The test used a relative path 'litellm/model_prices_and_context_window.json'
which only works when pytest runs from a specific working directory.
Use os.path based on __file__ to resolve the path reliably.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test used a fixed side_effect list for time.time(), but the number
of calls varies by Python version, causing StopIteration on 3.12 and
AssertionError on 3.14. Replace with an infinite counter-based callable
and assert the timestamp was updated rather than checking for an exact
value.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add testing and build verification steps per maintainer feedback
from @yjiang-litellm. Contributors should run their related tests
per-file and ensure npm run build passes before opening PRs.
Move ModelResponseStream to module-level import so MyPy can properly
narrow the Union type after isinstance checks, removing the need for
type: ignore suppressions.
After narrowing ModelResponse.choices to List[Choices], several files
still assigned StreamingChoices into ModelResponse. Migrate streaming
call sites to ModelResponseStream and remove dead streaming branches
in qwen2/qwen3 transform_response methods.
* docs: add OpenClaw integration tutorial
* docs: simplify OpenClaw proxy start command
* docs: rewrite OpenClaw integration guide for clarity
- Use gpt-5 as default model
- Replace poetry run with standard litellm CLI
- Add prerequisites section and verification step
- Simplify onboarding instructions (table format)
- Move manual config and troubleshooting to bottom
- Add multi-model config (claude-sonnet, gemini-flash)
* docs: fix model name in OpenClaw manual config example
* docs: rewrite OpenClaw integration guide from scratch
Rewrote the guide based on hands-on testing of every command.
Key changes:
- Replace non-existent `openclaw chat` with verified commands
(dashboard, tui, agent --agent main)
- Add 3 onboarding options: QuickStart, Manual, and non-interactive
- Fix health check (requires Bearer token)
- Remove misleading "Starting from scratch" section
- Use gpt-4o instead of gpt-5 as the example model
- Clarify that API keys can come from export, .env, or any method
- Add config reference section showing openclaw.json structure
- Add real troubleshooting based on issues found during testing
