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>
This commit is contained in:
Lorenze Jay
2025-01-29 06:37:22 -08:00
committed by GitHub
parent c3e7a3ec19
commit a3ad2c1957
13 changed files with 626 additions and 92 deletions

View File

@@ -61,6 +61,7 @@ class Agent(BaseAgent):
tools: Tools at agents disposal
step_callback: Callback to be executed after each step of the agent execution.
knowledge_sources: Knowledge sources for the agent.
embedder: Embedder configuration for the agent.
"""
_times_executed: int = PrivateAttr(default=0)
@@ -122,17 +123,10 @@ class Agent(BaseAgent):
default="safe",
description="Mode for code execution: 'safe' (using Docker) or 'unsafe' (direct execution).",
)
embedder_config: Optional[Dict[str, Any]] = Field(
embedder: Optional[Dict[str, Any]] = Field(
default=None,
description="Embedder configuration for the agent.",
)
knowledge_sources: Optional[List[BaseKnowledgeSource]] = Field(
default=None,
description="Knowledge sources for the agent.",
)
_knowledge: Optional[Knowledge] = PrivateAttr(
default=None,
)
@model_validator(mode="after")
def post_init_setup(self):
@@ -163,10 +157,11 @@ class Agent(BaseAgent):
if isinstance(self.knowledge_sources, list) and all(
isinstance(k, BaseKnowledgeSource) for k in self.knowledge_sources
):
self._knowledge = Knowledge(
self.knowledge = Knowledge(
sources=self.knowledge_sources,
embedder_config=self.embedder_config,
embedder=self.embedder,
collection_name=knowledge_agent_name,
storage=self.knowledge_storage or None,
)
except (TypeError, ValueError) as e:
raise ValueError(f"Invalid Knowledge Configuration: {str(e)}")
@@ -225,8 +220,8 @@ class Agent(BaseAgent):
if memory.strip() != "":
task_prompt += self.i18n.slice("memory").format(memory=memory)
if self._knowledge:
agent_knowledge_snippets = self._knowledge.query([task.prompt()])
if self.knowledge:
agent_knowledge_snippets = self.knowledge.query([task.prompt()])
if agent_knowledge_snippets:
agent_knowledge_context = extract_knowledge_context(
agent_knowledge_snippets