api-access, models: document gateway behaviour verified against the live API (fallbacks, reasoning defaults, usage, tool support) #8

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@@ -85,3 +85,70 @@ substitute our base URL and your member key for `apiKey` — the protocol value
stays the same. Some tools append `/chat/completions` to the base URL themselves;
if your base URL already ends in `/v1`, that's correct and you should not add
`/chat/completions`.
## What the gateway guarantees (and what it doesn't)
Checked against `gateway.inference.coop` (LiteLLM 1.103.2 at the time of
writing) with a member key on 2026-10-19, re-checked 2026-10-26/27. If any of this drifts, open a PR against this file.
- **Supported route:** `POST /v1/chat/completions`. The audio, image and
embedding routes work for the models marked for them in the
[model list](models.md). `POST /v1/messages` (Anthropic format) answers for
some models (`greenpt/deepseek-v4.1-flash`, `tinfoil/deepseek-v4-1-flash`,
`tinfoil/glm-5.3`, `tinfoil/gpt-oss-120b`) and returns 404 for others
(`greenpt/glm-5.3-flash`): it is LiteLLM's built-in translation layer, not
something the co-op tests or supports. Where it works it carries tools and
tool results correctly, but it drops the `cost` field and any reasoning
content, so prefer chat completions for anything you meter.
- **Fallbacks are silent in the body, visible in the headers.** Some models
have a fallback chain (today `greenpt/deepseek-v4.1-flash` →
`tinfoil/deepseek-v4-1-flash` → `tinfoil/gpt-oss-120b`). If the first
provider fails, the next one serves your request at its own price and its
own privacy posture. Every response carries `x-litellm-model-group` (what
you asked for), `x-litellm-model-name` and `x-litellm-model-api-base` (what
answered), and `x-litellm-attempted-fallbacks` (how many hops). Read them
if the provider matters to you.
- **Cost per call is in the headers too:** `x-litellm-response-cost` in USD,
split into `-input`, `-output` and `-reasoning`, and `x-litellm-key-spend`
for your key's running total. With streaming, `usage.cost` arrives in the
final chunk instead.
- **Timeouts and retries.** 180 seconds per request. Connection errors are
retried up to twice; timeouts are never retried, because the provider has
already billed the generation.
- **Reasoning is on by default** on every chat model we tested, and reasoning
tokens count against `max_tokens`. How much varies: the GreenPT GLM models
think for a dozen tokens or so and then answer, while the Tinfoil models and
DeepSeek on either provider can think for hundreds. A 700-token `max_tokens`
on `tinfoil/glm-5.3` or `tinfoil/gpt-oss-120b` can come back as
`finish_reason: "length"` with 700 reasoning tokens and no content. To turn it off per request, send
`"reasoning_effort": "none"` (or
`"chat_template_kwargs": {"enable_thinking": false}`); `"off"` is rejected
with a 400, and `tinfoil/gpt-oss-120b` rejects `"none"` too, so thinking
can't be disabled on that model. Anthropic-style `thinking: {...}` is
dropped without an error.
- **Unknown parameters are dropped, not rejected** (`drop_params` is on). If
a parameter seems to have no effect, that is probably why.
- **Usage.** With `"stream_options": {"include_usage": true}` the last chunk
carries `prompt_tokens`, `completion_tokens`,
`completion_tokens_details.reasoning_tokens`,
`prompt_tokens_details.cached_tokens`, and `cost`. Some providers add an
`impact` block (energy in Wms, emissions in µgCO₂e) on non-streaming
responses.
- **Model metadata is readable.** `GET /model/info` with your key returns
every model's `model_info` (pricing, and whatever capability flags are
declared there), so a client can pick a model by what it supports.
- **Budget exhausted.** When your allowance is spent, the gateway returns
HTTP `400` with `error.type: "budget_exceeded"` before any stream starts.
Match on the type, not the status. Your allowance resets on your billing
date; the dashboard shows when.
- **Read your own usage.** Your key can read its own record
(`GET /key/info`) and its own budget container
(`GET /team/info?team_id=…`, with the `team_id` from `/key/info`): spend,
`max_budget`, and `budget_reset_at`. Handy for a client that wants to stop
before the gateway does. The scoping is enforced: asking for another team's
`team_id` returns 403. `/spend/logs` is admin-only.
- **No rate limits beyond the budget, and no request-size cap we could find
below 1.5 MB.** There is one shared container; please be a good neighbour.
- **No uptime guarantee** (Terms, "Service"). `GET /health/liveliness` and
`GET /health/readiness` answer without auth, so a client can check before
it falls back to something else.
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@@ -41,10 +41,10 @@ that **you choose** which axis matters more for a given task.
- **Everyday chat and drafting** → a fast model: `greenpt/glm-5.3-flash`.
These handle the bulk of what people use chat for, at a fraction of flagship
cost.
- **Hard reasoning, coding, agentic work** → a flagship: `greenpt/glm-5.3`
(renewable) or `tinfoil/glm-5.3` (TEE-protected) — the GLM flagship on the
provider of your choice — or `tinfoil/deepseek-v4-1-flash` for long documents
and tool-driven tasks.
- **Hard reasoning, coding, agentic work** → `tinfoil/glm-5.3` (TEE-protected)
or `tinfoil/deepseek-v4-1-flash` for long documents and tool-driven tasks.
`greenpt/glm-5.3` is the same model on renewable energy; choose between the
two by privacy posture, not capability (see the table).
- **Images in, text out (vision)** → `tinfoil/deepseek-v4-1-flash` or the
Apertus models — see the ✅ in the table below.
- **Cheap and cheerful** → `tinfoil/gpt-oss-120b` or `greenpt/glm-5.3-flash`.
@@ -63,6 +63,10 @@ cache-read price. **Vision** means the model accepts images as input
available via the chat's image feature (the 🎨 button) using
`regolo/qwen-image`.
**Tools** means the model made a valid streaming tool call through the co-op
gateway when we tested it (✅), failed to (⚠️, with the date), or hasn't been
tested yet (?). If you test one, add the result by PR.
The emoji in the model name marks its **value tier** (the same icons used in the chat picker):
- 🔒 **Private** — Tinfoil: architecturally private (TEE enclaves)
@@ -70,16 +74,16 @@ The emoji in the model name marks its **value tier** (the same icons used in the
a zero-data-retention commitment). The 🌱 emoji marks renewable-powered
providers, not a specific company.
| Model | Provider | Privacy | Green | Vision | Context | Pricing (in / out / cached) | Notes |
|---|---|---|---|---|---|---|---|
| `🌱 greenpt/deepseek-v4.1-flash` | GreenPT | policy | ✅ 100% renewable | ✅ | 1M | $0.22 / $1.10 / $0.011 | **Default.** DeepSeek's multimodal reasoning model, renewable energy; TEE twin below. |
| `🔒 tinfoil/deepseek-v4-1-flash` | Tinfoil | architectural | undisclosed | ✅ | 1M | $0.65 / $1.45 / $0.13 | TEE-protected version of the default; image input, tool calling, long docs/agents. |
| `🔒 tinfoil/glm-5.3` | Tinfoil | architectural | undisclosed | — | 1M | $1.80 / $5.75 / $0.45 | GLM flagship, TEE-protected; strongest private-tier model for agentic coding and long-horizon tasks. |
| `🔒 tinfoil/gpt-oss-120b` | Tinfoil | architectural | undisclosed | — | 131K | $0.15 / $0.60 / — | Lightweight open-weight reasoning; cheapest private tier. |
| `🌱 greenpt/glm-5.3-flash` | GreenPT | policy | ✅ 100% renewable | — | 1M | $0.11 / $0.44 / $0.022 | Fast GLM model, renewable energy. |
| `🌱 greenpt/glm-5.3` | GreenPT | policy | ✅ 100% renewable | — | 1M | $1.10 / $4.40 / $0.275 | GLM flagship — strongest agentic model in the green tier. |
| `🌱 regolo/apertus-70b` | Regolo | policy + ZDR | ✅ 100% renewable | ✅ | 65K | $0.46 / $2.44 / — | Fully open sovereign model (Apache-2.0), large/capable, image understanding. |
| `🌱 regolo/qwen3.5-122b` | Regolo | policy + ZDR | ✅ 100% renewable | ✅ | 262K | $1.16 / $4.87 / — | Large vision+reasoning MoE (Qwen 3.5, 122B-A10B); 262K context. |
| Model | Provider | Privacy | Green | Vision | Tools | Context | Pricing (in / out / cached) | Notes |
|---|---|---|---|---|---|---|---|---|
| `🌱 greenpt/deepseek-v4.1-flash` | GreenPT | policy | ✅ 100% renewable | ✅ | ✅ | 1M | $0.22 / $1.10 / $0.011 | **Default.** DeepSeek's multimodal reasoning model, renewable energy; TEE twin below. Falls back to the Tinfoil twin, then `tinfoil/gpt-oss-120b`, if GreenPT fails. |
| `🔒 tinfoil/deepseek-v4-1-flash` | Tinfoil | architectural | undisclosed | ✅ | ✅ | 1M | $0.65 / $1.45 / $0.13 | TEE-protected version of the default; image input, tool calling, long docs/agents. Reasoning on by default. |
| `🔒 tinfoil/glm-5.3` | Tinfoil | architectural | undisclosed | — | ✅ | 1M | $1.80 / $5.75 / $0.45 | GLM flagship, TEE-protected; strongest private-tier model for agentic coding and long-horizon tasks. Reasoning on by default; the fastest model we measured. |
| `🔒 tinfoil/gpt-oss-120b` | Tinfoil | architectural | undisclosed | — | ? | 131K | $0.15 / $0.60 / — | Lightweight open-weight reasoning; cheapest private tier. |
| `🌱 greenpt/glm-5.3-flash` | GreenPT | policy | ✅ 100% renewable | — | ✅ | 1M | $0.11 / $0.44 / $0.022 | Fast GLM model, renewable energy. Reasoning on by default. Tool calls verified 2026-10-26. |
| `🌱 greenpt/glm-5.3` | GreenPT | policy | ✅ 100% renewable | — | ✅ | 1M | $1.10 / $4.40 / $0.275 | GLM flagship, renewable energy. A successful tool call comes back with empty `content` and one reasoning token, so read `tool_calls`, not `content`. Tool calls failed 3 of 3 on 2026-10-19 and passed 15 of 15 on 2026-10-26/27; if you see the failure again, note it here. |
| `🌱 regolo/apertus-70b` | Regolo | policy + ZDR | ✅ 100% renewable | ✅ | ? | 65K | $0.46 / $2.44 / — | Fully open sovereign model (Apache-2.0), large/capable, image understanding. |
| `🌱 regolo/qwen3.5-122b` | Regolo | policy + ZDR | ✅ 100% renewable | ✅ | ? | 262K | $1.16 / $4.87 / — | Large vision+reasoning MoE (Qwen 3.5, 122B-A10B); 262K context. Thinking is forced off in the gateway config. |
Vision is verified working through the co-op gateway (base64 image input via
`/v1/chat/completions`, standard OpenAI format). In the chat UI, just attach