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fix breakage when cloning agent/crew using knowledge_sources and enable custom knowledge_storage (#1927)
* fix breakage when cloning agent/crew using knowledge_sources * fixed typo * better * ensure use of other knowledge storage works * fix copy and custom storage * added tests * normalized name * updated cassette * fix test * remove fixture * fixed test * fix * add fixture to this * add fixture to this * patch twice since * fix again * with fixtures * better mocks * fix * simple * try * another * hopefully fixes test * hopefully fixes test * this should fix it ! * WIP: test check with prints * try this * exclude knowledge * fixes * just drop clone for now * rm print statements * printing agent_copy * checker * linted * cleanup * better docs --------- Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
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@@ -15,20 +15,20 @@ class Knowledge(BaseModel):
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Args:
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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embedder_config: Optional[Dict[str, Any]] = None
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embedder: Optional[Dict[str, Any]] = None
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"""
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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model_config = ConfigDict(arbitrary_types_allowed=True)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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embedder_config: Optional[Dict[str, Any]] = None
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embedder: Optional[Dict[str, Any]] = None
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collection_name: Optional[str] = None
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def __init__(
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self,
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collection_name: str,
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sources: List[BaseKnowledgeSource],
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embedder_config: Optional[Dict[str, Any]] = None,
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embedder: Optional[Dict[str, Any]] = None,
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storage: Optional[KnowledgeStorage] = None,
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**data,
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):
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@@ -37,25 +37,23 @@ class Knowledge(BaseModel):
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self.storage = storage
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else:
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self.storage = KnowledgeStorage(
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embedder_config=embedder_config, collection_name=collection_name
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embedder=embedder, collection_name=collection_name
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)
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self.sources = sources
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self.storage.initialize_knowledge_storage()
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for source in sources:
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source.storage = self.storage
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source.add()
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self._add_sources()
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def query(self, query: List[str], limit: int = 3) -> List[Dict[str, Any]]:
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"""
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Query across all knowledge sources to find the most relevant information.
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Returns the top_k most relevant chunks.
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Raises:
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ValueError: If storage is not initialized.
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"""
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if self.storage is None:
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raise ValueError("Storage is not initialized.")
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results = self.storage.search(
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query,
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limit,
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@@ -63,6 +61,9 @@ class Knowledge(BaseModel):
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return results
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def _add_sources(self):
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for source in self.sources:
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source.storage = self.storage
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source.add()
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try:
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for source in self.sources:
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source.storage = self.storage
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source.add()
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except Exception as e:
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raise e
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