# makeshkumar103/chatbot-backend architecture

> Architecture diagram of the GitHub repository makeshkumar103/chatbot-backend, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-08-14). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/makeshkumar103/chatbot-backend
- Repository: https://github.com/makeshkumar103/chatbot-backend

## Overview

#### Purpose and Entry Point
This is a compact Python chatbot application organized under `app/`. The likely executable entry point is `app/main.py`, which composes the chatbot, configuration, context, and tool layers. Package initialization is in `app/__init__.py`.

#### Application Orchestration
`app/main.py` is the top-level control boundary: it should receive user interaction, initialize application dependencies, invoke chatbot behavior, and emit a response. `app/chatbot.py` contains the conversational orchestration and is the primary domain component.

Paths: `app/main.py`, `app/chatbot.py`, `app/__init__.py`

#### Configuration and Runtime Setup
`app/config.py` centralizes runtime configuration, keeping environment- or deployment-specific values outside conversational logic. The repository declares a Python dependency environment through `requirements.txt`; installation is documented with `uv pip install -r requirements.txt`.

Paths: `app/config.py`, `requirements.txt`, `README.md`

#### Context and Knowledge Inputs
`app/context.py` represents the boundary for assembling or retrieving context supplied to the chatbot. Static repository knowledge appears to include `app/summary.txt` and `app/linkedin.pdf`; these are likely source artifacts used to ground responses rather than application code.

Paths: `app/context.py`, `app/summary.txt`, `app/linkedin.pdf`

#### Models and Structured Data
`app/models.py` defines structured application data exchanged between orchestration, context, and tools. This layer should isolate message, request, response, or domain schemas from implementation logic in the chatbot and runtime entry point.

Paths: `app/models.py`, `app/chatbot.py`, `app/main.py`

#### Tool Integration Boundary
`app/tools.py` encapsulates callable capabilities available to the chatbot. This creates a separation between conversational decision-making in `app/chatbot.py` and side-effecting or retrieval-oriented operations, allowing tools to be changed independently.

Paths: `app/tools.py`, `app/chatbot.py`, `app/models.py`

#### Primary Flow and External Boundaries
The expected control flow is: `app/main.py` initializes configuration → passes user input to `app/chatbot.py` → chatbot obtains grounded material through `app/context.py` and optional operations through `app/tools.py` → structured values from `app/models.py` support the final response. The repository explicitly establishes only a Python runtime and package dependencies; no specific hosted infrastructure, database, API provider, or external service is identifiable from the supplied tree and README.

Main entry points: [`app/chatbot.py`](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/chatbot.py) (Chatbot Orchestrator), [`app/main.py`](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/main.py) (Application Entry), [`app/context.py`](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/context.py) (Context Assembly), [`app/models.py`](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/models.py) (Structured Models)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_runtime["Application Runtime"]
  node_main["Application Entry<br/>Python module<br/>[main.py]"]
  node_chatbot["Chatbot Orchestrator<br/>Python module<br/>[chatbot.py]"]
  node_config["Runtime Configuration<br/>Python module<br/>[config.py]"]
  node_context["Context Assembly<br/>Python module<br/>[context.py]"]
  node_tools["Tool Integration<br/>Python module<br/>[tools.py]"]
  node_models["Structured Models<br/>Python module<br/>[models.py]"]
  node_package["App Package<br/>Python package<br/>[__init__.py]"]
end

subgraph group_knowledge["Knowledge Sources"]
  node_summary["Profile Summary<br/>text knowledge<br/>[summary.txt]"]
  node_linkedin["LinkedIn Profile<br/>PDF knowledge<br/>[linkedin.pdf]"]
end

node_requirements["Python Dependencies<br/>dependency manifest<br/>[requirements.txt]"]
node_readme["Setup Documentation<br/>[README.md]"]

node_main -->|"loads"| node_config
node_main -->|"invokes"| node_chatbot
node_main -->|"uses request/response"| node_models
node_chatbot -->|"requests grounding"| node_context
node_chatbot -->|"invokes capabilities"| node_tools
node_chatbot -->|"exchanges schemas"| node_models
node_context -->|"reads"| node_summary
node_context -->|"reads"| node_linkedin
node_tools -->|"uses schemas"| node_models
node_requirements -.->|"provides runtime packages"| node_main
node_readme -.->|"documents installation"| node_requirements

click node_main "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/main.py"
click node_chatbot "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/chatbot.py"
click node_config "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/config.py"
click node_context "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/context.py"
click node_tools "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/tools.py"
click node_models "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/models.py"
click node_package "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/__init__.py"
click node_summary "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/summary.txt"
click node_linkedin "https://github.com/makeshkumar103/chatbot-backend/blob/main/app/linkedin.pdf"
click node_requirements "https://github.com/makeshkumar103/chatbot-backend/blob/main/requirements.txt"
click node_readme "https://github.com/makeshkumar103/chatbot-backend/blob/main/README.md"

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_main,node_chatbot,node_config,node_context,node_tools,node_models,node_package toneBlue
class node_summary,node_linkedin toneAmber
class node_requirements,node_readme toneNeutral
```

## Components

### Application Runtime

- [Application Entry](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/main.py): Python module · Initializes dependencies, receives input, and emits responses. · `app/main.py`
- [Chatbot Orchestrator](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/chatbot.py): Python module · Primary conversational domain component. · `app/chatbot.py`
- [Runtime Configuration](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/config.py): Python module · `app/config.py`
- [Context Assembly](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/context.py): Python module · Builds or retrieves grounding context. · `app/context.py`
- [Tool Integration](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/tools.py): Python module · Encapsulates callable capabilities. · `app/tools.py`
- [Structured Models](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/models.py): Python module · Shared request, response, and domain schemas. · `app/models.py`
- [App Package](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/__init__.py): Python package · `app/__init__.py`

### Knowledge Sources

- [Profile Summary](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/summary.txt): text knowledge · Static grounding material. · `app/summary.txt`
- [LinkedIn Profile](https://github.com/makeshkumar103/chatbot-backend/blob/main/app/linkedin.pdf): PDF knowledge · Static grounding material. · `app/linkedin.pdf`

### Other components

- [Python Dependencies](https://github.com/makeshkumar103/chatbot-backend/blob/main/requirements.txt): dependency manifest · `requirements.txt`
- [Setup Documentation](https://github.com/makeshkumar103/chatbot-backend/blob/main/README.md): documentation · `README.md`

## Connections

- Application Entry → Runtime Configuration: loads
- Application Entry → Chatbot Orchestrator: invokes
- Application Entry → Structured Models: uses request/response
- Chatbot Orchestrator → Context Assembly: requests grounding
- Chatbot Orchestrator → Tool Integration: invokes capabilities
- Chatbot Orchestrator → Structured Models: exchanges schemas
- Context Assembly → Profile Summary: reads
- Context Assembly → LinkedIn Profile: reads
- Tool Integration → Structured Models: uses schemas
- Python Dependencies → Application Entry: provides runtime packages
- Setup Documentation → Python Dependencies: documents installation