@agenite/ollama/dist/index.cjs.map

Ollama provider for Agenite

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*/\nexport function createTextContent(text: string): ContentBlock {\n  return { type: 'text', text };\n}\n\n/**\n * Creates a tool use content block\n */\nexport function createToolUseContent(\n  name: string,\n  input: Record<string, unknown>\n): ToolUseBlock {\n  return {\n    type: 'toolUse',\n    id: crypto.randomUUID(),\n    name,\n    input,\n  };\n}\n\n/**\n * Parses tool arguments from string or record\n */\nfunction parseToolArguments(\n  args: string | Record<string, unknown>\n): Record<string, unknown> {\n  return typeof args === 'string' ? JSON.parse(args) : args;\n}\n\n/**\n * Converts Ollama's function calls to our tool use format\n */\nexport function convertFunctionCallsToToolUses(\n  toolCalls: OllamaToolCall[]\n): ContentBlock[] {\n  return toolCalls.map((toolCall) =>\n    createToolUseContent(\n      toolCall.function.name,\n      parseToolArguments(toolCall.function.arguments)\n    )\n  );\n}\n\n/**\n * Maps Ollama finish reasons to our standard stop reasons\n */\nexport function mapStopReason(\n  finishReason: string | null\n): StopReason | undefined {\n  if (!finishReason) return undefined;\n\n  const stopReasonMap: Record<string, StopReason> = {\n    stop: 'endTurn',\n    length: 'maxTokens',\n    tool_calls: 'toolUse',\n  };\n\n  return stopReasonMap[finishReason] || undefined;\n}\n\n/**\n * Extracts text content from message blocks\n */\nexport function extractTextContent(blocks: ContentBlock[]): string {\n  return blocks\n    .map((block) => (block.type === 'text' ? block.text : ''))\n    .join('\\n')\n    .trim();\n}\n\n/**\n * Extracts base64 images from message blocks\n */\nexport function extractImages(blocks: ContentBlock[]): string[] {\n  return blocks\n    .map((block) => {\n      if (block.type === 'image' && block.source.type === 'base64') {\n        return block.source.data;\n      }\n      return null;\n    })\n    .filter((img): img is string => img !== null);\n}\n\n/**\n * Creates a tool result message in Ollama's format\n */\nfunction createToolResultMessage(\n  toolResult: ToolResultBlock,\n  toolUse: ToolUseBlock\n): OllamaMessage {\n  return {\n    role: 'tool',\n    content: JSON.stringify({\n      output: toolResult.content,\n      isError: toolResult.isError,\n      function_call: {\n        name: toolUse.name,\n        arguments: toolUse.input,\n      },\n    }),\n    name: toolResult.toolName,\n  };\n}\n\n/**\n * Creates a regular message in Ollama's format\n */\nfunction createRegularMessage(msg: BaseMessage): OllamaMessage {\n  const images = extractImages(msg.content);\n  const content = extractTextContent(msg.content);\n\n  return {\n    role: msg.role,\n    content,\n    ...(images.length > 0 && { images }),\n  };\n}\n\n/**\n * Finds a tool result for a given tool use\n */\nfunction findToolResult(\n  toolUse: ToolUseBlock,\n  nextMsg?: BaseMessage\n): ToolResultBlock | undefined {\n  return nextMsg?.content.find(\n    (block): block is ToolResultBlock =>\n      block.type === 'toolResult' && block.toolUseId === toolUse.id\n  );\n}\n\n/**\n * Processes a message pair (current and next) into Ollama messages\n */\nfunction processMessagePair(\n  msg: BaseMessage,\n  nextMsg?: BaseMessage\n): {\n  messages: OllamaMessage[];\n  skipNext: boolean;\n} {\n  const toolUses = msg.content.filter(\n    (block): block is ToolUseBlock => block.type === 'toolUse'\n  );\n\n  if (!toolUses.length) {\n    return {\n      messages: [createRegularMessage(msg)],\n      skipNext: false,\n    };\n  }\n\n  // Create a single message with all tool calls\n  const toolCallsMessage: OllamaMessage = {\n    role: 'assistant',\n    content: '',\n    tool_calls: toolUses.map((toolUse) => ({\n      function: {\n        name: toolUse.name,\n        arguments: toolUse.input as Record<string, unknown>,\n      },\n    })),\n  };\n\n  const messages: OllamaMessage[] = [toolCallsMessage];\n\n  // Add individual tool results if they exist\n  for (const toolUse of toolUses) {\n    const toolResult = findToolResult(toolUse, nextMsg);\n    if (toolResult) {\n      messages.push(createToolResultMessage(toolResult, toolUse));\n    }\n  }\n\n  // Skip next message if we found at least one tool result\n  const hasToolResults = messages.some((msg) => msg.role === 'tool');\n  return { messages, skipNext: hasToolResults };\n}\n\n/**\n * Converts our message format to Ollama's format\n */\nexport function convertMessages(messages: BaseMessage[]): OllamaMessage[] {\n  const ollamaMessages: OllamaMessage[] = [];\n\n  for (let i = 0; i < messages.length; i++) {\n    const msg = messages[i];\n    if (!msg) continue;\n\n    const { messages: newMessages, skipNext } = processMessagePair(\n      msg,\n      messages[i + 1]\n    );\n    ollamaMessages.push(...newMessages);\n\n    if (skipNext) {\n      i++; // Skip the next message since we've handled it\n    }\n  }\n\n  return ollamaMessages;\n}\n\n/**\n * Extracts type information from a tool parameter\n */\nfunction extractParameterType(value: unknown): string {\n  return typeof value === 'object' && value && 'type' in value\n    ? String(value.type)\n    : 'string';\n}\n\n/**\n * Extracts description from a tool parameter\n */\nfunction extractParameterDescription(value: unknown, key: string): string {\n  return typeof value === 'object' && value && 'description' in value\n    ? String(value.description)\n    : key;\n}\n\n/**\n * Extracts enum values from a tool parameter if they exist\n */\nfunction extractParameterEnum(value: unknown): { enum?: string[] } {\n  return typeof value === 'object' && value && 'enum' in value\n    ? { enum: (value as ToolParameterValue).enum }\n    : {};\n}\n\n/**\n * Converts a single parameter definition to Ollama's format\n */\nfunction convertParameterDefinition(key: string, value: unknown) {\n  return [\n    key,\n    {\n      type: extractParameterType(value),\n      description: extractParameterDescription(value, key),\n      ...extractParameterEnum(value),\n    },\n  ];\n}\n\n/**\n * Converts tool parameters to Ollama's format\n */\nfunction convertToolParameters(tool: ToolDefinition) {\n  return {\n    type: 'object',\n    properties: Object.fromEntries(\n      Object.entries(tool.inputSchema.properties || {}).map(([key, value]) =>\n        convertParameterDefinition(key, value)\n      )\n    ),\n    required: tool.inputSchema.required ?? [],\n  } as unknown as Tool['function']['parameters'];\n}\n\n/**\n * Converts a single tool definition to Ollama's format\n */\nfunction convertToolDefinition(tool: ToolDefinition): Tool {\n  return {\n    type: 'function' as const,\n    function: {\n      name: tool.name,\n      description: tool.description,\n      parameters: convertToolParameters(tool),\n    },\n  };\n}\n\n/**\n * Converts tool definitions to Ollama's format\n */\nexport function convertToolDefinitions(\n  tools?: ToolDefinition[]\n): Tool[] | undefined {\n  if (!tools?.length) return undefined;\n  return tools.map(convertToolDefinition);\n}\n\n/**\n * Creates error with consistent format\n */\nexport function createError(error: unknown, context: string): Error {\n  console.error(`Ollama ${context} failed:`, error);\n  return error instanceof Error\n    ? new Error(`Ollama ${context} failed: ${error.message}`)\n    : new Error(`Ollama ${context} failed with unknown error`);\n}\n","import { Ollama } from 'ollama';\nimport { convertStringToMessages, BaseLLMProvider } from '@agenite/llm';\nimport type {\n  BaseMessage,\n  GenerateResponse,\n  GenerateOptions,\n  PartialReturn,\n  ContentBlock,\n} from '@agenite/llm';\nimport type { OllamaConfig, OllamaMessage } from './types';\nimport {\n  createResponse,\n  createTextContent,\n  mapStopReason,\n  convertMessages,\n  convertToolDefinitions,\n  convertFunctionCallsToToolUses,\n  createError,\n  createToolUseContent,\n} from './utils';\n\nexport class OllamaProvider extends BaseLLMProvider {\n  private client: Ollama;\n  private config: OllamaConfig;\n  readonly name = 'Ollama';\n  readonly version = '1.0';\n\n  constructor(config: OllamaConfig) {\n    super();\n    this.config = config;\n    this.client = new Ollama({\n      host: config.host,\n    });\n  }\n\n  /**\n   * Creates base chat request parameters\n   */\n  private createBaseRequest(\n    messages: OllamaMessage[],\n    options?: Partial<GenerateOptions>\n  ) {\n    if (options?.systemPrompt) {\n      messages.unshift({\n        role: 'system',\n        content: options.systemPrompt,\n      });\n    }\n\n    return {\n      model: this.config.model,\n      messages,\n      options: {\n        temperature: options?.temperature,\n        num_predict: options?.maxTokens,\n        stop: options?.stopSequences,\n        ...this.config.parameters,\n      },\n      tools: convertToolDefinitions(options?.tools),\n    };\n  }\n\n  /**\n   * Prepares messages for chat request\n   */\n  private prepareMessages(input: string | BaseMessage[]): OllamaMessage[] {\n    const messageArray = convertStringToMessages(input);\n    return convertMessages(messageArray);\n  }\n\n  /**\n   * Combines text and tool calls into a single response content\n   */\n  private combineResponseContent(\n    text: string | null | undefined,\n    toolCalls?: Array<{\n      function: {\n        name: string;\n        arguments: string | Record<string, unknown>;\n      };\n    }>\n  ): ContentBlock[] {\n    const content: ContentBlock[] = [];\n\n    // Add text content if present\n    if (text) {\n      content.push(createTextContent(text));\n    }\n\n    // Add tool calls if present\n    if (toolCalls?.length) {\n      content.push(...convertFunctionCallsToToolUses(toolCalls));\n    }\n\n    return content;\n  }\n\n  async generate(\n    input: string | BaseMessage[],\n    options?: Partial<GenerateOptions>\n  ): Promise<GenerateResponse> {\n    try {\n      const ollamaMessages = this.prepareMessages(input);\n      const response = await this.client.chat({\n        ...this.createBaseRequest(ollamaMessages, options),\n        stream: false,\n      } as const);\n\n      return createResponse(\n        this.combineResponseContent(\n          response.message.content,\n          response.message.tool_calls\n        ),\n        this.config.model,\n        response.prompt_eval_count,\n        response.eval_count,\n        response.message.tool_calls?.length ? 'toolUse' : mapStopReason('stop')\n      );\n    } catch (error) {\n      throw createError(error, 'generation');\n    }\n  }\n\n  async *stream(\n    input: string | BaseMessage[],\n    options?: Partial<GenerateOptions>\n  ): AsyncGenerator<PartialReturn, GenerateResponse, unknown> {\n    try {\n      const ollamaMessages = this.prepareMessages(input);\n      let buffer = '';\n      let finalResponse = undefined;\n      let textAccumulator = '';\n      const toolCalls = [];\n      const response = await this.client.chat({\n        ...this.createBaseRequest(ollamaMessages, options),\n        stream: true,\n      } as const);\n\n      let hasTextStart = false;\n      let hasTextEnd = false;\n\n      for await (const chunk of response) {\n        // Handle text content\n        const content = chunk.message?.content;\n        if (content) {\n          if (!hasTextStart) {\n            yield {\n              type: 'text' as const,\n              text: '',\n              isStart: true,\n            };\n            hasTextStart = true;\n          }\n          buffer += content;\n          textAccumulator += content;\n          // Yield chunks when buffer has reasonable size\n          if (buffer.length > 4) {\n            yield {\n              type: 'text' as const,\n              text: buffer,\n            };\n            buffer = '';\n          }\n        }\n\n        // Handle tool calls\n        if (chunk.message?.tool_calls?.length) {\n          // First yield any remaining text in buffer\n          if (buffer.length > 0) {\n            yield {\n              type: 'text' as const,\n              text: buffer,\n              isEnd: true,\n            };\n            hasTextEnd = true;\n            buffer = '';\n          }\n\n          // Then yield each tool call\n          for (const toolCall of chunk.message.tool_calls) {\n            const tool = {\n              type: 'toolUse' as const,\n              toolUse: createToolUseContent(\n                toolCall.function.name,\n                toolCall.function.arguments\n              ),\n              isEnd: true,\n            };\n\n            toolCalls.push(toolCall);\n\n            yield tool;\n          }\n        }\n\n        finalResponse = chunk;\n      }\n\n      // Yield any remaining content in buffer\n      if (buffer.length > 0) {\n        yield {\n          type: 'text' as const,\n          text: buffer,\n          isEnd: true,\n        };\n      } else if (!hasTextEnd && hasTextStart) {\n        yield {\n          type: 'text' as const,\n          text: '',\n          isEnd: true,\n        };\n      }\n\n      if (!finalResponse) {\n        throw new Error('No final response received');\n      }\n\n      // Return final response with combined content\n      return createResponse(\n        this.combineResponseContent(textAccumulator, toolCalls),\n        this.config.model,\n        finalResponse.prompt_eval_count,\n        finalResponse.eval_count,\n        toolCalls?.length\n          ? 'toolUse'\n          : mapStopReason(finalResponse.done ? 'stop' : null)\n      );\n    } catch (error) {\n      throw createError(error, 'stream');\n    }\n  }\n}\n"]}