LLM API provides a unified inference API for text, embeddings, images, audio, video, files, and batch workloads across multiple AI providers.

Use it from your agent

One ClawLink account serves every agent you run. Pick the guide for yours, or connect LLM API once and call the same tools from all of them.

Setup

Connect LLM API through ClawLink's hosted setup.

Auth: Paste one API key. The credential stays on the ClawLink server; your agent holds only a ClawLink key you can revoke.
Where: the ClawLink dashboard, or ask your agent to connect it.

LLM API exposes 12 tools through ClawLink. The 11 most used are listed here; your agent sees all of them.

Tool	What it does	Kind
`llm_api_count_anthropic_message_tokens`	Count input tokens for an Anthropic-compatible message request without generating a model	Read
`llm_api_discover_models`	Return one model's full live capabilities by ID, or browse a compact, bounded view of the live	Read
`llm_api_get_account_and_credits`	Return the connected user, project, organization, purchased and bonus credit balances, funding	Read
`llm_api_list_or_get_batches`	Return one asynchronous batch and its latest lifecycle, token, and cost status by ID, or one	Read
`llm_api_list_or_get_files`	Return metadata for one project file by ID, or one provider-default page of project file	Read
`llm_api_cancel_batch`	Request best-effort cancellation of an in-progress batch	Write
`llm_api_create_anthropic_message`	Generate one complete, non-streaming Anthropic-compatible message with flexible content blocks	Write
`llm_api_create_chat_completion`	Generate a complete, non-streaming OpenAI-compatible chat response	Write
`llm_api_create_embeddings`	Create vector embeddings for one text or a batch of texts with a selected embedding model	Write
`llm_api_create_response`	Generate one complete, non-streaming OpenAI Responses-compatible result from text or structured	Write
`llm_api_submit_batch`	Create an asynchronous batch for chat completions or responses from an existing purpose=batch	Read