{"id":24829486,"url":"https://github.com/sureshbeekhani/langgraph-based-ai-agent-chatbot","last_synced_at":"2026-05-08T04:12:11.158Z","repository":{"id":274830772,"uuid":"923949804","full_name":"SURESHBEEKHANI/LangGraph-based-AI-Agent-Chatbot","owner":"SURESHBEEKHANI","description":"The LangGraph-based AI Agent Chatbot is an open-source project that leverages the power of LangGraph, FastAPI, and Streamlit ","archived":false,"fork":false,"pushed_at":"2025-01-29T16:05:21.000Z","size":6,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T02:11:09.494Z","etag":null,"topics":["fastapi","groq-models","langgraph","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SURESHBEEKHANI.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-29T05:58:26.000Z","updated_at":"2025-01-29T16:38:24.000Z","dependencies_parsed_at":"2025-01-29T17:20:01.461Z","dependency_job_id":"eeed612f-23eb-4ca1-8a78-28077d65bd6e","html_url":"https://github.com/SURESHBEEKHANI/LangGraph-based-AI-Agent-Chatbot","commit_stats":null,"previous_names":["sureshbeekhani/langgraph-based-ai-agent-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SURESHBEEKHANI/LangGraph-based-AI-Agent-Chatbot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FLangGraph-based-AI-Agent-Chatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FLangGraph-based-AI-Agent-Chatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FLangGraph-based-AI-Agent-Chatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FLangGraph-based-AI-Agent-Chatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SURESHBEEKHANI","download_url":"https://codeload.github.com/SURESHBEEKHANI/LangGraph-based-AI-Agent-Chatbot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FLangGraph-based-AI-Agent-Chatbot/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260268615,"owners_count":22983601,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["fastapi","groq-models","langgraph","streamlit"],"created_at":"2025-01-30T23:26:01.799Z","updated_at":"2026-05-08T04:12:11.129Z","avatar_url":"https://github.com/SURESHBEEKHANI.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LangGraph-based AI Agent Chatbot\n\nThis project is a LangGraph-based AI Agent Chatbot deployed on Hugging Face Spaces. It uses FastAPI for the backend and Streamlit for the frontend.\n\n## Features\n\n- Define custom AI agents with system prompts.\n- Select from a list of Groq models.\n- Optionally allow the agent to perform web searches.\n- Interact with the AI agent through a user-friendly interface.\n\n## Requirements\n\n- Docker\n- Python 3.9+\n\n## Setup\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/yourusername/LangGraph-based-AI-Agent-Chatbot.git\ncd LangGraph-based-AI-Agent-Chatbot\n```\n\n### 2. Create a `.env` File\n\nCreate a `.env` file in the root directory and add your API keys:\n\n```plaintext\nGROQ_API_KEY=your_groq_api_key\nTAVILY_API_KEY=your_tavily_api_key\n```\n\n### 3. Build and Run the Docker Container\n\n```bash\ndocker build -t langgraph-ai-agent .\ndocker run -p 8501:8501 -p 9999:9999 langgraph-ai-agent\n```\n\n### 4. Access the Application\n\nOpen your browser and go to `http://localhost:8501` to access the Streamlit frontend.\n\n## File Structure\n\n- `frontend.py`: Streamlit app for the user interface.\n- `backend.py`: FastAPI app for handling API requests.\n- `ai_agent.py`: Logic for interacting with the AI agent.\n- `Dockerfile`: Docker configuration for containerizing the application.\n- `requirements.txt`: List of Python dependencies.\n\n## Usage\n\n1. Define your AI agent by entering a system prompt.\n2. Select a Groq model from the list.\n3. Optionally enable web search.\n4. Enter your query and click \"Ask Agent!\" to get a response.\n\n## License\n\nThis project is licensed under the MIT License.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Flanggraph-based-ai-agent-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsureshbeekhani%2Flanggraph-based-ai-agent-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Flanggraph-based-ai-agent-chatbot/lists"}