* Stop canonical Anthropic headers from leaking into 3P shim requests
The remaining blocker from PR #268 was that canonical Anthropic headers such as
`anthropic-version` and `anthropic-beta` could still ride through supported 3P
paths even after the earlier x-anthropic/x-claude scrubber work. This tightens
header filtering inside the shim itself so direct defaultHeaders, env-driven
client setup, providerOverride routing, and per-request header injection all
share the same scrubber.
Constraint: Preserve non-Anthropic custom headers and provider auth while stripping only Anthropic/OpenClaude-internal headers from 3P requests
Rejected: Rely on client.ts filtering alone | direct shim construction and per-request headers would still leave gaps
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Keep header scrubbing centralized in the shim so new call paths do not reopen 3P leakage bugs
Tested: bun test src/services/api/openaiShim.test.ts src/services/api/client.test.ts src/utils/context.test.ts
Tested: bun run test:provider
Tested: bun run build && node dist/cli.mjs --version
Not-tested: bun run typecheck (repository baseline currently fails in many unrelated files)
* Keep OpenAI client tests from restoring undefined env as strings
The new header-leak regression tests in client.test.ts restored environment
variables via direct assignment, which can leave literal "undefined" strings in
process.env when the original value was unset. This switches the teardown over
to the same restore helper pattern already used in openaiShim.test.ts.
Constraint: Keep the fix limited to test hygiene without altering runtime behavior
Rejected: Restore only the two env vars Copilot called out | using one helper for all test env restores is simpler and less error-prone
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Use restore helpers for env teardown in tests so unset values stay deleted instead of becoming the string "undefined"
Tested: bun test src/services/api/client.test.ts src/services/api/openaiShim.test.ts src/utils/context.test.ts
Not-tested: Full provider suite (unchanged runtime path)
* Prevent GitHub Codex requests from forwarding unsanitized Anthropic headers
A base-sync with upstream exposed a separate GitHub+Codex transport branch
that still merged per-request headers raw before adding Copilot headers.
This keeps the filter aligned across Codex-family paths and adds explicit
regression tests for GitHub Codex routing, including providerOverride.
Constraint: Must not push or modify GitHub state while validating the reviewer concern
Rejected: Leave the GitHub Codex path unchanged | runtime repro showed anthropic-* headers still leaked after the upstream sync
Confidence: high
Scope-risk: narrow
Directive: Keep header scrubbing consistent across every Codex-family transport branch when provider routing changes
Tested: bun test src/services/api/openaiShim.test.ts
Tested: bun test src/services/api/client.test.ts src/services/api/codexShim.test.ts src/services/api/providerConfig.github.test.ts
Tested: bun run build
Not-tested: Full repository test suite
Fixes#430. In normalizeSchemaForOpenAI(), the strict branch was adding every
property key to required[], including optional ones. This caused providers like
Groq, Azure OpenAI, and others to reject valid tool calls with a 400 /
tool_use_failed error because the model correctly omits optional arguments but
the provider sees them as missing required fields.
Root cause: the strict branch used `[...existingRequired, ...allKeys]` instead
of `existingRequired.filter(k => k in normalizedProps)`. The Gemini branch
already had the correct logic.
Fix: align the strict branch with the Gemini branch — only keep properties that
were already marked required in the original schema. The additionalProperties:
false constraint is preserved as strict-mode providers still require it.
Add regression test covering the Read tool schema (file_path required,
offset/limit/pages optional).
* fix: restore Grep and Glob reliability on OpenAI paths
Preserve Grep and Glob pattern fields during OpenAI/Codex schema sanitization, and fall back to system ripgrep when the packaged binary is missing. This keeps search tool schemas intact and improves Linux usability for npm/source installs.
Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>
* test: clean up ripgrep fallback test helpers
Remove the unused ripgrepCommand import and normalize mocked builtin ripgrep paths so the test behaves consistently across platforms.
Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>
* test: remove duplicate Codex URI schema case
Drop the duplicated WebFetch URI-format test in codexShim.test.ts so test names stay unique and failures remain easier to read.
Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>
* test: stabilize ripgrep fallback coverage
Avoid fs/module mocking in ripgrep fallback tests by extracting the config selection logic into a pure helper. This preserves the fallback coverage while removing the test interaction that caused the narrowed Bun hang repro.
Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>
* test: tighten ripgrep and schema coverage
Align the ripgrep fallback test with the actual auto-fallback branch, clean up strict typing in schema sanitizer tests, and tighten ripgrep error narrowing for type safety.
Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>
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Co-authored-by: Claude Opus 4.6 <noreply@openclaude.dev>
* fix: address code scanning alerts
Parse Gemini hostnames instead of matching raw URL substrings, redact gRPC error logs, and harden the Finder drag-drop test escape helper so the flagged paths are fixed without regressing working behavior.
* Potential fix for pull request finding 'CodeQL / Clear-text logging of sensitive information'
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* fix: restore safe grpc error summaries
A later autofix commit removed the exported gRPC error summarizer while the new regression test still imported it. Restore the safe name/code-only summary so CI stays green without reintroducing clear-text logging.
* fix: keep grpc logging generic
Remove the stale helper/test pair and keep the gRPC startup and stream logs free of error-derived data so the CodeQL clear-text logging alert stays closed while the rest of the security fixes remain intact.
---------
Co-authored-by: OpenClaude Worker 3 <worker-3@openclaude.local>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* fix: normalize malformed Bash tool arguments from OpenAI-compatible providers
* fix: keep invalid Bash tool args from becoming commands
* fix: preserve malformed Bash JSON literals
* test: stabilize rebased PR 385 checks
* test: isolate provider profile env assertions
* fix: extend tool argument normalization to all tools and harden edge cases
- Extend STRING_ARGUMENT_TOOL_FIELDS to normalize Read, Write, Edit,
Glob, and Grep plain-string arguments (fixes "Invalid tool parameters"
errors reported by VennDev)
- Normalize streaming Bash args regardless of finish_reason, not only
when finish_reason is 'tool_calls'
- Broaden isLikelyStructuredObjectLiteral to catch malformed object-shaped
strings like {command:"pwd"} and {'command':'pwd'} (fixes CR2 from
Vasanthdev2004)
- Apply blank/object-literal guard to all tools, not just Bash
- Extract duplicated JSON repair suffix combinations into shared constant
- Add 32 isolated unit tests for toolArgumentNormalization
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: skip streaming normalization on finish_reason length
Truncated tool calls (finish_reason: 'length') now preserve the raw
buffer instead of normalizing into executable commands, preventing
incomplete commands from becoming runnable.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: comprehensive tool argument normalization hardening
- Remove all { raw: ... } returns that caused InputValidationError with
z.strictObject schemas — return {} instead for clean Zod errors
- Extend normalizeAtStop buffering to all mapped tools (Read, Write,
Edit, Glob, Grep) so streaming paths also get normalized
- Make repairPossiblyTruncatedObjectJson generic — repair any valid
JSON object, not just ones with a command field
- Export hasToolFieldMapping for streaming normalizeAtStop decision
- Skip normalization on finish_reason: length to preserve raw truncated
buffer
- Update all test expectations to match new behavior
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Fix GLM-5 and other reasoning models appearing to hang via OpenAI shim
Reasoning models like GLM-5 and DeepSeek stream chain-of-thought in
`reasoning_content` while `content` stays empty (""). The OpenAI shim
only read `delta.content`, so it saw empty strings and never emitted
any Anthropic stream events — causing the UI to appear frozen.
- Add `reasoning_content` to streaming chunk and non-streaming response types
- Emit `reasoning_content` as thinking blocks (thinking_delta) in streaming mode
- Properly transition from thinking to text blocks when content phase begins
- Fall back to `reasoning_content` in non-streaming mode when content is null
Fixes#214
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Fix non-streaming reasoning_content fallback and add tests
- Use explicit empty-string check instead of || for content fallback
so content: "" doesn't leak reasoning_content as visible text
- Close thinking block before tool call blocks in streaming path
- Add non-streaming and streaming reasoning_content tests
Co-Authored-By: GLM-5.1 <noreply@openclaude.dev>
* Fix flaky Ink reconciler tests caused by react-compiler memoization
Remove hard throw in createTextInstance that crashed when hostContext.isInsideText
was stale due to react-compiler element caching. Add timeout guards to prevent
test hangs when render errors prevent exit() from firing.
Co-Authored-By: Claude GLM-5.1 <noreply@openclaude.dev>
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: GLM-5.1 <noreply@openclaude.dev>
Models served through Ollama/vLLM with strict Jinja templates (Devstral,
Mistral, etc.) require strict user↔assistant role alternation and reject
requests with consecutive messages of the same role.
convertMessages() could produce consecutive user or assistant messages in
three scenarios: batched user input, text-only + tool_use assistant turns,
and tool result remainders followed by another user message.
Added a coalescing pass at the end of convertMessages() that merges
consecutive same-role messages (string concat or array concat), preserving
tool_calls on assistant messages. Tool and system messages are excluded
from coalescing as they have their own alternation rules.
Includes regression tests for both user and assistant coalescing.
Fixes#202
