api
FreeUse liter-llm api reference documentation.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026
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mcp
Use liter-llm mcp reference documentation.
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SKILL.md (original)
Review the instructions the agent will receive before you install.
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liter-llm MCP Reference
Use this skill when integrating liter-llm through Model Context Protocol tools, prompts, or resources.
cancel_batch: Cancel an in-progress batch processing jobcancel_response: Cancel an in-progress response (Responses API)chat: Send a chat completion request to an LLMcreate_batch: Create a new batch processing jobcreate_file: Upload a file to the LLM providercreate_response: Create a new response (Responses API)delete_file: Delete an uploaded fileembed: Generate text embeddings for the given inputfile_content: Retrieve the raw content of an uploaded filegenerate_image: Generate images from a text promptlist_batches: List batch processing jobslist_files: List uploaded fileslist_models: List available models from configured providersmoderate: Check content against moderation policiesocr: Extract text from an image or document via OCRrerank: Rerank documents by relevance to a queryretrieve_batch: Retrieve a batch processing job by IDretrieve_file: Retrieve metadata for an uploaded fileretrieve_response: Retrieve a response by ID (Responses API)search: Perform a web or document searchspeech: Generate speech audio from text (text-to-speech)transcribe: Transcribe audio to text (speech-to-text)
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cli
FreeUse liter-llm cli reference documentation.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026
liter-llm
FreeUniversal LLM API client for 174 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, WASM, or C, when running the OpenAI-compatible proxy, or when calling LLMs through the MCP server. Covers chat, streaming, tool calling, embeddings, image generation, speech, transcription, moderation, web search, OCR, reranking, provider routing, middleware, and configuration.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026
Use when sending chat completions through liter-llm and routing to a specific provider via the `provider/model` prefix. Covers the chat call shape, provider routing, model_hint, message roles, and error categories.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026
Use when generating embeddings, calling the 12 web-search providers, or running OCR over documents with the 4 OCR providers through liter-llm. Covers embed, search, and ocr methods plus reranking.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026
Use when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML config and the 22 REST endpoints.
The English summary is being prepared. Showing the original description.
xberg-io/liter-llm263Updated Oct 26, 2026