How to force models to call a tool | ️ LangChain 强制我们的 LLM 选择特定的工具,我们可以使用tool_choice参数来确保某些行为 llm_forced_to_multiply = llm.bind_tools(tools, tool_choice="Multiply") llm_forced_to_multiply.invoke("what is 2 + 4") 还可以通过向参数传递“any”(或“required”...
我正在经历同样的问题。
tool_choice="auto", ) print(response.choices[0].message) Python 调用示例 { "id": "8231168139794583938", "model": "glm-4", "request_id": "8231168139794583938", "created": 1703490288, "choices": [ { "finish_reason": "tool_calls", "index": 0, "message": { "role": "assistant", "...
tools=tools, tool_choice="auto", )print(response.choices[0].message) Python 调用示例 {"id":"8231168139794583938","model":"glm-4","request_id":"8231168139794583938","created":1703490288,"choices": [ {"finish_reason":"tool_calls","index":0,"message": {"role":"assistant","tool_calls":...
completions.create(model="glm-4",# 填写需要调用的模型名称messages=messages,tools=tools,tool_choice...
tool_choice = {"type":"function", "function": {"name":"weather_monuments_call"}} ) response = llm_with_tools.invoke("What is weather in San Fracisco in celsius and what are best places to visit in San Fracisco?") response.tool_calls ...
我们还可以通过向参数传递“any”(或“required”(OpenAI 特有的)关键字来强制我们的工具选择至少一种工具tool_choice。 如何禁用并行工具调用 How to disable parallel tool calling | ️ LangChain OpenAI 工具调用默认并行执行工具调用。 parallel_tool_call参数强制它只调用一次单个工具 llm_with_tools = llm.bin...
logger.warn "WARNING: parallel_tool_calls is not supported by AWS Bedrock Anthropic currently" tool_choice_object = {} case choice when "auto" tool_choice_object[:type] = "auto" when "any" tool_choice_object[:type] = "any" else tool_choice_object[:type] = "tool" tool_choice_object...
fromlangchain.agentsimportinitialize_agent, Toolfromlangchain.llmsimportOpenAI llm = OpenAI(temperature=0)defsearch_order(input: str)-> str:return"订单状态:已发货;发货日期:2023-01-01;预计送达时间:2023-01-10"defrecommend_product(input: str)-> str:return"iPhone 15 Pro"deffaq(intput: str)->...
判断输入，来选择应该使用的chain。LLM内置使用的Prompt如下，其大意就是根据用户输入的问题，返回choice中...