AI Agents — Start Here

This page is designed so an AI agent can understand and use Qevron from a single link. Qevron exposes both our self-hosted local models and external provider models through one OpenAI / Anthropic / Gemini-compatible API.

Essentials

• Base URL: https://app.qevron.ai/v1
• Auth: send Authorization: Bearer <KEY> on every request (alternatives: X-Api-Key, or X-Goog-Api-Key for Gemini).
• Compatibility: use the OpenAI SDK and just swap base_url to the above.

Live discovery (source of truth)

Learn the models and their capabilities at runtime from these two endpoints:

# Every model you can reach + each one's type (type/modality)
curl https://app.qevron.ai/v1/models -H "Authorization: Bearer $QEVRON_KEY"

# Per-capability recommended model + endpoint template + example request
curl https://app.qevron.ai/v1/capabilities -H "Authorization: Bearer $QEVRON_KEY"

/v1/models returns each model's type (1=LLM, 3=embedding, 5=image, 6=image_edit, 7=tts, 8=stt, 10=rerank) and modality — so an agent can see at a glance what each model does.

Calling any model (recipe)

1. Pick an id and modality from /v1/models.
2. Choose the endpoint by modality (or use the endpoint_template from /v1/capabilities): llm → /v1/chat/completions, embedding → /v1/embeddings, rerank → /v1/rerank, tts → /v1/audio/speech, stt → /v1/audio/transcriptions, image → /v1/images/generations.
3. Send the request with the OpenAI schema; put your chosen id in model.

Full reference

• Models (matrix) — an A-Z page per local model.
• External providers — gpt-4o / claude / gemini passthrough.
• Capabilities and API Reference.

Machine-readable resources

• llms.txt: https://docs.qevron.ai/llms.txt (table of contents + this page)
• llms-full.txt: https://docs.qevron.ai/llms-full.txt (full text of all docs)
• OpenAPI: https://app.qevron.ai/doc.json · Swagger UI: https://app.qevron.ai/swagger/

TIP

Every doc page has a raw Markdown twin at a .md URL (e.g. /en/models/verinova-stable.md) — clean, unformatted text for agents.