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Development Kit for multi-agent orchestration over the Responses API via LlamaStack","maintainers":[{"name":"rbrhssa","email":"rbanda@redhat.com"}],"readme":"# Augment ADK\n\n[![CI](https://github.com/augment-adk/augment-adk/actions/workflows/ci.yml/badge.svg)](https://github.com/augment-adk/augment-adk/actions/workflows/ci.yml)\n\nA lightweight TypeScript SDK for building multi-agent workflows over the Responses API via [LlamaStack](https://github.com/meta-llama/llama-stack). Inspired by the [OpenAI Agents JS SDK](https://github.com/openai/openai-agents-js), zero external runtime dependencies.\n\n## Core concepts\n\n1. **[Agents](./examples/basic)**: LLMs configured with instructions, tools, guardrails, and handoffs\n2. **[Handoffs](./examples/multi-agent)**: Delegating to other agents via typed agent graphs with validation\n3. **[Tools](./examples/mcp-tools)**: Function tools, MCP tool integration, and hosted tool factories\n4. **[Guardrails](./packages/adk-core/src/guardrails)**: Configurable safety checks for input and output validation\n5. **[Human in the loop](./examples/human-in-the-loop)**: Built-in approval store with MCP approval flow\n6. **[Sessions](./packages/adk-core/src/session)**: Conversation history management across agent runs\n7. **[Tracing](./packages/adk-core/src/tracing)**: Built-in tracking of agent runs for debugging and optimization\n8. **[Streaming](./packages/adk-core/src/stream)**: SSE normalization for real-time token streaming\n\nExplore the [`examples/`](./examples) directory to see the SDK in action.\n\n## Get started\n\n### Supported environments\n\n- Node.js 18 or later\n- Any TypeScript runtime (Deno, Bun)\n\n### Installation\n\n```bash\nnpm install @augment-adk/augment-adk\n```\n\n### Run your first agent\n\n```typescript\nimport { run, LlamaStackModel } from '@augment-adk/augment-adk';\n\nconst model = new LlamaStackModel({\n  clientConfig: { baseUrl: 'http://localhost:8321' },\n});\n\nconst result = await run('What is the capital of France?', {\n  model,\n  agents: {\n    assistant: {\n      name: 'Assistant',\n      instructions: 'You are a helpful assistant.',\n    },\n  },\n  defaultAgent: 'assistant',\n  config: {\n    model: 'meta-llama/Llama-3.1-8B-Instruct',\n    baseUrl: 'http://localhost:8321',\n    systemPrompt: 'You are a helpful assistant.',\n    enableWebSearch: false,\n    enableCodeInterpreter: false,\n    vectorStoreIds: [],\n    vectorStoreName: '',\n    embeddingModel: '',\n    embeddingDimension: 384,\n    chunkingStrategy: 'auto',\n    maxChunkSizeTokens: 800,\n    chunkOverlapTokens: 400,\n    skipTlsVerify: true,\n    zdrMode: false,\n    verboseStreamLogging: false,\n  },\n});\n\nconsole.log(result.content);\n```\n\n### Optional: Chat Completions for local development\n\nFor local testing with Ollama, vLLM, or other Chat Completions providers, install the optional adapter:\n\n```bash\nnpm install @augment-adk/adk-chat-completions\n```\n\n```typescript\nimport { run } from '@augment-adk/augment-adk';\nimport { ChatCompletionsModel } from '@augment-adk/adk-chat-completions';\n\nconst model = new ChatCompletionsModel({\n  clientConfig: {\n    baseUrl: 'http://localhost:11434',\n    token: process.env.API_KEY,\n  },\n});\n```\n\nSee the [chat-completions example](./examples/chat-completions) for a complete walkthrough.\n\n## Examples\n\n| Example | Description |\n|---------|-------------|\n| [basic](./examples/basic) | Single-agent question answering |\n| [chat-completions](./examples/chat-completions) | Chat Completions backend via optional `@augment-adk/adk-chat-completions` |\n| [multi-agent](./examples/multi-agent) | Router + specialist agent graph with handoffs |\n| [mcp-tools](./examples/mcp-tools) | Function tools and hosted MCP tool integration |\n| [human-in-the-loop](./examples/human-in-the-loop) | Approval workflows for destructive operations |\n| [backstage-plugin](./examples/backstage-plugin) | Integrating ADK into a Backstage backend plugin |\n\n## Packages\n\nThe SDK is organized as a monorepo with focused packages:\n\n| Package | Description |\n|---------|-------------|\n| [`@augment-adk/augment-adk`](./packages/augment-adk) | Batteries-included entry point (core + LlamaStack) |\n| [`@augment-adk/adk-core`](./packages/adk-core) | Provider-agnostic core: agents, runner, tools, guardrails, approval, streaming, tracing |\n| [`@augment-adk/adk-llamastack`](./packages/adk-llamastack) | LlamaStack Responses API model provider |\n| [`@augment-adk/adk-chat-completions`](./packages/adk-chat-completions) | Chat Completions adapter (optional, separate install) |\n\nMost users should install `@augment-adk/augment-adk`. Advanced consumers can import individual packages for lighter bundles:\n\n```typescript\nimport { run, Agent } from '@augment-adk/adk-core';\nimport { LlamaStackModel } from '@augment-adk/adk-llamastack';\n```\n\n## Architecture\n\nSee [ARCHITECTURE.md](./ARCHITECTURE.md) for design decisions, extension points, and how the run loop works. Start there if you want to add a new model provider, integrate with a different framework, or understand how the codebase is structured.\n\n## Development\n\n```bash\n# Install dependencies\npnpm install\n\n# Build all packages (in dependency order)\npnpm -r build\n\n# Run all tests\npnpm -r test\n\n# Type-check all packages\npnpm -r typecheck\n\n# Lint\npnpm -r lint\n```\n\n## Acknowledgements\n\nWe'd like to acknowledge the excellent work of the open-source community, especially:\n\n- [OpenAI Agents JS SDK](https://github.com/openai/openai-agents-js) (architectural inspiration)\n- [LlamaStack](https://github.com/meta-llama/llama-stack) (Responses API backend)\n- [zod](https://github.com/colinhacks/zod) (optional schema validation)\n- [vitest](https://github.com/vitest-dev/vitest) and [tsup](https://github.com/egoist/tsup)\n- [pnpm](https://pnpm.io/)\n\n## License\n\nApache-2.0 — see [LICENSE](./LICENSE).\n","readmeFilename":"README.md"}