Creates the standard knowledge store layout with SKILL.md files.
| PARAMETER | DESCRIPTION |
mention_tool | When True (default), the root SKILL.md instructs the LLM to use the knowledge tool. Set to False when the store is configured with expose_tool=False so the prompt does not reference a tool the LLM cannot call. TYPE: bool DEFAULT: True |
Source code in autogen/beta/knowledge/bootstrap.py
| def __init__(self, mention_tool: bool = True) -> None:
self._mention_tool = mention_tool
|
async
bootstrap(store, actor_name)
Source code in autogen/beta/knowledge/bootstrap.py
| async def bootstrap(self, store: KnowledgeStore, actor_name: str) -> None:
if self._mention_tool:
root_intro = "This is your persistent knowledge store. Use the `knowledge` tool to manage it."
else:
root_intro = (
"This is the agent's persistent knowledge store. "
"It is read and written by framework policies and "
"aggregation strategies — there is no tool exposed to "
"the model for direct access."
)
await store.write(
"/SKILL.md",
f"# {actor_name} Knowledge Store\n\n"
f"{root_intro}\n\n"
"## Directories\n"
"- `/log/` -- Conversation history (auto-managed)\n"
"- `/artifacts/` -- External files and data\n"
"- `/memory/` -- Working memory and summaries (auto-managed)\n",
)
await store.write(
f"{LOG_PREFIX}SKILL.md",
"Conversation logs. Each file is a JSONL record of one conversation's events. "
"Auto-populated by the framework after each conversation.",
)
await store.write(
"/artifacts/SKILL.md",
"External data: uploaded files, downloaded content, reference materials. "
"Write here to store data you want to reference later.",
)
await store.write(
"/memory/SKILL.md",
"Working memory and conversation summaries. "
"`working.md` contains your current persistent state. "
"`conversations/` contains per-conversation summaries. "
"Both are auto-updated by aggregation strategies.",
)
|