@openrouter/ai-sdk-provider/dist/internal/index.mjs.map

The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language model on the OpenRouter chat and completion APIs.

{"version":3,"sources":["../../src/schemas/reasoning-details.ts","../../src/openrouter-chat-language-model.ts","../../src/convert-to-openrouter-chat-messages.ts","../../src/map-openrouter-chat-logprobs.ts","../../src/map-openrouter-finish-reason.ts","../../src/openrouter-error.ts","../../src/openrouter-completion-language-model.ts","../../src/convert-to-openrouter-completion-prompt.ts","../../src/map-openrouter-completion-logprobs.ts"],"sourcesContent":["import { z } from 'zod';\n\nexport enum ReasoningDetailType {\n  Summary = 'reasoning.summary',\n  Encrypted = 'reasoning.encrypted',\n  Text = 'reasoning.text',\n}\n\nexport const ReasoningDetailSummarySchema = z.object({\n  type: z.literal(ReasoningDetailType.Summary),\n  summary: z.string(),\n});\nexport type ReasoningDetailSummary = z.infer<\n  typeof ReasoningDetailSummarySchema\n>;\n\nexport const ReasoningDetailEncryptedSchema = z.object({\n  type: z.literal(ReasoningDetailType.Encrypted),\n  data: z.string(),\n});\nexport type ReasoningDetailEncrypted = z.infer<\n  typeof ReasoningDetailEncryptedSchema\n>;\n\nexport const ReasoningDetailTextSchema = z.object({\n  type: z.literal(ReasoningDetailType.Text),\n  text: z.string().nullish(),\n  signature: z.string().nullish(),\n});\n\nexport type ReasoningDetailText = z.infer<typeof ReasoningDetailTextSchema>;\n\nexport const ReasoningDetailUnionSchema = z.union([\n  ReasoningDetailSummarySchema,\n  ReasoningDetailEncryptedSchema,\n  ReasoningDetailTextSchema,\n]);\n\nconst ReasoningDetailsWithUnknownSchema = z.union([\n  ReasoningDetailUnionSchema,\n  z.unknown().transform(() => null),\n]);\n\nexport type ReasoningDetailUnion = z.infer<typeof ReasoningDetailUnionSchema>;\n\nexport const ReasoningDetailArraySchema = z\n  .array(ReasoningDetailsWithUnknownSchema)\n  .transform((d) => d.filter((d): d is ReasoningDetailUnion => !!d));\n","import type { ReasoningDetailUnion } from '@/src/schemas/reasoning-details';\nimport type { OpenRouterUsageAccounting } from '@/src/types/index';\nimport type {\n  LanguageModelV1,\n  LanguageModelV1FinishReason,\n  LanguageModelV1FunctionTool,\n  LanguageModelV1LogProbs,\n  LanguageModelV1ProviderDefinedTool,\n  LanguageModelV1StreamPart,\n} from '@ai-sdk/provider';\nimport type { ParseResult } from '@ai-sdk/provider-utils';\nimport type {\n  OpenRouterChatModelId,\n  OpenRouterChatSettings,\n} from './types/openrouter-chat-settings';\n\nimport {\n  ReasoningDetailArraySchema,\n  ReasoningDetailType,\n} from '@/src/schemas/reasoning-details';\nimport {\n  InvalidResponseDataError,\n  UnsupportedFunctionalityError,\n} from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  generateId,\n  isParsableJson,\n  postJsonToApi,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod';\n\nimport { convertToOpenRouterChatMessages } from './convert-to-openrouter-chat-messages';\nimport { mapOpenRouterChatLogProbsOutput } from './map-openrouter-chat-logprobs';\nimport { mapOpenRouterFinishReason } from './map-openrouter-finish-reason';\nimport {\n  OpenRouterErrorResponseSchema,\n  openrouterFailedResponseHandler,\n} from './openrouter-error';\n\nfunction isFunctionTool(\n  tool: LanguageModelV1FunctionTool | LanguageModelV1ProviderDefinedTool,\n): tool is LanguageModelV1FunctionTool {\n  return 'parameters' in tool;\n}\n\ntype OpenRouterChatConfig = {\n  provider: string;\n  compatibility: 'strict' | 'compatible';\n  headers: () => Record<string, string | undefined>;\n  url: (options: { modelId: string; path: string }) => string;\n  fetch?: typeof fetch;\n  extraBody?: Record<string, unknown>;\n};\n\ntype DoGenerateOutput = Awaited<ReturnType<LanguageModelV1['doGenerate']>>;\n\ntype LanguageModelV1ReasoningPartUnion = Extract<\n  DoGenerateOutput['reasoning'],\n  unknown[]\n>[number];\n\ntype DoStreamOutput = Awaited<ReturnType<LanguageModelV1['doStream']>>;\n\nexport class OpenRouterChatLanguageModel implements LanguageModelV1 {\n  readonly specificationVersion = 'v1';\n  readonly defaultObjectGenerationMode = 'tool';\n\n  readonly modelId: OpenRouterChatModelId;\n  readonly settings: OpenRouterChatSettings;\n\n  private readonly config: OpenRouterChatConfig;\n\n  constructor(\n    modelId: OpenRouterChatModelId,\n    settings: OpenRouterChatSettings,\n    config: OpenRouterChatConfig,\n  ) {\n    this.modelId = modelId;\n    this.settings = settings;\n    this.config = config;\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private getArgs({\n    mode,\n    prompt,\n    maxTokens,\n    temperature,\n    topP,\n    frequencyPenalty,\n    presencePenalty,\n    seed,\n    stopSequences,\n    responseFormat,\n    topK,\n    providerMetadata,\n  }: Parameters<LanguageModelV1['doGenerate']>[0]) {\n    const type = mode.type;\n    const extraCallingBody = providerMetadata?.openrouter ?? {};\n\n    const baseArgs = {\n      // model id:\n      model: this.modelId,\n      models: this.settings.models,\n\n      // model specific settings:\n      logit_bias: this.settings.logitBias,\n      logprobs:\n        this.settings.logprobs === true ||\n        typeof this.settings.logprobs === 'number'\n          ? true\n          : undefined,\n      top_logprobs:\n        typeof this.settings.logprobs === 'number'\n          ? this.settings.logprobs\n          : typeof this.settings.logprobs === 'boolean'\n            ? this.settings.logprobs\n              ? 0\n              : undefined\n            : undefined,\n      user: this.settings.user,\n      parallel_tool_calls: this.settings.parallelToolCalls,\n\n      // standardized settings:\n      max_tokens: maxTokens,\n      temperature,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      seed,\n\n      stop: stopSequences,\n      response_format: responseFormat,\n      top_k: topK,\n\n      // messages:\n      messages: convertToOpenRouterChatMessages(prompt),\n\n      // OpenRouter specific settings:\n      include_reasoning: this.settings.includeReasoning,\n      reasoning: this.settings.reasoning,\n      usage: this.settings.usage,\n\n      // extra body:\n      ...this.config.extraBody,\n      ...this.settings.extraBody,\n      ...extraCallingBody,\n    };\n\n    switch (type) {\n      case 'regular': {\n        return { ...baseArgs, ...prepareToolsAndToolChoice(mode) };\n      }\n\n      case 'object-json': {\n        return {\n          ...baseArgs,\n          response_format: { type: 'json_object' },\n        };\n      }\n\n      case 'object-tool': {\n        return {\n          ...baseArgs,\n          tool_choice: { type: 'function', function: { name: mode.tool.name } },\n          tools: [\n            {\n              type: 'function',\n              function: {\n                name: mode.tool.name,\n                description: mode.tool.description,\n                parameters: mode.tool.parameters,\n              },\n            },\n          ],\n        };\n      }\n\n      // Handle all non-text types with a single default case\n      default: {\n        const _exhaustiveCheck: never = type;\n        throw new UnsupportedFunctionalityError({\n          functionality: `${_exhaustiveCheck} mode`,\n        });\n      }\n    }\n  }\n\n  async doGenerate(\n    options: Parameters<LanguageModelV1['doGenerate']>[0],\n  ): Promise<DoGenerateOutput> {\n    const args = this.getArgs(options);\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/chat/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: openrouterFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        OpenRouterNonStreamChatCompletionResponseSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const { messages: rawPrompt, ...rawSettings } = args;\n    const choice = response.choices[0];\n\n    if (!choice) {\n      throw new Error('No choice in response');\n    }\n\n    // Extract detailed usage information\n    const usageInfo = response.usage\n      ? {\n          promptTokens: response.usage.prompt_tokens ?? 0,\n          completionTokens: response.usage.completion_tokens ?? 0,\n        }\n      : {\n          promptTokens: 0,\n          completionTokens: 0,\n        };\n\n    // Collect provider-specific metadata\n    const providerMetadata: {\n      openrouter?: Partial<{\n        usage: OpenRouterUsageAccounting;\n      }>;\n    } = {};\n\n    // Add OpenRouter usage accounting details if available AND usage accounting was requested\n    if (response.usage && this.settings.usage?.include) {\n      providerMetadata.openrouter = {\n        usage: {\n          promptTokens: response.usage.prompt_tokens,\n          promptTokensDetails: response.usage.prompt_tokens_details\n            ? {\n                cachedTokens:\n                  response.usage.prompt_tokens_details.cached_tokens ?? 0,\n              }\n            : undefined,\n          completionTokens: response.usage.completion_tokens,\n          completionTokensDetails: response.usage.completion_tokens_details\n            ? {\n                reasoningTokens:\n                  response.usage.completion_tokens_details.reasoning_tokens ??\n                  0,\n              }\n            : undefined,\n          cost: response.usage.cost,\n          totalTokens: response.usage.total_tokens ?? 0,\n        },\n      };\n    }\n\n    // Prepare the final result\n    const hasProviderMetadata = Object.keys(providerMetadata).length > 0;\n\n    const reasoningDetails = (choice.message.reasoning_details ??\n      []) as ReasoningDetailUnion[];\n\n    const reasoning: LanguageModelV1ReasoningPartUnion[] =\n      reasoningDetails.length > 0\n        ? reasoningDetails\n            .map((detail) => {\n              switch (detail.type) {\n                case ReasoningDetailType.Text: {\n                  if (detail.text) {\n                    return {\n                      type: 'text' as const,\n                      text: detail.text,\n                      signature: detail.signature ?? undefined,\n                    } satisfies LanguageModelV1ReasoningPartUnion;\n                  }\n                  break;\n                }\n                case ReasoningDetailType.Summary: {\n                  if (detail.summary) {\n                    return {\n                      type: 'text' as const,\n                      text: detail.summary,\n                    } satisfies LanguageModelV1ReasoningPartUnion;\n                  }\n                  break;\n                }\n                case ReasoningDetailType.Encrypted: {\n                  if (detail.data) {\n                    return {\n                      type: 'redacted' as const,\n                      data: detail.data,\n                    } satisfies LanguageModelV1ReasoningPartUnion;\n                  }\n                  break;\n                }\n                default: {\n                  detail satisfies never;\n                }\n              }\n              return null;\n            })\n            .filter((p) => p !== null)\n        : choice.message.reasoning\n          ? [\n              {\n                type: 'text' as const,\n                text: choice.message.reasoning,\n              } satisfies LanguageModelV1ReasoningPartUnion,\n            ]\n          : [];\n\n    return {\n      response: {\n        id: response.id,\n        modelId: response.model,\n      },\n      text: choice.message.content ?? undefined,\n      reasoning,\n      toolCalls: choice.message.tool_calls?.map((toolCall) => ({\n        toolCallType: 'function',\n        toolCallId: toolCall.id ?? generateId(),\n        toolName: toolCall.function.name,\n        args: toolCall.function.arguments,\n      })),\n      finishReason: mapOpenRouterFinishReason(choice.finish_reason),\n      usage: usageInfo,\n      rawCall: { rawPrompt, rawSettings },\n      rawResponse: { headers: responseHeaders },\n      warnings: [],\n      logprobs: mapOpenRouterChatLogProbsOutput(choice.logprobs),\n      ...(hasProviderMetadata ? { providerMetadata } : {}),\n    };\n  }\n\n  async doStream(\n    options: Parameters<LanguageModelV1['doStream']>[0],\n  ): Promise<DoStreamOutput> {\n    const args = this.getArgs(options);\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/chat/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: {\n        ...args,\n        stream: true,\n\n        // only include stream_options when in strict compatibility mode:\n        stream_options:\n          this.config.compatibility === 'strict'\n            ? {\n                include_usage: true,\n                // If user has requested usage accounting, make sure we get it in the stream\n                ...(this.settings.usage?.include\n                  ? { include_usage: true }\n                  : {}),\n              }\n            : undefined,\n      },\n      failedResponseHandler: openrouterFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        OpenRouterStreamChatCompletionChunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const { messages: rawPrompt, ...rawSettings } = args;\n\n    const toolCalls: Array<{\n      id: string;\n      type: 'function';\n      function: {\n        name: string;\n        arguments: string;\n      };\n\n      sent: boolean;\n    }> = [];\n\n    let finishReason: LanguageModelV1FinishReason = 'other';\n    let usage: { promptTokens: number; completionTokens: number } = {\n      promptTokens: Number.NaN,\n      completionTokens: Number.NaN,\n    };\n    let logprobs: LanguageModelV1LogProbs;\n\n    // Track provider-specific usage information\n    const openrouterUsage: Partial<OpenRouterUsageAccounting> = {};\n\n    // Store usage accounting setting for reference in the transformer\n    const shouldIncludeUsageAccounting = !!this.settings.usage?.include;\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<\n            z.infer<typeof OpenRouterStreamChatCompletionChunkSchema>\n          >,\n          LanguageModelV1StreamPart\n        >({\n          transform(chunk, controller) {\n            // handle failed chunk parsing / validation:\n            if (!chunk.success) {\n              finishReason = 'error';\n              controller.enqueue({ type: 'error', error: chunk.error });\n              return;\n            }\n\n            const value = chunk.value;\n\n            // handle error chunks:\n            if ('error' in value) {\n              finishReason = 'error';\n              controller.enqueue({ type: 'error', error: value.error });\n              return;\n            }\n\n            if (value.id) {\n              controller.enqueue({\n                type: 'response-metadata',\n                id: value.id,\n              });\n            }\n\n            if (value.model) {\n              controller.enqueue({\n                type: 'response-metadata',\n                modelId: value.model,\n              });\n            }\n\n            if (value.usage != null) {\n              usage = {\n                promptTokens: value.usage.prompt_tokens,\n                completionTokens: value.usage.completion_tokens,\n              };\n\n              // Collect OpenRouter specific usage information\n              openrouterUsage.promptTokens = value.usage.prompt_tokens;\n              if (value.usage.prompt_tokens_details) {\n                openrouterUsage.promptTokensDetails = {\n                  cachedTokens:\n                    value.usage.prompt_tokens_details.cached_tokens ?? 0,\n                };\n              }\n\n              openrouterUsage.completionTokens = value.usage.completion_tokens;\n              if (value.usage.completion_tokens_details) {\n                openrouterUsage.completionTokensDetails = {\n                  reasoningTokens:\n                    value.usage.completion_tokens_details.reasoning_tokens ?? 0,\n                };\n              }\n\n              openrouterUsage.cost = value.usage.cost;\n              openrouterUsage.totalTokens = value.usage.total_tokens;\n            }\n\n            const choice = value.choices[0];\n\n            if (choice?.finish_reason != null) {\n              finishReason = mapOpenRouterFinishReason(choice.finish_reason);\n            }\n\n            if (choice?.delta == null) {\n              return;\n            }\n\n            const delta = choice.delta;\n\n            if (delta.content != null) {\n              controller.enqueue({\n                type: 'text-delta',\n                textDelta: delta.content,\n              });\n            }\n\n            if (delta.reasoning != null) {\n              controller.enqueue({\n                type: 'reasoning',\n                textDelta: delta.reasoning,\n              });\n            }\n\n            if (delta.reasoning_details && delta.reasoning_details.length > 0) {\n              for (const detail of delta.reasoning_details) {\n                switch (detail.type) {\n                  case ReasoningDetailType.Text: {\n                    if (detail.text) {\n                      controller.enqueue({\n                        type: 'reasoning',\n                        textDelta: detail.text,\n                      });\n                    }\n                    if (detail.signature) {\n                      controller.enqueue({\n                        type: 'reasoning-signature',\n                        signature: detail.signature,\n                      });\n                    }\n                    break;\n                  }\n                  case ReasoningDetailType.Encrypted: {\n                    if (detail.data) {\n                      controller.enqueue({\n                        type: 'redacted-reasoning',\n                        data: detail.data,\n                      });\n                    }\n                    break;\n                  }\n                  case ReasoningDetailType.Summary: {\n                    if (detail.summary) {\n                      controller.enqueue({\n                        type: 'reasoning',\n                        textDelta: detail.summary,\n                      });\n                    }\n                    break;\n                  }\n                  default: {\n                    detail satisfies never;\n                    break;\n                  }\n                }\n              }\n            }\n            const mappedLogprobs = mapOpenRouterChatLogProbsOutput(\n              choice?.logprobs,\n            );\n            if (mappedLogprobs?.length) {\n              if (logprobs === undefined) {\n                logprobs = [];\n              }\n              logprobs.push(...mappedLogprobs);\n            }\n\n            if (delta.tool_calls != null) {\n              for (const toolCallDelta of delta.tool_calls) {\n                const index = toolCallDelta.index;\n\n                // Tool call start. OpenRouter returns all information except the arguments in the first chunk.\n                if (toolCalls[index] == null) {\n                  if (toolCallDelta.type !== 'function') {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function' type.`,\n                    });\n                  }\n\n                  if (toolCallDelta.id == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'id' to be a string.`,\n                    });\n                  }\n\n                  if (toolCallDelta.function?.name == null) {\n                    throw new InvalidResponseDataError({\n                      data: toolCallDelta,\n                      message: `Expected 'function.name' to be a string.`,\n                    });\n                  }\n\n                  toolCalls[index] = {\n                    id: toolCallDelta.id,\n                    type: 'function',\n                    function: {\n                      name: toolCallDelta.function.name,\n                      arguments: toolCallDelta.function.arguments ?? '',\n                    },\n                    sent: false,\n                  };\n\n                  const toolCall = toolCalls[index];\n\n                  if (toolCall == null) {\n                    throw new Error('Tool call is missing');\n                  }\n\n                  // check if tool call is complete (some providers send the full tool call in one chunk)\n                  if (\n                    toolCall.function?.name != null &&\n                    toolCall.function?.arguments != null &&\n                    isParsableJson(toolCall.function.arguments)\n                  ) {\n                    // send delta\n                    controller.enqueue({\n                      type: 'tool-call-delta',\n                      toolCallType: 'function',\n                      toolCallId: toolCall.id,\n                      toolName: toolCall.function.name,\n                      argsTextDelta: toolCall.function.arguments,\n                    });\n\n                    // send tool call\n                    controller.enqueue({\n                      type: 'tool-call',\n                      toolCallType: 'function',\n                      toolCallId: toolCall.id ?? generateId(),\n                      toolName: toolCall.function.name,\n                      args: toolCall.function.arguments,\n                    });\n\n                    toolCall.sent = true;\n                  }\n\n                  continue;\n                }\n\n                // existing tool call, merge\n                const toolCall = toolCalls[index];\n\n                if (toolCall == null) {\n                  throw new Error('Tool call is missing');\n                }\n\n                if (toolCallDelta.function?.arguments != null) {\n                  toolCall.function.arguments +=\n                    toolCallDelta.function?.arguments ?? '';\n                }\n\n                // send delta\n                controller.enqueue({\n                  type: 'tool-call-delta',\n                  toolCallType: 'function',\n                  toolCallId: toolCall.id,\n                  toolName: toolCall.function.name,\n                  argsTextDelta: toolCallDelta.function.arguments ?? '',\n                });\n\n                // check if tool call is complete\n                if (\n                  toolCall.function?.name != null &&\n                  toolCall.function?.arguments != null &&\n                  isParsableJson(toolCall.function.arguments)\n                ) {\n                  controller.enqueue({\n                    type: 'tool-call',\n                    toolCallType: 'function',\n                    toolCallId: toolCall.id ?? generateId(),\n                    toolName: toolCall.function.name,\n                    args: toolCall.function.arguments,\n                  });\n\n                  toolCall.sent = true;\n                }\n              }\n            }\n          },\n\n          flush(controller) {\n            // Forward any unsent tool calls if finish reason is 'tool-calls'\n            if (finishReason === 'tool-calls') {\n              for (const toolCall of toolCalls) {\n                if (!toolCall.sent) {\n                  controller.enqueue({\n                    type: 'tool-call',\n                    toolCallType: 'function',\n                    toolCallId: toolCall.id ?? generateId(),\n                    toolName: toolCall.function.name,\n                    // Coerce invalid arguments to an empty JSON object\n                    args: isParsableJson(toolCall.function.arguments)\n                      ? toolCall.function.arguments\n                      : '{}',\n                  });\n                  toolCall.sent = true;\n                }\n              }\n            }\n\n            // Prepare provider metadata with OpenRouter usage accounting information\n            const providerMetadata: {\n              openrouter?: {\n                usage: Partial<OpenRouterUsageAccounting>;\n              };\n            } = {};\n\n            // Only add OpenRouter metadata if we have usage information AND usage accounting was requested\n            if (\n              shouldIncludeUsageAccounting &&\n              (openrouterUsage.totalTokens !== undefined ||\n                openrouterUsage.cost !== undefined ||\n                openrouterUsage.promptTokensDetails !== undefined ||\n                openrouterUsage.completionTokensDetails !== undefined)\n            ) {\n              providerMetadata.openrouter = {\n                usage: openrouterUsage,\n              };\n            }\n\n            // Only add providerMetadata if we have OpenRouter metadata and it is explicitly requested\n            // This is to maintain backward compatibility with existing tests and clients\n            const hasProviderMetadata =\n              Object.keys(providerMetadata).length > 0 &&\n              shouldIncludeUsageAccounting;\n\n            controller.enqueue({\n              type: 'finish',\n              finishReason,\n              logprobs,\n              usage,\n              ...(hasProviderMetadata ? { providerMetadata } : {}),\n            });\n          },\n        }),\n      ),\n      rawCall: { rawPrompt, rawSettings },\n      rawResponse: { headers: responseHeaders },\n      warnings: [],\n    };\n  }\n}\n\nconst OpenRouterChatCompletionBaseResponseSchema = z.object({\n  id: z.string().optional(),\n  model: z.string().optional(),\n  usage: z\n    .object({\n      prompt_tokens: z.number(),\n      prompt_tokens_details: z\n        .object({\n          cached_tokens: z.number(),\n        })\n        .nullish(),\n      completion_tokens: z.number(),\n      completion_tokens_details: z\n        .object({\n          reasoning_tokens: z.number(),\n        })\n        .nullish(),\n      total_tokens: z.number(),\n      cost: z.number().optional(),\n    })\n    .nullish(),\n});\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst OpenRouterNonStreamChatCompletionResponseSchema =\n  OpenRouterChatCompletionBaseResponseSchema.extend({\n    choices: z.array(\n      z.object({\n        message: z.object({\n          role: z.literal('assistant'),\n          content: z.string().nullable().optional(),\n          reasoning: z.string().nullable().optional(),\n          reasoning_details: ReasoningDetailArraySchema.nullish(),\n\n          tool_calls: z\n            .array(\n              z.object({\n                id: z.string().optional().nullable(),\n                type: z.literal('function'),\n                function: z.object({\n                  name: z.string(),\n                  arguments: z.string(),\n                }),\n              }),\n            )\n            .optional(),\n        }),\n        index: z.number(),\n        logprobs: z\n          .object({\n            content: z\n              .array(\n                z.object({\n                  token: z.string(),\n                  logprob: z.number(),\n                  top_logprobs: z.array(\n                    z.object({\n                      token: z.string(),\n                      logprob: z.number(),\n                    }),\n                  ),\n                }),\n              )\n              .nullable(),\n          })\n          .nullable()\n          .optional(),\n        finish_reason: z.string().optional().nullable(),\n      }),\n    ),\n  });\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst OpenRouterStreamChatCompletionChunkSchema = z.union([\n  OpenRouterChatCompletionBaseResponseSchema.extend({\n    choices: z.array(\n      z.object({\n        delta: z\n          .object({\n            role: z.enum(['assistant']).optional(),\n            content: z.string().nullish(),\n            reasoning: z.string().nullish().optional(),\n            reasoning_details: ReasoningDetailArraySchema.nullish(),\n            tool_calls: z\n              .array(\n                z.object({\n                  index: z.number(),\n                  id: z.string().nullish(),\n                  type: z.literal('function').optional(),\n                  function: z.object({\n                    name: z.string().nullish(),\n                    arguments: z.string().nullish(),\n                  }),\n                }),\n              )\n              .nullish(),\n          })\n          .nullish(),\n        logprobs: z\n          .object({\n            content: z\n              .array(\n                z.object({\n                  token: z.string(),\n                  logprob: z.number(),\n                  top_logprobs: z.array(\n                    z.object({\n                      token: z.string(),\n                      logprob: z.number(),\n                    }),\n                  ),\n                }),\n              )\n              .nullable(),\n          })\n          .nullish(),\n        finish_reason: z.string().nullable().optional(),\n        index: z.number(),\n      }),\n    ),\n  }),\n  OpenRouterErrorResponseSchema,\n]);\n\nfunction prepareToolsAndToolChoice(\n  mode: Parameters<LanguageModelV1['doGenerate']>[0]['mode'] & {\n    type: 'regular';\n  },\n) {\n  // when the tools array is empty, change it to undefined to prevent errors:\n  const tools = mode.tools?.length ? mode.tools : undefined;\n\n  if (tools == null) {\n    return { tools: undefined, tool_choice: undefined };\n  }\n\n  const mappedTools = tools.map((tool) => {\n    if (isFunctionTool(tool)) {\n      return {\n        type: 'function' as const,\n        function: {\n          name: tool.name,\n          description: tool.description,\n          parameters: tool.parameters,\n        },\n      };\n    }\n\n    return {\n      type: 'function' as const,\n      function: {\n        name: tool.name,\n      },\n    };\n  });\n\n  const toolChoice = mode.toolChoice;\n\n  if (toolChoice == null) {\n    return { tools: mappedTools, tool_choice: undefined };\n  }\n\n  const type = toolChoice.type;\n\n  switch (type) {\n    case 'auto':\n    case 'none':\n    case 'required':\n      return { tools: mappedTools, tool_choice: type };\n    case 'tool':\n      return {\n        tools: mappedTools,\n        tool_choice: {\n          type: 'function',\n          function: {\n            name: toolChoice.toolName,\n          },\n        },\n      };\n    default: {\n      const _exhaustiveCheck: never = type;\n      throw new Error(`Unsupported tool choice type: ${_exhaustiveCheck}`);\n    }\n  }\n}\n","import type { ReasoningDetailUnion } from '@/src/schemas/reasoning-details';\nimport type {\n  LanguageModelV1Prompt,\n  LanguageModelV1ProviderMetadata,\n} from '@ai-sdk/provider';\nimport type {\n  ChatCompletionContentPart,\n  OpenRouterChatCompletionsInput,\n} from './types/openrouter-chat-completions-input';\n\nimport { ReasoningDetailType } from '@/src/schemas/reasoning-details';\nimport { convertUint8ArrayToBase64 } from '@ai-sdk/provider-utils';\n\n// Type for OpenRouter Cache Control following Anthropic's pattern\nexport type OpenRouterCacheControl = { type: 'ephemeral' };\n\nfunction getCacheControl(\n  providerMetadata: LanguageModelV1ProviderMetadata | undefined,\n): OpenRouterCacheControl | undefined {\n  const anthropic = providerMetadata?.anthropic;\n  const openrouter = providerMetadata?.openrouter;\n\n  // Allow both cacheControl and cache_control:\n  return (openrouter?.cacheControl ??\n    openrouter?.cache_control ??\n    anthropic?.cacheControl ??\n    anthropic?.cache_control) as OpenRouterCacheControl | undefined;\n}\n\nexport function convertToOpenRouterChatMessages(\n  prompt: LanguageModelV1Prompt,\n): OpenRouterChatCompletionsInput {\n  const messages: OpenRouterChatCompletionsInput = [];\n  for (const { role, content, providerMetadata } of prompt) {\n    switch (role) {\n      case 'system': {\n        messages.push({\n          role: 'system',\n          content,\n          cache_control: getCacheControl(providerMetadata),\n        });\n        break;\n      }\n\n      case 'user': {\n        if (content.length === 1 && content[0]?.type === 'text') {\n          messages.push({\n            role: 'user',\n            content: content[0].text,\n            cache_control:\n              getCacheControl(providerMetadata) ??\n              getCacheControl(content[0].providerMetadata),\n          });\n          break;\n        }\n\n        // Get message level cache control\n        const messageCacheControl = getCacheControl(providerMetadata);\n        const contentParts: ChatCompletionContentPart[] = content.map(\n          (part) => {\n            const cacheControl =\n              getCacheControl(part.providerMetadata) ?? messageCacheControl;\n\n            switch (part.type) {\n              case 'text':\n                return {\n                  type: 'text' as const,\n                  text: part.text,\n                  // For text parts, only use part-specific cache control\n                  cache_control: cacheControl,\n                };\n              case 'image':\n                return {\n                  type: 'image_url' as const,\n                  image_url: {\n                    url:\n                      part.image instanceof URL\n                        ? part.image.toString()\n                        : `data:${part.mimeType ?? 'image/jpeg'};base64,${convertUint8ArrayToBase64(\n                            part.image,\n                          )}`,\n                  },\n                  // For image parts, use part-specific or message-level cache control\n                  cache_control: cacheControl,\n                };\n              case 'file':\n                return {\n                  type: 'file' as const,\n                  file: {\n                    filename: String(\n                      part.providerMetadata?.openrouter?.filename,\n                    ),\n                    file_data:\n                      part.data instanceof Uint8Array\n                        ? `data:${part.mimeType};base64,${convertUint8ArrayToBase64(part.data)}`\n                        : `data:${part.mimeType};base64,${part.data}`,\n                  },\n                  cache_control: cacheControl,\n                };\n              default: {\n                const _exhaustiveCheck: never = part;\n                throw new Error(\n                  `Unsupported content part type: ${_exhaustiveCheck}`,\n                );\n              }\n            }\n          },\n        );\n\n        // For multi-part messages, don't add cache_control at the root level\n        messages.push({\n          role: 'user',\n          content: contentParts,\n        });\n\n        break;\n      }\n\n      case 'assistant': {\n        let text = '';\n        let reasoning = '';\n        const reasoningDetails: ReasoningDetailUnion[] = [];\n        const toolCalls: Array<{\n          id: string;\n          type: 'function';\n          function: { name: string; arguments: string };\n        }> = [];\n\n        for (const part of content) {\n          switch (part.type) {\n            case 'text': {\n              text += part.text;\n              break;\n            }\n            case 'tool-call': {\n              toolCalls.push({\n                id: part.toolCallId,\n                type: 'function',\n                function: {\n                  name: part.toolName,\n                  arguments: JSON.stringify(part.args),\n                },\n              });\n              break;\n            }\n            case 'reasoning': {\n              reasoning += part.text;\n              reasoningDetails.push({\n                type: ReasoningDetailType.Text,\n                text: part.text,\n                signature: part.signature,\n              });\n\n              break;\n            }\n            case 'redacted-reasoning': {\n              reasoningDetails.push({\n                type: ReasoningDetailType.Encrypted,\n                data: part.data,\n              });\n              break;\n            }\n            case 'file':\n              break;\n            default: {\n              const _exhaustiveCheck: never = part;\n              throw new Error(`Unsupported part: ${_exhaustiveCheck}`);\n            }\n          }\n        }\n\n        messages.push({\n          role: 'assistant',\n          content: text,\n          tool_calls: toolCalls.length > 0 ? toolCalls : undefined,\n          reasoning: reasoning || undefined,\n          reasoning_details:\n            reasoningDetails.length > 0 ? reasoningDetails : undefined,\n          cache_control: getCacheControl(providerMetadata),\n        });\n\n        break;\n      }\n\n      case 'tool': {\n        for (const toolResponse of content) {\n          messages.push({\n            role: 'tool',\n            tool_call_id: toolResponse.toolCallId,\n            content: JSON.stringify(toolResponse.result),\n            cache_control:\n              getCacheControl(providerMetadata) ??\n              getCacheControl(toolResponse.providerMetadata),\n          });\n        }\n        break;\n      }\n\n      default: {\n        const _exhaustiveCheck: never = role;\n        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);\n      }\n    }\n  }\n\n  return messages;\n}\n","import type { LanguageModelV1LogProbs } from '@ai-sdk/provider';\n\ntype OpenRouterChatLogProbs = {\n  content:\n    | {\n        token: string;\n        logprob: number;\n        top_logprobs:\n          | {\n              token: string;\n              logprob: number;\n            }[]\n          | null;\n      }[]\n    | null;\n};\n\nexport function mapOpenRouterChatLogProbsOutput(\n  logprobs: OpenRouterChatLogProbs | null | undefined,\n): LanguageModelV1LogProbs | undefined {\n  return (\n    logprobs?.content?.map(({ token, logprob, top_logprobs }) => ({\n      token,\n      logprob,\n      topLogprobs: top_logprobs\n        ? top_logprobs.map(({ token, logprob }) => ({\n            token,\n            logprob,\n          }))\n        : [],\n    })) ?? undefined\n  );\n}\n","import type { LanguageModelV1FinishReason } from '@ai-sdk/provider';\n\nexport function mapOpenRouterFinishReason(\n  finishReason: string | null | undefined,\n): LanguageModelV1FinishReason {\n  switch (finishReason) {\n    case 'stop':\n      return 'stop';\n    case 'length':\n      return 'length';\n    case 'content_filter':\n      return 'content-filter';\n    case 'function_call':\n    case 'tool_calls':\n      return 'tool-calls';\n    default:\n      return 'unknown';\n  }\n}\n","import { createJsonErrorResponseHandler } from '@ai-sdk/provider-utils';\nimport { z } from 'zod';\n\nexport const OpenRouterErrorResponseSchema = z.object({\n  error: z.object({\n    code: z.union([z.string(), z.number()]).nullable(),\n    message: z.string(),\n    type: z.string().nullable(),\n    param: z.any().nullable(),\n  }),\n});\n\nexport type OpenRouterErrorData = z.infer<typeof OpenRouterErrorResponseSchema>;\n\nexport const openrouterFailedResponseHandler = createJsonErrorResponseHandler({\n  errorSchema: OpenRouterErrorResponseSchema,\n  errorToMessage: (data) => data.error.message,\n});\n","import type {\n  LanguageModelV1,\n  LanguageModelV1FinishReason,\n  LanguageModelV1LogProbs,\n  LanguageModelV1StreamPart,\n} from '@ai-sdk/provider';\nimport type { ParseResult } from '@ai-sdk/provider-utils';\nimport type {\n  OpenRouterCompletionModelId,\n  OpenRouterCompletionSettings,\n} from './openrouter-completion-settings';\n\nimport { ReasoningDetailArraySchema } from '@/src/schemas/reasoning-details';\nimport { UnsupportedFunctionalityError } from '@ai-sdk/provider';\nimport {\n  combineHeaders,\n  createEventSourceResponseHandler,\n  createJsonResponseHandler,\n  postJsonToApi,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod';\n\nimport { convertToOpenRouterCompletionPrompt } from './convert-to-openrouter-completion-prompt';\nimport { mapOpenRouterCompletionLogProbs } from './map-openrouter-completion-logprobs';\nimport { mapOpenRouterFinishReason } from './map-openrouter-finish-reason';\nimport {\n  OpenRouterErrorResponseSchema,\n  openrouterFailedResponseHandler,\n} from './openrouter-error';\n\ntype OpenRouterCompletionConfig = {\n  provider: string;\n  compatibility: 'strict' | 'compatible';\n  headers: () => Record<string, string | undefined>;\n  url: (options: { modelId: string; path: string }) => string;\n  fetch?: typeof fetch;\n  extraBody?: Record<string, unknown>;\n};\n\nexport class OpenRouterCompletionLanguageModel implements LanguageModelV1 {\n  readonly specificationVersion = 'v1';\n  readonly defaultObjectGenerationMode = undefined;\n\n  readonly modelId: OpenRouterCompletionModelId;\n  readonly settings: OpenRouterCompletionSettings;\n\n  private readonly config: OpenRouterCompletionConfig;\n\n  constructor(\n    modelId: OpenRouterCompletionModelId,\n    settings: OpenRouterCompletionSettings,\n    config: OpenRouterCompletionConfig,\n  ) {\n    this.modelId = modelId;\n    this.settings = settings;\n    this.config = config;\n  }\n\n  get provider(): string {\n    return this.config.provider;\n  }\n\n  private getArgs({\n    mode,\n    inputFormat,\n    prompt,\n    maxTokens,\n    temperature,\n    topP,\n    frequencyPenalty,\n    presencePenalty,\n    seed,\n    responseFormat,\n    topK,\n    stopSequences,\n    providerMetadata,\n  }: Parameters<LanguageModelV1['doGenerate']>[0]) {\n    const type = mode.type;\n\n    const extraCallingBody = providerMetadata?.openrouter ?? {};\n\n    const { prompt: completionPrompt } = convertToOpenRouterCompletionPrompt({\n      prompt,\n      inputFormat,\n    });\n\n    const baseArgs = {\n      // model id:\n      model: this.modelId,\n      models: this.settings.models,\n\n      // model specific settings:\n      logit_bias: this.settings.logitBias,\n      logprobs:\n        typeof this.settings.logprobs === 'number'\n          ? this.settings.logprobs\n          : typeof this.settings.logprobs === 'boolean'\n            ? this.settings.logprobs\n              ? 0\n              : undefined\n            : undefined,\n      suffix: this.settings.suffix,\n      user: this.settings.user,\n\n      // standardized settings:\n      max_tokens: maxTokens,\n      temperature,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      seed,\n\n      stop: stopSequences,\n      response_format: responseFormat,\n      top_k: topK,\n\n      // prompt:\n      prompt: completionPrompt,\n\n      // OpenRouter specific settings:\n      include_reasoning: this.settings.includeReasoning,\n      reasoning: this.settings.reasoning,\n\n      // extra body:\n      ...this.config.extraBody,\n      ...this.settings.extraBody,\n      ...extraCallingBody,\n    };\n\n    switch (type) {\n      case 'regular': {\n        if (mode.tools?.length) {\n          throw new UnsupportedFunctionalityError({\n            functionality: 'tools',\n          });\n        }\n\n        if (mode.toolChoice) {\n          throw new UnsupportedFunctionalityError({\n            functionality: 'toolChoice',\n          });\n        }\n\n        return baseArgs;\n      }\n\n      case 'object-json': {\n        throw new UnsupportedFunctionalityError({\n          functionality: 'object-json mode',\n        });\n      }\n\n      case 'object-tool': {\n        throw new UnsupportedFunctionalityError({\n          functionality: 'object-tool mode',\n        });\n      }\n\n      // Handle all non-text types with a single default case\n      default: {\n        const _exhaustiveCheck: never = type;\n        throw new UnsupportedFunctionalityError({\n          functionality: `${_exhaustiveCheck} mode`,\n        });\n      }\n    }\n  }\n\n  async doGenerate(\n    options: Parameters<LanguageModelV1['doGenerate']>[0],\n  ): Promise<Awaited<ReturnType<LanguageModelV1['doGenerate']>>> {\n    const args = this.getArgs(options);\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: args,\n      failedResponseHandler: openrouterFailedResponseHandler,\n      successfulResponseHandler: createJsonResponseHandler(\n        OpenRouterCompletionChunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const { prompt: rawPrompt, ...rawSettings } = args;\n    if ('error' in response) {\n      throw new Error(`${response.error.message}`);\n    }\n\n    const choice = response.choices[0];\n\n    if (!choice) {\n      throw new Error('No choice in OpenRouter completion response');\n    }\n\n    return {\n      response: {\n        id: response.id,\n        modelId: response.model,\n      },\n      text: choice.text ?? '',\n      reasoning: choice.reasoning || undefined,\n      usage: {\n        promptTokens: response.usage?.prompt_tokens ?? 0,\n        completionTokens: response.usage?.completion_tokens ?? 0,\n      },\n      finishReason: mapOpenRouterFinishReason(choice.finish_reason),\n      logprobs: mapOpenRouterCompletionLogProbs(choice.logprobs),\n      rawCall: { rawPrompt, rawSettings },\n      rawResponse: { headers: responseHeaders },\n      warnings: [],\n    };\n  }\n\n  async doStream(\n    options: Parameters<LanguageModelV1['doStream']>[0],\n  ): Promise<Awaited<ReturnType<LanguageModelV1['doStream']>>> {\n    const args = this.getArgs(options);\n\n    const { responseHeaders, value: response } = await postJsonToApi({\n      url: this.config.url({\n        path: '/completions',\n        modelId: this.modelId,\n      }),\n      headers: combineHeaders(this.config.headers(), options.headers),\n      body: {\n        ...this.getArgs(options),\n        stream: true,\n\n        // only include stream_options when in strict compatibility mode:\n        stream_options:\n          this.config.compatibility === 'strict'\n            ? { include_usage: true }\n            : undefined,\n      },\n      failedResponseHandler: openrouterFailedResponseHandler,\n      successfulResponseHandler: createEventSourceResponseHandler(\n        OpenRouterCompletionChunkSchema,\n      ),\n      abortSignal: options.abortSignal,\n      fetch: this.config.fetch,\n    });\n\n    const { prompt: rawPrompt, ...rawSettings } = args;\n\n    let finishReason: LanguageModelV1FinishReason = 'other';\n    let usage: { promptTokens: number; completionTokens: number } = {\n      promptTokens: Number.NaN,\n      completionTokens: Number.NaN,\n    };\n    let logprobs: LanguageModelV1LogProbs;\n\n    return {\n      stream: response.pipeThrough(\n        new TransformStream<\n          ParseResult<z.infer<typeof OpenRouterCompletionChunkSchema>>,\n          LanguageModelV1StreamPart\n        >({\n          transform(chunk, controller) {\n            // handle failed chunk parsing / validation:\n            if (!chunk.success) {\n              finishReason = 'error';\n              controller.enqueue({ type: 'error', error: chunk.error });\n              return;\n            }\n\n            const value = chunk.value;\n\n            // handle error chunks:\n            if ('error' in value) {\n              finishReason = 'error';\n              controller.enqueue({ type: 'error', error: value.error });\n              return;\n            }\n\n            if (value.usage != null) {\n              usage = {\n                promptTokens: value.usage.prompt_tokens,\n                completionTokens: value.usage.completion_tokens,\n              };\n            }\n\n            const choice = value.choices[0];\n\n            if (choice?.finish_reason != null) {\n              finishReason = mapOpenRouterFinishReason(choice.finish_reason);\n            }\n\n            if (choice?.text != null) {\n              controller.enqueue({\n                type: 'text-delta',\n                textDelta: choice.text,\n              });\n            }\n\n            const mappedLogprobs = mapOpenRouterCompletionLogProbs(\n              choice?.logprobs,\n            );\n            if (mappedLogprobs?.length) {\n              if (logprobs === undefined) {\n                logprobs = [];\n              }\n              logprobs.push(...mappedLogprobs);\n            }\n          },\n\n          flush(controller) {\n            controller.enqueue({\n              type: 'finish',\n              finishReason,\n              logprobs,\n              usage,\n            });\n          },\n        }),\n      ),\n      rawCall: { rawPrompt, rawSettings },\n      rawResponse: { headers: responseHeaders },\n      warnings: [],\n    };\n  }\n}\n\n// limited version of the schema, focussed on what is needed for the implementation\n// this approach limits breakages when the API changes and increases efficiency\nconst OpenRouterCompletionChunkSchema = z.union([\n  z.object({\n    id: z.string().optional(),\n    mod