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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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@@ -43,7 +43,7 @@ Think of an agent as a specialized team member with specific skills, expertise,
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| **Max Retry Limit** _(optional)_ | `max_retry_limit` | `int` | Maximum number of retries when an error occurs. Default is 2. |
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| **Respect Context Window** _(optional)_ | `respect_context_window` | `bool` | Keep messages under context window size by summarizing. Default is True. |
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| **Code Execution Mode** _(optional)_ | `code_execution_mode` | `Literal["safe", "unsafe"]` | Mode for code execution: 'safe' (using Docker) or 'unsafe' (direct). Default is 'safe'. |
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| **Embedder Config** _(optional)_ | `embedder_config` | `Optional[Dict[str, Any]]` | Configuration for the embedder used by the agent. |
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| **Embedder** _(optional)_ | `embedder` | `Optional[Dict[str, Any]]` | Configuration for the embedder used by the agent. |
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| **Knowledge Sources** _(optional)_ | `knowledge_sources` | `Optional[List[BaseKnowledgeSource]]` | Knowledge sources available to the agent. |
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| **Use System Prompt** _(optional)_ | `use_system_prompt` | `Optional[bool]` | Whether to use system prompt (for o1 model support). Default is True. |
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@@ -152,7 +152,7 @@ agent = Agent(
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use_system_prompt=True, # Default: True
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tools=[SerperDevTool()], # Optional: List of tools
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knowledge_sources=None, # Optional: List of knowledge sources
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embedder_config=None, # Optional: Custom embedder configuration
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embedder=None, # Optional: Custom embedder configuration
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system_template=None, # Optional: Custom system prompt template
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prompt_template=None, # Optional: Custom prompt template
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response_template=None, # Optional: Custom response template
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@@ -324,6 +324,13 @@ agent = Agent(
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verbose=True,
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allow_delegation=False,
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llm=gemini_llm,
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embedder={
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"provider": "google",
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"config": {
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"model": "models/text-embedding-004",
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"api_key": GEMINI_API_KEY,
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}
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}
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)
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task = Task(
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