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error.message : String(error)\n }`,\n );\n }\n};\n\nexport const lmstudioChatProvider: ChatProvider = {\n name: 'lmstudio',\n displayName: '🖥️ LM Studio',\n\n async streamChat(\n credentials: ChatCredentials,\n messages: ModelMessage[],\n options: ChatStreamOptions = {},\n ): Promise> {\n const settings = credentials.providerSettings as any;\n const baseURL = settings?.baseURL || 'http://localhost:1234/v1';\n\n const result = streamText({\n model: createLMStudio({\n baseURL,\n name: 'lmstudio',\n })(credentials.model),\n messages,\n temperature: credentials.temperature || options.temperature || 0.7,\n maxOutputTokens: credentials.maxTokens || options.maxTokens || 2048,\n });\n\n return result.textStream;\n },\n};\n\nexport const generateWithLMStudio = async (\n options: ExecGenerationOptions,\n): Promise => {\n const startTime = Date.now();\n\n try {\n const settings = options.credentials.providerSettings as any;\n const baseURL = settings?.baseURL || 'http://localhost:1234/v1';\n\n const lmstudioProvider = createLMStudio({\n baseURL,\n name: 'lmstudio',\n });\n\n const result = await generateText({\n model: lmstudioProvider(options.credentials.model),\n system: options.systemPrompt,\n prompt: options.userPrompt,\n });\n\n const generationTime = Date.now() - startTime;\n\n const command = parseCommandFromResponse(result.text);\n\n return {\n command,\n generationTime,\n };\n } catch (error) {\n throw new Error(`LM Studio exec generation failed: ${error}`);\n }\n};\n"]}