Skip to main content

Infrastructure for building and deploying AI agents

Project description

Definable

Infrastructure for building and deploying AI agents with a simple YAML configuration and base class extension pattern.

Features

  • Simple Base Class: Extend AgentBox to create your agent
  • YAML Configuration: Configure builds with declarative YAML files
  • Docker Packaging: Build Docker images with a single command
  • FastAPI Integration: Automatic REST API generation
  • CLI Tools: Build and serve commands for development

Quick Start

1. Install Definable

pip install definable

2. Create Your Agent

# main.py
from definable import AgentBox, AgentInput, AgentOutput, AgentInfo
from pydantic import Field

class SampleAgentInput(AgentInput):
    message: str = Field(description="Input message to process")

class SampleAgentOutput(AgentOutput):
    response_message: str = Field(description="Processed response message")

class DemoAgent(AgentBox):
    def setup(self):
        self.name = 'demo-agent'
        self.version = '1.0.0'
        print("Demo agent initialized!")
    
    def invoke(self, agent_input: SampleAgentInput) -> SampleAgentOutput:
        processed_message = f"Processed: {agent_input.message.upper()}"
        return SampleAgentOutput(response_message=processed_message)
    
    def info(self) -> AgentInfo:
        return AgentInfo(
            name=self.name,
            description="A simple demo agent that processes messages",
            version=self.version,
            input_schema=SampleAgentInput.model_json_schema(),
            output_schema=SampleAgentOutput.model_json_schema()
        )

3. Create Configuration

# agent.yaml
build:
  python_version: "3.11"
  dependencies:
    - "requests>=2.28.0"
  system_packages:
    - "curl"
  environment_variables:
    - API_KEY

agent: "main.py:DemoAgent"

platform:
  name: "demo-agent"
  description: "A simple demo agent for testing"
  version: "1.0.0"

concurrency:
  max_concurrent_requests: 50
  request_timeout: 300

4. Build and Serve

# Build Docker image
definable build -t my-agent

# Serve locally for development
definable serve -p 8000

Documentation

Visit our documentation for detailed guides and API reference.

License

MIT License - see LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

definable-0.1.8.tar.gz (18.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

definable-0.1.8-py3-none-any.whl (22.5 kB view details)

Uploaded Python 3

File details

Details for the file definable-0.1.8.tar.gz.

File metadata

  • Download URL: definable-0.1.8.tar.gz
  • Upload date:
  • Size: 18.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for definable-0.1.8.tar.gz
Algorithm Hash digest
SHA256 452e455742fb2536e854a51cda3b2ae587ff292d7f2bebddaa48758c69ce4077
MD5 0de7c0c56928206149db24aa519b5cfe
BLAKE2b-256 420481a0e5664e9f3acfd79196898d5c9ce58459a75839422ca370e745e276d0

See more details on using hashes here.

File details

Details for the file definable-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: definable-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 22.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for definable-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 7c2110e70df2bd08550f19ac997b12cbf65d21ef0b8cce91ec6288a6f0b8b0e3
MD5 77f6fd9170630bcae4870586827a702d
BLAKE2b-256 83bad34c8408ee4b6622244da212c3eefbffbe58edef315682691bb10fea576c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page