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This app presents two types of agents: 'Tool Calling' and 'ReAct' using LangChain. GPT models from OpenAI and Gemini models from Google are supported, but only the 'ReAct' type of agent is implemented for Gemini models.
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For GPT models, your OpenAI API key is needed. You can obtain an API key from https://platform.openai.com/account/api-keys.
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For Gemini models, your Google API key is needed. You can obtain an API key from https://levelup.gitconnected.com/api-tutorial-how-to-use-bing-web-search-api-in-python-4165d5592a7e.
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For internet searches, obtain your Bing Subscription Key here or Google CSE ID here.
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Temperature can be set by the user
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Voice recognition and Text-To-Speech (TTS) functionalities are supported using OpenAI functions, and therefore are enabled only when you use GPT models from OpenAI.
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Recording of the user's voice is stopped when there is no input for 3 seconds.
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In addition to the search tools from Bing or Google, ArXiv, Wikipedia, Retrieval (RAG), and pythonREPL are supported. (PythonREPL from LangChain is still experimental, so caution is needed.)
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Tracing LLM messages is possible using LangSmith if you download the source code and run it on your machine or server. For this, you need a LangChain API key that can be obtained here.
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When running the code on your machine or server, you can use st.secrets to keep and fetch your API keys as environments variables. For such secrets management, see this page.
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streamlit run LangChain_llm_Agent.py