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Assistants API compatibility layer for Cogitator","maintainers":[{"name":"el1fe","email":"piuro.pavel@gmail.com"}],"readme":"# @cogitator-ai/openai-compat\n\nOpenAI Assistants API compatibility layer for Cogitator. Use OpenAI SDK clients with Cogitator backend, or integrate Cogitator with existing OpenAI-based applications.\n\n## Installation\n\n```bash\npnpm add @cogitator-ai/openai-compat\n```\n\n## Features\n\n- **OpenAI Server** - Expose Cogitator as OpenAI-compatible REST API\n- **OpenAI Adapter** - In-process adapter for programmatic access\n- **Thread Manager** - Manage conversations, messages, and assistants\n- **Persistent Storage** - Pluggable backends: In-memory, Redis, PostgreSQL\n- **SSE Streaming** - Real-time token streaming with OpenAI-compatible events\n- **File Operations** - Upload and manage files for assistants\n- **Full Assistants API** - Create, update, delete assistants\n- **Run Management** - Execute runs with tool support\n- **Authentication** - Optional API key authentication\n- **CORS Support** - Configurable cross-origin requests\n\n---\n\n## Quick Start\n\n### Server Mode\n\n```typescript\nimport { createOpenAIServer } from '@cogitator-ai/openai-compat';\nimport { Cogitator, tool } from '@cogitator-ai/core';\nimport { z } from 'zod';\n\nconst calculator = tool({\n name: 'calculator',\n description: 'Perform calculations',\n parameters: z.object({\n expression: z.string(),\n }),\n execute: async ({ expression }) => eval(expression).toString(),\n});\n\nconst cogitator = new Cogitator({\n defaultModel: 'openai/gpt-4o-mini',\n});\n\nconst server = createOpenAIServer(cogitator, {\n port: 8080,\n tools: [calculator],\n apiKeys: ['sk-my-secret-key'],\n});\n\nawait server.start();\n// Server is now available at http://localhost:8080\n```\n\n### Client Mode\n\n```typescript\nimport OpenAI from 'openai';\n\nconst openai = new OpenAI({\n baseURL: 'http://localhost:8080/v1',\n apiKey: 'sk-my-secret-key',\n});\n\nconst assistant = await openai.beta.assistants.create({\n name: 'Math Tutor',\n instructions: 'You help with math problems',\n model: 'ollama/llama3.2:latest',\n});\n\nconst thread = await openai.beta.threads.create();\n\nawait openai.beta.threads.messages.create(thread.id, {\n role: 'user',\n content: 'What is 2 + 2?',\n});\n\nconst run = await openai.beta.threads.runs.create(thread.id, {\n assistant_id: assistant.id,\n});\n\n// Poll for completion\nlet status = run.status;\nwhile (status === 'queued' || status === 'in_progress') {\n await new Promise((r) => setTimeout(r, 1000));\n const updated = await openai.beta.threads.runs.retrieve(thread.id, run.id);\n status = updated.status;\n}\n\nconst messages = await openai.beta.threads.messages.list(thread.id);\nconsole.log(messages.data[0].content);\n```\n\n---\n\n## OpenAI Server\n\nThe `OpenAIServer` exposes Cogitator as an OpenAI-compatible REST API.\n\n### Configuration\n\n```typescript\nimport { OpenAIServer, createOpenAIServer } from '@cogitator-ai/openai-compat';\n\nconst server = new OpenAIServer(cogitator, {\n port: 8080,\n host: '0.0.0.0',\n\n apiKeys: ['sk-key1', 'sk-key2'],\n\n tools: [calculator, datetime, webSearch],\n\n logging: true,\n\n cors: {\n origin: ['http://localhost:3000', 'https://myapp.com'],\n methods: ['GET', 'POST', 'DELETE', 'OPTIONS'],\n },\n});\n```\n\n### Configuration Options\n\n| Option | Type | Default | Description |\n| -------------- | ------------------------------- | -------------------------------------- | ------------------------------------------------ |\n| `port` | `number` | `8080` | Port to listen on |\n| `host` | `string` | `'0.0.0.0'` | Host to bind to |\n| `apiKeys` | `string[]` | `[]` | API keys for authentication. Empty disables auth |\n| `tools` | `Tool[]` | `[]` | Tools available to assistants |\n| `logging` | `boolean` | `false` | Enable request logging |\n| `cors.origin` | `string \\| string[] \\| boolean` | `true` | CORS origin configuration |\n| `cors.methods` | `string[]` | `['GET', 'POST', 'DELETE', 'OPTIONS']` | Allowed HTTP methods |\n\n### Server Lifecycle\n\n```typescript\nawait server.start();\n\nconsole.log(server.getUrl());\nconsole.log(server.getBaseUrl());\n\nconsole.log(server.isRunning());\n\nconst adapter = server.getAdapter();\n\nawait server.stop();\n```\n\n### Health Check\n\nThe server provides a health endpoint:\n\n```bash\ncurl http://localhost:8080/health\n# {\"status\":\"ok\"}\n```\n\n---\n\n## OpenAI Adapter\n\nThe `OpenAIAdapter` provides in-process access without running a server.\n\n```typescript\nimport { OpenAIAdapter, createOpenAIAdapter } from '@cogitator-ai/openai-compat';\n\nconst adapter = createOpenAIAdapter(cogitator, {\n tools: [calculator],\n});\n```\n\n### Assistant Management\n\n```typescript\nconst assistant = await adapter.createAssistant({\n model: 'openai/gpt-4o',\n name: 'Code Helper',\n instructions: 'You help write code',\n temperature: 0.7,\n tools: [{ type: 'code_interpreter' }],\n metadata: { category: 'development' },\n});\n\nconst fetched = await adapter.getAssistant(assistant.id);\n\nconst updated = await adapter.updateAssistant(assistant.id, {\n name: 'Code Expert',\n temperature: 0.5,\n});\n\nconst all = await adapter.listAssistants();\n\nconst deleted = await adapter.deleteAssistant(assistant.id);\n```\n\n### Thread Operations\n\n```typescript\nconst thread = await adapter.createThread({ project: 'demo' });\n\nconst fetched = await adapter.getThread(thread.id);\n\nconst message = await adapter.addMessage(thread.id, {\n role: 'user',\n content: 'Hello, how are you?',\n metadata: { source: 'web' },\n});\n\nconst messages = await adapter.listMessages(thread.id, {\n limit: 20,\n order: 'asc',\n after: 'msg_abc123',\n before: 'msg_xyz789',\n run_id: 'run_123',\n});\n\nconst msg = await adapter.getMessage(thread.id, 'msg_abc123');\n\nawait adapter.deleteThread(thread.id);\n```\n\n### Run Execution\n\n```typescript\nconst run = await adapter.createRun(thread.id, {\n assistant_id: assistant.id,\n model: 'openai/gpt-4o',\n instructions: 'Be concise',\n temperature: 0.5,\n additional_messages: [{ role: 'user', content: 'Extra context' }],\n metadata: { source: 'api' },\n});\n\nconst status = adapter.getRun(thread.id, run.id);\n\nconst cancelled = adapter.cancelRun(thread.id, run.id);\n```\n\n### Tool Outputs\n\n```typescript\nconst run = adapter.getRun(thread.id, runId);\n\nif (run?.status === 'requires_action') {\n const toolCalls = run.required_action?.submit_tool_outputs.tool_calls;\n\n const outputs = await Promise.all(\n toolCalls!.map(async (call) => ({\n tool_call_id: call.id,\n output: await executeMyTool(call.function.name, call.function.arguments),\n }))\n );\n\n await adapter.submitToolOutputs(thread.id, runId, {\n tool_outputs: outputs,\n });\n}\n```\n\n---\n\n## Thread Manager\n\nThe `ThreadManager` handles storage for threads, messages, assistants, and files.\n\n```typescript\nimport { ThreadManager } from '@cogitator-ai/openai-compat';\n\nconst manager = new ThreadManager();\n```\n\n### Assistant Storage\n\n```typescript\ninterface StoredAssistant {\n id: string;\n name: string | null;\n model: string;\n instructions: string | null;\n tools: AssistantTool[];\n metadata: Record;\n temperature?: number;\n created_at: number;\n}\n\nconst assistant = await manager.createAssistant({\n model: 'gpt-4o',\n name: 'Helper',\n instructions: 'Be helpful',\n});\n\nconst fetched = await manager.getAssistant(assistant.id);\nconst updated = await manager.updateAssistant(assistant.id, { name: 'Expert' });\nconst all = await manager.listAssistants();\nawait manager.deleteAssistant(assistant.id);\n```\n\n### Thread Storage\n\n```typescript\nconst thread = await manager.createThread({ key: 'value' });\nconst fetched = await manager.getThread(thread.id);\nawait manager.deleteThread(thread.id);\n```\n\n### Message Operations\n\n```typescript\nconst message = await manager.addMessage(thread.id, {\n role: 'user',\n content: 'Hello!',\n});\n\nconst assistantMsg = await manager.addAssistantMessage(\n thread.id,\n 'Hi there!',\n assistant.id,\n run.id\n);\n\nconst messages = await manager.listMessages(thread.id, {\n limit: 50,\n order: 'desc',\n});\n\nconst llmMessages = await manager.getMessagesForLLM(thread.id);\n```\n\n### File Management\n\n```typescript\nconst file = await manager.addFile(Buffer.from('file content'), 'document.txt');\n\nconst fetched = await manager.getFile(file.id);\n\nconst all = await manager.listFiles();\n\nawait manager.deleteFile(file.id);\n```\n\n---\n\n## Persistent Storage\n\nBy default, ThreadManager uses in-memory storage. For production, use Redis or PostgreSQL backends.\n\n### Storage Backends\n\n```typescript\nimport {\n ThreadManager,\n InMemoryThreadStorage,\n RedisThreadStorage,\n PostgresThreadStorage,\n createThreadStorage,\n} from '@cogitator-ai/openai-compat';\n```\n\n### In-Memory (Default)\n\n```typescript\nconst manager = new ThreadManager();\n// or explicitly:\nconst manager = new ThreadManager(new InMemoryThreadStorage());\n```\n\n### Redis Storage\n\nRequires `ioredis` peer dependency:\n\n```bash\npnpm add ioredis\n```\n\n```typescript\nconst storage = new RedisThreadStorage({\n host: 'localhost',\n port: 6379,\n keyPrefix: 'cogitator:openai:', // optional, default: 'cogitator:openai:'\n ttl: 86400, // optional, default: 86400 (24h)\n});\nawait storage.connect();\n\nconst manager = new ThreadManager(storage);\n\n// When done:\nawait storage.disconnect();\n```\n\nWith connection URL:\n\n```typescript\nconst storage = new RedisThreadStorage({\n url: 'redis://user:pass@localhost:6379/0',\n});\n```\n\n### PostgreSQL Storage\n\nRequires `pg` peer dependency:\n\n```bash\npnpm add pg\n```\n\n```typescript\nconst storage = new PostgresThreadStorage({\n connectionString: 'postgresql://user:pass@localhost:5432/db',\n schema: 'public', // optional, default: 'public'\n tableName: 'openai_compat_data', // optional, default: 'openai_compat_data'\n});\nawait storage.connect();\n\nconst manager = new ThreadManager(storage);\n\n// When done:\nawait storage.disconnect();\n```\n\n### Factory Function\n\n```typescript\n// In-memory (default)\nconst storage = createThreadStorage();\n// or: createThreadStorage({ type: 'memory' })\n\n// Redis\nconst storage = createThreadStorage({\n type: 'redis',\n host: 'localhost',\n port: 6379,\n});\nawait storage.connect!();\n\n// PostgreSQL\nconst storage = createThreadStorage({\n type: 'postgres',\n connectionString: 'postgresql://localhost/db',\n});\nawait storage.connect!();\n```\n\n### Using with OpenAI Adapter\n\n```typescript\nimport { OpenAIAdapter, ThreadManager, RedisThreadStorage } from '@cogitator-ai/openai-compat';\nimport { Cogitator } from '@cogitator-ai/core';\n\nconst storage = new RedisThreadStorage({ host: 'localhost' });\nawait storage.connect();\n\n// Create ThreadManager with persistent storage\nconst manager = new ThreadManager(storage);\n\n// Use the adapter in-process (for custom server integrations)\nconst cogitator = new Cogitator({ defaultModel: 'openai/gpt-4o' });\nconst adapter = new OpenAIAdapter(cogitator, { tools: [] });\n```\n\n### ThreadStorage Interface\n\nAll storage backends implement this interface:\n\n```typescript\ninterface ThreadStorage {\n // Threads\n saveThread(id: string, thread: StoredThread): Promise;\n loadThread(id: string): Promise;\n deleteThread(id: string): Promise;\n listThreads(): Promise;\n\n // Assistants\n saveAssistant(id: string, assistant: StoredAssistant): Promise;\n loadAssistant(id: string): Promise;\n deleteAssistant(id: string): Promise;\n listAssistants(): Promise;\n\n // Files\n saveFile(id: string, file: StoredFile): Promise;\n loadFile(id: string): Promise;\n deleteFile(id: string): Promise;\n listFiles(): Promise;\n\n // Lifecycle (optional)\n connect?(): Promise;\n disconnect?(): Promise;\n}\n```\n\n### Custom Storage Implementation\n\n```typescript\nimport type { ThreadStorage } from '@cogitator-ai/openai-compat';\n\nclass MyCustomStorage implements ThreadStorage {\n async saveThread(id: string, thread: StoredThread): Promise {\n // Your implementation\n }\n // ... implement all methods\n}\n\nconst manager = new ThreadManager(new MyCustomStorage());\n```\n\n---\n\n## Supported Endpoints\n\n### Models\n\n| Method | Endpoint | Description |\n| ------ | ------------ | --------------------- |\n| GET | `/v1/models` | List available models |\n\n### Assistants\n\n| Method | Endpoint | Description |\n| ------ | -------------------- | ---------------- |\n| POST | `/v1/assistants` | Create assistant |\n| GET | `/v1/assistants` | List assistants |\n| GET | `/v1/assistants/:id` | Get assistant |\n| POST | `/v1/assistants/:id` | Update assistant |\n| DELETE | `/v1/assistants/:id` | Delete assistant |\n\n### Threads\n\n| Method | Endpoint | Description |\n| ------ | ----------------- | ------------- |\n| POST | `/v1/threads` | Create thread |\n| GET | `/v1/threads/:id` | Get thread |\n| DELETE | `/v1/threads/:id` | Delete thread |\n\n### Messages\n\n| Method | Endpoint | Description |\n| ------ | ---------------------------------- | ------------- |\n| POST | `/v1/threads/:id/messages` | Add message |\n| GET | `/v1/threads/:id/messages` | List messages |\n| GET | `/v1/threads/:id/messages/:msg_id` | Get message |\n\n### Runs\n\n| Method | Endpoint | Description |\n| ------ | -------------------------------------------------- | ------------------- |\n| POST | `/v1/threads/:id/runs` | Create run |\n| GET | `/v1/threads/:id/runs/:run_id` | Get run status |\n| POST | `/v1/threads/:id/runs/:run_id/cancel` | Cancel run |\n| POST | `/v1/threads/:id/runs/:run_id/submit_tool_outputs` | Submit tool outputs |\n\n### Files\n\n| Method | Endpoint | Description |\n| ------ | ----------------------- | --------------------- |\n| POST | `/v1/files` | Upload file |\n| GET | `/v1/files` | List files |\n| GET | `/v1/files/:id` | Get file metadata |\n| GET | `/v1/files/:id/content` | Download file content |\n| DELETE | `/v1/files/:id` | Delete file |\n\n---\n\n## Error Handling\n\nThe server returns OpenAI-compatible error responses:\n\n```typescript\ninterface OpenAIError {\n error: {\n message: string;\n type: string;\n param?: string;\n code?: string;\n };\n}\n```\n\n### Error Types\n\n| HTTP Status | Type | Description |\n| ----------- | ----------------------- | -------------------------- |\n| 400 | `invalid_request_error` | Invalid request parameters |\n| 401 | `authentication_error` | Invalid or missing API key |\n| 404 | `invalid_request_error` | Resource not found |\n| 500 | `server_error` | Internal server error |\n\n### Client-Side Error Handling\n\n```typescript\ntry {\n const run = await openai.beta.threads.runs.create(threadId, {\n assistant_id: 'invalid-id',\n });\n} catch (error) {\n if (error instanceof OpenAI.APIError) {\n console.log(error.status);\n console.log(error.message);\n console.log(error.code);\n }\n}\n```\n\n---\n\n## Run Status\n\nRuns go through the following states:\n\n```typescript\ntype RunStatus =\n | 'queued'\n | 'in_progress'\n | 'requires_action'\n | 'cancelling'\n | 'cancelled'\n | 'failed'\n | 'completed'\n | 'incomplete'\n | 'expired';\n```\n\n### Status Flow\n\n```\nqueued → in_progress → completed\n → failed\n → requires_action → in_progress → ...\n\nin_progress → cancelling → cancelled\n```\n\n### Polling for Completion\n\n```typescript\nasync function waitForRun(openai: OpenAI, threadId: string, runId: string): Promise {\n const terminalStates = ['completed', 'failed', 'cancelled', 'expired'];\n\n while (true) {\n const run = await openai.beta.threads.runs.retrieve(threadId, runId);\n\n if (terminalStates.includes(run.status)) {\n return run;\n }\n\n if (run.status === 'requires_action') {\n return run;\n }\n\n await new Promise((r) => setTimeout(r, 1000));\n }\n}\n```\n\n---\n\n## SSE Streaming\n\nReal-time streaming support with Server-Sent Events (SSE). Streams tokens as they are generated for immediate feedback.\n\n### Streaming with OpenAI SDK\n\n```typescript\nconst run = await openai.beta.threads.runs.create(threadId, {\n assistant_id: assistant.id,\n stream: true, // Enable streaming\n});\n\n// Handle streaming events\nfor await (const event of run) {\n if (event.event === 'thread.message.delta') {\n const delta = event.data.delta;\n if (delta.content) {\n for (const content of delta.content) {\n if (content.type === 'text' && content.text?.value) {\n process.stdout.write(content.text.value);\n }\n }\n }\n }\n}\n```\n\n### Create Thread and Run with Streaming\n\n```typescript\nconst run = await openai.beta.threads.createAndRun({\n assistant_id: assistant.id,\n thread: {\n messages: [{ role: 'user', content: 'Hello!' }],\n },\n stream: true,\n});\n\n// Process stream\nfor await (const event of run) {\n console.log(event.event, event.data);\n}\n```\n\n### Stream Events\n\n```typescript\ntype StreamEvent =\n | { event: 'thread.run.created'; data: Run }\n | { event: 'thread.run.queued'; data: Run }\n | { event: 'thread.run.in_progress'; data: Run }\n | { event: 'thread.run.requires_action'; data: Run }\n | { event: 'thread.run.completed'; data: Run }\n | { event: 'thread.run.failed'; data: Run }\n | { event: 'thread.run.cancelled'; data: Run }\n | { event: 'thread.message.created'; data: Message }\n | { event: 'thread.message.in_progress'; data: Message }\n | { event: 'thread.message.delta'; data: MessageDelta }\n | { event: 'thread.message.completed'; data: Message }\n | { event: 'done'; data: '[DONE]' };\n```\n\n### Message Delta Format\n\n```typescript\ninterface MessageDelta {\n id: string;\n object: 'thread.message.delta';\n delta: {\n content?: {\n index: number;\n type: 'text';\n text?: { value?: string };\n }[];\n };\n}\n```\n\n### Raw SSE Endpoint\n\nFor non-SDK usage, the SSE stream is available at:\n\n```\nPOST /v1/threads/{thread_id}/runs\nContent-Type: application/json\n\n{\n \"assistant_id\": \"asst_xxx\",\n \"stream\": true\n}\n```\n\nResponse format (Server-Sent Events):\n\n```\nevent: thread.run.created\ndata: {\"id\":\"run_xxx\",\"status\":\"queued\",...}\n\nevent: thread.run.in_progress\ndata: {\"id\":\"run_xxx\",\"status\":\"in_progress\",...}\n\nevent: thread.message.created\ndata: {\"id\":\"msg_xxx\",\"status\":\"in_progress\",...}\n\nevent: thread.message.delta\ndata: {\"id\":\"msg_xxx\",\"delta\":{\"content\":[{\"index\":0,\"type\":\"text\",\"text\":{\"value\":\"Hello\"}}]}}\n\nevent: thread.message.delta\ndata: {\"id\":\"msg_xxx\",\"delta\":{\"content\":[{\"index\":1,\"type\":\"text\",\"text\":{\"value\":\" world\"}}]}}\n\nevent: thread.message.completed\ndata: {\"id\":\"msg_xxx\",\"status\":\"completed\",...}\n\nevent: thread.run.completed\ndata: {\"id\":\"run_xxx\",\"status\":\"completed\",...}\n\nevent: done\ndata: [DONE]\n```\n\n---\n\n## Type Reference\n\n### Core Types\n\n```typescript\nimport type {\n OpenAIError,\n ListResponse,\n Assistant,\n AssistantTool,\n FunctionDefinition,\n ResponseFormat,\n CreateAssistantRequest,\n UpdateAssistantRequest,\n} from '@cogitator-ai/openai-compat';\n```\n\n### Thread Types\n\n```typescript\nimport type { Thread, ToolResources, CreateThreadRequest } from '@cogitator-ai/openai-compat';\n```\n\n### Message Types\n\n```typescript\nimport type {\n Message,\n MessageContent,\n TextContent,\n TextAnnotation,\n Attachment,\n CreateMessageRequest,\n MessageContentPart,\n MessageDelta,\n} from '@cogitator-ai/openai-compat';\n```\n\n### Run Types\n\n```typescript\nimport type {\n Run,\n RunStatus,\n RequiredAction,\n ToolCall,\n RunError,\n Usage,\n ToolChoice,\n CreateRunRequest,\n SubmitToolOutputsRequest,\n ToolOutput,\n} from '@cogitator-ai/openai-compat';\n```\n\n### Run Step Types\n\n```typescript\nimport type { RunStep, StepDetails, StepToolCall, RunStepDelta } from '@cogitator-ai/openai-compat';\n```\n\n### File Types\n\n```typescript\nimport type { FileObject, FilePurpose, UploadFileRequest } from '@cogitator-ai/openai-compat';\n```\n\n### Stream Types\n\n```typescript\nimport type { StreamEvent, MessageDelta, RunStepDelta } from '@cogitator-ai/openai-compat';\n```\n\n### Storage Types\n\n```typescript\nimport type {\n ThreadStorage,\n StoredThread,\n StoredAssistant,\n StoredFile,\n RedisThreadStorageConfig,\n PostgresThreadStorageConfig,\n} from '@cogitator-ai/openai-compat';\n\nimport {\n InMemoryThreadStorage,\n RedisThreadStorage,\n PostgresThreadStorage,\n createThreadStorage,\n} from '@cogitator-ai/openai-compat';\n```\n\n---\n\n## Examples\n\n### Chat Bot with Memory\n\n```typescript\nimport { createOpenAIServer } from '@cogitator-ai/openai-compat';\nimport { Cogitator } from '@cogitator-ai/core';\nimport OpenAI from 'openai';\n\nconst cogitator = new Cogitator({\n defaultModel: 'ollama/llama3.2:latest',\n});\n\nconst server = createOpenAIServer(cogitator, { port: 8080 });\nawait server.start();\n\nconst openai = new OpenAI({\n baseURL: server.getBaseUrl(),\n apiKey: 'not-needed',\n});\n\nconst assistant = await openai.beta.assistants.create({\n name: 'Chat Bot',\n instructions: 'You are a friendly chat bot. Remember previous messages.',\n model: 'ollama/llama3.2:latest',\n});\n\nconst thread = await openai.beta.threads.create();\n\nasync function chat(message: string): Promise {\n await openai.beta.threads.messages.create(thread.id, {\n role: 'user',\n content: message,\n });\n\n const run = await openai.beta.threads.runs.create(thread.id, {\n assistant_id: assistant.id,\n });\n\n while (true) {\n const status = await openai.beta.threads.runs.retrieve(thread.id, run.id);\n if (status.status === 'completed') break;\n if (status.status === 'failed') throw new Error(status.last_error?.message);\n await new Promise((r) => setTimeout(r, 500));\n }\n\n const messages = await openai.beta.threads.messages.list(thread.id, {\n limit: 1,\n order: 'desc',\n });\n\n const content = messages.data[0].content[0];\n return content.type === 'text' ? content.text.value : '';\n}\n\nconsole.log(await chat('Hi, my name is Alex'));\nconsole.log(await chat('What is my name?'));\n```\n\n### Code Assistant with Tools\n\n```typescript\nimport { createOpenAIServer } from '@cogitator-ai/openai-compat';\nimport { Cogitator, tool } from '@cogitator-ai/core';\nimport { z } from 'zod';\nimport OpenAI from 'openai';\n\nconst runCode = tool({\n name: 'run_code',\n description: 'Execute Python code',\n parameters: z.object({\n code: z.string().describe('Python code to execute'),\n }),\n execute: async ({ code }) => {\n return `Output: ${code.length} characters`;\n },\n});\n\nconst cogitator = new Cogitator({\n defaultModel: 'openai/gpt-4o',\n});\n\nconst server = createOpenAIServer(cogitator, {\n port: 8080,\n tools: [runCode],\n});\n\nawait server.start();\n\nconst openai = new OpenAI({\n baseURL: server.getBaseUrl(),\n apiKey: process.env.OPENAI_API_KEY,\n});\n\nconst assistant = await openai.beta.assistants.create({\n name: 'Code Runner',\n instructions: 'You can run Python code using the run_code tool.',\n model: 'openai/gpt-4o',\n tools: [{ type: 'function', function: { name: 'run_code' } }],\n});\n```\n\n### File Upload\n\n```typescript\nimport OpenAI from 'openai';\n\nconst openai = new OpenAI({\n baseURL: 'http://localhost:8080/v1',\n apiKey: 'key',\n});\n\nconst file = await openai.files.create({\n file: fs.createReadStream('data.csv'),\n purpose: 'assistants',\n});\n\nconsole.log('Uploaded:', file.id);\n\nconst content = await openai.files.content(file.id);\nconsole.log('Content:', await content.text());\n\nawait openai.files.del(file.id);\n```\n\n### Multi-Model Setup\n\n```typescript\nconst cogitator = new Cogitator({\n defaultModel: 'ollama/llama3.2:latest',\n});\n\nconst server = createOpenAIServer(cogitator, { port: 8080 });\nawait server.start();\n\nconst openai = new OpenAI({\n baseURL: server.getBaseUrl(),\n apiKey: 'not-needed',\n});\n\nconst localAssistant = await openai.beta.assistants.create({\n name: 'Local Assistant',\n model: 'ollama/llama3.2:latest',\n instructions: 'Fast local responses',\n});\n\nconst cloudAssistant = await openai.beta.assistants.create({\n name: 'Cloud Assistant',\n model: 'openai/gpt-4o',\n instructions: 'Complex reasoning tasks',\n});\n```\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}