Example-4: Importing all functions from another Python file In this scenario, Let us take the compute.py file but with one more function added to compute compound interest. Here, we will import all the functions present in compute.py file. The compute.py contains two functions to compute sim...
Function callingに関して、実際に動かして試した結果をLangChain Agentと比較しつつご紹介しました。比較結果でも述べた通り、現状はライブラリの使い所を上手く考えて付き合っていく必要があるかと思いますが、OpenAI側もLangChain等のライブラリ側もお互いを追いながらアップデートし続けている状...
tools=[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA",},"format":{"type":"string","enum":[...
The temperature is 30 degrees Celsius"}], "tools": [{ "type": "function", "function": { "name": "convert_temperature", "description": "Convert temperature from one unit to another", "parameters": ... } }, { "type": "function", "function": {"name": "get_current_date", "...
Calling C# Named parameter function from using the powershell Calling Function from Script Block Calling NMAP from PowerShell and capturing the results Calling one PowerShell Script from Another Calling powershell script from C# code with administrator privileges Calling powershell Script in an HTML But...
In my opinion this is not designed properly - _DEBUG should control debug-ness of the module and python itself should use a different one, but this is probably topic for another day. Trying it out Once we build the module using cmake, we can finally give...
this function from another Lambda function within the same region. This is a useful scenario in which we may need to execute a second lambda function based on the outcome of some previous logic. Another scenario may be to execute a second lambda function several times by using different ...
The university is ranked #{ranking} in the world with {no_of_students} students." Powered By Create the Python list, which consists of student one description, random prompt, and school one description. The random prompt is added to validate the automatic function calling mechanic. We will ...
Try a python function calling example: # if openai not installed, do `pip install openai` from openai import OpenAI client = OpenAI(api_key="123", base_url = "http://localhost:1234/v1/") tools = [ { "type": "function", "function": { "name": "get_current_weather", "descriptio...
According to Anthropic documentation, we are required to pass "thinking" back to message.[].content to generate the NEXT action when in function calling model. However, this doesn't seem to work with the latest version of litellm. See repro script below Relevant log output # Repro script: ...