function call格式,主要有两种格式Openai function call 和React模式的 [{"role": "system", "content": "You are a helpful assistant with access to the following functions. Use them if required -\n{\n \"name\": \"calculate_loan_payment\",\n \"description\": \"Calculate the monthly loan p...
OpenAI Json-mode/Structured Outputs/function-calling: 这些功能允许模型生成更严格、结构化的输出,但受限于openAI平台。 格式约束:在decoding阶段进行约束,限制模型的输出, Prompt Engineering: 最简单的办法,但不稳定。 多阶段prompting: 通过多个步骤的提示逐步引导模型生成所需的格式。 本文将聚焦在Structured Outputs...
be told that it can call an external function to calculate the price of a complex security. Using this information, the model would be able to write code that calculates the value of a portfolio made up of these securities, without having to possess specialized knowledge on securities pricing....
AgentActionMessageLog(tool='percentage_difference',tool_input={'metric1': 100, 'metric2': 110},log="\nInvoking: `percentage_difference` with `{'metric1': 100, 'metric2': 110}`\n\n\n",message_log=[AIMessage(cont...
''' pass llm.impl(instruction="去年三月到七月")(calculate_time_range)()You can use verbose=True to get more information about the function implementation:@llm.impl() def add_one_day(current_day:Annotated[datetime,"当前日期,类型是datatime.datetime"])->Time: ''' 给传入的日期加一天,得到明...
t = llm.chat_oai([{ "content":"xxxxx", "role":"user" }], impl_func=calculate_time_range, impl_func_params={}, response_class=TimeRange,execute_impl_func=True) If you want to replace the default prompt template function, here is a example: import pydantic from typing import List,...
Otherwise, the function calculates thepass@kusing thenp.prodfunction from the NumPy library. The expression1.0 - k / np.arange(n - c + 1, n + 1)creates an array of values that, when multiplied together, give the same result as the combination formula C(n−c,k)/C(n,k), but in...
In this case, we need to pass an LLM model to initialise a memory object because LangChain needs to know the model to calculate the number of tokens. In all approaches we’ve discussed above, we stored the exact conversation or at least parts of it. However, we don’t need to do it...
add_function("search", search) # Define the tools tools = [ { "type": "function", "function": { "name": "calculate", "description": "Evaluate a mathematical expression", "parameters": { "type": "object", "properties": { "expression": { "type": "string", "description": "The ...
We will be evaluating the text-embedding-ada-002 and text-embedding-3-small (we will call them ada-002 and 3-small in the rest of the tutorial) embedding models from OpenAI, so first, let’s define a function to generate embeddings using OpenAI’s Embeddings API: 1 def get_embeddings(...