Standalone LLM Tool

Overview

The Standalone LLM Tool is designed to interact with a preview version of a Large Language Model (LLM) programmatically. This tool utilizes advanced reasoning and coding capabilities to generate responses based on user input prompts.

Setup

Environment Variables: Ensure that the OPENAI_API_KEY is set in your environment to authenticate API requests.
Dependencies: Make sure all dependencies are installed as per requirements.txt.

Usage

Instead of using command-line prompts, this tool can now be integrated directly into your Python projects:

Function Usage

Import the tool and use the following utility function:

from standalone_llm_tool import get_llm_response

# Parameters: prompt (str), model (str, optional), max_tokens (int, optional)
response = get_llm_response("What is AI?", model="llm-preview", max_tokens=16384)

print(response)

Features

LLM Model: Accepts a designated model parameter for flexible processing.
Prompt Handling: Accepts user input and provides comprehensive instructions or code snippets.
Dynamic Parameters: Allows customization of the model and max tokens per request.
Advanced Reasoning: Leverages the LLM's capabilities for enhanced reasoning and coding tasks.

Notes

The model and token parameters are dynamically handled, offering flexibility for various application needs.
This tool is ideal for generating detailed narratives or solving coding-related queries due to its advanced LLM capabilities.

Troubleshooting

For any issues encountered while using the tool, consider the following:

Verify API key validity and quota.
Ensure your Python environment is correctly set up with necessary dependencies.
Refer to any console logs for specific error messages to aid in debugging.

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