OpenAI Responses-API-compatible HTTP API for ML Intern: send a task with your Hugging Face token as a Bearer header, the agent researches/codes/launches HF Jobs under your namespace, and streams results + artifacts (trackio dashboards, jobs, models) over resumable SSE.
Interactive API documentation is served separately at
https://huggingface-ml-intern-api-docs.static.hf.space so docs-only changes do not
restart this backend Space. Endpoints live under /v1 — start at
POST /v1/responses.
The docs include verified public-endpoint examples, starting with short research/model-selection tasks and extending to longer artifact-producing runs.
Source: https://github.com/huggingface/ml-intern (see docs/API.md).
Optional Space secrets:
MONGODB_URI (+ MONGODB_DB) — durable event replay, reconnects, and
restart recovery. Without it, response tracking is in-memory only.HF_TOKEN — server-side fallbacks such as session trace uploads.18 commits
OpenAI Responses-API-compatible HTTP API for ML Intern: send a task with your Hugging Face token as a Bearer header, the agent researches/codes/launches HF Jobs under your namespace, and streams results + artifacts (trackio dashboards, jobs, models) over resumable SSE.
Interactive API documentation is served separately at
https://huggingface-ml-intern-api-docs.static.hf.space so docs-only changes do not
restart this backend Space. Endpoints live under /v1 — start at
POST /v1/responses.
The docs include verified public-endpoint examples, starting with short research/model-selection tasks and extending to longer artifact-producing runs.
Source: https://github.com/huggingface/ml-intern (see docs/API.md).
Optional Space secrets:
MONGODB_URI (+ MONGODB_DB) — durable event replay, reconnects, and
restart recovery. Without it, response tracking is in-memory only.HF_TOKEN — server-side fallbacks such as session trace uploads.18 commits