OpenAI returns cached token counts in usage.prompt_tokens_details.cached_tokens
but the shim hardcoded cache_read_input_tokens to 0. This made prompt
caching invisible to the cost tracker and session summary even when
OpenAI's automatic caching was actively reducing costs.
Changes:
- Extend OpenAIStreamChunk usage interface with prompt_tokens_details
- Map cached_tokens to cache_read_input_tokens in convertChunkUsage()
- Same fix in _convertNonStreamingResponse() for non-streaming path
- cache_creation_input_tokens remains 0 (OpenAI auto-caching has no
creation cost — it is free and automatic)
Replace raw === '1' || === 'true' comparisons with isEnvTruthy() in
context.ts for consistency with getAPIProvider() in providers.ts.
This also covers the newly added CLAUDE_CODE_USE_GITHUB provider.
Add native Gemini model entries (without google/ prefix) to both
context window and max output token tables. Corrects gemini-2.5-pro
and gemini-2.5-flash max output tokens to 65,536 (was 8,192/32,768).
Addresses the most critical remaining issues in the provider shim layer,
building on top of #124 (recursive schema normalization + try/finally).
openaiShim.ts:
- Throw APIError via SDK factory instead of plain Error — enables retry
on 429/503 (was completely broken: zero retries for all 3P providers)
- Guard stop_reason !== null before emitting usage-only message_delta
(Azure/Groq send usage before finish_reason)
- Fix assistant content: join text parts instead of invalid as-string cast
(Mistral rejects array content on assistant role)
- Expose real HTTP Response in withResponse() for header inspection
- Skip stream_options for local providers (Ollama < 0.5 compatibility)
codexShim.ts:
- Throw APIError at all 4 throw sites (HTTP + 3 streaming errors)
- Add tool_choice 'none' mapping (was silently ignored)
- Forward is_error flag with Error: prefix (matching openaiShim)
Split the setup documentation into a simple beginner path and a separate advanced path. Add OS-specific quick starts for Windows and macOS/Linux so non-technical users can copy and paste the right commands without sorting through Bun and source-build instructions.
- Set competing provider flags to undefined in updateSettingsForSource to ensure clean GitHub boot
- Fix resolveProviderRequest to default to github:copilot when OPENAI_MODEL is unset
- Hydrate secure tokens and managed settings in system-check.ts to prevent false negatives
- Add models:read scope to GitHub device flow
- Updated the `getAtomicChatApiBaseUrl` function to parse the base URL correctly and ensure the pathname is formatted without trailing version segments.
- Cleared search and hash components from the URL to standardize the output.
This change improves the robustness of the URL handling for the Atomic Chat provider.
Wait for failed MCP transport cleanup before command exit so targeted live checks do not crash on Windows.
Co-Authored-By: Claude <noreply@anthropic.com>
Add the MCP doctor subcommand with text and JSON output, config-only mode, and scope filtering so users can diagnose MCP issues from the CLI.
Co-Authored-By: Claude <noreply@anthropic.com>
Add the diagnostics core and report model for MCP health, scope, and config analysis. This creates the structured report used by both text and JSON doctor output.
Co-Authored-By: Claude <noreply@anthropic.com>
The version kill-switch calls Anthropic's GrowthBook endpoint to
enforce a minimum version. This is currently safe for 3P users only
because isAnalyticsDisabled() returns true (disabling GrowthBook).
Adding an explicit provider guard makes this safety independent of the
analytics stub, preventing 3P users from being blocked by Anthropic's
version requirements in case of future upstream merges.
Pin all GitHub Actions to commit SHA instead of mutable version tags
to prevent supply chain attacks via tag poisoning. This is especially
important for third-party actions like oven-sh/setup-bun.
Add provider guard to migrateSonnet1mToSonnet45() so it only runs for
firstParty (Anthropic) users. Without this, a 3P user with
model='sonnet[1m]' would have it rewritten to an Anthropic-specific
alias that is invalid for OpenAI/Gemini/Ollama providers.
- Make getProviderLabel() switch exhaustive with explicit openai/gemini
arms instead of falling through to env-var checks in default
- Add clarifying comment on additionalProperties override in schema
normalization
Partially addresses #112. The streaming reader in openaiStreamToAnthropic
had no error handling - if an error occurred during streaming, the reader
lock was never released. Wrapped the while loop in try/finally to ensure
reader.releaseLock() is always called.
Partially addresses #39. The cost threshold dialog hardcoded
'Anthropic API' in the title, which is misleading for users on
OpenAI, Gemini, Ollama, or other providers. Now detects the active
provider via getAPIProvider() and shows the correct label.
Fixes#111. normalizeSchemaForOpenAI only processed the top-level
object schema, leaving nested objects untouched. OpenAI strict mode
rejects schemas where nested objects have properties not listed in
their required array, causing 400 errors on tools with nested params.
Now recurses into properties, items, and anyOf/oneOf/allOf combinators
(matching the pattern used by enforceStrictSchema in codexShim.ts).
Also adds additionalProperties: false to nested objects in strict mode.
Build verified passing.
- Updated the message for the OPENAI_API_KEY check to include Atomic Chat as an allowed local provider.
- Introduced a new function to check if the base URL corresponds to Atomic Chat, enhancing the system's ability to identify local providers.
- Adjusted the Ollama processor mode check to skip processing when an Atomic Chat local provider is detected.
