Claude models accessed through Google Cloud Code Assist API require
explicit id fields in both functionCall and functionResponse parts.
Without these IDs, the API returns 'tool_use.id: Field required' error.
Add requiresToolCallId() helper to centralize the Claude model detection
and include IDs in both tool call and tool result message conversions.
* Avoid cross-provider thought signatures
* Fix Google thought signature replay
Filter thought signatures to same provider with base64 validation and rename the transform helper for clarity.
- Store thoughtSignature on text blocks during streaming (all 3 providers)
- Replay textSignature as thoughtSignature in convertMessages
- Remove redundant conditional since retainThoughtSignature handles undefined
Per Google docs, text part signatures are optional but recommended for
high-quality reasoning in multi-turn conversations.
- isThinkingPart now only checks thought === true, not thoughtSignature
- thoughtSignature is for context replay and can appear on any part type
- Store thoughtSignature on text blocks as textSignature for proper replay
- Remove id from functionCall/functionResponse (unsupported by Vertex/Cloud Code Assist)
Refs: https://ai.google.dev/gemini-api/docs/thought-signatures
Co-authored-by: Amp <amp@ampcode.com>
Renamed from supportsStreamOptions to clarify this controls stream_options: { include_usage: true }.
Defaults to true (no behavioral change for existing providers).
Providers like gatewayz.ai that reject this parameter can set supportsUsageInStreaming: false in model config.
Based on #596 by @XesGaDeus
OpenRouter with models like openai/gpt-5.2 enforces strict mode which
requires all properties in the required array. Setting strict: false
allows optional parameters without null unions, matching the approach
already used in openai-responses.ts.
lm-studio hosted openai-like api endpoint requires this parameter to either be a defined boolean, or not specifying this option entirely. null will fail the API validation.
- Remove <thinking> tag generation from google-shared.ts, transorm-messages.ts, openai-completions.ts
- Thinking blocks now convert to plain text when switching models (prevents models mimicking tags)
- Skip empty thinking blocks to avoid API errors
- Keep thinking blocks only when same provider AND same model
fixes#561
Three related fixes:
1. google-gemini-cli: Handle abort signal in stream reading loop
- Add abort event listener to cancel reader immediately when signal fires
- Fix AbortError detection in retry catch block (fetch throws AbortError,
not our custom message)
- Swallow reader.cancel() rejection to avoid unhandled promise
2. agent-session: Fix retry attempt counter showing 0 on cancel
- abortRetry() was resetting _retryAttempt before the catch block could
read it for the error message
3. interactive-mode: Restore main escape handler on agent_start
- When auto-retry starts, onEscape is replaced with retry-specific handler
- auto_retry_end (which restores it) fires on turn_end, after streaming begins
- Now restore immediately on agent_start if retry handler is still active
Amended: suppress reader.cancel() rejection on abort.
Google streaming may emit thoughtSignature without thought=true (including empty-text signature-only parts). Treat non-empty thoughtSignature as thinking to avoid leaking reasoning into normal text and retain signature across streaming deltas. Add unit test coverage.
Previously all openai-codex models had pricing set to 0, causing the
TUI to always show $0.00 for cost tracking.
Updated pricing based on OpenAI Standard tier rates:
- gpt-5.2/gpt-5.2-codex: $1.75/$14.00 per 1M tokens
- gpt-5.1/gpt-5.1-codex/gpt-5.1-codex-max: $1.25/$10.00 per 1M tokens
- gpt-5/gpt-5-codex: $1.25/$10.00 per 1M tokens
- codex-mini-latest: $1.50/$6.00 per 1M tokens
- gpt-5-mini/gpt-5.1-codex-mini/gpt-5-codex-mini: $0.25/$2.00 per 1M tokens
- gpt-5-nano: $0.05/$0.40 per 1M tokens
Source: https://platform.openai.com/docs/pricing
- Add sessionId to StreamOptions for providers that support session-based caching
- OpenAI Codex provider uses sessionId for prompt_cache_key and routing headers
- Agent class now accepts and forwards sessionId to stream functions
- coding-agent passes session ID from SessionManager and updates on session changes
- Update ai package README with table of contents, OpenAI Codex OAuth docs, and env vars table
- Increase Codex instructions cache TTL from 15 minutes to 24 hours
- Add tests for sessionId forwarding in ai and agent packages
- Remove per-thinking-level model variants (gpt-5.2-codex-high, etc.)
- Remove thinkingLevels from Model type
- Provider clamps reasoning effort internally
- Omit reasoning field when thinking is off
fixes#472
- Add LoginDialogComponent with proper borders (top/bottom DynamicBorder)
- Refactor all OAuth providers to use racing approach (browser callback vs manual paste)
- Add onEscape handler to Input component for cancellation
- Add abortable sleep for GitHub Copilot polling (instant cancel on Escape)
- Show OS-specific click hint (Cmd+click on macOS, Ctrl+click elsewhere)
- Clear content between login phases (fixes GitHub Copilot two-phase flow)
- Use InteractiveMode's showStatus/showError for result messages
- Reorder providers: Anthropic, ChatGPT, GitHub Copilot, Gemini CLI, Antigravity
Previously, users had to wait up to 60 seconds for the browser callback
to timeout before being prompted to paste the authorization code. This
was problematic for SSH/VPS sessions where the callback cannot work.
Now the paste input is shown immediately alongside the browser flow:
- Browser callback and manual paste race - whichever completes first wins
- Desktop users: browser callback succeeds, input is cleaned up
- SSH/VPS users: paste code immediately without waiting
Changes:
- Add cancelWait() to OAuth server for early termination of polling loop
- Add onManualCodeInput callback that races with browser callback
- Show paste input immediately in TUI for openai-codex provider
- Clean up input on success, error, or when browser callback wins
Co-authored-by: cc-vps <crcatala+vps@gmail.com>
Previously the system prompt was converted to an input message in convertMessages,
then stripped out by filterPiSystemPrompts. Now the system prompt is passed directly
to transformRequestBody and appended after CODEX_PI_BRIDGE in the bridge message.
