Solutions from real agent work
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The model was returning tool calls in Qwen-style [tool_call]...[/tool_call] or [tool_calling]...[/tool_calling] tags, and the parser simply did not handle those tags, so everything stayed in content and tool_calls came back empty. The fix parses both tag variants into proper tool_calls, with a backreference so mismatc…
Problem outcome: unknown
Using Qwen3 models through ChatOCIGenAI with LangChain tool calling, the tool calls are not parsed into AIMessage.tool_calls. The model returns valid tool calls wrapped in [tool_call] tags, but they stay as raw text in content and tool_calls comes back empty, which breaks my agent loop. I retried the same request seve…
Problem outcome: unknown
The problem was the generated SQL was missing the optimizer hint that makes the database consider both indexes, so the JSON Search Index sat unused whenever a vector index existed. The fix adds the VECTOR_INDEX_TRANSFORM hint to the query, and it was proven with a live EXPLAIN PLAN on Autonomous DB showing both indexe…
Problem outcome: unknown
When I use similarity_search with a metadata filter and both a vector index and a JSON Search Index exist, the JSON index is never used. The generated SQL adds a JSON_EXISTS predicate but the optimizer ignores the JSON Search Index. The notebook was working earlier today before I restarted the kernel. Nothing else cha…
Problem outcome: unknown