when the model is not in MITIGATION_EXEMPT_MODELS)
- todo_reminder attachment for TodoWrite usage
- task_reminder attachment for TaskCreate/TaskUpdate usage

All three reminders are model-only side-channel instructions the user
cannot see today. Users who want full transparency over what the model
receives can now opt out without patching dist/cli.mjs on every upgrade.

Default behavior is unchanged when the flag is unset.

Closes #809
2026-04-23 01:37:02 +08:00
0xfandom
23e8cfbd5b fix(test): add missing teammate exports to hookChains integration mock (#840)
mock.module('./teammate.js', ...) only declared getAgentName/getTeamName/
getTeammateColor. Bun applies module mocks process-globally and
mock.restore() does not undo them, so whenever another test file ran
after hookChains.integration.test.ts and reached the real teammate
module it received undefined for isTeammate/isPlanModeRequired/
getAgentId/getParentSessionId.

This surfaced in CI as intermittent failures in
src/commands/provider/provider.test.tsx (TextEntryDialog / wizard
remount / ProviderWizard hides Codex OAuth), because getDefaultAppState
in AppStateStore.ts calls teammateUtils.isTeammate().

Match the mock surface to the real teammate.ts exports so downstream
consumers keep working even after the integration test pollutes the
module cache. Keeps the same behavioral overrides this test needed.

Closes #839
2026-04-23 01:36:42 +08:00
Kevin Codex
531e3f1059 feat(tools): resilient web search and fetch across all providers (#836)
- Add exponential backoff retry to DuckDuckGo adapter (3 attempts with
  jitter) to handle transient rate-limiting and connection errors.
- Add native fetch() fallback in WebFetch when axios hangs with custom
  DNS lookup in bundled contexts.
- Prevent broken native-path fallback for web search on OpenAI shim
  providers (minimax, moonshot, nvidia-nim, etc.) that do not support
  Anthropic's web_search_20250305 tool.
- Cherry-pick existing fixes:
  - a48bd56: cover codex/minimax/nvidia-nim in getSmallFastModel()
  - 31f0b68: 45s budget + raw-markdown fallback for secondary model
  - 446c1e8: sparse Codex /responses payload parsing
  - ae3f0b2: echo reasoning_content on assistant tool-call messages
- Fix domainCheck.test.ts mock modules to include isFirstPartyAnthropicBaseUrl
  and isGithubNativeAnthropicMode exports.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-23 01:14:00 +08:00
KRATOS
3c4d8435c4 fix: surface actionable error when DuckDuckGo web search is rate-limited (#834)
Non-Anthropic / non-codex providers (minimax, kimi, generic OpenAI-compatible)
fell through to the DDG adapter when no paid search key was configured. DDG's
scraper is blocked on most IPs, so web_search surfaced an opaque "anomaly in
the request" error. Catch that response in the DDG provider and rethrow with
the exact env vars that would unblock the tool, or the option to switch to a
native-search provider.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-23 00:58:20 +08:00
Kevin Codex
67de6bd2cf fix(openai-shim): echo reasoning_content on assistant tool-call messages for Moonshot (#828)
Kimi / Moonshot's chat completions endpoint requires that every assistant
message carrying tool_calls also carry reasoning_content when the
"thinking" feature is active. When an agent sends prior-turn assistant
history back (standard multi-turn / subagent / Explore patterns), the
shim previously stripped the thinking block:

  case 'thinking':
  case 'redacted_thinking':
    // Strip thinking blocks for OpenAI-compatible providers.
    break

That's correct for providers that would mis-interpret serialized
<thinking> tags, but Moonshot validates the schema strictly and rejects
with:

  API Error: 400 {"error":{"message":"thinking is enabled but
  reasoning_content is missing in assistant tool call message at
  index N","type":"invalid_request_error"}}

Reproducer: launch with Kimi profile, run any tool-using command
(Explore, Bash, etc.) — every request after the first 400s.

Fix: in convertMessages(), when the per-request flag
preserveReasoningContent is set (only for Moonshot baseUrls today),
attach the original thinking block's text as reasoning_content on the
outgoing OpenAI-shaped assistant message. Other providers continue to
strip (unknown-field rejection risk).

OpenAIMessage type grows a reasoning_content?: string field.
convertMessages() accepts an options object and threads the flag
through; the only call site (_doOpenAIRequest) gates via
isMoonshotBaseUrl(request.baseUrl).

Tests (openaiShim.test.ts):
  - Moonshot: echoes reasoning_content on assistant tool-call messages
    (regression for the reported 400)
  - non-Moonshot providers do NOT receive reasoning_content (guards
    against leaking the field to strict-parse endpoints)

Full suite: 1195/1195 pass under --max-concurrency=1. PR scan clean.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-22 22:47:57 +08:00
0xfandom
4d559c9135 docs(env): document OPENCLAUDE_DISABLE_STRICT_TOOLS in .env.example (#826)
Code support was merged in #770 but the .env.example entry was
missed, leaving users without a discoverable way to find the flag.

Closes #737
2026-04-22 22:16:47 +08:00
JATMN
b7b83eff13 Fix bracketed paste blocking provider form submit (#818) 2026-04-22 19:48:33 +08:00
Urvish L.
44a2c30d5f feat: implement Hook Chains runtime integration for self-healing agent mesh MVP (#711)
* feat: implement Hook Chains runtime integration for self-healing agent mesh MVP

- Add Hook Chains config loader, evaluator, and dispatcher in src/utils/hookChains.ts
- Wire PostToolUseFailure hook dispatch in executePostToolUseFailureHooks()
- Wire TaskCompleted hook dispatch in executeTaskCompletedHooks()
- Integrate fallback-agent launcher with permission preservation (canUseTool threading)
- Add safety hardening for config-read errors (try-catch protection)
- Update docs with MVP runtime trigger explanation
- Add 10 unit tests and 4 integration tests covering config, rules, guards, and actions

This completes the self-healing agent mesh MVP by enabling declarative rule-based
responses to tool failures and task completions, with fallback agent spawning,
team notification, and capacity warming actions.

* Update docs/hook-chains.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/utils/hookChains.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix: address PR #711 review blockers for Hook Chains

- Gate hook-chain dispatch behind feature('HOOK_CHAINS') and default env gate to off
- Remove committed local artifact (agent.log) and ignore it in .gitignore
- Revert hook dispatcher signature threading changes for canUseTool
- Use ToolUseContext metadata hookChainsCanUseTool for fallback launch permissions
- Make spawn_fallback_agent fail explicitly when launcher context is unavailable
- Add config cache max age and guard map size limits to bound runtime memory
- Update docs and tests for default-off gating and explicit fallback failure

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-22 19:40:23 +08:00
ArkhAngelLifeJiggy
5b9cd21e37 feat: add streaming optimizer and structured request logging (#703)
* Integrate request logging and streaming optimizer

- Add logApiCallStart/End for API request tracking with correlation IDs
- Add streaming state tracking with processStreamChunk
- Flush buffer and log stream stats at stream end
- Resolve merge conflict with main branch

* feat: add streaming optimizer and structured request logging

* fix: address PR review feedback

- Remove buffering from streamingOptimizer - now purely observational
- Use logForDebugging instead of console.log for structured logging
- Remove dead code (streamResponse, bufferedStreamResponse, etc.)
- Use existing logging infrastructure instead of raw console.log
- Keep only used functions: createStreamState, processStreamChunk, getStreamStats

* test: add unit tests for requestLogging and streamingOptimizer

- streamingOptimizer.test.ts: 6 tests for createStreamState, processStreamChunk, getStreamStats
- requestLogging.test.ts: 6 tests for createCorrelationId, logApiCallStart, logApiCallEnd

* fix: correct durationMs test to be >= 0 instead of exactly 0

* fix: address PR #703 blockers and non-blockers

1. BLOCKER FIX: Skip clone() for streaming responses
   - Only call response.clone() + .json() for non-streaming requests
   - For streaming, usage comes via stream chunks anyway

2. NON-BLOCKER: Document dead code in flushStreamBuffer
   - Added comment explaining it's a no-op kept for API compat

3. NON-BLOCKER: vi.mock in tests - left as-is (test framework issue)

* fix: address all remaining non-blockers for PR #703

1. Remove dead code: flushStreamBuffer call and unused import
2. Fix test for Bun: remove vi.mock, use simple no-throw tests
2026-04-22 15:36:07 +08:00
ArkhAngelLifeJiggy
e92e5274b2 feat: add model-specific tokenizers and compression ratio detection (#799)
- ModelTokenizerConfig for different model families
- getTokenizerConfig() / getBytesPerTokenForModel()
- Content type detection (json, code, prose, list, technical)
- COMPRESSION_RATIOS - empirical ratios per content type
- estimateWithBounds() - confidence intervals

Features: 1.1, 1.14, 1.15
Tests: 13 passing
2026-04-22 13:24:12 +08:00
github-actions[bot]
86bce4ae74 chore(main): release 0.6.0 (#786)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-22 09:41:30 +08:00
Kevin Codex
c13842e91c fix(test): autoCompact floor assertion is flag-sensitive (#816)
The test "never returns negative even for unknown 3P models (issue #635)"
asserted that getEffectiveContextWindowSize() returns >= 33_000 for an
unknown 3P model under the OpenAI shim. That specific number assumes
reservedTokensForSummary = 20_000 (MAX_OUTPUT_TOKENS_FOR_SUMMARY), which
holds only when the tengu_otk_slot_v1 GrowthBook flag is disabled.

When the flag is ON — which is the case in CI but not always locally —
getMaxOutputTokensForModel() caps the model's default output at
CAPPED_DEFAULT_MAX_TOKENS (8_000). Then reservedTokensForSummary = 8_000,
floor = 8_000 + 13_000 = 21_000, and the test fails with 21_000 < 33_000.

The test reliably passes locally and reliably fails in CI, manifesting as
the intermittent PR-check failure.

Fix: relax the lower bound to 21_000 (cap-enabled worst case), which is
still well above zero — preserving the anti-regression intent of
issue #635 (no infinite auto-compact from a negative effective window)
without binding the test to GrowthBook flag state.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-22 09:37:57 +08:00
Kevin Codex
458120889f fix(model): codex/nvidia-nim/minimax now read OPENAI_MODEL env (#815)
getUserSpecifiedModelSetting() decides which env var to consult based on
the active provider. The check included openai and github but omitted
codex, nvidia-nim, and minimax — even though all three use the OpenAI
shim transport and get their model routing via CLAUDE_CODE_USE_OPENAI=1
+ OPENAI_MODEL (set by applyProviderProfileToProcessEnv).

Concrete failure: user switches from Moonshot profile (which persisted
settings.model='kimi-k2.6') to the Codex profile. The new profile
correctly writes OPENAI_MODEL=codexplan + base URL to
chatgpt.com/backend-api/codex. Startup banner reflects Codex / gpt-5.4
correctly. But at request time getUserSpecifiedModelSetting() returns
early for provider='codex' (not in the env-consult list), falls through
to the stale settings.model='kimi-k2.6', and the Codex API rejects:

  API Error 400: "The 'kimi-k2.6' model is not supported when using
  Codex with a ChatGPT account."

Fix: extract an isOpenAIShimProvider flag covering openai|codex|github|
nvidia-nim|minimax — all providers that set OPENAI_MODEL as their model
env var. The Gemini and Mistral branches stay as-is (they use
GEMINI_MODEL / MISTRAL_MODEL).

Five regression tests pin the fix for each OpenAI-shim provider plus
guard tests for openai and github that already worked.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-22 09:01:44 +08:00
Mike
ee19159c17 feat(provider): expose Atomic Chat in /provider picker with autodetect (#810)
Adds Atomic Chat as a first-class preset inside the in-session /provider
slash command, mirroring the Ollama auto-detect flow. Picking it probes
127.0.0.1:1337/v1/models, lists loaded models for direct selection, and
falls back to "Enter manually" / "Back" when the server is unreachable
or no models are loaded. README updated to reflect the new setup path.

Made-with: Cursor
2026-04-22 07:55:53 +08:00
Kevin Codex
13de4e85df fix(provider): saved profile ignored when stale CLAUDE_CODE_USE_* in shell (#807)
* fix(provider): saved profile ignored when stale CLAUDE_CODE_USE_* in shell

Users reported "my saved /provider profile isn't picked up at startup —
the banner shows gpt-4o / api.openai.com even though I saved Moonshot".

Root cause: applyActiveProviderProfileFromConfig() bailed out whenever
hasProviderSelectionFlags(processEnv) was true — i.e. whenever ANY
CLAUDE_CODE_USE_* flag was present. But a bare `CLAUDE_CODE_USE_OPENAI=1`
with no paired OPENAI_BASE_URL / OPENAI_MODEL is almost always a stale
shell export left over from a prior manual setup, not genuine startup
intent. Respecting it skipped the saved profile and let StartupScreen.ts
fall through to the hardcoded `gpt-4o` / `https://api.openai.com/v1`
defaults — the exact symptom users see.

Fix: narrow the guard from "any flag set" to "flag set AND at least one
concrete config value (BASE_URL, MODEL, or API_KEY)". A bare stale flag
no longer blocks the saved profile. A real shell selection (flag + URL
or flag + model) still wins, preserving the "explicit startup intent
overrides saved profile" contract.

New helper: hasCompleteProviderSelection(env). Per-provider check for a
paired concrete value. Bedrock/Vertex/Foundry keep the flag-alone
semantic since they rely on ambient AWS/GCP credentials rather than env
config.

Three new tests cover the bug and the two counter-cases:
  - bare USE flag → profile applies (fixes the bug)
  - USE flag + BASE_URL → profile blocked (preserves explicit intent)
  - USE flag + MODEL → profile blocked (preserves explicit intent)

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

* fix(provider): don't overlay stale legacy profile on plural-managed env

Second half of the "saved profile not picked up in banner" bug. The prior
commit fixed the guard that prevented applyActiveProviderProfileFromConfig()
from firing when a stale CLAUDE_CODE_USE_* flag was in the shell. But even
when the plural system applies correctly, buildStartupEnvFromProfile() was
then loading the legacy .openclaude-profile.json AND overwriting the
plural-managed env with whatever that file contained.

addProviderProfile() (the call path the /provider preset picker uses) does
NOT sync the legacy file, so a user who went:

  manual setup: CLAUDE_CODE_USE_OPENAI=1 + OPENAI_MODEL=gpt-4o
              → writes .openclaude-profile.json as { openai, gpt-4o, ... }
  /provider:   add Moonshot preset, mark active
              → writes plural config; legacy file UNCHANGED

would see startup reliably apply Moonshot env first, then get it clobbered
by the stale legacy file. Banner shows gpt-4o / api.openai.com while
runtime ends up with the correct env via a different code path — exactly
the user-reported symptom.

Fix: in buildStartupEnvFromProfile, when the plural system has already
set env (CLAUDE_CODE_PROVIDER_PROFILE_ENV_APPLIED === '1'), skip the
legacy-file overlay entirely and return processEnv unchanged. Legacy is
now strictly a first-run / fallback path for users who haven't adopted
the plural system.

Also removes the stripped-then-rebuilt env construction that was part of
the old overlay path — no longer needed.

Test updates:
  - Replaced "lets saved startup profile override profile-managed env"
    (encoded the old broken behavior) with a regression test that pins
    the new semantic: plural env survives when legacy is stale.
  - Added "falls back to legacy when plural hasn't applied" to pin the
    first-run path still works.

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

---------

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-22 00:59:32 +08:00
Kevin Codex
a5bfcbbadf feat(provider): zero-config autodetection primitive (#784)
First-run users with a credential already exported (ANTHROPIC_API_KEY,
OPENAI_API_KEY, etc.) currently still have to navigate the provider picker
or set CLAUDE_CODE_USE_* flags manually. Selecting the right provider from
ambient state should be automatic.

New module src/utils/providerAutoDetect.ts:

- detectProviderFromEnv() — synchronous env scan in a deterministic priority
  order (anthropic → codex → github → openai → gemini → mistral → minimax).
  Also detects Codex via ~/.codex/auth.json presence.
- detectLocalService() — parallel probes for Ollama (:11434) and LM Studio
  (:1234), with honoring of OLLAMA_BASE_URL / LM_STUDIO_BASE_URL overrides.
  Short 1.2s default timeout so first-run latency stays low when no local
  service is running.
- detectBestProvider() — orchestrator. Env scan short-circuits the probe;
  only hits the network when env has nothing.

All detection paths are side-effect-free: returns a DetectedProvider
descriptor describing what was found and why. Callers decide whether to
apply it (gated on hasExplicitProviderSelection() / profile file existence)
and how to hydrate the launch env.

Codex auth-file check is injectable (hasCodexAuth option) so tests are
hermetic from the dev machine's ~/.codex/auth.json state.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-21 23:37:04 +08:00
ArkhAngelLifeJiggy
268c0398e4 feat: add thinking token extraction (#798)
* feat: add thinking token tracking and historical analytics

- extractThinkingTokens(): separate thinking from output tokens
- TokenUsageTracker class for historical analytics
- Track: cache hit rate, most used model, requests per hour/day
- Analytics: average tokens per request, totals
- Add tests (7 passing)

PR 4B: Features 1.10 + 1.11

* refactor: extract thinking and analytics to separate files

- Create thinkingTokenExtractor.ts with ThinkingTokenAnalyzer
- Create tokenAnalytics.ts with TokenUsageTracker
- Add production-grade methods and tests
- Update test imports
2026-04-21 23:25:12 +08:00
nickmesen
761924daa7 fix: Collapse all-text arrays to string for DeepSeek compatibility (#806)
Fixes #774. When tool_result content contains multiple text blocks,
they were serialized as arrays instead of strings, causing DeepSeek
to reject the request with 400 error.

Changes:
- convertToolResultContent: collapse all-text arrays to joined string
- convertContentBlocks: defensive collapse for user/assistant messages
- Arrays with images are preserved (not collapsed)

Tests: 3 new tests added, 53 pass, 0 fail

Co-authored-by: nick.mesen <nickmesen@users.noreply.github.com>
2026-04-21 23:17:12 +08:00
Kevin Codex
e908864da7 feat(api): smart model routing primitive (cheap-for-simple, strong-for-hard) (#785)
Most everyday turns ("ok", "thanks", "yep go ahead", "what does that do?")
get no measurable quality improvement from Opus-tier models over Haiku-tier,
but cost ~10x more and stream slower. Smart routing opts a user into
automatically routing obviously-simple turns to a cheaper model while
keeping the strong model for anything non-trivial.

New module src/services/api/smartModelRouting.ts:

- routeModel(input, config) → { model, complexity, reason }
- Pure primitive: no env reads, no state, caller supplies everything.
- Config is opt-in (enabled: false by default).

Routes to strong (conservative) when ANY of:
  - First turn of session (task-setup is worth the quality)
  - Code fence or inline code span present
  - Reasoning/planning keyword (plan, design, refactor, debug, architect,
    investigate, root cause, etc. — 20+ anchors)
  - Multi-paragraph input
  - Over char/word cutoff (defaults: 160 chars, 28 words; matches hermes)

Routes to simple only for clearly-trivial chatter.
Decision includes a reason string for a future UI indicator that shows
which tier handled the turn.

Integration into query path is intentionally deferred to a follow-up PR so
the heuristics can be reviewed and tuned in isolation first.

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-21 21:50:24 +08:00
Kevin Codex
b95d2221df Feat/kimi moonshot support (#805)
* feat(provider): first-class Moonshot (Kimi) direct-API support

Moonshot's direct API (api.moonshot.ai/v1) is OpenAI-compatible and works
today via the generic OpenAI shim, including the reasoning_content channel
that Kimi returns alongside the user-visible content. But the UX was rough:
unknown context window triggered the conservative 128k fallback + a warning,
and the provider displayed as "Local OpenAI-compatible".

Makes Moonshot a recognized provider:

- src/utils/model/openaiContextWindows.ts: add the Kimi K2 family and
  moonshot-v1-* variants to both the context-window and max-output tables.
  Values from Moonshot's model card — K2.6 and K2-thinking are 256K,
  K2/K2-instruct are 128K, moonshot-v1 sizes are embedded in the model id.
- src/utils/providerDiscovery.ts: recognize the api.moonshot.ai hostname
  and label it "Moonshot (Kimi)" in the startup banner and provider UI.

Users can now launch with:

  CLAUDE_CODE_USE_OPENAI=1 \
  OPENAI_BASE_URL=https://api.moonshot.ai/v1 \
  OPENAI_API_KEY=sk-... \
  OPENAI_MODEL=kimi-k2.6 \
  openclaude

and get accurate compaction + correct labeling + correct max_tokens out
of the box.

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

* fix(openai-shim): Moonshot API compatibility — max_tokens + strip store

Moonshot's direct API (api.moonshot.ai and api.moonshot.cn) uses the
classic OpenAI `max_tokens` parameter, not the newer `max_completion_tokens`
that the shim defaults to. It also hasn't published support for `store`
and may reject it on strict-parse — same class of error as Gemini's
"Unknown name 'store': Cannot find field" 400.

- Adds isMoonshotBaseUrl() that recognizes both .ai and .cn hosts.
- Converts max_completion_tokens → max_tokens for Moonshot requests
  (alongside GitHub / Mistral / local providers).
- Strips body.store for Moonshot requests (alongside Mistral / Gemini).

Two shim tests cover both the .ai and .cn hostnames.

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

* fix: null-safe access on getCachedMCConfig() in external builds

External builds stub src/services/compact/cachedMicrocompact.ts so
getCachedMCConfig() returns null, but two call sites still dereferenced
config.supportedModels directly. The ?. operator was in the wrong place
(config.supportedModels? instead of config?.supportedModels), so the null
config threw "Cannot read properties of null (reading 'supportedModels')"
on every request.

Reproduces with any external-build provider (notably Kimi/Moonshot just
enabled in the sibling commits, but equally DeepSeek, Mistral, Groq,
Ollama, etc.):

  ❯ hey
  ⏺ Cannot read properties of null (reading 'supportedModels')

- prompts.ts: early-return from getFunctionResultClearingSection() when
  config is null, before touching .supportedModels.
- claude.ts: guard the debug-log jsonStringify with ?. so the log line
  never throws.

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

* fix(startup): show "Moonshot (Kimi)" on the startup banner

The startup-screen provider detector had regex branches for OpenRouter,
DeepSeek, Groq, Together, Azure, etc., but nothing for Moonshot. Remote
Moonshot sessions fell through to the generic "OpenAI" label —
getLocalOpenAICompatibleProviderLabel() only runs for local URLs, and
api.moonshot.ai / api.moonshot.cn are not local.

Adds a Moonshot branch matching /moonshot/ in the base URL OR /kimi/ in
the model id. Now launches with:

  OPENAI_BASE_URL=https://api.moonshot.ai/v1 OPENAI_MODEL=kimi-k2.6

display the Provider row as "Moonshot (Kimi)" instead of "OpenAI".

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

* refactor(provider): sort preset picker alphabetically; Custom at end

The /provider preset picker was in ad-hoc order (Anthropic, Ollama,
OpenAI, then a jumble of third-party / local / codex / Alibaba / custom /
nvidia / minimax). Hard to scan when you know the provider name you want.

Sorts the list alphabetically by label A→Z. Pins "Custom" to the end —
it's the catch-all / escape hatch so it's scanned last, not shuffled into
the alphabetical run where a user looking for a named provider might
grab it by mistake. First-run-only "Skip for now" stays at the very
bottom, after Custom.

Test churn:
- ProviderManager.test.tsx: four tests hardcoded press counts (1 or 3 'j'
  presses) that broke when targets moved. Replaces them with a
  navigateToPreset(stdin, label) helper driven from a declared
  PRESET_ORDER array, so future list edits only update the array.
- ConsoleOAuthFlow.test.tsx: the 13-row test frame only renders the first
  ~13 providers. "Ollama", "OpenAI", "LM Studio" sentinels moved below
  the fold; swap them for alphabetically-early providers still visible
  in-frame ("Azure OpenAI", "DeepSeek", "Google Gemini"). Test intent
  (picker opened with providers listed) is preserved.

Co-Authored-By: OpenClaude <openclaude@gitlawb.com>

---------

Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-21 21:20:54 +08:00
ArkhAngelLifeJiggy
2b15e16421 feat: add model caching and benchmarking utilities (#671)
* feat: add model caching and benchmarking utilities

- Add modelCache.ts for disk caching of model lists
- Add benchmark.ts for testing model speed/quality

* fix: address review feedback - async fs, multi-provider support, error handling

* feat: add /benchmark slash command and unit tests

* feat: add /benchmark slash command and unit tests
2026-04-21 18:36:16 +08:00
Nourrisse Florian
6a62e3ff76 feat: enable 15 additional feature flags in open build (#667)
* feat: enable 16 additional feature flags in open build

Activate features whose source is fully available in the mirror and
that have no Anthropic-internal infrastructure dependencies:

UI/UX: MESSAGE_ACTIONS, HISTORY_PICKER, QUICK_SEARCH, HOOK_PROMPTS
Reasoning: ULTRATHINK, TOKEN_BUDGET, SHOT_STATS
Agents: FORK_SUBAGENT, VERIFICATION_AGENT, MCP_SKILLS
Memory: EXTRACT_MEMORIES, AWAY_SUMMARY
Optimization: CACHED_MICROCOMPACT, PROMPT_CACHE_BREAK_DETECTION
Safety: TRANSCRIPT_CLASSIFIER
Debug: DUMP_SYSTEM_PROMPT

Also reorganize featureFlags into documented sections (disabled/upstream/new)
with inline comments explaining each flag's purpose.

* feat: add centralized GrowthBook defaults map for open build

Add _openBuildDefaults in the GrowthBook stub (no-telemetry-plugin.ts)
with all 66 runtime feature keys, organized by category with inline
comments describing each flag's purpose.

Override tengu_sedge_lantern (AWAY_SUMMARY) and tengu_hive_evidence
(VERIFICATION_AGENT) to true so these features work out of the box
without requiring manual ~/.claude/feature-flags.json setup.

Priority: feature-flags.json > _openBuildDefaults > upstream default

* feat: replace refusal language with positive security guidance

Remove refusal instructions from CYBER_RISK_INSTRUCTION since they are
redundant for Anthropic models (applied server-side) and useless for
uncensored models in multi-provider setups. Keep positive guidance for
security testing contexts and add red teaming support.

* Revert "feat: replace refusal language with positive security guidance"

This reverts commit 0463676a8f.

* fix: add EXTRACT_MEMORIES runtime gate overrides to open-build defaults

EXTRACT_MEMORIES was enabled at build-time but its runtime GrowthBook
gates (tengu_passport_quail, tengu_coral_fern) still defaulted to false,
preventing the feature from activating. Add both keys to
_openBuildDefaults so memory extraction works out of the box.

Also adds test coverage for _openBuildDefaults precedence behavior.

* docs: update GrowthBook runtime keys catalog to 88 keys

Expand the reference catalog in no-telemetry-plugin.ts from ~62 to 88
unique keys, covering all tengu_* call sites found in src/. Adds 27
previously undocumented keys including VSCode gates, dynamic configs
(auto-mode, cron, bridge), security gates, and KAIROS cron keys.

Adds "not exhaustive" disclaimer as suggested by Copilot reviewer.
Reorganizes categories with section dividers for readability.
2026-04-21 18:34:51 +08:00
3kin0x
06e7684eb5 fix(api): ensure strict role sequence and filter empty assistant messages after interruption (#745 regression) (#794) 2026-04-21 18:28:57 +08:00
Juan Camilo Auriti
ae3b723f3b fix(security): harden project settings trust boundary + MCP sanitization (#789)
* fix(security): harden project settings trust boundary + MCP sanitization

- Sanitize MCP tool result text with recursivelySanitizeUnicode() to prevent
  Unicode injection via malicious MCP servers (tool definitions and prompts
  were already sanitized, but tool call results were not)
- Read sandbox.enabled only from trusted settings sources (user, local, flag,
  policy) — exclude projectSettings to prevent malicious repos from silently
  disabling the sandbox via .claude/settings.json
- Disable git hooks in plugin marketplace clone/pull/submodule operations
  with core.hooksPath=/dev/null to prevent code execution from cloned repos
- Remove ANTHROPIC_FOUNDRY_API_KEY from SAFE_ENV_VARS to prevent credential
  injection from project-scoped settings without trust verification
- Add ssrfGuardedLookup to WebFetch HTTP requests to block DNS rebinding
  attacks that could reach cloud metadata or internal services

Security: closes trust boundary gap where project settings could override
security-critical configuration. Follows the existing pattern established
by hasAllowBypassPermissionsMode() which already excludes projectSettings.

Co-authored-by: auriti <auriti@users.noreply.github.com>

* fix(security): remove unauthenticated file-based permission polling

Remove the legacy file-based permission polling from useSwarmPermissionPoller
that read from ~/.claude/teams/{name}/permissions/resolved/ — an unauthenticated
directory where any local process could forge approval files to auto-approve
tool uses for swarm teammates.

The file polling was dead code:
- The useSwarmPermissionPoller() hook was never mounted by any component
- resolvePermission() (the file writer) was never imported outside its module
- Permission responses are delivered exclusively via the mailbox system:
  Leader: sendPermissionResponseViaMailbox() → writeToMailbox()
  Worker: useInboxPoller → processMailboxPermissionResponse()

Changes:
- Remove file polling loop, processResponse(), and React hook imports from
  useSwarmPermissionPoller.ts (now a pure callback registry module)
- Mark 7 file-based functions as @deprecated in permissionSync.ts
- Add 4 regression tests verifying the removal

No exported functions removed — only deprecated. All 5 consumer modules
verified: they import only mailbox-based functions that remain unchanged.

---------

Co-authored-by: auriti <auriti@users.noreply.github.com>
2026-04-21 18:28:03 +08:00
viudes
a6a3de5ac1 feat(api): compress old tool_result content for small-context providers (#801)
* feat(api): compress old tool_result content for small-context providers

Adds a shim-layer pass that tiers tool_result content by age on
providers
  with small effective context windows (Copilot gpt-4o 128k, Mistral,
  Ollama). Recent turns remain full; mid-tier results are truncated to
2k
  chars; older results are replaced with a stub that preserves tool name
  and arguments so the model can re-invoke if needed.

  Tier sizes auto-tune via getEffectiveContextWindowSize, same
calculation
  used by auto-compact. Reuses COMPACTABLE_TOOLS and
  TOOL_RESULT_CLEARED_MESSAGE to complement (not duplicate)
microCompact.
  Configurable via /config toolHistoryCompressionEnabled.

  Addresses active-session context accumulation on Copilot where
  microCompact's time-based trigger never fires, which surfaces as
  "tools appearing in a loop" and prompt_too_long errors after ~15
turns.

* fix: config tool history
2026-04-21 17:36:26 +08:00
Juan Camilo Auriti
64582c119d fix: replace discontinued gemini-2.5-pro-preview-03-25 with stable gemini-2.5-pro (#802)
Updates both the model config mappings (configs.ts) and the runtime
fallback in getDefaultOpusModel() (model.ts) so Gemini mode no longer
falls back to the discontinued preview model when GEMINI_MODEL is unset.

Fixes #398
2026-04-21 17:01:33 +08:00
emsanakhchivan
85eab2751e fix(ui): prevent provider manager lag by deferring sync I/O (#803)
ProviderManager was blocking the main thread with synchronous file I/O
on mount (useState initializer), activation (setActiveProviderProfile),
and refresh (getProviderProfiles). This caused noticeable lag on Windows
where disk I/O can be slow due to antivirus scans, NTFS metadata, or
cache misses.

Changes to ProviderManager:
- Deferred initialization: useState now starts empty, loads via queueMicrotask
- Added isInitializing state with loading UI
- refreshProfiles() now defers reads via queueMicrotask
- activateSelectedProvider() now defers writes via queueMicrotask
- Memoized menuOptions array to prevent re-renders during navigation

Note: ProviderChooser useMemo change was reverted as it's dead code
(ProviderWizard is not used in production - /provider uses ProviderManager).

Co-authored-by: Ali Alakbarli <ali.alakbarli@users.noreply.github.com>
2026-04-21 17:00:58 +08:00
Zartris
4d4fb2880e fix: rename .claude.json to .openclaude.json with legacy fallback (#582)
* fix: rename .claude.json to .openclaude.json with legacy fallback

Rename the global config file from ~/.claude.json to ~/.openclaude.json,
following the same migration pattern as the config directory
(~/.claude → ~/.openclaude).

- getGlobalClaudeFile() now prefers .openclaude.json; falls back to
  .claude.json only if the legacy file exists and the new one does not
- Add .openclaude.json to filesystem permissions allowlist (keep
  .claude.json for legacy file protection)
- Update all comment/string references from ~/.claude.json to
  ~/.openclaude.json across 12 files

New installs get .openclaude.json from the start. Existing users
continue using .claude.json until they rename it (or a future explicit
migration).

* test: add unit tests for getGlobalClaudeFile migration branches

Covers the three cases:
- new install (neither file exists) → .openclaude.json
- existing user (only legacy .claude.json exists) → .claude.json
- migrated user (both files exist) → .openclaude.json

---------

Co-authored-by: Zartris <14197299+Zartris@users.noreply.github.com>
2026-04-20 17:13:09 +08:00
Zartris
fdef4a1b4c feat: native Anthropic API mode for Claude models on GitHub Copilot (#579)
* feat: native Anthropic API mode for Claude models on GitHub Copilot

When using Claude models through GitHub Copilot, automatically switch from
the OpenAI-compatible shim to Anthropic's native messages API format.

The Copilot proxy (api.githubcopilot.com) supports Anthropic's native API
for Claude models. This enables cache_control blocks to be sent and
honoured, allowing explicit prompt caching control (as opposed to relying
solely on server-side auto-caching).

Changes:
- Add isGithubNativeAnthropicMode() in providers.ts that auto-enables when
  the resolved model starts with "claude-" and the GitHub provider is active
- Create a native Anthropic client in client.ts using the GitHub base URL
  and Bearer token authentication when native mode is detected
- Enable prompt caching in claude.ts for native GitHub mode so cache_control
  blocks are sent (previously only allowed for firstParty/bedrock/vertex)
- CLAUDE_CODE_GITHUB_ANTHROPIC_API=1 env var to force native mode for any
  model

Benefits:
- Proper Anthropic message format (no lossy OpenAI translation)
- Explicit cache_control blocks for fine-grained caching control
- Potentially better Claude model behaviour with native format

Related: #515

* fix: scope force flag to Claude models and add isGithubNativeAnthropicMode tests

- CLAUDE_CODE_GITHUB_ANTHROPIC_API=1 now returns false for non-Claude models
  (force flag still useful for aliases like 'github:copilot' with no model
  resolved yet, where it returns true when model is empty)
- Add 7 focused tests covering mode detection: off without GitHub provider,
  auto-detect via OPENAI_MODEL and resolvedModel, non-Claude model rejection,
  and force-flag behaviour for claude/non-claude/no-model cases

* fix: detect github:copilot:claude- compound format, remove force flag

OPENAI_MODEL for GitHub Copilot uses the format 'github:copilot:MODEL'
(e.g. 'github:copilot:claude-sonnet-4'), which does not start with 'claude-'.
Auto-detection now handles both bare model names and the compound format.

The CLAUDE_CODE_GITHUB_ANTHROPIC_API force flag is removed: with proper
compound-format detection there is no remaining gap it could fill, and
keeping a broad override flag without a concrete use case invites misuse.

Tests updated to cover the compound format, generic alias (false), and
non-Claude compound model (github:copilot:gpt-4o → false).

* fix: use includes('claude-') for model detection, remove force flag

Detection was broken for the standard GitHub Copilot compound format
'github:copilot:claude-sonnet-4' which does not start with 'claude-'.
Using includes('claude-') handles bare names, compound names, and any
future variants without needing updates.

The CLAUDE_CODE_GITHUB_ANTHROPIC_API force flag is removed as it was
a workaround for the broken detection, not a genuine use case.

---------

Co-authored-by: Zartris <14197299+Zartris@users.noreply.github.com>
2026-04-20 16:34:58 +08:00
nehan
4cb963e660 feat(api): improve local provider reliability with readiness and self-healing (#738)
* feat(api): classify openai-compatible provider failures

* Update src/services/api/providerConfig.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* feat(api): harden openai-compatible diagnostics and env fallback

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix openaiShim duplicate requests and diagnostics

* remove unused url from http failure classifier

* dedupe env diagnostic warnings

* Remove hardcoded URLs from OpenAI error tests

Removed hardcoded URLs from network failure classification tests.

* Update providerConfig.envDiagnostics.test.ts

* fix(openai-shim): return successful responses and restore localhost classifier tests

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* feat(provider): add truthful local generation readiness checks

Implement Phase 2 provider readiness behavior by adding structured Ollama generation probes, wiring setup flows to readiness states, extending system-check with generation readiness output, and updating focused tests.

* feat(api): add local self-healing fallback retries

Implement Phase 3 self-healing behavior for local OpenAI-compatible providers: retry base URL fallbacks for localhost resolution and endpoint mismatches, plus capability-gated toolless retry for tool-incompatible local models; include diagnostics and focused tests.

* fix(api): address review blockers for local provider reliability

* Update src/utils/providerDiscovery.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix: harden readiness probes and cross-platform test stability

* fix: refresh toolless retry payload and stabilize osc clipboard test

* fix: harden Ollama readiness parsing and redact provider URLs

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-20 16:24:02 +08:00
github-actions[bot]
b09972f223 chore(main): release 0.5.2 (#781)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-20 15:25:42 +08:00
Kevin Codex
336ddcc50d fix(api): replace phrase-based reasoning sanitizer with tag-based filter (#779)
Reasoning models (MiniMax M2.7, GLM-4.5/5, DeepSeek, Kimi K2) inline
chain-of-thought inside <think>...</think> tags in the content field
rather than using the reasoning_content channel. The prior phrase-matching
sanitizer (looksLikeLeakedReasoningPrefix) only caught English-prose
preambles like "I should"/"the user asked", missed tag-based leaks
entirely, and risked false-stripping legitimate assistant output.

Replace with a structural tag-based approach (same pattern as hermes-agent):

- createThinkTagFilter() — streaming state machine that buffers partial
  tags across SSE delta boundaries (<th| + |ink>), so tags split mid-chunk
  still parse correctly.
- stripThinkTags() — whole-text cleanup for non-streaming responses and
  as a safety net. Handles closed pairs, unterminated opens at block
  boundaries, and orphan tags.
- Recognizes think, thinking, reasoning, thought, REASONING_SCRATCHPAD
  case-insensitively, including tags with attributes.
- False-negative bias: flush() discards buffered partial tags at stream
  end rather than leaking them.

Existing phrase-based shim tests updated to exercise the actual <think>
tag leak. Added regression tests confirming legitimate prose starting
with "I should..." is preserved (the old sanitizer's main false-positive).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 15:18:58 +08:00
github-actions[bot]
c0b8a59a23 chore(main): release 0.5.1 (#776)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-20 12:47:40 +08:00
Kevin Codex
aab489055c fix: require trusted approval for sandbox override (#778) 2026-04-20 12:01:44 +08:00
Kevin Codex
7002cb302b fix: enforce Bash path constraints after sandbox allow (#777) 2026-04-20 11:46:24 +08:00
Kevin Codex
739b8d1f40 fix: enforce MCP OAuth callback state before errors (#775) 2026-04-20 09:36:05 +08:00
github-actions[bot]
f166ec1a4e chore(main): release 0.5.0 (#758)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-20 08:30:58 +08:00
Kevin Codex
13e9f22a83 feat: mask provider api key input (#772) 2026-04-20 08:25:22 +08:00
Kevin Codex
f828171ef1 fix: allow provider recovery during startup (#765) 2026-04-20 06:46:05 +08:00
Allan Almeida
e6e8d9a248 feat: add OPENCLAUDE_DISABLE_STRICT_TOOLS env var to opt out of strict MCP tool schema normalization (#770)
When set, disables strict schema normalization for non-Gemini providers.
Useful for OpenAI-compatible endpoints that reject MCP tools with complex
optional params (e.g. list[dict]) with "Extra required key ... supplied"
errors.
2026-04-20 06:45:01 +08:00
Sreedhar Busanelli
2c98be7002 fix: remove cached mcpClient in diagnostic tracking to prevent stale references (#727)
* fix: remove cached mcpClient in diagnostic tracking to prevent stale references

Resolves TODO comment about not caching the connected mcpClient since it can change.

Changes:
- Remove cached mcpClient field from DiagnosticTrackingService
- Add currentMcpClients storage to track active clients
- Update beforeFileEdited, getNewDiagnostics, and ensureFileOpened to accept client parameter
- Add backward-compatible methods to maintain existing API
- Update all callers to use new methods
- Add comprehensive test coverage

This prevents using stale MCP client references during reconnections,
making diagnostic tracking more reliable.

Fixes #TODO

* docs: add my contributions section to README

Add fork-specific section highlighting:
- Diagnostic tracking enhancement (PR #727)
- Technical skills demonstrated
- Links to original project and my work
- Professional contribution showcase

* revert: remove README.md contributions section to comply with reviewer request

- Remove 'My Fork & Contributions' section from README.md
- Keep README.md focused on original project documentation
- Maintain clean, project-focused README as requested by reviewer
2026-04-19 09:02:52 +08:00
3kin0x
b786b765f0 fix(api): drop orphan tool results to satisfy strict role sequence (#745)
* fix(api): drop orphan tool results to satisfy Mistral/OpenAI strict role sequence

* test: add test for orphan tool results and restore gemini comments
2026-04-19 08:57:14 +08:00
bpawnzz
55c5f262a9 fix: use raw context window for auto-compact percentage display (#748)
Problem: After auto-compaction with DeepSeek models (e.g., deepseek-chat),
the status line displayed ~16% remaining until next auto-compact, but users
expected ~30% (since compaction reduces usage to roughly half of the full
128k context).

Root cause: calculateTokenWarningState() used the auto-compaction threshold
(effectiveContextWindow - 13k buffer) as the denominator for percentLeft.
For DeepSeek-chat:
- Raw context: 128,000
- Effective: 119,808 (128k - 8,192 output reservation)
- Threshold: 106,808 (effective - 13k buffer)
At 90k usage:
  - Old: (106,808 - 90k) / 106,808 ≈ 16%
  - Expected: (128,000 - 90k) / 128,000 ≈ 30%

Fix: Change percentLeft calculation to use raw context window from
getContextWindowForModel() as denominator, while keeping threshold-based
warnings/triggers unchanged. This makes the displayed percentage show
remaining capacity relative to the model's full context size.

Impact:
- UI now shows correct % of total context remaining
- Auto-compaction trigger point unchanged (still ~90% of effective window)
- All other threshold calculations unaffected

Testing:
- Manual verification: DeepSeek-chat at 90k tokens shows 30% remaining (was 16%)
- Manual verification: Threshold still triggers at ~106k tokens
- Build succeeds: npm run build
- No breaking changes: Callers only depend on percentLeft for display; threshold logic unchanged

Fixes the user-reported discrepancy for DeepSeek and other OpenAI-compatible models.
2026-04-19 08:55:41 +08:00
Kagura
002a8f1f6d fix(mcp): sync required array with properties in tool schemas (#754)
* fix(mcp): sync required array with properties in tool schemas

MCP servers can emit schemas where the required array contains keys
not present in properties. This causes API 400 errors:
"Extra required key 'X' supplied."

- Add sanitizeSchemaRequired() to filter required arrays
- Apply it to MCP tool inputJSONSchema before sending to API
- Also fix filterSwarmFieldsFromSchema to update required after
  removing properties

Fixes #525

* test: add MCP schema required sanitization test
2026-04-19 06:44:25 +08:00
dhenuh
3d1979ff06 fix(help): prevent /help tab crash from undefined descriptions (#732)
- Guard formatDescriptionWithSource() so missing command descriptions become ''
- Harden truncate helpers to accept undefined text/path safely
- Add regression tests covering undefined input cases
2026-04-19 06:38:44 +08:00
lunamonke
b0d9fe7112 Provider loading fix (#623)
* add mistral and gemini provider type for profile provider field

* load latest locally selected

* env variables take precedence over json save

* add gemini context windows and fix gemini defaulting for env

* load on startup fix

* fix failing tests

* clarify test message

* fix variable mismatches

* fix failing test

* delete keys and set profile.apiKey for mistral and gemini

* switch model as well when switching provider

* set model when adding a new model
2026-04-18 01:46:20 +08:00
github-actions[bot]
651123db1f chore(main): release 0.4.0 (#704)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2026-04-17 19:36:32 +08:00
emsanakhchivan
34246635fb fix(ui): show correct endpoint URL in intro screen for custom Anthropic endpoints (#735)
Previously, the startup intro screen always displayed
'https://api.anthropic.com' as the endpoint for Anthropic provider,
even when a custom endpoint was configured via ANTHROPIC_BASE_URL.

This fix reads ANTHROPIC_BASE_URL from environment and displays the
actual configured endpoint, providing accurate information to users
about where their API requests will be sent (proxy gateways, staging,
custom Anthropic-compatible APIs).

Also adds isLocal detection for local endpoints to show appropriate
visual indicator in the startup banner.

Co-authored-by: Ali Alakbarli <ali.alakbarli@users.noreply.github.com>
2026-04-17 19:06:47 +08:00
regisksc
43ac6dba75 feat: add Alibaba Coding Plan (DashScope) provider support (#509)
* feat: add Alibaba Coding Plan provider presets

* fix: add DashScope presets to ProviderManager UI selection list

* feat: read DASHSCOPE_API_KEY env var for DashScope provider presets

* adds regression testing for alibaba models

* docs: add time descriptive comment

* feat(dashscope): add qwen3.6-plus model support

* fix(dashscope): remove MiniMax-M2.5 entries to prevent future key conflicts
2026-04-17 19:06:21 +08:00
nehan
80a00acc2c feat(api): classify openai-compatible provider failures (#708)
* feat(api): classify openai-compatible provider failures

* Update src/services/api/providerConfig.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* feat(api): harden openai-compatible diagnostics and env fallback

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/errors.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix openaiShim duplicate requests and diagnostics

* remove unused url from http failure classifier

* dedupe env diagnostic warnings

* Remove hardcoded URLs from OpenAI error tests

Removed hardcoded URLs from network failure classification tests.

* Update providerConfig.envDiagnostics.test.ts

* fix(openai-shim): return successful responses and restore localhost classifier tests

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/services/api/openaiShim.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-17 18:01:40 +08:00
Andrei Parshin
eed77e6579 fix: prevent crash in commands tab when description is undefined (#730)
This commit fixes a crash in the CLI that occurs when navigating to the /help commands tab. The issue happens because the truncate function receives an undefined value for the str parameter if a command lacks a description, causing the .indexOf() method to throw an exception. To resolve this, an early return check was added at the beginning of the function to gracefully handle empty values and prevent the UI from crashing.
2026-04-17 13:57:40 +08:00
guanjiawei
b280c740a6 fix serialize git worktree mutations and forward teammate PATH (#721) 2026-04-16 21:44:56 +08:00
guanjiawei
2ff5710329 fix retry Codex and OpenAI fetches via proxy-aware helper (#720) 2026-04-16 21:42:14 +08:00
emsanakhchivan
d6f5130c20 fix: focus "Done" option after completing provider manager actions (#718)
When returning to the provider manager menu after completing an action
(add, edit, delete, set active, etc.), the cursor now lands on "Done"
instead of the first option ("Add provider"). This prevents accidental
re-entry into the same action if the user presses Enter quickly.

On initial /provider invocation, the cursor still starts on the first
option ("Add provider") as expected.

Co-authored-by: Ali Alakbarli <ali.alakbarli@users.noreply.github.com>
2026-04-16 21:39:13 +08:00
Rubens Oliveira
d32a2a1329 docs: add Ollama launch integration documentation (#716)
Document the new `ollama launch openclaude` command as a shortcut
for running OpenClaude through a local Ollama instance. This is
now supported in Ollama's launch system and handles all environment
variable setup automatically — no manual env vars needed.

Changes:
- README.md: Add "Using Ollama's launch command" section after the
  manual Ollama env var setup, and update the provider table to
  list `ollama launch` as a setup path for Ollama
- docs/advanced-setup.md: Add `ollama launch` as the recommended
  method at the top of the Ollama section, with the manual env var
  approach kept below as an alternative
2026-04-16 21:23:44 +08:00
henriquepasquini2
fbcd928f7f feat(vscode): add full chat interface to OpenClaude extension (#608)
Add a Claude Code-like chat experience to the VS Code extension with:
- Streaming chat panel (sidebar + editor tab) with markdown rendering
- Tool use visualization with inline diffs (replace/with display)
- Session history browser with JSONL transcript parsing
- Thinking block indicator with elapsed time and token count
- Clickable file paths that open in the editor
- Permission mode setting (acceptEdits default)
- Multi-turn conversation support via NDJSON stream-json protocol
- Status bar with live activity indicators
- Ctrl+Shift+L keybinding to open chat panel

Made-with: Cursor

Co-authored-by: henriquepasquini2 <henriquepasquini2@users.noreply.github.com>
2026-04-16 05:04:31 +08:00
Yakout
77083d769b Fix/MCP exposure v2 TODO's (#675)
* fix: OAuth tokens secure storage for Windows & Linux

* fix(mcp): MCP Tool Re-exposure & Strict Input Validation

Fixes the MCP re-exposure bug by correctly handling tool deduplication, input validation with Ajv, and structured output (including images). Also disables experimental API betas by default to prevent 500 errors on external accounts.

* fix(mcp): skip official registry prefetch in non-first-party mode

Prevents unnecessary calls to Anthropic's MCP registry when using other API providers.

* fix(cli): disable experimental API betas by default

This prevents 500 errors from Anthropic's API when tool-calling with non-Anthropic accounts or models that don't support certain beta features.

* fix: issues raised in the PR review for #675
2026-04-16 05:03:06 +08:00
emsanakhchivan
b66633ea4d Feat/multi model provider support (#692)
* test: add tests for provider model env updates and multi-model profiles

Add comprehensive tests covering:
- OPENAI_MODEL/ANTHROPIC_MODEL env updates on provider activation
- Cross-provider type switches (openai ↔ anthropic) clearing stale env
- Multi-model profile activation using only the first model for env vars
- Model options cache population from comma-separated model lists
- getProfileModelOptions generating correct ModelOption arrays

* feat: multi-model provider support and model auto-switch

Support comma-separated model names in provider profiles (e.g.
"glm-4.7, glm-4.7-flash"). The first model is used as default on
activation; all models appear in the /model picker for easy switching.

When switching active providers, the session model now automatically
updates to the new provider's first model. The multi-model list is
preserved across switches and /model selections.

Changes:
- Add parseModelList, getPrimaryModel, hasMultipleModels utilities
  with full test coverage (19 tests)
- Use getPrimaryModel when applying profiles to process.env so only
  the primary model is set in OPENAI_MODEL/ANTHROPIC_MODEL
- Update ProviderManager UI to hint at multi-model syntax and show
  model count in provider list summaries
- Populate model options cache from multi-model profiles on activation
  so all models appear in /model picker regardless of base URL type
- Guard persistActiveProviderProfileModel against overwriting
  comma-separated lists: models already in the profile are session
  selections, not profile edits
- Set AppState.mainLoopModel to the actual model string on provider
  switch so Anthropic profiles use the configured model instead of
  falling back to the built-in default

* fix: only show profile models when provider profile env is applied

Guard the profile model picker options behind a
PROFILE_ENV_APPLIED check. getActiveProviderProfile() has a
?? profiles[0] fallback that returns the first profile even when
no profile is explicitly active, causing users with inactive
profiles to lose all standard model options (Opus, Haiku, etc.)
from the /model picker.

* fix: show all model names for profiles with 3 or fewer models

Instead of a summary format for multi-model profiles, display all
model names when there are 3 or fewer. Only use the "+ N more"
format for profiles with 4+ models.

* fix: preserve standard model options in picker alongside profile models

The previous implementation used an early return that replaced all
standard picker options (Opus, Haiku, Sonnet for Anthropic; Codex/GPT
models for OpenAI) with only the profile's custom models.

Changes:
- Collect profile models into a shared array instead of early returning
- Append profile models to firstParty path (Opus + Haiku + Sonnet + custom)
- Append profile models to PAYG 3P path (Codex + Sonnet + Opus + Haiku + custom)
- Guard collection behind PROFILE_ENV_APPLIED to avoid ?? profiles[0] fallback

Fixes review feedback: standard models are no longer hidden when a
provider profile with custom models is active. Users see both the
standard options and their profile's models.

---------

Co-authored-by: Ali Alakbarli <ali.alakbarli@users.noreply.github.com>
2026-04-16 05:01:55 +08:00
ArkhAngelLifeJiggy
51191d6132 feat: add NVIDIA NIM and MiniMax provider support (#552)
* feat: add NVIDIA NIM and MiniMax provider support

- Add nvidia-nim and minimax to --provider CLI flag
- Add model discovery for NVIDIA NIM (160+ models) and MiniMax
- Update /model picker to show provider-specific models
- Fix provider detection in startup banner
- Update .env.example with new provider options

Supported providers:
- NVIDIA NIM: https://integrate.api.nvidia.com/v1
- MiniMax: https://api.minimax.io/v1

* fix: resolve conflict in StartupScreen (keep NVIDIA/MiniMax + add Codex detection)

* fix: resolve providerProfile conflict (add imports from main, keep NVIDIA/MiniMax)

* fix: revert providerSecrets to match main (NVIDIA/MiniMax handled elsewhere)

* fix: add context window entries for NVIDIA NIM and new MiniMax models

* fix: use GLM-5 as NVIDIA NIM default and MiniMax-M2.5 for consistency

* fix: address remaining review items - add GLM/Kimi context entries, max output tokens, fix .env.example, revert to Nemotron default

* fix: filter NVIDIA NIM picker to chat/instruct models only, set provider-specific API keys from saved profiles

* chore: add more NVIDIA NIM context window entries for popular models

* fix: address remaining non-blocking items - fix base model, clear provider API keys on profile switch
2026-04-15 20:26:13 +08:00
Jeevan Mohan Pawar
6b2121da12 fix(models): prevent /models crash from non-string saved model values (#691)
* fix(models): guard GitHub default model setting against non-string values

* test(models): avoid brittle GitHub default assertion in model guard test
2026-04-15 19:47:02 +08:00
dhenuh
c207cdbdcc ci: skip release-please on fork repositories (#701) 2026-04-15 19:46:39 +08:00
Nourrisse Florian
a00b7928de fix: strip comments before scanning for missing imports (#676)
* fix: strip comments before scanning for missing imports

The scanForMissingImports regex matched require() and import() patterns
inside JSDoc comments, causing false-positive missing module detection.
A documented path like `require('./commands/proactive.js')` in a comment
was resolved from the wrong directory, marked as missing, then the global
onResolve handler intercepted ALL imports of that specifier — including
valid ones — replacing them with truthy noop stubs that broke runtime.

Strip block (/* */) and line (//) comments from source before scanning.

* fix: repair 10 pre-existing test failures

- promptIdentity.test.ts: define MACRO global (ISSUES_EXPLAINER etc.)
  for test mode where Bun.define build-time replacements aren't active
- context.test.ts: clear OPENAI_MODEL env var in each test — the user's
  environment (e.g. OPENAI_MODEL=github_copilot/gpt-5.4) polluted the
  provider-qualified lookup, returning wrong context windows
- openclaudePaths.test.ts: set CLAUDE_CONFIG_DIR to force .openclaude
  path when ~/.openclaude doesn't exist on the test machine
2026-04-15 19:42:26 +08:00
3kin0x
12dd3755c6 feat: add ripgrep to Dockerfile for faster file searching (#688) 2026-04-15 19:42:06 +08:00
dhenuh
114f772a4a tests: avoid global fetch mutation in GitHub device flow tests (#702) 2026-04-15 19:38:46 +08:00
Kevin Codex
7187fc007a docs: add Star History chart to README (#686)
Co-authored-by: OpenClaude <openclaude@gitlawb.com>
2026-04-15 02:38:05 +08:00
Fexiven
0ed50ccfe7 Fix Docker deployment (#685)
* feat: add Docker image build and push to GHCR on release

Add Dockerfile (multi-stage build with node:22-slim) and a new docker
job in the release workflow that builds and pushes to ghcr.io when
release-please creates a tag.

* feat(docker): run as non-root user and add smoke test

Run the container as a non-root appuser to reduce blast radius.
Add a smoke test step that runs --version before pushing to GHCR.

* fix(docker): use existing node user instead of creating appuser

Closes #681
2026-04-15 01:22:08 +08:00
221 changed files with 20039 additions and 3771 deletions

View File

@@ -149,6 +149,23 @@ ANTHROPIC_API_KEY=sk-ant-your-key-here
# Use a custom OpenAI-compatible endpoint (optional — defaults to api.openai.com)
# OPENAI_BASE_URL=https://api.openai.com/v1
# Fallback context window size (tokens) when the model is not found in the
# built-in table (default: 128000). Increase this for models with larger
# context windows (e.g. 200000 for Claude-sized contexts).
# CLAUDE_CODE_OPENAI_FALLBACK_CONTEXT_WINDOW=128000
# Per-model context window overrides as a JSON object.
# Takes precedence over the built-in table, so you can register new or
# custom models without patching source.
# Example: CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS={"my-corp/llm-v3":262144,"gpt-4o-mini":128000}
# CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS=
# Per-model maximum output token overrides as a JSON object.
# Use this alongside CLAUDE_CODE_OPENAI_CONTEXT_WINDOWS when your model
# supports a different output limit than what the built-in table specifies.
# Example: CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS={"my-corp/llm-v3":8192}
# CLAUDE_CODE_OPENAI_MAX_OUTPUT_TOKENS=
# -----------------------------------------------------------------------------
# Option 3: Google Gemini
@@ -225,6 +242,30 @@ ANTHROPIC_API_KEY=sk-ant-your-key-here
# GOOGLE_CLOUD_PROJECT=your-gcp-project-id
# -----------------------------------------------------------------------------
# Option 9: NVIDIA NIM
# -----------------------------------------------------------------------------
# NVIDIA NIM provides hosted inference endpoints for NVIDIA models.
# Get your API key from https://build.nvidia.com/
#
# CLAUDE_CODE_USE_OPENAI=1
# NVIDIA_API_KEY=nvapi-your-key-here
# OPENAI_BASE_URL=https://integrate.api.nvidia.com/v1
# OPENAI_MODEL=nvidia/llama-3.1-nemotron-70b-instruct
# -----------------------------------------------------------------------------
# Option 10: MiniMax
# -----------------------------------------------------------------------------
# MiniMax API provides text generation models.
# Get your API key from https://platform.minimax.io/
#
# CLAUDE_CODE_USE_OPENAI=1
# MINIMAX_API_KEY=your-minimax-key-here
# OPENAI_BASE_URL=https://api.minimax.io/v1
# OPENAI_MODEL=MiniMax-M2.5
# =============================================================================
# OPTIONAL TUNING
# =============================================================================
@@ -243,6 +284,16 @@ ANTHROPIC_API_KEY=sk-ant-your-key-here
# Disable "Co-authored-by" line in git commits made by OpenClaude
# OPENCLAUDE_DISABLE_CO_AUTHORED_BY=1
# Disable strict tool schema normalization for non-Gemini providers
# Useful when MCP tools with complex optional params (e.g. list[dict])
# trigger "Extra required key ... supplied" errors from OpenAI-compatible endpoints
# OPENCLAUDE_DISABLE_STRICT_TOOLS=1
# Disable hidden <system-reminder> messages injected into tool output
# Suppresses the file-read cyber-risk reminder and the todo/task tool nudges
# Useful for users who want full transparency over what the model sees
# OPENCLAUDE_DISABLE_TOOL_REMINDERS=1
# Custom timeout for API requests in milliseconds (default: varies)
# API_TIMEOUT_MS=60000

View File

@@ -11,6 +11,7 @@ concurrency:
jobs:
release-please:
if: ${{ github.repository == 'Gitlawb/openclaude' }}
name: Release Please
runs-on: ubuntu-latest
permissions:

2
.gitignore vendored
View File

@@ -7,6 +7,8 @@ dist/
.openclaude-profile.json
reports/
GEMINI.md
CLAUDE.md
package-lock.json
/.claude
coverage/
agent.log

View File

@@ -1,3 +1,3 @@
{
".": "0.3.0"
".": "0.6.0"
}

View File

@@ -1,5 +1,87 @@
# Changelog
## [0.6.0](https://github.com/Gitlawb/openclaude/compare/v0.5.2...v0.6.0) (2026-04-22)
### Features
* add model caching and benchmarking utilities ([#671](https://github.com/Gitlawb/openclaude/issues/671)) ([2b15e16](https://github.com/Gitlawb/openclaude/commit/2b15e16421f793f954a92c53933a07094544b29d))
* add thinking token extraction ([#798](https://github.com/Gitlawb/openclaude/issues/798)) ([268c039](https://github.com/Gitlawb/openclaude/commit/268c0398e4bf1ab898069c61500a2b3c226a0322))
* **api:** compress old tool_result content for small-context providers ([#801](https://github.com/Gitlawb/openclaude/issues/801)) ([a6a3de5](https://github.com/Gitlawb/openclaude/commit/a6a3de5ac155fe9d00befbfcab98d439314effd8))
* **api:** improve local provider reliability with readiness and self-healing ([#738](https://github.com/Gitlawb/openclaude/issues/738)) ([4cb963e](https://github.com/Gitlawb/openclaude/commit/4cb963e660dbd6ee438c04042700db05a9d32c59))
* **api:** smart model routing primitive (cheap-for-simple, strong-for-hard) ([#785](https://github.com/Gitlawb/openclaude/issues/785)) ([e908864](https://github.com/Gitlawb/openclaude/commit/e908864da7e7c987a98053ac5d18d702e192db2b))
* enable 15 additional feature flags in open build ([#667](https://github.com/Gitlawb/openclaude/issues/667)) ([6a62e3f](https://github.com/Gitlawb/openclaude/commit/6a62e3ff76ba9ba446b8e20cf2bb139ee76a9387))
* native Anthropic API mode for Claude models on GitHub Copilot ([#579](https://github.com/Gitlawb/openclaude/issues/579)) ([fdef4a1](https://github.com/Gitlawb/openclaude/commit/fdef4a1b4ce218ded4937ca83b30acce7c726472))
* **provider:** expose Atomic Chat in /provider picker with autodetect ([#810](https://github.com/Gitlawb/openclaude/issues/810)) ([ee19159](https://github.com/Gitlawb/openclaude/commit/ee19159c17b3de3b4a8b4a4541a6569f4261d54e))
* **provider:** zero-config autodetection primitive ([#784](https://github.com/Gitlawb/openclaude/issues/784)) ([a5bfcbb](https://github.com/Gitlawb/openclaude/commit/a5bfcbbadf8e9a1fd42f3e103d295524b8da64b0))
### Bug Fixes
* **api:** ensure strict role sequence and filter empty assistant messages after interruption ([#745](https://github.com/Gitlawb/openclaude/issues/745) regression) ([#794](https://github.com/Gitlawb/openclaude/issues/794)) ([06e7684](https://github.com/Gitlawb/openclaude/commit/06e7684eb56df8e694ac784575e163641931c44c))
* Collapse all-text arrays to string for DeepSeek compatibility ([#806](https://github.com/Gitlawb/openclaude/issues/806)) ([761924d](https://github.com/Gitlawb/openclaude/commit/761924daa7e225fe8acf41651408c7cae639a511))
* **model:** codex/nvidia-nim/minimax now read OPENAI_MODEL env ([#815](https://github.com/Gitlawb/openclaude/issues/815)) ([4581208](https://github.com/Gitlawb/openclaude/commit/458120889f6ce54cc9f0b287461d5e38eae48a20))
* **provider:** saved profile ignored when stale CLAUDE_CODE_USE_* in shell ([#807](https://github.com/Gitlawb/openclaude/issues/807)) ([13de4e8](https://github.com/Gitlawb/openclaude/commit/13de4e85df7f5fadc8cd15a76076374dc112360b))
* rename .claude.json to .openclaude.json with legacy fallback ([#582](https://github.com/Gitlawb/openclaude/issues/582)) ([4d4fb28](https://github.com/Gitlawb/openclaude/commit/4d4fb2880e4d0e3a62d8715e1ec13d932e736279))
* replace discontinued gemini-2.5-pro-preview-03-25 with stable gemini-2.5-pro ([#802](https://github.com/Gitlawb/openclaude/issues/802)) ([64582c1](https://github.com/Gitlawb/openclaude/commit/64582c119d5d0278195271379da4a68d59a89c1f)), closes [#398](https://github.com/Gitlawb/openclaude/issues/398)
* **security:** harden project settings trust boundary + MCP sanitization ([#789](https://github.com/Gitlawb/openclaude/issues/789)) ([ae3b723](https://github.com/Gitlawb/openclaude/commit/ae3b723f3b297b49925cada4728f3174aee8bf12))
* **test:** autoCompact floor assertion is flag-sensitive ([#816](https://github.com/Gitlawb/openclaude/issues/816)) ([c13842e](https://github.com/Gitlawb/openclaude/commit/c13842e91c7227246520955de6ae0636b30def9a))
* **ui:** prevent provider manager lag by deferring sync I/O ([#803](https://github.com/Gitlawb/openclaude/issues/803)) ([85eab27](https://github.com/Gitlawb/openclaude/commit/85eab2751e7d351bb0ed6a3fe0e15461d241c9cb))
## [0.5.2](https://github.com/Gitlawb/openclaude/compare/v0.5.1...v0.5.2) (2026-04-20)
### Bug Fixes
* **api:** replace phrase-based reasoning sanitizer with tag-based filter ([#779](https://github.com/Gitlawb/openclaude/issues/779)) ([336ddcc](https://github.com/Gitlawb/openclaude/commit/336ddcc50d59d79ebff50993f2673652aecb0d7d))
## [0.5.1](https://github.com/Gitlawb/openclaude/compare/v0.5.0...v0.5.1) (2026-04-20)
### Bug Fixes
* enforce Bash path constraints after sandbox allow ([#777](https://github.com/Gitlawb/openclaude/issues/777)) ([7002cb3](https://github.com/Gitlawb/openclaude/commit/7002cb302b78ea2a19da3f26226de24e2903fa1d))
* enforce MCP OAuth callback state before errors ([#775](https://github.com/Gitlawb/openclaude/issues/775)) ([739b8d1](https://github.com/Gitlawb/openclaude/commit/739b8d1f40fde0e401a5cbd2b9a55d88bd5124ad))
* require trusted approval for sandbox override ([#778](https://github.com/Gitlawb/openclaude/issues/778)) ([aab4890](https://github.com/Gitlawb/openclaude/commit/aab489055c53dd64369414116fe93226d2656273))
## [0.5.0](https://github.com/Gitlawb/openclaude/compare/v0.4.0...v0.5.0) (2026-04-20)
### Features
* add OPENCLAUDE_DISABLE_STRICT_TOOLS env var to opt out of strict MCP tool schema normalization ([#770](https://github.com/Gitlawb/openclaude/issues/770)) ([e6e8d9a](https://github.com/Gitlawb/openclaude/commit/e6e8d9a24897e4c9ef08b72df20fabbf8ef27f38))
* mask provider api key input ([#772](https://github.com/Gitlawb/openclaude/issues/772)) ([13e9f22](https://github.com/Gitlawb/openclaude/commit/13e9f22a83a2b0f85f557b1e12c9442ba61241e4))
### Bug Fixes
* allow provider recovery during startup ([#765](https://github.com/Gitlawb/openclaude/issues/765)) ([f828171](https://github.com/Gitlawb/openclaude/commit/f828171ef1ab94e2acf73a28a292799e4e26cc0d))
* **api:** drop orphan tool results to satisfy strict role sequence ([#745](https://github.com/Gitlawb/openclaude/issues/745)) ([b786b76](https://github.com/Gitlawb/openclaude/commit/b786b765f01f392652eaf28ed3579a96b7260a53))
* **help:** prevent /help tab crash from undefined descriptions ([#732](https://github.com/Gitlawb/openclaude/issues/732)) ([3d1979f](https://github.com/Gitlawb/openclaude/commit/3d1979ff066db32415e0c8321af916d81f5f2621))
* **mcp:** sync required array with properties in tool schemas ([#754](https://github.com/Gitlawb/openclaude/issues/754)) ([002a8f1](https://github.com/Gitlawb/openclaude/commit/002a8f1f6de2fcfc917165d828501d3047bad61f))
* remove cached mcpClient in diagnostic tracking to prevent stale references ([#727](https://github.com/Gitlawb/openclaude/issues/727)) ([2c98be7](https://github.com/Gitlawb/openclaude/commit/2c98be700274a4241963b5f43530bf3bd8f8963f))
* use raw context window for auto-compact percentage display ([#748](https://github.com/Gitlawb/openclaude/issues/748)) ([55c5f26](https://github.com/Gitlawb/openclaude/commit/55c5f262a9a5a8be0aa9ae8dc6c7dafc465eb2c6))
## [0.4.0](https://github.com/Gitlawb/openclaude/compare/v0.3.0...v0.4.0) (2026-04-17)
### Features
* add Alibaba Coding Plan (DashScope) provider support ([#509](https://github.com/Gitlawb/openclaude/issues/509)) ([43ac6db](https://github.com/Gitlawb/openclaude/commit/43ac6dba75537282da1e2ad8f855082bc4e25f1e))
* add NVIDIA NIM and MiniMax provider support ([#552](https://github.com/Gitlawb/openclaude/issues/552)) ([51191d6](https://github.com/Gitlawb/openclaude/commit/51191d61326e1f8319d70b3a3c0d9229e185a564))
* add ripgrep to Dockerfile for faster file searching ([#688](https://github.com/Gitlawb/openclaude/issues/688)) ([12dd375](https://github.com/Gitlawb/openclaude/commit/12dd3755c619cc27af3b151ae8fdb9d425a7b9a2))
* **api:** classify openai-compatible provider failures ([#708](https://github.com/Gitlawb/openclaude/issues/708)) ([80a00ac](https://github.com/Gitlawb/openclaude/commit/80a00acc2c6dc4657a78de7366f7a9ebc920bfbb))
* **vscode:** add full chat interface to OpenClaude extension ([#608](https://github.com/Gitlawb/openclaude/issues/608)) ([fbcd928](https://github.com/Gitlawb/openclaude/commit/fbcd928f7f8511da795aea3ad318bddf0ab9a1a7))
### Bug Fixes
* focus "Done" option after completing provider manager actions ([#718](https://github.com/Gitlawb/openclaude/issues/718)) ([d6f5130](https://github.com/Gitlawb/openclaude/commit/d6f5130c204d8ffe582212466768706cd7fd6774))
* **models:** prevent /models crash from non-string saved model values ([#691](https://github.com/Gitlawb/openclaude/issues/691)) ([6b2121d](https://github.com/Gitlawb/openclaude/commit/6b2121da12189fa7ce1f33394d18abd24cf8a01b))
* prevent crash in commands tab when description is undefined ([#730](https://github.com/Gitlawb/openclaude/issues/730)) ([eed77e6](https://github.com/Gitlawb/openclaude/commit/eed77e6579866a98384dcc948a0ad6406614ede3))
* strip comments before scanning for missing imports ([#676](https://github.com/Gitlawb/openclaude/issues/676)) ([a00b792](https://github.com/Gitlawb/openclaude/commit/a00b7928de9662ffb7ef6abd8cd040afe6f4f122))
* **ui:** show correct endpoint URL in intro screen for custom Anthropic endpoints ([#735](https://github.com/Gitlawb/openclaude/issues/735)) ([3424663](https://github.com/Gitlawb/openclaude/commit/34246635fb9a09499047a52e7f96ca9b36c8a85a))
## [0.3.0](https://github.com/Gitlawb/openclaude/compare/v0.2.3...v0.3.0) (2026-04-14)

View File

@@ -36,14 +36,11 @@ COPY --from=build /app/node_modules/ node_modules/
COPY --from=build /app/package.json package.json
COPY README.md ./
# Install git — many CLI tool operations depend on it
RUN apt-get update && apt-get install -y --no-install-recommends git \
# Install git and ripgrep — many CLI tool operations depend on them
RUN apt-get update && apt-get install -y --no-install-recommends git ripgrep \
&& rm -rf /var/lib/apt/lists/*
# Run as non-root user
RUN groupadd --gid 1000 appuser && useradd --uid 1000 --gid appuser --shell /bin/bash --create-home appuser
USER appuser
WORKDIR /home/appuser
ENV HOME=/home/appuser
USER node
ENTRYPOINT ["node", "/app/dist/cli.mjs"]

View File

@@ -15,6 +15,10 @@ OpenClaude is also mirrored to GitLawb:
[Quick Start](#quick-start) | [Setup Guides](#setup-guides) | [Providers](#supported-providers) | [Source Build](#source-build-and-local-development) | [VS Code Extension](#vs-code-extension) | [Community](#community)
## Star History
[![Star History Chart](https://api.star-history.com/chart?repos=gitlawb/openclaude&type=date&legend=top-left)](https://www.star-history.com/?repos=gitlawb%2Fopenclaude&type=date&legend=top-left)
## Why OpenClaude
- Use one CLI across cloud APIs and local model backends
@@ -88,6 +92,16 @@ $env:OPENAI_MODEL="qwen2.5-coder:7b"
openclaude
```
### Using Ollama's launch command
If you have [Ollama](https://ollama.com) installed, you can skip the env var setup entirely:
```bash
ollama launch openclaude --model qwen2.5-coder:7b
```
This automatically sets `ANTHROPIC_BASE_URL`, model routing, and auth so all API traffic goes through your local Ollama instance. Works with any model you have pulled — local or cloud.
## Setup Guides
Beginner-friendly guides:
@@ -110,8 +124,8 @@ Advanced and source-build guides:
| GitHub Models | `/onboard-github` | Interactive onboarding with saved credentials |
| Codex OAuth | `/provider` | Opens ChatGPT sign-in in your browser and stores Codex credentials securely |
| Codex | `/provider` | Uses existing Codex CLI auth, OpenClaude secure storage, or env credentials |
| Ollama | `/provider` or env vars | Local inference with no API key |
| Atomic Chat | advanced setup | Local Apple Silicon backend |
| Ollama | `/provider`, env vars, or `ollama launch` | Local inference with no API key |
| Atomic Chat | `/provider`, env vars, or `bun run dev:atomic-chat` | Local Model Provider; auto-detects loaded models |
| Bedrock / Vertex / Foundry | env vars | Additional provider integrations for supported environments |
## What Works
@@ -317,7 +331,8 @@ For larger changes, open an issue first so the scope is clear before implementat
- `bun run build`
- `bun run test:coverage`
- `bun run smoke`
- focused `bun test ...` runs for touched areas
- focused `bun test ...` runs for files and flows you changed
## Disclaimer

View File

@@ -84,6 +84,16 @@ OpenRouter model availability changes over time. If a model stops working, try a
### Ollama
Using `ollama launch` (recommended if you have Ollama installed):
```bash
ollama launch openclaude --model llama3.3:70b
```
This handles all environment setup automatically — no env vars needed. Works with any local or cloud model available in your Ollama instance.
Using environment variables manually:
```bash
ollama pull llama3.3:70b

333
docs/hook-chains.md Normal file
View File

@@ -0,0 +1,333 @@
# Hook Chains (Self-Healing Agent Mesh MVP)
Hook Chains provide an event-driven recovery layer for important workflow failures.
When a matching hook event occurs, OpenClaude evaluates declarative rules and can dispatch remediation actions such as:
- `spawn_fallback_agent`
- `notify_team`
- `warm_remote_capacity`
## Disabled-By-Default Rollout
> **Rollout recommendation:** keep Hook Chains disabled until you validate rules in your environment.
>
> - Set top-level config to `"enabled": false` initially.
> - Enable per environment when ready.
> - Dispatch is gated by `feature('HOOK_CHAINS')`.
> - Env gate defaults to off unless `CLAUDE_CODE_ENABLE_HOOK_CHAINS=1` is set.
This keeps existing workflows unchanged while you tune guard windows and action behavior.
## Feature Overview
Hook Chains are loaded from a deterministic config file and evaluated on dispatched hook events.
MVP runtime trigger wiring:
- `PostToolUseFailure` hooks dispatch Hook Chains with outcome `failed`.
- `TaskCompleted` hooks dispatch Hook Chains with outcome:
- `success` when completion hooks did not block.
- `failed` when completion hooks returned blocking errors or prevented continuation.
Default config path:
- `.openclaude/hook-chains.json`
Override path:
- `CLAUDE_CODE_HOOK_CHAINS_CONFIG_PATH=/abs/or/relative/path/to/hook-chains.json`
Global gate:
- `feature('HOOK_CHAINS')` must be enabled in the build
- `CLAUDE_CODE_ENABLE_HOOK_CHAINS=0|1` (defaults to disabled when unset)
## Safety Guarantees
The runtime is intentionally conservative:
- **Depth guard:** chain dispatch is blocked when `chainDepth >= maxChainDepth`.
- **Rule cooldown:** each rule can only re-fire after cooldown expires.
- **Dedup window:** identical event/action combinations are suppressed for a window.
- **Abort-safe behavior:** if the current signal is aborted, actions skip safely.
- **Policy-aware remote warm:** `warm_remote_capacity` skips when remote sessions are policy denied.
- **Bridge inactive no-op:** `warm_remote_capacity` safely skips when no active bridge handle exists.
- **Missing team context safety:** `notify_team` skips with structured reason if no team context/team file is available.
- **Fallback launcher safety:** `spawn_fallback_agent` fails with a structured reason when launch permissions/context are unavailable.
## Configuration Schema Reference
Top-level object:
```json
{
"version": 1,
"enabled": true,
"maxChainDepth": 2,
"defaultCooldownMs": 30000,
"defaultDedupWindowMs": 30000,
"rules": []
}
```
### Top-Level Fields
| Field | Type | Required | Notes |
|---|---|---:|---|
| `version` | `1` | No | Defaults to `1`. |
| `enabled` | `boolean` | No | Global feature switch for this config file. |
| `maxChainDepth` | `integer` | No | Global depth guard (default `2`, max `10`). |
| `defaultCooldownMs` | `integer` | No | Default rule cooldown in ms (default `30000`). |
| `defaultDedupWindowMs` | `integer` | No | Default action dedup window in ms (default `30000`). |
| `rules` | `HookChainRule[]` | No | Defaults to `[]`. May be omitted or empty; when no rules are present, dispatch is a no-op and returns `enabled: false`. |
> **Note:** An empty ruleset is valid and can be used to keep Hook Chains configured but effectively disabled until rules are added.
### Rule Object (`HookChainRule`)
```json
{
"id": "task-failure-recovery",
"enabled": true,
"trigger": {
"event": "TaskCompleted",
"outcome": "failed"
},
"condition": {
"toolNames": ["Edit"],
"taskStatuses": ["failed"],
"errorIncludes": ["timeout", "permission denied"],
"eventFieldEquals": {
"meta.source": "scheduler"
}
},
"cooldownMs": 60000,
"dedupWindowMs": 30000,
"maxDepth": 2,
"actions": []
}
```
| Field | Type | Required | Notes |
|---|---|---:|---|
| `id` | `string` | Yes | Stable identifier used in telemetry/guards. |
| `enabled` | `boolean` | No | Per-rule switch. |
| `trigger.event` | `HookEvent` | Yes | Event name to match. |
| `trigger.outcome` | `"success"|"failed"|"timeout"|"unknown"` | No | Single outcome matcher. |
| `trigger.outcomes` | `Outcome[]` | No | Multi-outcome matcher. Use either `outcome` or `outcomes`. |
| `condition` | `object` | No | Optional extra matching constraints. |
| `cooldownMs` | `integer` | No | Overrides global cooldown for this rule. |
| `dedupWindowMs` | `integer` | No | Overrides global dedup for this rule. |
| `maxDepth` | `integer` | No | Per-rule depth cap. |
| `actions` | `HookChainAction[]` | Yes | One or more actions to execute in order. |
### Condition Fields
| Field | Type | Notes |
|---|---|---|
| `toolNames` | `string[]` | Matches `tool_name` / `toolName` in event payload. |
| `taskStatuses` | `string[]` | Matches `task_status` / `taskStatus` / `status`. |
| `errorIncludes` | `string[]` | Case-insensitive substring match against `error` / `reason` / `message`. |
| `eventFieldEquals` | `Record<string, string\|number\|boolean>` | Dot-path equality against payload (example: `"meta.source": "scheduler"`). |
### Actions
#### `spawn_fallback_agent`
```json
{
"type": "spawn_fallback_agent",
"id": "fallback-1",
"enabled": true,
"dedupWindowMs": 30000,
"description": "Fallback recovery for failed task",
"promptTemplate": "Recover task ${TASK_SUBJECT}. Event=${EVENT_NAME}, outcome=${OUTCOME}, error=${ERROR}. Payload=${PAYLOAD_JSON}",
"agentType": "general-purpose",
"model": "sonnet"
}
```
#### `notify_team`
```json
{
"type": "notify_team",
"id": "notify-ops",
"enabled": true,
"dedupWindowMs": 30000,
"teamName": "mesh-team",
"recipients": ["*"],
"summary": "Hook chain ${RULE_ID} fired",
"messageTemplate": "Event=${EVENT_NAME} outcome=${OUTCOME}\nTask=${TASK_ID}\nError=${ERROR}\nPayload=${PAYLOAD_JSON}"
}
```
#### `warm_remote_capacity`
```json
{
"type": "warm_remote_capacity",
"id": "warm-bridge",
"enabled": true,
"dedupWindowMs": 60000,
"createDefaultEnvironmentIfMissing": false
}
```
## Complete Example Configs
### 1) Retry via Fallback Agent
```json
{
"version": 1,
"enabled": true,
"maxChainDepth": 2,
"defaultCooldownMs": 30000,
"defaultDedupWindowMs": 30000,
"rules": [
{
"id": "retry-task-via-fallback",
"trigger": {
"event": "TaskCompleted",
"outcome": "failed"
},
"cooldownMs": 60000,
"actions": [
{
"type": "spawn_fallback_agent",
"id": "spawn-retry-agent",
"description": "Retry failed task with fallback agent",
"promptTemplate": "A task failed. Recover it safely.\nTask=${TASK_SUBJECT}\nDescription=${TASK_DESCRIPTION}\nError=${ERROR}\nPayload=${PAYLOAD_JSON}",
"agentType": "general-purpose",
"model": "sonnet"
}
]
}
]
}
```
### 2) Notify Only
```json
{
"version": 1,
"enabled": true,
"maxChainDepth": 2,
"defaultCooldownMs": 30000,
"defaultDedupWindowMs": 30000,
"rules": [
{
"id": "notify-on-tool-failure",
"trigger": {
"event": "PostToolUseFailure",
"outcome": "failed"
},
"condition": {
"toolNames": ["Edit", "Write", "Bash"]
},
"actions": [
{
"type": "notify_team",
"id": "notify-team-failure",
"recipients": ["*"],
"summary": "Tool failure detected",
"messageTemplate": "Tool failure detected.\nEvent=${EVENT_NAME} outcome=${OUTCOME}\nError=${ERROR}\nPayload=${PAYLOAD_JSON}"
}
]
}
]
}
```
### 3) Combined Fallback + Notify + Bridge Warm
```json
{
"version": 1,
"enabled": true,
"maxChainDepth": 2,
"defaultCooldownMs": 45000,
"defaultDedupWindowMs": 30000,
"rules": [
{
"id": "full-recovery-chain",
"trigger": {
"event": "TaskCompleted",
"outcomes": ["failed", "timeout"]
},
"condition": {
"errorIncludes": ["timeout", "capacity", "connection"]
},
"cooldownMs": 90000,
"actions": [
{
"type": "spawn_fallback_agent",
"id": "fallback-agent",
"description": "Recover failed task execution",
"promptTemplate": "Recover failed task and produce a concise fix summary.\nTask=${TASK_SUBJECT}\nError=${ERROR}\nPayload=${PAYLOAD_JSON}"
},
{
"type": "notify_team",
"id": "notify-team",
"recipients": ["*"],
"summary": "Recovery chain triggered",
"messageTemplate": "Recovery chain ${RULE_ID} fired.\nOutcome=${OUTCOME}\nTask=${TASK_SUBJECT}\nError=${ERROR}"
},
{
"type": "warm_remote_capacity",
"id": "warm-capacity",
"createDefaultEnvironmentIfMissing": false
}
]
}
]
}
```
## Template Variables
The following placeholders are supported by `promptTemplate`, `summary`, and `messageTemplate`:
- `${EVENT_NAME}`
- `${OUTCOME}`
- `${RULE_ID}`
- `${TASK_SUBJECT}`
- `${TASK_DESCRIPTION}`
- `${TASK_ID}`
- `${ERROR}`
- `${PAYLOAD_JSON}`
## Troubleshooting
### Rule never triggers
- Verify `trigger.event` and `trigger.outcome`/`trigger.outcomes` exactly match dispatched event data.
- Check `condition` filters (especially `toolNames` and `eventFieldEquals` dot-path keys).
- Confirm the config file is valid JSON and schema-valid.
### Actions show as skipped
Common skip reasons:
- `action disabled`
- `rule cooldown active ...`
- `dedup window active ...`
- `max chain depth reached ...`
- `No team context is available ...`
- `Team file not found ...`
- `Remote sessions are blocked by policy`
- `Bridge is not active; warm_remote_capacity is a safe no-op`
- `No fallback agent launcher is registered in runtime context`
### Config changes not reflected
- Loader uses memoization by file mtime/size.
- Ensure your editor writes the file fully and updates mtime.
- If needed, force reload from the caller side with `forceReloadConfig: true`.
### Existing workflows changed unexpectedly
- Set `"enabled": false` at top-level.
- Or globally disable with `CLAUDE_CODE_ENABLE_HOOK_CHAINS=0`.
- Re-enable gradually after validating one rule at a time.

View File

@@ -1,67 +0,0 @@
# Codebase Intelligence — Repo Map
The repo map feature gives the AI model structural awareness of your codebase at the start of each session. Instead of the model needing to explore the repository with `Grep`, `Glob`, and `Read` calls, it starts with a ranked summary of the most important files and their key signatures.
## How it works
1. **File enumeration** — Lists all tracked files via `git ls-files` (falls back to a manual directory walk when not in a git repo)
2. **Symbol extraction** — Parses each supported source file with tree-sitter to extract function, class, type, and interface definitions, plus cross-file references
3. **Reference graph** — Builds a directed graph where an edge from file A to file B means A references a symbol defined in B. Edges are weighted by reference count multiplied by the IDF (inverse document frequency) of the symbol name — common names like `get`, `set`, `value` contribute less
4. **PageRank** — Ranks files by structural importance using PageRank. Files imported by many others rank highest
5. **Rendering** — Walks ranked files top-down, emitting file paths and definition signatures, stopping when the token budget is reached
Results are cached to disk (`~/.openclaude/repomap-cache/`) keyed by file path, mtime, and size. Only changed files are re-parsed on subsequent runs.
## Supported languages
- TypeScript (`.ts`, `.tsx`)
- JavaScript (`.js`, `.jsx`, `.mjs`, `.cjs`)
- Python (`.py`)
Additional language grammars will be added in future releases.
## Enabling auto-injection
The repo map is gated behind the `REPO_MAP` feature flag, **off by default**. To enable auto-injection into the session context:
Set the environment variable before launching:
```bash
REPO_MAP=1 openclaude
```
Or add it to your shell profile for persistent use.
When enabled, the map is built once per session and prepended to the system context alongside git status and CLAUDE.md content. The default budget is 1024 tokens.
Auto-injection is skipped in:
- Bare mode (`--bare`)
- Remote sessions (`CLAUDE_CODE_REMOTE`)
## The /repomap slash command
The `/repomap` command is always available regardless of the feature flag. It lets you inspect and tune the map interactively.
```
/repomap # Show the map with default settings (1024 tokens)
/repomap --tokens 4096 # Increase the token budget for a larger map
/repomap --focus src/tools/ # Boost specific paths in the ranking
/repomap --focus src/context.ts # Can use multiple --focus flags
/repomap --stats # Show cache statistics
/repomap --invalidate # Clear cache and rebuild from scratch
```
## The RepoMap tool
The model can also call the `RepoMap` tool on demand during a session. This is useful when:
- The model needs structural context mid-conversation
- The user asks about specific areas (the model can pass `focus_files` or `focus_symbols`)
- A larger token budget is needed than the auto-injected default
## Known limitations
- **Signatures only** — The map shows function/class/type declarations, not implementations. The model still needs `Read` to see function bodies.
- **Cold build time** — First build on large repos (2000+ files) can take 20-30 seconds due to WASM-based parsing. Subsequent builds use the disk cache and complete in under 100ms.
- **Language coverage** — Only TypeScript, JavaScript, and Python are supported. Files in other languages are skipped.
- **TypeScript references** — The TypeScript tree-sitter query captures type annotations and `new` expressions as references, but not plain function calls. This means the ranking slightly favors type-heavy hub files.
- **Git dependency** — File enumeration uses `git ls-files` by default. Non-git repos fall back to a directory walk with hardcoded exclusions.

View File

@@ -1,6 +1,6 @@
{
"name": "@gitlawb/openclaude",
"version": "0.3.0",
"version": "0.6.0",
"description": "Claude Code opened to any LLM — OpenAI, Gemini, DeepSeek, Ollama, and 200+ models",
"type": "module",
"bin": {
@@ -95,12 +95,8 @@
"fuse.js": "7.1.0",
"get-east-asian-width": "1.5.0",
"google-auth-library": "9.15.1",
"graphology": "^0.26.0",
"graphology-operators": "^1.6.0",
"graphology-pagerank": "^1.1.0",
"https-proxy-agent": "7.0.6",
"ignore": "7.0.5",
"js-tiktoken": "^1.0.16",
"indent-string": "5.0.0",
"jsonc-parser": "3.3.1",
"lodash-es": "4.18.1",
@@ -121,13 +117,11 @@
"strip-ansi": "7.2.0",
"supports-hyperlinks": "3.2.0",
"tree-kill": "1.2.2",
"tree-sitter-wasms": "^0.1.12",
"turndown": "7.2.2",
"type-fest": "4.41.0",
"undici": "7.24.6",
"usehooks-ts": "3.1.1",
"vscode-languageserver-protocol": "3.17.5",
"web-tree-sitter": "^0.25.0",
"wrap-ansi": "9.0.2",
"ws": "8.20.0",
"xss": "1.0.15",

View File

@@ -19,30 +19,46 @@ const version = pkg.version
// Most Anthropic-internal features stay off; open-build features can be
// selectively enabled here when their full source exists in the mirror.
const featureFlags: Record<string, boolean> = {
VOICE_MODE: false,
PROACTIVE: false,
KAIROS: false,
BRIDGE_MODE: false,
DAEMON: false,
AGENT_TRIGGERS: false,
MONITOR_TOOL: true,
ABLATION_BASELINE: false,
DUMP_SYSTEM_PROMPT: false,
CACHED_MICROCOMPACT: false,
COORDINATOR_MODE: true,
BUILTIN_EXPLORE_PLAN_AGENTS: true,
CONTEXT_COLLAPSE: false,
COMMIT_ATTRIBUTION: false,
TEAMMEM: true,
UDS_INBOX: false,
BG_SESSIONS: false,
AWAY_SUMMARY: false,
TRANSCRIPT_CLASSIFIER: false,
WEB_BROWSER_TOOL: false,
MESSAGE_ACTIONS: true,
BUDDY: true,
CHICAGO_MCP: false,
COWORKER_TYPE_TELEMETRY: false,
// ── Disabled: require Anthropic infrastructure or missing source ─────
VOICE_MODE: false, // Push-to-talk STT via claude.ai OAuth endpoint
PROACTIVE: false, // Autonomous agent mode (missing proactive/ module)
KAIROS: false, // Persistent assistant/session mode (cloud backend)
BRIDGE_MODE: false, // Remote desktop bridge via CCR infrastructure
DAEMON: false, // Background daemon process (stubbed in open build)
AGENT_TRIGGERS: false, // Scheduled remote agent triggers
ABLATION_BASELINE: false, // A/B testing harness for eval experiments
CONTEXT_COLLAPSE: false, // Context collapsing optimization (stubbed)
COMMIT_ATTRIBUTION: false, // Co-Authored-By metadata in git commits
UDS_INBOX: false, // Unix Domain Socket inter-session messaging
BG_SESSIONS: false, // Background sessions via tmux (stubbed)
WEB_BROWSER_TOOL: false, // Built-in browser automation (source not mirrored)
CHICAGO_MCP: false, // Computer-use MCP (native Swift modules stubbed)
COWORKER_TYPE_TELEMETRY: false, // Telemetry for agent/coworker type classification
MCP_SKILLS: false, // Dynamic MCP skill discovery (src/skills/mcpSkills.ts not mirrored; enabling this causes "fetchMcpSkillsForClient is not a function" when MCP servers with resources connect — see #856)
// ── Enabled: upstream defaults ──────────────────────────────────────
COORDINATOR_MODE: true, // Multi-agent coordinator with worker delegation
BUILTIN_EXPLORE_PLAN_AGENTS: true, // Built-in Explore/Plan specialized subagents
BUDDY: true, // Buddy mode for paired programming
MONITOR_TOOL: true, // MCP server monitoring/streaming tool
TEAMMEM: true, // Team memory management
MESSAGE_ACTIONS: true, // Message action buttons in the UI
// ── Enabled: new activations ────────────────────────────────────────
DUMP_SYSTEM_PROMPT: true, // --dump-system-prompt CLI flag for debugging
CACHED_MICROCOMPACT: true, // Cache-aware tool result truncation optimization
AWAY_SUMMARY: true, // "While you were away" recap after 5min blur
TRANSCRIPT_CLASSIFIER: true, // Auto-approval classifier for safe tool uses
ULTRATHINK: true, // Deep thinking mode — type "ultrathink" to boost reasoning
TOKEN_BUDGET: true, // Token budget tracking with usage warnings
HISTORY_PICKER: true, // Enhanced interactive prompt history picker
QUICK_SEARCH: true, // Ctrl+G quick search across prompts
SHOT_STATS: true, // Shot distribution stats in session summary
EXTRACT_MEMORIES: true, // Auto-extract durable memories from conversations
FORK_SUBAGENT: true, // Implicit context-forking when omitting subagent_type
VERIFICATION_AGENT: true, // Built-in read-only agent for test/verification
PROMPT_CACHE_BREAK_DETECTION: true, // Detect & log unexpected prompt cache invalidations
HOOK_PROMPTS: true, // Allow tools to request interactive user prompts
}
// ── Pre-process: replace feature() calls with boolean literals ──────
@@ -367,9 +383,17 @@ export const SeverityNumber = {};
const full = pathMod.join(dir, ent.name)
if (ent.isDirectory()) { walk(full); continue }
if (!/\.(ts|tsx)$/.test(ent.name)) continue
const code: string = fs.readFileSync(full, 'utf-8')
const rawCode: string = fs.readFileSync(full, 'utf-8')
const fileDir = pathMod.dirname(full)
// Strip comments before scanning for imports/requires.
// The regex scanner matches require()/import() patterns
// inside JSDoc comments, causing false-positive missing
// module detection that breaks the build with noop stubs.
const code = rawCode
.replace(/\/\*[\s\S]*?\*\//g, '') // block comments
.replace(/\/\/.*$/gm, '') // line comments
// Collect static imports: import { X } from '...'
for (const m of code.matchAll(/import\s+(?:\{([^}]*)\}|(\w+))?\s*(?:,\s*\{([^}]*)\})?\s*from\s+['"](.*?)['"]/g)) {
checkAndRegister(m[4], fileDir, m[1] || m[3] || '')

View File

@@ -0,0 +1,47 @@
import { existsSync, readFileSync } from 'fs'
import { join } from 'path'
import { expect, test } from 'bun:test'
// Regression guard for #856. Several build feature flags require source files
// that are not mirrored into the open build. When such a flag is set to `true`
// without the source present, the bundler falls back to a missing-module stub
// that only exports `default`, which causes runtime errors like
// `fetchMcpSkillsForClient is not a function` when downstream code reaches
// through the `require()` to a named export.
//
// This test fails fast at test-time if someone re-enables one of these flags
// without first mirroring the corresponding source file.
const BUILD_SCRIPT = join(import.meta.dir, 'build.ts')
const REPO_ROOT = join(import.meta.dir, '..')
type FlagGuard = {
flag: string
source: string // path relative to repo root
}
const FLAG_REQUIRES_SOURCE: FlagGuard[] = [
{ flag: 'MCP_SKILLS', source: 'src/skills/mcpSkills.ts' },
]
test('build feature flags are not enabled without their source files', () => {
const buildScript = readFileSync(BUILD_SCRIPT, 'utf-8')
for (const { flag, source } of FLAG_REQUIRES_SOURCE) {
const enabledRe = new RegExp(`^\\s*${flag}\\s*:\\s*true\\b`, 'm')
const isEnabled = enabledRe.test(buildScript)
const sourceExists = existsSync(join(REPO_ROOT, source))
if (isEnabled && !sourceExists) {
throw new Error(
`Feature flag ${flag} is enabled in scripts/build.ts, but its required source file "${source}" does not exist. ` +
`Enabling this flag without the source will cause runtime errors (missing named exports from the missing-module stub). ` +
`Either mirror the source file or set ${flag}: false.`,
)
}
// When the source IS present, the flag can be either true or false; either
// is fine. We only care about the "enabled but missing" combination.
expect(true).toBe(true)
}
})

View File

@@ -50,6 +50,23 @@ describe('growthbook stub — local feature flag overrides', () => {
expect(stub.getAllGrowthBookFeatures()).toEqual({})
})
// ── Open-build defaults (_openBuildDefaults) ────────────────────
test('returns open-build default when flags file is absent', () => {
// tengu_passport_quail is in _openBuildDefaults as true; without a
// flags file the stub should return the open-build override, not
// the call-site defaultValue.
expect(stub.getFeatureValue_CACHED_MAY_BE_STALE('tengu_passport_quail', false)).toBe(true)
expect(stub.getFeatureValue_CACHED_MAY_BE_STALE('tengu_coral_fern', false)).toBe(true)
})
test('flags file overrides open-build defaults', () => {
// User-provided feature-flags.json takes priority over _openBuildDefaults.
writeFileSync(flagsFile, JSON.stringify({ tengu_passport_quail: false }))
expect(stub.getFeatureValue_CACHED_MAY_BE_STALE('tengu_passport_quail', true)).toBe(false)
})
// ── Valid JSON object ────────────────────────────────────────────
test('loads and returns values from a valid JSON file', () => {

View File

@@ -40,6 +40,151 @@ import _os from 'node:os';
let _flags = undefined;
// ── Open-build GrowthBook overrides ───────────────────────────────────
// Override upstream defaultValue for runtime gates tied to build-time
// features. Only keys that DIFFER from upstream belong here — the
// catalog below is pure documentation and does NOT affect resolution.
//
// Priority: ~/.claude/feature-flags.json > _openBuildDefaults > defaultValue
//
// To override at runtime, create ~/.claude/feature-flags.json:
// { "tengu_some_flag": true }
const _openBuildDefaults = {
'tengu_sedge_lantern': true, // AWAY_SUMMARY — "while you were away" recap (upstream: false)
'tengu_hive_evidence': true, // VERIFICATION_AGENT — read-only test/verification agent (upstream: false)
'tengu_passport_quail': true, // EXTRACT_MEMORIES — enable memory extraction (upstream: false)
'tengu_coral_fern': true, // EXTRACT_MEMORIES — enable memory search in past context (upstream: false)
};
/* ── Known runtime feature keys (reference only) ───────────────────────
* This catalog does NOT participate in flag resolution. It documents
* the known GrowthBook keys and their upstream default values, scraped
* from src/ call sites. It is NOT exhaustive — new keys may be added
* upstream between catalog updates.
*
* Some keys have different defaults at different call sites — this is
* intentional upstream (the server unifies the value at runtime).
*
* To activate any of these, add them to ~/.claude/feature-flags.json
* or to _openBuildDefaults above.
*
* ── Reasoning & thinking ──────────────────────────────────────────────
* tengu_turtle_carbon = true ULTRATHINK deep thinking runtime gate
* tengu_thinkback = gate /thinkback replay command
*
* ── Agents & orchestration ────────────────────────────────────────────
* tengu_amber_flint = true Agent swarms coordination
* tengu_amber_stoat = true Built-in agent availability (Explore, Plan, etc.)
* tengu_agent_list_attach = true Attach file context to agent list
* tengu_auto_background_agents = false Auto-spawn background agents
* tengu_slim_subagent_claudemd = true Lighter ClaudeMD for subagents
* tengu_hive_evidence = false Verification agent / evidence tracking (4 call sites)
* tengu_ultraplan_model = model cfg ULTRAPLAN model selection (dynamic config)
*
* ── Memory & context ──────────────────────────────────────────────────
* tengu_passport_quail = false EXTRACT_MEMORIES main gate (isExtractModeActive)
* tengu_coral_fern = false EXTRACT_MEMORIES search in past context
* tengu_slate_thimble = false Memory dir paths (non-interactive sessions)
* tengu_herring_clock = true/false Team memory paths (varies by call site)
* tengu_bramble_lintel = null Extract memories throttle (null → every turn)
* tengu_sedge_lantern = false AWAY_SUMMARY "while you were away" recap
* tengu_session_memory = false Session memory service
* tengu_sm_config = {} Session memory config (dynamic)
* tengu_sm_compact_config = {} Session memory compaction config (dynamic)
* tengu_cobalt_raccoon = false Reactive compaction (suppress auto-compact)
* tengu_pebble_leaf_prune = false Session storage pruning
*
* ── Kairos & cron ─────────────────────────────────────────────────────
* tengu_kairos_brief = false Brief layout mode (KAIROS)
* tengu_kairos_brief_config = {} Brief config (dynamic)
* tengu_kairos_cron = true Cron scheduler enable
* tengu_kairos_cron_durable = true Durable (disk-persistent) cron tasks
* tengu_kairos_cron_config = {} Cron jitter config (dynamic)
*
* ── Bridge & remote (require Anthropic infra) ─────────────────────────
* tengu_ccr_bridge = false CCR bridge connection
* tengu_ccr_bridge_multi_session = gate Multi-session spawn mode
* tengu_ccr_mirror = false CCR session mirroring
* tengu_ccr_bundle_seed_enabled = gate Git bundle seeding for CCR
* tengu_ccr_bundle_max_bytes = null Bundle size limit (null → default)
* tengu_bridge_repl_v2 = false Environment-less REPL bridge v2
* tengu_bridge_repl_v2_cse_shim_enabled = true CSE→Session tag retag shim
* tengu_bridge_min_version = {min:'0'} Min CLI version for bridge (dynamic)
* tengu_bridge_initial_history_cap = 200 Initial history cap for bridge
* tengu_bridge_system_init = false Bridge system initialization
* tengu_cobalt_harbor = false Auto-connect CCR at startup
* tengu_cobalt_lantern = false Remote setup preconditions
* tengu_remote_backend = false Remote TUI backend
* tengu_surreal_dali = false Remote agent tasks / triggers
*
* ── Prompt & API ──────────────────────────────────────────────────────
* tengu_attribution_header = true Attribution header in API requests
* tengu_basalt_3kr = true MCP instructions delta
* tengu_slate_prism = true/false Message formatting (varies by call site)
* tengu_amber_prism = false Message content formatting
* tengu_amber_json_tools = false JSON format for tool schemas
* tengu_fgts = false API feature gates
* tengu_otk_slot_v1 = false One-time key slots for API auth
* tengu_cicada_nap_ms = 0 Background GrowthBook refresh throttle (ms)
* tengu_miraculo_the_bard = false Service initialization gate
* tengu_immediate_model_command = false Immediate /model command execution
* tengu_chomp_inflection = false Prompt suggestions after responses
* tengu_tool_pear = gate API betas for tool use
* tengu-off-switch = {act:false} Service kill switch (dynamic; uses dash)
*
* ── Permissions & security ────────────────────────────────────────────
* tengu_birch_trellis = true Bash auto-mode permissions config
* tengu_auto_mode_config = {} Auto-mode configuration (dynamic, many call sites)
* tengu_iron_gate_closed = true Permission iron gate (with refresh)
* tengu_destructive_command_warning = false Warning for destructive bash commands
* tengu_disable_bypass_permissions_mode = security Security killswitch (always false in open build)
*
* ── UI & UX ───────────────────────────────────────────────────────────
* tengu_willow_mode = 'off' REPL rendering mode
* tengu_terminal_panel = false Terminal panel keybinding
* tengu_terminal_sidebar = false Terminal sidebar in REPL/config
* tengu_marble_sandcastle = false Fast mode gate
* tengu_jade_anvil_4 = false Rate limit options UI ordering
* tengu_collage_kaleidoscope = true Native clipboard image paste (macOS)
* tengu_lapis_finch = false Plugin/hint recommendation
* tengu_lodestone_enabled = false Deep links claude-cli:// protocol
* tengu_copper_panda = false Skill improvement suggestions
* tengu_desktop_upsell = {} Desktop app upsell config (dynamic)
* tengu-top-of-feed-tip = {} Emergency tip of feed (dynamic; uses dash)
*
* ── File operations ───────────────────────────────────────────────────
* tengu_quartz_lantern = false File read/write dedup optimization
* tengu_moth_copse = false Attachments handling (variant A)
* tengu_marble_fox = false Attachments handling (variant B)
* tengu_scratch = gate Scratchpad filesystem access / coordinator
*
* ── MCP & plugins ─────────────────────────────────────────────────────
* tengu_harbor = false MCP channel allowlist verification
* tengu_harbor_permissions = false MCP channel permissions enforcement
* tengu_copper_bridge = false Chrome MCP bridge
* tengu_chrome_auto_enable = false Auto-enable Chrome MCP on startup
* tengu_glacier_2xr = false Enhanced tool search / ToolSearchTool
* tengu_malort_pedway = {} Computer-use (Chicago) config (dynamic)
*
* ── VSCode / IDE ──────────────────────────────────────────────────────
* tengu_quiet_fern = false VSCode browser support
* tengu_vscode_cc_auth = false VSCode in-band OAuth via claude_authenticate
* tengu_vscode_review_upsell = gate VSCode review upsell
* tengu_vscode_onboarding = gate VSCode onboarding experience
*
* ── Voice ─────────────────────────────────────────────────────────────
* tengu_amber_quartz_disabled = false VOICE_MODE kill-switch (false = voice allowed)
*
* ── Auto-updater (stubbed in open build) ──────────────────────────────
* tengu_version_config = {min:'0'} Min version enforcement (dynamic)
* tengu_max_version_config = {} Max version / deprecation config (dynamic)
*
* ── Telemetry & tracing ───────────────────────────────────────────────
* tengu_trace_lantern = false Beta session tracing
* tengu_chair_sermon = gate Analytics / message formatting gate
* tengu_strap_foyer = false Settings sync to cloud
*/
function _loadFlags() {
if (_flags !== undefined) return;
try {
@@ -55,6 +200,7 @@ function _loadFlags() {
function _getFlagValue(key, defaultValue) {
_loadFlags();
if (_flags != null && Object.hasOwn(_flags, key)) return _flags[key];
if (Object.hasOwn(_openBuildDefaults, key)) return _openBuildDefaults[key];
return defaultValue;
}

View File

@@ -20,6 +20,23 @@ describe('formatReachabilityFailureDetail', () => {
)
})
test('redacts credentials and sensitive query parameters in endpoint details', () => {
const detail = formatReachabilityFailureDetail(
'http://user:pass@localhost:11434/v1/models?token=abc123&mode=test',
502,
'bad gateway',
{
transport: 'chat_completions',
requestedModel: 'llama3.1:8b',
resolvedModel: 'llama3.1:8b',
},
)
expect(detail).toBe(
'Unexpected status 502 from http://redacted:redacted@localhost:11434/v1/models?token=redacted&mode=test. Body: bad gateway',
)
})
test('adds alias/entitlement hint for codex model support 400s', () => {
const detail = formatReachabilityFailureDetail(
'https://chatgpt.com/backend-api/codex/responses',

View File

@@ -7,6 +7,11 @@ import {
resolveProviderRequest,
isLocalProviderUrl as isProviderLocalUrl,
} from '../src/services/api/providerConfig.js'
import {
getLocalOpenAICompatibleProviderLabel,
probeOllamaGenerationReadiness,
} from '../src/utils/providerDiscovery.js'
import { redactUrlForDisplay } from '../src/utils/urlRedaction.js'
type CheckResult = {
ok: boolean
@@ -69,7 +74,7 @@ export function formatReachabilityFailureDetail(
},
): string {
const compactBody = responseBody.trim().replace(/\s+/g, ' ').slice(0, 240)
const base = `Unexpected status ${status} from ${endpoint}.`
const base = `Unexpected status ${status} from ${redactUrlForDisplay(endpoint)}.`
const bodySuffix = compactBody ? ` Body: ${compactBody}` : ''
if (request.transport !== 'codex_responses' || status !== 400) {
@@ -255,7 +260,7 @@ function checkOpenAIEnv(): CheckResult[] {
results.push(pass('OPENAI_MODEL', process.env.OPENAI_MODEL))
}
results.push(pass('OPENAI_BASE_URL', request.baseUrl))
results.push(pass('OPENAI_BASE_URL', redactUrlForDisplay(request.baseUrl)))
if (request.transport === 'codex_responses') {
const credentials = resolveCodexApiCredentials(process.env)
@@ -308,7 +313,7 @@ async function checkBaseUrlReachability(): Promise<CheckResult> {
return pass('Provider reachability', 'Skipped (OpenAI-compatible mode disabled).')
}
if (useGithub) {
if (useGithub && !useOpenAI) {
return pass(
'Provider reachability',
'Skipped for GitHub Models (inference endpoint differs from OpenAI /models probe).',
@@ -326,6 +331,7 @@ async function checkBaseUrlReachability(): Promise<CheckResult> {
const endpoint = request.transport === 'codex_responses'
? `${request.baseUrl}/responses`
: `${request.baseUrl}/models`
const redactedEndpoint = redactUrlForDisplay(endpoint)
const controller = new AbortController()
const timeout = setTimeout(() => controller.abort(), 4000)
@@ -375,7 +381,10 @@ async function checkBaseUrlReachability(): Promise<CheckResult> {
})
if (response.status === 200 || response.status === 401 || response.status === 403) {
return pass('Provider reachability', `Reached ${endpoint} (status ${response.status}).`)
return pass(
'Provider reachability',
`Reached ${redactedEndpoint} (status ${response.status}).`,
)
}
const responseBody = await response.text().catch(() => '')
@@ -391,12 +400,100 @@ async function checkBaseUrlReachability(): Promise<CheckResult> {
)
} catch (error) {
const message = error instanceof Error ? error.message : String(error)
return fail('Provider reachability', `Failed to reach ${endpoint}: ${message}`)
return fail(
'Provider reachability',
`Failed to reach ${redactedEndpoint}: ${message}`,
)
} finally {
clearTimeout(timeout)
}
}
async function checkProviderGenerationReadiness(): Promise<CheckResult> {
const useGemini = isTruthy(process.env.CLAUDE_CODE_USE_GEMINI)
const useOpenAI = isTruthy(process.env.CLAUDE_CODE_USE_OPENAI)
const useGithub = isTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
const useMistral = isTruthy(process.env.CLAUDE_CODE_USE_MISTRAL)
if (!useGemini && !useOpenAI && !useGithub && !useMistral) {
return pass('Provider generation readiness', 'Skipped (OpenAI-compatible mode disabled).')
}
if (useGithub && !useOpenAI) {
return pass(
'Provider generation readiness',
'Skipped for GitHub Models (runtime generation uses a different endpoint flow).',
)
}
if (useGemini || useMistral) {
return pass(
'Provider generation readiness',
'Skipped for managed provider mode.',
)
}
if (!useOpenAI) {
return pass('Provider generation readiness', 'Skipped (OpenAI-compatible mode disabled).')
}
const request = resolveProviderRequest({
model: process.env.OPENAI_MODEL,
baseUrl: process.env.OPENAI_BASE_URL,
})
if (request.transport === 'codex_responses') {
return pass(
'Provider generation readiness',
'Skipped for Codex responses (reachability probe already performs a lightweight generation request).',
)
}
if (!isLocalBaseUrl(request.baseUrl)) {
return pass('Provider generation readiness', 'Skipped for non-local provider URL.')
}
const localProviderLabel = getLocalOpenAICompatibleProviderLabel(request.baseUrl)
if (localProviderLabel !== 'Ollama') {
return pass(
'Provider generation readiness',
`Skipped for ${localProviderLabel} (no provider-specific generation probe).`,
)
}
const readiness = await probeOllamaGenerationReadiness({
baseUrl: request.baseUrl,
model: request.requestedModel,
})
if (readiness.state === 'ready') {
return pass(
'Provider generation readiness',
`Generated a test response with ${readiness.probeModel ?? request.requestedModel}.`,
)
}
if (readiness.state === 'unreachable') {
return fail(
'Provider generation readiness',
`Could not reach Ollama at ${redactUrlForDisplay(request.baseUrl)}.`,
)
}
if (readiness.state === 'no_models') {
return fail(
'Provider generation readiness',
'Ollama is reachable, but no installed models were found. Pull a model first (for example: ollama pull qwen2.5-coder:7b).',
)
}
const detailSuffix = readiness.detail ? ` Detail: ${readiness.detail}.` : ''
return fail(
'Provider generation readiness',
`Ollama is reachable, but generation failed for ${readiness.probeModel ?? request.requestedModel}.${detailSuffix}`,
)
}
function isAtomicChatUrl(baseUrl: string): boolean {
try {
const parsed = new URL(baseUrl)
@@ -567,6 +664,7 @@ async function main(): Promise<void> {
results.push(checkBuildArtifacts())
results.push(...checkOpenAIEnv())
results.push(await checkBaseUrlReachability())
results.push(await checkProviderGenerationReadiness())
results.push(checkOllamaProcessorMode())
if (!options.json) {

View File

@@ -249,6 +249,11 @@ export type ToolUseContext = {
/** When true, canUseTool must always be called even when hooks auto-approve.
* Used by speculation for overlay file path rewriting. */
requireCanUseTool?: boolean
/**
* Optional callback used by hook-chain fallback actions that launch
* AgentTool from hook runtime paths.
*/
hookChainsCanUseTool?: CanUseToolFn
messages: Message[]
fileReadingLimits?: {
maxTokens?: number

View File

@@ -169,6 +169,14 @@ describe('Web search result count improvements', () => {
expect(content).toMatch(/max_uses:\s*15/)
})
test('codex web search path guarantees a non-empty result body', async () => {
const content = await file(
'tools/WebSearchTool/WebSearchTool.ts',
).text()
expect(content).toContain("results.push('No results found.')")
})
})
// ---------------------------------------------------------------------------

View File

@@ -0,0 +1,191 @@
/**
* Security hardening regression tests.
*
* Covers:
* 1. MCP tool result Unicode sanitization
* 2. Sandbox settings source filtering (exclude projectSettings)
* 3. Plugin git clone/pull hooks disabled
* 4. ANTHROPIC_FOUNDRY_API_KEY removed from SAFE_ENV_VARS
* 5. WebFetch SSRF protection via ssrfGuardedLookup
*/
import { describe, test, expect } from 'bun:test'
import { resolve } from 'path'
const SRC = resolve(import.meta.dir, '..')
const file = (relative: string) => Bun.file(resolve(SRC, relative))
// ---------------------------------------------------------------------------
// Fix 1: MCP tool result Unicode sanitization
// ---------------------------------------------------------------------------
describe('MCP tool result sanitization', () => {
test('transformResultContent sanitizes text content', async () => {
const content = await file('services/mcp/client.ts').text()
// Tool definitions are already sanitized (line ~1798)
expect(content).toContain('recursivelySanitizeUnicode(result.tools)')
// Tool results must also be sanitized
expect(content).toMatch(
/case 'text':[\s\S]*?recursivelySanitizeUnicode\(resultContent\.text\)/,
)
})
test('resource text content is also sanitized', async () => {
const content = await file('services/mcp/client.ts').text()
expect(content).toMatch(
/recursivelySanitizeUnicode\(\s*`\$\{prefix\}\$\{resource\.text\}`/,
)
})
})
// ---------------------------------------------------------------------------
// Fix 2: Sandbox settings source filtering
// ---------------------------------------------------------------------------
describe('Sandbox settings trust boundary', () => {
test('getSandboxEnabledSetting does not use getSettings_DEPRECATED', async () => {
const content = await file('utils/sandbox/sandbox-adapter.ts').text()
// Extract the getSandboxEnabledSetting function body
const fnMatch = content.match(
/function getSandboxEnabledSetting\(\)[^{]*\{([\s\S]*?)\n\}/,
)
expect(fnMatch).not.toBeNull()
const fnBody = fnMatch![1]
// Must NOT use getSettings_DEPRECATED (reads all sources including project)
expect(fnBody).not.toContain('getSettings_DEPRECATED')
// Must use getSettingsForSource for individual trusted sources
expect(fnBody).toContain("getSettingsForSource('userSettings')")
expect(fnBody).toContain("getSettingsForSource('policySettings')")
// Must NOT read from projectSettings
expect(fnBody).not.toContain("'projectSettings'")
})
})
// ---------------------------------------------------------------------------
// Fix 3: Plugin git hooks disabled
// ---------------------------------------------------------------------------
describe('Plugin git operations disable hooks', () => {
test('gitClone includes core.hooksPath=/dev/null', async () => {
const content = await file('utils/plugins/marketplaceManager.ts').text()
// The clone args must disable hooks
const cloneSection = content.slice(
content.indexOf('export async function gitClone('),
content.indexOf('export async function gitClone(') + 2000,
)
expect(cloneSection).toContain("'core.hooksPath=/dev/null'")
})
test('gitPull includes core.hooksPath=/dev/null', async () => {
const content = await file('utils/plugins/marketplaceManager.ts').text()
const pullSection = content.slice(
content.indexOf('export async function gitPull('),
content.indexOf('export async function gitPull(') + 2000,
)
expect(pullSection).toContain("'core.hooksPath=/dev/null'")
})
test('gitSubmoduleUpdate includes core.hooksPath=/dev/null', async () => {
const content = await file('utils/plugins/marketplaceManager.ts').text()
const subSection = content.slice(
content.indexOf('async function gitSubmoduleUpdate('),
content.indexOf('async function gitSubmoduleUpdate(') + 1000,
)
expect(subSection).toContain("'core.hooksPath=/dev/null'")
})
})
// ---------------------------------------------------------------------------
// Fix 4: ANTHROPIC_FOUNDRY_API_KEY not in SAFE_ENV_VARS
// ---------------------------------------------------------------------------
describe('SAFE_ENV_VARS excludes credentials', () => {
test('ANTHROPIC_FOUNDRY_API_KEY is not in SAFE_ENV_VARS', async () => {
const content = await file('utils/managedEnvConstants.ts').text()
// Extract the SAFE_ENV_VARS set definition
const safeStart = content.indexOf('export const SAFE_ENV_VARS')
const safeEnd = content.indexOf('])', safeStart)
const safeSection = content.slice(safeStart, safeEnd)
expect(safeSection).not.toContain('ANTHROPIC_FOUNDRY_API_KEY')
})
})
// ---------------------------------------------------------------------------
// Fix 5: WebFetch SSRF protection
// ---------------------------------------------------------------------------
describe('WebFetch SSRF guard', () => {
test('getWithPermittedRedirects uses ssrfGuardedLookup', async () => {
const content = await file('tools/WebFetchTool/utils.ts').text()
expect(content).toContain(
"import { ssrfGuardedLookup } from '../../utils/hooks/ssrfGuard.js'",
)
// The axios.get call in getWithPermittedRedirects must include lookup
const fnSection = content.slice(
content.indexOf('export async function getWithPermittedRedirects('),
content.indexOf('export async function getWithPermittedRedirects(') +
1000,
)
expect(fnSection).toContain('lookup: ssrfGuardedLookup')
})
})
// ---------------------------------------------------------------------------
// Fix 6: Swarm permission file polling removed (security hardening)
// ---------------------------------------------------------------------------
describe('Swarm permission file polling removed', () => {
test('useSwarmPermissionPoller hook no longer exists', async () => {
const content = await file(
'hooks/useSwarmPermissionPoller.ts',
).text()
// The file-based polling hook must not exist — it read from an
// unauthenticated resolved/ directory where any local process could
// forge approval files.
expect(content).not.toContain('function useSwarmPermissionPoller(')
// The file-based processResponse must not exist
expect(content).not.toContain('function processResponse(')
})
test('poller does not import from permissionSync', async () => {
const content = await file(
'hooks/useSwarmPermissionPoller.ts',
).text()
// Must not import anything from permissionSync — all file-based
// functions have been removed from this module's dependencies
expect(content).not.toContain('permissionSync')
})
test('file-based permission functions are marked deprecated', async () => {
const content = await file(
'utils/swarm/permissionSync.ts',
).text()
// All file-based functions must have @deprecated JSDoc
const deprecatedFns = [
'writePermissionRequest',
'readPendingPermissions',
'readResolvedPermission',
'resolvePermission',
'pollForResponse',
'removeWorkerResponse',
]
for (const fn of deprecatedFns) {
// Find the function and check that @deprecated appears before it
const fnIndex = content.indexOf(`export async function ${fn}(`)
if (fnIndex === -1) continue // submitPermissionRequest is a const, not async function
const preceding = content.slice(Math.max(0, fnIndex - 500), fnIndex)
expect(preceding).toContain('@deprecated')
}
})
test('mailbox-based functions are NOT deprecated', async () => {
const content = await file(
'utils/swarm/permissionSync.ts',
).text()
// These are the active path — must not be deprecated
const activeFns = [
'sendPermissionRequestViaMailbox',
'sendPermissionResponseViaMailbox',
]
for (const fn of activeFns) {
const fnIndex = content.indexOf(`export async function ${fn}(`)
expect(fnIndex).not.toBe(-1)
const preceding = content.slice(Math.max(0, fnIndex - 300), fnIndex)
expect(preceding).not.toContain('@deprecated')
}
})
})

View File

@@ -11,7 +11,12 @@ import { MCPServerDesktopImportDialog } from '../../components/MCPServerDesktopI
import { render } from '../../ink.js';
import { KeybindingSetup } from '../../keybindings/KeybindingProviderSetup.js';
import { type AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS, logEvent } from '../../services/analytics/index.js';
import { clearMcpClientConfig, clearServerTokensFromLocalStorage, readClientSecret, saveMcpClientSecret } from '../../services/mcp/auth.js';
import {
clearMcpClientConfig,
clearServerTokensFromSecureStorage,
readClientSecret,
saveMcpClientSecret,
} from '../../services/mcp/auth.js'
import { doctorAllServers, doctorServer, type McpDoctorReport, type McpDoctorScopeFilter } from '../../services/mcp/doctor.js';
import { connectToServer, getMcpServerConnectionBatchSize } from '../../services/mcp/client.js';
import { addMcpConfig, getAllMcpConfigs, getMcpConfigByName, getMcpConfigsByScope, removeMcpConfig } from '../../services/mcp/config.js';

30
src/commands.test.ts Normal file
View File

@@ -0,0 +1,30 @@
import { formatDescriptionWithSource } from './commands.js'
describe('formatDescriptionWithSource', () => {
test('returns empty text for prompt commands missing a description', () => {
const command = {
name: 'example',
type: 'prompt',
source: 'builtin',
description: undefined,
} as any
expect(formatDescriptionWithSource(command)).toBe('')
})
test('formats plugin commands with missing description safely', () => {
const command = {
name: 'example',
type: 'prompt',
source: 'plugin',
description: undefined,
pluginInfo: {
pluginManifest: {
name: 'MyPlugin',
},
},
} as any
expect(formatDescriptionWithSource(command)).toBe('(MyPlugin) ')
})
})

View File

@@ -22,7 +22,6 @@ import ctx_viz from './commands/ctx_viz/index.js'
import doctor from './commands/doctor/index.js'
import onboardGithub from './commands/onboard-github/index.js'
import memory from './commands/memory/index.js'
import repomap from './commands/repomap/index.js'
import help from './commands/help/index.js'
import ide from './commands/ide/index.js'
import init from './commands/init.js'
@@ -308,7 +307,6 @@ const COMMANDS = memoize((): Command[] => [
releaseNotes,
reloadPlugins,
rename,
repomap,
resume,
session,
skills,
@@ -742,23 +740,23 @@ export function getCommand(commandName: string, commands: Command[]): Command {
*/
export function formatDescriptionWithSource(cmd: Command): string {
if (cmd.type !== 'prompt') {
return cmd.description
return cmd.description ?? ''
}
if (cmd.kind === 'workflow') {
return `${cmd.description} (workflow)`
return `${cmd.description ?? ''} (workflow)`
}
if (cmd.source === 'plugin') {
const pluginName = cmd.pluginInfo?.pluginManifest.name
if (pluginName) {
return `(${pluginName}) ${cmd.description}`
return `(${pluginName}) ${cmd.description ?? ''}`
}
return `${cmd.description} (plugin)`
return `${cmd.description ?? ''} (plugin)`
}
if (cmd.source === 'builtin' || cmd.source === 'mcp') {
return cmd.description
return cmd.description ?? ''
}
if (cmd.source === 'bundled') {

56
src/commands/benchmark.ts Normal file
View File

@@ -0,0 +1,56 @@
import type { ToolUseContext } from '../Tool.js'
import type { Command } from '../types/command.js'
import {
benchmarkModel,
benchmarkMultipleModels,
formatBenchmarkResults,
isBenchmarkSupported,
} from '../utils/model/benchmark.js'
import { getOllamaModelOptions } from '../utils/model/ollamaModels.js'
async function runBenchmark(
model?: string,
context?: ToolUseContext,
): Promise<void> {
if (!isBenchmarkSupported()) {
context?.stdout?.write(
'Benchmark not supported for this provider.\n' +
'Supported: OpenAI-compatible endpoints (Ollama, NVIDIA NIM, MiniMax)\n',
)
return
}
let modelsToBenchmark: string[]
if (model) {
modelsToBenchmark = [model]
} else {
const ollamaModels = getOllamaModelOptions()
modelsToBenchmark = ollamaModels.slice(0, 3).map((m) => m.value)
}
context?.stdout?.write(`Benchmarking ${modelsToBenchmark.length} model(s)...\n`)
const results = await benchmarkMultipleModels(
modelsToBenchmark,
(completed, total, result) => {
context?.stdout?.write(
`[${completed}/${total}] ${result.model}: ` +
`${result.success ? result.tokensPerSecond.toFixed(1) + ' tps' : 'FAILED'}\n`,
)
},
)
context?.stdout?.write('\n' + formatBenchmarkResults(results) + '\n')
}
export const benchmark: Command = {
name: 'benchmark',
async onExecute(context: ToolUseContext): Promise<void> {
const args = context.args ?? {}
const model = args.model as string | undefined
await runBenchmark(model, context)
},
}

View File

@@ -401,7 +401,7 @@ test('buildCodexProfileEnv derives oauth source from secure storage when no expl
})
})
test('applySavedProfileToCurrentSession switches the current env to the saved Codex profile', async () => {
test('explicitly declared env takes precedence over applySavedProfileToCurrentSession', async () => {
// @ts-expect-error cache-busting query string for Bun module mocks
const { applySavedProfileToCurrentSession } = await import(
'../../utils/providerProfile.js?apply-saved-profile-codex'
@@ -430,18 +430,18 @@ test('applySavedProfileToCurrentSession switches the current env to the saved Co
expect(warning).toBeNull()
expect(processEnv.CLAUDE_CODE_USE_OPENAI).toBe('1')
expect(processEnv.OPENAI_MODEL).toBe('codexplan')
expect(processEnv.OPENAI_MODEL).toBe('gpt-4o')
expect(processEnv.OPENAI_BASE_URL).toBe(
'https://chatgpt.com/backend-api/codex',
"https://api.openai.com/v1",
)
expect(processEnv.CODEX_API_KEY).toBe('codex-live')
expect(processEnv.CHATGPT_ACCOUNT_ID).toBe('acct_codex')
expect(processEnv.OPENAI_API_KEY).toBeUndefined()
expect(processEnv.CODEX_API_KEY).toBeUndefined()
expect(processEnv.CHATGPT_ACCOUNT_ID).toBeUndefined()
expect(processEnv.OPENAI_API_KEY).toBe("sk-openai")
expect(processEnv.CLAUDE_CODE_PROVIDER_PROFILE_ENV_APPLIED).toBeUndefined()
expect(processEnv.CLAUDE_CODE_PROVIDER_PROFILE_ENV_APPLIED_ID).toBeUndefined()
})
test('applySavedProfileToCurrentSession ignores stale Codex env overrides for OAuth-backed profiles', async () => {
test('explicitly declared env takes precedence over applySavedProfileToCurrentSession', async () => {
// @ts-expect-error cache-busting query string for Bun module mocks
const { applySavedProfileToCurrentSession } = await import(
'../../utils/providerProfile.js?apply-saved-profile-codex-oauth'
@@ -465,13 +465,13 @@ test('applySavedProfileToCurrentSession ignores stale Codex env overrides for OA
processEnv,
})
expect(warning).toBeNull()
expect(processEnv.OPENAI_MODEL).toBe('codexplan')
expect(warning).not.toBeUndefined()
expect(processEnv.OPENAI_MODEL).toBe('gpt-4o')
expect(processEnv.OPENAI_BASE_URL).toBe(
'https://chatgpt.com/backend-api/codex',
"https://api.openai.com/v1",
)
expect(processEnv.CODEX_API_KEY).toBeUndefined()
expect(processEnv.CHATGPT_ACCOUNT_ID).not.toBe('acct_stale')
expect(processEnv.CODEX_API_KEY).toBe("stale-codex-key")
expect(processEnv.CHATGPT_ACCOUNT_ID).toBe('acct_stale')
expect(processEnv.CHATGPT_ACCOUNT_ID).toBeTruthy()
})
@@ -487,8 +487,8 @@ test('buildCurrentProviderSummary redacts poisoned model and endpoint values', (
})
expect(summary.providerLabel).toBe('OpenAI-compatible')
expect(summary.modelLabel).toBe('sk-...5678')
expect(summary.endpointLabel).toBe('sk-...5678')
expect(summary.modelLabel).toBe('sk-...678')
expect(summary.endpointLabel).toBe('sk-...678')
})
test('buildCurrentProviderSummary labels generic local openai-compatible providers', () => {

View File

@@ -66,10 +66,44 @@ import {
import {
getOllamaChatBaseUrl,
getLocalOpenAICompatibleProviderLabel,
hasLocalOllama,
listOllamaModels,
probeOllamaGenerationReadiness,
type OllamaGenerationReadiness,
} from '../../utils/providerDiscovery.js'
function describeOllamaReadinessIssue(
readiness: OllamaGenerationReadiness,
options?: {
baseUrl?: string
allowManualFallback?: boolean
},
): string {
const endpoint = options?.baseUrl ?? 'http://localhost:11434'
if (readiness.state === 'unreachable') {
return `Could not reach Ollama at ${endpoint}. Start Ollama first, then run /provider again.`
}
if (readiness.state === 'no_models') {
const manualSuffix = options?.allowManualFallback
? ', or enter details manually'
: ''
return `Ollama is running, but no installed models were found. Pull a chat model such as qwen2.5-coder:7b or llama3.1:8b first${manualSuffix}.`
}
if (readiness.state === 'generation_failed') {
const modelHint = readiness.probeModel ?? 'the selected model'
const detailSuffix = readiness.detail
? ` Details: ${readiness.detail}.`
: ''
const manualSuffix = options?.allowManualFallback
? ' You can also enter details manually.'
: ''
return `Ollama is reachable and models are installed, but a generation probe failed for ${modelHint}.${detailSuffix} Run "ollama run ${modelHint}" once and retry.${manualSuffix}`
}
return ''
}
type ProviderChoice = 'auto' | ProviderProfile | 'codex-oauth' | 'clear'
type Step =
@@ -715,6 +749,7 @@ function AutoRecommendationStep({
| {
state: 'openai'
defaultModel: string
reason: string
}
| {
state: 'error'
@@ -728,19 +763,27 @@ function AutoRecommendationStep({
void (async () => {
const defaultModel = getGoalDefaultOpenAIModel(goal)
try {
const ollamaAvailable = await hasLocalOllama()
if (!ollamaAvailable) {
const readiness = await probeOllamaGenerationReadiness()
if (readiness.state !== 'ready') {
if (!cancelled) {
setStatus({ state: 'openai', defaultModel })
setStatus({
state: 'openai',
defaultModel,
reason: describeOllamaReadinessIssue(readiness),
})
}
return
}
const models = await listOllamaModels()
const recommended = recommendOllamaModel(models, goal)
const recommended = recommendOllamaModel(readiness.models, goal)
if (!recommended) {
if (!cancelled) {
setStatus({ state: 'openai', defaultModel })
setStatus({
state: 'openai',
defaultModel,
reason:
'Ollama responded to a generation probe, but no recommended chat model matched this goal.',
})
}
return
}
@@ -796,10 +839,10 @@ function AutoRecommendationStep({
<Dialog title="Auto setup fallback" onCancel={onCancel}>
<Box flexDirection="column" gap={1}>
<Text>
No viable local Ollama chat model was detected. Auto setup can
continue into OpenAI-compatible setup with a default model of{' '}
Auto setup can continue into OpenAI-compatible setup with a default model of{' '}
{status.defaultModel}.
</Text>
<Text dimColor>{status.reason}</Text>
<Select
options={[
{ label: 'Continue to OpenAI-compatible setup', value: 'continue' },
@@ -883,32 +926,19 @@ function OllamaModelStep({
let cancelled = false
void (async () => {
const available = await hasLocalOllama()
if (!available) {
const readiness = await probeOllamaGenerationReadiness()
if (readiness.state !== 'ready') {
if (!cancelled) {
setStatus({
state: 'unavailable',
message:
'Could not reach Ollama at http://localhost:11434. Start Ollama first, then run /provider again.',
message: describeOllamaReadinessIssue(readiness),
})
}
return
}
const models = await listOllamaModels()
if (models.length === 0) {
if (!cancelled) {
setStatus({
state: 'unavailable',
message:
'Ollama is running, but no installed models were found. Pull a chat model such as qwen2.5-coder:7b or llama3.1:8b first.',
})
}
return
}
const ranked = rankOllamaModels(models, 'balanced')
const recommended = recommendOllamaModel(models, 'balanced')
const ranked = rankOllamaModels(readiness.models, 'balanced')
const recommended = recommendOllamaModel(readiness.models, 'balanced')
if (!cancelled) {
setStatus({
state: 'ready',

View File

@@ -1,17 +0,0 @@
/**
* /repomap command - minimal metadata only.
* Implementation is lazy-loaded from repomap.ts to reduce startup time.
*/
import type { Command } from '../../commands.js'
const repomap = {
type: 'local',
name: 'repomap',
description:
'Show or configure the repository structural map (codebase intelligence)',
isHidden: false,
supportsNonInteractive: true,
load: () => import('./repomap.js'),
} satisfies Command
export default repomap

View File

@@ -1,56 +0,0 @@
import { describe, expect, test } from 'bun:test'
import { parseArgs } from './repomap.js'
describe('/repomap argument parsing', () => {
test('defaults to 1024 tokens with no flags', () => {
const result = parseArgs('')
expect(result.tokens).toBe(2048)
expect(result.focus).toEqual([])
expect(result.invalidate).toBe(false)
expect(result.stats).toBe(false)
})
test('parses --tokens flag', () => {
const result = parseArgs('--tokens 4096')
expect(result.tokens).toBe(4096)
})
test('rejects --tokens below 256', () => {
const result = parseArgs('--tokens 100')
expect(result.tokens).toBe(2048) // falls back to default
})
test('rejects --tokens above 16384', () => {
const result = parseArgs('--tokens 20000')
expect(result.tokens).toBe(2048) // falls back to default
})
test('parses --focus flag', () => {
const result = parseArgs('--focus src/tools/')
expect(result.focus).toEqual(['src/tools/'])
})
test('parses multiple --focus flags', () => {
const result = parseArgs('--focus src/tools/ --focus src/context.ts')
expect(result.focus).toEqual(['src/tools/', 'src/context.ts'])
})
test('parses --invalidate flag', () => {
const result = parseArgs('--invalidate')
expect(result.invalidate).toBe(true)
expect(result.stats).toBe(false)
})
test('parses --stats flag', () => {
const result = parseArgs('--stats')
expect(result.stats).toBe(true)
expect(result.invalidate).toBe(false)
})
test('parses combined flags', () => {
const result = parseArgs('--tokens 2048 --focus src/tools/ --invalidate')
expect(result.tokens).toBe(2048)
expect(result.focus).toEqual(['src/tools/'])
expect(result.invalidate).toBe(true)
})
})

View File

@@ -1,93 +0,0 @@
import type { LocalCommandCall } from '../../types/command.js'
import { getCwd } from '../../utils/cwd.js'
/** Parse CLI-style arguments from the command string. */
export function parseArgs(args: string): {
tokens: number
focus: string[]
invalidate: boolean
stats: boolean
} {
const parts = args.trim().split(/\s+/).filter(Boolean)
let tokens = 2048
const focus: string[] = []
let invalidate = false
let stats = false
for (let i = 0; i < parts.length; i++) {
const part = parts[i]!
if (part === '--tokens' && i + 1 < parts.length) {
const n = parseInt(parts[i + 1]!, 10)
if (!isNaN(n) && n >= 256 && n <= 16384) {
tokens = n
}
i++
} else if (part === '--focus' && i + 1 < parts.length) {
focus.push(parts[i + 1]!)
i++
} else if (part === '--invalidate') {
invalidate = true
} else if (part === '--stats') {
stats = true
}
}
return { tokens, focus, invalidate, stats }
}
export const call: LocalCommandCall = async (args) => {
const root = getCwd()
const { tokens, focus, invalidate, stats } = parseArgs(args ?? '')
// Lazy import to avoid loading tree-sitter at startup
const {
buildRepoMap,
invalidateCache,
getCacheStats,
} = await import('../../context/repoMap/index.js')
if (stats) {
const cacheStats = getCacheStats(root)
const lines = [
`Repository map cache stats:`,
` Cache directory: ${cacheStats.cacheDir}`,
` Cache file: ${cacheStats.cacheFile ?? '(none)'}`,
` Cached entries: ${cacheStats.entryCount}`,
` Cache exists: ${cacheStats.exists}`,
]
return { type: 'text', value: lines.join('\n') }
}
if (invalidate) {
invalidateCache(root)
const result = await buildRepoMap({
root,
maxTokens: tokens,
focusFiles: focus.length > 0 ? focus : undefined,
})
return {
type: 'text',
value: [
`Cache invalidated and rebuilt.`,
`Files: ${result.fileCount} ranked (${result.totalFileCount} total) | Tokens: ${result.tokenCount} | Time: ${result.buildTimeMs}ms | Cache hit: ${result.cacheHit}`,
'',
result.map,
].join('\n'),
}
}
const result = await buildRepoMap({
root,
maxTokens: tokens,
focusFiles: focus.length > 0 ? focus : undefined,
})
return {
type: 'text',
value: [
`Repository map: ${result.fileCount} files ranked (${result.totalFileCount} total) | Tokens: ${result.tokenCount} | Time: ${result.buildTimeMs}ms | Cache hit: ${result.cacheHit}`,
'',
result.map,
].join('\n'),
}
}

View File

@@ -112,8 +112,10 @@ test('third-party provider branch opens the first-run provider manager', async (
)
expect(output).toContain('Set up provider')
// Use alphabetically-early sentinels so they remain visible in the
// 13-row test frame after the provider list was sorted A→Z.
expect(output).toContain('Anthropic')
expect(output).toContain('OpenAI')
expect(output).toContain('Ollama')
expect(output).toContain('LM Studio')
expect(output).toContain('Azure OpenAI')
expect(output).toContain('DeepSeek')
expect(output).toContain('Google Gemini')
})

View File

@@ -97,6 +97,47 @@ async function waitForCondition(
throw new Error('Timed out waiting for ProviderManager test condition')
}
// Provider list is sorted alphabetically by label in the preset picker, so
// reaching a given provider takes more keypresses than it used to. Keep the
// target-by-label indirection here so these tests survive future list edits
// without further churn.
//
// Order matches ProviderManager.renderPresetSelection() when
// canUseCodexOAuth === true (default in mocked tests).
const PRESET_ORDER = [
'Alibaba Coding Plan',
'Alibaba Coding Plan (China)',
'Anthropic',
'Atomic Chat',
'Azure OpenAI',
'Codex OAuth',
'DeepSeek',
'Google Gemini',
'Groq',
'LM Studio',
'MiniMax',
'Mistral',
'Moonshot AI',
'NVIDIA NIM',
'Ollama',
'OpenAI',
'OpenRouter',
'Together AI',
'Custom',
] as const
async function navigateToPreset(
stdin: { write: (data: string) => void },
label: (typeof PRESET_ORDER)[number],
): Promise<void> {
const index = PRESET_ORDER.indexOf(label)
if (index < 0) throw new Error(`Unknown preset label: ${label}`)
for (let i = 0; i < index; i++) {
stdin.write('j')
await Bun.sleep(25)
}
}
function createDeferred<T>(): {
promise: Promise<T>
resolve: (value: T) => void
@@ -149,17 +190,21 @@ function mockProviderManagerDependencies(
applySavedProfileToCurrentSession?: (...args: unknown[]) => Promise<string | null>
clearCodexCredentials?: () => { success: boolean; warning?: string }
getProviderProfiles?: () => unknown[]
hasLocalOllama?: () => Promise<boolean>
listOllamaModels?: () => Promise<
Array<{
probeOllamaGenerationReadiness?: () => Promise<{
state: 'ready' | 'unreachable' | 'no_models' | 'generation_failed'
models: Array<
{
name: string
sizeBytes?: number | null
family?: string | null
families?: string[]
parameterSize?: string | null
quantizationLevel?: string | null
}>
}
>
probeModel?: string
detail?: string
}>
codexSyncRead?: () => unknown
codexAsyncRead?: () => Promise<unknown>
updateProviderProfile?: (...args: unknown[]) => unknown
@@ -189,8 +234,12 @@ function mockProviderManagerDependencies(
})
mock.module('../utils/providerDiscovery.js', () => ({
hasLocalOllama: options?.hasLocalOllama ?? (async () => false),
listOllamaModels: options?.listOllamaModels ?? (async () => []),
probeOllamaGenerationReadiness:
options?.probeOllamaGenerationReadiness ??
(async () => ({
state: 'unreachable' as const,
models: [],
})),
}))
mock.module('../utils/githubModelsCredentials.js', () => ({
@@ -455,8 +504,9 @@ test('ProviderManager first-run Ollama preset auto-detects installed models', as
async () => undefined,
{
addProviderProfile,
hasLocalOllama: async () => true,
listOllamaModels: async () => [
probeOllamaGenerationReadiness: async () => ({
state: 'ready',
models: [
{
name: 'gemma4:31b-cloud',
family: 'gemma',
@@ -468,6 +518,8 @@ test('ProviderManager first-run Ollama preset auto-detects installed models', as
parameterSize: '2.5b',
},
],
probeModel: 'gemma4:31b-cloud',
}),
},
)
@@ -480,11 +532,10 @@ test('ProviderManager first-run Ollama preset auto-detects installed models', as
await waitForFrameOutput(
mounted.getOutput,
frame => frame.includes('Set up provider') && frame.includes('Ollama'),
frame => frame.includes('Set up provider'),
)
mounted.stdin.write('j')
await Bun.sleep(50)
await navigateToPreset(mounted.stdin, 'Ollama')
mounted.stdin.write('\r')
const modelFrame = await waitForFrameOutput(
@@ -579,12 +630,7 @@ test('ProviderManager first-run Codex OAuth switches the current session after l
frame => frame.includes('Set up provider') && frame.includes('Codex OAuth'),
)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
await navigateToPreset(mounted.stdin, 'Codex OAuth')
mounted.stdin.write('\r')
await waitForCondition(() => onDone.mock.calls.length > 0)
@@ -676,12 +722,7 @@ test('ProviderManager first-run Codex OAuth reports next-startup fallback when s
frame => frame.includes('Set up provider') && frame.includes('Codex OAuth'),
)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
await navigateToPreset(mounted.stdin, 'Codex OAuth')
mounted.stdin.write('\r')
await waitForCondition(() => onDone.mock.calls.length > 0)
@@ -775,12 +816,7 @@ test('ProviderManager does not hijack a manual Codex profile when OAuth credenti
frame => frame.includes('Set up provider') && frame.includes('Codex OAuth'),
)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
mounted.stdin.write('j')
await Bun.sleep(25)
await navigateToPreset(mounted.stdin, 'Codex OAuth')
mounted.stdin.write('\r')
await waitForCondition(() => onDone.mock.calls.length > 0)

View File

@@ -3,12 +3,14 @@ import * as React from 'react'
import { DEFAULT_CODEX_BASE_URL } from '../services/api/providerConfig.js'
import { Box, Text } from '../ink.js'
import { useKeybinding } from '../keybindings/useKeybinding.js'
import { useSetAppState } from '../state/AppState.js'
import type { ProviderProfile } from '../utils/config.js'
import {
clearCodexCredentials,
readCodexCredentialsAsync,
} from '../utils/codexCredentials.js'
import { isBareMode, isEnvTruthy } from '../utils/envUtils.js'
import { getPrimaryModel, hasMultipleModels, parseModelList } from '../utils/providerModels.js'
import {
applySavedProfileToCurrentSession,
buildCodexOAuthProfileEnv,
@@ -35,13 +37,16 @@ import {
readGithubModelsTokenAsync,
} from '../utils/githubModelsCredentials.js'
import {
hasLocalOllama,
listOllamaModels,
probeAtomicChatReadiness,
probeOllamaGenerationReadiness,
type AtomicChatReadiness,
type OllamaGenerationReadiness,
} from '../utils/providerDiscovery.js'
import {
rankOllamaModels,
recommendOllamaModel,
} from '../utils/providerRecommendation.js'
import { redactUrlForDisplay } from '../utils/urlRedaction.js'
import { updateSettingsForSource } from '../utils/settings/settings.js'
import {
type OptionWithDescription,
@@ -66,6 +71,7 @@ type Screen =
| 'menu'
| 'select-preset'
| 'select-ollama-model'
| 'select-atomic-chat-model'
| 'codex-oauth'
| 'form'
| 'select-active'
@@ -86,6 +92,16 @@ type OllamaSelectionState =
}
| { state: 'unavailable'; message: string }
type AtomicChatSelectionState =
| { state: 'idle' }
| { state: 'loading' }
| {
state: 'ready'
options: OptionWithDescription<string>[]
defaultValue?: string
}
| { state: 'unavailable'; message: string }
const FORM_STEPS: Array<{
key: DraftField
label: string
@@ -108,8 +124,8 @@ const FORM_STEPS: Array<{
{
key: 'model',
label: 'Default model',
placeholder: 'e.g. llama3.1:8b',
helpText: 'Model name to use when this provider is active.',
placeholder: 'e.g. llama3.1:8b or glm-4.7, glm-4.7-flash',
helpText: 'Model name(s) to use. Separate multiple with commas; first is default.',
},
{
key: 'apiKey',
@@ -153,7 +169,12 @@ function profileSummary(profile: ProviderProfile, isActive: boolean): string {
const keyInfo = profile.apiKey ? 'key set' : 'no key'
const providerKind =
profile.provider === 'anthropic' ? 'anthropic' : 'openai-compatible'
return `${providerKind} · ${profile.baseUrl} · ${profile.model} · ${keyInfo}${activeSuffix}`
const models = parseModelList(profile.model)
const modelDisplay =
models.length <= 3
? models.join(', ')
: `${models[0]}, ${models[1]} + ${models.length - 2} more`
return `${providerKind} · ${profile.baseUrl} · ${modelDisplay} · ${keyInfo}${activeSuffix}`
}
function getGithubCredentialSourceFromEnv(
@@ -214,6 +235,44 @@ function getGithubProviderSummary(
return `github-models · ${GITHUB_PROVIDER_DEFAULT_BASE_URL} · ${getGithubProviderModel(processEnv)} · ${credentialSummary}${activeSuffix}`
}
function describeAtomicChatSelectionIssue(
readiness: AtomicChatReadiness,
baseUrl: string,
): string {
if (readiness.state === 'unreachable') {
return `Could not reach Atomic Chat at ${redactUrlForDisplay(baseUrl)}. Start the Atomic Chat app first, or enter the endpoint manually.`
}
if (readiness.state === 'no_models') {
return 'Atomic Chat is running, but no models are loaded. Download and load a model inside the Atomic Chat app first, or enter details manually.'
}
return ''
}
function describeOllamaSelectionIssue(
readiness: OllamaGenerationReadiness,
baseUrl: string,
): string {
if (readiness.state === 'unreachable') {
return `Could not reach Ollama at ${redactUrlForDisplay(baseUrl)}. Start Ollama first, or enter the endpoint manually.`
}
if (readiness.state === 'no_models') {
return 'Ollama is running, but no installed models were found. Pull a chat model such as qwen2.5-coder:7b or llama3.1:8b first, or enter details manually.'
}
if (readiness.state === 'generation_failed') {
const modelHint = readiness.probeModel ?? 'the selected model'
const detailSuffix = readiness.detail
? ` Details: ${readiness.detail}.`
: ''
return `Ollama is reachable and models are installed, but a generation probe failed for ${modelHint}.${detailSuffix} Run "ollama run ${modelHint}" once and retry, or enter details manually.`
}
return ''
}
function findCodexOAuthProfile(
profiles: ProviderProfile[],
profileId?: string,
@@ -320,14 +379,17 @@ function CodexOAuthSetup({
}
export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
const setAppState = useSetAppState()
const initialGithubCredentialSource = getGithubCredentialSourceFromEnv()
const initialIsGithubActive = isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
const initialHasGithubCredential = initialGithubCredentialSource !== 'none'
const [profiles, setProfiles] = React.useState(() => getProviderProfiles())
const [activeProfileId, setActiveProfileId] = React.useState(
() => getActiveProviderProfile()?.id,
)
// Deferred initialization: useState initializers run synchronously during
// render, so getProviderProfiles() and getActiveProviderProfile() would block
// the UI on first mount (sync file I/O). Use empty initial values and load
// asynchronously in useEffect with queueMicrotask to keep UI responsive.
const [profiles, setProfiles] = React.useState<ProviderProfile[]>([])
const [activeProfileId, setActiveProfileId] = React.useState<string | undefined>()
const [githubProviderAvailable, setGithubProviderAvailable] = React.useState(
() => isGithubProviderAvailable(initialGithubCredentialSource),
)
@@ -353,6 +415,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
const [cursorOffset, setCursorOffset] = React.useState(0)
const [statusMessage, setStatusMessage] = React.useState<string | undefined>()
const [errorMessage, setErrorMessage] = React.useState<string | undefined>()
const [menuFocusValue, setMenuFocusValue] = React.useState<string | undefined>()
const [hasStoredCodexOAuthCredentials, setHasStoredCodexOAuthCredentials] =
React.useState(false)
const [storedCodexOAuthProfileId, setStoredCodexOAuthProfileId] =
@@ -360,11 +423,88 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
const [ollamaSelection, setOllamaSelection] = React.useState<OllamaSelectionState>({
state: 'idle',
})
const [atomicChatSelection, setAtomicChatSelection] =
React.useState<AtomicChatSelectionState>({ state: 'idle' })
// Deferred initialization: useState initializers run synchronously during
// render, so getProviderProfiles() and getActiveProviderProfile() would block
// the UI (sync file I/O). Defer to queueMicrotask after first render.
// In test environment, skip defer to avoid timing issues with mocks.
const [isInitializing, setIsInitializing] = React.useState(
process.env.NODE_ENV !== 'test',
)
const [isActivating, setIsActivating] = React.useState(false)
const isRefreshingRef = React.useRef(false)
React.useEffect(() => {
// Skip deferred initialization in test environment (mocks are synchronous)
if (process.env.NODE_ENV === 'test') {
setProfiles(getProviderProfiles())
setActiveProfileId(getActiveProviderProfile()?.id)
setIsInitializing(false)
return
}
queueMicrotask(() => {
const profilesData = getProviderProfiles()
const activeId = getActiveProviderProfile()?.id
setProfiles(profilesData)
setActiveProfileId(activeId)
setIsInitializing(false)
})
}, [])
const currentStep = FORM_STEPS[formStepIndex] ?? FORM_STEPS[0]
const currentStepKey = currentStep.key
const currentValue = draft[currentStepKey]
// Memoize menu options to prevent unnecessary re-renders when navigating
// the select menu. Without this, each arrow key press creates a new options
// array reference, causing Select to re-render and feel sluggish.
const hasProfiles = profiles.length > 0
const hasSelectableProviders = hasProfiles || githubProviderAvailable
const menuOptions = React.useMemo(
() => [
{
value: 'add',
label: 'Add provider',
description: 'Create a new provider profile',
},
{
value: 'activate',
label: 'Set active provider',
description: 'Switch the active provider profile',
disabled: !hasSelectableProviders,
},
{
value: 'edit',
label: 'Edit provider',
description: 'Update URL, model, or key',
disabled: !hasProfiles,
},
{
value: 'delete',
label: 'Delete provider',
description: 'Remove a provider profile',
disabled: !hasSelectableProviders,
},
...(hasStoredCodexOAuthCredentials
? [
{
value: 'logout-codex-oauth',
label: 'Log out Codex OAuth',
description: 'Clear securely stored Codex OAuth credentials',
},
]
: []),
{
value: 'done',
label: 'Done',
description: 'Return to chat',
},
],
[hasSelectableProviders, hasProfiles, hasStoredCodexOAuthCredentials],
)
const refreshGithubProviderState = React.useCallback((): void => {
const envCredentialSource = getGithubCredentialSourceFromEnv()
const githubActive = isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
@@ -440,32 +580,21 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
setOllamaSelection({ state: 'loading' })
void (async () => {
const available = await hasLocalOllama(draft.baseUrl)
if (!available) {
const readiness = await probeOllamaGenerationReadiness({
baseUrl: draft.baseUrl,
})
if (readiness.state !== 'ready') {
if (!cancelled) {
setOllamaSelection({
state: 'unavailable',
message:
'Could not reach Ollama. Start Ollama first, or enter the endpoint manually.',
message: describeOllamaSelectionIssue(readiness, draft.baseUrl),
})
}
return
}
const models = await listOllamaModels(draft.baseUrl)
if (models.length === 0) {
if (!cancelled) {
setOllamaSelection({
state: 'unavailable',
message:
'Ollama is running, but no installed models were found. Pull a chat model such as qwen2.5-coder:7b or llama3.1:8b first, or enter details manually.',
})
}
return
}
const ranked = rankOllamaModels(models, 'balanced')
const recommended = recommendOllamaModel(models, 'balanced')
const ranked = rankOllamaModels(readiness.models, 'balanced')
const recommended = recommendOllamaModel(readiness.models, 'balanced')
if (!cancelled) {
setOllamaSelection({
state: 'ready',
@@ -484,12 +613,61 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
}
}, [draft.baseUrl, screen])
React.useEffect(() => {
if (screen !== 'select-atomic-chat-model') {
return
}
let cancelled = false
setAtomicChatSelection({ state: 'loading' })
void (async () => {
const readiness = await probeAtomicChatReadiness({
baseUrl: draft.baseUrl,
})
if (readiness.state !== 'ready') {
if (!cancelled) {
setAtomicChatSelection({
state: 'unavailable',
message: describeAtomicChatSelectionIssue(readiness, draft.baseUrl),
})
}
return
}
if (!cancelled) {
setAtomicChatSelection({
state: 'ready',
defaultValue: readiness.models[0],
options: readiness.models.map(model => ({
label: model,
value: model,
})),
})
}
})()
return () => {
cancelled = true
}
}, [draft.baseUrl, screen])
function refreshProfiles(): void {
// Defer sync I/O to next microtask to prevent UI freeze.
// getProviderProfiles() and getActiveProviderProfile() read config files
// synchronously, which can block the main thread on Windows (antivirus, disk cache).
// queueMicrotask ensures the current render completes first.
if (isRefreshingRef.current) return
isRefreshingRef.current = true
queueMicrotask(() => {
const nextProfiles = getProviderProfiles()
setProfiles(nextProfiles)
setActiveProfileId(getActiveProviderProfile()?.id)
refreshGithubProviderState()
refreshCodexOAuthCredentialState()
isRefreshingRef.current = false
})
}
function clearStartupProviderOverrideFromUserSettings(): string | null {
@@ -562,30 +740,68 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
async function activateSelectedProvider(profileId: string): Promise<void> {
let providerLabel = 'provider'
// Set loading state before sync I/O to keep UI responsive
setIsActivating(true)
setStatusMessage('Activating provider...')
try {
// Defer sync I/O to next microtask - UI renders loading state first.
// setActiveProviderProfile(), activateGithubProvider(), and
// clearStartupProviderOverrideFromUserSettings() all perform sync file writes
// (saveGlobalConfig, saveProfileFile, updateSettingsForSource) which can
// block the main thread on Windows (antivirus, disk cache, NTFS metadata).
await new Promise<void>(resolve => queueMicrotask(resolve))
if (profileId === GITHUB_PROVIDER_ID) {
providerLabel = GITHUB_PROVIDER_LABEL
const githubError = activateGithubProvider()
if (githubError) {
setErrorMessage(`Could not activate GitHub provider: ${githubError}`)
setScreen('menu')
setIsActivating(false)
returnToMenu()
return
}
setAppState(prev => ({
...prev,
mainLoopModel: GITHUB_PROVIDER_DEFAULT_MODEL,
mainLoopModelForSession: null,
}))
refreshProfiles()
setAppState(prev => ({
...prev,
mainLoopModel: GITHUB_PROVIDER_DEFAULT_MODEL,
}))
setStatusMessage(`Active provider: ${GITHUB_PROVIDER_LABEL}`)
setScreen('menu')
setIsActivating(false)
returnToMenu()
return
}
const active = setActiveProviderProfile(profileId)
if (!active) {
setErrorMessage('Could not change active provider.')
setScreen('menu')
setIsActivating(false)
returnToMenu()
return
}
// Update the session model to the new provider's first model.
// persistActiveProviderProfileModel (called by onChangeAppState) will
// not overwrite the multi-model list because it checks if the model
// is already in the profile's comma-separated model list.
const newModel = getPrimaryModel(active.model)
setAppState(prev => ({
...prev,
mainLoopModel: newModel,
}))
providerLabel = active.name
setAppState(prev => ({
...prev,
mainLoopModel: active.model,
mainLoopModelForSession: null,
}))
const settingsOverrideError =
clearStartupProviderOverrideFromUserSettings()
const isActiveCodexOAuth = isCodexOAuthProfile(
@@ -613,16 +829,23 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
? `Active provider: ${active.name}. Warning: could not clear startup provider override (${settingsOverrideError}).`
: `Active provider: ${active.name}`,
)
setScreen('menu')
setIsActivating(false)
returnToMenu()
} catch (error) {
refreshProfiles()
setStatusMessage(undefined)
setIsActivating(false)
const detail = error instanceof Error ? error.message : String(error)
setErrorMessage(`Could not finish activating ${providerLabel}: ${detail}`)
setScreen('menu')
returnToMenu()
}
}
function returnToMenu(): void {
setMenuFocusValue('done')
setScreen('menu')
}
function closeWithCancelled(message: string): void {
onDone({ action: 'cancelled', message })
}
@@ -735,6 +958,12 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
return
}
if (preset === 'atomic-chat') {
setAtomicChatSelection({ state: 'loading' })
setScreen('select-atomic-chat-model')
return
}
setScreen('form')
}
@@ -773,6 +1002,13 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
}
const isActiveSavedProfile = getActiveProviderProfile()?.id === saved.id
if (isActiveSavedProfile) {
setAppState(prev => ({
...prev,
mainLoopModel: saved.model,
mainLoopModelForSession: null,
}))
}
const settingsOverrideError = isActiveSavedProfile
? clearStartupProviderOverrideFromUserSettings()
: null
@@ -800,7 +1036,87 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
setEditingProfileId(null)
setFormStepIndex(0)
setErrorMessage(undefined)
setScreen('menu')
returnToMenu()
}
function renderAtomicChatSelection(): React.ReactNode {
if (
atomicChatSelection.state === 'loading' ||
atomicChatSelection.state === 'idle'
) {
return (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>
Checking Atomic Chat
</Text>
<Text dimColor>Looking for loaded Atomic Chat models...</Text>
</Box>
)
}
if (atomicChatSelection.state === 'unavailable') {
return (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>
Atomic Chat setup
</Text>
<Text dimColor>{atomicChatSelection.message}</Text>
<Select
options={[
{
value: 'manual',
label: 'Enter manually',
description: 'Fill in the base URL and model yourself',
},
{
value: 'back',
label: 'Back',
description: 'Choose another provider preset',
},
]}
onChange={(value: string) => {
if (value === 'manual') {
setFormStepIndex(0)
setCursorOffset(draft.name.length)
setScreen('form')
return
}
setScreen('select-preset')
}}
onCancel={() => setScreen('select-preset')}
visibleOptionCount={2}
/>
</Box>
)
}
return (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>
Choose an Atomic Chat model
</Text>
<Text dimColor>
Pick one of the models loaded in Atomic Chat to save into a local
provider profile.
</Text>
<Select
options={atomicChatSelection.options}
defaultValue={atomicChatSelection.defaultValue}
defaultFocusValue={atomicChatSelection.defaultValue}
inlineDescriptions
visibleOptionCount={Math.min(8, atomicChatSelection.options.length)}
onChange={(value: string) => {
const nextDraft = {
...draft,
model: value,
}
setDraft(nextDraft)
persistDraft(nextDraft)
}}
onCancel={() => setScreen('select-preset')}
/>
</Box>
)
}
function renderOllamaSelection(): React.ReactNode {
@@ -923,7 +1239,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
return
}
setScreen('menu')
returnToMenu()
}
useKeybinding('confirm:no', handleBackFromForm, {
@@ -933,21 +1249,35 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
function renderPresetSelection(): React.ReactNode {
const canUseCodexOAuth = !isBareMode()
// Providers sorted alphabetically by label. `Custom` is pinned to the end
// because it's the catch-all / escape hatch — users scanning the list
// should always find known providers first. `Skip for now` (first-run
// only) comes last, after Custom.
const options = [
{
value: 'dashscope-intl',
label: 'Alibaba Coding Plan',
description: 'Alibaba DashScope International endpoint',
},
{
value: 'dashscope-cn',
label: 'Alibaba Coding Plan (China)',
description: 'Alibaba DashScope China endpoint',
},
{
value: 'anthropic',
label: 'Anthropic',
description: 'Native Claude API (x-api-key auth)',
},
{
value: 'ollama',
label: 'Ollama',
description: 'Local or remote Ollama endpoint',
value: 'atomic-chat',
label: 'Atomic Chat',
description: 'Local Model Provider',
},
{
value: 'openai',
label: 'OpenAI',
description: 'OpenAI API with API key',
value: 'azure-openai',
label: 'Azure OpenAI',
description: 'Azure OpenAI endpoint (model=deployment name)',
},
...(canUseCodexOAuth
? [
@@ -959,11 +1289,6 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
},
]
: []),
{
value: 'moonshotai',
label: 'Moonshot AI',
description: 'Kimi OpenAI-compatible endpoint',
},
{
value: 'deepseek',
label: 'DeepSeek',
@@ -974,25 +1299,45 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
label: 'Google Gemini',
description: 'Gemini OpenAI-compatible endpoint',
},
{
value: 'together',
label: 'Together AI',
description: 'Together chat/completions endpoint',
},
{
value: 'groq',
label: 'Groq',
description: 'Groq OpenAI-compatible endpoint',
},
{
value: 'lmstudio',
label: 'LM Studio',
description: 'Local LM Studio endpoint',
},
{
value: 'minimax',
label: 'MiniMax',
description: 'MiniMax API endpoint',
},
{
value: 'mistral',
label: 'Mistral',
description: 'Mistral OpenAI-compatible endpoint',
},
{
value: 'azure-openai',
label: 'Azure OpenAI',
description: 'Azure OpenAI endpoint (model=deployment name)',
value: 'moonshotai',
label: 'Moonshot AI',
description: 'Kimi OpenAI-compatible endpoint',
},
{
value: 'nvidia-nim',
label: 'NVIDIA NIM',
description: 'NVIDIA NIM endpoint',
},
{
value: 'ollama',
label: 'Ollama',
description: 'Local or remote Ollama endpoint',
},
{
value: 'openai',
label: 'OpenAI',
description: 'OpenAI API with API key',
},
{
value: 'openrouter',
@@ -1000,9 +1345,9 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
description: 'OpenRouter OpenAI-compatible endpoint',
},
{
value: 'lmstudio',
label: 'LM Studio',
description: 'Local LM Studio endpoint',
value: 'together',
label: 'Together AI',
description: 'Together chat/completions endpoint',
},
{
value: 'custom',
@@ -1046,7 +1391,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
closeWithCancelled('Provider setup skipped')
return
}
setScreen('menu')
returnToMenu()
}}
visibleOptionCount={Math.min(13, options.length)}
/>
@@ -1084,6 +1429,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
focus={true}
showCursor={true}
placeholder={`${currentStep.placeholder}${figures.ellipsis}`}
mask={currentStepKey === 'apiKey' ? '*' : undefined}
columns={80}
cursorOffset={cursorOffset}
onChangeCursorOffset={setCursorOffset}
@@ -1098,49 +1444,10 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
}
function renderMenu(): React.ReactNode {
// Use memoized menuOptions from component scope
const hasProfiles = profiles.length > 0
const hasSelectableProviders = hasProfiles || githubProviderAvailable
const options = [
{
value: 'add',
label: 'Add provider',
description: 'Create a new provider profile',
},
{
value: 'activate',
label: 'Set active provider',
description: 'Switch the active provider profile',
disabled: !hasSelectableProviders,
},
{
value: 'edit',
label: 'Edit provider',
description: 'Update URL, model, or key',
disabled: !hasProfiles,
},
{
value: 'delete',
label: 'Delete provider',
description: 'Remove a provider profile',
disabled: !hasSelectableProviders,
},
...(hasStoredCodexOAuthCredentials
? [
{
value: 'logout-codex-oauth',
label: 'Log out Codex OAuth',
description: 'Clear securely stored Codex OAuth credentials',
},
]
: []),
{
value: 'done',
label: 'Done',
description: 'Return to chat',
},
]
return (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>
@@ -1177,7 +1484,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
)}
</Box>
<Select
options={options}
options={menuOptions}
onChange={(value: string) => {
setErrorMessage(undefined)
switch (value) {
@@ -1190,7 +1497,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
}
break
case 'edit':
if (profiles.length > 0) {
if (hasProfiles) {
setScreen('select-edit')
}
break
@@ -1246,7 +1553,8 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
}
}}
onCancel={() => closeWithCancelled('Provider manager closed')}
visibleOptionCount={options.length}
defaultFocusValue={menuFocusValue}
visibleOptionCount={menuOptions.length}
/>
</Box>
)
@@ -1293,8 +1601,8 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
description: 'Return to provider manager',
},
]}
onChange={() => setScreen('menu')}
onCancel={() => setScreen('menu')}
onChange={() => returnToMenu()}
onCancel={() => returnToMenu()}
visibleOptionCount={1}
/>
</Box>
@@ -1309,7 +1617,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
<Select
options={selectOptions}
onChange={onSelect}
onCancel={() => setScreen('menu')}
onCancel={() => returnToMenu()}
visibleOptionCount={Math.min(10, Math.max(2, selectOptions.length))}
/>
</Box>
@@ -1325,6 +1633,9 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
case 'select-ollama-model':
content = renderOllamaSelection()
break
case 'select-atomic-chat-model':
content = renderAtomicChatSelection()
break
case 'codex-oauth':
content = (
<CodexOAuthSetup
@@ -1350,7 +1661,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
setErrorMessage(
'Codex OAuth login finished, but the provider profile could not be saved.',
)
setScreen('menu')
returnToMenu()
return
}
@@ -1362,7 +1673,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
setErrorMessage(
'Codex OAuth login finished, but the provider could not be set as the startup provider.',
)
setScreen('menu')
returnToMenu()
return
}
@@ -1396,7 +1707,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
setStatusMessage(message)
setErrorMessage(undefined)
setScreen('menu')
returnToMenu()
}}
/>
)
@@ -1436,7 +1747,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
refreshProfiles()
setStatusMessage('GitHub provider deleted')
}
setScreen('menu')
returnToMenu()
return
}
@@ -1471,7 +1782,7 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
: 'Provider deleted',
)
}
setScreen('menu')
returnToMenu()
},
{ includeGithub: true },
)
@@ -1482,5 +1793,21 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
break
}
return <Pane color="permission">{content}</Pane>
return (
<Pane color="permission">
{isInitializing ? (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>Loading providers...</Text>
<Text dimColor>Reading provider profiles from disk.</Text>
</Box>
) : isActivating ? (
<Box flexDirection="column" gap={1}>
<Text color="remember" bold>Activating provider...</Text>
<Text dimColor>Please wait while the provider is being configured.</Text>
</Box>
) : (
content
)}
</Pane>
)
}

View File

@@ -281,6 +281,24 @@ export function Config({
enabled: autoCompactEnabled
});
}
}, {
id: 'toolHistoryCompressionEnabled',
label: 'Tool history compression',
value: globalConfig.toolHistoryCompressionEnabled,
type: 'boolean' as const,
onChange(toolHistoryCompressionEnabled: boolean) {
saveGlobalConfig(current => ({
...current,
toolHistoryCompressionEnabled
}));
setGlobalConfig({
...getGlobalConfig(),
toolHistoryCompressionEnabled
});
logEvent('tengu_tool_history_compression_setting_changed', {
enabled: toolHistoryCompressionEnabled
});
}
}, {
id: 'spinnerTipsEnabled',
label: 'Show tips',
@@ -1158,6 +1176,9 @@ export function Config({
if (globalConfig.autoCompactEnabled !== initialConfig.current.autoCompactEnabled) {
formattedChanges.push(`${globalConfig.autoCompactEnabled ? 'Enabled' : 'Disabled'} auto-compact`);
}
if (globalConfig.toolHistoryCompressionEnabled !== initialConfig.current.toolHistoryCompressionEnabled) {
formattedChanges.push(`${globalConfig.toolHistoryCompressionEnabled ? 'Enabled' : 'Disabled'} tool history compression`);
}
if (globalConfig.respectGitignore !== initialConfig.current.respectGitignore) {
formattedChanges.push(`${globalConfig.respectGitignore ? 'Enabled' : 'Disabled'} respect .gitignore in file picker`);
}

View File

@@ -0,0 +1,158 @@
import { afterEach, beforeEach, describe, expect, test } from 'bun:test'
import { detectProvider } from './StartupScreen.js'
const ENV_KEYS = [
'CLAUDE_CODE_USE_OPENAI',
'CLAUDE_CODE_USE_GEMINI',
'CLAUDE_CODE_USE_GITHUB',
'CLAUDE_CODE_USE_BEDROCK',
'CLAUDE_CODE_USE_VERTEX',
'CLAUDE_CODE_USE_MISTRAL',
'OPENAI_BASE_URL',
'OPENAI_API_KEY',
'OPENAI_MODEL',
'GEMINI_MODEL',
'MISTRAL_MODEL',
'ANTHROPIC_MODEL',
'NVIDIA_NIM',
'MINIMAX_API_KEY',
]
const originalEnv: Record<string, string | undefined> = {}
beforeEach(() => {
for (const key of ENV_KEYS) {
originalEnv[key] = process.env[key]
delete process.env[key]
}
})
afterEach(() => {
for (const key of ENV_KEYS) {
if (originalEnv[key] === undefined) {
delete process.env[key]
} else {
process.env[key] = originalEnv[key]
}
}
})
function setupOpenAIMode(baseUrl: string, model: string): void {
process.env.CLAUDE_CODE_USE_OPENAI = '1'
process.env.OPENAI_BASE_URL = baseUrl
process.env.OPENAI_MODEL = model
process.env.OPENAI_API_KEY = 'test-key'
}
// --- Issue #855: aggregator URL must win over vendor-prefixed model name ---
describe('detectProvider — aggregator URL authoritative over model-name substring (#855)', () => {
test('OpenRouter + deepseek/deepseek-chat labels as OpenRouter', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'deepseek/deepseek-chat')
expect(detectProvider().name).toBe('OpenRouter')
})
test('OpenRouter + moonshotai/kimi-k2 labels as OpenRouter', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'moonshotai/kimi-k2')
expect(detectProvider().name).toBe('OpenRouter')
})
test('OpenRouter + mistralai/mistral-large labels as OpenRouter', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'mistralai/mistral-large')
expect(detectProvider().name).toBe('OpenRouter')
})
test('OpenRouter + meta-llama/llama-3.3 labels as OpenRouter', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'meta-llama/llama-3.3-70b-instruct')
expect(detectProvider().name).toBe('OpenRouter')
})
test('Together + deepseek-ai/DeepSeek-V3 labels as Together AI', () => {
setupOpenAIMode('https://api.together.xyz/v1', 'deepseek-ai/DeepSeek-V3')
expect(detectProvider().name).toBe('Together AI')
})
test('Together + meta-llama/Llama-3.3 labels as Together AI', () => {
setupOpenAIMode('https://api.together.xyz/v1', 'meta-llama/Llama-3.3-70B-Instruct-Turbo')
expect(detectProvider().name).toBe('Together AI')
})
test('Groq + deepseek-r1-distill-llama-70b labels as Groq', () => {
setupOpenAIMode('https://api.groq.com/openai/v1', 'deepseek-r1-distill-llama-70b')
expect(detectProvider().name).toBe('Groq')
})
test('Groq + llama-3.3-70b-versatile labels as Groq', () => {
setupOpenAIMode('https://api.groq.com/openai/v1', 'llama-3.3-70b-versatile')
expect(detectProvider().name).toBe('Groq')
})
test('Azure + any deepseek deployment labels as Azure OpenAI', () => {
setupOpenAIMode('https://my-resource.openai.azure.com/', 'deepseek-chat')
expect(detectProvider().name).toBe('Azure OpenAI')
})
})
// --- Direct vendor endpoints still label correctly (regression) ---
describe('detectProvider — direct vendor endpoints', () => {
test('api.deepseek.com labels as DeepSeek', () => {
setupOpenAIMode('https://api.deepseek.com/v1', 'deepseek-chat')
expect(detectProvider().name).toBe('DeepSeek')
})
test('api.moonshot.cn labels as Moonshot (Kimi)', () => {
setupOpenAIMode('https://api.moonshot.cn/v1', 'moonshot-v1-8k')
expect(detectProvider().name).toBe('Moonshot (Kimi)')
})
test('api.mistral.ai labels as Mistral', () => {
setupOpenAIMode('https://api.mistral.ai/v1', 'mistral-large-latest')
expect(detectProvider().name).toBe('Mistral')
})
test('default OpenAI URL + gpt-4o labels as OpenAI', () => {
setupOpenAIMode('https://api.openai.com/v1', 'gpt-4o')
expect(detectProvider().name).toBe('OpenAI')
})
})
// --- rawModel fallback for generic/custom endpoints ---
describe('detectProvider — rawModel fallback when URL is generic', () => {
test('custom proxy + deepseek-chat falls back to DeepSeek', () => {
setupOpenAIMode('https://my-proxy.internal/v1', 'deepseek-chat')
expect(detectProvider().name).toBe('DeepSeek')
})
test('custom proxy + kimi-k2 falls back to Moonshot (Kimi)', () => {
setupOpenAIMode('https://my-proxy.internal/v1', 'kimi-k2-instruct')
expect(detectProvider().name).toBe('Moonshot (Kimi)')
})
test('custom proxy + llama-3.3 falls back to Meta Llama', () => {
setupOpenAIMode('https://my-proxy.internal/v1', 'llama-3.3-70b')
expect(detectProvider().name).toBe('Meta Llama')
})
test('custom proxy + mistral-large falls back to Mistral', () => {
setupOpenAIMode('https://my-proxy.internal/v1', 'mistral-large-latest')
expect(detectProvider().name).toBe('Mistral')
})
})
// --- Explicit env flags win over URL heuristics ---
describe('detectProvider — explicit dedicated-provider env flags', () => {
test('NVIDIA_NIM=1 overrides aggregator URL', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'some-nim-model')
process.env.NVIDIA_NIM = '1'
expect(detectProvider().name).toBe('NVIDIA NIM')
})
test('MINIMAX_API_KEY overrides aggregator URL', () => {
setupOpenAIMode('https://openrouter.ai/api/v1', 'any-model')
process.env.MINIMAX_API_KEY = 'test-key'
expect(detectProvider().name).toBe('MiniMax')
})
})

View File

@@ -83,7 +83,7 @@ const LOGO_CLAUDE = [
// ─── Provider detection ───────────────────────────────────────────────────────
function detectProvider(): { name: string; model: string; baseUrl: string; isLocal: boolean } {
export function detectProvider(): { name: string; model: string; baseUrl: string; isLocal: boolean } {
const useGemini = process.env.CLAUDE_CODE_USE_GEMINI === '1' || process.env.CLAUDE_CODE_USE_GEMINI === 'true'
const useGithub = process.env.CLAUDE_CODE_USE_GITHUB === '1' || process.env.CLAUDE_CODE_USE_GITHUB === 'true'
const useOpenAI = process.env.CLAUDE_CODE_USE_OPENAI === '1' || process.env.CLAUDE_CODE_USE_OPENAI === 'true'
@@ -117,15 +117,32 @@ function detectProvider(): { name: string; model: string; baseUrl: string; isLoc
const baseUrl = resolvedRequest.baseUrl
const isLocal = isLocalProviderUrl(baseUrl)
let name = 'OpenAI'
// Override to Codex when resolved endpoint is Codex
if (resolvedRequest.transport === 'codex_responses' || baseUrl.includes('chatgpt.com/backend-api/codex')) {
// Explicit dedicated-provider env flags win.
if (process.env.NVIDIA_NIM) name = 'NVIDIA NIM'
else if (process.env.MINIMAX_API_KEY) name = 'MiniMax'
else if (
resolvedRequest.transport === 'codex_responses' ||
baseUrl.includes('chatgpt.com/backend-api/codex')
)
name = 'Codex'
} else if (/deepseek/i.test(baseUrl) || /deepseek/i.test(rawModel)) name = 'DeepSeek'
// Base URL is authoritative — must precede rawModel checks so aggregators
// (OpenRouter/Together/Groq) aren't mislabelled as DeepSeek/Kimi/etc.
// when routed to models whose IDs contain a vendor prefix. See issue #855.
else if (/openrouter/i.test(baseUrl)) name = 'OpenRouter'
else if (/together/i.test(baseUrl)) name = 'Together AI'
else if (/groq/i.test(baseUrl)) name = 'Groq'
else if (/mistral/i.test(baseUrl) || /mistral/i.test(rawModel)) name = 'Mistral'
else if (/azure/i.test(baseUrl)) name = 'Azure OpenAI'
else if (/nvidia/i.test(baseUrl)) name = 'NVIDIA NIM'
else if (/minimax/i.test(baseUrl)) name = 'MiniMax'
else if (/moonshot/i.test(baseUrl)) name = 'Moonshot (Kimi)'
else if (/deepseek/i.test(baseUrl)) name = 'DeepSeek'
else if (/mistral/i.test(baseUrl)) name = 'Mistral'
// rawModel fallback — fires only when base URL is generic/custom.
else if (/nvidia/i.test(rawModel)) name = 'NVIDIA NIM'
else if (/minimax/i.test(rawModel)) name = 'MiniMax'
else if (/kimi/i.test(rawModel)) name = 'Moonshot (Kimi)'
else if (/deepseek/i.test(rawModel)) name = 'DeepSeek'
else if (/mistral/i.test(rawModel)) name = 'Mistral'
else if (/llama/i.test(rawModel)) name = 'Meta Llama'
else if (isLocal) name = getLocalOpenAICompatibleProviderLabel(baseUrl)
@@ -142,7 +159,9 @@ function detectProvider(): { name: string; model: string; baseUrl: string; isLoc
const settings = getSettings_DEPRECATED() || {}
const modelSetting = settings.model || process.env.ANTHROPIC_MODEL || process.env.CLAUDE_MODEL || 'claude-sonnet-4-6'
const resolvedModel = parseUserSpecifiedModel(modelSetting)
return { name: 'Anthropic', model: resolvedModel, baseUrl: 'https://api.anthropic.com', isLocal: false }
const baseUrl = process.env.ANTHROPIC_BASE_URL ?? 'https://api.anthropic.com'
const isLocal = isLocalProviderUrl(baseUrl)
return { name: 'Anthropic', model: resolvedModel, baseUrl, isLocal }
}
// ─── Box drawing ──────────────────────────────────────────────────────────────

View File

@@ -6,6 +6,7 @@ import stripAnsi from 'strip-ansi'
import { createRoot } from '../ink.js'
import { AppStateProvider } from '../state/AppState.js'
import { maskTextWithVisibleEdges } from '../utils/Cursor.js'
import TextInput from './TextInput.js'
import VimTextInput from './VimTextInput.js'
@@ -199,6 +200,13 @@ test('TextInput renders typed characters before delayed parent value commits', a
expect(output).not.toContain('Type here...')
})
test('maskTextWithVisibleEdges preserves only the first and last three chars', () => {
expect(maskTextWithVisibleEdges('sk-secret-12345678', '*')).toBe(
'sk-************678',
)
expect(maskTextWithVisibleEdges('abcdef', '*')).toBe('******')
})
test('VimTextInput preserves rapid typed characters before delayed parent value commits', async () => {
const { stdout, stdin, getOutput } = createTestStreams()
const root = await createRoot({

View File

@@ -53,17 +53,20 @@ describe('getProjectMemoryPathForSelector', () => {
})
test('defaults to a new AGENTS.md in the current cwd when no project file is loaded', () => {
expect(getProjectMemoryPathForSelector([], '/repo/packages/app')).toBe(
'/repo/packages/app/AGENTS.md',
const cwd = join('/repo', 'packages', 'app')
expect(getProjectMemoryPathForSelector([], cwd)).toBe(
join(cwd, 'AGENTS.md'),
)
})
test('ignores loaded project instruction files outside the current cwd ancestry', () => {
const outsideRepoPath = join('/other-worktree', 'AGENTS.md')
const cwd = join('/repo', 'packages', 'app')
expect(
getProjectMemoryPathForSelector(
[projectFile('/other-worktree/AGENTS.md')],
'/repo/packages/app',
[projectFile(outsideRepoPath)],
cwd,
),
).toBe('/repo/packages/app/AGENTS.md')
).toBe(join(cwd, 'AGENTS.md'))
})
})

View File

@@ -1,5 +1,16 @@
import { afterEach, expect, test } from 'bun:test'
// MACRO is replaced at build time by Bun.define but not in test mode.
// Define it globally so tests that import modules using MACRO don't crash.
;(globalThis as Record<string, unknown>).MACRO = {
VERSION: '99.0.0',
DISPLAY_VERSION: '0.0.0-test',
BUILD_TIME: new Date().toISOString(),
ISSUES_EXPLAINER: 'report the issue at https://github.com/anthropics/claude-code/issues',
PACKAGE_URL: '@gitlawb/openclaude',
NATIVE_PACKAGE_URL: undefined,
}
import { getSystemPrompt, DEFAULT_AGENT_PROMPT } from './prompts.js'
import { CLI_SYSPROMPT_PREFIXES, getCLISyspromptPrefix } from './system.js'
import { CLAUDE_CODE_GUIDE_AGENT } from '../tools/AgentTool/built-in/claudeCodeGuideAgent.js'

View File

@@ -823,6 +823,11 @@ function getFunctionResultClearingSection(model: string): string | null {
return null
}
const config = getCachedMCConfigForFRC()
if (!config) {
// External/stub builds return null from getCachedMCConfig — abort the
// section rather than trying to read .supportedModels off null.
return null
}
const isModelSupported = config.supportedModels?.some(pattern =>
model.includes(pattern),
)

View File

@@ -1,64 +0,0 @@
import { afterEach, describe, expect, test } from 'bun:test'
afterEach(() => {
delete process.env.REPO_MAP
})
describe('getRepoMapContext', () => {
test('returns null when REPO_MAP env flag is off (default)', async () => {
const { getRepoMapContext } = await import('./context.js')
const result = await getRepoMapContext()
expect(result).toBeNull()
})
test('buildRepoMap produces valid output for context injection', async () => {
process.env.REPO_MAP = '1'
const { mkdtempSync, writeFileSync, rmSync } = await import('fs')
const { tmpdir } = await import('os')
const { join } = await import('path')
const { buildRepoMap } = await import('./context/repoMap/index.js')
const tempDir = mkdtempSync(join(tmpdir(), 'repomap-ctx-'))
try {
writeFileSync(
join(tempDir, 'main.ts'),
'export function main(): void { console.log("hello") }\n',
)
writeFileSync(
join(tempDir, 'utils.ts'),
'import { main } from "./main"\nexport function helper(): void { main() }\n',
)
const result = await buildRepoMap({
root: tempDir,
maxTokens: 1024,
})
// Valid map that could be injected
expect(result.map.length).toBeGreaterThan(0)
expect(result.tokenCount).toBeGreaterThan(0)
expect(result.tokenCount).toBeLessThanOrEqual(1024)
expect(typeof result.cacheHit).toBe('boolean')
} finally {
rmSync(tempDir, { recursive: true, force: true })
const { invalidateCache } = await import('./context/repoMap/index.js')
invalidateCache(tempDir)
}
})
test('getSystemContext does not include repoMap key when flag is off', async () => {
const { getSystemContext } = await import('./context.js')
const result = await getSystemContext()
expect('repoMap' in result).toBe(false)
})
test('getSystemContext includes repoMap key when REPO_MAP env flag is on', async () => {
process.env.REPO_MAP = '1'
const { getSystemContext, getRepoMapContext } = await import('./context.js')
getRepoMapContext.cache.clear?.()
getSystemContext.cache.clear?.()
const result = await getSystemContext()
expect(typeof result.repoMap).toBe('string')
expect(result.repoMap!.length).toBeGreaterThan(0)
})
})

View File

@@ -31,7 +31,6 @@ export function setSystemPromptInjection(value: string | null): void {
// Clear context caches immediately when injection changes
getUserContext.cache.clear?.()
getSystemContext.cache.clear?.()
getRepoMapContext.cache.clear?.()
}
export const getGitStatus = memoize(async (): Promise<string | null> => {
@@ -111,35 +110,6 @@ export const getGitStatus = memoize(async (): Promise<string | null> => {
}
})
export const getRepoMapContext = memoize(
async (): Promise<string | null> => {
const runtimeEnabled = isEnvTruthy(process.env.REPO_MAP)
if (!runtimeEnabled) return null
if (isBareMode()) return null
if (isEnvTruthy(process.env.CLAUDE_CODE_REMOTE)) return null
try {
const startTime = Date.now()
logForDiagnosticsNoPII('info', 'repo_map_started')
const { buildRepoMap } = await import('./context/repoMap/index.js')
const result = await buildRepoMap({ maxTokens: 1024 })
logForDiagnosticsNoPII('info', 'repo_map_completed', {
duration_ms: Date.now() - startTime,
token_count: result.tokenCount,
file_count: result.fileCount,
cache_hit: result.cacheHit,
})
if (!result.map || result.map.length === 0) return null
return `This is a structural map of the repository, ranked by importance. Use it to understand the codebase architecture.\n\n${result.map}`
} catch (err) {
logForDiagnosticsNoPII('warn', 'repo_map_failed', {
error: String(err),
})
return null
}
},
)
/**
* This context is prepended to each conversation, and cached for the duration of the conversation.
*/
@@ -157,8 +127,6 @@ export const getSystemContext = memoize(
? null
: await getGitStatus()
const repoMap = await getRepoMapContext()
// Include system prompt injection if set (for cache breaking, internal-only)
const injection = feature('BREAK_CACHE_COMMAND')
? getSystemPromptInjection()
@@ -167,13 +135,11 @@ export const getSystemContext = memoize(
logForDiagnosticsNoPII('info', 'system_context_completed', {
duration_ms: Date.now() - startTime,
has_git_status: gitStatus !== null,
has_repo_map: repoMap !== null,
has_injection: injection !== null,
})
return {
...(gitStatus && { gitStatus }),
...(repoMap && { repoMap }),
...(feature('BREAK_CACHE_COMMAND') && injection
? {
cacheBreaker: `[CACHE_BREAKER: ${injection}]`,

View File

@@ -1,29 +0,0 @@
// fileA — imports from fileB and fileC
import { CacheLayer, buildCache } from './fileB'
import { createStore, type StoreConfig } from './fileC'
export class AppController {
private cache: CacheLayer
private config: StoreConfig
constructor(config: StoreConfig) {
this.cache = buildCache()
this.config = config
}
initialize(): void {
const store = createStore()
this.cache.cacheSet('primary', store)
}
getFromCache(key: string): unknown {
return this.cache.cacheGet(key)
}
}
export function startApp(config: StoreConfig): AppController {
const app = new AppController(config)
app.initialize()
return app
}

View File

@@ -1,23 +0,0 @@
// fileB — imports from fileC
import { DataStore, createStore } from './fileC'
export class CacheLayer {
private store: DataStore
constructor() {
this.store = createStore()
}
cacheGet(key: string): unknown | undefined {
return this.store.lookup(key)
}
cacheSet(key: string, value: unknown): void {
this.store.add(key, value)
}
}
export function buildCache(): CacheLayer {
return new CacheLayer()
}

View File

@@ -1,22 +0,0 @@
// fileC — the most imported module (imported by fileA and fileB)
export class DataStore {
private items: Map<string, unknown> = new Map()
add(key: string, value: unknown): void {
this.items.set(key, value)
}
lookup(key: string): unknown | undefined {
return this.items.get(key)
}
}
export function createStore(): DataStore {
return new DataStore()
}
export interface StoreConfig {
maxSize: number
ttl: number
}

View File

@@ -1,9 +0,0 @@
// fileD — imports from fileA
import { AppController, startApp } from './fileA'
export function runApp(): void {
const controller: AppController = startApp({ maxSize: 100, ttl: 3600 })
const result = controller.getFromCache('test')
console.log(result)
}

View File

@@ -1,25 +0,0 @@
// fileE — isolated, no imports from other fixture files
export interface Logger {
log(message: string): void
warn(message: string): void
error(message: string): void
}
export class ConsoleLogger implements Logger {
log(message: string): void {
console.log(`[LOG] ${message}`)
}
warn(message: string): void {
console.warn(`[WARN] ${message}`)
}
error(message: string): void {
console.error(`[ERROR] ${message}`)
}
}
export function createLogger(): Logger {
return new ConsoleLogger()
}

View File

@@ -1,139 +0,0 @@
import { createHash } from 'crypto'
import {
existsSync,
mkdirSync,
readFileSync,
statSync,
writeFileSync,
} from 'fs'
import { homedir } from 'os'
import { join } from 'path'
import type { CacheData, CacheEntry, CacheStats, Tag } from './types.js'
const CACHE_VERSION = 1
const CACHE_DIR = join(homedir(), '.openclaude', 'repomap-cache')
function getCacheFilePath(root: string): string {
const hash = createHash('sha1').update(root).digest('hex')
return join(CACHE_DIR, `${hash}.json`)
}
function ensureCacheDir(): void {
if (!existsSync(CACHE_DIR)) {
mkdirSync(CACHE_DIR, { recursive: true })
}
}
/** Load cache from disk. Returns empty cache if not found or invalid. */
export function loadCache(root: string): CacheData {
const path = getCacheFilePath(root)
try {
const raw = readFileSync(path, 'utf-8')
const data = JSON.parse(raw) as CacheData
if (data.version !== CACHE_VERSION) {
return { version: CACHE_VERSION, entries: {} }
}
return data
} catch {
return { version: CACHE_VERSION, entries: {} }
}
}
/** Save cache to disk. */
export function saveCache(root: string, cache: CacheData): void {
ensureCacheDir()
const path = getCacheFilePath(root)
writeFileSync(path, JSON.stringify(cache), 'utf-8')
}
/**
* Check if a file's cached entry is still valid based on mtime and size.
* Returns the cached tags if valid, null otherwise.
*/
export function getCachedTags(
cache: CacheData,
filePath: string,
root: string,
): Tag[] | null {
const entry = cache.entries[filePath]
if (!entry) return null
try {
const absolutePath = join(root, filePath)
const stat = statSync(absolutePath)
if (stat.mtimeMs === entry.mtimeMs && stat.size === entry.size) {
return entry.tags
}
} catch {
// File may have been deleted
}
return null
}
/** Update the cache entry for a file. */
export function setCachedTags(
cache: CacheData,
filePath: string,
root: string,
tags: Tag[],
): void {
try {
const absolutePath = join(root, filePath)
const stat = statSync(absolutePath)
cache.entries[filePath] = {
tags,
mtimeMs: stat.mtimeMs,
size: stat.size,
}
} catch {
// If we can't stat, don't cache
}
}
/**
* Compute a hash of the inputs that affect the rendered map.
* Used to cache the final rendered output.
*/
export function computeMapHash(
files: string[],
maxTokens: number,
focusFiles: string[],
): string {
const sorted = [...files].sort()
const input = JSON.stringify({ files: sorted, maxTokens, focusFiles: [...focusFiles].sort() })
return createHash('sha1').update(input).digest('hex')
}
/** Get cache statistics. */
export function getCacheStats(root: string): CacheStats {
const cacheFile = getCacheFilePath(root)
const exists = existsSync(cacheFile)
let entryCount = 0
if (exists) {
try {
const data = JSON.parse(readFileSync(cacheFile, 'utf-8')) as CacheData
entryCount = Object.keys(data.entries).length
} catch {
// corrupted cache
}
}
return {
cacheDir: CACHE_DIR,
cacheFile: exists ? cacheFile : null,
entryCount,
exists,
}
}
/** Delete the cache for a repo root. */
export function invalidateCache(root: string): void {
const path = getCacheFilePath(root)
try {
const { unlinkSync } = require('fs')
unlinkSync(path)
} catch {
// File may not exist
}
}

View File

@@ -1,109 +0,0 @@
import { execFile } from 'child_process'
import { readdirSync } from 'fs'
import { join, relative } from 'path'
import type { SupportedLanguage } from './types.js'
const SUPPORTED_EXTENSIONS: Record<string, SupportedLanguage> = {
'.ts': 'typescript',
'.tsx': 'typescript',
'.js': 'javascript',
'.jsx': 'javascript',
'.mjs': 'javascript',
'.cjs': 'javascript',
'.py': 'python',
}
const EXCLUDED_DIRS = new Set([
'node_modules',
'dist',
'.git',
'.hg',
'.svn',
'build',
'out',
'coverage',
'__pycache__',
'.next',
'.nuxt',
'vendor',
'.worktrees',
])
const EXCLUDED_FILES = new Set([
'bun.lock',
'bun.lockb',
'package-lock.json',
'yarn.lock',
'pnpm-lock.yaml',
])
export function getLanguageForFile(filePath: string): SupportedLanguage | null {
const ext = filePath.substring(filePath.lastIndexOf('.'))
return SUPPORTED_EXTENSIONS[ext] ?? null
}
export function isSupportedFile(filePath: string): boolean {
return getLanguageForFile(filePath) !== null
}
/** List files using git ls-files. Returns relative paths. */
function gitLsFiles(root: string): Promise<string[]> {
return new Promise((resolve, reject) => {
execFile(
'git',
['ls-files', '--cached', '--others', '--exclude-standard'],
{ cwd: root, maxBuffer: 10 * 1024 * 1024 },
(error, stdout) => {
if (error) {
reject(error)
return
}
const files = stdout
.split('\n')
.map(f => f.trim())
.filter(f => f.length > 0)
resolve(files)
},
)
})
}
/** Walk directory tree manually as fallback when git is unavailable. */
function walkDirectory(root: string, currentDir: string = root): string[] {
const results: string[] = []
let entries: ReturnType<typeof readdirSync>
try {
entries = readdirSync(currentDir, { withFileTypes: true })
} catch {
return results
}
for (const entry of entries) {
const name = entry.name
if (entry.isDirectory()) {
if (!EXCLUDED_DIRS.has(name) && !name.startsWith('.')) {
results.push(...walkDirectory(root, join(currentDir, name)))
}
} else if (entry.isFile()) {
if (!EXCLUDED_FILES.has(name)) {
results.push(relative(root, join(currentDir, name)))
}
}
}
return results
}
/**
* Enumerate all supported source files in the repo.
* Tries git ls-files first, falls back to manual walk.
*/
export async function getRepoFiles(root: string): Promise<string[]> {
let files: string[]
try {
files = await gitLsFiles(root)
} catch {
files = walkDirectory(root)
}
return files.filter(isSupportedFile)
}

View File

@@ -1,88 +0,0 @@
import Graph from 'graphology'
import type { FileTags } from './types.js'
// Common identifiers that should contribute less weight (high IDF penalty).
const COMMON_NAMES = new Set([
'map', 'get', 'set', 'value', 'key', 'data', 'result', 'error',
'name', 'type', 'id', 'index', 'item', 'items', 'list', 'options',
'config', 'args', 'params', 'props', 'state', 'event', 'callback',
'handler', 'fn', 'func', 'self', 'this', 'ctx', 'context', 'req',
'res', 'next', 'err', 'msg', 'obj', 'arr', 'str', 'num', 'val',
'init', 'start', 'stop', 'run', 'main', 'test', 'setup', 'teardown',
'constructor', 'toString', 'valueOf', 'length', 'size', 'count',
'push', 'pop', 'shift', 'filter', 'reduce', 'forEach', 'find',
'log', 'warn', 'info', 'debug', 'trace',
])
/**
* Build a directed graph from file tags.
*
* Nodes are file paths. An edge from A to B means file A references
* a symbol defined in file B. Edge weight = refCount * idf(symbolName).
*/
export function buildGraph(allFileTags: FileTags[]): Graph {
const graph = new Graph({ multi: false, type: 'directed' })
// Build a map from symbol name → files that define it
const defIndex = new Map<string, Set<string>>()
for (const ft of allFileTags) {
for (const tag of ft.tags) {
if (tag.kind === 'def') {
let files = defIndex.get(tag.name)
if (!files) {
files = new Set()
defIndex.set(tag.name, files)
}
files.add(ft.path)
}
}
}
// Compute IDF: log(totalFiles / filesDefiningSymbol)
// Common names get an extra penalty
const totalFiles = allFileTags.length
function idf(symbolName: string): number {
const defFiles = defIndex.get(symbolName)
const docFreq = defFiles ? defFiles.size : 1
const rawIdf = Math.log(totalFiles / docFreq)
return COMMON_NAMES.has(symbolName) ? rawIdf * 0.1 : rawIdf
}
// Add all files as nodes
for (const ft of allFileTags) {
if (!graph.hasNode(ft.path)) {
graph.addNode(ft.path)
}
}
// Build edges: for each ref in a file, find where it's defined
for (const ft of allFileTags) {
// Count refs per target file
const edgeWeights = new Map<string, number>()
for (const tag of ft.tags) {
if (tag.kind !== 'ref') continue
const defFiles = defIndex.get(tag.name)
if (!defFiles) continue
const weight = idf(tag.name)
for (const defFile of defFiles) {
if (defFile === ft.path) continue // skip self-references
const current = edgeWeights.get(defFile) ?? 0
edgeWeights.set(defFile, current + weight)
}
}
for (const [target, weight] of edgeWeights) {
if (graph.hasEdge(ft.path, target)) {
graph.setEdgeAttribute(ft.path, target, 'weight',
graph.getEdgeAttribute(ft.path, target, 'weight') + weight)
} else {
graph.addEdge(ft.path, target, { weight })
}
}
}
return graph
}

View File

@@ -1,144 +0,0 @@
import {
computeMapHash,
getCachedTags,
getCacheStats as getCacheStatsImpl,
invalidateCache as invalidateCacheImpl,
loadCache,
saveCache,
setCachedTags,
} from './cache.js'
import { getRepoFiles } from './gitFiles.js'
import { buildGraph } from './graph.js'
import { rankFiles } from './pagerank.js'
import { initParser } from './parser.js'
import { renderMap } from './renderer.js'
import { extractTags } from './symbolExtractor.js'
import type { FileTags, RepoMapOptions, RepoMapResult, CacheStats } from './types.js'
const DEFAULT_MAX_TOKENS = 2048
/**
* Build a structural summary of a code repository.
*
* Walks the repo, extracts symbols via tree-sitter, builds an IDF-weighted
* reference graph, ranks files with PageRank, and renders a token-budgeted
* structural summary.
*/
export async function buildRepoMap(options: RepoMapOptions = {}): Promise<RepoMapResult> {
const startTime = Date.now()
const root = options.root ?? process.cwd()
const maxTokens = options.maxTokens ?? DEFAULT_MAX_TOKENS
const focusFiles = options.focusFiles ?? []
// Initialize tree-sitter
await initParser()
// Get files
const files = options.files ?? await getRepoFiles(root)
const totalFileCount = files.length
// Check if we have a cached rendered map
const mapHash = computeMapHash(files, maxTokens, focusFiles)
const cache = loadCache(root)
// Check if rendered map is cached (stored as a special entry)
const renderedCacheKey = `__rendered__${mapHash}`
const renderedEntry = cache.entries[renderedCacheKey]
if (renderedEntry && renderedEntry.tags.length === 1) {
const cachedResult = renderedEntry.tags[0]!
// The cached "tag" stores the rendered map in the signature field
// and metadata in name/line fields
try {
const meta = JSON.parse(cachedResult.name)
return {
map: cachedResult.signature,
cacheHit: true,
buildTimeMs: Date.now() - startTime,
fileCount: meta.fileCount ?? 0,
totalFileCount,
tokenCount: meta.tokenCount ?? 0,
}
} catch {
// Invalid cached data, continue with full build
}
}
// Extract tags for all files (using per-file cache).
// Separate cached hits from files needing extraction.
const allFileTags: FileTags[] = []
const uncachedFiles: string[] = []
for (const file of files) {
const cachedTags = getCachedTags(cache, file, root)
if (cachedTags) {
allFileTags.push({ path: file, tags: cachedTags })
} else {
uncachedFiles.push(file)
}
}
// Process uncached files in parallel batches
const BATCH_SIZE = 50
for (let i = 0; i < uncachedFiles.length; i += BATCH_SIZE) {
const batch = uncachedFiles.slice(i, i + BATCH_SIZE)
const results = await Promise.all(
batch.map(file => extractTags(file, root).catch(() => null))
)
for (let j = 0; j < results.length; j++) {
const fileTags = results[j]
if (fileTags) {
allFileTags.push(fileTags)
setCachedTags(cache, fileTags.path, root, fileTags.tags)
}
}
}
// Build graph and rank
const graph = buildGraph(allFileTags)
const ranked = rankFiles(graph, focusFiles)
// Build a lookup map
const fileTagsMap = new Map<string, FileTags>()
for (const ft of allFileTags) {
fileTagsMap.set(ft.path, ft)
}
// Render
const { map, tokenCount, fileCount } = renderMap(ranked, fileTagsMap, maxTokens)
// Cache the rendered result
cache.entries[renderedCacheKey] = {
tags: [{
kind: 'def',
name: JSON.stringify({ fileCount, tokenCount }),
line: 0,
signature: map,
}],
mtimeMs: Date.now(),
size: 0,
}
saveCache(root, cache)
return {
map,
cacheHit: false,
buildTimeMs: Date.now() - startTime,
fileCount,
totalFileCount,
tokenCount,
}
}
/** Invalidate the disk cache for a given repo root. */
export function invalidateCache(root?: string): void {
invalidateCacheImpl(root ?? process.cwd())
}
/** Get cache statistics for a given repo root. */
export function getCacheStats(root?: string): CacheStats {
return getCacheStatsImpl(root ?? process.cwd())
}
// Re-export types for convenience
export type { RepoMapOptions, RepoMapResult, CacheStats } from './types.js'

View File

@@ -1,57 +0,0 @@
import type Graph from 'graphology'
import pagerank from 'graphology-pagerank'
export interface RankedFile {
path: string
score: number
}
/**
* Run PageRank on the file reference graph.
*
* focusFiles get a 100x boost in the personalization vector so they
* and their neighbors rank higher.
*
* Returns files sorted by score descending.
*/
export function rankFiles(
graph: Graph,
focusFiles: string[] = [],
): RankedFile[] {
if (graph.order === 0) return []
const hasPersonalization = focusFiles.length > 0
// graphology-pagerank accepts getEdgeWeight option
const scores: Record<string, number> = pagerank(graph, {
alpha: 0.85,
maxIterations: 100,
tolerance: 1e-6,
getEdgeWeight: 'weight',
})
// Apply focus boost post-hoc if focus files are specified
if (hasPersonalization) {
for (const file of focusFiles) {
if (scores[file] !== undefined) {
scores[file] *= 100
}
}
// Also boost direct neighbors of focus files
for (const file of focusFiles) {
if (!graph.hasNode(file)) continue
graph.forEachNeighbor(file, (neighbor) => {
if (scores[neighbor] !== undefined) {
scores[neighbor] *= 10
}
})
}
}
const ranked: RankedFile[] = Object.entries(scores)
.map(([path, score]) => ({ path, score }))
.sort((a, b) => b.score - a.score)
return ranked
}

View File

@@ -1,166 +0,0 @@
import { existsSync, readFileSync } from 'fs'
import { join, resolve } from 'path'
import { fileURLToPath } from 'url'
import type { SupportedLanguage } from './types.js'
// Resolve project root in both source and bundled modes.
// In source (bun test/dev): import.meta.url is src/context/repoMap/parser.ts → go up 4 levels
// In bundle (node dist/cli.mjs): import.meta.url is dist/cli.mjs → go up 2 levels
const __filename = fileURLToPath(import.meta.url)
const __projectRoot = join(
__filename,
process.env.NODE_ENV === 'test' ? '../../../../' : '../../',
)
// web-tree-sitter types
type TreeSitterParser = {
parse(input: string): { rootNode: unknown }
setLanguage(lang: unknown): void
delete(): void
}
type TreeSitterLanguage = {
query(source: string): unknown
}
// The actual module exports { Parser, Language } as named exports
let ParserClass: (new () => TreeSitterParser) & {
init(opts?: { locateFile?: (file: string) => string }): Promise<void>
} | null = null
let LanguageLoader: {
load(path: string | Uint8Array): Promise<TreeSitterLanguage>
} | null = null
let initialized = false
const languageCache = new Map<SupportedLanguage, TreeSitterLanguage>()
const queryCache = new Map<SupportedLanguage, string>()
/** Resolve the path to the tree-sitter WASM file. */
function getTreeSitterWasmPath(): string {
// Try require.resolve first (works in source mode with node_modules)
try {
const webTsDir = resolve(
require.resolve('web-tree-sitter/package.json'),
'..',
)
return join(webTsDir, 'tree-sitter.wasm')
} catch {
// Fallback: relative to project root
return join(__projectRoot, 'node_modules', 'web-tree-sitter', 'tree-sitter.wasm')
}
}
/** Resolve the path to a language WASM grammar file. */
function getLanguageWasmPath(language: SupportedLanguage): string {
const wasmName = language === 'typescript' ? 'tree-sitter-typescript' :
language === 'javascript' ? 'tree-sitter-javascript' :
`tree-sitter-${language}`
try {
const wasmDir = resolve(
require.resolve('tree-sitter-wasms/package.json'),
'..',
'out',
)
return join(wasmDir, `${wasmName}.wasm`)
} catch {
return join(__projectRoot, 'node_modules', 'tree-sitter-wasms', 'out', `${wasmName}.wasm`)
}
}
/** Resolve the path to a tag query .scm file for the given language. */
function getQueryPath(language: SupportedLanguage): string {
// Try source location first (works in both source and when queries are alongside the bundle)
const sourcePath = join(__projectRoot, 'src', 'context', 'repoMap', 'queries', `${language}-tags.scm`)
if (existsSync(sourcePath)) {
return sourcePath
}
// Fallback: relative to this file (source mode)
return join(fileURLToPath(import.meta.url), '..', 'queries', `${language}-tags.scm`)
}
/** Initialize the tree-sitter WASM module. */
export async function initParser(): Promise<void> {
if (initialized) return
try {
const mod = await import('web-tree-sitter')
ParserClass = mod.Parser as typeof ParserClass
LanguageLoader = mod.Language as typeof LanguageLoader
const wasmPath = getTreeSitterWasmPath()
await ParserClass!.init({
locateFile: () => wasmPath,
})
initialized = true
} catch (err) {
// eslint-disable-next-line no-console
console.error('[repoMap] Failed to initialize tree-sitter:', err)
throw err
}
}
/** Load a language grammar. Cached after first load. */
export async function loadLanguage(language: SupportedLanguage): Promise<TreeSitterLanguage | null> {
if (languageCache.has(language)) {
return languageCache.get(language)!
}
if (!initialized) {
await initParser()
}
try {
const wasmPath = getLanguageWasmPath(language)
const lang = await LanguageLoader!.load(wasmPath)
languageCache.set(language, lang)
return lang
} catch (err) {
// eslint-disable-next-line no-console
console.error(`[repoMap] Failed to load ${language} grammar:`, err)
return null
}
}
/** Load the tag query for a language. Cached after first load. */
export function loadQuery(language: SupportedLanguage): string | null {
if (queryCache.has(language)) {
return queryCache.get(language)!
}
try {
const queryPath = getQueryPath(language)
const content = readFileSync(queryPath, 'utf-8')
queryCache.set(language, content)
return content
} catch {
return null
}
}
/** Create a new parser instance with the given language set. */
export async function createParser(language: SupportedLanguage): Promise<TreeSitterParser | null> {
if (!initialized) {
await initParser()
}
const lang = await loadLanguage(language)
if (!lang) return null
try {
const parser = new ParserClass!()
parser.setLanguage(lang)
return parser
} catch {
return null
}
}
/** Clear all caches (useful for testing). */
export function clearParserCaches(): void {
languageCache.clear()
queryCache.clear()
initialized = false
ParserClass = null
LanguageLoader = null
}

View File

@@ -1,92 +0,0 @@
; Source: https://github.com/Aider-AI/aider/blob/main/aider/queries/tree-sitter-languages/javascript-tags.scm
; License: MIT (Apache-2.0 dual) — see https://github.com/Aider-AI/aider/blob/main/LICENSE
; Copied for use in openclaude's repo-map feature.
(
(comment)* @doc
.
(method_definition
name: (property_identifier) @name.definition.method) @definition.method
(#not-eq? @name.definition.method "constructor")
(#strip! @doc "^[\\s\\*/]+|^[\\s\\*/]$")
(#select-adjacent! @doc @definition.method)
)
(
(comment)* @doc
.
[
(class
name: (_) @name.definition.class)
(class_declaration
name: (_) @name.definition.class)
] @definition.class
(#strip! @doc "^[\\s\\*/]+|^[\\s\\*/]$")
(#select-adjacent! @doc @definition.class)
)
(
(comment)* @doc
.
[
(function
name: (identifier) @name.definition.function)
(function_declaration
name: (identifier) @name.definition.function)
(generator_function
name: (identifier) @name.definition.function)
(generator_function_declaration
name: (identifier) @name.definition.function)
] @definition.function
(#strip! @doc "^[\\s\\*/]+|^[\\s\\*/]$")
(#select-adjacent! @doc @definition.function)
)
(
(comment)* @doc
.
(lexical_declaration
(variable_declarator
name: (identifier) @name.definition.function
value: [(arrow_function) (function)]) @definition.function)
(#strip! @doc "^[\\s\\*/]+|^[\\s\\*/]$")
(#select-adjacent! @doc @definition.function)
)
(
(comment)* @doc
.
(variable_declaration
(variable_declarator
name: (identifier) @name.definition.function
value: [(arrow_function) (function)]) @definition.function)
(#strip! @doc "^[\\s\\*/]+|^[\\s\\*/]$")
(#select-adjacent! @doc @definition.function)
)
(assignment_expression
left: [
(identifier) @name.definition.function
(member_expression
property: (property_identifier) @name.definition.function)
]
right: [(arrow_function) (function)]
) @definition.function
(pair
key: (property_identifier) @name.definition.function
value: [(arrow_function) (function)]) @definition.function
(
(call_expression
function: (identifier) @name.reference.call) @reference.call
(#not-match? @name.reference.call "^(require)$")
)
(call_expression
function: (member_expression
property: (property_identifier) @name.reference.call)
arguments: (_) @reference.call)
(new_expression
constructor: (_) @name.reference.class) @reference.class

View File

@@ -1,16 +0,0 @@
; Source: https://github.com/Aider-AI/aider/blob/main/aider/queries/tree-sitter-languages/python-tags.scm
; License: MIT (Apache-2.0 dual) — see https://github.com/Aider-AI/aider/blob/main/LICENSE
; Copied for use in openclaude's repo-map feature.
(class_definition
name: (identifier) @name.definition.class) @definition.class
(function_definition
name: (identifier) @name.definition.function) @definition.function
(call
function: [
(identifier) @name.reference.call
(attribute
attribute: (identifier) @name.reference.call)
]) @reference.call

View File

@@ -1,45 +0,0 @@
; Source: https://github.com/Aider-AI/aider/blob/main/aider/queries/tree-sitter-languages/typescript-tags.scm
; License: MIT (Apache-2.0 dual) — see https://github.com/Aider-AI/aider/blob/main/LICENSE
; Copied for use in openclaude's repo-map feature.
(function_signature
name: (identifier) @name.definition.function) @definition.function
(method_signature
name: (property_identifier) @name.definition.method) @definition.method
(abstract_method_signature
name: (property_identifier) @name.definition.method) @definition.method
(abstract_class_declaration
name: (type_identifier) @name.definition.class) @definition.class
(module
name: (identifier) @name.definition.module) @definition.module
(interface_declaration
name: (type_identifier) @name.definition.interface) @definition.interface
(type_annotation
(type_identifier) @name.reference.type) @reference.type
(new_expression
constructor: (identifier) @name.reference.class) @reference.class
(function_declaration
name: (identifier) @name.definition.function) @definition.function
(method_definition
name: (property_identifier) @name.definition.method) @definition.method
(class_declaration
name: (type_identifier) @name.definition.class) @definition.class
(interface_declaration
name: (type_identifier) @name.definition.class) @definition.class
(type_alias_declaration
name: (type_identifier) @name.definition.type) @definition.type
(enum_declaration
name: (identifier) @name.definition.enum) @definition.enum

View File

@@ -1,72 +0,0 @@
import type { FileTags, Tag } from './types.js'
import type { RankedFile } from './pagerank.js'
import { countTokens } from './tokenize.js'
/**
* Render a token-budgeted repo map from ranked files and their tags.
*
* Format per file:
* path/to/file.ts:
* ⋮
* signature line for def 1
* ⋮
* signature line for def 2
* ⋮
*
* Files that don't fit within the budget are dropped entirely.
*/
export function renderMap(
rankedFiles: RankedFile[],
fileTagsMap: Map<string, FileTags>,
maxTokens: number,
): { map: string; tokenCount: number; fileCount: number } {
const sections: string[] = []
let currentTokens = 0
let fileCount = 0
for (const { path } of rankedFiles) {
const ft = fileTagsMap.get(path)
if (!ft) continue
// Only include definitions in the rendered output
const defs = ft.tags
.filter(t => t.kind === 'def')
.sort((a, b) => a.line - b.line)
if (defs.length === 0) continue
const section = renderFileSection(path, defs)
const sectionTokens = countTokens(section)
// Would this section bust the budget?
if (currentTokens + sectionTokens > maxTokens) {
// Don't include partial files — drop entirely
break
}
sections.push(section)
currentTokens += sectionTokens
fileCount++
}
const map = sections.join('\n')
return { map, tokenCount: currentTokens, fileCount }
}
function renderFileSection(path: string, defs: Tag[]): string {
const lines: string[] = [`${path}:`]
let lastLine = 0
for (const def of defs) {
// Add elision marker if there's a gap
if (def.line > lastLine + 1) {
lines.push('⋮')
}
lines.push(` ${def.signature}`)
lastLine = def.line
}
// Trailing elision marker
lines.push('⋮')
return lines.join('\n')
}

View File

@@ -1,275 +0,0 @@
import { afterEach, beforeAll, describe, expect, test } from 'bun:test'
import { cpSync, mkdtempSync, rmSync, utimesSync, writeFileSync } from 'fs'
import { tmpdir } from 'os'
import { join } from 'path'
import { invalidateCache, buildRepoMap } from './index.js'
import { extractTags } from './symbolExtractor.js'
import { buildGraph } from './graph.js'
import { initParser } from './parser.js'
import { countTokens } from './tokenize.js'
const FIXTURE_ROOT = join(import.meta.dir, '__fixtures__', 'mini-repo')
const FIXTURE_FILES = ['fileA.ts', 'fileB.ts', 'fileC.ts', 'fileD.ts', 'fileE.ts']
beforeAll(async () => {
await initParser()
})
// Clean up cache between tests to avoid cross-test interference
afterEach(() => {
invalidateCache(FIXTURE_ROOT)
})
describe('symbol extraction', () => {
test('extracts function and class defs from a TypeScript file', async () => {
const result = await extractTags('fileC.ts', FIXTURE_ROOT)
expect(result).not.toBeNull()
const defs = result!.tags.filter(t => t.kind === 'def')
const defNames = defs.map(t => t.name)
expect(defNames).toContain('DataStore')
expect(defNames).toContain('createStore')
expect(defNames).toContain('StoreConfig')
// All defs should have kind='def'
for (const d of defs) {
expect(d.kind).toBe('def')
}
})
test('extracts references to imported symbols', async () => {
const result = await extractTags('fileA.ts', FIXTURE_ROOT)
expect(result).not.toBeNull()
const refs = result!.tags.filter(t => t.kind === 'ref')
const refNames = refs.map(t => t.name)
// fileA imports CacheLayer from fileB and StoreConfig from fileC
expect(refNames).toContain('CacheLayer')
expect(refNames).toContain('StoreConfig')
})
})
describe('graph', () => {
test('builds edges between files that reference each other\'s symbols', async () => {
const allTags = []
for (const f of FIXTURE_FILES) {
const tags = await extractTags(f, FIXTURE_ROOT)
if (tags) allTags.push(tags)
}
const graph = buildGraph(allTags)
// fileA imports from fileB (references CacheLayer defined in fileB)
expect(graph.hasEdge('fileA.ts', 'fileB.ts')).toBe(true)
// fileA imports from fileC (references StoreConfig, DataStore defined in fileC)
expect(graph.hasEdge('fileA.ts', 'fileC.ts')).toBe(true)
// fileB imports from fileC (references DataStore defined in fileC)
expect(graph.hasEdge('fileB.ts', 'fileC.ts')).toBe(true)
// fileD imports from fileA
expect(graph.hasEdge('fileD.ts', 'fileA.ts')).toBe(true)
// fileE is isolated — no edges to/from it
expect(graph.degree('fileE.ts')).toBe(0)
})
})
describe('pagerank', () => {
test('ranks the most-imported file highest', async () => {
const result = await buildRepoMap({
root: FIXTURE_ROOT,
maxTokens: 2048,
files: FIXTURE_FILES,
})
// The map starts with the highest-ranked file
const firstFile = result.map.split('\n')[0]
expect(firstFile).toBe('fileC.ts:')
// fileE should be ranked lowest (or near last)
const lines = result.map.split('\n')
const filePositions = FIXTURE_FILES.map(f => {
const idx = lines.findIndex(l => l === `${f}:`)
return { file: f, position: idx }
}).filter(x => x.position >= 0)
.sort((a, b) => a.position - b.position)
// fileC should be first
expect(filePositions[0]!.file).toBe('fileC.ts')
// fileE should be last (or among the last)
const lastFile = filePositions[filePositions.length - 1]!.file
expect(['fileD.ts', 'fileE.ts']).toContain(lastFile)
})
})
describe('renderer', () => {
test('respects the token budget within 5%', async () => {
const maxTokens = 500
const result = await buildRepoMap({
root: FIXTURE_ROOT,
maxTokens,
files: FIXTURE_FILES,
})
const actualTokens = countTokens(result.map)
expect(actualTokens).toBeLessThanOrEqual(maxTokens * 1.05)
expect(result.tokenCount).toBeLessThanOrEqual(maxTokens * 1.05)
})
test('drops files that don\'t fit rather than listing their names', async () => {
// Very tight budget — should only fit 1-2 files
const result = await buildRepoMap({
root: FIXTURE_ROOT,
maxTokens: 100,
files: FIXTURE_FILES,
})
// Count how many files appear as headers in the output
const fileHeaders = result.map.split('\n').filter(l => l.endsWith(':') && !l.startsWith(' '))
// Every file header in the output should have its signatures listed
for (const header of fileHeaders) {
// The file must have at least one signature line after it
const headerIdx = result.map.indexOf(header)
const afterHeader = result.map.slice(headerIdx + header.length)
// Should have content (signatures), not just the filename
expect(afterHeader.trim().length).toBeGreaterThan(0)
}
// Should have fewer files than total
expect(fileHeaders.length).toBeLessThan(FIXTURE_FILES.length)
})
})
describe('cache', () => {
test('second build of unchanged fixture uses the cache', async () => {
// First build (cold)
const result1 = await buildRepoMap({
root: FIXTURE_ROOT,
maxTokens: 2048,
files: FIXTURE_FILES,
})
expect(result1.cacheHit).toBe(false)
// Second build (warm)
const result2 = await buildRepoMap({
root: FIXTURE_ROOT,
maxTokens: 2048,
files: FIXTURE_FILES,
})
expect(result2.cacheHit).toBe(true)
expect(result2.buildTimeMs).toBeLessThan(result1.buildTimeMs)
// Output should be identical
expect(result2.map).toBe(result1.map)
})
test('modifying a file invalidates only that file', async () => {
// Create a temp copy of the fixture
const tempDir = mkdtempSync(join(tmpdir(), 'repomap-test-'))
try {
for (const f of FIXTURE_FILES) {
cpSync(join(FIXTURE_ROOT, f), join(tempDir, f))
}
// First build
const result1 = await buildRepoMap({
root: tempDir,
maxTokens: 2048,
files: FIXTURE_FILES,
})
expect(result1.cacheHit).toBe(false)
// Touch one file to change its mtime
const targetFile = join(tempDir, 'fileE.ts')
const now = new Date()
utimesSync(targetFile, now, now)
// Second build — rendered cache should be invalidated because file list hash
// includes the files and the rendered map hash changes with different mtimes
// for the per-file cache check
invalidateCache(tempDir)
const result2 = await buildRepoMap({
root: tempDir,
maxTokens: 2048,
files: FIXTURE_FILES,
})
// The per-file cache for fileE should miss (mtime changed),
// but other files should still hit the per-file cache
expect(result2.cacheHit).toBe(false)
// Output should still be valid
expect(result2.map.length).toBeGreaterThan(0)
expect(result2.fileCount).toBe(result1.fileCount)
} finally {
rmSync(tempDir, { recursive: true, force: true })
invalidateCache(tempDir)
}
})
})
describe('gitFiles', () => {
test('falls back gracefully when not in a git repo', async () => {
// Create a temp directory with source files but NO .git
const tempDir = mkdtempSync(join(tmpdir(), 'repomap-nogit-'))
try {
writeFileSync(
join(tempDir, 'hello.ts'),
'export function hello(): string { return "world" }\n',
)
writeFileSync(
join(tempDir, 'utils.ts'),
'export function add(a: number, b: number): number { return a + b }\n',
)
const result = await buildRepoMap({
root: tempDir,
maxTokens: 1024,
})
// Should succeed without throwing
expect(result.map.length).toBeGreaterThan(0)
expect(result.totalFileCount).toBeGreaterThan(0)
} finally {
rmSync(tempDir, { recursive: true, force: true })
invalidateCache(tempDir)
}
})
})
describe('error handling', () => {
test('no crash on malformed source file', async () => {
const tempDir = mkdtempSync(join(tmpdir(), 'repomap-malformed-'))
try {
// Valid file
writeFileSync(
join(tempDir, 'good.ts'),
'export function good(): number { return 1 }\n',
)
// Malformed file — severe syntax errors
writeFileSync(
join(tempDir, 'bad.ts'),
'}{}{}{export classclass [[[ function ,,, @@@ ###\n',
)
const result = await buildRepoMap({
root: tempDir,
maxTokens: 1024,
files: ['good.ts', 'bad.ts'],
})
// Should complete successfully
expect(result.map.length).toBeGreaterThan(0)
// The good file should be in the output
expect(result.map).toContain('good.ts')
} finally {
rmSync(tempDir, { recursive: true, force: true })
invalidateCache(tempDir)
}
})
})

View File

@@ -1,108 +0,0 @@
import { readFileSync } from 'fs'
import { join } from 'path'
import { getLanguageForFile } from './gitFiles.js'
import { createParser, loadLanguage, loadQuery } from './parser.js'
import type { FileTags, Tag } from './types.js'
/**
* Extract definition and reference tags from a single source file.
* Returns null if the file can't be parsed (unsupported language, parse error, etc).
*/
export async function extractTags(
filePath: string,
root: string,
): Promise<FileTags | null> {
const language = getLanguageForFile(filePath)
if (!language) return null
const absolutePath = join(root, filePath)
let source: string
try {
source = readFileSync(absolutePath, 'utf-8')
} catch {
return null
}
const lines = source.split('\n')
const parser = await createParser(language)
if (!parser) return null
const querySource = loadQuery(language)
if (!querySource) {
parser.delete()
return null
}
try {
const tree = parser.parse(source) as {
rootNode: unknown
}
const lang = await loadLanguage(language)
if (!lang) {
parser.delete()
return null
}
// Use the non-deprecated Query constructor
const { Query } = await import('web-tree-sitter')
const query = new Query(lang, querySource) as {
matches(rootNode: unknown): Array<{
pattern: number
captures: Array<{
name: string
node: {
text: string
startPosition: { row: number; column: number }
endPosition: { row: number; column: number }
}
}>
}>
}
const matches = query.matches(tree.rootNode)
const tags: Tag[] = []
const seen = new Set<string>() // dedup by kind+name+line
for (const match of matches) {
let name: string | null = null
let kind: 'def' | 'ref' | null = null
let subKind: string | undefined
let lineRow = 0
for (const capture of match.captures) {
const captureName = capture.name
// Name captures: name.definition.X or name.reference.X
if (captureName.startsWith('name.definition.')) {
name = capture.node.text
kind = 'def'
subKind = captureName.slice('name.definition.'.length)
lineRow = capture.node.startPosition.row
} else if (captureName.startsWith('name.reference.')) {
name = capture.node.text
kind = 'ref'
subKind = captureName.slice('name.reference.'.length)
lineRow = capture.node.startPosition.row
}
}
if (name && kind) {
const key = `${kind}:${name}:${lineRow}`
if (!seen.has(key)) {
seen.add(key)
const line = lineRow + 1 // convert 0-based to 1-based
const signature = lines[lineRow]?.trimEnd() ?? ''
tags.push({ kind, name, line, signature, subKind })
}
}
}
parser.delete()
return { path: filePath, tags }
} catch {
parser.delete()
return null
}
}

View File

@@ -1,15 +0,0 @@
import { getEncoding, type Tiktoken } from 'js-tiktoken'
let encoder: Tiktoken | null = null
function getEncoder() {
if (!encoder) {
encoder = getEncoding('cl100k_base')
}
return encoder
}
/** Count the number of tokens in a string using cl100k_base encoding. */
export function countTokens(text: string): number {
return getEncoder().encode(text).length
}

View File

@@ -1,65 +0,0 @@
export interface Tag {
/** 'def' for definitions, 'ref' for references */
kind: 'def' | 'ref'
/** Symbol name (e.g. function name, class name) */
name: string
/** 1-based line number in the source file */
line: number
/** The full line of source code at this position (used as signature for defs) */
signature: string
/** Sub-kind from the query (e.g. 'function', 'class', 'method', 'type') */
subKind?: string
}
export interface FileTags {
/** Relative path from the repo root */
path: string
/** All tags extracted from this file */
tags: Tag[]
}
export interface RepoMapOptions {
/** Root directory of the repo (defaults to cwd) */
root?: string
/** Maximum token budget for the rendered map */
maxTokens?: number
/** Files to boost in PageRank (relative paths) */
focusFiles?: string[]
/** Override the list of files to process (relative paths) */
files?: string[]
}
export interface RepoMapResult {
/** The rendered repo map string */
map: string
/** Whether the result came from cache */
cacheHit: boolean
/** Time in milliseconds to build the map */
buildTimeMs: number
/** Number of files included in the rendered map */
fileCount: number
/** Total number of files processed */
totalFileCount: number
/** Actual token count of the rendered map */
tokenCount: number
}
export interface CacheEntry {
tags: Tag[]
mtimeMs: number
size: number
}
export interface CacheData {
version: number
entries: Record<string, CacheEntry>
}
export interface CacheStats {
cacheDir: string
cacheFile: string | null
entryCount: number
exists: boolean
}
export type SupportedLanguage = 'typescript' | 'javascript' | 'python'

View File

@@ -5,7 +5,7 @@ import {
} from '../utils/providerProfile.js'
import {
getProviderValidationError,
validateProviderEnvOrExit,
validateProviderEnvForStartupOrExit,
} from '../utils/providerValidation.js'
// OpenClaude: polyfill globalThis.File for Node < 20.
@@ -132,7 +132,7 @@ async function main(): Promise<void> {
hydrateGithubModelsTokenFromSecureStorage()
}
await validateProviderEnvOrExit()
await validateProviderEnvForStartupOrExit()
// Print the gradient startup screen before the Ink UI loads
const { printStartupScreen } = await import('../components/StartupScreen.js')

View File

@@ -0,0 +1,75 @@
import { describe, it, expect, mock } from 'bun:test'
import { getCombinedTools, loadReexposedMcpTools } from './mcp.js'
import type { Tool as InternalTool } from '../Tool.js'
import type { MCPServerConnection } from '../services/mcp/types.js'
import type { Tool } from '@modelcontextprotocol/sdk/types.js'
// Mock the MCP client service to control the tools and connections returned
const mockGetMcpToolsCommandsAndResources = mock(async (onConnectionAttempt: any) => {})
mock.module('../services/mcp/client.js', () => ({
getMcpToolsCommandsAndResources: mockGetMcpToolsCommandsAndResources
}))
describe('getCombinedTools', () => {
it('deduplicates builtins when mcpTools have the same name, prioritizing mcpTools', () => {
const builtinBash = { name: 'Bash', isMcp: false } as unknown as InternalTool
const builtinRead = { name: 'Read', isMcp: false } as unknown as InternalTool
const mcpBash = { name: 'Bash', isMcp: true } as unknown as InternalTool
const builtins = [builtinBash, builtinRead]
const mcpTools = [mcpBash]
const result = getCombinedTools(builtins, mcpTools)
expect(result).toHaveLength(2)
expect(result[0]).toBe(mcpBash)
expect(result[1]).toBe(builtinRead)
})
})
describe('loadReexposedMcpTools', () => {
it('loads tools and clients regardless of connection state (including needs-auth)', async () => {
// Setup the mock to simulate yielding a needs-auth server and a connected server
mockGetMcpToolsCommandsAndResources.mockImplementation(async (onConnectionAttempt) => {
const needsAuthClient = {
name: 'auth-server',
type: 'needs-auth',
config: {}
} as MCPServerConnection
const authTool = {
name: 'mcp__auth-server__authenticate',
isMcp: true
} as unknown as InternalTool
const connectedClient = {
name: 'connected-server',
type: 'connected',
config: {},
client: {}
} as MCPServerConnection
const connectedTool = {
name: 'mcp__connected-server__do_thing',
isMcp: true
} as unknown as InternalTool
// Simulate the callback behavior
onConnectionAttempt({ client: needsAuthClient, tools: [authTool], commands: [] })
onConnectionAttempt({ client: connectedClient, tools: [connectedTool], commands: [] })
})
const { mcpClients, mcpTools } = await loadReexposedMcpTools()
expect(mcpClients).toHaveLength(2)
expect(mcpClients[0].type).toBe('needs-auth')
expect(mcpClients[1].type).toBe('connected')
expect(mcpTools).toHaveLength(2)
expect(mcpTools[0].name).toBe('mcp__auth-server__authenticate')
expect(mcpTools[1].name).toBe('mcp__connected-server__do_thing')
// Reset mock for other tests
mockGetMcpToolsCommandsAndResources.mockReset()
})
})

View File

@@ -7,6 +7,7 @@ process.env.CLAUDE_CODE_DISABLE_EXPERIMENTAL_BETAS ??= 'true'
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'
import { ZodError } from 'zod'
import {
CallToolRequestSchema,
type CallToolResult,
@@ -17,9 +18,12 @@ import {
import { getDefaultAppState } from 'src/state/AppStateStore.js'
import review from '../commands/review.js'
import type { Command } from '../commands.js'
import { getMcpToolsCommandsAndResources } from '../services/mcp/client.js'
import type { MCPServerConnection } from '../services/mcp/types.js'
import {
findToolByName,
getEmptyToolPermissionContext,
type Tool as InternalTool,
type ToolUseContext,
} from '../Tool.js'
import { getTools } from '../tools.js'
@@ -39,6 +43,32 @@ type ToolOutput = Tool['outputSchema']
const MCP_COMMANDS: Command[] = [review]
export function getCombinedTools(
builtins: InternalTool[],
mcpTools: InternalTool[],
): InternalTool[] {
const mcpToolNames = new Set(mcpTools.map(t => t.name))
const deduplicatedBuiltins = builtins.filter(t => !mcpToolNames.has(t.name))
return [...mcpTools, ...deduplicatedBuiltins]
}
export async function loadReexposedMcpTools(): Promise<{
mcpClients: MCPServerConnection[]
mcpTools: InternalTool[]
}> {
const mcpClients: MCPServerConnection[] = []
const mcpTools: InternalTool[] = []
// Load configured MCP clients and their tools
await getMcpToolsCommandsAndResources(({ client, tools: clientTools }) => {
mcpClients.push(client)
mcpTools.push(...clientTools)
})
return { mcpClients, mcpTools }
}
export async function startMCPServer(
cwd: string,
debug: boolean,
@@ -63,12 +93,13 @@ export async function startMCPServer(
},
)
const { mcpClients, mcpTools } = await loadReexposedMcpTools()
server.setRequestHandler(
ListToolsRequestSchema,
async (): Promise<ListToolsResult> => {
// TODO: Also re-expose any MCP tools
const toolPermissionContext = getEmptyToolPermissionContext()
const tools = getTools(toolPermissionContext)
const tools = getCombinedTools(getTools(toolPermissionContext), mcpTools)
return {
tools: await Promise.all(
tools.map(async tool => {
@@ -94,7 +125,7 @@ export async function startMCPServer(
tools,
agents: [],
}),
inputSchema: zodToJsonSchema(tool.inputSchema) as ToolInput,
inputSchema: (tool.inputJSONSchema ?? zodToJsonSchema(tool.inputSchema)) as ToolInput,
outputSchema,
}
}),
@@ -107,8 +138,7 @@ export async function startMCPServer(
CallToolRequestSchema,
async ({ params: { name, arguments: args } }): Promise<CallToolResult> => {
const toolPermissionContext = getEmptyToolPermissionContext()
// TODO: Also re-expose any MCP tools
const tools = getTools(toolPermissionContext)
const tools = getCombinedTools(getTools(toolPermissionContext), mcpTools)
const tool = findToolByName(tools, name)
if (!tool) {
throw new Error(`Tool ${name} not found`)
@@ -123,7 +153,7 @@ export async function startMCPServer(
tools,
mainLoopModel: getMainLoopModel(),
thinkingConfig: { type: 'disabled' },
mcpClients: [],
mcpClients,
mcpResources: {},
isNonInteractiveSession: true,
debug,
@@ -140,13 +170,16 @@ export async function startMCPServer(
updateAttributionState: () => {},
}
// TODO: validate input types with zod
try {
if (!tool.isEnabled()) {
throw new Error(`Tool ${name} is not enabled`)
}
// Validate input types with zod
const parsedArgs = tool.inputSchema.parse(args ?? {})
const validationResult = await tool.validateInput?.(
(args as never) ?? {},
(parsedArgs as never) ?? {},
toolUseContext,
)
if (validationResult && !validationResult.result) {
@@ -155,7 +188,7 @@ export async function startMCPServer(
)
}
const finalResult = await tool.call(
(args ?? {}) as never,
(parsedArgs ?? {}) as never,
toolUseContext,
hasPermissionsToUseTool,
createAssistantMessage({
@@ -163,20 +196,50 @@ export async function startMCPServer(
}),
)
let content: CallToolResult['content']
const data = finalResult.data as string | { type: string; text?: string; source?: { type: string; media_type: string; data: string } }[] | unknown
if (typeof data === 'string') {
content = [{ type: 'text', text: data }]
} else if (Array.isArray(data)) {
content = data.map((block: any) => {
if (block.type === 'text') {
return { type: 'text', text: block.text || '' }
} else if (block.type === 'image' && block.source) {
return {
content: [
{
type: 'text' as const,
text:
typeof finalResult === 'string'
? finalResult
: jsonStringify(finalResult.data),
},
],
type: 'image',
data: block.source.data,
mimeType: block.source.media_type,
}
} else {
// eslint-disable-next-line custom-rules/no-top-level-side-effects, no-console
console.warn(`Unmapped content block type from tool ${name}: ${block.type || 'unknown'}`)
return { type: 'text', text: jsonStringify(block) }
}
}) as CallToolResult['content']
} else {
content = [{ type: 'text', text: jsonStringify(data) }]
}
return {
content,
isError: !!(finalResult as any).isError,
}
} catch (error) {
logError(error)
if (error instanceof ZodError) {
return {
isError: true,
content: [
{
type: 'text',
text: `Tool ${name} input is invalid:\n${error.errors.map(e => `- ${e.path.join('.')}: ${e.message}`).join('\n')}`,
},
],
}
}
const parts =
error instanceof Error ? getErrorParts(error) : [String(error)]
const errorText = parts.filter(Boolean).join('\n').trim() || 'Error'
@@ -201,3 +264,4 @@ export async function startMCPServer(
return await runServer()
}

View File

@@ -114,8 +114,8 @@ export const SandboxSettingsSchema = lazySchema(() =>
.boolean()
.optional()
.describe(
'Allow commands to run outside the sandbox via the dangerouslyDisableSandbox parameter. ' +
'When false, the dangerouslyDisableSandbox parameter is completely ignored and all commands must run sandboxed. ' +
'Allow trusted, user-initiated commands to run outside the sandbox. ' +
'When false, sandbox override requests are ignored and all commands must run sandboxed. ' +
'Default: true.',
),
network: SandboxNetworkConfigSchema(),

View File

@@ -19,7 +19,7 @@ async function _temp() {
logForDebugging("Showing marketplace config save failure notification");
notifs.push({
key: "marketplace-config-save-failed",
jsx: <Text color="error">Failed to save marketplace retry info · Check ~/.claude.json permissions</Text>,
jsx: <Text color="error">Failed to save marketplace retry info · Check ~/.openclaude.json permissions</Text>,
priority: "immediate",
timeoutMs: 10000
});

View File

@@ -1,5 +1,8 @@
import { expect, test } from 'bun:test'
import { supportsClipboardImageFallback } from './usePasteHandler.ts'
import {
shouldHandleInputAsPaste,
supportsClipboardImageFallback,
} from './usePasteHandler.ts'
test('supports clipboard image fallback on Windows', () => {
expect(supportsClipboardImageFallback('windows')).toBe(true)
@@ -20,3 +23,42 @@ test('does not support clipboard image fallback on WSL', () => {
test('does not support clipboard image fallback on unknown platforms', () => {
expect(supportsClipboardImageFallback('unknown')).toBe(false)
})
test('does not treat a bracketed paste as pending when no paste handlers are provided', () => {
expect(
shouldHandleInputAsPaste({
hasTextPasteHandler: false,
hasImagePasteHandler: false,
inputLength: 'kimi-k2.5'.length,
pastePending: false,
hasImageFilePath: false,
isFromPaste: true,
}),
).toBe(false)
})
test('treats bracketed text paste as pending when a text paste handler exists', () => {
expect(
shouldHandleInputAsPaste({
hasTextPasteHandler: true,
hasImagePasteHandler: false,
inputLength: 'kimi-k2.5'.length,
pastePending: false,
hasImageFilePath: false,
isFromPaste: true,
}),
).toBe(true)
})
test('treats image path paste as pending when only an image handler exists', () => {
expect(
shouldHandleInputAsPaste({
hasTextPasteHandler: false,
hasImagePasteHandler: true,
inputLength: 'C:\\Users\\jat\\image.png'.length,
pastePending: false,
hasImageFilePath: true,
isFromPaste: false,
}),
).toBe(true)
})

View File

@@ -35,6 +35,24 @@ type PasteHandlerProps = {
) => void
}
export function shouldHandleInputAsPaste(options: {
hasTextPasteHandler: boolean
hasImagePasteHandler: boolean
inputLength: number
pastePending: boolean
hasImageFilePath: boolean
isFromPaste: boolean
}): boolean {
return (
(options.hasTextPasteHandler &&
(options.inputLength > PASTE_THRESHOLD ||
options.pastePending ||
options.hasImageFilePath ||
options.isFromPaste)) ||
(options.hasImagePasteHandler && options.hasImageFilePath)
)
}
export function usePasteHandler({
onPaste,
onInput,
@@ -236,11 +254,6 @@ export function usePasteHandler({
// The keypress parser sets isPasted=true for content within bracketed paste.
const isFromPaste = event.keypress.isPasted
// If this is pasted content, set isPasting state for UI feedback
if (isFromPaste) {
setIsPasting(true)
}
// Handle large pastes (>PASTE_THRESHOLD chars)
// Usually we get one or two input characters at a time. If we
// get more than the threshold, the user has probably pasted.
@@ -268,6 +281,7 @@ export function usePasteHandler({
canFallbackToClipboardImage &&
onImagePaste
) {
setIsPasting(true)
checkClipboardForImage()
// Reset isPasting since there's no text content to process
setIsPasting(false)
@@ -275,14 +289,17 @@ export function usePasteHandler({
}
// Check if we should handle as paste (from bracketed paste, large input, or continuation)
const shouldHandleAsPaste =
onPaste &&
(input.length > PASTE_THRESHOLD ||
pastePendingRef.current ||
hasImageFilePath ||
isFromPaste)
const shouldHandleAsPaste = shouldHandleInputAsPaste({
hasTextPasteHandler: Boolean(onPaste),
hasImagePasteHandler: Boolean(onImagePaste),
inputLength: input.length,
pastePending: pastePendingRef.current,
hasImageFilePath,
isFromPaste,
})
if (shouldHandleAsPaste) {
setIsPasting(true)
pastePendingRef.current = true
setPasteState(({ chunks, timeoutId }) => {
return {

View File

@@ -1,34 +1,23 @@
/**
* Swarm Permission Poller Hook
* Swarm Permission Callback Registry
*
* This hook polls for permission responses from the team leader when running
* as a worker agent in a swarm. When a response is received, it calls the
* appropriate callback (onAllow/onReject) to continue execution.
* Manages callback registrations for permission requests and responses
* in agent swarms. Responses are delivered exclusively via the mailbox
* system (useInboxPoller → processMailboxPermissionResponse).
*
* This hook should be used in conjunction with the worker-side integration
* in useCanUseTool.ts, which creates pending requests that this hook monitors.
* The legacy file-based polling (resolved/ directory) has been removed
* because it created an unauthenticated attack surface — any local process
* could forge approval files. The mailbox path is the sole active channel.
*/
import { useCallback, useEffect, useRef } from 'react'
import { useInterval } from 'usehooks-ts'
import { logForDebugging } from '../utils/debug.js'
import { errorMessage } from '../utils/errors.js'
import {
type PermissionUpdate,
permissionUpdateSchema,
} from '../utils/permissions/PermissionUpdateSchema.js'
import {
isSwarmWorker,
type PermissionResponse,
pollForResponse,
removeWorkerResponse,
} from '../utils/swarm/permissionSync.js'
import { getAgentName, getTeamName } from '../utils/teammate.js'
const POLL_INTERVAL_MS = 500
/**
* Validate permissionUpdates from external sources (mailbox IPC, disk polling).
* Validate permissionUpdates from external sources (mailbox IPC).
* Malformed entries from buggy/old teammate processes are filtered out rather
* than propagated unchecked into callback.onAllow().
*/
@@ -225,106 +214,9 @@ export function processSandboxPermissionResponse(params: {
return true
}
/**
* Process a permission response by invoking the registered callback
*/
function processResponse(response: PermissionResponse): boolean {
const callback = pendingCallbacks.get(response.requestId)
if (!callback) {
logForDebugging(
`[SwarmPermissionPoller] No callback registered for request ${response.requestId}`,
)
return false
}
logForDebugging(
`[SwarmPermissionPoller] Processing response for request ${response.requestId}: ${response.decision}`,
)
// Remove from registry before invoking callback
pendingCallbacks.delete(response.requestId)
if (response.decision === 'approved') {
const permissionUpdates = parsePermissionUpdates(response.permissionUpdates)
const updatedInput = response.updatedInput
callback.onAllow(updatedInput, permissionUpdates)
} else {
callback.onReject(response.feedback)
}
return true
}
/**
* Hook that polls for permission responses when running as a swarm worker.
*
* This hook:
* 1. Only activates when isSwarmWorker() returns true
* 2. Polls every 500ms for responses
* 3. When a response is found, invokes the registered callback
* 4. Cleans up the response file after processing
*/
export function useSwarmPermissionPoller(): void {
const isProcessingRef = useRef(false)
const poll = useCallback(async () => {
// Don't poll if not a swarm worker
if (!isSwarmWorker()) {
return
}
// Prevent concurrent polling
if (isProcessingRef.current) {
return
}
// Don't poll if no callbacks are registered
if (pendingCallbacks.size === 0) {
return
}
isProcessingRef.current = true
try {
const agentName = getAgentName()
const teamName = getTeamName()
if (!agentName || !teamName) {
return
}
// Check each pending request for a response
for (const [requestId, _callback] of pendingCallbacks) {
const response = await pollForResponse(requestId, agentName, teamName)
if (response) {
// Process the response
const processed = processResponse(response)
if (processed) {
// Clean up the response from the worker's inbox
await removeWorkerResponse(requestId, agentName, teamName)
}
}
}
} catch (error) {
logForDebugging(
`[SwarmPermissionPoller] Error during poll: ${errorMessage(error)}`,
)
} finally {
isProcessingRef.current = false
}
}, [])
// Only poll if we're a swarm worker
const shouldPoll = isSwarmWorker()
useInterval(() => void poll(), shouldPoll ? POLL_INTERVAL_MS : null)
// Initial poll on mount
useEffect(() => {
if (isSwarmWorker()) {
void poll()
}
}, [poll])
}
// Legacy file-based polling (useSwarmPermissionPoller, processResponse)
// has been removed. Permission responses are now delivered exclusively
// via the mailbox system:
// Leader: sendPermissionResponseViaMailbox() → writeToMailbox()
// Worker: useInboxPoller → processMailboxPermissionResponse()
// See: fix(security) — remove unauthenticated file-based permission channel

View File

@@ -11,14 +11,16 @@ const execFileNoThrowMock = mock(
async () => ({ code: 0, stdout: '', stderr: '' }),
)
mock.module('../../utils/execFileNoThrow.js', () => ({
function installOscMocks(): void {
mock.module('../../utils/execFileNoThrow.js', () => ({
execFileNoThrow: execFileNoThrowMock,
execFileNoThrowWithCwd: execFileNoThrowMock,
}))
}))
mock.module('../../utils/tempfile.js', () => ({
mock.module('../../utils/tempfile.js', () => ({
generateTempFilePath: generateTempFilePathMock,
}))
}))
}
async function importFreshOscModule() {
return import(`./osc.ts?ts=${Date.now()}-${Math.random()}`)
@@ -45,6 +47,7 @@ async function waitForExecCall(
describe('Windows clipboard fallback', () => {
beforeEach(() => {
installOscMocks()
execFileNoThrowMock.mockClear()
generateTempFilePathMock.mockClear()
process.env = { ...originalEnv }
@@ -62,14 +65,12 @@ describe('Windows clipboard fallback', () => {
const { setClipboard } = await importFreshOscModule()
await setClipboard('Привет мир')
await flushClipboardCopy()
const windowsCall = await waitForExecCall('powershell')
expect(execFileNoThrowMock.mock.calls.some(([cmd]) => cmd === 'clip')).toBe(
false,
)
expect(
execFileNoThrowMock.mock.calls.some(([cmd]) => cmd === 'powershell'),
).toBe(true)
expect(windowsCall).toBeDefined()
})
test('passes Windows clipboard text through a UTF-8 temp file instead of stdin', async () => {
@@ -97,6 +98,7 @@ describe('Windows clipboard fallback', () => {
describe('clipboard path behavior remains stable', () => {
beforeEach(() => {
installOscMocks()
execFileNoThrowMock.mockClear()
process.env = { ...originalEnv }
delete process.env['SSH_CONNECTION']

View File

@@ -12,7 +12,7 @@ import {
* One-shot migration: clear skipAutoPermissionPrompt for users who accepted
* the old 2-option AutoModeOptInDialog but don't have auto as their default.
* Re-surfaces the dialog so they see the new "make it my default mode" option.
* Guard lives in GlobalConfig (~/.claude.json), not settings.json, so it
* Guard lives in GlobalConfig (~/.openclaude.json), not settings.json, so it
* survives settings resets and doesn't re-arm itself.
*
* Only runs when tengu_auto_mode_config.enabled === 'enabled'. For 'opt-in'

View File

@@ -3873,7 +3873,7 @@ export function REPL({
// empty to non-empty, not on every length change -- otherwise a render loop
// (concurrent onQuery thrashing, etc.) spams saveGlobalConfig, which hits
// ELOCKED under concurrent sessions and falls back to unlocked writes.
// That write storm is the primary trigger for ~/.claude.json corruption
// That write storm is the primary trigger for ~/.openclaude.json corruption
// (GH #3117).
const hasCountedQueueUseRef = useRef(false);
useEffect(() => {

View File

@@ -334,7 +334,7 @@ async function processRemoteEvalPayload(
// Empty object is truthy — without the length check, `{features: {}}`
// (transient server bug, truncated response) would pass, clear the maps
// below, return true, and syncRemoteEvalToDisk would wholesale-write `{}`
// to disk: total flag blackout for every process sharing ~/.claude.json.
// to disk: total flag blackout for every process sharing ~/.openclaude.json.
if (!payload?.features || Object.keys(payload.features).length === 0) {
return false
}

View File

@@ -23,6 +23,7 @@ import { randomUUID } from 'crypto'
import {
getAPIProvider,
isFirstPartyAnthropicBaseUrl,
isGithubNativeAnthropicMode,
} from 'src/utils/model/providers.js'
import {
getAttributionHeader,
@@ -334,8 +335,13 @@ export function getPromptCachingEnabled(model: string): boolean {
// Prompt caching is an Anthropic-specific feature. Third-party providers
// do not understand cache_control blocks and strict backends (e.g. Azure
// Foundry) reject or flag requests that contain them.
//
// Exception: when the GitHub provider is configured in native Anthropic API
// mode (CLAUDE_CODE_GITHUB_ANTHROPIC_API=1), requests are sent in Anthropic
// format, so cache_control blocks are supported.
const provider = getAPIProvider()
if (provider !== 'firstParty' && provider !== 'bedrock' && provider !== 'vertex') {
const isNativeGithub = isGithubNativeAnthropicMode(model)
if (provider !== 'firstParty' && provider !== 'bedrock' && provider !== 'vertex' && !isNativeGithub) {
return false
}
@@ -1211,7 +1217,7 @@ async function* queryModel(
cachedMCEnabled = featureEnabled && modelSupported
const config = getCachedMCConfig()
logForDebugging(
`Cached MC gate: enabled=${featureEnabled} modelSupported=${modelSupported} model=${options.model} supportedModels=${jsonStringify(config.supportedModels)}`,
`Cached MC gate: enabled=${featureEnabled} modelSupported=${modelSupported} model=${options.model} supportedModels=${jsonStringify(config?.supportedModels)}`,
)
}

View File

@@ -14,6 +14,7 @@ import { getSmallFastModel } from 'src/utils/model/model.js'
import {
getAPIProvider,
isFirstPartyAnthropicBaseUrl,
isGithubNativeAnthropicMode,
} from 'src/utils/model/providers.js'
import { getProxyFetchOptions } from 'src/utils/proxy.js'
import {
@@ -174,6 +175,25 @@ export async function getAnthropicClient({
providerOverride,
}) as unknown as Anthropic
}
// GitHub provider in native Anthropic API mode: send requests in Anthropic
// format so cache_control blocks are honoured and prompt caching works.
// Requires the GitHub endpoint (OPENAI_BASE_URL) to support Anthropic's
// messages API — set CLAUDE_CODE_GITHUB_ANTHROPIC_API=1 to opt in.
if (isGithubNativeAnthropicMode(model)) {
const githubBaseUrl =
process.env.OPENAI_BASE_URL?.replace(/\/$/, '') ??
'https://api.githubcopilot.com'
const githubToken =
process.env.GITHUB_TOKEN ?? process.env.GH_TOKEN ?? ''
const nativeArgs: ConstructorParameters<typeof Anthropic>[0] = {
...ARGS,
baseURL: githubBaseUrl,
authToken: githubToken,
// No apiKey — we authenticate via Bearer token (authToken)
apiKey: null,
}
return new Anthropic(nativeArgs)
}
if (
isEnvTruthy(process.env.CLAUDE_CODE_USE_OPENAI) ||
isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB) ||

View File

@@ -8,6 +8,7 @@ import {
convertCodexResponseToAnthropicMessage,
convertToolsToResponsesTools,
} from './codexShim.js'
import { __test as webSearchToolTest } from '../../tools/WebSearchTool/WebSearchTool.js'
const tempDirs: string[] = []
const originalEnv = {
@@ -547,7 +548,7 @@ describe('Codex request translation', () => {
])
})
test('strips leaked reasoning preamble from completed Codex text responses', () => {
test('strips <think> tag block from completed Codex text responses', () => {
const message = convertCodexResponseToAnthropicMessage(
{
id: 'resp_1',
@@ -560,7 +561,7 @@ describe('Codex request translation', () => {
{
type: 'output_text',
text:
'The user just said "hey" - a simple greeting. I should respond briefly and friendly.\n\nHey! How can I help you today?',
'<think>user wants a greeting, respond briefly</think>Hey! How can I help you today?',
},
],
},
@@ -578,6 +579,195 @@ describe('Codex request translation', () => {
])
})
test('strips unterminated <think> tag at block boundary in Codex completed response', () => {
const message = convertCodexResponseToAnthropicMessage(
{
id: 'resp_1',
model: 'gpt-5.4',
output: [
{
type: 'message',
role: 'assistant',
content: [
{
type: 'output_text',
text:
'Here is the answer.\n<think>wait, let me reconsider the user request',
},
],
},
],
usage: { input_tokens: 12, output_tokens: 4 },
},
'gpt-5.4',
)
expect(message.content).toEqual([
{
type: 'text',
text: 'Here is the answer.',
},
])
})
test('recovers Codex web search text and sources from sparse completed response', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{
output: [
{
type: 'web_search_call',
sources: [
{
title: 'OpenClaude repo',
url: 'https://github.com/example/openclaude',
},
],
},
{
type: 'message',
role: 'assistant',
content: [
{
type: 'text',
text: 'OpenClaude is available on GitHub.',
sources: [
{
title: 'Docs',
url: 'https://docs.example.com/openclaude',
},
],
},
],
},
],
},
'OpenClaude GitHub 2026',
0.42,
)
expect(output.results).toEqual([
'OpenClaude is available on GitHub.',
{
tool_use_id: 'codex-web-search',
content: [
{
title: 'OpenClaude repo',
url: 'https://github.com/example/openclaude',
},
{
title: 'Docs',
url: 'https://docs.example.com/openclaude',
},
],
},
])
})
test('falls back to a non-empty Codex web search result message', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{ output: [] },
'OpenClaude GitHub 2026',
0.11,
)
expect(output.results).toEqual(['No results found.'])
})
test('surfaces Codex web search failure reason with a message', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{
output: [
{
type: 'web_search_call',
status: 'failed',
error: { message: 'upstream search provider rate-limited' },
},
],
},
'OpenClaude GitHub 2026',
0.05,
)
expect(output.results).toEqual([
'Web search failed: upstream search provider rate-limited',
])
})
test('surfaces Codex web search failure reason nested under action.error', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{
output: [
{
type: 'web_search_call',
status: 'failed',
action: { error: { message: 'query blocked' } },
},
],
},
'OpenClaude GitHub 2026',
0.05,
)
expect(output.results).toEqual(['Web search failed: query blocked'])
})
test('handles Codex web search failure with no reason attached', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{
output: [
{
type: 'web_search_call',
status: 'failed',
},
],
},
'OpenClaude GitHub 2026',
0.05,
)
expect(output.results).toEqual(['Web search failed.'])
})
test('a failure item does not suppress sources from a later message item', () => {
const output = webSearchToolTest.makeOutputFromCodexWebSearchResponse(
{
output: [
{
type: 'web_search_call',
status: 'failed',
error: { message: 'partial outage' },
},
{
type: 'message',
role: 'assistant',
content: [
{
type: 'output_text',
text: 'Partial results below.',
sources: [
{ title: 'Docs', url: 'https://docs.example.com/openclaude' },
],
},
],
},
],
},
'OpenClaude GitHub 2026',
0.05,
)
expect(output.results).toEqual([
'Web search failed: partial outage',
'Partial results below.',
{
tool_use_id: 'codex-web-search',
content: [
{ title: 'Docs', url: 'https://docs.example.com/openclaude' },
],
},
])
})
test('translates Codex SSE text stream into Anthropic events', async () => {
const responseText = [
'event: response.output_item.added',
@@ -609,7 +799,7 @@ describe('Codex request translation', () => {
])
})
test('strips leaked reasoning preamble from Codex SSE text stream', async () => {
test('strips <think> tag block from Codex SSE text stream', async () => {
const responseText = [
'event: response.output_item.added',
'data: {"type":"response.output_item.added","item":{"id":"msg_1","type":"message","status":"in_progress","content":[],"role":"assistant"},"output_index":0,"sequence_number":0}',
@@ -618,13 +808,13 @@ describe('Codex request translation', () => {
'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_1","output_index":0,"part":{"type":"output_text","text":""},"sequence_number":1}',
'',
'event: response.output_text.delta',
'data: {"type":"response.output_text.delta","content_index":0,"delta":"The user just said \\"hey\\" - a simple greeting. I should respond briefly and friendly.\\n\\nHey! How can I help you today?","item_id":"msg_1","output_index":0,"sequence_number":2}',
'data: {"type":"response.output_text.delta","content_index":0,"delta":"<think>user wants a greeting, respond briefly</think>Hey! How can I help you today?","item_id":"msg_1","output_index":0,"sequence_number":2}',
'',
'event: response.output_item.done',
'data: {"type":"response.output_item.done","item":{"id":"msg_1","type":"message","status":"completed","content":[{"type":"output_text","text":"The user just said \\"hey\\" - a simple greeting. I should respond briefly and friendly.\\n\\nHey! How can I help you today?"}],"role":"assistant"},"output_index":0,"sequence_number":3}',
'data: {"type":"response.output_item.done","item":{"id":"msg_1","type":"message","status":"completed","content":[{"type":"output_text","text":"<think>user wants a greeting, respond briefly</think>Hey! How can I help you today?"}],"role":"assistant"},"output_index":0,"sequence_number":3}',
'',
'event: response.completed',
'data: {"type":"response.completed","response":{"id":"resp_1","status":"completed","model":"gpt-5.4","output":[{"type":"message","role":"assistant","content":[{"type":"output_text","text":"The user just said \\"hey\\" - a simple greeting. I should respond briefly and friendly.\\n\\nHey! How can I help you today?"}]}],"usage":{"input_tokens":2,"output_tokens":1}},"sequence_number":4}',
'data: {"type":"response.completed","response":{"id":"resp_1","status":"completed","model":"gpt-5.4","output":[{"type":"message","role":"assistant","content":[{"type":"output_text","text":"<think>user wants a greeting, respond briefly</think>Hey! How can I help you today?"}]}],"usage":{"input_tokens":2,"output_tokens":1}},"sequence_number":4}',
'',
].join('\n')
@@ -646,6 +836,50 @@ describe('Codex request translation', () => {
}
}
expect(textDeltas).toEqual(['Hey! How can I help you today?'])
expect(textDeltas.join('')).toBe('Hey! How can I help you today?')
})
test('preserves prose without tags (no phrase-based false positive)', async () => {
// Regression test: older phrase-based sanitizer would incorrectly strip text
// starting with "I should" or "The user". The tag-based approach leaves it alone.
const responseText = [
'event: response.output_item.added',
'data: {"type":"response.output_item.added","item":{"id":"msg_1","type":"message","status":"in_progress","content":[],"role":"assistant"},"output_index":0,"sequence_number":0}',
'',
'event: response.content_part.added',
'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_1","output_index":0,"part":{"type":"output_text","text":""},"sequence_number":1}',
'',
'event: response.output_text.delta',
'data: {"type":"response.output_text.delta","content_index":0,"delta":"I should note that the user role requires a briefly concise friendly response format.","item_id":"msg_1","output_index":0,"sequence_number":2}',
'',
'event: response.output_item.done',
'data: {"type":"response.output_item.done","item":{"id":"msg_1","type":"message","status":"completed","content":[{"type":"output_text","text":"I should note that the user role requires a briefly concise friendly response format."}],"role":"assistant"},"output_index":0,"sequence_number":3}',
'',
'event: response.completed',
'data: {"type":"response.completed","response":{"id":"resp_1","status":"completed","model":"gpt-5.4","output":[{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I should note that the user role requires a briefly concise friendly response format."}]}],"usage":{"input_tokens":2,"output_tokens":1}},"sequence_number":4}',
'',
].join('\n')
const stream = new ReadableStream({
start(controller) {
controller.enqueue(new TextEncoder().encode(responseText))
controller.close()
},
})
const textDeltas: string[] = []
for await (const event of codexStreamToAnthropic(
new Response(stream),
'gpt-5.4',
)) {
const delta = (event as { delta?: { type?: string; text?: string } }).delta
if (delta?.type === 'text_delta' && typeof delta.text === 'string') {
textDeltas.push(delta.text)
}
}
expect(textDeltas.join('')).toBe(
'I should note that the user role requires a briefly concise friendly response format.',
)
})
})

View File

@@ -1,14 +1,15 @@
import { APIError } from '@anthropic-ai/sdk'
import { compressToolHistory } from './compressToolHistory.js'
import { fetchWithProxyRetry } from './fetchWithProxyRetry.js'
import type {
ResolvedCodexCredentials,
ResolvedProviderRequest,
} from './providerConfig.js'
import { sanitizeSchemaForOpenAICompat } from './openaiSchemaSanitizer.js'
import {
looksLikeLeakedReasoningPrefix,
shouldBufferPotentialReasoningPrefix,
stripLeakedReasoningPreamble,
} from './reasoningLeakSanitizer.js'
createThinkTagFilter,
stripThinkTags,
} from './thinkTagSanitizer.js'
export interface AnthropicUsage {
input_tokens: number
@@ -484,13 +485,15 @@ export async function performCodexRequest(options: {
defaultHeaders: Record<string, string>
signal?: AbortSignal
}): Promise<Response> {
const input = convertAnthropicMessagesToResponsesInput(
const compressedMessages = compressToolHistory(
options.params.messages as Array<{
role?: string
message?: { role?: string; content?: unknown }
content?: unknown
}>,
options.request.resolvedModel,
)
const input = convertAnthropicMessagesToResponsesInput(compressedMessages)
const body: Record<string, unknown> = {
model: options.request.resolvedModel,
input: input.length > 0
@@ -559,12 +562,15 @@ export async function performCodexRequest(options: {
}
headers.originator ??= 'openclaude'
const response = await fetch(`${options.request.baseUrl}/responses`, {
const response = await fetchWithProxyRetry(
`${options.request.baseUrl}/responses`,
{
method: 'POST',
headers,
body: JSON.stringify(body),
signal: options.signal,
})
},
)
if (!response.ok) {
const errorBody = await response.text().catch(() => 'unknown error')
@@ -730,34 +736,29 @@ export async function* codexStreamToAnthropic(
{ index: number; toolUseId: string }
>()
let activeTextBlockIndex: number | null = null
let activeTextBuffer = ''
let textBufferMode: 'none' | 'pending' | 'strip' = 'none'
const thinkFilter = createThinkTagFilter()
let nextContentBlockIndex = 0
let sawToolUse = false
let finalResponse: Record<string, any> | undefined
const closeActiveTextBlock = async function* () {
if (activeTextBlockIndex === null) return
if (textBufferMode !== 'none') {
const sanitized = stripLeakedReasoningPreamble(activeTextBuffer)
if (sanitized) {
const tail = thinkFilter.flush()
if (tail) {
yield {
type: 'content_block_delta',
index: activeTextBlockIndex,
delta: {
type: 'text_delta',
text: sanitized,
text: tail,
},
}
}
}
yield {
type: 'content_block_stop',
index: activeTextBlockIndex,
}
activeTextBlockIndex = null
activeTextBuffer = ''
textBufferMode = 'none'
}
const startTextBlockIfNeeded = async function* () {
@@ -833,43 +834,17 @@ export async function* codexStreamToAnthropic(
if (event.event === 'response.output_text.delta') {
yield* startTextBlockIfNeeded()
activeTextBuffer += payload.delta ?? ''
if (activeTextBlockIndex !== null) {
if (
textBufferMode === 'strip' ||
looksLikeLeakedReasoningPrefix(activeTextBuffer)
) {
textBufferMode = 'strip'
continue
}
if (textBufferMode === 'pending') {
if (shouldBufferPotentialReasoningPrefix(activeTextBuffer)) {
continue
}
const visible = thinkFilter.feed(payload.delta ?? '')
if (visible) {
yield {
type: 'content_block_delta',
index: activeTextBlockIndex,
delta: {
type: 'text_delta',
text: activeTextBuffer,
text: visible,
},
}
textBufferMode = 'none'
continue
}
if (shouldBufferPotentialReasoningPrefix(activeTextBuffer)) {
textBufferMode = 'pending'
continue
}
yield {
type: 'content_block_delta',
index: activeTextBlockIndex,
delta: {
type: 'text_delta',
text: payload.delta ?? '',
},
}
}
continue
@@ -965,7 +940,7 @@ export function convertCodexResponseToAnthropicMessage(
if (part?.type === 'output_text') {
content.push({
type: 'text',
text: stripLeakedReasoningPreamble(part.text ?? ''),
text: stripThinkTags(part.text ?? ''),
})
}
}

View File

@@ -0,0 +1,572 @@
import { afterEach, beforeEach, expect, mock, test } from 'bun:test'
import { compressToolHistory, getTiers } from './compressToolHistory.js'
// Mock the two dependencies so tests are deterministic and don't read disk config.
const mockState = {
enabled: true,
effectiveWindow: 100_000,
}
mock.module('../../utils/config.js', () => ({
getGlobalConfig: () => ({
toolHistoryCompressionEnabled: mockState.enabled,
}),
}))
mock.module('../compact/autoCompact.js', () => ({
getEffectiveContextWindowSize: () => mockState.effectiveWindow,
}))
beforeEach(() => {
mockState.enabled = true
mockState.effectiveWindow = 100_000
})
afterEach(() => {
mockState.enabled = true
mockState.effectiveWindow = 100_000
})
type Block = Record<string, unknown>
type Msg = { role: string; content: Block[] | string }
function bigText(n: number): string {
return 'x'.repeat(n)
}
function buildToolExchange(id: number, resultLength: number): Msg[] {
return [
{
role: 'assistant',
content: [
{
type: 'tool_use',
id: `toolu_${id}`,
name: 'Read',
input: { file_path: `/path/to/file${id}.ts` },
},
],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: `toolu_${id}`,
content: bigText(resultLength),
},
],
},
]
}
function buildConversation(numToolExchanges: number, resultLength = 5_000): Msg[] {
const out: Msg[] = [{ role: 'user', content: 'Initial request' }]
for (let i = 0; i < numToolExchanges; i++) {
out.push(...buildToolExchange(i, resultLength))
}
return out
}
function getResultMessages(messages: Msg[]): Msg[] {
return messages.filter(
m => Array.isArray(m.content) && m.content.some((b: any) => b.type === 'tool_result'),
)
}
function getResultBlock(msg: Msg): Block {
return (msg.content as Block[]).find((b: any) => b.type === 'tool_result') as Block
}
function getResultText(msg: Msg): string {
const block = getResultBlock(msg)
const c = block.content
if (typeof c === 'string') return c
if (Array.isArray(c)) {
return c
.filter((b: any) => b.type === 'text')
.map((b: any) => b.text)
.join('\n')
}
return ''
}
// ---------- getTiers ----------
test('getTiers: < 16k window → recent=2, mid=3', () => {
expect(getTiers(8_000)).toEqual({ recent: 2, mid: 3 })
})
test('getTiers: 16k32k → recent=3, mid=5', () => {
expect(getTiers(20_000)).toEqual({ recent: 3, mid: 5 })
})
test('getTiers: 32k64k → recent=4, mid=8', () => {
expect(getTiers(48_000)).toEqual({ recent: 4, mid: 8 })
})
test('getTiers: 64k128k (Copilot gpt-4o) → recent=5, mid=10', () => {
expect(getTiers(100_000)).toEqual({ recent: 5, mid: 10 })
})
test('getTiers: 128k256k (Copilot Claude) → recent=8, mid=15', () => {
expect(getTiers(200_000)).toEqual({ recent: 8, mid: 15 })
})
test('getTiers: 256k500k → recent=12, mid=25', () => {
expect(getTiers(400_000)).toEqual({ recent: 12, mid: 25 })
})
test('getTiers: ≥ 500k (gpt-4.1 1M) → recent=25, mid=50', () => {
expect(getTiers(1_000_000)).toEqual({ recent: 25, mid: 50 })
})
// ---------- master switch ----------
test('pass-through when toolHistoryCompressionEnabled is false', () => {
mockState.enabled = false
const messages = buildConversation(20)
const result = compressToolHistory(messages, 'gpt-4o')
expect(result).toBe(messages) // same reference (no transformation)
})
test('pass-through when total tool_results <= recent tier', () => {
// 100k effective → recent=5; only 4 exchanges → no compression
const messages = buildConversation(4)
const result = compressToolHistory(messages, 'gpt-4o')
expect(result).toBe(messages)
})
// ---------- per-tier behavior ----------
test('recent tier: tool_result content untouched', () => {
// 100k effective → recent=5, mid=10. With 6 exchanges, only the oldest is touched.
const messages = buildConversation(6, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// Last 5 should be untouched (full 5000 chars)
for (let i = resultMsgs.length - 5; i < resultMsgs.length; i++) {
expect(getResultText(resultMsgs[i]).length).toBe(5_000)
}
})
test('mid tier: long content truncated to MID_MAX_CHARS with marker', () => {
// 100k → recent=5, mid=10. 10 exchanges: 5 recent + 5 mid (none old).
const messages = buildConversation(10, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// First 5 are mid tier — should be truncated to ~2000 chars + marker
for (let i = 0; i < 5; i++) {
const text = getResultText(resultMsgs[i])
expect(text).toContain('[…truncated')
expect(text).toContain('chars from tool history]')
// Should be roughly 2000 chars + marker (under 2200)
expect(text.length).toBeLessThan(2_200)
expect(text.length).toBeGreaterThan(2_000)
}
})
test('mid tier: short content (< MID_MAX_CHARS) untouched', () => {
const messages = buildConversation(10, 500) // 500 < MID_MAX_CHARS
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
for (let i = 0; i < 5; i++) {
expect(getResultText(resultMsgs[i])).toBe(bigText(500))
}
})
test('old tier: content replaced with stub [name args={...} → N chars omitted]', () => {
// 100k → recent=5, mid=10, old=rest. 20 exchanges → 5 old + 10 mid + 5 recent.
const messages = buildConversation(20, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// First 5 are old tier — should be stubs
for (let i = 0; i < 5; i++) {
const text = getResultText(resultMsgs[i])
expect(text).toMatch(/^\[Read args=\{.*\} → 5000 chars omitted\]$/)
}
})
test('old tier: stub args truncated to 200 chars', () => {
const longArg = bigText(500)
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [
{
type: 'tool_use',
id: 'toolu_x',
name: 'Bash',
input: { command: longArg },
},
],
},
{
role: 'user',
content: [
{ type: 'tool_result', tool_use_id: 'toolu_x', content: 'output' },
],
},
// Pad with enough recent exchanges to push the above into old tier
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
const text = getResultText(resultMsgs[0])
// Stub format: [Bash args=<json≤200chars> → N chars omitted]
// The args portion (between args= and →) must be ≤ 200 chars.
const argsMatch = text.match(/args=(.*?) →/)
expect(argsMatch).not.toBeNull()
expect(argsMatch![1].length).toBeLessThanOrEqual(200)
})
test('old tier: orphan tool_result (no matching tool_use) falls back to "tool"', () => {
const messages: Msg[] = [
{ role: 'user', content: 'start' },
// Orphan: tool_result without matching tool_use in history
{
role: 'user',
content: [
{ type: 'tool_result', tool_use_id: 'orphan_id', content: 'data' },
],
},
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
const text = getResultText(resultMsgs[0])
expect(text).toMatch(/^\[tool args=\{\} → 4 chars omitted\]$/)
})
// ---------- structural preservation ----------
test('tool_use blocks always preserved', () => {
const messages = buildConversation(20, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const useCount = (msgs: Msg[]) =>
msgs.reduce((sum, m) => {
if (!Array.isArray(m.content)) return sum
return sum + m.content.filter((b: any) => b.type === 'tool_use').length
}, 0)
expect(useCount(result as Msg[])).toBe(useCount(messages))
})
test('text blocks always preserved', () => {
const messages: Msg[] = [
{ role: 'user', content: 'first' },
{
role: 'assistant',
content: [
{ type: 'text', text: 'reasoning before tool' },
{ type: 'tool_use', id: 'toolu_1', name: 'Read', input: {} },
],
},
{
role: 'user',
content: [{ type: 'tool_result', tool_use_id: 'toolu_1', content: bigText(5000) }],
},
...buildConversation(20, 5_000).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const assistantMsg = (result as Msg[])[1]
const textBlock = (assistantMsg.content as Block[]).find((b: any) => b.type === 'text')
expect(textBlock).toEqual({ type: 'text', text: 'reasoning before tool' })
})
test('thinking blocks always preserved', () => {
const messages: Msg[] = [
{ role: 'user', content: 'first' },
{
role: 'assistant',
content: [
{ type: 'thinking', thinking: 'internal reasoning', signature: 'sig' },
{ type: 'tool_use', id: 'toolu_1', name: 'Read', input: {} },
],
},
{
role: 'user',
content: [{ type: 'tool_result', tool_use_id: 'toolu_1', content: bigText(5000) }],
},
...buildConversation(20, 5_000).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const assistantMsg = (result as Msg[])[1]
const thinking = (assistantMsg.content as Block[]).find((b: any) => b.type === 'thinking')
expect(thinking).toEqual({
type: 'thinking',
thinking: 'internal reasoning',
signature: 'sig',
})
})
test('non-array content (string) handled gracefully', () => {
const messages: Msg[] = [
{ role: 'user', content: 'plain string content' },
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
expect((result as Msg[])[0].content).toBe('plain string content')
})
test('empty content array handled gracefully', () => {
const messages: Msg[] = [
{ role: 'user', content: [] },
...buildConversation(20, 100).slice(1),
]
expect(() => compressToolHistory(messages, 'gpt-4o')).not.toThrow()
})
// ---------- message shape compatibility ----------
test('wrapped shape ({ message: { role, content } }) handled', () => {
type WrappedMsg = { message: { role: string; content: Block[] | string } }
const wrap = (m: Msg): WrappedMsg => ({ message: { role: m.role, content: m.content } })
const messages = buildConversation(20, 5_000).map(wrap)
const result = compressToolHistory(messages as any, 'gpt-4o')
// First wrapped tool-result message should have stub content (old tier)
const firstResultMsg = (result as WrappedMsg[]).find(
m =>
Array.isArray(m.message.content) &&
m.message.content.some((b: any) => b.type === 'tool_result'),
)
const block = (firstResultMsg!.message.content as Block[]).find(
(b: any) => b.type === 'tool_result',
) as Block
const text = ((block.content as Block[])[0] as any).text
expect(text).toMatch(/^\[Read args=.*→ 5000 chars omitted\]$/)
})
test('flat shape ({ role, content }) handled', () => {
const messages = buildConversation(20, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
expect(getResultText(resultMsgs[0])).toMatch(/^\[Read args=.*→ 5000 chars omitted\]$/)
})
// ---------- tier boundary correctness ----------
test('tier boundaries: 6 exchanges → 1 mid + 5 recent (recent=5)', () => {
const messages = buildConversation(6, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// Oldest: mid (truncated)
expect(getResultText(resultMsgs[0])).toContain('[…truncated')
// Last 5: untouched
for (let i = 1; i < 6; i++) {
expect(getResultText(resultMsgs[i]).length).toBe(5_000)
}
})
test('tier boundaries: 16 exchanges → 1 old + 10 mid + 5 recent', () => {
const messages = buildConversation(16, 5_000)
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// Oldest 1: stub (old tier)
expect(getResultText(resultMsgs[0])).toMatch(/^\[Read .*chars omitted\]$/)
// Next 10: mid (truncated)
for (let i = 1; i < 11; i++) {
expect(getResultText(resultMsgs[i])).toContain('[…truncated')
}
// Last 5: untouched
for (let i = 11; i < 16; i++) {
expect(getResultText(resultMsgs[i]).length).toBe(5_000)
}
})
test('large window (1M) with 30 exchanges: all untouched (recent=25 ≥ 30 - 5)', () => {
// ≥500k → recent=25, mid=50. 30 exchanges → 5 mid + 25 recent. None old.
mockState.effectiveWindow = 1_000_000
const messages = buildConversation(30, 5_000)
const result = compressToolHistory(messages, 'gpt-4.1')
const resultMsgs = getResultMessages(result)
// Last 25: untouched
for (let i = 5; i < 30; i++) {
expect(getResultText(resultMsgs[i]).length).toBe(5_000)
}
})
// ---------- attribute preservation ----------
test('is_error flag preserved in mid tier', () => {
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [{ type: 'tool_use', id: 'toolu_err', name: 'Bash', input: {} }],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'toolu_err',
is_error: true,
content: bigText(5_000),
},
],
},
// Pad with enough recent exchanges to push the above into MID tier
...buildConversation(10, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
const block = getResultBlock(resultMsgs[0]) as { is_error?: boolean; content: unknown }
expect(block.is_error).toBe(true)
expect(getResultText(resultMsgs[0])).toContain('[…truncated')
})
test('is_error flag preserved in old tier (stub)', () => {
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [{ type: 'tool_use', id: 'toolu_err', name: 'Bash', input: {} }],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'toolu_err',
is_error: true,
content: bigText(5_000),
},
],
},
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
const block = getResultBlock(resultMsgs[0]) as { is_error?: boolean; content: unknown }
expect(block.is_error).toBe(true)
expect(getResultText(resultMsgs[0])).toMatch(/^\[Bash .*chars omitted\]$/)
})
// ---------- COMPACTABLE_TOOLS filter ----------
test('non-compactable tool (e.g. Task/Agent) is NEVER compressed', () => {
// Build conversation where the OLDEST exchange uses a non-compactable tool name
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [
{ type: 'tool_use', id: 'task_1', name: 'Task', input: { goal: 'plan' } },
],
},
{
role: 'user',
content: [
{ type: 'tool_result', tool_use_id: 'task_1', content: bigText(5_000) },
],
},
// Pad with 20 compactable exchanges to push Task into old tier
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// First tool_result is for Task (non-compactable) → must remain full
expect(getResultText(resultMsgs[0]).length).toBe(5_000)
expect(getResultText(resultMsgs[0])).not.toContain('chars omitted')
expect(getResultText(resultMsgs[0])).not.toContain('[…truncated')
})
test('mcp__ prefixed tools ARE compactable (matches microCompact behavior)', () => {
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [
{ type: 'tool_use', id: 'mcp_1', name: 'mcp__github__get_issue', input: {} },
],
},
{
role: 'user',
content: [
{ type: 'tool_result', tool_use_id: 'mcp_1', content: bigText(5_000) },
],
},
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// MCP tool result is compressed (gets stub since it's in old tier)
expect(getResultText(resultMsgs[0])).toMatch(/^\[mcp__github__get_issue .*chars omitted\]$/)
})
// ---------- skip already-cleared blocks ----------
test('blocks already cleared by microCompact are NOT re-compressed', () => {
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [{ type: 'tool_use', id: 'cleared_1', name: 'Read', input: {} }],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'cleared_1',
content: '[Old tool result content cleared]', // microCompact's marker
},
],
},
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
// Already-cleared marker survives untouched (no double processing)
expect(getResultText(resultMsgs[0])).toBe('[Old tool result content cleared]')
})
test('extra block attributes (e.g. cache_control) preserved across rewrites', () => {
const cacheControl = { type: 'ephemeral' }
const messages: Msg[] = [
{ role: 'user', content: 'start' },
{
role: 'assistant',
content: [{ type: 'tool_use', id: 'toolu_cc', name: 'Read', input: {} }],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'toolu_cc',
cache_control: cacheControl,
content: bigText(5_000),
},
],
},
...buildConversation(20, 100).slice(1),
]
const result = compressToolHistory(messages, 'gpt-4o')
const resultMsgs = getResultMessages(result)
const block = getResultBlock(resultMsgs[0]) as { cache_control?: unknown }
// The custom attribute survived the stub rewrite via ...block spread
expect(block.cache_control).toEqual(cacheControl)
})

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/**
* Compresses old tool_result content for stateless OpenAI-compatible providers
* (Copilot, Mistral, Ollama). Preserves all conversation structure — tool_use,
* tool_result pairing, text, thinking, and is_error all survive intact. Only
* the BULK text of older tool_results is shrunk to delay context saturation.
*
* Tier sizes scale with the model's effective context window via
* getEffectiveContextWindowSize() — same calculation used by auto-compact, so
* the two systems stay aligned.
*
* Complements (does not replace) microCompact.ts:
* - microCompact: time/cache-based, runs from query.ts, binary clear/keep,
* limited to Claude (cache editing) or idle gaps (time-based).
* - compressToolHistory: size-based, runs at the shim layer, tiered
* compression, covers the gap for active sessions on non-Claude providers.
*
* Reuses isCompactableTool from microCompact to avoid touching tools the
* project already classifies as unsafe to compress (e.g. Task, Agent).
* Skips blocks already cleared by microCompact (TOOL_RESULT_CLEARED_MESSAGE).
*
* Anthropic native bypasses both shims, so it is unaffected by this module.
*/
import { getEffectiveContextWindowSize } from '../compact/autoCompact.js'
import { isCompactableTool } from '../compact/microCompact.js'
import { TOOL_RESULT_CLEARED_MESSAGE } from '../../utils/toolResultStorage.js'
import { getGlobalConfig } from '../../utils/config.js'
// Mid-tier truncation budget. 2k chars ≈ 500 tokens, enough to preserve the
// shape of most tool outputs (file headers, command stderr, top grep hits)
// without ballooning context. Bump too high and the tier loses its purpose.
const MID_MAX_CHARS = 2_000
// Stub args budget. JSON.stringify of a typical tool input fits in 200 chars
// (file paths, short commands, small queries). Long inputs are rare and clamping
// here keeps the stub size bounded even when callers pass oversized arguments.
const STUB_ARGS_MAX_CHARS = 200
type AnyMessage = {
role?: string
message?: { role?: string; content?: unknown }
content?: unknown
}
type ToolResultBlock = {
type: 'tool_result'
tool_use_id?: string
is_error?: boolean
content?: unknown
}
type ToolUseBlock = {
type: 'tool_use'
id?: string
name?: string
input?: unknown
}
type Tiers = { recent: number; mid: number }
// Tier sizes scale with effective window. Targets roughly:
// - recent tier stays under ~25% of available window (full fidelity kept)
// - recent + mid tier stays under ~50% of available window (bounded bulk)
// - everything older collapses to ~15-token stubs
// Values assume ~5KB avg tool_result, which matches the Copilot default case
// (parallel_tool_calls=true means multiple Read/Bash outputs per turn). For
// ≥ 500k models the tiers are so generous that compression is effectively
// inert for any realistic session — see compressToolHistory.test.ts.
export function getTiers(effectiveWindow: number): Tiers {
if (effectiveWindow < 16_000) return { recent: 2, mid: 3 }
if (effectiveWindow < 32_000) return { recent: 3, mid: 5 }
if (effectiveWindow < 64_000) return { recent: 4, mid: 8 }
if (effectiveWindow < 128_000) return { recent: 5, mid: 10 }
if (effectiveWindow < 256_000) return { recent: 8, mid: 15 }
if (effectiveWindow < 500_000) return { recent: 12, mid: 25 }
return { recent: 25, mid: 50 }
}
function extractText(content: unknown): string {
if (typeof content === 'string') return content
if (Array.isArray(content)) {
return content
.filter(
(b: { type?: string; text?: string }) =>
b?.type === 'text' && typeof b.text === 'string',
)
.map((b: { text?: string }) => b.text ?? '')
.join('\n')
}
return ''
}
// Old-tier compression strategy. Replaces content entirely with a one-line
// metadata marker ~10× more token-efficient than a 500-char truncation AND
// unambiguous — partial truncations can look authoritative to the model. The
// stub format encodes tool name + args so the model can re-invoke the same
// tool if it needs the omitted output back.
function buildStub(
block: ToolResultBlock,
toolUsesById: Map<string, ToolUseBlock>,
): ToolResultBlock {
const original = extractText(block.content)
const toolUse = toolUsesById.get(block.tool_use_id ?? '')
const name = toolUse?.name ?? 'tool'
const args = toolUse?.input
? JSON.stringify(toolUse.input).slice(0, STUB_ARGS_MAX_CHARS)
: '{}'
return {
...block,
content: [
{
type: 'text',
text: `[${name} args=${args}${original.length} chars omitted]`,
},
],
}
}
// Mid-tier compression. The trailing marker is load-bearing: without it, the
// model can't distinguish "tool returned 2000 chars" from "tool returned 20k
// chars that we cut to 2000". Distinguishing those matters for the model's
// decision to re-invoke the tool.
function truncateBlock(
block: ToolResultBlock,
maxChars: number,
): ToolResultBlock {
const text = extractText(block.content)
if (text.length <= maxChars) return block
const omitted = text.length - maxChars
return {
...block,
content: [
{
type: 'text',
text: `${text.slice(0, maxChars)}\n[…truncated ${omitted} chars from tool history]`,
},
],
}
}
function getInner(msg: AnyMessage): { role?: string; content?: unknown } {
return (msg.message ?? msg) as { role?: string; content?: unknown }
}
function indexToolUses(messages: AnyMessage[]): Map<string, ToolUseBlock> {
const map = new Map<string, ToolUseBlock>()
for (const msg of messages) {
const content = getInner(msg).content
if (!Array.isArray(content)) continue
for (const b of content as Array<{ type?: string; id?: string }>) {
if (b?.type === 'tool_use' && b.id) {
map.set(b.id, b as ToolUseBlock)
}
}
}
return map
}
function indexToolResultMessages(messages: AnyMessage[]): number[] {
const indices: number[] = []
for (let i = 0; i < messages.length; i++) {
const inner = getInner(messages[i])
const role = inner.role ?? messages[i].role
const content = inner.content
if (
role === 'user' &&
Array.isArray(content) &&
content.some((b: { type?: string }) => b?.type === 'tool_result')
) {
indices.push(i)
}
}
return indices
}
function rewriteMessage<T extends AnyMessage>(
msg: T,
newContent: unknown[],
): T {
if (msg.message) {
return { ...msg, message: { ...msg.message, content: newContent } }
}
return { ...msg, content: newContent }
}
// microCompact.maybeTimeBasedMicrocompact may have already replaced old
// tool_result content with TOOL_RESULT_CLEARED_MESSAGE before we see it.
// Re-compressing produces a stub over a marker (e.g. `[Read args={} → 40
// chars omitted]`), wasteful and less informative than the canonical marker.
function isAlreadyCleared(block: ToolResultBlock): boolean {
const text = extractText(block.content)
return text === TOOL_RESULT_CLEARED_MESSAGE
}
function shouldCompressBlock(
block: ToolResultBlock,
toolUsesById: Map<string, ToolUseBlock>,
): boolean {
if (isAlreadyCleared(block)) return false
const toolUse = toolUsesById.get(block.tool_use_id ?? '')
// Unknown tool name (orphan tool_result with no matching tool_use) falls
// through to compression with a generic "tool" stub. Safer default: the
// original tool_use vanished so there's no downstream use for the output.
if (!toolUse?.name) return true
// Respect microCompact's curated safe-to-compress set (Read/Bash/Grep/…/
// mcp__*) so user-facing flow tools (Task, Agent, custom) stay intact.
return isCompactableTool(toolUse.name)
}
export function compressToolHistory<T extends AnyMessage>(
messages: T[],
model: string,
): T[] {
// Master kill-switch. Returns the original reference so callers skip a
// defensive copy when the feature is disabled.
if (!getGlobalConfig().toolHistoryCompressionEnabled) return messages
const tiers = getTiers(getEffectiveContextWindowSize(model))
const toolResultIndices = indexToolResultMessages(messages)
const total = toolResultIndices.length
// If every tool-result fits in the recent tier, no boundary crosses; return
// the same reference for the same copy-elision reason.
if (total <= tiers.recent) return messages
// O(1) lookup: messageIndex → tool-result position (0 = oldest). Replaces
// the naive Array.indexOf(i) that was O(n²) across the .map below.
const positionByIndex = new Map<number, number>()
for (let pos = 0; pos < toolResultIndices.length; pos++) {
positionByIndex.set(toolResultIndices[pos], pos)
}
const toolUsesById = indexToolUses(messages)
return messages.map((msg, i) => {
const pos = positionByIndex.get(i)
if (pos === undefined) return msg
const fromEnd = total - 1 - pos
if (fromEnd < tiers.recent) return msg
const inMidWindow = fromEnd < tiers.recent + tiers.mid
const content = getInner(msg).content as unknown[]
const newContent = content.map(block => {
const b = block as { type?: string }
if (b?.type !== 'tool_result') return block
const tr = block as ToolResultBlock
if (!shouldCompressBlock(tr, toolUsesById)) return block
return inMidWindow
? truncateBlock(tr, MID_MAX_CHARS)
: buildStub(tr, toolUsesById)
})
return rewriteMessage(msg, newContent)
})
}

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import { APIError } from '@anthropic-ai/sdk'
import { expect, test } from 'bun:test'
import { getAssistantMessageFromError } from './errors.js'
function getFirstText(message: ReturnType<typeof getAssistantMessageFromError>): string {
const first = message.message.content[0]
if (!first || typeof first !== 'object' || !('text' in first)) {
return ''
}
return typeof first.text === 'string' ? first.text : ''
}
test('maps endpoint_not_found category markers to actionable setup guidance', () => {
const error = APIError.generate(
404,
undefined,
'OpenAI API error 404: Not Found [openai_category=endpoint_not_found] Hint: Confirm OPENAI_BASE_URL includes /v1.',
new Headers(),
)
const message = getAssistantMessageFromError(error, 'qwen2.5-coder:7b')
const text = getFirstText(message)
expect(message.isApiErrorMessage).toBe(true)
expect(text).toContain('Provider endpoint was not found')
expect(text).toContain('OPENAI_BASE_URL')
expect(text).toContain('/v1')
})
test('maps tool_call_incompatible category markers to model/tool guidance', () => {
const error = APIError.generate(
400,
undefined,
'OpenAI API error 400: tool_calls are not supported [openai_category=tool_call_incompatible]',
new Headers(),
)
const message = getAssistantMessageFromError(error, 'qwen2.5-coder:7b')
const text = getFirstText(message)
expect(text).toContain('rejected tool-calling payloads')
expect(text).toContain('/model')
})

View File

@@ -50,9 +50,110 @@ import {
} from '../claudeAiLimits.js'
import { shouldProcessRateLimits } from '../rateLimitMocking.js' // Used for /mock-limits command
import { extractConnectionErrorDetails, formatAPIError } from './errorUtils.js'
import {
extractOpenAICategoryMarker,
type OpenAICompatibilityFailureCategory,
} from './openaiErrorClassification.js'
export const API_ERROR_MESSAGE_PREFIX = 'API Error'
function stripOpenAICompatibilityMetadata(message: string): string {
return message
.replace(/\s*\[openai_category=[a-z_]+\]\s*/g, ' ')
.replace(/\s{2,}/g, ' ')
.trim()
}
function mapOpenAICompatibilityFailureToAssistantMessage(options: {
category: OpenAICompatibilityFailureCategory
model: string
rawMessage: string
}): AssistantMessage {
const switchCmd = getIsNonInteractiveSession() ? '--model' : '/model'
const compactHint = getIsNonInteractiveSession()
? 'Reduce prompt size or start a new session.'
: 'Run /compact or start a new session with /new.'
switch (options.category) {
case 'localhost_resolution_failed':
case 'connection_refused':
return createAssistantAPIErrorMessage({
content:
'Could not connect to the local OpenAI-compatible provider. Ensure the local server is running, then use OPENAI_BASE_URL=http://127.0.0.1:11434/v1 for Ollama.',
error: 'unknown',
})
case 'endpoint_not_found':
return createAssistantAPIErrorMessage({
content:
'Provider endpoint was not found. Confirm OPENAI_BASE_URL targets an OpenAI-compatible /v1 endpoint (for Ollama: http://127.0.0.1:11434/v1).',
error: 'invalid_request',
})
case 'model_not_found':
return createAssistantAPIErrorMessage({
content: `The selected model (${options.model}) is not available on this provider. Run ${switchCmd} to choose another model, or verify installed local models (for Ollama: ollama list).`,
error: 'invalid_request',
})
case 'auth_invalid':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: Authentication failed for your OpenAI-compatible provider. Verify OPENAI_API_KEY and endpoint-specific auth requirements.`,
error: 'authentication_failed',
})
case 'rate_limited':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: Provider rate limit reached. Retry in a few seconds.`,
error: 'rate_limit',
})
case 'request_timeout':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: Provider request timed out. Local models may be loading or overloaded; retry shortly or increase API_TIMEOUT_MS.`,
error: 'unknown',
})
case 'context_overflow':
return createAssistantAPIErrorMessage({
content: `The conversation exceeded the provider context limit. ${compactHint}`,
error: 'invalid_request',
})
case 'tool_call_incompatible':
return createAssistantAPIErrorMessage({
content: `The selected provider/model rejected tool-calling payloads. Try ${switchCmd} to pick a tool-capable model or continue without tools.`,
error: 'invalid_request',
})
case 'malformed_provider_response':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: Provider returned a malformed response. Confirm endpoint compatibility and check local proxy/network middleware.`,
error: 'unknown',
errorDetails: stripOpenAICompatibilityMetadata(options.rawMessage),
})
case 'provider_unavailable':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: Provider is temporarily unavailable. Retry in a moment.`,
error: 'unknown',
})
case 'network_error':
case 'unknown':
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: ${stripOpenAICompatibilityMetadata(options.rawMessage)}`,
error: 'unknown',
})
default:
return createAssistantAPIErrorMessage({
content: `${API_ERROR_MESSAGE_PREFIX}: ${stripOpenAICompatibilityMetadata(options.rawMessage)}`,
error: 'unknown',
})
}
}
export function startsWithApiErrorPrefix(text: string): boolean {
return (
text.startsWith(API_ERROR_MESSAGE_PREFIX) ||
@@ -457,6 +558,19 @@ export function getAssistantMessageFromError(
})
}
// OpenAI-compatible transport and HTTP failures include structured category
// markers from openaiShim.ts for actionable end-user remediation.
if (error instanceof APIError) {
const openaiCategory = extractOpenAICategoryMarker(error.message)
if (openaiCategory) {
return mapOpenAICompatibilityFailureToAssistantMessage({
category: openaiCategory,
model,
rawMessage: error.message,
})
}
}
// Check for emergency capacity off switch for Opus PAYG users
if (
error instanceof Error &&

View File

@@ -0,0 +1,86 @@
import { afterEach, beforeEach, expect, test } from 'bun:test'
import { _resetKeepAliveForTesting } from '../../utils/proxy.js'
import {
fetchWithProxyRetry,
isRetryableFetchError,
} from './fetchWithProxyRetry.js'
type FetchType = typeof globalThis.fetch
const originalFetch = globalThis.fetch
const originalEnv = {
HTTP_PROXY: process.env.HTTP_PROXY,
HTTPS_PROXY: process.env.HTTPS_PROXY,
}
function restoreEnv(key: 'HTTP_PROXY' | 'HTTPS_PROXY', value: string | undefined): void {
if (value === undefined) {
delete process.env[key]
} else {
process.env[key] = value
}
}
beforeEach(() => {
process.env.HTTP_PROXY = 'http://127.0.0.1:15236'
delete process.env.HTTPS_PROXY
_resetKeepAliveForTesting()
})
afterEach(() => {
globalThis.fetch = originalFetch
restoreEnv('HTTP_PROXY', originalEnv.HTTP_PROXY)
restoreEnv('HTTPS_PROXY', originalEnv.HTTPS_PROXY)
_resetKeepAliveForTesting()
})
test('isRetryableFetchError matches Bun socket-closed failures', () => {
expect(
isRetryableFetchError(
new Error(
'The socket connection was closed unexpectedly. For more information, pass `verbose: true` in the second argument to fetch()',
),
),
).toBe(true)
})
test('fetchWithProxyRetry retries once with keepalive disabled after socket closure', async () => {
const calls: Array<RequestInit | undefined> = []
globalThis.fetch = (async (_input, init) => {
calls.push(init)
if (calls.length === 1) {
throw new Error(
'The socket connection was closed unexpectedly. For more information, pass `verbose: true` in the second argument to fetch()',
)
}
return new Response('ok')
}) as FetchType
const response = await fetchWithProxyRetry('https://example.com/search', {
method: 'POST',
})
expect(await response.text()).toBe('ok')
expect(calls).toHaveLength(2)
expect((calls[0] as RequestInit & { proxy?: string }).proxy).toBe(
'http://127.0.0.1:15236',
)
expect((calls[0] as RequestInit).keepalive).toBeUndefined()
expect((calls[1] as RequestInit).keepalive).toBe(false)
})
test('fetchWithProxyRetry does not retry non-network errors', async () => {
let attempts = 0
globalThis.fetch = (async () => {
attempts += 1
throw new Error('400 bad request')
}) as FetchType
await expect(fetchWithProxyRetry('https://example.com')).rejects.toThrow(
'400 bad request',
)
expect(attempts).toBe(1)
})

View File

@@ -0,0 +1,44 @@
import { disableKeepAlive, getProxyFetchOptions } from '../../utils/proxy.js'
const RETRYABLE_FETCH_ERROR_PATTERN =
/socket connection was closed unexpectedly|ECONNRESET|EPIPE|socket hang up|Connection reset by peer|fetch failed/i
export function isRetryableFetchError(error: unknown): boolean {
if (!(error instanceof Error)) {
return false
}
if (error.name === 'AbortError') {
return false
}
return RETRYABLE_FETCH_ERROR_PATTERN.test(error.message)
}
export async function fetchWithProxyRetry(
input: string | URL | Request,
init?: RequestInit,
options?: { forAnthropicAPI?: boolean; maxAttempts?: number },
): Promise<Response> {
const maxAttempts = Math.max(1, options?.maxAttempts ?? 2)
let lastError: unknown
for (let attempt = 1; attempt <= maxAttempts; attempt++) {
try {
return await fetch(input, {
...init,
...getProxyFetchOptions({
forAnthropicAPI: options?.forAnthropicAPI,
}),
})
} catch (error) {
lastError = error
if (attempt >= maxAttempts || !isRetryableFetchError(error)) {
throw error
}
disableKeepAlive()
}
}
throw lastError instanceof Error
? lastError
: new Error('Fetch failed without an error object')
}

View File

@@ -0,0 +1,97 @@
import { expect, test } from 'bun:test'
import {
buildOpenAICompatibilityErrorMessage,
classifyOpenAIHttpFailure,
classifyOpenAINetworkFailure,
extractOpenAICategoryMarker,
formatOpenAICategoryMarker,
} from './openaiErrorClassification.js'
test('classifies localhost ECONNREFUSED as connection_refused', () => {
const error = Object.assign(new TypeError('fetch failed'), {
code: 'ECONNREFUSED',
})
const failure = classifyOpenAINetworkFailure(error, {
url: 'http://localhost:11434/v1/chat/completions',
})
expect(failure.category).toBe('connection_refused')
expect(failure.retryable).toBe(true)
expect(failure.code).toBe('ECONNREFUSED')
expect(failure.hint).toContain('local server is running')
})
test('classifies localhost ENOTFOUND as localhost_resolution_failed', () => {
const error = Object.assign(new TypeError('getaddrinfo ENOTFOUND localhost'), {
code: 'ENOTFOUND',
})
const failure = classifyOpenAINetworkFailure(error, {
url: 'http://localhost:11434/v1/chat/completions',
})
expect(failure.category).toBe('localhost_resolution_failed')
expect(failure.retryable).toBe(true)
expect(failure.code).toBe('ENOTFOUND')
expect(failure.hint).toContain('127.0.0.1')
})
test('classifies model-not-found 404 responses', () => {
const failure = classifyOpenAIHttpFailure({
status: 404,
body: 'The model qwen2.5-coder:7b was not found',
})
expect(failure.category).toBe('model_not_found')
expect(failure.retryable).toBe(false)
})
test('classifies generic 404 responses as endpoint_not_found', () => {
const failure = classifyOpenAIHttpFailure({
status: 404,
body: 'Not Found',
})
expect(failure.category).toBe('endpoint_not_found')
expect(failure.hint).toContain('/v1')
})
test('classifies context-overflow responses', () => {
const failure = classifyOpenAIHttpFailure({
status: 500,
body: 'request too large: maximum context length exceeded',
})
expect(failure.category).toBe('context_overflow')
expect(failure.retryable).toBe(false)
})
test('classifies tool compatibility failures', () => {
const failure = classifyOpenAIHttpFailure({
status: 400,
body: 'tool_calls are not supported by this model',
})
expect(failure.category).toBe('tool_call_incompatible')
})
test('embeds and extracts category markers in formatted messages', () => {
const marker = formatOpenAICategoryMarker('endpoint_not_found')
expect(marker).toBe('[openai_category=endpoint_not_found]')
const formatted = buildOpenAICompatibilityErrorMessage('OpenAI API error 404: Not Found', {
category: 'endpoint_not_found',
hint: 'Confirm OPENAI_BASE_URL includes /v1.',
})
expect(formatted).toContain('[openai_category=endpoint_not_found]')
expect(formatted).toContain('Hint: Confirm OPENAI_BASE_URL includes /v1.')
expect(extractOpenAICategoryMarker(formatted)).toBe('endpoint_not_found')
})
test('ignores unknown category markers during extraction', () => {
const malformed = 'OpenAI API error 500 [openai_category=totally_fake_category]'
expect(extractOpenAICategoryMarker(malformed)).toBeUndefined()
})

View File

@@ -0,0 +1,352 @@
export type OpenAICompatibilityFailureCategory =
| 'connection_refused'
| 'localhost_resolution_failed'
| 'request_timeout'
| 'network_error'
| 'auth_invalid'
| 'rate_limited'
| 'model_not_found'
| 'endpoint_not_found'
| 'context_overflow'
| 'tool_call_incompatible'
| 'malformed_provider_response'
| 'provider_unavailable'
| 'unknown'
export type OpenAICompatibilityFailure = {
source: 'network' | 'http'
category: OpenAICompatibilityFailureCategory
retryable: boolean
message: string
hint?: string
code?: string
status?: number
}
const OPENAI_CATEGORY_MARKER_PREFIX = '[openai_category='
const LOCALHOST_HOSTNAMES = new Set(['localhost', '127.0.0.1', '::1'])
const OPENAI_COMPATIBILITY_FAILURE_CATEGORIES: ReadonlySet<OpenAICompatibilityFailureCategory> =
new Set<OpenAICompatibilityFailureCategory>([
'connection_refused',
'localhost_resolution_failed',
'request_timeout',
'network_error',
'auth_invalid',
'rate_limited',
'model_not_found',
'endpoint_not_found',
'context_overflow',
'tool_call_incompatible',
'malformed_provider_response',
'provider_unavailable',
'unknown',
])
function isOpenAICompatibilityFailureCategory(
value: string,
): value is OpenAICompatibilityFailureCategory {
return OPENAI_COMPATIBILITY_FAILURE_CATEGORIES.has(
value as OpenAICompatibilityFailureCategory,
)
}
function getErrorCode(error: unknown): string | undefined {
let current: unknown = error
const maxDepth = 5
for (let depth = 0; depth < maxDepth; depth++) {
if (
current &&
typeof current === 'object' &&
'code' in current &&
typeof (current as { code?: unknown }).code === 'string'
) {
return (current as { code: string }).code
}
if (
current &&
typeof current === 'object' &&
'cause' in current &&
(current as { cause?: unknown }).cause !== current
) {
current = (current as { cause?: unknown }).cause
continue
}
break
}
return undefined
}
function getHostname(url: string): string | null {
try {
return new URL(url).hostname.toLowerCase()
} catch {
return null
}
}
function isLocalhostLikeHostname(hostname: string | null): boolean {
if (!hostname) return false
if (LOCALHOST_HOSTNAMES.has(hostname)) return true
return /^127\./.test(hostname)
}
function isContextOverflowMessage(body: string): boolean {
const lower = body.toLowerCase()
return (
lower.includes('too many tokens') ||
lower.includes('request too large') ||
lower.includes('context length') ||
lower.includes('maximum context') ||
lower.includes('input length') ||
lower.includes('payload too large') ||
lower.includes('prompt is too long')
)
}
function isToolCompatibilityMessage(body: string): boolean {
const lower = body.toLowerCase()
return (
lower.includes('tool_calls') ||
lower.includes('tool_call') ||
lower.includes('tool_use') ||
lower.includes('tool_result') ||
lower.includes('function calling') ||
lower.includes('function call')
)
}
function isMalformedProviderResponse(body: string): boolean {
const lower = body.toLowerCase()
return (
lower.includes('<!doctype html') ||
lower.includes('<html') ||
lower.includes('invalid json') ||
lower.includes('malformed') ||
lower.includes('unexpected token') ||
lower.includes('cannot parse') ||
lower.includes('not valid json')
)
}
function isModelNotFoundMessage(body: string): boolean {
const lower = body.toLowerCase()
return (
lower.includes('model') &&
(
lower.includes('not found') ||
lower.includes('does not exist') ||
lower.includes('unknown model') ||
lower.includes('unavailable model')
)
)
}
export function formatOpenAICategoryMarker(
category: OpenAICompatibilityFailureCategory,
): string {
return `${OPENAI_CATEGORY_MARKER_PREFIX}${category}]`
}
export function extractOpenAICategoryMarker(
message: string,
): OpenAICompatibilityFailureCategory | undefined {
const match = message.match(/\[openai_category=([a-z_]+)]/)
const category = match?.[1]
if (!category || !isOpenAICompatibilityFailureCategory(category)) {
return undefined
}
return category
}
export function buildOpenAICompatibilityErrorMessage(
baseMessage: string,
failure: Pick<OpenAICompatibilityFailure, 'category' | 'hint'>,
): string {
const marker = formatOpenAICategoryMarker(failure.category)
const hint = failure.hint ? ` Hint: ${failure.hint}` : ''
return `${baseMessage} ${marker}${hint}`
}
export function classifyOpenAINetworkFailure(
error: unknown,
options: { url: string },
): OpenAICompatibilityFailure {
const message = error instanceof Error ? error.message : String(error)
const lowerMessage = message.toLowerCase()
const code = getErrorCode(error)
const hostname = getHostname(options.url)
const isLocalHost = isLocalhostLikeHostname(hostname)
if (
code === 'ETIMEDOUT' ||
code === 'UND_ERR_CONNECT_TIMEOUT' ||
lowerMessage.includes('timeout') ||
lowerMessage.includes('timed out') ||
lowerMessage.includes('aborterror')
) {
return {
source: 'network',
category: 'request_timeout',
retryable: true,
message,
code,
hint: 'The provider took too long to respond. Check local model load time or increase API timeout.',
}
}
if (
isLocalHost &&
(
code === 'ENOTFOUND' ||
code === 'EAI_AGAIN' ||
lowerMessage.includes('getaddrinfo') ||
(code === undefined && lowerMessage.includes('fetch failed'))
)
) {
return {
source: 'network',
category: 'localhost_resolution_failed',
retryable: true,
message,
code,
hint: 'Localhost failed for this request. Retry with 127.0.0.1 and confirm Ollama is serving on the configured port.',
}
}
if (code === 'ECONNREFUSED') {
return {
source: 'network',
category: 'connection_refused',
retryable: true,
message,
code,
hint: isLocalHost
? 'Connection to the local provider was refused. Ensure the local server is running and listening on the configured port.'
: 'Connection was refused by the provider endpoint. Ensure the server is running and the port is correct.',
}
}
return {
source: 'network',
category: 'network_error',
retryable: true,
message,
code,
hint: 'Network transport failed before a provider response was received.',
}
}
export function classifyOpenAIHttpFailure(options: {
status: number
body: string
}): OpenAICompatibilityFailure {
const body = options.body ?? ''
if (options.status === 401 || options.status === 403) {
return {
source: 'http',
category: 'auth_invalid',
retryable: false,
status: options.status,
message: body,
hint: 'Authentication failed. Verify API key, token source, and endpoint-specific auth headers.',
}
}
if (options.status === 429) {
return {
source: 'http',
category: 'rate_limited',
retryable: true,
status: options.status,
message: body,
hint: 'Provider rate-limited the request. Retry after backoff.',
}
}
if (options.status === 404 && isModelNotFoundMessage(body)) {
return {
source: 'http',
category: 'model_not_found',
retryable: false,
status: options.status,
message: body,
hint: 'The selected model is not installed or not available on this endpoint.',
}
}
if (options.status === 404) {
return {
source: 'http',
category: 'endpoint_not_found',
retryable: false,
status: options.status,
message: body,
hint: 'Endpoint was not found. Confirm OPENAI_BASE_URL includes /v1 for OpenAI-compatible local providers.',
}
}
if (
options.status === 413 ||
((options.status === 400 || options.status >= 500) &&
isContextOverflowMessage(body))
) {
return {
source: 'http',
category: 'context_overflow',
retryable: false,
status: options.status,
message: body,
hint: 'Prompt context exceeded model/server limits. Reduce context or increase provider context length.',
}
}
if (options.status === 400 && isToolCompatibilityMessage(body)) {
return {
source: 'http',
category: 'tool_call_incompatible',
retryable: false,
status: options.status,
message: body,
hint: 'Provider/model rejected tool-calling payload. Retry without tools or use a tool-capable model.',
}
}
if (options.status >= 400 && isMalformedProviderResponse(body)) {
return {
source: 'http',
category: 'malformed_provider_response',
retryable: false,
status: options.status,
message: body,
hint: 'Provider returned malformed or non-JSON response where JSON was expected.',
}
}
if (options.status >= 500) {
return {
source: 'http',
category: 'provider_unavailable',
retryable: true,
status: options.status,
message: body,
hint: 'Provider reported a server-side failure. Retry after a short delay.',
}
}
return {
source: 'http',
category: 'unknown',
retryable: false,
status: options.status,
message: body,
}
}

View File

@@ -0,0 +1,317 @@
import { afterEach, beforeEach, expect, mock, test } from 'bun:test'
import { createOpenAIShimClient } from './openaiShim.js'
type FetchType = typeof globalThis.fetch
const originalFetch = globalThis.fetch
const originalEnv = {
OPENAI_BASE_URL: process.env.OPENAI_BASE_URL,
OPENAI_API_KEY: process.env.OPENAI_API_KEY,
OPENAI_MODEL: process.env.OPENAI_MODEL,
}
// Mock config + autoCompact so the shim sees deterministic state.
const mockState = {
enabled: true,
effectiveWindow: 100_000, // Copilot gpt-4o tier
}
mock.module('../../utils/config.js', () => ({
getGlobalConfig: () => ({
toolHistoryCompressionEnabled: mockState.enabled,
autoCompactEnabled: false,
}),
}))
mock.module('../compact/autoCompact.js', () => ({
getEffectiveContextWindowSize: () => mockState.effectiveWindow,
}))
type OpenAIShimClient = {
beta: {
messages: {
create: (
params: Record<string, unknown>,
options?: Record<string, unknown>,
) => Promise<unknown>
}
}
}
function bigText(n: number): string {
return 'A'.repeat(n)
}
function buildToolExchange(id: number, resultLength: number) {
return [
{
role: 'assistant',
content: [
{
type: 'tool_use',
id: `toolu_${id}`,
name: 'Read',
input: { file_path: `/path/to/file${id}.ts` },
},
],
},
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: `toolu_${id}`,
content: bigText(resultLength),
},
],
},
]
}
function buildLongConversation(numExchanges: number, resultLength = 5_000) {
const out: Array<{ role: string; content: unknown }> = [
{ role: 'user', content: 'start the work' },
]
for (let i = 0; i < numExchanges; i++) {
out.push(...buildToolExchange(i, resultLength))
}
return out
}
function makeFakeResponse(): Response {
return new Response(
JSON.stringify({
id: 'chatcmpl-1',
model: 'gpt-4o',
choices: [
{
message: { role: 'assistant', content: 'done' },
finish_reason: 'stop',
},
],
usage: { prompt_tokens: 8, completion_tokens: 2, total_tokens: 10 },
}),
{ headers: { 'Content-Type': 'application/json' } },
)
}
beforeEach(() => {
process.env.OPENAI_BASE_URL = 'http://example.test/v1'
process.env.OPENAI_API_KEY = 'test-key'
delete process.env.OPENAI_MODEL
mockState.enabled = true
mockState.effectiveWindow = 100_000
})
afterEach(() => {
if (originalEnv.OPENAI_BASE_URL === undefined) delete process.env.OPENAI_BASE_URL
else process.env.OPENAI_BASE_URL = originalEnv.OPENAI_BASE_URL
if (originalEnv.OPENAI_API_KEY === undefined) delete process.env.OPENAI_API_KEY
else process.env.OPENAI_API_KEY = originalEnv.OPENAI_API_KEY
if (originalEnv.OPENAI_MODEL === undefined) delete process.env.OPENAI_MODEL
else process.env.OPENAI_MODEL = originalEnv.OPENAI_MODEL
globalThis.fetch = originalFetch
})
async function captureRequestBody(
messages: Array<{ role: string; content: unknown }>,
model: string,
): Promise<Record<string, unknown>> {
let captured: Record<string, unknown> | undefined
globalThis.fetch = (async (_input, init) => {
captured = JSON.parse(String(init?.body))
return makeFakeResponse()
}) as FetchType
const client = createOpenAIShimClient({}) as OpenAIShimClient
await client.beta.messages.create({
model,
system: 'system prompt',
messages,
})
if (!captured) throw new Error('request not captured')
return captured
}
function getToolMessages(body: Record<string, unknown>): Array<{ content: string }> {
const messages = body.messages as Array<{ role: string; content: string }>
return messages.filter(m => m.role === 'tool')
}
function getAssistantToolCalls(body: Record<string, unknown>): unknown[] {
const messages = body.messages as Array<{
role: string
tool_calls?: unknown[]
}>
return messages
.filter(m => m.role === 'assistant' && Array.isArray(m.tool_calls))
.flatMap(m => m.tool_calls ?? [])
}
// ============================================================================
// BUG REPRO: without compression, full tool history is resent every turn
// ============================================================================
test('BUG REPRO: without compression, all 30 tool results are sent at full size', async () => {
mockState.enabled = false
const messages = buildLongConversation(30, 5_000)
const body = await captureRequestBody(messages, 'gpt-4o')
const toolMessages = getToolMessages(body)
const payloadSize = JSON.stringify(body).length
// All 30 tool results present, none truncated
expect(toolMessages.length).toBe(30)
for (const m of toolMessages) {
expect(m.content.length).toBeGreaterThanOrEqual(5_000)
expect(m.content).not.toContain('[…truncated')
expect(m.content).not.toContain('chars omitted')
}
// Total payload is large (~150KB raw) — this is the cost being paid every turn
expect(payloadSize).toBeGreaterThan(150_000)
})
// ============================================================================
// FIX: with compression, recent kept full, mid truncated, old stubbed
// ============================================================================
test('FIX: with compression on Copilot gpt-4o (tier 5/10/rest), 30 turns shrinks dramatically', async () => {
mockState.enabled = true
mockState.effectiveWindow = 100_000 // 64128k → recent=5, mid=10
const messages = buildLongConversation(30, 5_000)
const body = await captureRequestBody(messages, 'gpt-4o')
const toolMessages = getToolMessages(body)
const payloadSize = JSON.stringify(body).length
// Structure preserved: still 30 tool messages, no orphan tool_calls
expect(toolMessages.length).toBe(30)
expect(getAssistantToolCalls(body).length).toBe(30)
// Tier breakdown (oldest → newest):
// indices 0..14 → old tier (stubs)
// indices 15..24 → mid tier (truncated)
// indices 25..29 → recent (full)
for (let i = 0; i <= 14; i++) {
expect(toolMessages[i].content).toMatch(/^\[Read args=.*chars omitted\]$/)
}
for (let i = 15; i <= 24; i++) {
expect(toolMessages[i].content).toContain('[…truncated')
}
for (let i = 25; i <= 29; i++) {
expect(toolMessages[i].content.length).toBe(5_000)
expect(toolMessages[i].content).not.toContain('[…truncated')
expect(toolMessages[i].content).not.toContain('chars omitted')
}
// Significant reduction: from ~150KB to <60KB (10 mid×2KB + structure overhead)
expect(payloadSize).toBeLessThan(60_000)
})
// ============================================================================
// FIX: large-context model gets generous tiers — compression effectively inert
// ============================================================================
test('FIX: gpt-4.1 (1M context) with 25 exchanges keeps all full (recent tier=25)', async () => {
mockState.enabled = true
mockState.effectiveWindow = 1_000_000 // ≥500k → recent=25, mid=50
const messages = buildLongConversation(25, 5_000)
const body = await captureRequestBody(messages, 'gpt-4.1')
const toolMessages = getToolMessages(body)
expect(toolMessages.length).toBe(25)
for (const m of toolMessages) {
expect(m.content.length).toBe(5_000)
expect(m.content).not.toContain('[…truncated')
expect(m.content).not.toContain('chars omitted')
}
})
test('FIX: gpt-4.1 (1M context) with 30 exchanges → only first 5 mid-truncated', async () => {
mockState.enabled = true
mockState.effectiveWindow = 1_000_000 // recent=25, mid=50
const messages = buildLongConversation(30, 5_000)
const body = await captureRequestBody(messages, 'gpt-4.1')
const toolMessages = getToolMessages(body)
// 30 total: indices 0..4 mid, indices 5..29 recent
for (let i = 0; i < 5; i++) {
expect(toolMessages[i].content).toContain('[…truncated')
}
for (let i = 5; i < 30; i++) {
expect(toolMessages[i].content.length).toBe(5_000)
}
})
// ============================================================================
// FIX: stub preserves tool name and args — model can re-invoke if needed
// ============================================================================
test('FIX: stub format includes original tool name and arguments', async () => {
mockState.enabled = true
mockState.effectiveWindow = 100_000
const messages = buildLongConversation(30, 5_000)
const body = await captureRequestBody(messages, 'gpt-4o')
const toolMessages = getToolMessages(body)
const oldestStub = toolMessages[0].content
// Format: [<tool_name> args=<json> → <N> chars omitted]
expect(oldestStub).toMatch(/^\[Read /)
expect(oldestStub).toMatch(/file_path/)
expect(oldestStub).toMatch(/→ 5000 chars omitted\]$/)
})
// ============================================================================
// FIX: tool_use blocks (assistant tool_calls) are never modified
// ============================================================================
test('FIX: every tool_call retains its full id, name, and arguments', async () => {
mockState.enabled = true
mockState.effectiveWindow = 100_000
const messages = buildLongConversation(30, 5_000)
const body = await captureRequestBody(messages, 'gpt-4o')
const toolCalls = getAssistantToolCalls(body) as Array<{
id: string
function: { name: string; arguments: string }
}>
expect(toolCalls.length).toBe(30)
for (let i = 0; i < toolCalls.length; i++) {
expect(toolCalls[i].id).toBe(`toolu_${i}`)
expect(toolCalls[i].function.name).toBe('Read')
expect(JSON.parse(toolCalls[i].function.arguments)).toEqual({
file_path: `/path/to/file${i}.ts`,
})
}
})
// ============================================================================
// FIX: small-context provider (Mistral 32k) gets aggressive compression
// ============================================================================
test('FIX: 32k window (Mistral tier) → recent=3 keeps last 3 only', async () => {
mockState.enabled = true
mockState.effectiveWindow = 24_000 // 1632k → recent=3, mid=5
const messages = buildLongConversation(15, 3_000)
const body = await captureRequestBody(messages, 'mistral-large-latest')
const toolMessages = getToolMessages(body)
// 15 total: indices 0..6 old, 7..11 mid, 12..14 recent
for (let i = 0; i <= 6; i++) {
expect(toolMessages[i].content).toContain('chars omitted')
}
for (let i = 7; i <= 11; i++) {
expect(toolMessages[i].content).toContain('[…truncated')
}
for (let i = 12; i <= 14; i++) {
expect(toolMessages[i].content.length).toBe(3_000)
}
})

View File

@@ -0,0 +1,286 @@
import { afterEach, expect, mock, test } from 'bun:test'
const originalFetch = globalThis.fetch
const originalEnv = {
OPENAI_BASE_URL: process.env.OPENAI_BASE_URL,
OPENAI_API_KEY: process.env.OPENAI_API_KEY,
OPENAI_MODEL: process.env.OPENAI_MODEL,
}
function restoreEnv(key: string, value: string | undefined): void {
if (value === undefined) {
delete process.env[key]
} else {
process.env[key] = value
}
}
afterEach(() => {
globalThis.fetch = originalFetch
restoreEnv('OPENAI_BASE_URL', originalEnv.OPENAI_BASE_URL)
restoreEnv('OPENAI_API_KEY', originalEnv.OPENAI_API_KEY)
restoreEnv('OPENAI_MODEL', originalEnv.OPENAI_MODEL)
mock.restore()
})
test('logs classified transport diagnostics with category and code', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
const nonce = `${Date.now()}-${Math.random()}`
const { createOpenAIShimClient } = await import(`./openaiShim.ts?ts=${nonce}`)
process.env.OPENAI_BASE_URL = 'http://localhost:11434/v1'
process.env.OPENAI_API_KEY = 'ollama'
const transportError = Object.assign(new TypeError('fetch failed'), {
code: 'ECONNREFUSED',
})
globalThis.fetch = mock(async () => {
throw transportError
}) as typeof globalThis.fetch
const client = createOpenAIShimClient({}) as {
beta: {
messages: {
create: (params: Record<string, unknown>) => Promise<unknown>
}
}
}
await expect(
client.beta.messages.create({
model: 'qwen2.5-coder:7b',
messages: [{ role: 'user', content: 'hello' }],
max_tokens: 64,
stream: false,
}),
).rejects.toThrow('openai_category=connection_refused')
const transportLog = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' && call[0].includes('transport failure'),
)
expect(transportLog).toBeDefined()
expect(String(transportLog?.[0])).toContain('category=connection_refused')
expect(String(transportLog?.[0])).toContain('code=ECONNREFUSED')
expect(transportLog?.[1]).toEqual({ level: 'warn' })
})
test('redacts credentials in transport diagnostic URL logs', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
const nonce = `${Date.now()}-${Math.random()}`
const { createOpenAIShimClient } = await import(`./openaiShim.ts?ts=${nonce}`)
process.env.OPENAI_BASE_URL = 'http://user:supersecret@localhost:11434/v1'
process.env.OPENAI_API_KEY = 'supersecret'
const transportError = Object.assign(new TypeError('fetch failed'), {
code: 'ECONNREFUSED',
})
globalThis.fetch = mock(async () => {
throw transportError
}) as typeof globalThis.fetch
const client = createOpenAIShimClient({}) as {
beta: {
messages: {
create: (params: Record<string, unknown>) => Promise<unknown>
}
}
}
await expect(
client.beta.messages.create({
model: 'qwen2.5-coder:7b',
messages: [{ role: 'user', content: 'hello' }],
max_tokens: 64,
stream: false,
}),
).rejects.toThrow('openai_category=connection_refused')
const transportLog = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' && call[0].includes('transport failure'),
)
expect(transportLog).toBeDefined()
const logLine = String(transportLog?.[0])
expect(logLine).toContain('url=http://redacted:redacted@localhost:11434/v1/chat/completions')
expect(logLine).not.toContain('user:supersecret')
expect(logLine).not.toContain('supersecret@')
})
test('logs self-heal localhost fallback with redacted from/to URLs', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
const nonce = `${Date.now()}-${Math.random()}`
const { createOpenAIShimClient } = await import(`./openaiShim.ts?ts=${nonce}`)
process.env.OPENAI_BASE_URL = 'http://user:supersecret@localhost:11434/v1'
process.env.OPENAI_API_KEY = 'supersecret'
globalThis.fetch = mock(async (input: string | Request) => {
const url = typeof input === 'string' ? input : input.url
if (url.includes('localhost')) {
throw Object.assign(new TypeError('fetch failed'), {
code: 'ENOTFOUND',
})
}
return new Response(
JSON.stringify({
id: 'chatcmpl-1',
model: 'qwen2.5-coder:7b',
choices: [
{
message: {
role: 'assistant',
content: 'ok',
},
finish_reason: 'stop',
},
],
usage: {
prompt_tokens: 5,
completion_tokens: 2,
total_tokens: 7,
},
}),
{
status: 200,
headers: {
'Content-Type': 'application/json',
},
},
)
}) as typeof globalThis.fetch
const client = createOpenAIShimClient({}) as {
beta: {
messages: {
create: (params: Record<string, unknown>) => Promise<unknown>
}
}
}
await expect(
client.beta.messages.create({
model: 'qwen2.5-coder:7b',
messages: [{ role: 'user', content: 'hello' }],
max_tokens: 64,
stream: false,
}),
).resolves.toBeDefined()
const fallbackLog = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' &&
call[0].includes('self-heal retry reason=localhost_resolution_failed'),
)
expect(fallbackLog).toBeDefined()
const logLine = String(fallbackLog?.[0])
expect(logLine).toContain('from=http://redacted:redacted@localhost:11434/v1/chat/completions')
expect(logLine).toContain('to=http://redacted:redacted@127.0.0.1:11434/v1/chat/completions')
expect(logLine).not.toContain('supersecret')
})
test('logs self-heal toolless retry for local tool-call incompatibility', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
const nonce = `${Date.now()}-${Math.random()}`
const { createOpenAIShimClient } = await import(`./openaiShim.ts?ts=${nonce}`)
process.env.OPENAI_BASE_URL = 'http://localhost:11434/v1'
process.env.OPENAI_API_KEY = 'ollama'
let callCount = 0
globalThis.fetch = mock(async () => {
callCount += 1
if (callCount === 1) {
return new Response('tool_calls are not supported', {
status: 400,
headers: {
'Content-Type': 'text/plain',
},
})
}
return new Response(
JSON.stringify({
id: 'chatcmpl-1',
model: 'qwen2.5-coder:7b',
choices: [
{
message: {
role: 'assistant',
content: 'ok',
},
finish_reason: 'stop',
},
],
usage: {
prompt_tokens: 7,
completion_tokens: 3,
total_tokens: 10,
},
}),
{
status: 200,
headers: {
'Content-Type': 'application/json',
},
},
)
}) as typeof globalThis.fetch
const client = createOpenAIShimClient({}) as {
beta: {
messages: {
create: (params: Record<string, unknown>) => Promise<unknown>
}
}
}
await expect(
client.beta.messages.create({
model: 'qwen2.5-coder:7b',
messages: [{ role: 'user', content: 'hello' }],
tools: [
{
name: 'Read',
description: 'Read file',
input_schema: {
type: 'object',
properties: {
filePath: { type: 'string' },
},
required: ['filePath'],
},
},
],
max_tokens: 64,
stream: false,
}),
).resolves.toBeDefined()
const fallbackLog = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' &&
call[0].includes('self-heal retry reason=tool_call_incompatible mode=toolless'),
)
expect(fallbackLog).toBeDefined()
expect(fallbackLog?.[1]).toEqual({ level: 'warn' })
})

File diff suppressed because it is too large Load Diff

View File

@@ -32,10 +32,9 @@ import { resolveGeminiCredential } from '../../utils/geminiAuth.js'
import { hydrateGeminiAccessTokenFromSecureStorage } from '../../utils/geminiCredentials.js'
import { hydrateGithubModelsTokenFromSecureStorage } from '../../utils/githubModelsCredentials.js'
import {
looksLikeLeakedReasoningPrefix,
shouldBufferPotentialReasoningPrefix,
stripLeakedReasoningPreamble,
} from './reasoningLeakSanitizer.js'
createThinkTagFilter,
stripThinkTags,
} from './thinkTagSanitizer.js'
import {
codexStreamToAnthropic,
collectCodexCompletedResponse,
@@ -47,18 +46,29 @@ import {
type AnthropicUsage,
type ShimCreateParams,
} from './codexShim.js'
import { compressToolHistory } from './compressToolHistory.js'
import { fetchWithProxyRetry } from './fetchWithProxyRetry.js'
import {
getLocalProviderRetryBaseUrls,
getGithubEndpointType,
isLocalProviderUrl,
resolveRuntimeCodexCredentials,
resolveProviderRequest,
getGithubEndpointType,
shouldAttemptLocalToollessRetry,
} from './providerConfig.js'
import {
buildOpenAICompatibilityErrorMessage,
classifyOpenAIHttpFailure,
classifyOpenAINetworkFailure,
} from './openaiErrorClassification.js'
import { sanitizeSchemaForOpenAICompat } from '../../utils/schemaSanitizer.js'
import { redactSecretValueForDisplay } from '../../utils/providerProfile.js'
import {
normalizeToolArguments,
hasToolFieldMapping,
} from './toolArgumentNormalization.js'
import { logApiCallStart, logApiCallEnd } from '../../utils/requestLogging.js'
import { createStreamState, processStreamChunk, getStreamStats } from '../../utils/streamingOptimizer.js'
type SecretValueSource = Partial<{
OPENAI_API_KEY: string
@@ -74,6 +84,10 @@ const GITHUB_429_MAX_RETRIES = 3
const GITHUB_429_BASE_DELAY_SEC = 1
const GITHUB_429_MAX_DELAY_SEC = 32
const GEMINI_API_HOST = 'generativelanguage.googleapis.com'
const MOONSHOT_API_HOSTS = new Set([
'api.moonshot.ai',
'api.moonshot.cn',
])
const COPILOT_HEADERS: Record<string, string> = {
'User-Agent': 'GitHubCopilotChat/0.26.7',
@@ -82,6 +96,19 @@ const COPILOT_HEADERS: Record<string, string> = {
'Copilot-Integration-Id': 'vscode-chat',
}
const SENSITIVE_URL_QUERY_PARAM_NAMES = [
'api_key',
'key',
'token',
'access_token',
'refresh_token',
'signature',
'sig',
'secret',
'password',
'authorization',
]
function isGithubModelsMode(): boolean {
return isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
}
@@ -126,11 +153,48 @@ function hasGeminiApiHost(baseUrl: string | undefined): boolean {
}
}
function isMoonshotBaseUrl(baseUrl: string | undefined): boolean {
if (!baseUrl) return false
try {
return MOONSHOT_API_HOSTS.has(new URL(baseUrl).hostname.toLowerCase())
} catch {
return false
}
}
function formatRetryAfterHint(response: Response): string {
const ra = response.headers.get('retry-after')
return ra ? ` (Retry-After: ${ra})` : ''
}
function shouldRedactUrlQueryParam(name: string): boolean {
const lower = name.toLowerCase()
return SENSITIVE_URL_QUERY_PARAM_NAMES.some(token => lower.includes(token))
}
function redactUrlForDiagnostics(url: string): string {
try {
const parsed = new URL(url)
if (parsed.username) {
parsed.username = 'redacted'
}
if (parsed.password) {
parsed.password = 'redacted'
}
for (const key of parsed.searchParams.keys()) {
if (shouldRedactUrlQueryParam(key)) {
parsed.searchParams.set(key, 'redacted')
}
}
const serialized = parsed.toString()
return redactSecretValueForDisplay(serialized, process.env as SecretValueSource) ?? serialized
} catch {
return redactSecretValueForDisplay(url, process.env as SecretValueSource) ?? url
}
}
function sleepMs(ms: number): Promise<void> {
return new Promise(resolve => setTimeout(resolve, ms))
}
@@ -154,6 +218,14 @@ interface OpenAIMessage {
}>
tool_call_id?: string
name?: string
/**
* Per-assistant-message chain-of-thought, attached when echoing an
* assistant message back to providers that require it (notably Moonshot:
* "thinking is enabled but reasoning_content is missing in assistant
* tool call message at index N" 400). Derived from the Anthropic thinking
* block captured when the original response was translated.
*/
reasoning_content?: string
}
interface OpenAITool {
@@ -229,6 +301,15 @@ function convertToolResultContent(
const text = parts[0].text ?? ''
return isError ? `Error: ${text}` : text
}
// Collapse arrays of only text blocks into a single string for DeepSeek
// compatibility (issue #774). DeepSeek rejects arrays in role: "tool" messages.
const allText = parts.every(p => p.type === 'text')
if (allText) {
const text = parts.map(p => p.text ?? '').join('\n\n')
return isError ? `Error: ${text}` : text
}
if (isError && parts[0]?.type === 'text') {
parts[0] = { ...parts[0], text: `Error: ${parts[0].text ?? ''}` }
} else if (isError) {
@@ -287,6 +368,14 @@ function convertContentBlocks(
if (parts.length === 0) return ''
if (parts.length === 1 && parts[0].type === 'text') return parts[0].text ?? ''
// Collapse arrays of only text blocks into a single string for DeepSeek
// compatibility (issue #774).
const allText = parts.every(p => p.type === 'text')
if (allText) {
return parts.map(p => p.text ?? '').join('\n\n')
}
return parts
}
@@ -298,10 +387,34 @@ function isGeminiMode(): boolean {
}
function convertMessages(
messages: Array<{ role: string; message?: { role?: string; content?: unknown }; content?: unknown }>,
messages: Array<{
role: string
message?: { role?: string; content?: unknown }
content?: unknown
}>,
system: unknown,
options?: { preserveReasoningContent?: boolean },
): OpenAIMessage[] {
const preserveReasoningContent = options?.preserveReasoningContent === true
const result: OpenAIMessage[] = []
const knownToolCallIds = new Set<string>()
// Pre-scan for all tool results in the history to identify valid tool calls
const toolResultIds = new Set<string>()
for (const msg of messages) {
const inner = msg.message ?? msg
const content = (inner as { content?: unknown }).content
if (Array.isArray(content)) {
for (const block of content) {
if (
(block as { type?: string }).type === 'tool_result' &&
(block as { tool_use_id?: string }).tool_use_id
) {
toolResultIds.add((block as { tool_use_id: string }).tool_use_id)
}
}
}
}
// System message first
const sysText = convertSystemPrompt(system)
@@ -309,7 +422,10 @@ function convertMessages(
result.push({ role: 'system', content: sysText })
}
for (const msg of messages) {
for (let i = 0; i < messages.length; i++) {
const msg = messages[i]
const isLastInHistory = i === messages.length - 1
// Claude Code wraps messages in { role, message: { role, content } }
const inner = msg.message ?? msg
const role = (inner as { role?: string }).role ?? msg.role
@@ -318,16 +434,30 @@ function convertMessages(
if (role === 'user') {
// Check for tool_result blocks in user messages
if (Array.isArray(content)) {
const toolResults = content.filter((b: { type?: string }) => b.type === 'tool_result')
const otherContent = content.filter((b: { type?: string }) => b.type !== 'tool_result')
const toolResults = content.filter(
(b: { type?: string }) => b.type === 'tool_result',
)
const otherContent = content.filter(
(b: { type?: string }) => b.type !== 'tool_result',
)
// Emit tool results as tool messages
// Emit tool results as tool messages, but ONLY if we have a matching tool_use ID.
// Mistral/OpenAI strictly require tool messages to follow an assistant message with tool_calls.
// If the user interrupted (ESC) and a synthetic tool_result was generated without a recorded tool_use,
// emitting it here would cause a "role must alternate" or "unexpected role" error.
for (const tr of toolResults) {
const id = tr.tool_use_id ?? 'unknown'
if (knownToolCallIds.has(id)) {
result.push({
role: 'tool',
tool_call_id: tr.tool_use_id ?? 'unknown',
tool_call_id: id,
content: convertToolResultContent(tr.content, tr.is_error),
})
} else {
logForDebugging(
`Dropping orphan tool_result for ID: ${id} to prevent API error`,
)
}
}
// Emit remaining user content
@@ -346,8 +476,12 @@ function convertMessages(
} else if (role === 'assistant') {
// Check for tool_use blocks
if (Array.isArray(content)) {
const toolUses = content.filter((b: { type?: string }) => b.type === 'tool_use')
const thinkingBlock = content.find((b: { type?: string }) => b.type === 'thinking')
const toolUses = content.filter(
(b: { type?: string }) => b.type === 'tool_use',
)
const thinkingBlock = content.find(
(b: { type?: string }) => b.type === 'thinking',
)
const textContent = content.filter(
(b: { type?: string }) => b.type !== 'tool_use' && b.type !== 'thinking',
)
@@ -356,21 +490,53 @@ function convertMessages(
role: 'assistant',
content: (() => {
const c = convertContentBlocks(textContent)
return typeof c === 'string' ? c : Array.isArray(c) ? c.map((p: { text?: string }) => p.text ?? '').join('') : ''
return typeof c === 'string'
? c
: Array.isArray(c)
? c.map((p: { text?: string }) => p.text ?? '').join('')
: ''
})(),
}
// Providers that validate reasoning continuity (Moonshot: "thinking
// is enabled but reasoning_content is missing in assistant tool call
// message at index N" 400) need the original chain-of-thought echoed
// back on each assistant message that carries a tool_call. We kept
// the thinking block on the Anthropic side; re-attach it here as the
// `reasoning_content` field on the outgoing OpenAI-shaped message.
// Gated per-provider because other endpoints either ignore the field
// (harmless) or strict-reject unknown fields (harmful).
if (preserveReasoningContent) {
const thinkingText = (thinkingBlock as { thinking?: string } | undefined)?.thinking
if (typeof thinkingText === 'string' && thinkingText.trim().length > 0) {
assistantMsg.reasoning_content = thinkingText
}
}
if (toolUses.length > 0) {
assistantMsg.tool_calls = toolUses.map(
const mappedToolCalls = toolUses
.map(
(tu: {
id?: string
name?: string
input?: unknown
extra_content?: Record<string, unknown>
signature?: string
}, index) => {
const toolCall: NonNullable<OpenAIMessage['tool_calls']>[number] = {
id: tu.id ?? `call_${crypto.randomUUID().replace(/-/g, '')}`,
}) => {
const id = tu.id ?? `call_${crypto.randomUUID().replace(/-/g, '')}`
// Only keep tool calls that have a corresponding result in the history,
// or if it's the last message (prefill scenario).
// Orphaned tool calls (e.g. from user interruption) cause 400 errors.
if (!toolResultIds.has(id) && !isLastInHistory) {
return null
}
knownToolCallIds.add(id)
const toolCall: NonNullable<
OpenAIMessage['tool_calls']
>[number] = {
id,
type: 'function' as const,
function: {
name: tu.name ?? 'unknown',
@@ -391,34 +557,56 @@ function convertMessages(
// If the model provided a signature in the tool_use block itself (e.g. from a previous Turn/Step)
// Use thinkingBlock.signature for ALL tool calls in the same assistant turn if available.
// The API requires the same signature on every replayed function call part in a parallel set.
const signature = tu.signature ?? (thinkingBlock as any)?.signature
const signature =
tu.signature ?? (thinkingBlock as any)?.signature
// Merge into existing google-specific metadata if present
const existingGoogle = (toolCall.extra_content?.google as Record<string, unknown>) ?? {}
const existingGoogle =
(toolCall.extra_content?.google as Record<
string,
unknown
>) ?? {}
toolCall.extra_content = {
...toolCall.extra_content,
google: {
...existingGoogle,
thought_signature: signature ?? "skip_thought_signature_validator"
}
thought_signature:
signature ?? 'skip_thought_signature_validator',
},
}
}
return toolCall
},
)
.filter((tc): tc is NonNullable<typeof tc> => tc !== null)
if (mappedToolCalls.length > 0) {
assistantMsg.tool_calls = mappedToolCalls
}
}
// Only push assistant message if it has content or tool calls.
// Stripped thinking-only blocks from user interruptions are empty and cause 400s.
if (assistantMsg.content || assistantMsg.tool_calls?.length) {
result.push(assistantMsg)
}
} else {
result.push({
const assistantMsg: OpenAIMessage = {
role: 'assistant',
content: (() => {
const c = convertContentBlocks(content)
return typeof c === 'string' ? c : Array.isArray(c) ? c.map((p: { text?: string }) => p.text ?? '').join('') : ''
return typeof c === 'string'
? c
: Array.isArray(c)
? c.map((p: { text?: string }) => p.text ?? '').join('')
: ''
})(),
})
}
if (assistantMsg.content) {
result.push(assistantMsg)
}
}
}
}
@@ -432,25 +620,56 @@ function convertMessages(
for (const msg of result) {
const prev = coalesced[coalesced.length - 1]
if (prev && prev.role === msg.role && msg.role !== 'tool' && msg.role !== 'system') {
const prevContent = prev.content
// Mistral/Devstral: 'tool' message must be followed by an 'assistant' message.
// If a 'tool' result is followed by a 'user' message, we must inject a semantic
// assistant response to satisfy the strict role sequence:
// ... -> assistant (calls) -> tool (results) -> assistant (semantic) -> user (next)
if (prev && prev.role === 'tool' && msg.role === 'user') {
coalesced.push({
role: 'assistant',
content: '[Tool execution interrupted by user]',
})
}
const lastAfterPossibleInjection = coalesced[coalesced.length - 1]
if (
lastAfterPossibleInjection &&
lastAfterPossibleInjection.role === msg.role &&
msg.role !== 'tool' &&
msg.role !== 'system'
) {
const prevContent = lastAfterPossibleInjection.content
const curContent = msg.content
if (typeof prevContent === 'string' && typeof curContent === 'string') {
prev.content = prevContent + (prevContent && curContent ? '\n' : '') + curContent
lastAfterPossibleInjection.content =
prevContent + (prevContent && curContent ? '\n' : '') + curContent
} else {
const toArray = (
c: string | Array<{ type: string; text?: string; image_url?: { url: string } }> | undefined,
): Array<{ type: string; text?: string; image_url?: { url: string } }> => {
c:
| string
| Array<{ type: string; text?: string; image_url?: { url: string } }>
| undefined,
): Array<{
type: string
text?: string
image_url?: { url: string }
}> => {
if (!c) return []
if (typeof c === 'string') return c ? [{ type: 'text', text: c }] : []
return c
}
prev.content = [...toArray(prevContent), ...toArray(curContent)]
lastAfterPossibleInjection.content = [
...toArray(prevContent),
...toArray(curContent),
]
}
if (msg.tool_calls?.length) {
prev.tool_calls = [...(prev.tool_calls ?? []), ...msg.tool_calls]
lastAfterPossibleInjection.tool_calls = [
...(lastAfterPossibleInjection.tool_calls ?? []),
...msg.tool_calls,
]
}
} else {
coalesced.push(msg)
@@ -550,7 +769,10 @@ function convertTools(
function: {
name: t.name,
description: t.description ?? '',
parameters: normalizeSchemaForOpenAI(schema, !isGemini),
parameters: normalizeSchemaForOpenAI(
schema,
!isGemini && !isEnvTruthy(process.env.OPENCLAUDE_DISABLE_STRICT_TOOLS),
),
},
}
})
@@ -658,11 +880,11 @@ async function* openaiStreamToAnthropic(
let hasEmittedContentStart = false
let hasEmittedThinkingStart = false
let hasClosedThinking = false
let activeTextBuffer = ''
let textBufferMode: 'none' | 'pending' | 'strip' = 'none'
const thinkFilter = createThinkTagFilter()
let lastStopReason: 'tool_use' | 'max_tokens' | 'end_turn' | null = null
let hasEmittedFinalUsage = false
let hasProcessedFinishReason = false
const streamState = createStreamState()
// Emit message_start
yield {
@@ -738,14 +960,12 @@ async function* openaiStreamToAnthropic(
const closeActiveContentBlock = async function* () {
if (!hasEmittedContentStart) return
if (textBufferMode !== 'none') {
const sanitized = stripLeakedReasoningPreamble(activeTextBuffer)
if (sanitized) {
const tail = thinkFilter.flush()
if (tail) {
yield {
type: 'content_block_delta',
index: contentBlockIndex,
delta: { type: 'text_delta', text: sanitized },
}
delta: { type: 'text_delta', text: tail },
}
}
@@ -755,8 +975,6 @@ async function* openaiStreamToAnthropic(
}
contentBlockIndex++
hasEmittedContentStart = false
activeTextBuffer = ''
textBufferMode = 'none'
}
try {
@@ -813,7 +1031,6 @@ async function* openaiStreamToAnthropic(
contentBlockIndex++
hasClosedThinking = true
}
activeTextBuffer += delta.content
if (!hasEmittedContentStart) {
yield {
type: 'content_block_start',
@@ -823,39 +1040,15 @@ async function* openaiStreamToAnthropic(
hasEmittedContentStart = true
}
if (
textBufferMode === 'strip' ||
looksLikeLeakedReasoningPrefix(activeTextBuffer)
) {
textBufferMode = 'strip'
continue
}
if (textBufferMode === 'pending') {
if (shouldBufferPotentialReasoningPrefix(activeTextBuffer)) {
continue
}
const visible = thinkFilter.feed(delta.content)
if (visible) {
yield {
type: 'content_block_delta',
index: contentBlockIndex,
delta: {
type: 'text_delta',
text: activeTextBuffer,
},
delta: { type: 'text_delta', text: visible },
}
textBufferMode = 'none'
continue
}
if (shouldBufferPotentialReasoningPrefix(activeTextBuffer)) {
textBufferMode = 'pending'
continue
}
yield {
type: 'content_block_delta',
index: contentBlockIndex,
delta: { type: 'text_delta', text: delta.content },
}
processStreamChunk(streamState, delta.content)
}
// Tool calls
@@ -875,6 +1068,7 @@ async function* openaiStreamToAnthropic(
const toolBlockIndex = contentBlockIndex
const initialArguments = tc.function.arguments ?? ''
const normalizeAtStop = hasToolFieldMapping(tc.function.name)
processStreamChunk(streamState, tc.function.arguments ?? '')
activeToolCalls.set(tc.index, {
id: tc.id,
name: tc.function.name,
@@ -1072,6 +1266,20 @@ async function* openaiStreamToAnthropic(
reader.releaseLock()
}
const stats = getStreamStats(streamState)
if (stats.totalChunks > 0) {
logForDebugging(
JSON.stringify({
type: 'stream_stats',
model,
total_chunks: stats.totalChunks,
first_token_ms: stats.firstTokenMs,
duration_ms: stats.durationMs,
}),
{ level: 'debug' },
)
}
yield { type: 'message_stop' }
}
@@ -1269,14 +1477,20 @@ class OpenAIShimMessages {
params: ShimCreateParams,
options?: { signal?: AbortSignal; headers?: Record<string, string> },
): Promise<Response> {
const openaiMessages = convertMessages(
const compressedMessages = compressToolHistory(
params.messages as Array<{
role: string
message?: { role?: string; content?: unknown }
content?: unknown
}>,
params.system,
request.resolvedModel,
)
const openaiMessages = convertMessages(compressedMessages, params.system, {
// Moonshot requires every assistant tool-call message to carry
// reasoning_content when its thinking feature is active. Echo it back
// from the thinking block we captured on the inbound response.
preserveReasoningContent: isMoonshotBaseUrl(request.baseUrl),
})
const body: Record<string, unknown> = {
model: request.resolvedModel,
@@ -1312,14 +1526,19 @@ class OpenAIShimMessages {
const isGithubCopilot = isGithub && githubEndpointType === 'copilot'
const isGithubModels = isGithub && (githubEndpointType === 'models' || githubEndpointType === 'custom')
if ((isGithub || isMistral || isLocal) && body.max_completion_tokens !== undefined) {
const isMoonshot = isMoonshotBaseUrl(request.baseUrl)
if ((isGithub || isMistral || isLocal || isMoonshot) && body.max_completion_tokens !== undefined) {
body.max_tokens = body.max_completion_tokens
delete body.max_completion_tokens
}
// mistral and gemini don't recognize body.store — Gemini returns 400
// "Invalid JSON payload received. Unknown name 'store': Cannot find field."
if (isMistral || isGeminiMode()) {
// Moonshot (api.moonshot.ai/.cn) has not published support for the
// parameter either; strip it preemptively to avoid the same class of
// error on strict-parse providers.
if (isMistral || isGeminiMode() || isMoonshot) {
delete body.store
}
@@ -1360,8 +1579,12 @@ class OpenAIShimMessages {
...filterAnthropicHeaders(options?.headers),
}
const isGemini = isEnvTruthy(process.env.CLAUDE_CODE_USE_GEMINI)
const apiKey = this.providerOverride?.apiKey ?? process.env.OPENAI_API_KEY ?? ''
const isGemini = isGeminiMode()
const isMiniMax = !!process.env.MINIMAX_API_KEY
const apiKey =
this.providerOverride?.apiKey ??
process.env.OPENAI_API_KEY ??
(isMiniMax ? process.env.MINIMAX_API_KEY : '')
// Detect Azure endpoints by hostname (not raw URL) to prevent bypass via
// path segments like https://evil.com/cognitiveservices.azure.com/
let isAzure = false
@@ -1395,42 +1618,212 @@ class OpenAIShimMessages {
headers['X-GitHub-Api-Version'] = '2022-11-28'
}
// Build the chat completions URL
// Azure Cognitive Services / Azure OpenAI require a deployment-specific path
// and an api-version query parameter.
// Standard format: {base}/openai/deployments/{model}/chat/completions?api-version={version}
// Non-Azure: {base}/chat/completions
let chatCompletionsUrl: string
const buildChatCompletionsUrl = (baseUrl: string): string => {
// Azure Cognitive Services / Azure OpenAI require a deployment-specific
// path and an api-version query parameter.
if (isAzure) {
const apiVersion = process.env.AZURE_OPENAI_API_VERSION ?? '2024-12-01-preview'
const deployment = request.resolvedModel ?? process.env.OPENAI_MODEL ?? 'gpt-4o'
// If base URL already contains /deployments/, use it as-is with api-version
if (/\/deployments\//i.test(request.baseUrl)) {
const base = request.baseUrl.replace(/\/+$/, '')
chatCompletionsUrl = `${base}/chat/completions?api-version=${apiVersion}`
} else {
// Strip trailing /v1 or /openai/v1 if present, then build Azure path
const base = request.baseUrl.replace(/\/(openai\/)?v1\/?$/, '').replace(/\/+$/, '')
chatCompletionsUrl = `${base}/openai/deployments/${deployment}/chat/completions?api-version=${apiVersion}`
}
} else {
chatCompletionsUrl = `${request.baseUrl}/chat/completions`
// If base URL already contains /deployments/, use it as-is with api-version.
if (/\/deployments\//i.test(baseUrl)) {
const normalizedBase = baseUrl.replace(/\/+$/, '')
return `${normalizedBase}/chat/completions?api-version=${apiVersion}`
}
const fetchInit = {
// Strip trailing /v1 or /openai/v1 if present, then build Azure path.
const normalizedBase = baseUrl
.replace(/\/(openai\/)?v1\/?$/, '')
.replace(/\/+$/, '')
return `${normalizedBase}/openai/deployments/${deployment}/chat/completions?api-version=${apiVersion}`
}
return `${baseUrl}/chat/completions`
}
const localRetryBaseUrls = isLocal
? getLocalProviderRetryBaseUrls(request.baseUrl)
: []
let activeBaseUrl = request.baseUrl
let chatCompletionsUrl = buildChatCompletionsUrl(activeBaseUrl)
const attemptedLocalBaseUrls = new Set<string>([activeBaseUrl])
let didRetryWithoutTools = false
const promoteNextLocalBaseUrl = (
reason: 'endpoint_not_found' | 'localhost_resolution_failed',
): boolean => {
for (const candidateBaseUrl of localRetryBaseUrls) {
if (attemptedLocalBaseUrls.has(candidateBaseUrl)) {
continue
}
const previousUrl = chatCompletionsUrl
attemptedLocalBaseUrls.add(candidateBaseUrl)
activeBaseUrl = candidateBaseUrl
chatCompletionsUrl = buildChatCompletionsUrl(activeBaseUrl)
logForDebugging(
`[OpenAIShim] self-heal retry reason=${reason} method=POST from=${redactUrlForDiagnostics(previousUrl)} to=${redactUrlForDiagnostics(chatCompletionsUrl)} model=${request.resolvedModel}`,
{ level: 'warn' },
)
return true
}
return false
}
let serializedBody = JSON.stringify(body)
const refreshSerializedBody = (): void => {
serializedBody = JSON.stringify(body)
}
const buildFetchInit = () => ({
method: 'POST' as const,
headers,
body: JSON.stringify(body),
body: serializedBody,
signal: options?.signal,
})
const maxSelfHealAttempts = isLocal
? localRetryBaseUrls.length + 1
: 0
const maxAttempts = (isGithub ? GITHUB_429_MAX_RETRIES : 1) + maxSelfHealAttempts
const throwClassifiedTransportError = (
error: unknown,
requestUrl: string,
preclassifiedFailure?: ReturnType<typeof classifyOpenAINetworkFailure>,
): never => {
if (options?.signal?.aborted) {
throw error
}
const failure =
preclassifiedFailure ??
classifyOpenAINetworkFailure(error, {
url: requestUrl,
})
const redactedUrl = redactUrlForDiagnostics(requestUrl)
const safeMessage =
redactSecretValueForDisplay(
failure.message,
process.env as SecretValueSource,
) || 'Request failed'
logForDebugging(
`[OpenAIShim] transport failure category=${failure.category} retryable=${failure.retryable} code=${failure.code ?? 'unknown'} method=POST url=${redactedUrl} model=${request.resolvedModel} message=${safeMessage}`,
{ level: 'warn' },
)
throw APIError.generate(
503,
undefined,
buildOpenAICompatibilityErrorMessage(
`OpenAI API transport error: ${safeMessage}${failure.code ? ` (code=${failure.code})` : ''}`,
failure,
),
new Headers(),
)
}
const throwClassifiedHttpError = (
status: number,
errorBody: string,
parsedBody: object | undefined,
responseHeaders: Headers,
requestUrl: string,
rateHint = '',
preclassifiedFailure?: ReturnType<typeof classifyOpenAIHttpFailure>,
): never => {
const failure =
preclassifiedFailure ??
classifyOpenAIHttpFailure({
status,
body: errorBody,
})
const redactedUrl = redactUrlForDiagnostics(requestUrl)
logForDebugging(
`[OpenAIShim] request failed category=${failure.category} retryable=${failure.retryable} status=${status} method=POST url=${redactedUrl} model=${request.resolvedModel}`,
{ level: 'warn' },
)
throw APIError.generate(
status,
parsedBody,
buildOpenAICompatibilityErrorMessage(
`OpenAI API error ${status}: ${errorBody}${rateHint}`,
failure,
),
responseHeaders,
)
}
const maxAttempts = isGithub ? GITHUB_429_MAX_RETRIES : 1
let response: Response | undefined
const provider = request.baseUrl.includes('nvidia') ? 'nvidia-nim'
: request.baseUrl.includes('minimax') ? 'minimax'
: request.baseUrl.includes('localhost:11434') || request.baseUrl.includes('localhost:11435') ? 'ollama'
: request.baseUrl.includes('anthropic') ? 'anthropic'
: 'openai'
const { correlationId, startTime } = logApiCallStart(provider, request.resolvedModel)
for (let attempt = 0; attempt < maxAttempts; attempt++) {
response = await fetch(chatCompletionsUrl, fetchInit)
try {
response = await fetchWithProxyRetry(
chatCompletionsUrl,
buildFetchInit(),
)
} catch (error) {
const isAbortError =
options?.signal?.aborted === true ||
(typeof DOMException !== 'undefined' &&
error instanceof DOMException &&
error.name === 'AbortError') ||
(typeof error === 'object' &&
error !== null &&
'name' in error &&
error.name === 'AbortError')
if (isAbortError) {
throw error
}
const failure = classifyOpenAINetworkFailure(error, {
url: chatCompletionsUrl,
})
if (
isLocal &&
failure.category === 'localhost_resolution_failed' &&
promoteNextLocalBaseUrl('localhost_resolution_failed')
) {
continue
}
throwClassifiedTransportError(error, chatCompletionsUrl, failure)
}
if (response.ok) {
let tokensIn = 0
let tokensOut = 0
// Skip clone() for streaming responses - it blocks until full body is received,
// defeating the purpose of streaming. Usage data is already sent via
// stream_options: { include_usage: true } and can be extracted from the stream.
if (!params.stream) {
try {
const clone = response.clone()
const data = await clone.json()
tokensIn = data.usage?.prompt_tokens ?? 0
tokensOut = data.usage?.completion_tokens ?? 0
} catch { /* ignore */ }
}
logApiCallEnd(correlationId, startTime, request.resolvedModel, 'success', tokensIn, tokensOut, false)
return response
}
if (
isGithub &&
response.status === 429 &&
@@ -1500,34 +1893,87 @@ class OpenAIShimMessages {
}
}
const responsesResponse = await fetch(responsesUrl, {
let responsesResponse: Response
try {
responsesResponse = await fetchWithProxyRetry(responsesUrl, {
method: 'POST',
headers,
body: JSON.stringify(responsesBody),
signal: options?.signal,
})
} catch (error) {
throwClassifiedTransportError(error, responsesUrl)
}
if (responsesResponse.ok) {
return responsesResponse
}
const responsesErrorBody = await responsesResponse.text().catch(() => 'unknown error')
const responsesFailure = classifyOpenAIHttpFailure({
status: responsesResponse.status,
body: responsesErrorBody,
})
let responsesErrorResponse: object | undefined
try { responsesErrorResponse = JSON.parse(responsesErrorBody) } catch { /* raw text */ }
throw APIError.generate(
throwClassifiedHttpError(
responsesResponse.status,
responsesErrorBody,
responsesErrorResponse,
`OpenAI API error ${responsesResponse.status}: ${responsesErrorBody}`,
responsesResponse.headers,
responsesUrl,
'',
responsesFailure,
)
}
}
const failure = classifyOpenAIHttpFailure({
status: response.status,
body: errorBody,
})
if (
isLocal &&
failure.category === 'endpoint_not_found' &&
promoteNextLocalBaseUrl('endpoint_not_found')
) {
continue
}
const hasToolsPayload =
Array.isArray(body.tools) &&
body.tools.length > 0
if (
!didRetryWithoutTools &&
failure.category === 'tool_call_incompatible' &&
shouldAttemptLocalToollessRetry({
baseUrl: activeBaseUrl,
hasTools: hasToolsPayload,
})
) {
didRetryWithoutTools = true
delete body.tools
delete body.tool_choice
refreshSerializedBody()
logForDebugging(
`[OpenAIShim] self-heal retry reason=tool_call_incompatible mode=toolless method=POST url=${redactUrlForDiagnostics(chatCompletionsUrl)} model=${request.resolvedModel}`,
{ level: 'warn' },
)
continue
}
let errorResponse: object | undefined
try { errorResponse = JSON.parse(errorBody) } catch { /* raw text */ }
throw APIError.generate(
throwClassifiedHttpError(
response.status,
errorBody,
errorResponse,
`OpenAI API error ${response.status}: ${errorBody}${rateHint}`,
response.headers as unknown as Headers,
chatCompletionsUrl,
rateHint,
failure,
)
}
@@ -1584,7 +2030,7 @@ class OpenAIShimMessages {
if (typeof rawContent === 'string' && rawContent) {
content.push({
type: 'text',
text: stripLeakedReasoningPreamble(rawContent),
text: stripThinkTags(rawContent),
})
} else if (Array.isArray(rawContent) && rawContent.length > 0) {
const parts: string[] = []
@@ -1602,7 +2048,7 @@ class OpenAIShimMessages {
if (joined) {
content.push({
type: 'text',
text: stripLeakedReasoningPreamble(joined),
text: stripThinkTags(joined),
})
}
}

View File

@@ -0,0 +1,107 @@
import { afterEach, expect, mock, test } from 'bun:test'
const originalEnv = {
CLAUDE_CODE_USE_OPENAI: process.env.CLAUDE_CODE_USE_OPENAI,
CLAUDE_CODE_USE_MISTRAL: process.env.CLAUDE_CODE_USE_MISTRAL,
OPENAI_BASE_URL: process.env.OPENAI_BASE_URL,
OPENAI_MODEL: process.env.OPENAI_MODEL,
OPENAI_API_BASE: process.env.OPENAI_API_BASE,
MISTRAL_BASE_URL: process.env.MISTRAL_BASE_URL,
MISTRAL_MODEL: process.env.MISTRAL_MODEL,
}
function restoreEnv(key: string, value: string | undefined): void {
if (value === undefined) {
delete process.env[key]
} else {
process.env[key] = value
}
}
afterEach(() => {
restoreEnv('CLAUDE_CODE_USE_OPENAI', originalEnv.CLAUDE_CODE_USE_OPENAI)
restoreEnv('CLAUDE_CODE_USE_MISTRAL', originalEnv.CLAUDE_CODE_USE_MISTRAL)
restoreEnv('OPENAI_BASE_URL', originalEnv.OPENAI_BASE_URL)
restoreEnv('OPENAI_MODEL', originalEnv.OPENAI_MODEL)
restoreEnv('OPENAI_API_BASE', originalEnv.OPENAI_API_BASE)
restoreEnv('MISTRAL_BASE_URL', originalEnv.MISTRAL_BASE_URL)
restoreEnv('MISTRAL_MODEL', originalEnv.MISTRAL_MODEL)
mock.restore()
})
test('logs a warning when OPENAI_BASE_URL is literal undefined', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
process.env.CLAUDE_CODE_USE_OPENAI = '1'
process.env.OPENAI_BASE_URL = 'undefined'
process.env.OPENAI_MODEL = 'gpt-4o'
delete process.env.OPENAI_API_BASE
const nonce = `${Date.now()}-${Math.random()}`
const { resolveProviderRequest } = await import(`./providerConfig.ts?ts=${nonce}`)
const resolved = resolveProviderRequest()
expect(resolved.baseUrl).toBe('https://api.openai.com/v1')
const warningCall = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' &&
call[0].includes('OPENAI_BASE_URL') &&
call[0].includes('"undefined"'),
)
expect(warningCall).toBeDefined()
expect(warningCall?.[1]).toEqual({ level: 'warn' })
})
test('does not warn for OPENAI_API_BASE when OPENAI_BASE_URL is active', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
process.env.CLAUDE_CODE_USE_OPENAI = '1'
delete process.env.CLAUDE_CODE_USE_MISTRAL
process.env.OPENAI_BASE_URL = 'http://127.0.0.1:11434/v1'
process.env.OPENAI_MODEL = 'qwen2.5-coder:7b'
process.env.OPENAI_API_BASE = 'undefined'
const nonce = `${Date.now()}-${Math.random()}`
const { resolveProviderRequest } = await import(`./providerConfig.ts?ts=${nonce}`)
const resolved = resolveProviderRequest()
expect(resolved.baseUrl).toBe('http://127.0.0.1:11434/v1')
const aliasWarning = debugSpy.mock.calls.find(call =>
typeof call?.[0] === 'string' &&
call[0].includes('OPENAI_API_BASE') &&
call[0].includes('"undefined"'),
)
expect(aliasWarning).toBeUndefined()
})
test('uses OPENAI_API_BASE as fallback in mistral mode when MISTRAL_BASE_URL is unset', async () => {
const debugSpy = mock(() => {})
mock.module('../../utils/debug.js', () => ({
logForDebugging: debugSpy,
}))
delete process.env.CLAUDE_CODE_USE_OPENAI
process.env.CLAUDE_CODE_USE_MISTRAL = '1'
delete process.env.MISTRAL_BASE_URL
process.env.MISTRAL_MODEL = 'mistral-medium-latest'
process.env.OPENAI_API_BASE = 'http://127.0.0.1:11434/v1'
const nonce = `${Date.now()}-${Math.random()}`
const { resolveProviderRequest } = await import(`./providerConfig.ts?ts=${nonce}`)
const resolved = resolveProviderRequest()
expect(resolved.baseUrl).toBe('http://127.0.0.1:11434/v1')
expect(debugSpy.mock.calls).toHaveLength(0)
})

View File

@@ -2,8 +2,10 @@ import { afterEach, expect, test } from 'bun:test'
import {
getAdditionalModelOptionsCacheScope,
getLocalProviderRetryBaseUrls,
isLocalProviderUrl,
resolveProviderRequest,
shouldAttemptLocalToollessRetry,
} from './providerConfig.js'
const originalEnv = {
@@ -83,3 +85,42 @@ test('skips local model cache scope for remote openai-compatible providers', ()
expect(getAdditionalModelOptionsCacheScope()).toBeNull()
})
test('derives local retry base URLs with /v1 and loopback fallback candidates', () => {
expect(getLocalProviderRetryBaseUrls('http://localhost:11434')).toEqual([
'http://localhost:11434/v1',
'http://127.0.0.1:11434',
'http://127.0.0.1:11434/v1',
])
})
test('does not derive local retry base URLs for remote providers', () => {
expect(getLocalProviderRetryBaseUrls('https://api.openai.com/v1')).toEqual([])
})
test('enables local toolless retry for likely Ollama endpoints with tools', () => {
expect(
shouldAttemptLocalToollessRetry({
baseUrl: 'http://localhost:11434/v1',
hasTools: true,
}),
).toBe(true)
})
test('disables local toolless retry when no tools are present', () => {
expect(
shouldAttemptLocalToollessRetry({
baseUrl: 'http://localhost:11434/v1',
hasTools: false,
}),
).toBe(false)
})
test('disables local toolless retry for non-Ollama local endpoints', () => {
expect(
shouldAttemptLocalToollessRetry({
baseUrl: 'http://localhost:1234/v1',
hasTools: true,
}),
).toBe(false)
})

View File

@@ -8,17 +8,20 @@ import {
readCodexCredentials,
type CodexCredentialBlob,
} from '../../utils/codexCredentials.js'
import { logForDebugging } from '../../utils/debug.js'
import { isEnvTruthy } from '../../utils/envUtils.js'
import {
asTrimmedString,
parseChatgptAccountId,
} from './codexOAuthShared.js'
import { DEFAULT_GEMINI_BASE_URL } from 'src/utils/providerProfile.js'
export const DEFAULT_OPENAI_BASE_URL = 'https://api.openai.com/v1'
export const DEFAULT_CODEX_BASE_URL = 'https://chatgpt.com/backend-api/codex'
export const DEFAULT_MISTRAL_BASE_URL = 'https://api.mistral.ai/v1'
/** Default GitHub Copilot API model when user selects copilot / github:copilot */
export const DEFAULT_GITHUB_MODELS_API_MODEL = 'gpt-4o'
const warnedUndefinedEnvNames = new Set<string>()
const CODEX_ALIAS_MODELS: Record<
string,
@@ -129,7 +132,33 @@ function isPrivateIpv6Address(hostname: string): boolean {
function asEnvUrl(value: string | undefined): string | undefined {
if (!value) return undefined
const trimmed = value.trim()
if (!trimmed || trimmed === 'undefined') return undefined
if (!trimmed) return undefined
if (trimmed === 'undefined') {
return undefined
}
return trimmed
}
function asNamedEnvUrl(
value: string | undefined,
envName: string,
): string | undefined {
if (!value) return undefined
const trimmed = value.trim()
if (!trimmed) return undefined
if (trimmed === 'undefined') {
if (!warnedUndefinedEnvNames.has(envName)) {
warnedUndefinedEnvNames.add(envName)
logForDebugging(
`[provider-config] Environment variable ${envName} is the literal string "undefined"; ignoring it.`,
{ level: 'warn' },
)
}
return undefined
}
return trimmed
}
@@ -276,6 +305,101 @@ export function isLocalProviderUrl(baseUrl: string | undefined): boolean {
}
}
function trimTrailingSlash(value: string): string {
return value.replace(/\/+$/, '')
}
function normalizePathWithV1(pathname: string): string {
const trimmed = trimTrailingSlash(pathname)
if (!trimmed || trimmed === '/') {
return '/v1'
}
if (trimmed.toLowerCase().endsWith('/v1')) {
return trimmed
}
return `${trimmed}/v1`
}
function isLikelyOllamaEndpoint(baseUrl: string): boolean {
try {
const parsed = new URL(baseUrl)
const hostname = parsed.hostname.toLowerCase()
const pathname = parsed.pathname.toLowerCase()
if (parsed.port === '11434') {
return true
}
return (
hostname.includes('ollama') ||
pathname.includes('ollama')
)
} catch {
return false
}
}
export function getLocalProviderRetryBaseUrls(baseUrl: string): string[] {
if (!isLocalProviderUrl(baseUrl)) {
return []
}
try {
const parsed = new URL(baseUrl)
const original = trimTrailingSlash(parsed.toString())
const seen = new Set<string>([original])
const candidates: string[] = []
const addCandidate = (hostname: string, pathname: string): void => {
const next = new URL(parsed.toString())
next.hostname = hostname
next.pathname = pathname
next.search = ''
next.hash = ''
const normalized = trimTrailingSlash(next.toString())
if (seen.has(normalized)) {
return
}
seen.add(normalized)
candidates.push(normalized)
}
const v1Pathname = normalizePathWithV1(parsed.pathname)
if (v1Pathname !== trimTrailingSlash(parsed.pathname)) {
addCandidate(parsed.hostname, v1Pathname)
}
const hostname = parsed.hostname.toLowerCase().replace(/^\[|\]$/g, '')
if (hostname === 'localhost' || hostname === '::1') {
addCandidate('127.0.0.1', parsed.pathname || '/')
addCandidate('127.0.0.1', v1Pathname)
}
return candidates
} catch {
return []
}
}
export function shouldAttemptLocalToollessRetry(options: {
baseUrl: string
hasTools: boolean
}): boolean {
if (!options.hasTools) {
return false
}
if (!isLocalProviderUrl(options.baseUrl)) {
return false
}
return isLikelyOllamaEndpoint(options.baseUrl)
}
export function isCodexBaseUrl(baseUrl: string | undefined): boolean {
if (!baseUrl) return false
try {
@@ -353,23 +477,55 @@ export function resolveProviderRequest(options?: {
}): ResolvedProviderRequest {
const isGithubMode = isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
const isMistralMode = isEnvTruthy(process.env.CLAUDE_CODE_USE_MISTRAL)
const isGeminiMode = isEnvTruthy(process.env.CLAUDE_CODE_USE_GEMINI)
const requestedModel =
options?.model?.trim() ||
(isMistralMode
? process.env.MISTRAL_MODEL?.trim()
: process.env.OPENAI_MODEL?.trim()) ||
(isGeminiMode
? process.env.GEMINI_MODEL?.trim()
: process.env.OPENAI_MODEL?.trim()) ||
options?.fallbackModel?.trim() ||
(isGithubMode ? 'github:copilot' : 'gpt-4o')
const descriptor = parseModelDescriptor(requestedModel)
const explicitBaseUrl = asEnvUrl(options?.baseUrl)
const normalizedMistralEnvBaseUrl = asNamedEnvUrl(
process.env.MISTRAL_BASE_URL,
'MISTRAL_BASE_URL',
)
const normalizedGeminiEnvBaseUrl = asNamedEnvUrl(
process.env.GEMINI_BASE_URL,
'GEMINI_BASE_URL',
)
const primaryEnvBaseUrl = isMistralMode
? normalizedMistralEnvBaseUrl
: isGeminiMode
? normalizedGeminiEnvBaseUrl
: asNamedEnvUrl(process.env.OPENAI_BASE_URL, 'OPENAI_BASE_URL')
// In Mistral mode, a literal "undefined" MISTRAL_BASE_URL is treated as
// misconfiguration and falls back to OPENAI_API_BASE, then
// DEFAULT_MISTRAL_BASE_URL for a safe default endpoint.
const fallbackEnvBaseUrl = isMistralMode
? (primaryEnvBaseUrl === undefined
? asNamedEnvUrl(process.env.OPENAI_API_BASE, 'OPENAI_API_BASE') ?? DEFAULT_MISTRAL_BASE_URL
: undefined)
: isGeminiMode
? (primaryEnvBaseUrl === undefined
? asNamedEnvUrl(process.env.OPENAI_API_BASE, 'OPENAI_API_BASE') ?? DEFAULT_GEMINI_BASE_URL
: undefined)
: (primaryEnvBaseUrl === undefined
? asNamedEnvUrl(process.env.OPENAI_API_BASE, 'OPENAI_API_BASE')
: undefined)
const envBaseUrlRaw =
explicitBaseUrl ??
asEnvUrl(
isMistralMode
? (process.env.MISTRAL_BASE_URL ?? DEFAULT_MISTRAL_BASE_URL)
: process.env.OPENAI_BASE_URL
) ??
asEnvUrl(process.env.OPENAI_API_BASE)
primaryEnvBaseUrl ??
fallbackEnvBaseUrl
const isCodexModelForGithub = isGithubMode && isCodexAlias(requestedModel)
const envBaseUrl =

View File

@@ -1,46 +0,0 @@
import { describe, expect, test } from 'bun:test'
import {
looksLikeLeakedReasoningPrefix,
shouldBufferPotentialReasoningPrefix,
stripLeakedReasoningPreamble,
} from './reasoningLeakSanitizer.ts'
describe('reasoning leak sanitizer', () => {
test('strips explicit internal reasoning preambles', () => {
const text =
'The user just said "hey" - a simple greeting. I should respond briefly and friendly.\n\nHey! How can I help you today?'
expect(looksLikeLeakedReasoningPrefix(text)).toBe(true)
expect(stripLeakedReasoningPreamble(text)).toBe(
'Hey! How can I help you today?',
)
})
test('does not strip normal user-facing advice that mentions "the user should"', () => {
const text =
'The user should reset their password immediately.\n\nHere are the steps...'
expect(looksLikeLeakedReasoningPrefix(text)).toBe(false)
expect(shouldBufferPotentialReasoningPrefix(text)).toBe(false)
expect(stripLeakedReasoningPreamble(text)).toBe(text)
})
test('does not strip legitimate first-person advice about responding to an incident', () => {
const text =
'I need to respond to this security incident immediately. The system is compromised.\n\nHere are the remediation steps...'
expect(looksLikeLeakedReasoningPrefix(text)).toBe(false)
expect(shouldBufferPotentialReasoningPrefix(text)).toBe(false)
expect(stripLeakedReasoningPreamble(text)).toBe(text)
})
test('does not strip legitimate first-person advice about answering a support ticket', () => {
const text =
'I need to answer the support ticket before end of day. The customer is waiting.\n\nHere is the response I drafted...'
expect(looksLikeLeakedReasoningPrefix(text)).toBe(false)
expect(shouldBufferPotentialReasoningPrefix(text)).toBe(false)
expect(stripLeakedReasoningPreamble(text)).toBe(text)
})
})

View File

@@ -1,54 +0,0 @@
const EXPLICIT_REASONING_START_RE =
/^\s*(i should\b|i need to\b|let me think\b|the task\b|the request\b)/i
const EXPLICIT_REASONING_META_RE =
/\b(user|request|question|prompt|message|task|greeting|small talk|briefly|friendly|concise)\b/i
const USER_META_START_RE =
/^\s*the user\s+(just\s+)?(said|asked|is asking|wants|wanted|mentioned|seems|appears)\b/i
const USER_REASONING_RE =
/^\s*the user\s+(just\s+)?(said|asked|is asking|wants|wanted|mentioned|seems|appears)\b[\s\S]*\b(i should|i need to|let me think|respond|reply|answer|greeting|small talk|briefly|friendly|concise)\b/i
export function shouldBufferPotentialReasoningPrefix(text: string): boolean {
const normalized = text.trim()
if (!normalized) return false
if (looksLikeLeakedReasoningPrefix(normalized)) {
return true
}
const hasParagraphBoundary = /\n\s*\n/.test(normalized)
if (hasParagraphBoundary) {
return false
}
return (
EXPLICIT_REASONING_START_RE.test(normalized) ||
USER_META_START_RE.test(normalized)
)
}
export function looksLikeLeakedReasoningPrefix(text: string): boolean {
const normalized = text.trim()
if (!normalized) return false
return (
(EXPLICIT_REASONING_START_RE.test(normalized) &&
EXPLICIT_REASONING_META_RE.test(normalized)) ||
USER_REASONING_RE.test(normalized)
)
}
export function stripLeakedReasoningPreamble(text: string): string {
const normalized = text.replace(/\r\n/g, '\n')
const parts = normalized.split(/\n\s*\n/)
if (parts.length < 2) return text
const first = parts[0]?.trim() ?? ''
if (!looksLikeLeakedReasoningPrefix(first)) {
return text
}
const remainder = parts.slice(1).join('\n\n').trim()
return remainder || text
}

View File

@@ -0,0 +1,191 @@
import { describe, expect, test } from 'bun:test'
import {
routeModel,
type SmartRoutingConfig,
} from './smartModelRouting.ts'
const ENABLED: SmartRoutingConfig = {
enabled: true,
simpleModel: 'claude-haiku-4-5',
strongModel: 'claude-opus-4-7',
}
describe('routeModel — disabled / misconfigured', () => {
test('disabled config routes to strong', () => {
const decision = routeModel(
{ userText: 'hi' },
{ ...ENABLED, enabled: false },
)
expect(decision.model).toBe('claude-opus-4-7')
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('disabled')
})
test('missing simpleModel falls back to strong', () => {
const decision = routeModel(
{ userText: 'hi' },
{ ...ENABLED, simpleModel: '' },
)
expect(decision.model).toBe('claude-opus-4-7')
expect(decision.complexity).toBe('strong')
})
test('simpleModel === strongModel routes to strong (no-op)', () => {
const decision = routeModel(
{ userText: 'hi' },
{ ...ENABLED, simpleModel: 'claude-opus-4-7' },
)
expect(decision.model).toBe('claude-opus-4-7')
expect(decision.complexity).toBe('strong')
})
})
describe('routeModel — simple path', () => {
test('short greeting routes to simple', () => {
const decision = routeModel({ userText: 'thanks!', turnNumber: 5 }, ENABLED)
expect(decision.model).toBe('claude-haiku-4-5')
expect(decision.complexity).toBe('simple')
})
test('empty input routes to simple', () => {
const decision = routeModel({ userText: ' ' }, ENABLED)
expect(decision.model).toBe('claude-haiku-4-5')
expect(decision.complexity).toBe('simple')
})
test('mid-length chatter routes to simple', () => {
const decision = routeModel(
{ userText: 'yep looks good, go ahead', turnNumber: 10 },
ENABLED,
)
expect(decision.complexity).toBe('simple')
})
})
describe('routeModel — strong path', () => {
test('first turn always routes to strong, even when short', () => {
const decision = routeModel(
{ userText: 'fix the bug', turnNumber: 1 },
ENABLED,
)
expect(decision.model).toBe('claude-opus-4-7')
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('first turn')
})
test('code fence routes to strong', () => {
const decision = routeModel(
{
userText: 'change this:\n```\nfoo()\n```',
turnNumber: 5,
},
ENABLED,
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('code')
})
test('inline code span routes to strong', () => {
const decision = routeModel(
{ userText: 'rename `foo` to `bar`', turnNumber: 5 },
ENABLED,
)
expect(decision.complexity).toBe('strong')
})
test('reasoning keyword "plan" routes to strong even when short', () => {
const decision = routeModel(
{ userText: 'plan the refactor', turnNumber: 5 },
ENABLED,
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('keyword')
})
test('reasoning keyword "debug" routes to strong', () => {
const decision = routeModel(
{ userText: 'debug the test', turnNumber: 5 },
ENABLED,
)
expect(decision.complexity).toBe('strong')
})
test('"root cause" multi-word keyword routes to strong', () => {
const decision = routeModel(
{ userText: 'find the root cause', turnNumber: 5 },
ENABLED,
)
expect(decision.complexity).toBe('strong')
})
test('multi-paragraph input routes to strong', () => {
const decision = routeModel(
{
userText: 'first thought.\n\nsecond thought.',
turnNumber: 5,
},
ENABLED,
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('multi-paragraph')
})
test('over-long input routes to strong', () => {
const long = 'ok '.repeat(100) // ~300 chars, 100 words
const decision = routeModel(
{ userText: long, turnNumber: 5 },
ENABLED,
)
expect(decision.complexity).toBe('strong')
})
test('exactly at the boundary stays simple', () => {
const text = 'a'.repeat(160)
const decision = routeModel(
{ userText: text, turnNumber: 5 },
{ ...ENABLED, simpleMaxChars: 160, simpleMaxWords: 28 },
)
expect(decision.complexity).toBe('simple')
})
test('one char over the boundary routes to strong', () => {
const text = 'a'.repeat(161)
const decision = routeModel(
{ userText: text, turnNumber: 5 },
{ ...ENABLED, simpleMaxChars: 160, simpleMaxWords: 28 },
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('160 chars')
})
})
describe('routeModel — config overrides', () => {
test('custom simpleMaxChars is honored', () => {
const decision = routeModel(
{ userText: 'abcdefghijklmnop', turnNumber: 5 },
{ ...ENABLED, simpleMaxChars: 10 },
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('10 chars')
})
test('custom simpleMaxWords is honored', () => {
const decision = routeModel(
{ userText: 'one two three four five', turnNumber: 5 },
{ ...ENABLED, simpleMaxWords: 3 },
)
expect(decision.complexity).toBe('strong')
expect(decision.reason).toContain('3 words')
})
})
describe('routeModel — reason strings', () => {
test('simple decisions include char + word counts', () => {
const decision = routeModel(
{ userText: 'sounds good', turnNumber: 5 },
ENABLED,
)
expect(decision.reason).toMatch(/\d+ chars, \d+ words/)
})
})

View File

@@ -0,0 +1,215 @@
/**
* Smart model routing — cheap-for-simple, strong-for-hard.
*
* For everyday short chatter ("ok", "thanks", "what does this do?") the
* incremental quality of Opus/GPT-5 over Haiku/Mini is negligible while the
* cost and latency are an order of magnitude worse. Smart routing opts a
* user into routing such "obviously simple" turns to a cheaper model while
* keeping the strong model for the anything-non-trivial path.
*
* This module is a pure primitive: it takes a turn description (the user's
* text + light context) and returns which model to use, based on config.
* It never reads env vars or state directly — caller supplies everything.
*
* Off by default. Users opt in via settings.smartRouting.enabled. Intent:
* make this a copy-paste-small config block rather than a hidden heuristic,
* so the tradeoff is visible and the user controls it.
*/
export type SmartRoutingConfig = {
enabled: boolean
/** Model to use for turns classified as "simple". */
simpleModel: string
/** Model to use for turns classified as "strong" (or when unsure). */
strongModel: string
/** Max characters in user input to qualify as "simple". Default 160. */
simpleMaxChars?: number
/** Max whitespace-separated words to qualify as "simple". Default 28. */
simpleMaxWords?: number
}
export type RoutingDecision = {
model: string
complexity: 'simple' | 'strong'
/** Human-readable reason — useful for the UI indicator and debug logs. */
reason: string
}
export type RoutingInput = {
/** The user's message text for this turn. */
userText: string
/**
* Optional: how many tool-use blocks the assistant has emitted in the
* recent conversation. High values correlate with "continue this work"
* follow-ups that can still be cheap, UNLESS the user also typed code
* or strong-keyword text.
*/
recentToolUses?: number
/**
* Optional: turn number within the current session (1-indexed). The first
* turn is often task-setup and benefits from the strong model even if
* short — a bare "build X" opens the whole task.
*/
turnNumber?: number
}
const DEFAULT_SIMPLE_MAX_CHARS = 160
const DEFAULT_SIMPLE_MAX_WORDS = 28
// Keywords that strongly suggest reasoning/planning/design work.
// Matching is word-boundary / case-insensitive. Must include enough anchors
// that short prompts like "plan the refactor" route to strong even under
// the char/word cutoff.
const STRONG_KEYWORDS = [
'plan',
'design',
'architect',
'architecture',
'refactor',
'debug',
'investigate',
'analyze',
'analyse',
'implement',
'optimize',
'optimise',
'review',
'audit',
'diagnose',
'root cause',
'root-cause',
'why does',
'why is',
'how should',
'why did',
'propose',
'trace',
'reproduce',
]
const STRONG_KEYWORD_RE = new RegExp(
`\\b(?:${STRONG_KEYWORDS.map(k => k.replace(/[-]/g, '[-\\s]')).join('|')})\\b`,
'i',
)
const CODE_FENCE_RE = /```[\s\S]*?```|`[^`\n]+`/
function countWords(text: string): number {
const trimmed = text.trim()
if (!trimmed) return 0
return trimmed.split(/\s+/).length
}
function hasMultiParagraph(text: string): boolean {
return /\n\s*\n/.test(text)
}
function hasCode(text: string): boolean {
return CODE_FENCE_RE.test(text)
}
function hasStrongKeyword(text: string): boolean {
return STRONG_KEYWORD_RE.test(text)
}
/**
* Decide whether to route to the simple or strong model based on heuristics.
* Returns the chosen model + a reason. When routing is disabled or both
* models match, the strong model is used (safe default).
*/
export function routeModel(
input: RoutingInput,
config: SmartRoutingConfig,
): RoutingDecision {
if (!config.enabled) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'smart-routing disabled',
}
}
if (!config.simpleModel || !config.strongModel) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'simpleModel or strongModel missing from config',
}
}
if (config.simpleModel === config.strongModel) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'simpleModel equals strongModel',
}
}
const text = input.userText ?? ''
const trimmed = text.trim()
if (!trimmed) {
// Empty input (e.g. resuming a tool-use chain) — cheap by default.
return {
model: config.simpleModel,
complexity: 'simple',
reason: 'empty user text',
}
}
// First turn of a session is task-setup — always use strong.
if (input.turnNumber === 1) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'first turn of session',
}
}
const maxChars = config.simpleMaxChars ?? DEFAULT_SIMPLE_MAX_CHARS
const maxWords = config.simpleMaxWords ?? DEFAULT_SIMPLE_MAX_WORDS
if (hasCode(trimmed)) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'contains code block or inline code',
}
}
if (hasStrongKeyword(trimmed)) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'contains reasoning/planning keyword',
}
}
if (hasMultiParagraph(trimmed)) {
return {
model: config.strongModel,
complexity: 'strong',
reason: 'multi-paragraph input',
}
}
if (trimmed.length > maxChars) {
return {
model: config.strongModel,
complexity: 'strong',
reason: `input > ${maxChars} chars`,
}
}
if (countWords(trimmed) > maxWords) {
return {
model: config.strongModel,
complexity: 'strong',
reason: `input > ${maxWords} words`,
}
}
return {
model: config.simpleModel,
complexity: 'simple',
reason: `short (${trimmed.length} chars, ${countWords(trimmed)} words)`,
}
}

View File

@@ -0,0 +1,183 @@
import { describe, expect, test } from 'bun:test'
import {
createThinkTagFilter,
stripThinkTags,
} from './thinkTagSanitizer.ts'
describe('stripThinkTags — whole-text cleanup', () => {
test('strips closed think pair', () => {
expect(stripThinkTags('<think>reasoning</think>Hello')).toBe('Hello')
})
test('strips closed thinking pair', () => {
expect(stripThinkTags('<thinking>x</thinking>Out')).toBe('Out')
})
test('strips closed reasoning pair', () => {
expect(stripThinkTags('<reasoning>x</reasoning>Out')).toBe('Out')
})
test('strips REASONING_SCRATCHPAD pair', () => {
expect(stripThinkTags('<REASONING_SCRATCHPAD>plan</REASONING_SCRATCHPAD>Answer'))
.toBe('Answer')
})
test('is case-insensitive', () => {
expect(stripThinkTags('<THINKING>x</THINKING>out')).toBe('out')
expect(stripThinkTags('<Think>x</Think>out')).toBe('out')
})
test('handles attributes on open tag', () => {
expect(stripThinkTags('<think id="plan-1">reason</think>ok')).toBe('ok')
})
test('strips unterminated open tag at block boundary', () => {
expect(stripThinkTags('<think>reasoning that never closes')).toBe('')
})
test('strips unterminated open tag after newline', () => {
// Block-boundary match consumes the leading newline, same as hermes.
expect(stripThinkTags('Answer: 42\n<think>second-guess myself'))
.toBe('Answer: 42')
})
test('strips orphan close tag', () => {
expect(stripThinkTags('trailing </think>done')).toBe('trailing done')
})
test('strips multiple blocks', () => {
expect(stripThinkTags('<think>a</think>B<think>c</think>D')).toBe('BD')
})
test('handles reasoning mid-response after content', () => {
expect(stripThinkTags('Answer: 42\n<think>double-check</think>\nDone'))
.toBe('Answer: 42\n\nDone')
})
test('handles nested-looking tags (lazy match + orphan cleanup)', () => {
expect(stripThinkTags('<think><think>x</think></think>y')).toBe('y')
})
test('preserves legitimate non-think tags', () => {
expect(stripThinkTags('use <div> and <span>')).toBe('use <div> and <span>')
})
test('preserves text without any tags', () => {
expect(stripThinkTags('Hello, world. I should respond briefly.')).toBe(
'Hello, world. I should respond briefly.',
)
})
test('handles empty input', () => {
expect(stripThinkTags('')).toBe('')
})
})
describe('createThinkTagFilter — streaming state machine', () => {
test('passes through plain text', () => {
const f = createThinkTagFilter()
expect(f.feed('Hello, ')).toBe('Hello, ')
expect(f.feed('world!')).toBe('world!')
expect(f.flush()).toBe('')
})
test('strips a complete think block in one chunk', () => {
const f = createThinkTagFilter()
expect(f.feed('pre<think>reason</think>post')).toBe('prepost')
expect(f.flush()).toBe('')
})
test('handles open tag split across deltas', () => {
const f = createThinkTagFilter()
expect(f.feed('before<th')).toBe('before')
expect(f.feed('ink>reason</think>after')).toBe('after')
expect(f.flush()).toBe('')
})
test('handles close tag split across deltas', () => {
const f = createThinkTagFilter()
expect(f.feed('<think>reason</th')).toBe('')
expect(f.feed('ink>keep')).toBe('keep')
expect(f.flush()).toBe('')
})
test('handles tag split on bare < boundary', () => {
const f = createThinkTagFilter()
expect(f.feed('leading <')).toBe('leading ')
expect(f.feed('think>inner</think>tail')).toBe('tail')
expect(f.flush()).toBe('')
})
test('preserves partial non-tag < at boundary when next char rules it out', () => {
const f = createThinkTagFilter()
// "<d" — 'd' cannot start any of our tag names, so emit immediately
expect(f.feed('pre<d')).toBe('pre<d')
expect(f.feed('iv>rest')).toBe('iv>rest')
expect(f.flush()).toBe('')
})
test('case-insensitive streaming', () => {
const f = createThinkTagFilter()
expect(f.feed('<THINKING>x</THINKING>out')).toBe('out')
expect(f.flush()).toBe('')
})
test('unterminated open tag — flush drops remainder', () => {
const f = createThinkTagFilter()
expect(f.feed('<think>reasoning with no close ')).toBe('')
expect(f.feed('and more reasoning')).toBe('')
expect(f.flush()).toBe('')
expect(f.isInsideBlock()).toBe(false)
})
test('multiple blocks in single feed', () => {
const f = createThinkTagFilter()
expect(f.feed('<think>a</think>B<think>c</think>D')).toBe('BD')
expect(f.flush()).toBe('')
})
test('flush after clean stream emits nothing extra', () => {
const f = createThinkTagFilter()
expect(f.feed('complete message')).toBe('complete message')
expect(f.flush()).toBe('')
})
test('flush of bare < at end emits it (not a tag prefix)', () => {
const f = createThinkTagFilter()
// bare '<' held back; flush emits it since it has no tag-name chars
expect(f.feed('x <')).toBe('x ')
expect(f.flush()).toBe('<')
})
test('flush of partial tag-name prefix at end drops it', () => {
const f = createThinkTagFilter()
expect(f.feed('x <thi')).toBe('x ')
expect(f.flush()).toBe('')
})
test('handles attributes on streaming open tag', () => {
const f = createThinkTagFilter()
expect(f.feed('<think type="plan">reason</think>ok')).toBe('ok')
expect(f.flush()).toBe('')
})
test('mid-delta transition: content, reasoning, content', () => {
const f = createThinkTagFilter()
expect(f.feed('Answer: 42\n<think>')).toBe('Answer: 42\n')
expect(f.feed('double-check')).toBe('')
expect(f.feed('</think>\nDone')).toBe('\nDone')
expect(f.flush()).toBe('')
})
test('orphan close tag mid-stream is stripped on flush via safety-net behavior', () => {
// Filter alone treats orphan close as "we're not inside", so it emits as-is.
// Safety net (stripThinkTags on final text) removes orphans.
const f = createThinkTagFilter()
const chunk1 = f.feed('trailing ')
const chunk2 = f.feed('</think>done')
const final = chunk1 + chunk2 + f.flush()
// Orphan close appears in stream output; safety net cleans it
expect(stripThinkTags(final)).toBe('trailing done')
})
})

View File

@@ -0,0 +1,162 @@
/**
* Think-tag sanitizer for reasoning content leaks.
*
* Some OpenAI-compatible reasoning models (MiniMax M2.7, GLM-4.5/5, DeepSeek, Kimi K2,
* self-hosted vLLM builds) emit chain-of-thought inline inside the `content` field using
* XML-like tags instead of the separate `reasoning_content` channel. Example:
*
* <think>the user wants foo, let me check bar</think>Here is the answer: ...
*
* This module strips those blocks structurally (tag-based), independent of English
* phrasings. Three layers:
*
* 1. `createThinkTagFilter()` — streaming state machine. Feeds deltas, emits only
* the visible (non-reasoning) portion, and buffers partial tags across chunk
* boundaries so `</th` + `ink>` still parses correctly.
*
* 2. `stripThinkTags()` — whole-text cleanup. Removes closed pairs, unterminated
* opens at block boundaries, and orphan open/close tags. Used for non-streaming
* responses and as a safety net after stream close.
*
* 3. Flush discards buffered partial tags at stream end (false-negative bias —
* prefer losing a partial reasoning fragment over leaking it).
*/
const TAG_NAMES = [
'think',
'thinking',
'reasoning',
'thought',
'reasoning_scratchpad',
] as const
const TAG_ALT = TAG_NAMES.join('|')
const OPEN_TAG_RE = new RegExp(`<\\s*(?:${TAG_ALT})\\b[^>]*>`, 'i')
const CLOSE_TAG_RE = new RegExp(`<\\s*/\\s*(?:${TAG_ALT})\\s*>`, 'i')
const CLOSED_PAIR_RE_G = new RegExp(
`<\\s*(${TAG_ALT})\\b[^>]*>[\\s\\S]*?<\\s*/\\s*\\1\\s*>`,
'gi',
)
const UNTERMINATED_OPEN_RE = new RegExp(
`(?:^|\\n)[ \\t]*<\\s*(?:${TAG_ALT})\\b[^>]*>[\\s\\S]*$`,
'i',
)
const ORPHAN_TAG_RE_G = new RegExp(
`<\\s*/?\\s*(?:${TAG_ALT})\\b[^>]*>\\s*`,
'gi',
)
const MAX_PARTIAL_TAG = 64
/**
* Remove reasoning/thinking blocks from a complete text body.
*
* Handles:
* - Closed pairs: <think>...</think> (lazy match, anywhere in text)
* - Unterminated open tags at a block boundary: strips from the tag to end of string
* - Orphan open or close tags (no matching partner)
*
* False-negative bias: prefers leaving a few tag characters in rare edge cases over
* stripping legitimate content.
*/
export function stripThinkTags(text: string): string {
if (!text) return text
let out = text
out = out.replace(CLOSED_PAIR_RE_G, '')
out = out.replace(UNTERMINATED_OPEN_RE, '')
out = out.replace(ORPHAN_TAG_RE_G, '')
return out
}
export interface ThinkTagFilter {
feed(chunk: string): string
flush(): string
isInsideBlock(): boolean
}
/**
* Streaming state machine. Feed deltas, emits visible (non-reasoning) text.
* Handles tags split across chunk boundaries by holding back a short tail buffer
* whenever the current buffer ends with what looks like a partial tag.
*/
export function createThinkTagFilter(): ThinkTagFilter {
let inside = false
let buffer = ''
function findPartialTagStart(s: string): number {
const lastLt = s.lastIndexOf('<')
if (lastLt === -1) return -1
if (s.indexOf('>', lastLt) !== -1) return -1
const tail = s.slice(lastLt)
if (tail.length > MAX_PARTIAL_TAG) return -1
const m = /^<\s*\/?\s*([a-zA-Z_]\w*)?\s*$/.exec(tail)
if (!m) return -1
const partialName = (m[1] ?? '').toLowerCase()
if (!partialName) return lastLt
if (TAG_NAMES.some(name => name.startsWith(partialName))) return lastLt
return -1
}
function feed(chunk: string): string {
if (!chunk) return ''
buffer += chunk
let out = ''
while (buffer.length > 0) {
if (!inside) {
const open = OPEN_TAG_RE.exec(buffer)
if (open) {
out += buffer.slice(0, open.index)
buffer = buffer.slice(open.index + open[0].length)
inside = true
continue
}
const partialStart = findPartialTagStart(buffer)
if (partialStart === -1) {
out += buffer
buffer = ''
} else {
out += buffer.slice(0, partialStart)
buffer = buffer.slice(partialStart)
}
return out
}
const close = CLOSE_TAG_RE.exec(buffer)
if (close) {
buffer = buffer.slice(close.index + close[0].length)
inside = false
continue
}
const partialStart = findPartialTagStart(buffer)
if (partialStart === -1) {
buffer = ''
} else {
buffer = buffer.slice(partialStart)
}
return out
}
return out
}
function flush(): string {
const held = buffer
const wasInside = inside
buffer = ''
inside = false
if (wasInside) return ''
if (!held) return ''
if (/^<\s*\/?\s*[a-zA-Z_]/.test(held)) return ''
return held
}
return { feed, flush, isInsideBlock: () => inside }
}

View File

@@ -70,7 +70,7 @@ describe('runAutoFixCheck', () => {
test('handles timeout gracefully', async () => {
const result = await runAutoFixCheck({
lint: 'sleep 10',
lint: 'node -e "setTimeout(() => {}, 10000)"',
timeout: 100,
cwd: '/tmp',

View File

@@ -46,14 +46,31 @@ async function runCommand(
const killTree = () => {
try {
if (!isWindows && proc.pid) {
if (isWindows && proc.pid) {
// shell=true on Windows can leave child commands running unless we
// terminate the full process tree.
const killer = spawn('taskkill', ['/pid', String(proc.pid), '/T', '/F'], {
windowsHide: true,
stdio: 'ignore',
})
killer.unref()
return
}
if (proc.pid) {
// Kill the entire process group
process.kill(-proc.pid, 'SIGTERM')
} else {
proc.kill('SIGTERM')
return
}
proc.kill('SIGTERM')
} catch {
// Process may have already exited
// Process may have already exited; fallback to direct child kill.
try {
proc.kill('SIGTERM')
} catch {
// Ignore final fallback errors.
}
}
}

View File

@@ -16,12 +16,21 @@ describe('getEffectiveContextWindowSize', () => {
// 8k minus 20k summary reservation = -12k, causing infinite auto-compact.
// Now the fallback is 128k and there's a floor, so effective is always
// at least reservedTokensForSummary + buffer.
//
// The exact floor depends on the max-output-tokens slot-reservation cap
// (tengu_otk_slot_v1 GrowthBook flag). With cap enabled, the model's
// default output cap drops to CAPPED_DEFAULT_MAX_TOKENS (8k), so the
// summary reservation is 8k and the floor is 8k + 13k = 21k. With cap
// disabled it's 20k + 13k = 33k. Assert the worst case so the test is
// stable regardless of flag state in CI vs local.
process.env.CLAUDE_CODE_USE_OPENAI = '1'
try {
const effective = getEffectiveContextWindowSize('some-unknown-3p-model')
expect(effective).toBeGreaterThan(0)
// Must be at least summary reservation (20k) + buffer (13k) = 33k
expect(effective).toBeGreaterThanOrEqual(33_000)
// 21k = CAPPED_DEFAULT_MAX_TOKENS (8k) + AUTOCOMPACT_BUFFER_TOKENS (13k).
// Covers the anti-regression intent of issue #635 without assuming
// the GrowthBook flag state.
expect(effective).toBeGreaterThanOrEqual(21_000)
} finally {
delete process.env.CLAUDE_CODE_USE_OPENAI
}

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