refactor(llm): resolve model metadata together
This commit is contained in:
@@ -28,9 +28,9 @@ Configure credentials and deployment-specific transport settings per provider. O
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Each provider name must exist in pi-ai's installed catalog and may appear only once in this plugin instance. Registration with `ctx.llm` is atomic: a collision with any provider route already owned by another adapter fails plugin loading without registering the remaining routes. Model ids are not lifecycle config; an unknown model fails before any provider request with `LlmError('UNKNOWN_MODEL')`.
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The adapter exposes each configured provider's installed pi-ai models through `ctx.llm.listModels(provider)`. This is provider-neutral selector metadata derived from `getModels(provider)`; request-time resolution still performs the authoritative catalog lookup, so discovery does not create a second model registry. `ctx.llm.resolveModelContext(provider, model)` performs the same exact descriptor lookup and returns its context window, keeping capacity metadata on the route-owning adapter rather than a consuming plugin.
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The adapter exposes each configured provider's installed pi-ai models through `ctx.llm.listModels(provider)`. This is provider-neutral selector metadata derived from `getModels(provider)`; request-time resolution still performs the authoritative catalog lookup, so discovery does not create a second model registry. `ctx.llm.resolveModelInfo(provider, model)` performs that exact descriptor lookup once and returns its identity, context window, and selectable thinking levels, keeping authoritative metadata on the route-owning adapter rather than its consumers.
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`ctx.llm.resolveModelReasoning(provider, model)` uses pi-ai's `getSupportedThinkingLevels(model)` and returns that model's ordered levels after filtering the separate `off` control. The Harness exposes the canonical pi-ai level as an opaque ID; provider/model wire spellings remain inside pi-ai's `thinkingLevelMap`. A non-reasoning model returns `undefined`. The profile `reasoning` value is the deployment default when configured; omitting it preserves the provider default. Per-request `GenerateOptions.reasoningEffort` takes precedence, and any explicit value absent from the exact model capability fails with `UNSUPPORTED_REASONING_EFFORT` before network I/O instead of being clamped.
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The `reasoning.efforts` list is pi-ai's ordered `getSupportedThinkingLevels(model)` result without filtering or normalization, including `off` and the model-specific availability of `xhigh` or `max`. The Harness exposes each canonical pi-ai level as an opaque ID; provider/model wire spellings remain inside pi-ai's `thinkingLevelMap`. A non-reasoning model therefore exposes pi-ai's `off` choice. The profile `reasoning` value, including `off`, is the deployment default when configured; omitting it preserves the provider default. Per-request `GenerateOptions.reasoningEffort` takes precedence, and any explicit value absent from the exact model capability fails with `UNSUPPORTED_REASONING_EFFORT` before network I/O instead of being clamped. pi-ai's common stream options represent `off` by omitting `reasoning`.
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Supported profile fields are `provider`, `apiKey`, `baseURL`, `headers`, `reasoning`, `thinkingBudgets`, `cacheRetention`, `transport`, `timeoutMs`, `websocketConnectTimeoutMs`, and `streamIdleTimeoutMs`. The stream-idle interval is a positive finite Node timer delay, defaults to five minutes, and covers only an outstanding provider read, not consumer think time. Harness app attribution wins a conflicting configured header name.
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@@ -49,7 +49,7 @@ If a listener rewrites assembled assistant content, the loop drops replay state
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- pi-ai tool-call arguments are parsed objects; the harness stores raw JSON strings. The adapter parses input and re-stringifies output.
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- pi-ai reports failures as in-stream error events; these map to `finish {kind:'error'|'aborted', failure}` chunks. Provider-specific error text distinguishes terminal `QUOTA` from transient `RATE_LIMIT`, while text and usage signals evaluated against the resolved model's context window normalize overflow to `CONTEXT_WINDOW_EXCEEDED`. A terminal `stop` whose message carries no content blocks maps to a `finish {kind:'error'}` with code `EMPTY_RESPONSE` (retried by default policy) instead of a successful empty message.
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- pi-ai folds reasoning tokens into output usage; there is no separate reasoning count to map.
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- pi-ai may internally support an `off` thinking level, but the Harness reasoning-effort capability deliberately excludes mode changes.
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- pi-ai's `off` thinking level crosses the Harness capability seam unchanged and becomes an omitted pi-ai common `reasoning` option at dispatch.
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- `GenerateOptions.stop` is rejected with `UNSUPPORTED_OPTION` because pi-ai's common streaming surface cannot guarantee it across providers.
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## App attribution
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@@ -11,6 +11,7 @@ import { getSupportedThinkingLevels } from '@earendil-works/pi-ai'
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import type {
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Api,
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Model,
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ModelThinkingLevel,
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SimpleStreamOptions,
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ThinkingLevel,
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} from '@earendil-works/pi-ai'
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@@ -22,9 +23,8 @@ import {
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} from '@deepseek-ai/dsh-llm'
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import type {
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GenerateOptions,
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LlmModelContext,
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LlmModelInfo,
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LlmModelReasoningInfo,
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LlmResolvedModelInfo,
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ReasoningEffortId as ReasoningEffortIdType,
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StreamChunk,
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} from '@deepseek-ai/dsh-llm'
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@@ -44,7 +44,7 @@ export interface PiAiAdapterOptions {
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* Resolve a catalog model dynamically and apply only the configured endpoint
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* override, preserving the catalog's API/capability/compatibility metadata.
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*/
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function resolveModel(profile: PiAiProviderProfile, modelId: string): Model<Api> {
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function resolvePiModel(profile: PiAiProviderProfile, modelId: string): Model<Api> {
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const model = getBuiltinModels(profile.provider as BuiltinProvider).find(candidate => candidate.id === modelId) as Model<Api> | undefined
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if (model === undefined) {
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throw new LlmError(`pi-ai provider "${profile.provider}" has no catalog model "${modelId}"`, 'UNKNOWN_MODEL')
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@@ -55,11 +55,12 @@ function resolveModel(profile: PiAiProviderProfile, modelId: string): Model<Api>
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/** Copy profile stream knobs into pi-ai's common option vocabulary. */
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function profileOptions(
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profile: PiAiProviderProfile,
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reasoning: ThinkingLevel | undefined,
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reasoning: ModelThinkingLevel | undefined,
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): SimpleStreamOptions {
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const enabledReasoning: ThinkingLevel | undefined = reasoning === 'off' ? undefined : reasoning
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return {
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...profile.apiKey === undefined ? {} : { apiKey: profile.apiKey },
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...reasoning === undefined ? {} : { reasoning },
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...enabledReasoning === undefined ? {} : { reasoning: enabledReasoning },
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...profile.thinkingBudgets === undefined ? {} : { thinkingBudgets: profile.thinkingBudgets },
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...profile.cacheRetention === undefined ? {} : { cacheRetention: profile.cacheRetention },
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...profile.transport === undefined ? {} : { transport: profile.transport },
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@@ -70,19 +71,14 @@ function profileOptions(
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}
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}
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/** Selectable pi-ai levels exclude the separate on/off control. */
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function supportedReasoningLevels(model: Model<Api>): ThinkingLevel[] {
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return getSupportedThinkingLevels(model).filter((level): level is ThinkingLevel => level !== 'off')
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}
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/** Validate an explicit Harness/profile effort without invoking pi-ai's clamp. */
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function resolveReasoningLevel(
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model: Model<Api>,
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effort: ReasoningEffortIdType | ThinkingLevel | undefined,
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): ThinkingLevel | undefined {
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effort: ReasoningEffortIdType | ModelThinkingLevel | undefined,
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): ModelThinkingLevel | undefined {
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if (effort === undefined) return undefined
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const supported = supportedReasoningLevels(model)
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if (supported.some(level => level === effort)) return effort as ThinkingLevel
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const supported = getSupportedThinkingLevels(model)
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if (supported.some(level => level === effort)) return effort as ModelThinkingLevel
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throw new LlmError(
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`pi-ai provider "${model.provider}" model "${model.id}" does not support reasoning effort "${effort}"`,
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'UNSUPPORTED_REASONING_EFFORT',
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@@ -123,27 +119,11 @@ export class PiAiAdapter extends LlmAdapter {
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})))
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}
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override resolveModelContext(
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provider: string,
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model: string,
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): Promise<LlmModelContext | undefined> {
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const profile = this.profiles.get(provider)
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if (profile === undefined) {
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return Promise.reject(new LlmError(
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`pi-ai adapter does not own provider "${provider}"`,
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'NO_ADAPTER',
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))
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}
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return Promise.resolve().then(() => ({
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contextWindow: resolveModel(profile, model).contextWindow,
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}))
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}
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override resolveModelReasoning(
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override resolveModel(
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provider: string,
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model: string,
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_signal?: AbortSignal,
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): Promise<LlmModelReasoningInfo | undefined> {
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): Promise<LlmResolvedModelInfo> {
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const profile = this.profiles.get(provider)
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if (profile === undefined) {
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return Promise.reject(new LlmError(
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@@ -152,21 +132,23 @@ export class PiAiAdapter extends LlmAdapter {
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))
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}
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return Promise.resolve().then(() => {
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const resolvedModel = resolveModel(profile, model)
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const levels = supportedReasoningLevels(resolvedModel)
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if (levels.length === 0) {
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resolveReasoningLevel(resolvedModel, profile.reasoning)
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return undefined
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}
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const resolvedModel = resolvePiModel(profile, model)
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const levels = getSupportedThinkingLevels(resolvedModel)
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const defaultLevel = resolveReasoningLevel(resolvedModel, profile.reasoning)
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return {
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efforts: levels.map(level => ({
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id: ReasoningEffortId(level),
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name: `${level.charAt(0).toUpperCase()}${level.slice(1)}`,
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})),
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...defaultLevel === undefined
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? {}
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: { defaultEffort: ReasoningEffortId(defaultLevel) },
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provider,
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id: model,
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name: resolvedModel.name,
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context: { contextWindow: resolvedModel.contextWindow },
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reasoning: {
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efforts: levels.map(level => ({
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id: ReasoningEffortId(level),
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name: `${level.charAt(0).toUpperCase()}${level.slice(1)}`,
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})),
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...defaultLevel === undefined
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? {}
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: { defaultEffort: ReasoningEffortId(defaultLevel) },
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},
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}
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})
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}
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@@ -179,7 +161,7 @@ export class PiAiAdapter extends LlmAdapter {
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if (profile === undefined) {
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throw new LlmError(`pi-ai adapter does not own provider "${options.provider}"`, 'NO_ADAPTER')
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}
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const model = resolveModel(profile, options.model)
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const model = resolvePiModel(profile, options.model)
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const reasoning = resolveReasoningLevel(
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model,
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options.reasoningEffort ?? profile.reasoning,
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@@ -5,7 +5,7 @@
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*/
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import { getBuiltinProviders } from '@earendil-works/pi-ai/providers/all'
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import type { CacheRetention, ThinkingBudgets, ThinkingLevel, Transport } from '@earendil-works/pi-ai'
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import type { CacheRetention, ModelThinkingLevel, ThinkingBudgets, Transport } from '@earendil-works/pi-ai'
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import z from 'schemastery'
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import { MAX_TIMER_DELAY_MS } from '@deepseek-ai/dsh-timeout'
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@@ -23,7 +23,7 @@ export interface PiAiProviderProfile {
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/** Provider request headers; Harness attribution wins reserved names. */
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headers?: Record<string, string>
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/** Provider-neutral pi-ai reasoning level. */
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reasoning?: ThinkingLevel
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reasoning?: ModelThinkingLevel
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/** Token budgets used by reasoning providers that support them. */
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thinkingBudgets?: ThinkingBudgets
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/** Prompt-cache retention preference. */
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@@ -62,7 +62,7 @@ const profile = z.object({
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apiKey: z.string(),
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baseURL: z.string(),
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headers: z.dict(z.string()),
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reasoning: z.union(['minimal', 'low', 'medium', 'high', 'xhigh', 'max']),
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reasoning: z.union(['off', 'minimal', 'low', 'medium', 'high', 'xhigh', 'max']),
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thinkingBudgets,
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cacheRetention: z.union(['none', 'short', 'long']),
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transport: z.union(['sse', 'websocket', 'websocket-cached', 'auto']),
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@@ -9,7 +9,7 @@ import { assemble, type AssembledResult } from './assemble.ts'
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/**
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* Real-API e2e for the pi-ai-backed adapter: V4 Flash + V4 Pro with provider
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* defaults and representative high/max reasoning. Mirrors the native
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* defaults and representative off/high/max reasoning. Mirrors the native
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* adapter's StreamChunk contract and exercises a replayed tool follow-up.
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* Key-gated.
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*/
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@@ -74,6 +74,19 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
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expect(textOf(result).toLowerCase()).toContain('pong')
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})
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it('flash + reasoning off: plain text without reasoning blocks', async () => {
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const ctx = await harness(FLASH)
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const result = await assemble(ctx,{
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model: FLASH,
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reasoningEffort: ReasoningEffortId('off'),
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messages: ask('Reply with exactly the word: pong'),
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maxTokens: 50,
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})
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expect(result.finish.kind).toBe('stop')
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expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
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expect(textOf(result).toLowerCase()).toContain('pong')
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})
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it.each([FLASH, PRO])('%s + reasoning high: reasoning blocks present', async (model) => {
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const ctx = await harness(model)
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const result = await assemble(ctx,{
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@@ -149,7 +149,7 @@ describe('PiAiAdapter provider routing', () => {
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})
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it('uses a dynamic request effort and rejects unsupported efforts before network I/O', async () => {
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const server = await mockServer([{ events: textEvents }])
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const server = await mockServer([{ events: textEvents }, { events: textEvents }])
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const ctx = await harness(server.url, { reasoning: 'max' })
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await assemble(ctx, {
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@@ -159,12 +159,20 @@ describe('PiAiAdapter provider routing', () => {
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})
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expect(server.requests[0]).toMatchObject({ reasoning_effort: 'high' })
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await assemble(ctx, {
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model: 'deepseek-v4-flash',
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reasoningEffort: ReasoningEffortId('off'),
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messages: [],
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})
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expect(server.requests[1]).toMatchObject({ thinking: { type: 'disabled' } })
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expect(server.requests[1]).not.toHaveProperty('reasoning_effort')
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await expect(assemble(ctx, {
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model: 'deepseek-v4-flash',
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reasoningEffort: ReasoningEffortId('xhigh'),
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messages: [],
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})).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
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expect(server.requests).toHaveLength(1)
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expect(server.requests).toHaveLength(2)
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})
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it('preserves omitted profile options when constructing the adapter directly', async () => {
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@@ -341,27 +349,30 @@ describe('provider profile lifecycle', () => {
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provider: 'openai', id: 'gpt-4.1', name: 'GPT-4.1',
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})
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expect(models.every(model => model.provider === 'openai')).toBe(true)
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const context = await ctx.llm.resolveModelContext('openai', 'gpt-4.1')
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expect(context).toBeDefined()
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expect(typeof context?.contextWindow).toBe('number')
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const info = await ctx.llm.resolveModelInfo('openai', 'gpt-4.1')
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expect(typeof info.context?.contextWindow).toBe('number')
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})
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it('exposes model-specific reasoning levels without off or an invented provider default', async () => {
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it('exposes pi-ai model thinking levels verbatim without inventing a provider default', async () => {
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const ctx = new Context()
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await ctx.plugin(LlmService)
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await ctx.plugin(LlmPiAi, {
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providers: [{ provider: 'deepseek' }, { provider: 'openai' }],
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})
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await expect(ctx.llm.resolveModelReasoning('deepseek', 'deepseek-v4-flash'))
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.resolves.toEqual({
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efforts: [
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{ id: ReasoningEffortId('high'), name: 'High' },
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{ id: ReasoningEffortId('max'), name: 'Max' },
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],
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await expect(ctx.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
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.resolves.toMatchObject({
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reasoning: {
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efforts: [
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{ id: ReasoningEffortId('off'), name: 'Off' },
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{ id: ReasoningEffortId('high'), name: 'High' },
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{ id: ReasoningEffortId('max'), name: 'Max' },
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],
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},
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})
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const extended = await ctx.llm.resolveModelReasoning('openai', 'gpt-5.6-sol')
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expect(extended?.efforts.map(effort => effort.id)).toEqual([
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const extended = await ctx.llm.resolveModelInfo('openai', 'gpt-5.6-sol')
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expect(extended.reasoning?.efforts.map(effort => effort.id)).toEqual([
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ReasoningEffortId('off'),
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ReasoningEffortId('minimal'),
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ReasoningEffortId('low'),
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ReasoningEffortId('medium'),
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@@ -369,8 +380,12 @@ describe('provider profile lifecycle', () => {
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ReasoningEffortId('xhigh'),
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ReasoningEffortId('max'),
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])
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await expect(ctx.llm.resolveModelReasoning('openai', 'gpt-4.1'))
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.resolves.toBeUndefined()
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await expect(ctx.llm.resolveModelInfo('openai', 'gpt-4.1'))
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.resolves.toMatchObject({
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reasoning: {
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efforts: [{ id: ReasoningEffortId('off'), name: 'Off' }],
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},
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})
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})
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it('uses a supported profile reasoning value as the model default and rejects an unsupported one', async () => {
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@@ -379,16 +394,24 @@ describe('provider profile lifecycle', () => {
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await supported.plugin(LlmPiAi, {
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providers: [{ provider: 'deepseek', reasoning: 'max' }],
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})
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await expect(supported.llm.resolveModelReasoning('deepseek', 'deepseek-v4-flash'))
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.resolves.toMatchObject({ defaultEffort: ReasoningEffortId('max') })
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await expect(supported.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
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.resolves.toMatchObject({ reasoning: { defaultEffort: ReasoningEffortId('max') } })
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const unsupported = new Context()
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await unsupported.plugin(LlmService)
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await unsupported.plugin(LlmPiAi, {
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providers: [{ provider: 'deepseek', reasoning: 'medium' }],
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})
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await expect(unsupported.llm.resolveModelReasoning('deepseek', 'deepseek-v4-flash'))
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await expect(unsupported.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
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.rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
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const disabled = new Context()
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await disabled.plugin(LlmService)
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await disabled.plugin(LlmPiAi, {
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providers: [{ provider: 'deepseek', reasoning: 'off' }],
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})
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await expect(disabled.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
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.resolves.toMatchObject({ reasoning: { defaultEffort: ReasoningEffortId('off') } })
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})
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it('accepts absent credentials for pi-ai ambient authentication', async () => {
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@@ -440,11 +463,9 @@ describe('provider profile lifecycle', () => {
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it('constructs the adapter directly and rejects routes it does not own', async () => {
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const adapter = new PiAiAdapter({ profiles: [{ provider: 'openai' }] })
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await expect(adapter.listModels('anthropic')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
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await expect(adapter.resolveModelContext('anthropic', 'claude-sonnet-4'))
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await expect(adapter.resolveModel('anthropic', 'claude-sonnet-4'))
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.rejects.toMatchObject({ code: 'NO_ADAPTER' })
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await expect(adapter.resolveModelReasoning('anthropic', 'claude-sonnet-4'))
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.rejects.toMatchObject({ code: 'NO_ADAPTER' })
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await expect(adapter.resolveModelContext('openai', 'not-a-catalog-model'))
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await expect(adapter.resolveModel('openai', 'not-a-catalog-model'))
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.rejects.toMatchObject({ code: 'UNKNOWN_MODEL' })
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await expect((async () => {
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for await (const _chunk of adapter.stream({ provider: 'anthropic', model: 'claude-sonnet-4', messages: [] })) { /* drain */ }
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Reference in New Issue
Block a user