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IFOpen WebUI Langfuse filter pipeline adds a chat_id field to the request body if missing, causing models like GPT-4o to fail or return errors.

THENModify the pipeline's inlet method to stop injecting chat_id into the request body. Store chat_id internally for tracing purposes without forwarding it to the model. Apply the patch from open-webui/pipelines#388 which removes the chat_id injection.

IFChroma.from_documents fails with ValueError: Expected EmbeddingFunction.__call__ to have signature ['self', 'input'] after Chroma update to EmbeddingFunction interface (Nov 7 2023).

THENUpdate the embedding class (e.g., SagemakerEndpointEmbeddings) to call the embedding_function with a single 'input' argument. In embed_query and embed_documents, prepare input via self.prepare_input and then call self.embedding_function(input). Also adjust predict_fn to return batched tensors as a list of vectors instead of indexing the first result (e.g., change 'sentence_embeddings[0].tolist()' to 'sentence_embeddings.tolist()' for batched requests).

IFWhen using langchain with openai>=1.0.0, calling OpenAI().predict() raises AttributeError: module 'openai' has no attribute 'Completion'

THENDowngrade openai to version 0.28.1 by running 'pip install openai==0.28.1'. This restores the old API structure that langchain depends on. Alternatively, wait for an updated langchain version that supports openai v1.0.0+.

IFSporadic 400 error from AWS Bedrock when using Claude Code v2.0.42 or newer: 'tools.3.custom.input_examples: Extra inputs are not permitted'.

THENDowngrade Claude Code to version 2.0.36, which does not send the unsupported `input_examples` field in tool definitions. Note that LiteLLM's `drop_params: true` configuration does not resolve this issue for nested fields within tool definitions.