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src=\"https://img.shields.io/badge/Docker-007ec6?logo=docker&logoColor=white\" alt=\"Docker\" />\n  </a>\n  <a href=\"https://github.com/xberg-io/homebrew-tap/blob/main/Formula/liter-llm.rb\">\n    <img src=\"https://img.shields.io/badge/Homebrew-007ec6?logo=homebrew&logoColor=white\" alt=\"Homebrew\" />\n  </a>\n  <a href=\"https://github.com/xberg-io/scoop-bucket/blob/main/bucket/liter-llm.json\">\n    <img src=\"https://img.shields.io/badge/Scoop-007ec6\" alt=\"Scoop\" />\n  </a>\n  <a href=\"https://github.com/xberg-io/liter-llm/tree/main/crates/liter-llm-ffi\">\n    <img src=\"https://img.shields.io/badge/C-FFI-007ec6\" alt=\"C FFI\" />\n  </a>\n\n  <!-- Project Info -->\n  <a href=\"https://github.com/xberg-io/liter-llm/blob/main/LICENSE\">\n    <img src=\"https://img.shields.io/badge/License-MIT-007ec6\" alt=\"License\" />\n  </a>\n  <a href=\"https://docs.liter-llm.xberg.io\">\n    <img src=\"https://img.shields.io/badge/Docs-liter--llm-007ec6\" alt=\"Docs\" />\n  </a>\n</div>\n<div align=\"center\" style=\"margin: 24px 0 0\">\n  <a href=\"https://xberg.io\">\n    <img\n      alt=\"xberg.io\"\n      src=\"https://github.com/user-attachments/assets/1b6c6ad7-3b6d-4171-b1c9-f2026cc9deb8\"\n    />\n  </a>\n</div>\n<div align=\"center\" style=\"display: flex; flex-wrap: wrap; gap: 12px; justify-content: center; margin: 28px 0 24px\">\n  <a href=\"https://discord.gg/xt9WY3GnKR\">\n    <img\n      height=\"22\"\n      src=\"https://img.shields.io/badge/Discord-Chat-007ec6?logo=discord&logoColor=white\"\n      alt=\"Join Discord\"\n    />\n  </a>\n</div>\n\nUniversal LLM API client for browsers and WebAssembly runtimes. Access 165 LLM providers with portable deployment across browsers, Deno, and Cloudflare Workers.\n\n## What This Package Provides\n\n- **One provider surface** — chat, streaming, embeddings, images, audio, search, OCR, tools, and structured output across the provider registry.\n- **Provider/model routing** — call models with the `provider/model` convention and keep provider-specific request code out of application paths.\n- **Production controls** — retries, fallback, rate limits, cache layers, budgets, health checks, OpenTelemetry spans, and redacted secrets.\n- **Same core as every binding** — Rust, Python, Node.js, Go, Java, PHP, Ruby, .NET, Elixir, WASM, Kotlin Android, Swift, Dart, Zig, and C FFI use the same Rust implementation.\n- **WASM package** — browser and edge-compatible client for provider calls from WebAssembly runtimes.\n\n## Installation\n\n### Package Installation\n\nInstall via one of the supported package managers:\n\n**npm:**\n\n```bash\nnpm install @xberg-io/liter-llm-wasm\n```\n\n**pnpm:**\n\n```bash\npnpm add @xberg-io/liter-llm-wasm\n```\n\n**yarn:**\n\n```bash\nyarn add @xberg-io/liter-llm-wasm\n```\n\n### System Requirements\n\n- Modern browser with WebAssembly support, or Deno 1.0+, or Cloudflare Workers\n- API keys via environment variables or runtime configuration\n\n## Quick Start\n\n### Basic Chat\n\nSend a message to any provider using the `provider/model` prefix:\n\n```typescript\nimport init, { createClient, WasmChatCompletionRequest } from \"@xberg-io/liter-llm-wasm\";\n\nawait init();\n\nconst client = createClient(process.env.OPENAI_API_KEY!);\n\nconst request = WasmChatCompletionRequest.default();\nrequest.model = \"openai/gpt-4o\";\nrequest.messages = [{ role: \"user\", content: \"Hello!\" }];\n\nconst response = await client.chat(request);\nconsole.log(response.choices[0].message.content);\n```\n\n### Common Use Cases\n\n#### Streaming Responses\n\nStream tokens in real time:\n\n```typescript\nimport init, { createClient, WasmChatCompletionRequest } from \"@xberg-io/liter-llm-wasm\";\n\nawait init();\n\nconst client = createClient(process.env.OPENAI_API_KEY!);\n\nconst request = WasmChatCompletionRequest.default();\nrequest.model = \"openai/gpt-4o\";\nrequest.messages = [{ role: \"user\", content: \"Tell me a story\" }];\nrequest.stream = true;\n\nconst stream = await client.chatStream(request);\nwhile (true) {\n  const chunk = await stream.next();\n  if (chunk === null) {\n    break;\n  }\n  process.stdout.write(chunk.choices?.[0]?.delta?.content ?? \"\");\n}\nconsole.log();\n```\n\n### Next Steps\n\n- **[Provider Registry](https://github.com/xberg-io/liter-llm/blob/main/schemas/providers.json)** - Full list of supported providers\n- **[GitHub Repository](https://github.com/xberg-io/liter-llm)** - Source, issues, and discussions\n\n## Features\n\n### Supported Providers (165)\n\nRoute to any provider using the `provider/model` prefix convention:\n\n| Provider           | Example Model                                                 |\n| ------------------ | ------------------------------------------------------------- |\n| **OpenAI**         | `openai/gpt-4o`, `openai/gpt-4o-mini`                         |\n| **Anthropic**      | `anthropic/claude-3-5-sonnet-20241022`                        |\n| **Groq**           | `groq/llama-3.1-70b-versatile`                                |\n| **Mistral**        | `mistral/mistral-large-latest`                                |\n| **Cohere**         | `cohere/command-r-plus`                                       |\n| **Together AI**    | `together/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo`       |\n| **Fireworks**      | `fireworks/accounts/fireworks/models/llama-v3p1-70b-instruct` |\n| **Google Vertex**  | `vertexai/gemini-1.5-pro`                                     |\n| **Amazon Bedrock** | `bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0`           |\n\n**[Complete Provider List](https://github.com/xberg-io/liter-llm/blob/main/schemas/providers.json)**\n\n### Key Capabilities\n\n- **Provider Routing** -- Single client for 165 LLM providers via `provider/model` prefix\n- **Local LLMs** — Connect to locally-hosted models via Ollama, LM Studio, vLLM, llama.cpp, and other local inference servers\n- **Unified API** -- Consistent `chat`, `chat_stream`, `embeddings`, `list_models` interface\n- **Streaming** -- Real-time token streaming via `chat_stream`\n- **Tool Calling** -- Function calling and tool use across all supporting providers\n- **Type Safe** -- Schema-driven types compiled from JSON schemas\n- **Secure** -- API keys never logged or serialized, managed via environment variables\n- **Observability** -- Built-in [OpenTelemetry](https://opentelemetry.io/docs/specs/semconv/gen-ai/) with GenAI semantic conventions\n- **Error Handling** -- Structured errors with provider context and retry hints\n\n### Performance\n\nBuilt on a compiled Rust core for speed and safety:\n\n- **Provider resolution** at client construction -- zero per-request overhead\n- **Configurable timeouts** and connection pooling\n- **Zero-copy streaming** with SSE and AWS EventStream support\n- **API keys** wrapped in secure memory, zeroed on drop\n\n## Provider Routing\n\nRoute to 165 providers using the `provider/model` prefix convention:\n\n```text\nopenai/gpt-4o\nanthropic/claude-3-5-sonnet-20241022\ngroq/llama-3.1-70b-versatile\nmistral/mistral-large-latest\n```\n\nSee the [provider registry](https://github.com/xberg-io/liter-llm/blob/main/schemas/providers.json) for the full list.\n\n## Proxy, MCP Server & Plugin\n\n<details>\n<summary><strong>Run the OpenAI-compatible proxy or the MCP server</strong></summary>\n\nBeyond the SDK, the `liter-llm` CLI ships an OpenAI-compatible proxy and a Model Context Protocol (MCP) server:\n\n```bash\nbrew install xberg-io/tap/liter-llm   # or: cargo install liter-llm-cli\n# Windows: scoop bucket add xberg https://github.com/xberg-io/scoop-bucket && scoop install liter-llm\nliter-llm api --config liter-llm-proxy.toml   # OpenAI-compatible proxy\nliter-llm mcp --transport stdio               # MCP tool server\n\n# or run the proxy without installing:\ndocker run -p 4000:4000 -e LITER_LLM_MASTER_KEY=sk-your-key ghcr.io/xberg-io/liter-llm\n```\n\nTo use the MCP server inside a coding agent, install the **liter-llm plugin** from the [`xberg-io/plugins`](https://github.com/xberg-io/plugins) marketplace — it auto-registers the server. See the [MCP server](https://docs.liter-llm.xberg.io/server/mcp-server/) and [proxy server](https://docs.liter-llm.xberg.io/server/proxy-server/) guides for configuration, CLI usage, and agent integration.\n\n</details>\n\n## Documentation\n\n- **[Documentation](https://docs.liter-llm.xberg.io)** -- Full docs and API reference\n- **[GitHub Repository](https://github.com/xberg-io/liter-llm)** -- Source, issues, and discussions\n- **[Provider Registry](https://github.com/xberg-io/liter-llm/blob/main/schemas/providers.json)** -- 165 supported providers\n\n## Part of Xberg.io\n\n- [Xberg](https://github.com/xberg-io/xberg) — document intelligence: text, tables, metadata from 101 formats with optional OCR.\n- [Xberg Enterprise](https://github.com/xberg-io/xberg-enterprise) — managed extraction API with SDKs, dashboards, and observability.\n- [crawlberg](https://github.com/xberg-io/crawlberg) — web crawling and scraping with HTML→Markdown and headless-Chrome fallback.\n- [html-to-markdown](https://github.com/xberg-io/html-to-markdown) — fast, lossless HTML→Markdown engine.\n- [liter-llm](https://github.com/xberg-io/liter-llm) — universal LLM API client with native bindings for 14 languages and 165 providers.\n- [tree-sitter-language-pack](https://github.com/xberg-io/tree-sitter-language-pack) — tree-sitter grammars and code-intelligence primitives.\n- [alef](https://github.com/xberg-io/alef) — the polyglot binding generator that produces every per-language binding across the 5 polyglot repos.\n- [Discord](https://discord.gg/xt9WY3GnKR) — community, roadmap, announcements.\n\n## Contributing\n\nContributions are welcome! See [CONTRIBUTING.md](https://github.com/xberg-io/liter-llm/blob/main/CONTRIBUTING.md) for guidelines.\n\nJoin our [Discord community](https://discord.gg/xt9WY3GnKR) for questions and discussion.\n\n## License\n\nMIT -- see [LICENSE](https://github.com/xberg-io/liter-llm/blob/main/LICENSE) for details.\n","readmeFilename":"README.md"}