In supervised ML, deployment means serving predictions. In reinforcement learning, it means serving interactions — tracking state, executing rollouts, and managing environments. Fournex handles the complexity so you can focus on training better agents.
Upload Any Agent
Support for .zip, .onnx, .pt, and Stable Baselines3 checkpoints.
State Management
Automatic tracking of state, action histories, and sessions.
Gym or REST Envs
Define environments using Gym API or custom REST endpoints.
Production Ready
Scalable infrastructure with monitoring and logging built-in.
Upload Agent
curl -X POST https://api.fournex.com/agents/upload -F 'model=@agent.zip'Deploy Endpoint
curl -X POST https://api.fournex.com/agents/deploy -d '{"agent_id":"abc123"}'# Upload your trained agent
curl -X POST https://api.fournex.com/agents/upload \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "model=@my_agent.zip" \
-F "framework=stable-baselines3" \
-F "environment=CartPole-v1"
# Response
{
"agent_id": "agent_abc123",
"status": "uploaded",
"endpoint": "https://api.fournex.com/agents/agent_abc123/predict"
}
Supported Formats
4+
.zip • .onnx • .pt • Stable-Baselines3
Deployment Time
< 5 min
from upload to production endpoint
API Type
REST
JSON over HTTPS
Reinforcement learning deployment is fundamentally different from supervised ML. We handle state tracking, environment execution, and policy rollouts so you can focus on building better agents.
RL isn't just about predictions — it's about managing stateful interactions.
Support for multiple frameworks and model formats out of the box.
Define your environment using standard APIs or custom endpoints.
Deploy as REST APIs with automatic scaling and monitoring.
Automatically manage per-client state, action histories, and context.
Log rewards and observations for continual training workflows.
Fournex eliminates the infrastructure complexity of deploying RL agents. Upload your trained model, define your environment, and get a production-ready REST endpoint in minutes. We handle state tracking, session management, and scalability — you focus on building better agents.