When you have enough information from the tool results, respond directly to the user with a text message without having to call the tool again. """ system_prompt=INSTRUCTION INSTRUCTION为最后注入到系统提示中的字符串,他又包含了TOOL_EAXMPLE、tools_instructions、REUTRN_FORMAT三个部分。TOOL_EAXMPLE用...
"" return first_int * second_int tools=[multiply] llm = ChatTongyi(model="qwen-turbo") llm_with_tools = llm.bind_tools(tools) query="what is 3*12?" messages = [HumanMessage(query)] ai_msg = llm_with_tools.invoke(messages) messages.append(ai_msg) for tool_call in ai_msg.tool_...
ai_msg = llm_with_tools.invoke(messages) messages.append(ai_msg) for tool_call in ai_msg.tool_calls: selected_tool = {"add": add, "multiply": multiply}[tool_call["name"].lower()] tool_output = selected_tool.invoke(tool_call["args"]) messages.append(ToolMessage(tool_output, tool_...
SystemMessagefromlangchain_core.toolsimporttool@tooldefmultiply(first_int:int, second_int:int) ->int:"""Multiply two integers together."""returnfirst_int * second_int
Function Calling 这一技术让开发者能够定义函数(也被称为工具(tools),可以将其视为模型要执行的操作,如进行数学运算或下订单),并让模型智能地选择并输出一个包含调用这些函数所需参数的 JSON 对象。简单来说,这一技术具备以下功能: 自主决策(Autonomous decision making):模型能够智能地选择所需工具来回答问题。
{'name': 'is_power_of_two', 'arguments': {'n': 8}}{'name': 'is_power_of_two', 'arguments': {'n': 1233}}</calls>---getdivision: Divides two numbers by making an API call to a division calculator service.</tools><calls>...
Update tu vllm 0.3.3 2dabe7a New implementation including guided tools calls de43c00 Bugfixes in the example dca852a Format fc6f98b FlorianJoncourmentioned this pull requestMar 6, 2024 OpenAI Tools / function calling#2488 Closed simon-moself-assigned thisMar 6, 2024 ...
vllm/entrypoints/openai/tools.py Outdated function_call = Function(name=call["call"], arguments=json.dumps(arguments) if arguments is not None else "") return ChatCompletionMessageToolCall(id="call_" + call["call"] + Collaborator esmeetu Feb 1, 2024 call['name'] better? 'name...
译自How to Build an AI Agent With Semantic Router and LLM Tools,作者 Janakiram MSV。 在上一篇文章中,我介绍了语义路由器: 一种使AI 代理能够为正确的任务选择正确的 LLM 的模式,同时还减少了它们对 LLM 的依赖。在本教程的后续内容中,我们将使用语义路由器项目通过选择最佳信息检索方式(例如是否使用向量...
Creating tools with LLMs requires multiple components, such as vector databases, chains, agents, document splitters, and many other new tools. However, one of the most crucial components is the LLM…