makeshkumar103/chatbot-backend

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.