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iblai-api-inference

Run inference against an ibl.ai deployment through its OpenAI-compatible API — same request/response shape as OpenAI's /v1/chat/completions, routed to any configured provider/model (e.g. openai/gpt-5). List models, then POST OpenAI-format messages for a single completion or a streamed SSE response, with Api-Token auth. Use to generate completions or tool calls directly, without the agent-chat MCP server or agent wiring.

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iblai/api
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July 20, 2026 at 15:21
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iblai-api-inference
description
Run inference against an ibl.ai deployment through its OpenAI-compatible API — same request/response shape as OpenAI's /v1/chat/completions, routed to any configured provider/model (e.g. openai/gpt-5). List models, then POST OpenAI-format messages for a single completion or a streamed SSE response, with Api-Token auth. Use to generate completions or tool calls directly, without the agent-chat MCP server or agent wiring.
# iblai-api-inference Call ibl.ai's **OpenAI-compatible** chat endpoint: identical request/response shape to OpenAI's `/v1/chat/completions`, but served by your deployment and routed to whichever `provider/model` you name. Use it for raw completions, streamed tokens, or tool calls directly — no MCP server, no agent needed. To *configure* which model an agent runs on use `/iblai-api-agent-llm`; to *converse with a deployed agent* (RAG, memory, history) use `/iblai-api-agent-chat`. ## Auth & conventions - **Header:** `Authorization: Api-Token $IBLAI_API_KEY` on every request. - **Path var:** `{org}` = `$IBLAI_ORG` (no username in the path). - **Model:** always `provider/model` form, e.g. `openai/gpt-5`, `anthropic/claude-sonnet-4`. A bare name is rejected `400 invalid_request`. - **Two hosts — streaming is async/ASGI-only:** - Non-streaming → `https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/v1` - Streaming (`stream: true`) → `https://asgi.data.iblai.app/api/ai-mentor/orgs/{org}/v1` The sync WSGI gateway can't drive the async SSE generator, so `stream:true` must hit the ASGI host. - Not connected yet? Run **`/iblai-api-login`** first to populate `IBLAI_ORG` and `IBLAI_API_KEY`. ## Reads - **GET** `…/orgs/{org}/v1/models` — OpenAI-style model list for the deployment; each `id` is a `provider/model` you can pass as `model`. ## Writes - **POST** `…/orgs/{org}/v1/chat/completions` — run a completion (an inference call, not a state mutation; `POST` per the OpenAI wire format). Standard OpenAI chat body: ```json { "model": "openai/gpt-5", "messages": [{ "role": "user", "content": "Hello" }], "stream": false, "tools": [], "stream_options": { "include_usage": true } } ``` `stream:true` returns Server-Sent Events (`data: {chunk}` … `data: [DONE]`); omit it (or `false`) for one JSON completion. ## Examples Non-streaming completion: ```bash curl -X POST \ "https://api.iblai.app/dm/api/ai-mentor/orgs/$IBLAI_ORG/v1/chat/completions" \ -H "Authorization: Api-Token $IBLAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"openai/gpt-5","messages":[{"role":"user","content":"Say hi"}]}' ``` Streaming (ASGI host, SSE): ```bash curl -N -X POST \ "https://asgi.data.iblai.app/api/ai-mentor/orgs/$IBLAI_ORG/v1/chat/completions" \ -H "Authorization: Api-Token $IBLAI_API_KEY" \ -H "Content-Type: application/json" \ -H "Accept: text/event-stream" \ -d '{"model":"openai/gpt-5","stream":true,"stream_options":{"include_usage":true},"messages":[{"role":"user","content":"Stream a haiku"}]}' ``` List available models: ```bash curl "https://api.iblai.app/dm/api/ai-mentor/orgs/$IBLAI_ORG/v1/models" \ -H "Authorization: Api-Token $IBLAI_API_KEY" ``` ## Notes - **Drop-in for OpenAI SDKs:** point `base_url` at `…/orgs/{org}/v1`. Auth is `Api-Token` (not `Bearer`), so pass it via the SDK's default headers (`{"Authorization": "Api-Token <key>"}`), not the plain `api_key` field. - **Streaming must use the ASGI host** (`asgi.data.iblai.app`); the WSGI gateway (`api.iblai.app`) is fine for non-streaming only. - `model` must be `provider/model` and resolve to a provider the deployment has configured — list it via `…/v1/models`; unknown/bad model → `400 invalid_request`. - **Tool calling** is supported (OpenAI `tools` / `tool_calls`); streamed tool-call deltas carry dense, 0-based `index` values, matching the OpenAI wire format that clients index directly.
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