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* docs(benchmark): archive ExpG tool-use results under toolmemory Add ToolMemory benchmark materials and link them from the root and benchmark READMEs so ReMe documents the ExpG tool-use enhancement work. Co-authored-by: Cursor <cursoragent@cursor.com> * docs: point ToolMemory news entry directly to the paper Co-authored-by: Cursor <cursoragent@cursor.com> * docs(benchmark): address ToolMemory review and pre-commit Restore benchmark index READMEs, link ExpG to WangCan1178/ExpG instead of ReMe version notes, and format tool_memory.py for CI hooks. Co-authored-by: Cursor <cursoragent@cursor.com> * docs(benchmark): align ToolMemory client with official ReMe APIs Drop ExpG-only request fields and non-official metadata handling so the archived client matches add/summary/retrieve Tool Memory endpoints. Co-authored-by: Cursor <cursoragent@cursor.com> * docs(benchmark): fix trailing whitespace in ToolMemory READMEs Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>
234 lines
7.9 KiB
Python
234 lines
7.9 KiB
Python
"""Official-style ReMe Tool Memory HTTP helpers.
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Aligned with ReMe Tool Memory HTTP APIs (see ReMe cookbook
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``use_tool_memory_demo.py`` and docs under ``docs/tool_memory/``):
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- ``add_tool_call_result``
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- ``summary_tool_memory``
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- ``retrieve_tool_memory``
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Response memories are read from ``metadata.memory_list[].content``.
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This module does not use ExpG-only fields such as ``no_persist``,
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``source_task``, or ``add_to``.
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"""
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from __future__ import annotations
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import logging
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from typing import Any, Dict, List, Optional
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import httpx
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logger = logging.getLogger(__name__)
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DEFAULT_BASE_URL = "http://localhost:8002"
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class ToolMemoryFetcher:
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"""HTTP client for ReMe Tool Memory endpoints."""
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def __init__(
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self,
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workspace_id: str,
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base_url: str = DEFAULT_BASE_URL,
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timeout: float = 60.0,
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) -> None:
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self.workspace_id = workspace_id
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self.base_url = base_url.rstrip("/")
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self.timeout = timeout
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def _url(self, endpoint: str) -> str:
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return f"{self.base_url}/{endpoint.lstrip('/')}"
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@staticmethod
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def _join_tool_names(tool_names: List[str] | str) -> str:
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if isinstance(tool_names, str):
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return tool_names
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return ",".join(tool_names)
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@staticmethod
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def _memory_list(payload: Dict[str, Any]) -> List[Dict[str, Any]]:
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metadata = payload.get("metadata") or {}
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if not isinstance(metadata, dict):
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return []
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memory_list = metadata.get("memory_list") or []
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return memory_list if isinstance(memory_list, list) else []
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@classmethod
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def _content_by_tool(cls, payload: Dict[str, Any]) -> Dict[str, str]:
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result: Dict[str, str] = {}
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for memory in cls._memory_list(payload):
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if not isinstance(memory, dict):
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continue
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tool_name = str(memory.get("when_to_use") or "").strip()
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content = memory.get("content") or ""
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if tool_name:
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result[tool_name] = str(content)
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return result
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async def add_tool_call_result_async(
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self,
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tool_call_results: List[Dict[str, Any]],
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) -> Dict[str, Any]:
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"""Call ``add_tool_call_result``."""
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async with httpx.AsyncClient() as client:
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response = await client.post(
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self._url("add_tool_call_result"),
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json={
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"workspace_id": self.workspace_id,
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"tool_call_results": tool_call_results,
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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async def summary_tool_memory_async(
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self,
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tool_names: List[str] | str,
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) -> Dict[str, Any]:
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"""Call ``summary_tool_memory``."""
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async with httpx.AsyncClient() as client:
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response = await client.post(
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self._url("summary_tool_memory"),
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json={
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"workspace_id": self.workspace_id,
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"tool_names": self._join_tool_names(tool_names),
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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async def retrieve_tool_memory_async(
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self,
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tool_names: List[str] | str,
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) -> Dict[str, Any]:
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"""Call ``retrieve_tool_memory``."""
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async with httpx.AsyncClient() as client:
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response = await client.post(
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self._url("retrieve_tool_memory"),
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json={
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"workspace_id": self.workspace_id,
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"tool_names": self._join_tool_names(tool_names),
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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async def collect_memory_async(
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self,
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tool_names: List[str],
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) -> Dict[str, str]:
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"""Summarize then retrieve guidance for tools.
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Returns:
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Mapping from tool name to memory ``content`` string.
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"""
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if not tool_names:
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return {}
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names = self._join_tool_names(tool_names)
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try:
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summary = await self.summary_tool_memory_async(names)
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if not summary.get("success"):
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logger.warning("summary_tool_memory failed for %s", names)
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except Exception as exc: # noqa: BLE001
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logger.warning("summary_tool_memory error for %s: %s", names, exc)
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try:
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retrieved = await self.retrieve_tool_memory_async(names)
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except Exception as exc: # noqa: BLE001
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logger.warning("retrieve_tool_memory error for %s: %s", names, exc)
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return {}
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if not retrieved.get("success"):
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logger.warning("retrieve_tool_memory failed for %s", names)
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return {}
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return self._content_by_tool(retrieved)
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def add_tool_call_result(
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self,
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tool_call_results: List[Dict[str, Any]],
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) -> Dict[str, Any]:
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"""Sync wrapper for ``add_tool_call_result``."""
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with httpx.Client() as client:
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response = client.post(
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self._url("add_tool_call_result"),
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json={
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"workspace_id": self.workspace_id,
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"tool_call_results": tool_call_results,
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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def summary_tool_memory(self, tool_names: List[str] | str) -> Dict[str, Any]:
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"""Sync wrapper for ``summary_tool_memory``."""
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with httpx.Client() as client:
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response = client.post(
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self._url("summary_tool_memory"),
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json={
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"workspace_id": self.workspace_id,
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"tool_names": self._join_tool_names(tool_names),
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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def retrieve_tool_memory(self, tool_names: List[str] | str) -> Dict[str, Any]:
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"""Sync wrapper for ``retrieve_tool_memory``."""
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with httpx.Client() as client:
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response = client.post(
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self._url("retrieve_tool_memory"),
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json={
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"workspace_id": self.workspace_id,
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"tool_names": self._join_tool_names(tool_names),
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},
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timeout=self.timeout,
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)
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response.raise_for_status()
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return response.json()
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def collect_memory(self, tool_names: List[str]) -> Dict[str, str]:
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"""Sync wrapper for summarize + retrieve.
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Prefer ``collect_memory_async`` inside an existing event loop.
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"""
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if not tool_names:
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return {}
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names = self._join_tool_names(tool_names)
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try:
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summary = self.summary_tool_memory(names)
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if not summary.get("success"):
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logger.warning("summary_tool_memory failed for %s", names)
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except Exception as exc: # noqa: BLE001
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logger.warning("summary_tool_memory error for %s: %s", names, exc)
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try:
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retrieved = self.retrieve_tool_memory(names)
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except Exception as exc: # noqa: BLE001
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logger.warning("retrieve_tool_memory error for %s: %s", names, exc)
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return {}
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if not retrieved.get("success"):
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logger.warning("retrieve_tool_memory failed for %s", names)
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return {}
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return self._content_by_tool(retrieved)
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def get_memory_content(
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self,
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tool_names: List[str] | str,
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) -> Optional[str]:
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"""Retrieve and join memory contents for the given tools."""
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payload = self.retrieve_tool_memory(tool_names)
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if not payload.get("success"):
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return None
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contents = [content for content in self._content_by_tool(payload).values() if content]
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return "\n\n".join(contents) if contents else None
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