- OpenAI-compat: emit minimal text block when only reasoning_content streams
(e.g. NIM) so clients get a text segment.
- Provider prereq: pass if text or thinking content is non-empty after strip.
- Add unit test for reasoning-only stream placeholder text.
- Make AnthropicToOpenAIConverter stateful: assistant text after tool_use is
deferred until matching tool_result, then replayed as a follow-up assistant
turn.
- After native streamed tool_use, emit top-level SSE error on transport
failure instead of assistant text_delta (avoids bad transcript shape).
- Add NIM preflight, streaming, converter, and product smoke regressions.
- Point DeepSeek at api.deepseek.com/anthropic with x-api-key headers
- Native request builder, DeepSeek-specific thinking/block sanitization
- Drop deepseek from OpenAI-chat server-tool preflight; update tests and docs
- Default smoke model deepseek-v4-pro; re-export dump_raw_messages_request
- Add ReasoningReplayMode and top-level reasoning replay in OpenAI conversion
- DeepSeek/NIM request bodies use reasoning_content when thinking is enabled
- NIM retries without reasoning_content on 400 from upstream
- Per-provider smoke models (FCC_SMOKE_MODEL_*) independent of MODEL mapping
- Fix smoke model override parsing for owner/model names with slashes
- Live smoke: reasoning tool continuation uses synthetic thinking+tool history
- Tests and docs updated
Consolidates the incremental refactor work into a single change set: modular web tools (api/web_tools), native Anthropic request building and SSE block policy, OpenAI conversion and error handling, provider transports and rate limiting, messaging handler and tree queue, safe logging, smoke tests, and broad test coverage.
Support use ollama method like LM stuio
---------
Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
Co-authored-by: u011436427 <u011436427@noreply.gitcode.com>
- Updated DEFAULT_TARGETS in config.py to include new targets: clients, llamacpp, and lmstudio, while removing contract and optimizations.
- Introduced TARGET_ALIASES for better target management.
- Added TARGET_REQUIRED_ENV to specify environment variables needed for each target.
- Enhanced SmokeOutcome in report.py to include classification of outcomes for better reporting.
- Implemented classify_outcome function to categorize smoke test results.
- Added new test for stop endpoint in test_api_live.py to ensure proper error handling.
- Updated test_auth_live.py to enforce auth token requirements and utilize environment files.
- Changed target from vscode to clients in test_client_shapes_live.py.
- Removed obsolete test_feature_manifest.py and test_stream_contracts.py files.
- Added new skip helpers in skips.py to manage upstream unavailability scenarios.
- Created new tests for local provider endpoints in test_local_provider_endpoints_live.py.
- Added comprehensive feature inventory tests in tests/contracts/test_feature_manifest.py.
- Implemented stream contract tests in tests/contracts/test_stream_contracts.py.
## Summary
- add an opt-in local `smoke/` pytest suite for API, auth, providers,
CLI, IDE-shaped requests, messaging, voice, tools, and thinking stream
contracts
- keep smoke tests out of normal CI collection with `testpaths =
["tests"]`
- write sanitized smoke artifacts under `.smoke-results/`
## Verification
- `uv run ruff format`
- `uv run ruff check`
- `uv run ty check`
- `uv run ty check smoke`
- `FCC_LIVE_SMOKE=1 FCC_SMOKE_TARGETS=all FCC_SMOKE_RUN_VOICE=1 uv run
pytest smoke -n 0 -m live -s --tb=short` -> 17 passed, 9 skipped
- `uv run pytest` -> 904 passed
## Notes
- Skipped live checks require local credentials/tools/services, such as
provider models, Telegram/Discord targets, voice backend, or Claude CLI.
- `claude-pick` smoke was intentionally removed.
