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Plugin SDK reference

Plugin runtime model helpers

Call a model, resolve model-selection policy, and resolve provider auth without importing host internals. Part of the Plugin runtime helpers reference.

Requester-admitted model catalog

Feature-detect api.runtime.capabilities?.includes("requester-model-catalog-v1") before using the requester-bound runtimeContext.models?.list() reader. Command registrations opt in with runtimeCapabilities: ["models"]; tool factories receive the reader in their version-2 context. Older hosts, unauthorized commands, and invocations without an exact admitted requester/session leave it undefined.

typescript
api.registerCommand({  name: "model-catalog",  description: "Show models admitted for this requester",  ...(api.runtime.capabilities?.includes("requester-model-catalog-v1")    ? { runtimeCapabilities: ["models"] as const }    : {}),  async handler(ctx) {    const catalog = await ctx.runtimeContext?.models?.list();    if (!catalog || catalog.state === "pending") {      return { text: "The requester model catalog is not prepared yet." };    }    return { text: catalog.models.map((model) => `${model.provider}/${model.id}`).join("\n") };  },});

The result contains an opaque revision, state: "prepared" | "pending", and models with id, provider, name, optional thinkingLevels (level IDs), and optional fastModes (false, true, or "auto"). Restricted requesters also receive selectionPolicy: { restricted: true, defaultModel: string | null }. For a prepared result, a null default means there is no currently admitted default. While pending, it may also mean the default is not known yet. fastModes covers the boolean/"auto" fast toggle, not service tiers or "ultrafast"; absence means the prepared catalog makes no fast-toggle claim. No canonical model family metadata is currently exposed; do not infer families from model names.

This is the safe projection of the same saved-session, prepared inventory and role policy used by session-scoped models.list, without needing a Gateway client. Only prepared, available and manually selectable rows are included, including the current model when its native harness or inference worker owns authentication. Active-placement facts are read only from the invocation's bound Gateway context. A headless invocation without that context uses prepared host authentication and configured worker requirements only; it cannot infer an active worker placement or borrow another Gateway's authentication facts. This is admission metadata, not an inference health check. Pending inventory is never proof of availability. The reader does not trigger discovery or auth refresh, accept model/session/agent selectors, return auth profiles or credentials, or expose apiKeySupported. It cannot change a model or grant permission for a later inference request.

Keep the reader within its command or tool invocation. list() can reject when config, auth/catalog publication, or the saved session changes during the read. Discard that result and retry once in the same still-admitted invocation; the next call selects the current config and published catalog instead of remaining pinned to a retired auth owner. If no current catalog is published yet it returns pending. A second rejection should be shown as temporarily unavailable, not retried in a loop. Session reset, requester revocation, plugin retirement, and invocation completion can permanently invalidate that reader; obtain a new admitted invocation rather than retaining it. Treat revisions as equality tokens for the public projection, not durable authorization or global catalog identity.

Protected model egress for standalone commands

withConfiguredModelEgress from openclaw/plugin-sdk/secret-egress-runtime runs an explicit standalone command for an official plugin with a destination-bound credential sentinel. It resolves the selected provider's configured API-key SecretRef through the normal secret resolver, including file-backed keys, and uses the provider's model route policy for its HTTPS endpoint on port 443. It supports OpenAI-compatible Responses and Completions routes. OAuth, auth-profile references, custom request headers, and custom request transport are unsupported. This is a private JavaScript-only host binding for bundled and separately published official plugins, not a third-party plugin API.

typescript
const { withConfiguredModelEgress } = await import("openclaw/plugin-sdk/secret-egress-runtime");await withConfiguredModelEgress({ config, provider, model, signal }, async (egress) => {  // Keep hostEnv on the credential-owning host for the authenticated bridge.  // Send only sentinel, baseUrl, model, and public caBundle to the remote app.  await runRemoteAppThroughBridge(egress, signal);});

The callback receives sentinel, baseUrl, model, allowedHosts, hostEnv, and the public caBundle contents. Supply onOutput(text, stream) to receive live output with resolved credentials redacted, including values split between chunks; pass the callback's onOutputChunk to the command runner. The caller owns its bridge and remote process, must honor cancellation, and must join both before its callback settles. Cancellation revokes proxy access immediately; callback completion or failure revokes access, stops the isolated proxy, and removes its private CA directory. Credentials and proxy grants never enter the shared secret store.

This is an explicit command-scoped proxy using the existing secret egress implementation. It does not require enabling or restarting the Gateway's persistent egress proxy. Import the SDK module only in the command execution path; importing it alone does not load model or secret runtime code.

Prepared simple completions

The openclaw/plugin-sdk/simple-completion-runtime helpers support preparing a model once and completing with it repeatedly. Successful preparation retains the provider resources used by its model, auth, and selection fields. The host owns those resources, so callers can reuse the result without a disposer:

typescript
const result = await prepareSimpleCompletionModelForAgent({ cfg, agentId });if ("error" in result) {  throw new Error(result.error);}const prepared = result;const response = await completeWithPreparedSimpleCompletionModel({  model: prepared.model,  auth: prepared.auth,  cfg,  context: { messages },});

Preparation accepts an optional signal; cancellation prevents late setup from returning a usable model. Resource cleanup can continue after the logical error; host shutdown joins admitted setup and cleanup work. Retained results stay owned until their host closes, which waits for accepted completion work before releasing provider resources. Repeated compatible preparations share the existing generation's resources. A result from a closed host cannot start another completion; prepare again under the current host.

Low-level completions

resolveApiKeyForProfile from openclaw/plugin-sdk/agent-runtime returns a non-enumerable readCurrentCredential capability for personal accounts and for persisted shared or agent profiles using chatgpt-token-sharing. Retain it with the resolved token and call it synchronously at the transport's final authorization boundary, after asynchronous preparation. Validate the returned credential against the selected profile and expected identity; an absent credential must prevent dispatch. It reads Gateway-owned facts without SQL, rejects pending or unavailable authority, and remains valid after resolution completes. Personal-account reconnect retires old capabilities; an ordinary OAuth refresh publishes its new credential through the same owner. Profiles without a retained authority capability return null.

The complete and completeSimple helpers from openclaw/plugin-sdk/llm accept an optional fourth assertCurrent callback. It runs after transport setup and immediately before provider dispatch. A thrown error or an aborted options.signal prevents dispatch; the callback stays outside provider options. Existing three-argument calls remain supported.

The resolveOpenAIModelReasoningEfforts, resolveOpenAIReasoningEffortMap, and resolveOpenAIReasoningEffortMapping helpers from the same SDK subpath read the OpenAI model's effort capabilities and configured native mappings.

Native harnesses can use selectSupportedReasoningEffort from openclaw/plugin-sdk/agent-harness-attempt-runtime with their validated effort order and supported efforts. It keeps a supported request, otherwise chooses the next higher supported effort, or the highest available effort when none is higher. Backend adapters retain protocol validation and special-mode handling.

Model namespaces

api.runtime.llm

Run a host-owned text completion without importing provider internals or duplicating OpenClaw model/auth/base URL preparation.

typescript
const result = await api.runtime.llm.complete({  messages: [{ role: "user", content: "Summarize this transcript." }],  purpose: "my-plugin.summary",  maxTokens: 512,  temperature: 0.2,  reasoning: "high",});

Direct-provider completions record credential failures using the same auth-profile health policy as agent turns and try the next eligible profile. Each profile is attempted at most once per completion. Explicit model@profile pins and provider-bound credentials stay pinned. When the pool is exhausted, the last provider error still resolves with stopReason: "error"; callers should check that field before using the text. Successful requests clear the selected profile's failure state for that model. Retries retain the original runtime lease and repeat authorization checks before dispatch.

maxTokens and temperature are advisory sampling hints. The selected provider, CLI, or harness applies them when its transport exposes an equivalent control and otherwise may ignore them. They do not weaken the execution mode's isolation guarantees.

To require fresh inference through the configured agent runtime, select isolated execution explicitly:

typescript
const result = await api.runtime.llm.complete({  messages: [{ role: "user", content: "Return one JSON value." }],  systemPrompt: "You are a JSON-only function.",  model: "openai/gpt-6-astra",  execution: {    mode: "isolated-agent-runtime",    authProfileId: "openai:work",    timeoutMs: 30_000,  },});

This mode accepts exactly one user message. Core derives the configured CLI or harness owner, starts a fresh context, supplies no model-callable tools, and never falls back to direct provider transport. Unsupported runtimes fail before inference. result.execution.owner reports the selected owner; token usage remains absent when a CLI cannot report it.

Agents API has a documented exception to the literal zero-tool guarantee: its restricted sessions may retain service-owned helpers despite having no executor or supplied tools. Output rejection cannot prevent those helpers from acting during inference. Callers requiring zero tools must select a runtime that enforces that boundary. See the isolated-completion contract.

Completion failures expose a stable code on the thrown error. Isolated callers can distinguish authorization, invalid isolated input, unsupported or unavailable runtimes, aborts, timeouts, rejected output, and other completion failures without matching message text.

LLM_RUNTIME_LIFECYCLE means the host refused the completion because a plugin or model runtime is reloading or has retired; no inference ran. Keep the work and retry it from a fresh plugin operation after the reload completes, instead of treating it as a provider failure.

Provider orchestration can also acquire the configured local-service lifecycle before issuing an HTTP request:

typescript
const lease = await api.runtime.llm.acquireLocalService(  {    providerId,    baseUrl,    headers,  },  signal,);try {  // Send and fully consume the provider request.} finally {  await lease?.release();}

acquireLocalService(...) is a stable, generic provider-service SDK contract. The host resolves process configuration from models.providers.<providerId>.localService; callers cannot supply a command, arguments, environment, or lifecycle policy. Process spawning, readiness, diagnostics, and idle-stop policy remain internal to the host.

Pass the exact configured provider id and resolved request base URL. Do not replace aliases with an adapter id: separate aliases can point at separate local GPU hosts. The host rejects endpoints that do not match the configured provider base URL, apart from the /v1 normalization used by Ollama and LM Studio adapters. The host owns startup serialization, readiness checks, request leases, abort handling, and idle shutdown.

The helper uses the same simple-completion preparation path as OpenClaw's built-in runtime and the host-owned runtime config snapshot. Context engines receive a session-bound llm.complete capability, so model calls use the active session's agent and do not silently fall back to the default agent. The result includes provider/model/agent attribution plus normalized token, cache, and estimated cost usage when available.

usage.costUsd is omitted when no recorded cost or configured/eligible catalog pricing is available. Default-filled zero rates do not establish free usage. Explicit operator zero pricing and provider-billed zero totals remain 0; recorded request costs retain their original pricing tiers.

Direct completions can set responseFormat for provider-native constrained output. When the provider exposes them, the result also includes the concrete responseModel and terminal stopReason. Security-sensitive callers can set requiredAuthMode: "oauth"; the host then rejects a selected non-OAuth credential before dispatch. Isolated agent-runtime completions reject these direct-provider controls before dispatch.

OpenAI and Azure Responses accept a raw JSON Schema as responseFormat and wrap it in text.format with type: "json_schema" and the name openclaw_response. Native json_schema, json_object, and text formats are preserved; Chat Completions-style nested json_schema descriptors are flattened for Responses, including any supplied strict value.

Set reasoning to request a reasoning effort for the selected model. The host accepts the standard thinking levels (off, minimal, low, medium, high, xhigh, adaptive, max, and ultra). Direct completions map adaptive to medium and ultra to max; the selected provider transport maps each effort to its supported wire value. Explicit off reaches the provider's disabled-thinking policy; whether thinking can be disabled depends on the selected model and auth route.

Codex isolated completions pass explicit reasoning levels through the native model's supported-effort mapping. When reasoning is omitted, these bounded calls keep their low-effort default.

api.runtime.modelConfig

Synchronous model-selection policy, without preparing a model or starting a session.

resolveDefaultModelForAgent({ cfg, agentId }) resolves the agent's configured default. resolveAllowedModelRef({ cfg, catalog, raw, defaultProvider, defaultModel, agentId }) resolves a model name or alias against the supplied catalog and agent allowlist, returning { ref, key } or { error }. It does not select or validate an agent runtime; callers that require a particular harness must apply that separate policy.

resolveModelRuntimePolicy({ config, provider, modelId, agentId?, sessionKey? }) reads the configured runtime policy. It honors exact agent/default model entries, provider-model entries, provider-wildcard entries, and provider policy in that order. The result includes policy and its source ("model" or "provider") when configured, or an empty object when no policy matches. This lookup does not select an implicit runtime default or check harness availability.

Use these host operations instead of importing model-selection implementation modules into a plugin's registration entry.

api.runtime.modelAuth

Model and provider auth resolution.

Synchronous profile operations are also available: resolveProviderIdForAuth, ensureAuthProfileStore, resolveAuthProfileOrder, listProfilesForProvider, and isProviderApiKeyConfigured. They use the shared host auth policy. Supply the owning agent directory when reading agent profiles, and use readOnly: true and allowKeychainPrompt: false for non-interactive profile inspection. Profile stores and resolved credentials must not be logged.

Capability factories should construct descriptors only. Keep credential inspection and resolution in the callbacks that need them, rather than performing them while registering a provider.

typescript
const auth = await api.runtime.modelAuth.getApiKeyForModel({ model, cfg }); // Request-ready auth, including provider runtime exchanges (e.g. OAuth refresh)const runtimeAuth = await api.runtime.modelAuth.getRuntimeAuthForModel({ model, cfg }); const providerAuth = await api.runtime.modelAuth.resolveApiKeyForProvider({  provider: "openai",  cfg,});

Prepared completion SDK compatibility

Prefer api.runtime.llm.complete for new plugin code. Existing callers of openclaw/plugin-sdk/simple-completion-runtime can continue to prepare a model with prepareSimpleCompletionModelForAgent and execute it with completeWithPreparedSimpleCompletionModel.

The executor accepts optional options.headers and options.sessionId fields. Calls that omit them keep the same call shape. For HTTPS OpenCode endpoints, a standalone completion gets a fresh opaque x-opencode-session routing header for each invocation. An explicit model or caller routing header suppresses generation, regardless of header name casing. Caller headers take precedence over model headers.

A supplied sessionId retains its existing provider session and cache behavior. It also supplies the OpenCode routing header unless an explicit header overrides it. A generated routing value stays in the header only: it does not create conversation, transcript, prompt-cache, or WebSocket session ownership. Existing transport retries reuse the invocation's header; the executor adds no retry policy.

These prepared results have no release method. Their original Gateway or CLI host retains the model resources until shutdown; standalone callers retain them for the process lifetime. A closed host rejects new preparation and execution. Shutdown waits for accepted provider callbacks and cancellation work before releasing the prepared resources, even when the completion has already returned.

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