# 0xzee/streamlit_langgraph_chatbot architecture

> Architecture diagram of the GitHub repository 0xzee/streamlit_langgraph_chatbot, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/0xzee/streamlit_langgraph_chatbot
- Repository: https://github.com/0xzee/streamlit_langgraph_chatbot

## Overview

This is a Streamlit chat app backed by a LangGraph workflow and Groq inference. The user starts a session, selects a model and thread ID, submits a prompt, and sees the assistant response; the interface also displays chat history as JSON. The engine invokes the selected model and uses in-memory checkpointing for thread-scoped workflow state. Model selection can rebuild the engine. The README describes these capabilities; the graph reflects the supplied source, not unsampled implementation details.

Main entry points: [`chat_engine.py`](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py) (ChatBot engine), [`main.py`](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/main.py) (Chat UI and sessions)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_interface["Chat interface"]
  node_app["Chat UI and sessions<br/>[main.py]"]
end

subgraph group_engine["Chat engine"]
  node_bot["ChatBot engine<br/>[chat_engine.py]"]
  node_workflow["LangGraph workflow<br/>[chat_engine.py]"]
end

subgraph group_integrations["Runtime integrations"]
  node_checkpoint[("Memory checkpoint<br/>[chat_engine.py]")]
  node_groq["Groq inference"]
end

node_user(("Chat user"))

node_user -->|"uses"| node_app
node_app -->|"creates"| node_bot
node_app -->|"updates model"| node_bot
node_app -->|"submits prompt"| node_bot
node_bot -->|"invokes"| node_workflow
node_workflow -->|"invokes model"| node_groq
node_workflow -->|"reads and writes"| node_checkpoint
node_workflow -->|"returns response"| node_bot
node_bot -->|"returns result"| node_app

click node_app "https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/main.py"
click node_bot "https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py"
click node_workflow "https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py"
click node_checkpoint "https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_app,node_user toneBlue
class node_bot,node_workflow toneAmber
class node_checkpoint,node_groq toneMint
```

## Components

### Chat interface

- [Chat UI and sessions](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/main.py): `main.py`

### Chat engine

- [ChatBot engine](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py): `chat_engine.py`
- [LangGraph workflow](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py): `chat_engine.py`

### Runtime integrations

- [Memory checkpoint](https://github.com/0xzee/streamlit_langgraph_chatbot/blob/main/chat_engine.py): `chat_engine.py`
- **Groq inference**

### Other components

- **Chat user**

## Connections

- Chat user → Chat UI and sessions: uses
- Chat UI and sessions → ChatBot engine: creates
- Chat UI and sessions → ChatBot engine: updates model
- Chat UI and sessions → ChatBot engine: submits prompt
- ChatBot engine → LangGraph workflow: invokes
- LangGraph workflow → Groq inference: invokes model
- LangGraph workflow → Memory checkpoint: reads and writes
- LangGraph workflow → ChatBot engine: returns response
- ChatBot engine → Chat UI and sessions: returns result