Osmosis Platform is the web dashboard for managing everything related to reinforcement learning training of LLMs. It handles GPU provisioning, training orchestration, metrics collection, and model management — so you can focus on defining agent behavior and evaluation logic.Documentation Index
Fetch the complete documentation index at: https://docs.osmosis.ai/llms.txt
Use this file to discover all available pages before exploring further.
Core Capabilities
Workspaces
Organize your team, projects, and resources in isolated workspaces with role-based access control.
Training Runs
Submit, monitor, and manage RL training runs with configurable hyperparameters and strategies.
Datasets
Upload and validate JSONL, CSV, or Parquet datasets up to 5 GB for training.
Models
Import base models from HuggingFace and manage trained checkpoints.
Monitoring
Track real-time training metrics, reward trends, and checkpoint progress.
Git Integration
Connect your GitHub repository to sync AgentWorkflows, Graders, and tools automatically.
How It Works
The typical workflow from setup to trained model follows four stages:Initialize your workspace
Use the CLI to create a workspace and initialize your local project directory.
Define your AgentWorkflow and Grader
Write your agent behavior in an AgentWorkflow and define evaluation logic in a Grader. Push your code to GitHub.
Sync and submit training
The platform syncs your code via Git Integration. Upload a dataset and submit a training run:
Ready to Get Started?
Platform Quickstart
Go from zero to your first training run in minutes.