Frequently Asked Questions

pip install runagent

pip install "runagent[dev]"

# Standard entrypoint
def invoke(input_data: dict) -> dict:
    return {"result": "processed"}

# Streaming entrypoint
def stream(input_data: dict):
    for chunk in process():
        yield chunk

openai>=1.0.0
requests>=2.31.0
pandas>=2.0.0
your-custom-package>=1.0.0

OPENAI_API_KEY=sk-...
DATABASE_URL=postgresql://...

runagent deploy . --env OPENAI_API_KEY=$OPENAI_API_KEY

{
  "deployment": {
    "memory": "2GB",
    "timeout": 120
  }
}

# Updates existing deployment
runagent deploy . --name my-agent

# Production version
runagent deploy . --name agent-prod --env production

# Staging version
runagent deploy . --name agent-staging --env staging

# Development version
runagent deploy . --name agent-dev --env development

for chunk in client.run_generic_stream(input_data):
    print(chunk, end="", flush=True)

runagent logs <deployment-id>

import time
start = time.time()
# operation
print(f"Took {time.time() - start}s")

my-agent/
├── agent.py           # Main agent code
├── utils/             # Helper functions
├── prompts/           # Prompt templates
├── tests/             # Unit tests
├── runagent.config.json
├── requirements.txt
├── .env.example
└── README.md