- 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
