b9c4ed3b15
* catch contextwindowexceeded error * fix(core): detect Google token limit errors as ContextWindowExceededError Google's error message says "input token count exceeds the maximum number of tokens allowed" which doesn't contain the word "context", so it was falling through to generic LLMBadRequestError instead of ContextWindowExceededError. This means compaction won't auto-trigger. Expands the detection to also match "token count" and "tokens allowed" in addition to the existing "context" keyword. 🐾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * fix(core): add missing message arg to LLMBadRequestError in OpenAI client The generic 400 path in handle_llm_error was constructing LLMBadRequestError without the required message positional arg, causing TypeError in prod during summarization. 🐾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * ci: add adapters/ test suite to core unit test matrix 🐾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * fix(tests): update adapter error handling test expectations to match actual behavior The streaming adapter's error handling double-wraps errors: the AnthropicStreamingInterface calls handle_llm_error first, then the adapter catches the result and calls handle_llm_error again, which falls through to the base class LLMError. Updated test expectations to match this behavior. 🐾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * fix(core): prevent double-wrapping of LLMError in stream adapter The AnthropicStreamingInterface.process() already transforms raw provider errors into LLMError subtypes via handle_llm_error. The adapter was catching the result and calling handle_llm_error again, which didn't recognize the already-transformed LLMError and wrapped it in a generic LLMError("Unhandled LLM error"). This downgraded specific error types (LLMConnectionError, LLMServerError, etc.) and broke retry logic that matches on specific subtypes. Now the adapter checks if the error is already an LLMError and re-raises it as-is. Tests restored to original correct expectations. 🐾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> --------- Co-authored-by: Letta <noreply@letta.com>
54 KiB
54 KiB