@opencode-ai/ai
Advanced tools
@opencode-ai/ai - npm Package Compare versions
@@ -27,2 +27,3 @@ import { Effect, Schema } from "effect"; | ||
| "content_block_stop", | ||
| "ping", | ||
| "error", | ||
@@ -833,7 +834,7 @@ ]); | ||
| }; | ||
| const onError = (event) => new AIError({ | ||
| const onError = (event) => Effect.fail(new AIError({ | ||
| module: ADAPTER, | ||
| method: "stream", | ||
| reason: classifyProviderFailure({ message: providerErrorMessage(event), code: event.error?.type }), | ||
| }); | ||
| })); | ||
| const step = (state, event) => { | ||
@@ -840,0 +841,0 @@ if (event.type === "message_start") |
@@ -24,7 +24,7 @@ import { Schema } from "effect"; | ||
| contents: Schema.$Array<Schema.Struct<{ | ||
| readonly role: Schema.Literals<readonly ["user", "model"]>; | ||
| readonly parts: Schema.$Array<Schema.Union<readonly [Schema.Struct<{ | ||
| readonly role: Schema.optional<Schema.NullOr<Schema.Literals<readonly ["user", "model"]>>>; | ||
| readonly parts: Schema.optional<Schema.NullOr<Schema.$Array<Schema.Union<readonly [Schema.Struct<{ | ||
| readonly text: Schema.String; | ||
| readonly thought: Schema.optional<Schema.Boolean>; | ||
| readonly thoughtSignature: Schema.optional<Schema.String>; | ||
| readonly thought: Schema.optional<Schema.NullOr<Schema.Boolean>>; | ||
| readonly thoughtSignature: Schema.optional<Schema.NullOr<Schema.String>>; | ||
| }>, Schema.Struct<{ | ||
@@ -37,7 +37,7 @@ readonly inlineData: Schema.Struct<{ | ||
| readonly functionCall: Schema.Struct<{ | ||
| readonly id: Schema.optional<Schema.String>; | ||
| readonly id: Schema.optional<Schema.NullOr<Schema.String>>; | ||
| readonly name: Schema.String; | ||
| readonly args: Schema.optional<Schema.Unknown>; | ||
| }>; | ||
| readonly thoughtSignature: Schema.optional<Schema.String>; | ||
| readonly thoughtSignature: Schema.optional<Schema.NullOr<Schema.String>>; | ||
| }>, Schema.Struct<{ | ||
@@ -55,3 +55,3 @@ readonly functionResponse: Schema.Struct<{ | ||
| }>; | ||
| }>]>>; | ||
| }>]>>>>; | ||
| }>>; | ||
@@ -105,4 +105,3 @@ labels: Schema.optional<Schema.$Record<Schema.String, Schema.String>>; | ||
| readonly contents: readonly { | ||
| readonly role: "model" | "user"; | ||
| readonly parts: readonly ({ | ||
| readonly parts?: readonly ({ | ||
| readonly inlineData: { | ||
@@ -114,11 +113,11 @@ readonly mimeType: string; | ||
| readonly text: string; | ||
| readonly thought?: boolean | undefined; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thought?: boolean | null | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
| readonly functionCall: { | ||
| readonly name: string; | ||
| readonly id?: string | undefined; | ||
| readonly id?: string | null | undefined; | ||
| readonly args?: unknown; | ||
| }; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
@@ -136,3 +135,4 @@ readonly functionResponse: { | ||
| }; | ||
| })[]; | ||
| })[] | null | undefined; | ||
| readonly role?: "model" | "user" | null | undefined; | ||
| }[]; | ||
@@ -186,4 +186,3 @@ readonly tools?: readonly { | ||
| readonly content?: { | ||
| readonly role: "model" | "user"; | ||
| readonly parts: readonly ({ | ||
| readonly parts?: readonly ({ | ||
| readonly inlineData: { | ||
@@ -195,11 +194,11 @@ readonly mimeType: string; | ||
| readonly text: string; | ||
| readonly thought?: boolean | undefined; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thought?: boolean | null | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
| readonly functionCall: { | ||
| readonly name: string; | ||
| readonly id?: string | undefined; | ||
| readonly id?: string | null | undefined; | ||
| readonly args?: unknown; | ||
| }; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
@@ -217,19 +216,20 @@ readonly functionResponse: { | ||
| }; | ||
| })[]; | ||
| } | undefined; | ||
| readonly finishReason?: string | undefined; | ||
| }[] | undefined; | ||
| })[] | null | undefined; | ||
| readonly role?: "model" | "user" | null | undefined; | ||
| } | null | undefined; | ||
| readonly finishReason?: string | null | undefined; | ||
| }[] | null | undefined; | ||
| readonly promptFeedback?: { | ||
| readonly [x: string]: unknown; | ||
| readonly blockReason?: string | undefined; | ||
| readonly blockReasonMessage?: string | undefined; | ||
| readonly blockReason?: string | null | undefined; | ||
| readonly blockReasonMessage?: string | null | undefined; | ||
| readonly safetyRatings?: unknown; | ||
| } | undefined; | ||
| } | null | undefined; | ||
| readonly usageMetadata?: { | ||
| readonly cachedContentTokenCount?: number | undefined; | ||
| readonly thoughtsTokenCount?: number | undefined; | ||
| readonly promptTokenCount?: number | undefined; | ||
| readonly candidatesTokenCount?: number | undefined; | ||
| readonly totalTokenCount?: number | undefined; | ||
| } | undefined; | ||
| readonly cachedContentTokenCount?: number | null | undefined; | ||
| readonly thoughtsTokenCount?: number | null | undefined; | ||
| readonly promptTokenCount?: number | null | undefined; | ||
| readonly candidatesTokenCount?: number | null | undefined; | ||
| readonly totalTokenCount?: number | null | undefined; | ||
| } | null | undefined; | ||
| }, { | ||
@@ -241,4 +241,3 @@ hasToolCalls: boolean; | ||
| readonly contents: readonly { | ||
| readonly role: "model" | "user"; | ||
| readonly parts: readonly ({ | ||
| readonly parts?: readonly ({ | ||
| readonly inlineData: { | ||
@@ -250,11 +249,11 @@ readonly mimeType: string; | ||
| readonly text: string; | ||
| readonly thought?: boolean | undefined; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thought?: boolean | null | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
| readonly functionCall: { | ||
| readonly name: string; | ||
| readonly id?: string | undefined; | ||
| readonly id?: string | null | undefined; | ||
| readonly args?: unknown; | ||
| }; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
@@ -272,3 +271,4 @@ readonly functionResponse: { | ||
| }; | ||
| })[]; | ||
| })[] | null | undefined; | ||
| readonly role?: "model" | "user" | null | undefined; | ||
| }[]; | ||
@@ -275,0 +275,0 @@ readonly tools?: readonly { |
+68
-50
@@ -9,3 +9,3 @@ import { Effect, Schema } from "effect"; | ||
| import { LLMEvent, Usage, } from "../schema/index.js"; | ||
| import { JsonObject, optionalArray, ProviderShared } from "./shared.js"; | ||
| import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"; | ||
| import { GeminiToolSchema } from "./utils/gemini-tool-schema.js"; | ||
@@ -33,9 +33,20 @@ import { Lifecycle } from "./utils/lifecycle.js"; | ||
| const routesLegacyToolMedia = (modelID) => /gemini-2[.-]5(?:[.-]|$)/i.test(modelID); | ||
| // Blacklist: Gemini 1.x/2.x ignore or reject explicit function call ids. | ||
| // Every other model id (Gemini 3+, gemma, anything unrecognized) gets them. | ||
| const omitsFunctionCallIds = (modelID) => { | ||
| const match = /^gemini(?:-live)?-(\d+)/i.exec(modelID); | ||
| return match !== null && Number(match[1]) < 3; | ||
| }; | ||
| // ============================================================================= | ||
| // Request Body Schema | ||
| // ============================================================================= | ||
| // Gemini is known to send explicit `null` for optional streaming fields | ||
| // (usage counts, flags, whole subtrees), so every response-side optional uses | ||
| // `optionalNull` instead of bare `Schema.optional`. The same part/content | ||
| // schemas lower the outbound request body; encoding drops `undefined` keys, | ||
| // so the shared schemas stay safe there. | ||
| const GeminiTextPart = Schema.Struct({ | ||
| text: Schema.String, | ||
| thought: Schema.optional(Schema.Boolean), | ||
| thoughtSignature: Schema.optional(Schema.String), | ||
| thought: optionalNull(Schema.Boolean), | ||
| thoughtSignature: optionalNull(Schema.String), | ||
| }); | ||
@@ -50,7 +61,7 @@ const GeminiInlineDataPart = Schema.Struct({ | ||
| functionCall: Schema.Struct({ | ||
| id: Schema.optional(Schema.String), | ||
| id: optionalNull(Schema.String), | ||
| name: Schema.String, | ||
| args: Schema.optional(Schema.Unknown), | ||
| }), | ||
| thoughtSignature: Schema.optional(Schema.String), | ||
| thoughtSignature: optionalNull(Schema.String), | ||
| }); | ||
@@ -72,4 +83,4 @@ const GeminiFunctionResponsePart = Schema.Struct({ | ||
| const GeminiContent = Schema.Struct({ | ||
| role: Schema.Literals(["user", "model"]), | ||
| parts: Schema.Array(GeminiContentPart), | ||
| role: optionalNull(Schema.Literals(["user", "model"])), | ||
| parts: optionalNull(Schema.Array(GeminiContentPart)), | ||
| }); | ||
@@ -126,21 +137,21 @@ const GeminiSystemInstruction = Schema.Struct({ | ||
| const GeminiUsage = Schema.Struct({ | ||
| cachedContentTokenCount: Schema.optional(Schema.Number), | ||
| thoughtsTokenCount: Schema.optional(Schema.Number), | ||
| promptTokenCount: Schema.optional(Schema.Number), | ||
| candidatesTokenCount: Schema.optional(Schema.Number), | ||
| totalTokenCount: Schema.optional(Schema.Number), | ||
| cachedContentTokenCount: optionalNull(Schema.Number), | ||
| thoughtsTokenCount: optionalNull(Schema.Number), | ||
| promptTokenCount: optionalNull(Schema.Number), | ||
| candidatesTokenCount: optionalNull(Schema.Number), | ||
| totalTokenCount: optionalNull(Schema.Number), | ||
| }); | ||
| const GeminiCandidate = Schema.Struct({ | ||
| content: Schema.optional(GeminiContent), | ||
| finishReason: Schema.optional(Schema.String), | ||
| content: optionalNull(GeminiContent), | ||
| finishReason: optionalNull(Schema.String), | ||
| }); | ||
| const GeminiPromptFeedback = Schema.StructWithRest(Schema.Struct({ | ||
| blockReason: Schema.optional(Schema.String), | ||
| blockReasonMessage: Schema.optional(Schema.String), | ||
| safetyRatings: Schema.optional(Schema.Unknown), | ||
| blockReason: optionalNull(Schema.String), | ||
| blockReasonMessage: optionalNull(Schema.String), | ||
| safetyRatings: optionalNull(Schema.Unknown), | ||
| }), [Schema.Record(Schema.String, Schema.Unknown)]); | ||
| const GeminiEvent = Schema.Struct({ | ||
| candidates: optionalArray(GeminiCandidate), | ||
| promptFeedback: Schema.optional(GeminiPromptFeedback), | ||
| usageMetadata: Schema.optional(GeminiUsage), | ||
| candidates: optionalNull(Schema.Array(GeminiCandidate)), | ||
| promptFeedback: optionalNull(GeminiPromptFeedback), | ||
| usageMetadata: optionalNull(GeminiUsage), | ||
| }); | ||
@@ -196,10 +207,4 @@ // ============================================================================= | ||
| }; | ||
| const functionCallId = (providerMetadata) => { | ||
| const google = providerMetadata?.google; | ||
| return ProviderShared.isRecord(google) && typeof google.functionCallId === "string" | ||
| ? google.functionCallId | ||
| : undefined; | ||
| }; | ||
| const lowerToolCall = (part) => ({ | ||
| functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input }, | ||
| const lowerToolCall = (part, omitIds) => ({ | ||
| functionCall: { ...(omitIds ? {} : { id: part.id }), name: part.name, args: part.input }, | ||
| thoughtSignature: thoughtSignature(part.providerMetadata), | ||
@@ -209,2 +214,3 @@ }); | ||
| const contents = []; | ||
| const omitCallIds = omitsFunctionCallIds(request.model.id); | ||
| const legacyToolMedia = routesLegacyToolMedia(request.model.id); | ||
@@ -226,4 +232,4 @@ let pendingMedia; | ||
| // parts, so an update after a tool result starts its own user turn. | ||
| if (previous?.role === "user" && !previous.parts.some((item) => "functionResponse" in item)) | ||
| contents[contents.length - 1] = { role: "user", parts: [...previous.parts, { text: part.text }] }; | ||
| if (previous?.role === "user" && !(previous.parts ?? []).some((item) => "functionResponse" in item)) | ||
| contents[contents.length - 1] = { role: "user", parts: [...(previous.parts ?? []), { text: part.text }] }; | ||
| else | ||
@@ -259,3 +265,3 @@ contents.push({ role: "user", parts: [{ text: part.text }] }); | ||
| if (part.type === "tool-call") { | ||
| const lowered = lowerToolCall(part); | ||
| const lowered = lowerToolCall(part, omitCallIds); | ||
| const signature = lowered.thoughtSignature; | ||
@@ -284,3 +290,3 @@ parts.push({ | ||
| functionResponse: { | ||
| id: functionCallId(part.providerMetadata), | ||
| ...(omitCallIds ? {} : { id: part.id }), | ||
| name: part.name, | ||
@@ -308,3 +314,3 @@ response: { | ||
| functionResponse: { | ||
| id: functionCallId(part.providerMetadata), | ||
| ...(omitCallIds ? {} : { id: part.id }), | ||
| name: part.name, | ||
@@ -322,4 +328,4 @@ response: { | ||
| const previous = contents.at(-1); | ||
| if (previous?.role === "user" && previous.parts.some((item) => "functionResponse" in item)) | ||
| contents[contents.length - 1] = { role: "user", parts: [...previous.parts, ...parts] }; | ||
| if (previous?.role === "user" && (previous.parts ?? []).some((item) => "functionResponse" in item)) | ||
| contents[contents.length - 1] = { role: "user", parts: [...(previous.parts ?? []), ...parts] }; | ||
| else | ||
@@ -403,4 +409,9 @@ contents.push({ role: "user", parts }); | ||
| return undefined; | ||
| const cached = usage.cachedContentTokenCount; | ||
| const nonCached = ProviderShared.subtractTokens(usage.promptTokenCount, cached); | ||
| // Explicit provider nulls decode as `null`; normalize to `undefined` so the | ||
| // token arithmetic below treats them like absent counts. | ||
| const promptTokens = usage.promptTokenCount ?? undefined; | ||
| const cached = usage.cachedContentTokenCount ?? undefined; | ||
| const thoughts = usage.thoughtsTokenCount ?? undefined; | ||
| const visible = usage.candidatesTokenCount ?? undefined; | ||
| const nonCached = ProviderShared.subtractTokens(promptTokens, cached); | ||
| // `candidatesTokenCount` is visible-only; sum with thoughts to produce the | ||
@@ -410,10 +421,10 @@ // inclusive `outputTokens` the contract expects. Only compute the total | ||
| // inclusive number from a partial breakdown. | ||
| const outputTokens = usage.candidatesTokenCount !== undefined ? usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0) : undefined; | ||
| const outputTokens = visible !== undefined ? visible + (thoughts ?? 0) : undefined; | ||
| return new Usage({ | ||
| inputTokens: usage.promptTokenCount, | ||
| inputTokens: promptTokens, | ||
| outputTokens, | ||
| nonCachedInputTokens: nonCached, | ||
| cacheReadInputTokens: cached, | ||
| reasoningTokens: usage.thoughtsTokenCount, | ||
| totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount), | ||
| reasoningTokens: thoughts, | ||
| totalTokens: ProviderShared.totalTokens(promptTokens, outputTokens, usage.totalTokenCount ?? undefined), | ||
| providerMetadata: { google: usage }, | ||
@@ -450,3 +461,5 @@ }); | ||
| const finish = (state) => { | ||
| const promptBlockReason = state.finishReason === undefined ? state.promptFeedback?.blockReason : undefined; | ||
| // `?? undefined` normalizes an explicit `null` blockReason back to absent so | ||
| // the "nothing to finish" check below keeps its meaning. | ||
| const promptBlockReason = state.finishReason === undefined ? (state.promptFeedback?.blockReason ?? undefined) : undefined; | ||
| const finishReason = state.finishReason ?? promptBlockReason; | ||
@@ -488,3 +501,5 @@ if (finishReason === undefined && state.usage === undefined) | ||
| let textSignature = nextState.textSignature; | ||
| for (const part of candidate.content.parts) { | ||
| // Supplier ids must be tracked across chunks of the same response, not just within one event's parts. | ||
| const seenCallIds = new Set(nextState.seenCallIds); | ||
| for (const part of candidate.content.parts ?? []) { | ||
| const signature = "thoughtSignature" in part && part.thoughtSignature ? part.thoughtSignature : undefined; | ||
@@ -509,9 +524,11 @@ // Gemini attaches replay signatures to thought parts, visible text, or function calls; | ||
| const input = part.functionCall.args === undefined ? {} : part.functionCall.args; | ||
| // Gemini 2.0+ and Vertex supply a unique function call ID on the part; when omitted (e.g. Gemini 1.5), | ||
| // Gemini 2.0+ supplies a unique function call ID on the part; when omitted (e.g. Gemini 1.5), | ||
| // generate a globally unique ID rather than a per-request counter to prevent cross-request collisions in downstream registries. | ||
| const id = part.functionCall.id ?? `tool_${crypto.randomUUID().replaceAll("-", "")}`; | ||
| const metadata = { | ||
| ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }), | ||
| ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }), | ||
| }; | ||
| // A repeated supplier id would replay as two identical calls, so only the first occurrence keeps it. | ||
| // A `null` supplier id normalizes to absent so the generated-id fallback applies. | ||
| const supplied = part.functionCall.id ?? undefined; | ||
| const duplicate = supplied !== undefined && seenCallIds.has(supplied); | ||
| if (supplied !== undefined) | ||
| seenCallIds.add(supplied); | ||
| const id = supplied !== undefined && !duplicate ? supplied : `tool_${crypto.randomUUID().replaceAll("-", "")}`; | ||
| lifecycle = Lifecycle.reasoningEnd(lifecycle, events, "reasoning-0", reasoningSignature ? googleMetadata({ thoughtSignature: reasoningSignature }) : undefined); | ||
@@ -523,3 +540,3 @@ lifecycle = Lifecycle.stepStart(lifecycle, events); | ||
| input, | ||
| providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined, | ||
| providerMetadata: part.thoughtSignature ? googleMetadata({ thoughtSignature: part.thoughtSignature }) : undefined, | ||
| })); | ||
@@ -536,2 +553,3 @@ hasToolCalls = true; | ||
| textSignature, | ||
| seenCallIds, | ||
| finishReason: candidate.finishReason ?? nextState.finishReason, | ||
@@ -538,0 +556,0 @@ }, |
@@ -210,3 +210,3 @@ import { Effect, Schema } from "effect"; | ||
| truncation: Schema.optional<Schema.Literals<readonly ["auto", "disabled"]>>; | ||
| service_tier: Schema.optional<Schema.Literals<readonly ["auto", "default", "flex", "priority"]>>; | ||
| service_tier: Schema.optional<Schema.declare<OpenResponsesOptions.ServiceTier, OpenResponsesOptions.ServiceTier>>; | ||
| prompt_cache_key: Schema.optional<Schema.String>; | ||
@@ -324,3 +324,3 @@ include: Schema.optional<Schema.$Array<Schema.declare<OpenResponsesOptions.ResponseIncludable, OpenResponsesOptions.ResponseIncludable>>>; | ||
| readonly truncation: Schema.optional<Schema.Literals<readonly ["auto", "disabled"]>>; | ||
| readonly service_tier: Schema.optional<Schema.Literals<readonly ["auto", "default", "flex", "priority"]>>; | ||
| readonly service_tier: Schema.optional<Schema.declare<OpenResponsesOptions.ServiceTier, OpenResponsesOptions.ServiceTier>>; | ||
| readonly prompt_cache_key: Schema.optional<Schema.String>; | ||
@@ -484,3 +484,3 @@ readonly include: Schema.optional<Schema.$Array<Schema.declare<OpenResponsesOptions.ResponseIncludable, OpenResponsesOptions.ResponseIncludable>>>; | ||
| max_tool_calls?: number | undefined; | ||
| service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| service_tier?: OpenResponsesOptions.ServiceTier | undefined; | ||
| text?: { | ||
@@ -646,3 +646,3 @@ verbosity: OpenResponsesOptions.TextVerbosity; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: OpenResponsesOptions.ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -957,3 +957,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: OpenResponsesOptions.ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -1129,3 +1129,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: OpenResponsesOptions.ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -1132,0 +1132,0 @@ readonly max_tool_calls?: number | undefined; |
| import { Effect, Schema } from "effect"; | ||
| import { HttpTransport } from "../route/transport/index.js"; | ||
| import { Protocol } from "../route/protocol.js"; | ||
| import { AIError, LLMEvent, Usage, } from "../schema/index.js"; | ||
| import { AIError, LLMEvent, ProviderInternalReason, Usage, } from "../schema/index.js"; | ||
| import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"; | ||
@@ -293,3 +293,3 @@ import { classifyProviderFailure } from "../provider-error.js"; | ||
| filename: part.filename ?? (media.mime === "application/pdf" ? "document.pdf" : "file"), | ||
| ...(url ? { file_url: url } : { file_data: media.base64 }), | ||
| ...(url ? { file_url: url } : { file_data: media.dataUrl }), | ||
| }; | ||
@@ -860,2 +860,9 @@ } | ||
| : undefined; | ||
| const reason = event.type === "error" && | ||
| event.error === undefined && | ||
| event.response === undefined && | ||
| summary === undefined && | ||
| status === undefined | ||
| ? new ProviderInternalReason({ message }) | ||
| : classifyProviderFailure({ message, code, status, rawBody: body }); | ||
| return new AIError({ | ||
@@ -865,3 +872,3 @@ module: id, | ||
| body, | ||
| reason: classifyProviderFailure({ message, code, status, rawBody: body }), | ||
| reason, | ||
| }); | ||
@@ -868,0 +875,0 @@ }; |
@@ -204,3 +204,3 @@ import { Effect, Schema } from "effect"; | ||
| export declare const OpenAIChatEvent: Schema.Struct<{ | ||
| readonly choices: Schema.optional<Schema.NullOr<Schema.$Array<Schema.Struct<{ | ||
| readonly choices: Schema.optional<Schema.NullOr<Schema.$Array<Schema.StructWithRest<Schema.Struct<{ | ||
| readonly delta: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
@@ -224,3 +224,19 @@ readonly content: Schema.optional<Schema.NullOr<Schema.String>>; | ||
| readonly native_finish_reason: Schema.optional<Schema.NullOr<Schema.String>>; | ||
| }>>>>; | ||
| readonly usage: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
| readonly prompt_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly completion_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly total_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly cached_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly prompt_cache_hit_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly prompt_tokens_details: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
| readonly cached_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly cache_write_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| }>, readonly [Schema.$Record<Schema.String, Schema.Unknown>]>>>; | ||
| readonly completion_tokens_details: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
| readonly reasoning_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly accepted_prediction_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly rejected_prediction_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| }>, readonly [Schema.$Record<Schema.String, Schema.Unknown>]>>>; | ||
| }>, readonly [Schema.$Record<Schema.String, Schema.Unknown>]>>>; | ||
| }>, readonly [Schema.$Record<Schema.String, Schema.Unknown>]>>>>; | ||
| readonly usage: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
@@ -230,2 +246,4 @@ readonly prompt_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly total_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly cached_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly prompt_cache_hit_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly prompt_tokens_details: Schema.optional<Schema.NullOr<Schema.StructWithRest<Schema.Struct<{ | ||
@@ -572,2 +590,4 @@ readonly cached_tokens: Schema.optional<Schema.NullOr<Schema.Number>>; | ||
| readonly total_tokens?: number | null | undefined; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly prompt_cache_hit_tokens?: number | null | undefined; | ||
| readonly prompt_tokens_details?: { | ||
@@ -586,2 +606,3 @@ readonly [x: string]: unknown; | ||
| readonly choices?: readonly { | ||
| readonly [x: string]: unknown; | ||
| readonly delta?: { | ||
@@ -604,2 +625,21 @@ readonly [x: string]: unknown; | ||
| } | null | undefined; | ||
| readonly usage?: { | ||
| readonly [x: string]: unknown; | ||
| readonly prompt_tokens?: number | null | undefined; | ||
| readonly completion_tokens?: number | null | undefined; | ||
| readonly total_tokens?: number | null | undefined; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly prompt_cache_hit_tokens?: number | null | undefined; | ||
| readonly prompt_tokens_details?: { | ||
| readonly [x: string]: unknown; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly cache_write_tokens?: number | null | undefined; | ||
| } | null | undefined; | ||
| readonly completion_tokens_details?: { | ||
| readonly [x: string]: unknown; | ||
| readonly reasoning_tokens?: number | null | undefined; | ||
| readonly accepted_prediction_tokens?: number | null | undefined; | ||
| readonly rejected_prediction_tokens?: number | null | undefined; | ||
| } | null | undefined; | ||
| } | null | undefined; | ||
| readonly finish_reason?: string | null | undefined; | ||
@@ -606,0 +646,0 @@ readonly native_finish_reason?: string | null | undefined; |
@@ -126,2 +126,5 @@ import { Effect, Schema } from "effect"; | ||
| total_tokens: optionalNull(Schema.Number), | ||
| // Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`. | ||
| cached_tokens: optionalNull(Schema.Number), | ||
| prompt_cache_hit_tokens: optionalNull(Schema.Number), | ||
| prompt_tokens_details: optionalNull(Schema.StructWithRest(Schema.Struct({ | ||
@@ -155,7 +158,9 @@ cached_tokens: optionalNull(Schema.Number), | ||
| }), [Schema.Record(Schema.String, Schema.Unknown)]); | ||
| const OpenAIChatChoice = Schema.Struct({ | ||
| const OpenAIChatChoice = Schema.StructWithRest(Schema.Struct({ | ||
| delta: optionalNull(OpenAIChatDelta), | ||
| finish_reason: optionalNull(Schema.String), | ||
| native_finish_reason: optionalNull(Schema.String), | ||
| }); | ||
| // Moonshot streams usage on `choice.usage` instead of top-level `usage`. | ||
| usage: optionalNull(OpenAIChatUsage), | ||
| }), [Schema.Record(Schema.String, Schema.Unknown)]); | ||
| const OpenAIChatError = Schema.Struct({ | ||
@@ -401,2 +406,14 @@ code: optionalNull(Schema.Union([Schema.String, Schema.Number])), | ||
| }); | ||
| // Anthropic via LiteLLM and Amazon Bedrock require `tools` to be present | ||
| // whenever the conversation history contains tool calls/results. Send an | ||
| // explicit empty array when we have history but no active tools. | ||
| const hasToolHistory = (messages) => { | ||
| for (const message of messages) { | ||
| if (message.role === "tool") | ||
| return true; | ||
| if (message.role === "assistant" && message.content.some((part) => part.type === "tool-call")) | ||
| return true; | ||
| } | ||
| return false; | ||
| }; | ||
| const lowerOptions = (request) => { | ||
@@ -419,2 +436,3 @@ const options = OpenAIOptions.resolve(request); | ||
| const maxTokensField = request.model.compatibility?.maxTokensField ?? "max_tokens"; | ||
| const hasHistory = hasToolHistory(request.messages); | ||
| return { | ||
@@ -424,3 +442,5 @@ model: request.model.id, | ||
| tools: request.tools.length === 0 | ||
| ? undefined | ||
| ? hasHistory | ||
| ? [] | ||
| : undefined | ||
| : request.tools.map((tool) => lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility), options)), | ||
@@ -466,2 +486,5 @@ tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined, | ||
| // satisfied on both sides. | ||
| // Providers differ on cache-hit location: OpenAI uses | ||
| // `prompt_tokens_details.cached_tokens`, DeepSeek uses | ||
| // `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`. | ||
| const mapUsage = (usage) => { | ||
@@ -472,3 +495,6 @@ if (!usage) | ||
| const output = usage.completion_tokens ?? undefined; | ||
| const cached = usage.prompt_tokens_details?.cached_tokens ?? undefined; | ||
| const cached = (usage.prompt_tokens_details?.cached_tokens ?? | ||
| usage.prompt_cache_hit_tokens ?? | ||
| usage.cached_tokens ?? | ||
| undefined); | ||
| const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined; | ||
@@ -564,4 +590,7 @@ const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined; | ||
| const events = []; | ||
| const usage = mapUsage(event.usage) ?? state.usage; | ||
| const choice = event.choices?.[0]; | ||
| // Moonshot (and a few other OpenAI-compatible providers) attach usage to | ||
| // `choice.usage` instead of the top-level `usage` field. | ||
| const choiceUsage = choice?.usage; | ||
| const usage = mapUsage(event.usage) ?? (choiceUsage ? mapUsage(choiceUsage) : undefined) ?? state.usage; | ||
| const rawFinishReason = choice?.finish_reason; | ||
@@ -568,0 +597,0 @@ const finishReason = rawFinishReason !== undefined && rawFinishReason !== null |
@@ -120,3 +120,3 @@ import { Route, type RouteRoutedLanguageModelInput } from "../route/client.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -123,0 +123,0 @@ readonly max_tool_calls?: number | undefined; |
@@ -115,3 +115,3 @@ import { Schema } from "effect"; | ||
| readonly truncation: Schema.optional<Schema.Literals<readonly ["auto", "disabled"]>>; | ||
| readonly service_tier: Schema.optional<Schema.Literals<readonly ["auto", "default", "flex", "priority"]>>; | ||
| readonly service_tier: Schema.optional<Schema.declare<import("./utils/open-responses-options.js").ServiceTier, import("./utils/open-responses-options.js").ServiceTier>>; | ||
| readonly prompt_cache_key: Schema.optional<Schema.String>; | ||
@@ -259,3 +259,3 @@ readonly include: Schema.optional<Schema.$Array<Schema.declare<import("./utils/open-responses-options.js").ResponseIncludable, import("./utils/open-responses-options.js").ResponseIncludable>>>; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -443,3 +443,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -573,3 +573,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -703,3 +703,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -833,3 +833,3 @@ readonly max_tool_calls?: number | undefined; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -836,0 +836,0 @@ readonly max_tool_calls?: number | undefined; |
@@ -112,3 +112,3 @@ import { Effect, Encoding, Schema } from "effect"; | ||
| }, | ||
| computer_use_call: { name: "computer_use", input: (item) => item.action ?? {} }, | ||
| computer_call: { name: "computer_use", input: (item) => item.action ?? {} }, | ||
| image_generation_call: { name: "image_generation", input: () => ({}), result: hostedToolResult }, | ||
@@ -119,3 +119,2 @@ mcp_call: { | ||
| }, | ||
| local_shell_call: { name: "local_shell", input: (item) => item.action ?? {} }, | ||
| }; | ||
@@ -122,0 +121,0 @@ const step = (state, event) => { |
@@ -12,3 +12,4 @@ import { Schema } from "effect"; | ||
| export declare const ServiceTiers: readonly ["auto", "default", "flex", "priority"]; | ||
| export type ServiceTier = (typeof ServiceTiers)[number]; | ||
| export type ServiceTier = (typeof ServiceTiers)[number] | (string & {}); | ||
| export declare const ServiceTier: Schema.declare<ServiceTier, ServiceTier>; | ||
| export declare const Truncations: readonly ["auto", "disabled"]; | ||
@@ -18,3 +19,3 @@ export type Truncation = (typeof Truncations)[number]; | ||
| export declare const ResponseIncludableSchema: Schema.declare<ResponseIncludable, ResponseIncludable>; | ||
| export declare const ServiceTierSchema: Schema.Literals<readonly ["auto", "default", "flex", "priority"]>; | ||
| export declare const ServiceTierSchema: Schema.declare<ServiceTier, ServiceTier>; | ||
| export declare const TruncationSchema: Schema.Literals<readonly ["auto", "disabled"]>; | ||
@@ -42,3 +43,3 @@ export declare const AllowedTools: Schema.Struct<{ | ||
| readonly textVerbosity: Schema.optional<Schema.declare<TextVerbosity, TextVerbosity>>; | ||
| readonly serviceTier: Schema.optional<Schema.Literals<readonly ["auto", "default", "flex", "priority"]>>; | ||
| readonly serviceTier: Schema.optional<Schema.declare<ServiceTier, ServiceTier>>; | ||
| readonly truncation: Schema.optional<Schema.Literals<readonly ["auto", "disabled"]>>; | ||
@@ -45,0 +46,0 @@ readonly allowedTools: Schema.optional<Schema.Struct<{ |
@@ -17,6 +17,7 @@ import { Option, Schema } from "effect"; | ||
| export const ServiceTiers = ["auto", "default", "flex", "priority"]; | ||
| export const ServiceTier = Schema.declare((value) => typeof value === "string", { title: "ServiceTier" }); | ||
| export const Truncations = ["auto", "disabled"]; | ||
| export const TextVerbositySchema = TextVerbosity; | ||
| export const ResponseIncludableSchema = Schema.declare((value) => typeof value === "string", { title: "ResponseIncludable" }); | ||
| export const ServiceTierSchema = Schema.Literals(ServiceTiers); | ||
| export const ServiceTierSchema = ServiceTier; | ||
| export const TruncationSchema = Schema.Literals(Truncations); | ||
@@ -23,0 +24,0 @@ export const AllowedTools = Schema.Struct({ |
@@ -8,10 +8,10 @@ import { OpenResponsesOptions } from "./open-responses-options.js"; | ||
| export type OpenAIResponseIncludable = OpenResponsesOptions.ResponseIncludable; | ||
| export declare const OpenAIServiceTiers: readonly ["auto", "default", "flex", "priority"]; | ||
| export type OpenAIServiceTier = OpenResponsesOptions.ServiceTier; | ||
| export declare const OpenAIServiceTiers: readonly ["auto", "default", "flex", "priority", "scale"]; | ||
| export type OpenAIServiceTier = (typeof OpenAIServiceTiers)[number] | (string & {}); | ||
| export declare const OpenAIReasoningEffort: import("effect/Schema").declare<OpenResponsesOptions.ReasoningEffort, OpenResponsesOptions.ReasoningEffort>; | ||
| export declare const OpenAITextVerbosity: import("effect/Schema").declare<OpenResponsesOptions.TextVerbosity, OpenResponsesOptions.TextVerbosity>; | ||
| export declare const OpenAIResponseIncludable: import("effect/Schema").declare<OpenResponsesOptions.ResponseIncludable, OpenResponsesOptions.ResponseIncludable>; | ||
| export declare const OpenAIServiceTier: import("effect/Schema").Literals<readonly ["auto", "default", "flex", "priority"]>; | ||
| export declare const OpenAIServiceTier: import("effect/Schema").declare<OpenResponsesOptions.ServiceTier, OpenResponsesOptions.ServiceTier>; | ||
| export declare const isReasoningEffort: (effort: unknown) => effort is OpenAIReasoningEffort; | ||
| export declare const resolve: (request: import("../../index.js").LLMRequest) => OpenResponsesOptions.Resolved; | ||
| export * as OpenAIOptions from "./openai-options.js"; |
@@ -7,3 +7,3 @@ import { OpenResponsesOptions } from "./open-responses-options.js"; | ||
| export const OpenAIResponseIncludables = OpenResponsesOptions.ResponseIncludables; | ||
| export const OpenAIServiceTiers = OpenResponsesOptions.ServiceTiers; | ||
| export const OpenAIServiceTiers = [...OpenResponsesOptions.ServiceTiers, "scale"]; | ||
| export const OpenAIReasoningEffort = OpenResponsesOptions.ReasoningEffort; | ||
@@ -10,0 +10,0 @@ export const OpenAITextVerbosity = OpenResponsesOptions.TextVerbosity; |
@@ -115,3 +115,3 @@ import { Protocol } from "../route/protocol.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("./utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -118,0 +118,0 @@ readonly max_tool_calls?: number | undefined; |
@@ -242,3 +242,3 @@ import type { Route as RouteDef, RouteDefaultsInput } from "../route/client.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("../protocols/utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -250,5 +250,5 @@ readonly max_tool_calls?: number | undefined; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: Config) => /*elided*/ any; | ||
@@ -258,10 +258,10 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: Config) => { | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -272,2 +272,2 @@ }; | ||
| export declare const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"]; | ||
| export declare const model: (modelID: string, settings: Settings) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const model: (modelID: string, settings: Settings) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; |
@@ -245,3 +245,3 @@ import { type AtLeastOne, type ProviderAuthOption } from "../route/auth-options.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("../protocols/utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -253,5 +253,5 @@ readonly max_tool_calls?: number | undefined; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input: Config) => /*elided*/ any; | ||
@@ -263,5 +263,5 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -272,3 +272,3 @@ }; | ||
| export declare const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"]; | ||
| export declare const model: (modelID: string, settings: Settings) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const model: (modelID: string, settings: Settings) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| export {}; |
@@ -326,3 +326,3 @@ import type { Config, Redacted } from "effect"; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -335,3 +335,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -338,0 +338,0 @@ }; |
@@ -120,3 +120,3 @@ import type { ProviderPackage } from "../provider-package.js"; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: Config) => /*elided*/ any; | ||
@@ -128,3 +128,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -131,0 +131,0 @@ }; |
@@ -133,3 +133,3 @@ import type { ProviderPackage } from "../provider-package.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("../protocols/utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -136,0 +136,0 @@ readonly max_tool_calls?: number | undefined; |
@@ -31,4 +31,3 @@ import type { ProviderPackage } from "../provider-package.js"; | ||
| readonly contents: readonly { | ||
| readonly role: "model" | "user"; | ||
| readonly parts: readonly ({ | ||
| readonly parts?: readonly ({ | ||
| readonly inlineData: { | ||
@@ -40,11 +39,11 @@ readonly mimeType: string; | ||
| readonly text: string; | ||
| readonly thought?: boolean | undefined; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thought?: boolean | null | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
| readonly functionCall: { | ||
| readonly name: string; | ||
| readonly id?: string | undefined; | ||
| readonly id?: string | null | undefined; | ||
| readonly args?: unknown; | ||
| }; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
@@ -62,3 +61,4 @@ readonly functionResponse: { | ||
| }; | ||
| })[]; | ||
| })[] | null | undefined; | ||
| readonly role?: "model" | "user" | null | undefined; | ||
| }[]; | ||
@@ -65,0 +65,0 @@ readonly tools?: readonly { |
@@ -13,2 +13,14 @@ import { Effect } from "effect"; | ||
| const body = yield* Gemini.protocol.body.from(request); | ||
| // Vertex's native REST schema rejects `id` on FunctionCall/FunctionResponse parts with HTTP 400, | ||
| // unlike AI Studio, so history minted there cannot be lowered verbatim. | ||
| const contents = body.contents.map((content) => ({ | ||
| ...content, | ||
| parts: (content.parts ?? []).map((part) => { | ||
| if ("functionCall" in part) | ||
| return { ...part, functionCall: { ...part.functionCall, id: undefined } }; | ||
| if ("functionResponse" in part) | ||
| return { ...part, functionResponse: { ...part.functionResponse, id: undefined } }; | ||
| return part; | ||
| }), | ||
| })); | ||
| const value = request.providerOptions?.labels; | ||
@@ -18,3 +30,3 @@ const labels = ProviderShared.isRecord(value) | ||
| : undefined; | ||
| return { ...body, labels }; | ||
| return { ...body, contents, labels }; | ||
| }); | ||
@@ -21,0 +33,0 @@ const protocol = { |
@@ -12,4 +12,3 @@ import type { RouteDefaultsInput } from "../route/client.js"; | ||
| readonly contents: readonly { | ||
| readonly role: "model" | "user"; | ||
| readonly parts: readonly ({ | ||
| readonly parts?: readonly ({ | ||
| readonly inlineData: { | ||
@@ -21,11 +20,11 @@ readonly mimeType: string; | ||
| readonly text: string; | ||
| readonly thought?: boolean | undefined; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thought?: boolean | null | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
| readonly functionCall: { | ||
| readonly name: string; | ||
| readonly id?: string | undefined; | ||
| readonly id?: string | null | undefined; | ||
| readonly args?: unknown; | ||
| }; | ||
| readonly thoughtSignature?: string | undefined; | ||
| readonly thoughtSignature?: string | null | undefined; | ||
| } | { | ||
@@ -43,3 +42,4 @@ readonly functionResponse: { | ||
| }; | ||
| })[]; | ||
| })[] | null | undefined; | ||
| readonly role?: "model" | "user" | null | undefined; | ||
| }[]; | ||
@@ -46,0 +46,0 @@ readonly tools?: readonly { |
@@ -131,3 +131,3 @@ import type { ProviderPackage } from "../provider-package.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("../protocols/utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -134,0 +134,0 @@ readonly max_tool_calls?: number | undefined; |
@@ -121,3 +121,3 @@ import { type ModelID } from "../schema/index.js"; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input: GenericModelOptions) => /*elided*/ any; | ||
@@ -129,3 +129,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: /*elided*/ any; | ||
@@ -137,3 +137,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -143,3 +143,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -149,3 +149,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -155,3 +155,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -161,3 +161,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -167,3 +167,3 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
@@ -173,5 +173,5 @@ }; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| configure: (input?: FamilyModelOptions) => /*elided*/ any; | ||
| }; | ||
| export {}; |
| import { type ProviderOptions } from "../schema/index.js"; | ||
| import type { OpenResponsesOptionsInput } from "./open-responses-options.js"; | ||
| import type { OpenAIServiceTier } from "../protocols/utils/openai-options.js"; | ||
| import type { Options } from "../protocols/utils/open-responses-options.js"; | ||
| export type { OpenAIResponseIncludable, OpenAIServiceTier } from "../protocols/utils/openai-options.js"; | ||
| export type OpenAIOptionsInput = OpenResponsesOptionsInput; | ||
| export type OpenAIOptionsInput = Omit<Options, "serviceTier"> & { | ||
| readonly serviceTier?: OpenAIServiceTier; | ||
| readonly [key: string]: unknown; | ||
| }; | ||
| export type OpenAIProviderOptionsInput = OpenAIOptionsInput; | ||
@@ -6,0 +10,0 @@ export declare const gpt5DefaultOptions: (modelID: string, options?: { |
@@ -230,3 +230,3 @@ import { type ProviderAuthOption } from "../route/auth-options.js"; | ||
| readonly top_logprobs?: number | undefined; | ||
| readonly service_tier?: "default" | "auto" | "flex" | "priority" | undefined; | ||
| readonly service_tier?: import("../protocols/utils/open-responses-options.js").ServiceTier | undefined; | ||
| readonly max_output_tokens?: number | undefined; | ||
@@ -262,5 +262,5 @@ readonly max_tool_calls?: number | undefined; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/openai-images.js").OpenAIImageOptions>; | ||
@@ -271,11 +271,11 @@ configure: (input?: Config) => /*elided*/ any; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/openai-images.js").OpenAIImageOptions>; | ||
| configure: (input?: Config) => { | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/openai-images.js").OpenAIImageOptions>; | ||
@@ -287,4 +287,4 @@ configure: /*elided*/ any; | ||
| export declare const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"]; | ||
| export declare const responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const responses: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| export declare const chat: (id: string | ModelID) => import("../schema/options.js").LanguageModel<import("./openai-options.js").OpenAIOptionsInput>; | ||
| export declare const image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/openai-images.js").OpenAIImageOptions>; |
@@ -291,2 +291,4 @@ import { Schema } from "effect"; | ||
| readonly total_tokens?: number | null | undefined; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly prompt_cache_hit_tokens?: number | null | undefined; | ||
| readonly prompt_tokens_details?: { | ||
@@ -305,2 +307,3 @@ readonly [x: string]: unknown; | ||
| readonly choices?: readonly { | ||
| readonly [x: string]: unknown; | ||
| readonly delta?: { | ||
@@ -323,2 +326,21 @@ readonly [x: string]: unknown; | ||
| } | null | undefined; | ||
| readonly usage?: { | ||
| readonly [x: string]: unknown; | ||
| readonly prompt_tokens?: number | null | undefined; | ||
| readonly completion_tokens?: number | null | undefined; | ||
| readonly total_tokens?: number | null | undefined; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly prompt_cache_hit_tokens?: number | null | undefined; | ||
| readonly prompt_tokens_details?: { | ||
| readonly [x: string]: unknown; | ||
| readonly cached_tokens?: number | null | undefined; | ||
| readonly cache_write_tokens?: number | null | undefined; | ||
| } | null | undefined; | ||
| readonly completion_tokens_details?: { | ||
| readonly [x: string]: unknown; | ||
| readonly reasoning_tokens?: number | null | undefined; | ||
| readonly accepted_prediction_tokens?: number | null | undefined; | ||
| readonly rejected_prediction_tokens?: number | null | undefined; | ||
| } | null | undefined; | ||
| } | null | undefined; | ||
| readonly finish_reason?: string | null | undefined; | ||
@@ -325,0 +347,0 @@ readonly native_finish_reason?: string | null | undefined; |
+11
-11
@@ -117,5 +117,5 @@ import { type ProviderAuthOption } from "../route/auth-options.js"; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/xai-images.js").XAIImageOptions>; | ||
@@ -126,11 +126,11 @@ configure: (input?: LanguageModelOptions) => /*elided*/ any; | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/xai-images.js").XAIImageOptions>; | ||
| configure: (input?: LanguageModelOptions) => { | ||
| id: string & import("effect/Brand").Brand<"AI.ProviderID">; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| model: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/xai-images.js").XAIImageOptions>; | ||
@@ -141,4 +141,4 @@ configure: /*elided*/ any; | ||
| export declare const model: ProviderPackage.Definition<Settings, XAIProviderOptionsInput>["model"]; | ||
| export declare const responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<import("./open-responses-options.js").OpenResponsesOptionsInput>; | ||
| export declare const responses: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| export declare const chat: (modelID: string | ModelID) => import("../schema/options.js").LanguageModel<OpenAIOptionsInput>; | ||
| export declare const image: (modelID: string | ModelID) => import("../image.js").ImageModel<import("../protocols/xai-images.js").XAIImageOptions>; |
+5
-5
| { | ||
| "$schema": "https://json.schemastore.org/package.json", | ||
| "version": "0.0.0-beta-17963", | ||
| "version": "0.0.0-beta-18027", | ||
| "name": "@opencode-ai/ai", | ||
@@ -32,4 +32,4 @@ "type": "module", | ||
| "@clack/prompts": "1.0.0-alpha.1", | ||
| "@effect/platform-node": "4.0.0-rc.110", | ||
| "@opencode-ai/http-recorder": "0.0.0-beta-17963", | ||
| "@effect/platform-node": "4.0.0-rc.111", | ||
| "@opencode-ai/http-recorder": "0.0.0-beta-18027", | ||
| "@tsconfig/bun": "1.0.9", | ||
@@ -43,7 +43,7 @@ "@types/bun": "1.3.13", | ||
| "@smithy/util-utf8": "4.2.2", | ||
| "@opencode-ai/schema": "0.0.0-beta-17963", | ||
| "@opencode-ai/schema": "0.0.0-beta-18027", | ||
| "aws4fetch": "1.0.20", | ||
| "effect": "4.0.0-rc.110", | ||
| "effect": "4.0.0-rc.111", | ||
| "google-auth-library": "10.5.0" | ||
| } | ||
| } |
New alerts
URL strings
Supply chain riskPackage contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.
Fixed alerts
URL strings
Supply chain riskPackage contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.
Improved metrics
- Total package byte prevSize
1200254
0.67%- Lines of code
27576
0.49%Dependency changes
+ Added
@opencode-ai/schema@0.0.0-beta-18027(transitive)+ Added
effect@4.0.0-rc.111(transitive)- Removed
@opencode-ai/schema@0.0.0-beta-17963(transitive)- Removed
effect@4.0.0-rc.110(transitive)Updated
effect@4.0.0-rc.111