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* Refactor Bedrock response stream shape handling - Introduced a module-level constant `BEDROCK_RESPONSE_STREAM_SHAPE` to cache the response stream shape, eliminating the need for per-instance caching in `BedrockEventStreamDecoderBase`. - Updated relevant methods to utilize the new constant, improving performance by avoiding redundant loading of the shape. - Added tests to ensure the shape is loaded correctly at import time and is consistent across different modules. - Added a new mock server script for testing Bedrock pass-through functionality. * Refactor response parsing for Bedrock and SageMaker - Improved code readability by formatting the parsing method calls in `AWSEventStreamDecoder` for both Bedrock and SageMaker response stream shapes. - Added blank lines for better separation of code blocks in `invoke_handler.py` and `common_utils.py` to enhance maintainability. * Enhance error handling for Bedrock and SageMaker response stream shape loading - Wrapped the loading logic in `_load_bedrock_response_stream_shape` and `_load_sagemaker_response_stream_shape` with try-except blocks to gracefully handle exceptions. - Added logging to warn when the response stream shape cannot be pre-loaded, ensuring the module imports cleanly. - Updated tests to verify that loading failures return `None` instead of propagating exceptions. * Implement error handling for missing response stream shapes in Bedrock and SageMaker - Added checks in `_parse_message_from_event` methods to raise appropriate errors when `BEDROCK_RESPONSE_STREAM_SHAPE` or `SAGEMAKER_RESPONSE_STREAM_SHAPE` is None, ensuring clearer error reporting. - Updated logging messages to reflect the unavailability of event-stream decoding for both Bedrock and SageMaker. - Enhanced unit tests to verify that the correct exceptions are raised when the response stream shapes are not loaded. |
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| amazon_nova/chat | ||
| anthropic | ||
| azure | ||
| azure_ai | ||
| base_llm | ||
| baseten/chat | ||
| bedrock | ||
| bedrock_mantle | ||
| black_forest_labs | ||
| bytez/chat | ||
| chat | ||
| chatgpt | ||
| cloudflare | ||
| cohere | ||
| cometapi/chat | ||
| compactifai | ||
| crusoe | ||
| custom_httpx | ||
| dashscope | ||
| databricks | ||
| datarobot | ||
| deepgram | ||
| deepinfra | ||
| docker_model_runner | ||
| elevenlabs | ||
| featherless_ai/chat | ||
| fireworks_ai | ||
| gemini | ||
| github_copilot | ||
| heroku | ||
| hosted_vllm | ||
| huggingface | ||
| jina_ai/embedding | ||
| lemonade | ||
| litellm_proxy | ||
| llamafile/chat | ||
| lm_studio | ||
| manus | ||
| meta_llama | ||
| minimax | ||
| mistral | ||
| moonshot | ||
| nebius | ||
| novita/chat | ||
| nscale/chat | ||
| nvidia_riva | ||
| oci | ||
| ocr | ||
| ollama | ||
| openai | ||
| openai_like | ||
| openrouter | ||
| ovhcloud | ||
| perplexity | ||
| pg_vector/vector_stores | ||
| publicai | ||
| ragflow/chat | ||
| recraft | ||
| runwayml | ||
| s3_vectors | ||
| sagemaker | ||
| sambanova | ||
| sap | ||
| scaleway | ||
| snowflake | ||
| stability | ||
| vercel_ai_gateway | ||
| vertex_ai | ||
| volcengine | ||
| voyage/rerank | ||
| wandb | ||
| watsonx | ||
| xai | ||
| zai | ||
| test_cache_control_and_reasoning.py | ||
| test_file_search_responses.py | ||
| test_lifecycle_fix.py | ||
| test_oom_fixes.py | ||
| test_polling_url_origin_match.py | ||
| test_predibase_transformation.py | ||