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[API Development](/categories/api) 4. / 5. kreuzberg/liter-llm ActivePhp-ext[API Development](/categories/api) kreuzberg/liter-llm =================== Universal LLM API client with Rust-powered polyglot bindings. 1.3.0(2mo ago)2101916[1 issues](https://github.com/kreuzberg-dev/liter-llm/issues)[2 PRs](https://github.com/kreuzberg-dev/liter-llm/pulls)MITRustPHP ^8.2CI failing Since Mar 27Pushed 1w ago1 watchersCompare [ Source](https://github.com/kreuzberg-dev/liter-llm)[ Packagist](https://packagist.org/packages/kreuzberg/liter-llm)[ Docs](https://github.com/kreuzberg-dev/liter-llm)[ RSS](/packages/kreuzberg-liter-llm/feed)WikiDiscussions main Synced 3w ago READMEChangelog (10)Dependencies (6)Versions (116)Used By (0) liter-llm ========= [](#liter-llm) [ ![Bindings](https://camo.githubusercontent.com/23b2c7873e51d39aafa797a5571f07783c505f083f976594e38024d10eb4e433/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f42696e64696e67732d616c65662532302544372539302d303037656336) 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![kreuzberg.dev](https://private-user-images.githubusercontent.com/247880403/531720042-1b6c6ad7-3b6d-4171-b1c9-f2026cc9deb8.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3ODE3ODU0OTIsIm5iZiI6MTc4MTc4NTE5MiwicGF0aCI6Ii8yNDc4ODA0MDMvNTMxNzIwMDQyLTFiNmM2YWQ3LTNiNmQtNDE3MS1iMWM5LWYyMDI2Y2M5ZGViOC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjYwNjE4JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI2MDYxOFQxMjE5NTJaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1lNWRjZGE0OGU5NzAxMzE3ZjQwMWI1Mzc0ZTIxOGE3NDdjMjMyODQyM2IzNzMwYWM5NWIwNTZjOWZiMWI0OWQ0JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZyZXNwb25zZS1jb250ZW50LXR5cGU9aW1hZ2UlMkZwbmcifQ.ZLLnb1FCBxm5WLPPTP3T0MQdaxmA1jZdDCdvS6S_2vQ) ](https://kreuzberg.dev) [ ![Join Discord](https://camo.githubusercontent.com/c3d59355bb5f7fc8224936ba897a06b87e5ba6f52bd08dfd2f7f78bf669c550d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f446973636f72642d436861742d3030376563363f6c6f676f3d646973636f7264266c6f676f436f6c6f723d7768697465) ](https://discord.gg/xt9WY3GnKR) **A lighter, faster, safer universal LLM API client** -- one Rust core, 14 native language bindings, 143 providers. Why liter-llm? -------------- [](#why-liter-llm) A universal LLM API client, compiled from the ground up in Rust. No interpreter, no transitive dependency tree, no supply chain surface area. One binary, 14 native language bindings, 143 providers. - **Compiled Rust core.** No `pip install` supply chain. No `.pth` auto-execution hooks. No runtime dependency tree to compromise. The kind of [supply chain attack that hit litellm](https://www.xda-developers.com/popular-python-library-backdoor-machine/) in 2026 is structurally impossible here. - **Secrets stay secret.** API keys are wrapped in [`secrecy::SecretString`](https://docs.rs/secrecy/) -- zeroed on drop, redacted in logs, never serialized. - **Polyglot from day one.** Python, TypeScript, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WebAssembly -- all thin wrappers around the same Rust core, plus a C/FFI surface for everything else. No reimplementation drift. - **Observability built in.** Production-grade [OpenTelemetry](https://opentelemetry.io/) with GenAI semantic conventions -- not an afterthought callback system. - **Composable middleware.** Rate limiting, caching, cost tracking, health checks, and fallback as [Tower](https://docs.rs/tower/) layers you stack like building blocks. We give credit to [litellm](https://github.com/BerriAI/litellm) for proving the category -- our provider registry was bootstrapped from theirs. See [ATTRIBUTIONS.md](ATTRIBUTIONS.md). Feature Comparison ------------------ [](#feature-comparison) An honest look at where things stand. We're newer and leaner -- litellm has breadth we haven't matched yet, and we have depth they can't easily retrofit. liter-llmlitellm**Language**Rust (compiled, memory-safe)Python**Bindings**14 native (Rust, Python, TS, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WASM) + C/FFIPython (+ OpenAI-compatible proxy)**Providers**143 (compiled at build time)100+ (runtime resolution)**Streaming**SSE + AWS EventStream binary protocolSSE + AWS EventStream**Observability**Built-in OpenTelemetry (GenAI semconv)40+ callback integrations**API key safety**`secrecy::SecretString` (zeroed, redacted)Plain strings**Middleware**Composable Tower stackBuilt-in callback system**Proxy / Gateway**Yes (22 OpenAI-compatible endpoints, 35MB Docker)Yes**Guardrails**--10+ integrations, 4 execution modes (advanced: enterprise)**Semantic caching**--Redis + Qdrant backends**Virtual key mgmt**Yes (per-key model restrictions, RPM/TPM, budgets)Yes (key rotation: enterprise)**Management API**Config-driven (REST admin API planned)Multi-tenant (teams, budgets, keys; tiers + reporting: enterprise)**Fine-tuning API**--Enterprise only**Load balancer**Fallback + round-robin via Tower routerFull router with strategies**Cost tracking**Embedded pricing + OTEL spansPer-key/team/model budgets**Rate limiting**Per-model RPM/TPM (Tower layer)Per-key/user/team/model**Caching**In-memory LRU + 40+ backends via OpenDAL (S3, Redis, GCS, DynamoDB, disk, ...)7 backends (Redis, S3, GCS, disk, Qdrant)**Tool calling**Parallel tools, structured output, JSON schemaFull support**Embeddings**YesYes**Batch API**YesYes**Audio / Speech**YesYes**Lifecycle hooks**onRequest/onResponse/onError per-clientCallback integrations**Budget enforcement**Per-model + global limits, hard/soft modesPer-key/team budgets**Health checks**Automatic provider probes + cooldown--**Custom providers**Runtime API + TOML config fileConfig + code-based**Config files**TOML with auto-discovery (`liter-llm.toml`)YAML proxy config**Search / OCR**12 search + 4 OCR providersYes**Image generation**YesYesKey Features ------------ [](#key-features) - **143 providers** -- OpenAI, Anthropic, Google, AWS Bedrock, Groq, Mistral, Together AI, Fireworks, Perplexity, DeepSeek, Cohere, and [130+ more](schemas/providers.json) - **14 native bindings** -- Rust, Python, TypeScript/Node.js, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WebAssembly (plus a C/FFI surface shared across them) - **First-class streaming** -- SSE and AWS EventStream binary protocol with zero-copy buffers - **TOML configuration** -- `liter-llm.toml` with auto-discovery, custom providers, cache backends, middleware config - **OpenTelemetry** -- GenAI semantic conventions, cost tracking spans, HTTP-level tracing - **Tower middleware** -- Rate limiting, caching (40+ OpenDAL backends), cost tracking, budget enforcement, health checks, cooldowns, hooks, fallback -- all composable - **Search & OCR** -- Web search across 12 providers, document OCR across 4 providers - **Tool calling** -- Parallel tools, structured outputs, JSON schema validation - **Embeddings** -- Dimension selection, base64 format, multi-provider support - **Per-request routing** -- Automatic provider detection from model name prefix, custom provider registration at runtime - **Schema-driven** -- Provider registry and API types compiled from JSON schemas, no runtime lookups - **Local LLM support** — Run models locally with Ollama, LM Studio, vLLM, llama.cpp, LocalAI, and llamafile via OpenAI-compatible APIs Proxy Server & CLI ---------------------- [](#proxy-server--cli) Drop-in replacement for litellm's proxy -- 22 OpenAI-compatible endpoints. Install the `liter-llm` CLI (which ships both the proxy server and the MCP tool server) one of three ways: ``` # Homebrew (macOS / Linux) # Homebrew 6.0+ requires explicit trust for third-party taps. brew trust kreuzberg-dev/tap brew install kreuzberg-dev/tap/liter-llm # Pre-built binary (Linux x86_64/arm64, macOS arm64, Windows x86_64) curl -L https://github.com/kreuzberg-dev/liter-llm/releases/latest/download/liter-llm-${VERSION}-${TARGET}.tar.gz | tar xz # Docker (35MB image) docker run -p 4000:4000 -e LITER_LLM_MASTER_KEY=sk-your-key ghcr.io/kreuzberg-dev/liter-llm ``` Then call it like OpenAI: ``` curl http://localhost:4000/v1/chat/completions \ -H "Authorization: Bearer sk-your-key" \ -d '{"model": "openai/gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}' ``` Or with a TOML config file: ``` # liter-llm-proxy.toml [general] master_key = "${LITER_LLM_MASTER_KEY}" [[models]] name = "gpt-4o" provider_model = "openai/gpt-4o" api_key = "${OPENAI_API_KEY}" [[models]] name = "claude-sonnet" provider_model = "anthropic/claude-sonnet-4-20250514" api_key = "${ANTHROPIC_API_KEY}" [[keys]] key = "sk-team-a" models = ["gpt-4o"] rpm = 100 ``` **CLI:** ``` liter-llm api --config liter-llm-proxy.toml # Start proxy server liter-llm mcp --transport stdio # Start MCP tool server ``` **Features:** Model routing, virtual API keys, per-key rate limiting (RPM/TPM), cost tracking, budget enforcement, response caching, SSE streaming, OpenAPI 3.1 spec at `/openapi.json`, MCP server with 22 tools, graceful shutdown. Architecture ------------ [](#architecture) ``` liter-llm/ ├── crates/ │ ├── liter-llm/ # Rust core library │ ├── liter-llm-py/ # Python (PyO3) core │ ├── liter-llm-node/ # Node.js (NAPI-RS) core │ ├── liter-llm-ffi/ # C-compatible FFI layer │ ├── liter-llm-php/ # PHP (ext-php-rs) core │ └── liter-llm-wasm/ # WebAssembly (wasm-bindgen) core ├── packages/ │ ├── python/ # Python package │ ├── typescript/ # TypeScript/Node.js package │ ├── go/ # Go (cgo) module │ ├── java/ # Java (Panama FFI) package │ ├── ruby/ # Ruby (Magnus) gem │ ├── elixir/ # Elixir (Rustler NIF) package │ ├── csharp/ # .NET (P/Invoke) package │ └── php/ # PHP (Composer) package └── schemas/ # Provider registry and API schemas ``` Quick Start ----------- [](#quick-start) Install in your language of choice: LanguageInstallPython`pip install liter-llm`Node.js`pnpm add @kreuzberg/liter-llm-node`Rust`cargo add liter-llm`Go`go get github.com/kreuzberg-dev/liter-llm/packages/go`Java`dev.kreuzberg.literllm:liter-llm` (Maven/Gradle)Ruby`gem install liter_llm`PHP`composer require kreuzberg-dev/liter-llm`C#`dotnet add package LiterLlm`Elixir`{:liter_llm, "~> 1.6.0"}` in mix.exsDart / Flutter`dart pub add liter_llm`SwiftSee [Swift package](packages/swift/README.md) -- `.binaryTarget` from release notesKotlin (Android)`dev.kreuzberg:liter-llm-android` (Maven Central)ZigSee [Zig package](packages/zig/README.md)WASM`pnpm add @kreuzberg/liter-llm-wasm`C/FFIBuild from source -- see [FFI crate](crates/liter-llm-ffi)### Usage [](#usage) ``` import asyncio import os from liter_llm import create_client from liter_llm._internal_bindings import ChatCompletionRequest async def main(): client = create_client(api_key=os.environ["OPENAI_API_KEY"]) # Chat with any provider using the provider/model prefix request = ChatCompletionRequest.from_json( '{"model":"openai/gpt-4o","messages":[{"role":"user","content":"Hello!"}]}' ) response = await client.chat(request) print(response.choices[0].message.content) # Switch providers by changing the prefix -- no other code changes request = ChatCompletionRequest.from_json( '{"model":"anthropic/claude-sonnet-4-20250514","messages":[{"role":"user","content":"Hello!"}]}' ) response = await client.chat(request) print(response.choices[0].message.content) asyncio.run(main()) ``` Or use a `liter-llm.toml` config file instead of passing everything in code: ``` api_key = "sk-..." timeout_secs = 120 [cache] max_entries = 512 ttl_seconds = 600 backend = "redis" backend_config = { connection_string = "redis://localhost:6379" } [budget] global_limit = 50.0 enforcement = "hard" [[providers]] name = "my-provider" base_url = "https://my-llm.example.com/v1" model_prefixes = ["my-provider/"] ``` The same API is available in all 14 languages -- see the language READMEs below for idiomatic examples. Core API -------- [](#core-api) All bindings expose a unified `chat()` function: LanguageUsageRust`client.chat(request).await`Python`await client.chat(request)`Node.js`await client.chat(request)`Go`client.Chat(request)`Java`client.chat(request)`Ruby`client.chat_async(request)`Elixir`LiterLlm.defaultclient_chat_async(client, request)`PHP`LiterLlm::createClient($apiKey)->chat($request)`C#`await client.ChatAsync(request)`WASM`await client.chat(request)`C FFI`literllm_default_client_chat(client, request)`Language READMEs ---------------- [](#language-readmes) LanguageREADMEBindingPython[packages/python](packages/python/README.md)PyO3TypeScript / Node.js[crates/liter-llm-node](crates/liter-llm-node/README.md)NAPI-RSGo[packages/go](packages/go/README.md)cgoJava[packages/java](packages/java/README.md)Panama FFIRuby[packages/ruby](packages/ruby/README.md)MagnusElixir[packages/elixir](packages/elixir/README.md)Rustler NIFPHP[packages/php](packages/php/README.md)ext-php-rs.NET (C#)[packages/csharp](packages/csharp/README.md)P/InvokeWebAssembly[crates/liter-llm-wasm](crates/liter-llm-wasm/README.md)wasm-bindgenC/C++ (FFI)[crates/liter-llm-ffi](crates/liter-llm-ffi)C ABIPart of Kreuzberg.dev --------------------- [](#part-of-kreuzbergdev) - [Kreuzberg](https://github.com/kreuzberg-dev/kreuzberg) — document intelligence: text, tables, metadata from 91+ formats with optional OCR. - [Kreuzberg Cloud](https://github.com/kreuzberg-dev/kreuzberg-cloud) — managed extraction API with SDKs, dashboards, and observability. - [kreuzcrawl](https://github.com/kreuzberg-dev/kreuzcrawl) — web crawling and scraping with HTML→Markdown and headless-Chrome fallback. - [html-to-markdown](https://github.com/kreuzberg-dev/html-to-markdown) — fast, lossless HTML→Markdown engine. - [liter-llm](https://github.com/kreuzberg-dev/liter-llm) — universal LLM API client with native bindings for 14 languages and 143 providers. - [tree-sitter-language-pack](https://github.com/kreuzberg-dev/tree-sitter-language-pack) — tree-sitter grammars and code-intelligence primitives. - [alef](https://github.com/kreuzberg-dev/alef) — the polyglot binding generator that produces every per-language binding across the 5 polyglot repos. - [Discord](https://discord.gg/xt9WY3GnKR) — community, roadmap, announcements. Contributing ------------ [](#contributing) Contributions are welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. Join our [Discord community](https://discord.gg/xt9WY3GnKR) for questions and discussion. License ------- [](#license) MIT -- see [LICENSE](LICENSE) for details. ### Health Score 53 — FairBetter than 96% of packages Maintenance94 Actively maintained with recent releases Popularity27 Limited adoption so far Community19 Small or concentrated contributor base Maturity63 Established project with proven stability Bus Factor1 Top contributor holds 88.1% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~1 days Total 63 Last Release 28d ago PHP version history (2 changes)1.0.0-rc.1PHP ^8.2 v1.4.0-rc.31PHP >=8.2 ### Community Maintainers ![](https://avatars.githubusercontent.com/u/30733348?v=4)[Na'aman Hirschfeld](/maintainers/Goldziher)[@Goldziher](https://github.com/Goldziher) --- Top Contributors [![Goldziher](https://avatars.githubusercontent.com/u/30733348?v=4)](https://github.com/Goldziher "Goldziher (992 commits)")[![github-actions[bot]](https://avatars.githubusercontent.com/in/15368?v=4)](https://github.com/github-actions[bot] "github-actions[bot] (66 commits)")[![dependabot[bot]](https://avatars.githubusercontent.com/in/29110?v=4)](https://github.com/dependabot[bot] "dependabot[bot] (51 commits)")[![kreuzberg-dev-publisher[bot]](https://avatars.githubusercontent.com/u/241328462?v=4)](https://github.com/kreuzberg-dev-publisher[bot] "kreuzberg-dev-publisher[bot] (9 commits)")[![kh3rld](https://avatars.githubusercontent.com/u/171191586?v=4)](https://github.com/kh3rld "kh3rld (3 commits)")[![pratik-mahalle](https://avatars.githubusercontent.com/u/124587957?v=4)](https://github.com/pratik-mahalle "pratik-mahalle (2 commits)")[![v-tan](https://avatars.githubusercontent.com/u/22367932?v=4)](https://github.com/v-tan "v-tan (2 commits)")[![oschick](https://avatars.githubusercontent.com/u/12664356?v=4)](https://github.com/oschick "oschick (1 commits)") --- Tags anthropicapi-clientllmmachine-learningopenaipolyglotpythonruststreamingtypescriptperformancestreamingopenaiphp8llmanthropicllm clientrusttool-callingprovider-routing ### Code Quality TestsPHPUnit Static AnalysisPHPStan Code StylePHP CS Fixer Type Coverage Yes ### Embed Badge ![Health badge](/badges/kreuzberg-liter-llm/health.svg) ``` [![Health](https://phpackages.com/badges/kreuzberg-liter-llm/health.svg)](https://phpackages.com/packages/kreuzberg-liter-llm) ``` ### Alternatives [theodo-group/llphant LLPhant is a library to help you build Generative AI applications. 1.7k371.6k6](/packages/theodo-group-llphant)[mozex/anthropic-laravel Laravel integration for the Anthropic API: facade, config publishing, install command, testing fakes, messages, streaming, tool use, thinking, and batches. 72287.1k1](/packages/mozex-anthropic-laravel)[mozex/anthropic-php PHP client for the Anthropic API: messages, streaming, tool use, thinking, web search, code execution, batches, and more. 47480.9k16](/packages/mozex-anthropic-php)[deepseek-php/deepseek-php-client deepseek PHP client is a robust and community-driven PHP client library for seamless integration with the Deepseek API, offering efficient access to advanced AI and data processing capabilities. 46784.5k5](/packages/deepseek-php-deepseek-php-client)[alle-ai/anthropic-api-php The go-to PHP library for the Anthropic API — Messages, streaming, tool use, vision, prompt caching, extended thinking, MCP, Files, Batches. 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