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* refactor(typing): narrow Any sources across providers, proxy and guardrails (wave 1) * refactor(typing): narrow Any sources across hubs, providers and proxy (wave 2) * refactor(typing): validate RunwayML task JSON and let dotprompt loaders accept exported prompts * fix: restore pass-through behavior on paths the typing pass tightened MCP client IP extraction trusts X-Forwarded-For only when use_x_forwarded_for is True, dotprompt skips a malformed JSON prompt entry instead of raising, RunwayML task payloads pass through unvalidated, and a malformed provider body raises the same AttributeError as before at the CompactifAI, Gemini, and mock transport parse sites * fix(runwayml): keep a malformed 2xx task body on the 500 path * fix(edenai,cli): keep a non-object body in the error and fail on a malformed migration report EdenAI's embedding and image generation parse dropped a non-object body from the error they raised, so the message no longer named what the provider sent. A helper now raises with the body in the message, and both paths have a regression test. `lite encryption migrate` exited 0 with no message when the proxy's report was not an object or its residual_legacy was not a number, where base crashed. It now fails with a message naming the value. The CompactifAI and Gemini image-edit non-object body tests accept TypeError or AttributeError, which both base and this branch raise, so they guard against a ValidationError instead of pinning one class. RunwayML's async parse gets the same non-object body test as the sync one. * fix: keep base's error classes, duck-typed checks and fail-closed guardrails the typing pass changed * test: annotate the new regression tests' locals with Final * test: annotate the remaining new test locals with Final |
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| .. | ||
| agents | ||
| litellm_responses_transformation | ||
| __init__.py | ||
| background_cost_polling.py | ||
| http_handler.py | ||
| main.py | ||
| streaming_iterator.py | ||
| utils.py | ||