| """ |
| Knowledge Forge — synthesizes and retrieves knowledge from the agent's |
| knowledge web. Combines past solutions, extracted concepts, and |
| LLM reasoning to produce informed responses. |
| """ |
| from typing import Optional |
|
|
|
|
| class KnowledgeForge: |
| """ |
| Knowledge synthesis tool. |
| |
| Queries the agent's knowledge web for past solutions, |
| combines relevant information, and produces synthesized responses. |
| """ |
|
|
| def __init__(self, knowledge_web=None, llm_call_fn=None): |
| self._knowledge = knowledge_web |
| self._llm = llm_call_fn |
|
|
| async def synthesize(self, query: str, context: str = "") -> str: |
| """ |
| Synthesize knowledge from past solutions and LLM reasoning. |
| """ |
| |
| if self._knowledge: |
| past = await self._knowledge.query_solution(query) |
| if past: |
| return f"[Knowledge Web] {past['summary']}\n\n{past['result']}" |
|
|
| |
| if self._llm: |
| prompt = f"""Provide a well-informed response based on available knowledge. |
| |
| Query: {query} |
| Context: {context[:500]} |
| |
| Be accurate and cite any sources you reference.""" |
| return await self._llm(prompt, model_hint="balanced", max_tokens=1000) |
|
|
| return f"Knowledge synthesis unavailable for: {query}" |
|
|
| async def extract_concepts(self, text: str) -> list[str]: |
| """Extract key concepts from text for knowledge web indexing.""" |
| if not text: |
| return [] |
|
|
| prompt = f"""Extract the 3-5 most important concepts from this text. |
| Return as a comma-separated list. |
| |
| Text: {text[:500]} |
| |
| Concepts:""" |
| if self._llm: |
| try: |
| raw = await self._llm(prompt, model_hint="fast", max_tokens=100) |
| return [c.strip() for c in raw.split(",") if c.strip()] |
| except Exception: |
| pass |
|
|
| |
| words = text.lower().split() |
| important = [w for w in words if len(w) > 4 and w.isalpha()] |
| return list(set(important[:5])) |
|
|
