Local models (Ollama, vLLM) sometimes return tool calls as text instead
of using the native tool_calls wire format. This adds a safety-net
extractor that parses tool calls from model text output when native
tool_calls is empty.
- Add text-tool-extractor with support for bare JSON, code fences,
and Hermes <tool_call> tags
- Wire fallback into OpenAI adapter chat() and stream() paths
- Add onWarning callback when model ignores configured tools
- Add timeoutMs on AgentConfig for per-run abort (local models can
be slow)
- Add 26 tests for extractor and fallback behavior
- Document local model compatibility in README
1. Fix header comment — document correct env var precedence
(apiKey → GITHUB_COPILOT_TOKEN → GITHUB_TOKEN → device flow)
2. Use application/x-www-form-urlencoded for device code endpoint
3. Use application/x-www-form-urlencoded for poll endpoint
4. Add mutex (promise-based) on #getSessionToken to prevent
concurrent token refreshes and duplicate device flow prompts
5. Add DeviceCodeCallback + CopilotAdapterOptions so callers can
control device flow output instead of hardcoded console.log
6. Extract shared OpenAI wire-format helpers into openai-common.ts,
imported by both openai.ts and copilot.ts (-142 lines net)
7. Update createAdapter JSDoc to mention copilot env vars
JackChen
Deathwing