Changes in rust/crates/api/src/providers/mod.rs:
- Add 'kimi' alias to MODEL_REGISTRY resolving to 'kimi-k2.5' with DashScope config
- Add kimi/kimi- prefix routing to DashScope endpoint in metadata_for_model()
- Add resolve_model_alias() handling for kimi -> kimi-k2.5
- Add unit tests: kimi_prefix_routes_to_dashscope, kimi_alias_resolves_to_kimi_k2_5
Users can now use:
- --model kimi (resolves to kimi-k2.5)
- --model kimi-k2.5 (auto-routes to DashScope)
- --model kimi/kimi-k2.5 (explicit provider prefix)
All 127 tests pass, clippy clean.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add structured error context to API failures:
- Request ID tracking across retries with full context in error messages
- Provider-specific error code mapping with actionable suggestions
- Suggested user actions for common error types (401, 403, 413, 429, 500, 502-504)
- Added suggested_action field to ApiError::Api variant
- Updated enrich_bearer_auth_error to preserve suggested_action
Files changed:
- rust/crates/api/src/error.rs: Add suggested_action field, update Display
- rust/crates/api/src/providers/openai_compat.rs: Add suggested_action_for_status()
- rust/crates/api/src/providers/anthropic.rs: Update error handling
All tests pass, clippy clean.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Added criterion benchmarks and optimized flatten_tool_result_content:
- Added criterion dev-dependency and request_building benchmark suite
- Optimized flatten_tool_result_content to pre-allocate capacity and avoid
intermediate Vec construction (was collecting to Vec then joining)
- Made key functions public for benchmarking: translate_message,
build_chat_completion_request, flatten_tool_result_content,
is_reasoning_model, model_rejects_is_error_field
Benchmark results:
- flatten_tool_result_content/single_text: ~17ns
- translate_message/text_only: ~200ns
- build_chat_completion_request/10 messages: ~16.4µs
- is_reasoning_model detection: ~26-42ns
All 119 unit tests and 29 integration tests pass.
cargo clippy passes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Created comprehensive MODEL_COMPATIBILITY.md documenting:
- Kimi models is_error exclusion (prevents 400 Bad Request)
- Reasoning models tuning parameter stripping (o1, o3, o4, grok-3-mini, qwen-qwq)
- GPT-5 max_completion_tokens requirement
- Qwen model routing through DashScope
Includes implementation details, key functions table, guide for adding new
models, and testing commands. Cross-referenced with existing code comments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Added 4 unit tests to verify is_error field handling for kimi models:
- model_rejects_is_error_field_detects_kimi_models: Detects kimi-k2.5, kimi-k1.5, dashscope/kimi-k2.5 (case insensitive)
- translate_message_includes_is_error_for_non_kimi_models: Verifies gpt-4o, grok-3, claude include is_error
- translate_message_excludes_is_error_for_kimi_models: Verifies kimi models exclude is_error (prevents 400 Bad Request)
- build_chat_completion_request_kimi_vs_non_kimi_tool_results: Full integration test for request building
All 119 unit tests and 29 integration tests pass.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- translate_message now conditionally includes is_error field
- kimi models (kimi-k2.5, kimi-k1.5, etc.) exclude is_error
- Other models (openai, grok, xai) keep is_error support
- Update prd.json: mark US-001 through US-007 as passes: true
- Add progress.txt: detailed implementation summary for all stories
All acceptance criteria verified:
- US-001: Startup failure evidence bundle + classifier
- US-002: Lane event schema with provenance and deduplication
- US-003: Stale branch detection with policy integration
- US-004: Recovery recipes with ledger
- US-005: Typed task packet format with TaskScope
- US-006: Policy engine for autonomous coding
- US-007: Plugin/MCP lifecycle maturity
