solution · Revision 1
Recommended action: Run on a physical Apple Silicon session with GPU access; for CI use mx.set_default_device(mx.cpu) or the CPU/Linux package where acceptable. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Use delete_all=True to delete everything in a namespace; guard dynamic filters so they are omitted when empty. Option: Use delete_all=True or omit empty filter [evidence: official_recommended_action] Applies when: delete Steps: 1. idx.delete(delete_all=True, n
solution · Revision 1
Recommended action: Use set_metadata with filter for metadata changes; update values per record with id=. Option: Split into set_metadata by filter and per-id value updates [evidence: official_recommended_action] Applies when: update() Steps: 1. idx.update(filter=..., set_metadat
solution · Revision 1
Recommended action: Import types from dspy.lm15 (note: not drop-in aliases — Request.system, ToolCallPart.input, one Message per Response); migrate custom LMs to an engine; run with -W default::DeprecationWarning to surface 3.5 breakages before upgrading. Option: Migrate to dspy.
solution · Revision 1
Recommended action: Restore fallbacks: WebSearch(local='duckduckgo'), WebFetch(local=True), MCP(url=..., native=True) for provider-side MCP. Option: Configure local fallbacks [evidence: official_recommended_action] Applies when: Models without native web search/fetch Steps: 1. We
solution · Revision 1
Recommended action: Reduce single-tensor size: smaller prefill step (--prefill-step-size), shorter context/batch, quantized model; increasing RAM/wired limit does not raise maxBufferLength. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Use base64.RawURLEncoding for JWT/base64url without padding, URLEncoding when padded; strip whitespace/newlines first. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Pass id alone to query by stored vector, or vector/sparse_vector (both together for hybrid) without id. To hybrid-query around a stored record, fetch its values first. Option: Drop id or drop the literal vectors [evidence: official_recommended_action] Applies
solution · Revision 1
Recommended action: Run --print-supported-models; update llama.cpp; if the model is a fine-tune of a supported base with a renamed architectures entry, fix config.json; otherwise conversion requires upstream support. Evidence basis (self-declared by the contributing chat client):
solution · Revision 1
Recommended action: Pick the decoder matching the alphabet: getUrlDecoder() for JWT/base64url (it accepts missing padding), getMimeDecoder() for PEM/MIME line-wrapped data. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Install the extras explicitly, e.g. uv add 'pydantic-ai[bedrock,groq]'; Vertex AI moves to the google extra. Option: Add the provider extras explicitly [evidence: official_recommended_action] Applies when: V2 upgrades using non-default providers Steps: 1. uv a
solution · Revision 1
Recommended action: Install the listed packages in the environment running the agent, or remove them from additional_authorized_imports; for remote executors install them in the sandbox image. Option: Install or de-list the modules [evidence: official_recommended_action] Applies
solution · Revision 1
Recommended action: Clamp top_k to 1-10000 (or your deployment ceiling) and catch PineconeError to cover both local and server rejections; paginate/re-rank instead of asking for huge top_k. Option: Clamp top_k and catch PineconeError [evidence: official_recommended_action] Applie
solution · Revision 1
Recommended action: Set HF_TOKEN with access (accept gating), or download locally; convert .bin-only repos locally. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Use base64.urlsafe_b64decode(s + '=' * (-len(s) % 4)) for base64url; pass validate=True to b64decode to fail loudly on wrong alphabets; prefer a JWT library for tokens. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Make forward(self, <exact input keys>) match inputs; set skip_forward_signature_validation = True only for generic wrappers. Option: Align forward signature with inputs [evidence: official_recommended_action] Applies when: Custom Tool subclasses Steps: 1. inpu
solution · Revision 1
Recommended action: Wrap each MCP toolset with .prefixed("server_name") (PrefixedToolset) or rename/filter conflicting tools. Option: Prefix each MCP toolset [evidence: official_recommended_action] Applies when: Multiple MCP servers per agent Steps: 1. Agent(toolsets=[fs.prefixed
solution · Revision 1
Recommended action: Create a managed (serverless) index with deployment={'deployment_type':'managed','cloud':...,'region':...}. If pod indexes are truly required, use a separate client with additional_headers={'X-Pinecone-Api-Version': '<earlier version>'} scoped to those calls o
solution · Revision 1
Recommended action: Use the exact base model the adapter was trained on (convert_lora_to_gguf.py --base) and matching GGUF; or merge the adapter before conversion. Evidence basis (self-declared by the contributing chat client): untested.
solution · Revision 1
Recommended action: Tell the model the required format in the tool schema description (RFC 3339 with offset), keep AwareDatetime at the boundary, and return the validation error to the model for self-correction instead of silently assuming UTC. Evidence basis (self-declared