# Small Model Server-side direct LLM calls that reuse the user's existing OpenCode provider logins (`~/.local/share/opencode/auth.json`). OpenCode uses a "small model" internally (titles, summaries) but does not expose it through the SDK or plugins — this module replicates that mechanism as an OpenChamber runtime API. ## Security boundary Credentials never leave the server process. The client sends only a prompt; auth resolution, OAuth refresh, and provider dispatch all happen server-side. Routes live under `/api/*` and are gated by the ui-auth middleware like every other runtime API. ## Files - `index.js` — orchestration: `generateSmallModelText()` / `describeSmallModel()`. - `runtime-providers.js` — provider state that exists only inside the running OpenCode process. A plugin registers its provider from the `config` hook and supplies the credential from its `auth` loader, so neither reaches `opencode.json` nor `auth.json`; `GET /provider` is the only place they become visible. The module caches one snapshot (30s TTL, shared in-flight request) and answers `null` — never an empty provider list — when OpenCode is unreachable, so a momentary outage cannot retract providers. It is wired once from `server/index.js` and reset on OpenCode restart, which reloads plugins and can move their ports and keys. - `resolve.js` — model selection, mirroring OpenCode's `getSmallModel` chain: 0. OpenChamber's own settings override (Settings → Sessions → Small Model): when `smallModelUseDefault` is `false`, `smallModelOverride` (`provider/model`) outranks everything below. Sanitized in `settings-helpers.js` (server), `persistence.ts` (client), and `bridge-settings-runtime.ts` (VS Code). 1. `small_model` from the merged OpenCode config layers (`provider/model`). 2. Family-priority scan (`gemini-flash` → `gpt-nano` → `claude-haiku`) **within the session's provider first** (`preferredProviderID`, like OpenCode resolves within the current provider), then over the other providers with a usable auth entry, newest `release_date` first. 3. GitHub Copilot hidden utility models (`gpt-*-nano/mini`) — these never appear in the catalog, so they participate as the `gpt-nano` family entry and as a final utility fallback. 4. Last resort: the session's own model (`preferredModelID`) when no small model resolves anywhere — costlier, but always valid. - Input clamp: the prompt is measured against the resolved model's catalog `limit.context` (minus an output reserve, ~4 chars/token estimate; conservative default when the model is not in the catalog). `onOverflow` decides what an oversized prompt means: - `truncate` (default) clips the tail and reports `inputTruncated: true`. Correct for callers that degrade gracefully (summaries, commit messages). - `error` throws a `413` with `code: 'context-too-small'` plus `requiredChars`/`availableChars`. Correct for callers whose output would be quietly wrong on a clipped input, so they can ask the user for a roomier model instead of returning confident nonsense. - Structured output: pass `responseSchema` (a JSON Schema) to get schema-shaped JSON back as `text`. Wire support differs per format — `response_format: {type: 'json_schema'}` for OpenAI-compatible chat, `text.format` for the Responses API, a forced single tool call for the Anthropic messages API, and `generationConfig.responseSchema` for Google (whose OpenAPI-flavored dialect drops unknown JSON Schema keywords). The ChatGPT-plan codex backend has no equivalent and rejects a schema request with `code: 'structured-output-unsupported'` rather than silently returning prose. - Output budget: `maxOutputTokens` is capped at the catalog's `limit.output` for the model, and the **same number** is reserved from the input allowance. The two must not drift — a caller that asks for a large answer while the reserve stays at the default overruns the context, and the failure looks like a truncation bug rather than a budgeting one. `describeSmallModel` takes `outputReserveTokens` so readiness checks agree with what generation will do. It may be a **function** of `{ contextTokens, outputTokenLimit }` for callers that want as much answer room as the resolved model allows — they cannot name a number before knowing which model they got. The resolved value comes back as `outputTokens`, which is what the caller should then request, so the reserve and the request are the same number by construction. - Reasoning models can spend the entire output budget thinking and return nothing. That case (empty content with `finish_reason: 'length'`, or content empty while `reasoning_content` is populated) throws with `code: 'output-exhausted'` so callers can offer a different model instead of showing a transport error. - `timeoutMs` overrides the 60s default per call; `signal` lets a caller abort a request that is no longer wanted. Both apply to every wire format. - `describeSmallModel()` additionally reports `inputCharBudget`, `contextTokens`, `contextKnown`, `structuredOutput`, and `hasLogin`. The last is whether the resolved provider has a usable credential (`auth.json` or config `provider..options.apiKey`) — settings/config overrides can name a provider with none, and callers such as the walkthrough refuse before the request. `structuredOutput` is tri-state: `true`/`false` from the catalog, `null` when the catalog omits the field — which it does for roughly half of all models, aggregators and proxies especially. Callers must treat `null` as "try it", not "unsupported". - Missing credentials throw with `statusCode: 401` and `code: 'no-provider-login'` rather than a bare `Error`, so UI callers can show a blocker instead of a raw 500 message. - `call.js` — wire formats and per-provider auth, replicating OpenCode's plugin auth loaders: - OpenCode-hosted providers receive `x-opencode-session`. Session-backed features reuse the real OpenCode session id, walkthrough retries reuse the walkthrough cache key, and standalone one-shot actions receive a fresh opaque id for that generation. - **GitHub Copilot**: fetches the requested model's authenticated `/models` metadata from `https://api.githubcopilot.com` (or `copilot-api.`) and honors its advertised endpoint, preferring Anthropic-compatible `/v1/messages`, then OpenAI `/responses`, then `/chat/completions`. Models without `supported_endpoints` retain the legacy Chat Completions default; metadata, missing-model, and unsupported-endpoint failures are surfaced instead of guessing. The stored device-OAuth token is used as the bearer with no token exchange or expiry. - **OpenAI OAuth (ChatGPT plan)**: streaming Responses API on `https://chatgpt.com/backend-api/codex/responses` with `ChatGPT-Account-Id`; expired tokens are refreshed against `auth.openai.com` (single-flight) and written back to `auth.json`. - **Anthropic** (`type: api`): `/messages` with `x-api-key`, against `provider.anthropic.options.baseURL` when configured (used as-is, matching `@ai-sdk/anthropic` — no `/v1` is inserted) or `https://api.anthropic.com/v1` otherwise. - **Google** (`type: api`): `generateContent` with `x-goog-api-key`; Gemini 3 uses `thinkingLevel`, Gemini 2.x uses `thinkingBudget: 0`, and all other models omit `thinkingConfig` entirely. - Everything else: OpenAI-compatible `/chat/completions` against the provider's base URL, resolved from (1) `provider..options.baseURL` in the OpenCode config, (2) the hardcoded `https://api.openai.com/v1` endpoint, (3) the selected model's endpoint OpenCode resolved at runtime, (4) the provider-level runtime endpoint, or (5) the provider's `api` field from the models.dev catalog. The credential follows the same shape: config `options.apiKey`, then the runtime credential, then the auth.json entry. `provider..options.headers` is sent with the request and overrides the bearer default, so gateways that authenticate on their own header work here exactly as they do in a chat turn. Configured API keys and header values honor OpenCode's `{env:NAME}` and `{file:path}` substitutions; file contents and resolved credentials remain server-side. - The runtime credential is refused for providers listed in `OWN_CREDENTIAL_HANDLING`. Their branches need the stored entry rather than a bearer token: the clearest case is the ChatGPT-plan `openai` login, whose runtime `options.apiKey` is an OAuth access token that `api.openai.com` answers with 401. - `[small-model:diagnostic]` logs record provider/model, input character counts, output budget, thinking toggle, HTTP/finish status, and content/reasoning lengths without logging prompts, response text, or credentials. Goal audit parsing similarly emits `[session-goal:diagnostic]` structural verdict metadata. - `catalog.js` — models.dev catalog via the shared in-process cache (`../opencode/models-metadata.js`, also serving `/api/openchamber/models-metadata`). - `routes.js` — `GET /api/small-model` (resolution preview) and `POST /api/small-model/generate` (`{ prompt, system?, maxOutputTokens?, model?, directory? }` → `{ text, providerID, modelID, source }`). ## Which providers the pickers may offer `listAuthenticatedProviders()` answers one question for the Small Model and Changes Walkthrough pickers alike: which providers can this module actually call. One rule decides it, applied the same way to every provider — **a credential we are allowed to use, and an endpoint to send it to.** The auth.json scan as before, plus the credential and endpoint OpenCode resolved for a plugin provider. **opencode zen is excluded without a real login.** When the user has no zen credential, OpenCode substitutes the sentinel `options.apiKey = "public"` and trims its catalog to the free models. Those run on OpenCode's own subsidised infrastructure and are meant to be reached through OpenCode, so the sentinel is never accepted as a credential — see `ZEN_ANONYMOUS_API_KEY`. ### Why there is no capability probe A plugin may implement its whole integration inside `options.fetch` — rewriting the path, signing the request, translating the payload — and OpenCode cannot serialise a function. Such a provider advertises an ordinary base URL that answers nothing we know how to ask, and no reported field distinguishes it from a plain one. Asking the endpoint (`GET /models`) does identify that case correctly. It was measured against all 166 providers carrying an `api` URL in the models.dev catalog, and it also denies six of them — `cloudflare-workers-ai`, `infomaniak`, `iflowcn`, `inference`, `kuae-cloud-coding-plan`, `thinkingmachines` — which work fine and simply have no `/models` route. At a 3.6% false-negative rate on providers known to work, the probe removes more working models from the picker than broken ones, and a provider that silently vanishes explains nothing while one that fails on use says why. So availability stops at credential and endpoint, and the protocol verdict is left to the call. A provider whose protocol lives in a plugin's `fetch` stays selectable and fails when used — which is what it did before this resolution existed. Claude Code is refused unconditionally. A plugin can publish an OpenAI-compatible endpoint for it, but that endpoint is a façade over the Claude Agent SDK, which spawns the Claude Code CLI per request and spends the user's Claude subscription rate limit. Paying that for a session title or a summary is the wrong trade, so an available endpoint does not lift the refusal — the cost is the reason, not the transport. The result is served as `authenticatedProviders` on `GET /api/small-model`. The field name predates the runtime resolution; it now means "callable", which is a superset of "has an auth.json entry". ## Registration Mounted lazily from `feature-routes-runtime.js` (same pattern as quota): the module is imported on first request, not at server startup. ## Known limitations - OpenCode's free models (`opencode/big-pickle`, `*-free`) work without a token only through OpenCode's own server — direct calls are rejected, and piggybacking on their subsidized infra is out of bounds by design. Every resolution step therefore requires a credential we are allowed to use: a session on an unauthenticated `opencode` provider falls through to the global scan (or a clean 404 on a vanilla setup with no logins). The runtime snapshot does not weaken this — OpenCode reports the sentinel `apiKey: "public"` for that state, and this module refuses to read it as a credential. - Anthropic OAuth (Claude Pro/Max) entries are not supported — OpenCode itself keeps those outside `auth.json` in this generation; only `type: api` keys work for Anthropic. - Amazon Bedrock, GitLab, Azure and other credential-chain providers are out of scope; they need more than a key/token (regions, resource names). - Responses from the codex backend are collected from the SSE stream; the endpoint itself is non-streaming by design (small utility calls).