{"version":3,"sources":["../../../src/modelgarden/legacy/mistral.ts"],"sourcesContent":["/**\n * Copyright 2024 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport { MistralGoogleCloud } from '@mistralai/mistralai-gcp';\nimport {\n ChatCompletionChoiceFinishReason,\n ToolTypes,\n type AssistantMessage,\n type ChatCompletionRequest,\n type ChatCompletionResponse,\n type CompletionChunk,\n type FunctionCall,\n type Tool as MistralTool,\n type SystemMessage,\n type ToolCall,\n type ToolMessage,\n type UserMessage,\n} from '@mistralai/mistralai-gcp/models/components';\nimport {\n GenerationCommonConfigSchema,\n z,\n type GenerateRequest,\n type Genkit,\n type MessageData,\n type ModelReference,\n type ModelResponseData,\n type Part,\n type Role,\n type ToolRequestPart,\n} from 'genkit';\nimport {\n GenerationCommonConfigDescriptions,\n modelRef,\n type ModelAction,\n} from 'genkit/model';\nimport { getGenkitClientHeader } from '../../common/index.js';\n\n/**\n * See https://docs.mistral.ai/api/#tag/chat/operation/chat_completion_v1_chat_completions_post\n * @deprecated\n */\nexport const MistralConfigSchema = GenerationCommonConfigSchema.extend({\n // TODO: Update this with all the parameters in\n // https://docs.mistral.ai/api/#tag/chat/operation/chat_completion_v1_chat_completions_post.\n location: z.string().optional(),\n topP: z\n .number()\n .describe(\n GenerationCommonConfigDescriptions.topP + ' The default value is 1.'\n )\n .optional(),\n});\n\n/**\n * @deprecated\n */\nexport const mistralLarge = modelRef({\n name: 'vertexai/mistral-large',\n info: {\n label: 'Vertex AI Model Garden - Mistral Large',\n versions: ['mistral-large-2411', 'mistral-large-2407'],\n supports: {\n multiturn: true,\n media: false,\n tools: true,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: MistralConfigSchema,\n});\n\n/**\n * @deprecated\n */\nexport const mistralNemo = modelRef({\n name: 'vertexai/mistral-nemo',\n info: {\n label: 'Vertex AI Model Garden - Mistral Nemo',\n versions: ['mistral-nemo-2407'],\n supports: {\n multiturn: true,\n media: false,\n tools: false,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: MistralConfigSchema,\n});\n\n/**\n * @deprecated\n */\nexport const codestral = modelRef({\n name: 'vertexai/codestral',\n info: {\n label: 'Vertex AI Model Garden - Codestral',\n versions: ['codestral-2405'],\n supports: {\n multiturn: true,\n media: false,\n tools: false,\n systemRole: true,\n output: ['text'],\n },\n },\n configSchema: MistralConfigSchema,\n});\n\n/**\n * @deprecated\n */\nexport const SUPPORTED_MISTRAL_MODELS: Record<\n string,\n ModelReference\n> = {\n 'mistral-large': mistralLarge,\n 'mistral-nemo': mistralNemo,\n codestral: codestral,\n};\n\n// TODO: Do they export a type for this?\ntype MistralRole = 'assistant' | 'user' | 'tool' | 'system';\n\nfunction toMistralRole(role: Role): MistralRole {\n switch (role) {\n case 'model':\n return 'assistant';\n case 'user':\n return 'user';\n case 'tool':\n return 'tool';\n case 'system':\n return 'system';\n default:\n throw new Error(`Unknwon role ${role}`);\n }\n}\nfunction toMistralToolRequest(toolRequest: Record): FunctionCall {\n if (!toolRequest.name) {\n throw new Error('Tool name is required');\n }\n\n return {\n name: toolRequest.name,\n // Mistral expects arguments as either a string or object\n arguments:\n typeof toolRequest.input === 'string'\n ? toolRequest.input\n : JSON.stringify(toolRequest.input),\n };\n}\n\n/**\n * @deprecated\n */\nexport function toMistralRequest(\n model: string,\n input: GenerateRequest\n): ChatCompletionRequest {\n const messages = input.messages.map((msg) => {\n // Handle regular text messages\n if (msg.content.every((part) => part.text)) {\n const content = msg.content.map((part) => part.text || '').join('');\n return {\n role: toMistralRole(msg.role),\n content,\n };\n }\n\n // Handle assistant's tool/function calls\n const toolRequest = msg.content.find((part) => part.toolRequest);\n if (toolRequest?.toolRequest) {\n const functionCall = toMistralToolRequest(toolRequest.toolRequest);\n return {\n role: 'assistant' as const,\n content: null,\n toolCalls: [\n {\n id: toolRequest.toolRequest.ref,\n type: ToolTypes.Function,\n function: {\n name: functionCall.name,\n arguments: functionCall.arguments,\n },\n },\n ],\n };\n }\n\n // Handle tool responses\n const toolResponse = msg.content.find((part) => part.toolResponse);\n if (toolResponse?.toolResponse) {\n return {\n role: 'tool' as const,\n name: toolResponse.toolResponse.name,\n content: JSON.stringify(toolResponse.toolResponse.output),\n toolCallId: toolResponse.toolResponse.ref, // This must match the id from tool_calls\n };\n }\n\n return {\n role: toMistralRole(msg.role),\n content: msg.content.map((part) => part.text || '').join(''),\n };\n });\n\n validateToolSequence(messages); // This line exists but might not be running?\n\n const request: ChatCompletionRequest = {\n model,\n messages,\n maxTokens: input.config?.maxOutputTokens ?? 1024,\n temperature: input.config?.temperature ?? 0.7,\n ...(input.config?.topP && { topP: input.config.topP }),\n ...(input.config?.stopSequences && { stop: input.config.stopSequences }),\n ...(input.tools && {\n tools: input.tools.map((tool) => ({\n type: 'function',\n function: {\n name: tool.name,\n description: tool.description,\n parameters: tool.inputSchema || {},\n },\n })) as MistralTool[],\n }),\n };\n\n return request;\n}\n// Helper to convert Mistral AssistantMessage content into Genkit parts\nfunction fromMistralTextPart(content: string): Part {\n return {\n text: content,\n };\n}\n\n// Helper to convert Mistral ToolCall into Genkit parts\nfunction fromMistralToolCall(toolCall: ToolCall): ToolRequestPart {\n if (!toolCall.function) {\n throw new Error('Tool call must include a function definition');\n }\n\n return {\n toolRequest: {\n ref: toolCall.id,\n name: toolCall.function.name,\n input:\n typeof toolCall.function.arguments === 'string'\n ? JSON.parse(toolCall.function.arguments)\n : toolCall.function.arguments,\n },\n };\n}\n\n// Converts Mistral AssistantMessage content into Genkit parts\nfunction fromMistralMessage(message: AssistantMessage): Part[] {\n const parts: Part[] = [];\n\n // Handle textual content\n if (typeof message.content === 'string') {\n parts.push(fromMistralTextPart(message.content));\n } else if (Array.isArray(message.content)) {\n // If content is an array of ContentChunk, handle each chunk\n message.content.forEach((chunk) => {\n if (chunk.type === 'text') {\n parts.push(fromMistralTextPart(chunk.text));\n }\n // Add support for other ContentChunk types here if needed\n });\n }\n\n // Handle tool calls if present\n if (message.toolCalls) {\n message.toolCalls.forEach((toolCall) => {\n parts.push(fromMistralToolCall(toolCall));\n });\n }\n\n return parts;\n}\n\n/**\n * Maps Mistral finish reasons to Genkit finish reasons\n * @deprecated\n */\nexport function fromMistralFinishReason(\n reason: ChatCompletionChoiceFinishReason | undefined\n): 'length' | 'unknown' | 'stop' | 'blocked' | 'other' {\n switch (reason) {\n case ChatCompletionChoiceFinishReason.Stop:\n return 'stop';\n case ChatCompletionChoiceFinishReason.Length:\n case ChatCompletionChoiceFinishReason.ModelLength:\n return 'length';\n case ChatCompletionChoiceFinishReason.Error:\n return 'other'; // Map generic errors to \"other\"\n case ChatCompletionChoiceFinishReason.ToolCalls:\n return 'stop'; // Assuming tool calls signify a \"stop\" in processing\n default:\n return 'other'; // For undefined or unmapped reasons\n }\n}\n\n/**\n * Converts a Mistral response to a Genkit response\n * @deprecated\n */\nexport function fromMistralResponse(\n _input: GenerateRequest,\n response: ChatCompletionResponse\n): ModelResponseData {\n const firstChoice = response.choices?.[0];\n // Convert content from Mistral response to Genkit parts\n const contentParts: Part[] = firstChoice?.message\n ? fromMistralMessage(firstChoice.message)\n : [];\n\n const message: MessageData = {\n role: 'model',\n content: contentParts,\n };\n\n return {\n message,\n finishReason: fromMistralFinishReason(firstChoice?.finishReason),\n usage: {\n inputTokens: response.usage.promptTokens,\n outputTokens: response.usage.completionTokens,\n },\n custom: {\n id: response.id,\n model: response.model,\n created: response.created,\n },\n raw: response, // Include the raw response for debugging or additional context\n };\n}\n\n/** @deprecated */\nexport function mistralModel(\n ai: Genkit,\n modelName: string,\n projectId: string,\n region: string\n): ModelAction {\n const getClient = createClientFactory(projectId);\n\n const model = SUPPORTED_MISTRAL_MODELS[modelName];\n if (!model) {\n throw new Error(`Unsupported Mistral model name ${modelName}`);\n }\n\n return ai.defineModel(\n {\n name: model.name,\n label: model.info?.label,\n configSchema: MistralConfigSchema,\n supports: model.info?.supports,\n versions: model.info?.versions,\n },\n async (input, sendChunk) => {\n const client = getClient(input.config?.location || region);\n\n const versionedModel =\n input.config?.version ?? model.info?.versions?.[0] ?? model.name;\n\n if (!sendChunk) {\n const mistralRequest = toMistralRequest(versionedModel, input);\n\n const response = await client.chat.complete(mistralRequest, {\n fetchOptions: {\n headers: {\n 'X-Goog-Api-Client': getGenkitClientHeader(),\n },\n },\n });\n\n return fromMistralResponse(input, response);\n } else {\n const mistralRequest = toMistralRequest(versionedModel, input);\n const stream = await client.chat.stream(mistralRequest, {\n fetchOptions: {\n headers: {\n 'X-Goog-Api-Client': getGenkitClientHeader(),\n },\n },\n });\n\n for await (const event of stream) {\n const parts = fromMistralCompletionChunk(event.data);\n if (parts.length > 0) {\n sendChunk({\n content: parts,\n });\n }\n }\n\n // Get the complete response after streaming\n const completeResponse = await client.chat.complete(mistralRequest, {\n fetchOptions: {\n headers: {\n 'X-Goog-Api-Client': getGenkitClientHeader(),\n },\n },\n });\n\n return fromMistralResponse(input, completeResponse);\n }\n }\n );\n}\n\nfunction createClientFactory(projectId: string) {\n const clients: Record = {};\n\n return (region: string): MistralGoogleCloud => {\n if (!region) {\n throw new Error('Region is required to create Mistral client');\n }\n\n try {\n if (!clients[region]) {\n clients[region] = new MistralGoogleCloud({\n region,\n projectId,\n });\n }\n return clients[region];\n } catch (error) {\n throw new Error(\n `Failed to create/retrieve Mistral client for region ${region}: ${error}`\n );\n }\n };\n}\n\ntype MistralMessage =\n | AssistantMessage\n | ToolMessage\n | SystemMessage\n | UserMessage;\n\n// Helper function to validate tool calls and responses match\nfunction validateToolSequence(messages: MistralMessage[]) {\n const toolCalls = (\n messages.filter((m) => {\n return m.role === 'assistant' && m.toolCalls;\n }) as AssistantMessage[]\n ).reduce((acc: ToolCall[], m) => {\n if (m.toolCalls) {\n return [...acc, ...m.toolCalls];\n }\n return acc;\n }, []);\n\n const toolResponses = messages.filter(\n (m) => m.role === 'tool'\n ) as ToolMessage[];\n\n if (toolCalls.length !== toolResponses.length) {\n throw new Error(\n `Mismatch between tool calls (${toolCalls.length}) and responses (${toolResponses.length})`\n );\n }\n\n toolResponses.forEach((response) => {\n const matchingCall = toolCalls.find(\n (call) => call.id === response.toolCallId\n );\n if (!matchingCall) {\n throw new Error(\n `Tool response with ID ${response.toolCallId} has no matching call`\n );\n }\n });\n}\n\n/** @deprecated */\nexport function fromMistralCompletionChunk(chunk: CompletionChunk): Part[] {\n if (!chunk.choices?.[0]?.delta) return [];\n\n const delta = chunk.choices[0].delta;\n const parts: Part[] = [];\n\n if (typeof delta.content === 'string') {\n parts.push({ text: delta.content });\n }\n\n if (delta.toolCalls) {\n delta.toolCalls.forEach((toolCall) => {\n if (!toolCall.function) return;\n\n parts.push({\n toolRequest: {\n ref: toolCall.id,\n name: toolCall.function.name,\n input:\n typeof toolCall.function.arguments === 'string'\n ? 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