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Clarify tool use in agent tutorial (#4860)
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@ -114,6 +114,7 @@
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"```{note}\n",
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"Unlike in v0.2 AgentChat, the tools are executed by the same agent directly within\n",
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"the same call to {py:meth}`~autogen_agentchat.agents.AssistantAgent.on_messages`.\n",
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"By default, the agent will return the result of the tool call as the final response.\n",
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"```"
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]
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},
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@ -205,10 +206,16 @@
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"Refer to the documentation from [OpenAI](https://platform.openai.com/docs/guides/function-calling) \n",
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"and [Anthropic](https://docs.anthropic.com/en/docs/build-with-claude/tool-use) for more information about tool calling in LLMs.\n",
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"\n",
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"In AgentChat, the assistant agent can use tools to perform specific actions.\n",
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"In AgentChat, the {py:class}`~autogen_agentchat.agents.AssistantAgent` can use tools to perform specific actions.\n",
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"The `web_search` tool is one such tool that allows the assistant agent to search the web for information.\n",
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"A custom tool can be a Python function or a subclass of the {py:class}`~autogen_core.tools.BaseTool`.\n",
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"\n",
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"By default, when {py:class}`~autogen_agentchat.agents.AssistantAgent` executes a tool,\n",
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"it will return the tool's output as a string in {py:class}`~autogen_agentchat.messages.ToolCallSummaryMessage` in its response.\n",
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"If your tool does not return a well-formed string in natural language, you\n",
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"can add a reflection step to have the model summarize the tool's output,\n",
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"by setting the `reflect_on_tool_use=True` parameter in the {py:class}`~autogen_agentchat.agents.AssistantAgent` constructor.\n",
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"\n",
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"### Langchain Tools\n",
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"\n",
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"In addition to custom tools, you can also use tools from the Langchain library\n",
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@ -412,7 +419,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.5"
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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