Authenticate with a project-scoped
ovr_ key as X-Api-Key: <key> or Authorization: Bearer <key>. There is no proprietary agent framework — the SDKs auto-instrument OpenAI, Anthropic, and Gemini over OpenTelemetry, and any OTel exporter can POST to the same endpoint.
Overmind gives you:
- Live scoring — evaluators run on root spans as they land
- Datasets from traffic — convert traces into eval and training data
- Eval runs — variants measured against a baseline with typed scores
- Optimiser — local execution, scored candidates, a PR with the winning diff
- Training — managed GPU runs, loss curves, benchmark vs your production model
- Inference — OpenAI-compatible API for your trained models and frontier models
Guides
Quickstart
API key, agent setup prompt, first trace in the console.
Observability
OTLP ingest, span model, attribute mapping, explorer.
Python SDK
init(), auto-instrumentation, decorators, context.TypeScript SDK
OvermindClient, initTracing(), manual spans.Agent & Capabilities
Repo scans, telemetry attribution, eval specs.
Datasets
Schema, intents, Workshop, trace-to-dataset.
Eval
Evaluator kinds, eval sets, run reports.
Optimisers
Loop, local executioner, resulting PR.
Models & API
Training
Runs, validation, loss curves, baseline benchmark.
Inference
Serving lifecycle and
/api/v1/chat/completions.REST API
Auth, endpoint map, conventions, Swagger.
Model Library
Base models, context windows, training and inference pricing.