API Python Agent
Overview
This repository provides a comprehensive example of building an AI agent for the OpenServ platform using OpenServ API, Python and FastAPI. Building upon the OpenServ API Development Guide, this implementation serves as a practical reference for developers looking to create intelligent agents that can handle tasks and respond to chat messages.
Need more details? Check our step-by-step guide on how to use OpenServ API
Prerequisites and Setup
System Requirements
Python 3.8+
pip package manager
OpenAI API access
OpenServ Agent API Key
Setup Instructions
Clone the repository
git clone https://github.com/openserv-labs/agent-tutorial.git cd python-api-agent-example
Virtual Environment Setup
# Create virtual environment python3 -m venv venv # Activate virtual environment # Unix/macOS source venv/bin/activate # Windows venv\Scripts\activate
Dependencies Installation
# Install project dependencies pip install -r requirements.txt # Upgrade pip and key libraries pip install --upgrade pip pip install --upgrade openai
Configuration Create a
.env
file in your project root:OPENAI_API_KEY=your_openai_api_key OPENSERV_API_KEY=your_openserv_api_key API_BASE_URL=https://api.openserv.ai PORT=7378 # Configurable port
Running the Agent
# Navigate to project directory
cd python-api-agent-example
# Start the FastAPI server
python src/main.py
Conceptual Understanding
What is the OpenServ API?
An OpenServ API is a RESTful API that allows you to create and manage agents on the OpenServ platform. It provides a standardized way to interact with the OpenServ platform through a HTTP request.
Receive and process tasks dynamically
Respond to chat messages
Interact with the OpenServ platform through a standardized API
Leverage AI capabilities to complete assigned objectives
Key Components of This Implementation
Our Python agent demonstrates several critical aspects of agent development:
Task Handling: Ability to receive, process, and complete complex tasks
Chat Interaction: Manage conversational interfaces
File Management: Upload and handle file-based outputs
Secure Communication: Implement SSL and API security
Asynchronous Processing: Manage concurrent operations
Technical Architecture
Project Structure Explained
python-api-agent-example/
├── src/
│ ├── __init__.py # Package initialization
│ ├── main.py # FastAPI application entry point
│ ├── api.py # API client configuration
│ ├── do_task.py # Task handling implementation
│ └── respond_chat_message.py # Chat message handling
└── requirements.txt # Python dependencies
Deep Dive into Components
main.py
:Serves as the primary application entry point
Configures FastAPI server
Sets up endpoint routes for task and chat interactions
api.py
:Manages API client configuration
Handles secure communication with OpenServ platform
Implements SSL certificate management
Provides utility methods for API interactions
do_task.py
:Implements core task processing logic
Handles task reception, processing, and completion
Uses OpenAI API for task resolution
respond_chat_message.py
:Manages incoming chat messages
Generates contextually appropriate responses
Maintains conversation state and context
Key Implementation Highlights
Secure API Communication
The implementation emphasizes security through:
SSL certificate verification using
certifi
Secure session management with
aiohttp
Robust error handling mechanisms
import ssl
import certifi
# Create a secure SSL context
ssl_context = ssl.create_default_context(cafile=certifi.where())
connector = aiohttp.TCPConnector(ssl=ssl_context)
session = aiohttp.ClientSession(connector=connector)
Task Processing Example
# Upload task result
await api_client.upload_file(
workspace_id=workspace_id,
file_content=result,
filename=f'task-{task_id}-output.txt',
path='text-summary.txt',
task_ids=[task_id],
skip_summarizer=True
)
# Mark task as complete
await api_client.put(
f"/workspaces/{workspace_id}/tasks/{task_id}/complete",
{'output': "Task successfully processed"}
)
Troubleshooting
Common Issues
Ensure all environment variables are correctly set
Verify API key permissions
Check network connectivity
Validate SSL certificate configurations
Learning Resources
Built with ❤️ by OpenServ Labs
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