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fix(agent): validate context/memory tool schemas before wrapping
Closes #47707 Context engines and memory providers expose tool schemas via get_tool_schemas(). agent_init.py wrapped each as {"type":"function","function":_schema} without validating that _schema carries a top-level name. A provider returning an entry already in OpenAI tool form ({"type":"function","function":{...}}) was then double-wrapped into a tool whose function has no name. Strict providers (e.g. DeepSeek) reject the entire request with HTTP 400 'tools[N].function: missing field name', so one malformed schema silently disables the whole toolset and breaks every turn. The schema was also never added to valid_tool_names, so even lenient providers could not call it. Add a shared normalize_tool_schema() helper that unwraps an already-wrapped entry and returns None for anything lacking a resolvable string name. Wire it into the agent_init context-engine loop and all three memory_manager surfaces (inject_memory_provider_tools, add_provider routing index, get_all_tool_schemas), so a single bad plugin schema is skipped with a warning instead of poisoning the request. Verification: 209 targeted agent/memory tests pass (incl. 9 new). New tests assert the unwrap + skip-nameless behavior and fail without the fix.
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3 changed files with 177 additions and 16 deletions
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@ -1621,16 +1621,27 @@ def init_agent(
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for t in agent.tools
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if isinstance(t, dict)
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}
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for _schema in agent.context_compressor.get_tool_schemas():
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_tname = _schema.get("name", "")
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if _tname and _tname in _existing_tool_names:
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from agent.memory_manager import normalize_tool_schema as _normalize_tool_schema
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for _raw_schema in agent.context_compressor.get_tool_schemas():
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_schema = _normalize_tool_schema(_raw_schema)
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if _schema is None:
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# A schema with no resolvable name (e.g. an already-wrapped
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# entry) would append a nameless tool that strict providers
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# 400 on, disabling the whole toolset (#47707). Skip it.
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_ra().logger.warning(
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"Context engine returned a tool schema with no resolvable "
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"name; skipping to avoid poisoning the request (%r)",
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_raw_schema,
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)
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continue
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_tname = _schema["name"]
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if _tname in _existing_tool_names:
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continue # already registered via plugin/cache path
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_wrapped = {"type": "function", "function": _schema}
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agent.tools.append(_wrapped)
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if _tname:
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agent.valid_tool_names.add(_tname)
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agent._context_engine_tool_names.add(_tname)
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_existing_tool_names.add(_tname)
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agent.valid_tool_names.add(_tname)
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agent._context_engine_tool_names.add(_tname)
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_existing_tool_names.add(_tname)
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# Notify context engine of session start
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if hasattr(agent, "context_compressor") and agent.context_compressor:
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