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credentials.providerSettings.apiVersion\n : '2024-10-01-preview';\n\n const azureProvider = createAzure({\n apiKey: credentials.apiKey,\n resourceName: resourceName,\n apiVersion: apiVersion,\n });\n\n const result = streamText({\n model: azureProvider(credentials.model),\n prompt,\n temperature: credentials.temperature || 0.7,\n maxOutputTokens: credentials.maxTokens || 2048,\n });\n\n return {\n textStream: result.textStream,\n fullResponse: result.text,\n };\n } catch (error) {\n if (\n error instanceof Error &&\n (error.message.includes('not found') ||\n error.message.includes('does not exist') ||\n error.message.includes('deployment'))\n ) {\n throw new Error(\n `Error calling Azure OpenAI streaming API: Deployment \"${credentials.model}\" not found. ` +\n `Make sure you've correctly entered your deployment name (not the model name like \"gpt-4\"). ` +\n `Original error: ${error.message}`,\n );\n }\n\n throw new Error(\n `Error calling Azure OpenAI streaming API: ${\n error instanceof Error ? error.message : String(error)\n }`,\n );\n }\n};\n\nexport const azureChatProvider: ChatProvider = {\n name: 'azure',\n displayName: '🔷 Azure OpenAI',\n\n async streamChat(\n credentials: ChatCredentials,\n messages: ModelMessage[],\n options: ChatStreamOptions = {},\n ): Promise> {\n const settings = credentials.providerSettings || {};\n const apiKey = settings.apiKey || credentials.apiKey;\n\n if (!apiKey) {\n throw new Error('API key is required for Azure OpenAI');\n }\n\n if (!settings.resourceName) {\n throw new Error('Azure resource name is required');\n }\n\n const resourceName = settings.resourceName;\n const apiVersion = settings.apiVersion || '2024-10-01-preview';\n\n const azureProvider = createAzure({\n apiKey: apiKey,\n resourceName: resourceName,\n apiVersion: apiVersion,\n });\n\n const result = streamText({\n model: azureProvider(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 generateWithAzure = async (\n options: ExecGenerationOptions,\n): Promise => {\n const startTime = Date.now();\n\n try {\n if (!options.credentials.apiKey) {\n throw new Error('API key is required for Azure OpenAI');\n }\n\n const settings = options.credentials.providerSettings as AzureSettings;\n\n if (!settings?.resourceName) {\n throw new Error('Azure resource name is required');\n }\n\n const resourceName = settings.resourceName;\n const apiVersion = settings.apiVersion || '2024-10-01-preview';\n\n const azureProvider = createAzure({\n apiKey: options.credentials.apiKey,\n resourceName: resourceName,\n apiVersion: apiVersion,\n });\n\n const result = await generateText({\n model: azureProvider(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(`Azure exec generation failed: ${error}`);\n }\n};\n"]}