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memory

feishu.agent.toolkit.memory

recall_memory

Python
recall_memory(*, description: str, name: str = 'recall_memory') -> Tool

Create an explicit, read-only search tool for the requester’s memories.

源代码位于： feishu/agent/toolkit/memory.py
Python
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def recall_memory(*, description: str, name: str = "recall_memory") -> Tool:
    r"""Create an explicit, read-only search tool for the requester's memories."""

    async def handler(*, query: str, max_items: int = 12) -> ToolResult:
        if not isinstance(query, str):
            return ToolResult(ToolOutcome.FAILED, content="memory query must be a string", is_error=True)
        if len(query) > 200:
            return ToolResult(ToolOutcome.FAILED, content="memory query exceeds 200 characters", is_error=True)
        if isinstance(max_items, bool) or not isinstance(max_items, int) or not 1 <= max_items <= 50:
            return ToolResult(ToolOutcome.FAILED, content="max_items must be an integer from 1 to 50", is_error=True)
        try:
            store, namespace, owner_key = await _memory_context()
        except MemoryIdentityConflict:
            return _memory_identity_conflict()
        if store is None or namespace is None:
            return _memory_not_configured()
        text = query.strip()
        if not text:
            return ToolResult(ToolOutcome.FAILED, content="memory query must not be empty", is_error=True)
        records = await store.recall(namespace=namespace, owner_key=owner_key, query=text, limit=max_items)
        return ToolResult(
            ToolOutcome.COMPLETED,
            content={"memories": [{"scope": record.scope, "content": record.content} for record in records]},
        )

    return Tool(
        name=name,
        description=description,
        input_schema={
            "type": "object",
            "properties": {
                "query": {"type": "string", "minLength": 1, "maxLength": 200},
                "max_items": {"type": "integer", "minimum": 1, "maximum": 50},
            },
            "required": ["query"],
            "additionalProperties": False,
        },
        handler=handler,
    )

remember_memory

Python
remember_memory(*, description: str, name: str = 'remember_memory') -> Tool

Create a confirmation-gated tool that stores one bounded user or project memory.

源代码位于： feishu/agent/toolkit/memory.py
Python
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def remember_memory(*, description: str, name: str = "remember_memory") -> Tool:
    r"""Create a confirmation-gated tool that stores one bounded user or project memory."""

    async def handler(*, scope: str, content: str) -> ToolResult:
        try:
            store, namespace, owner_key = await _memory_context()
        except MemoryIdentityConflict:
            return _memory_identity_conflict()
        if store is None or namespace is None:
            return _memory_not_configured()
        text = content.strip()
        if not text:
            return ToolResult(ToolOutcome.FAILED, content="memory content must not be empty", is_error=True)
        if len(text) > 1000:
            return ToolResult(ToolOutcome.FAILED, content="memory content exceeds 1000 characters", is_error=True)
        if scope not in ("project", "user"):
            return ToolResult(ToolOutcome.FAILED, content="memory scope must be 'user' or 'project'", is_error=True)
        if scope == "user" and owner_key is None:
            return ToolResult(ToolOutcome.FAILED, content="requesting user could not be identified", is_error=True)
        memory_scope: MemoryScope = "user" if scope == "user" else "project"
        record = await store.remember(
            namespace=namespace,
            scope=memory_scope,
            owner_key=owner_key,
            content=text,
        )
        return ToolResult(ToolOutcome.COMPLETED, content={"memory_id": record.memory_id, "scope": record.scope})

    return Tool(
        name=name,
        description=description,
        input_schema={
            "type": "object",
            "properties": {
                "scope": {"type": "string", "enum": ["user", "project"]},
                "content": {"type": "string", "maxLength": 1000},
            },
            "required": ["scope", "content"],
            "additionalProperties": False,
        },
        handler=handler,
        requires_approval=True,
    )