Metering on /v1/systemone is live: each call is billed at $0.12 per 1M input tokens, computed from the exact token count GreenPT returns and attributed to the calling member key. Replace the "not yet metered" warnings in models.md and api-access.md with the accurate position. (metering verified 2026-11-03; code/litellm patch_passthrough_token_cost.py)
129 lines
4.9 KiB
Markdown
129 lines
4.9 KiB
Markdown
# API access
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Members can use the co-op's models programmatically through an OpenAI-compatible
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API. It's the same infrastructure that powers the chat — any OpenAI-compatible
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client works.
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## Quick facts
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- **Base URL:** `https://gateway.inference.coop/v1`
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- **Auth:** a bearer API key (create one in the [Member Dashboard](https://dashboard.inference.coop))
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- **Format:** OpenAI chat completions — `POST https://gateway.inference.coop/v1/chat/completions`
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- **Models:** see the [model list](models.md).
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- **Not only chat:** the gateway also serves a decision endpoint,
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`POST https://gateway.inference.coop/v1/systemone` — see
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[Decisions](models.md#decisions). It takes a different request shape, so
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it is not reachable through an OpenAI SDK's `chat.completions` call.
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API usage draws from the **same monthly allowance as chat** — there's no separate
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quota.
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## What the co-op stores about your requests
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Usage records, and nothing else: the model, token counts, cost, and which key made
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the request — that is how your monthly metering works. **Your prompts and the
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responses are not stored on our side.** The API path keeps no conversation, so there
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is no transcript to delete later.
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Two things worth being precise about:
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- The **chat interface** is different — it saves your conversations so you can revisit
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them. If you want the API's behaviour there instead, use a **temporary chat**.
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- The **provider** is a separate question. Whether a model's operator retains anything
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is set by that provider, not by us, and it varies by model — the
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[model list](models.md) distinguishes policy-based zero retention from
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enclave-based protection.
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Full detail, including what we can and cannot see: [privacy policy](privacy-policy.md).
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## Get a key
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Log in to the [Member Dashboard](https://dashboard.inference.coop) and create an
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API key. The key is an `sk-…` string you pass as a bearer token.
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## Plain `curl`
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```bash
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curl https://gateway.inference.coop/v1/chat/completions \
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-H "Authorization: Bearer sk-your-key" \
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-H "Content-Type: application/json" \
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-d '{"model": "tinfoil/deepseek-v4-1-flash", "messages": [{"role": "user", "content": "Hello"}]}'
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```
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## OpenAI SDK (Python, Node, etc.)
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Point the SDK at our base URL and use your member key:
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```python
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from openai import OpenAI
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client = OpenAI(
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base_url="https://gateway.inference.coop/v1",
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api_key="sk-your-key",
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)
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resp = client.chat.completions.create(
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model="tinfoil/deepseek-v4-1-flash",
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messages=[{"role": "user", "content": "Hello"}],
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)
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```
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Any OpenAI-compatible client works the same way: set the base URL to
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`https://gateway.inference.coop/v1` and the API key to your member key.
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## Decisions (Metis)
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Alongside the chat models, the gateway exposes GreenPT's **Metis** decision model
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at `POST https://gateway.inference.coop/v1/systemone`. It is the same key and the
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same base URL — only the path and the request body differ. For what it is, the
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three question types, and a full `curl` example, see
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[Decisions in the model list](models.md#decisions).
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Two practical notes:
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- **It is not an OpenAI chat endpoint.** You send a `state` plus typed `questions`
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and receive probabilities; there is nothing for an OpenAI SDK's
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`chat.completions` to parse. Post the body directly (`curl`, `requests`,
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`httpx`, or an SDK's generic POST).
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- **Its usage is metered like any other call.** Each decision is billed at
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**$0.12 per 1M input tokens**, figured from the exact token count GreenPT
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returns (Metis generates no prose, so there is no output cost). Decisions draw
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on the same monthly allowance as chat.
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## Coding agents and other OpenAI-compatible clients
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Any tool that speaks the OpenAI API works. Where a tool asks for provider or
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endpoint configuration:
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- **Base URL / endpoint:** `https://gateway.inference.coop/v1`
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- **API type / protocol:** "OpenAI compatible" (or `openai-completions` where a
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protocol string must be named) — not "Ollama", "Anthropic", or "Responses"
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- **API key:** your member key (the `sk-…` string)
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- **Model:** one from the [model list](models.md), e.g. `tinfoil/deepseek-v4-1-flash` or `greenpt/glm-5.3-flash`
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A typical provider entry looks like:
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```json
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{
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"providers": {
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"inference-coop": {
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"baseUrl": "https://gateway.inference.coop/v1",
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"api": "openai-completions",
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"apiKey": "sk-your-key",
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"models": [
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{ "id": "tinfoil/deepseek-v4-1-flash" },
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{ "id": "tinfoil/gpt-oss-120b" },
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{ "id": "tinfoil/glm-5.3" },
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{ "id": "greenpt/glm-5.3-flash" }
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]
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}
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}
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}
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```
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If a tool's own docs show a local-server example (e.g.
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`baseUrl: http://localhost:11434/v1` with `api: "openai-completions"`),
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substitute our base URL and your member key for `apiKey` — the protocol value
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stays the same. Some tools append `/chat/completions` to the base URL themselves;
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if your base URL already ends in `/v1`, that's correct and you should not add
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`/chat/completions`.
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