# LLM API

```json
{
  "name": "LLM API",
  "slug": "llm_api",
  "url": "https://composio.dev/toolkits/llm_api",
  "markdown_url": "https://composio.dev/toolkits/llm_api.md",
  "logo_url": "https://logos.composio.dev/api/llm_api",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-11-01T07:20:22.117Z"
}
```

![LLM API logo](https://logos.composio.dev/api/llm_api)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with LLM API MCP or direct API to generate text, create embeddings, process images and audio, and run batch workloads through natural language.

## Summary

LLM API is a unified inference service for text, embeddings, images, audio, video, files, and batch workloads across AI providers.
It gives teams one consistent API for accessing multiple models and media capabilities.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 12

## Images

- Logo: https://logos.composio.dev/api/llm_api

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for LLM API.
  - Setup:
    - Configure Api Key credentials for LLM API.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Generate embeddings for product descriptions
- Create an image from a product brief
- Transcribe an uploaded customer call

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LLM_API_CANCEL_BATCH` | Cancel Batch | Request best-effort cancellation of an in-progress batch. Return the provider's actual batch state without implying cancellation took effect; work may still finish and incur charges before the request is applied. |
| `LLM_API_COUNT_ANTHROPIC_MESSAGE_TOKENS` | Count Anthropic Message Tokens | Count input tokens for an Anthropic-compatible message request without generating a model response. |
| `LLM_API_CREATE_ANTHROPIC_MESSAGE` | Create Anthropic Message | Generate one complete, non-streaming Anthropic-compatible message with flexible content blocks, system prompts, and tool use with your own connection. Instant supports the Claude models listed in its pricing, with plain-text messages and a plain-text system prompt; tools, content blocks and other models are rejected before provider execution. |
| `LLM_API_CREATE_CHAT_COMPLETION` | Create Chat Completion | Generate a complete, non-streaming OpenAI-compatible chat response. Instant supports only the models listed in its pricing, with plain-text messages: no tools, multimodal content, web search, or reasoning-effort overrides. Unsupported Instant requests are rejected before provider execution. With your own connection, use models and capabilities supported by your provider project. |
| `LLM_API_CREATE_EMBEDDINGS` | Create Embeddings | Create vector embeddings for one text or a batch of texts with a selected embedding model. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_CREATE_RESPONSE` | Create Response | Generate one complete, non-streaming OpenAI Responses-compatible result from text or structured input, preserving reasoning and tool items. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_DELETE_FILE` | Delete File | Permanently delete a caller-owned or explicitly authorized project file. This destructive operation cannot be undone; a missing file fails with not found rather than reporting a successful deletion. |
| `LLM_API_DISCOVER_MODELS` | Discover Models | Return one model's full live capabilities by ID, or browse a compact, bounded view of the live model catalog using local capability filters. |
| `LLM_API_GET_ACCOUNT_AND_CREDITS` | Get Account and Credits | Return the connected user, project, organization, purchased and bonus credit balances, funding mode, and balance gating in one account-status read. |
| `LLM_API_LIST_OR_GET_BATCHES` | List or Get Batches | Return one asynchronous batch and its latest lifecycle, token, and cost status by ID, or one provider-default page of project batches when no batch ID is supplied. List mode supports provider cursor pagination. |
| `LLM_API_LIST_OR_GET_FILES` | List or Get Files | Return metadata for one project file by ID, or one provider-default page of project file metadata when no file ID is supplied. List mode supports purpose filtering and provider cursor pagination. |
| `LLM_API_SUBMIT_BATCH` | Submit Batch | Create an asynchronous batch from an existing purpose=batch file ID, or upload a JSONL input file with purpose=batch and create the batch in one call. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to LLM API
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["llm_api"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["llm_api"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run LLM API tools with your agent

Send a request, execute the LLM API tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Generate an embedding for the text: 'Composio connects AI agents to business tools.'"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Generate an embedding for the text: 'Composio connects AI agents to business tools.'" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to LLM API and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["llm_api"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["llm_api"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a LLM API request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to LLM API tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Generate an embedding for the text: 'Composio connects AI agents to business tools.'")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Generate an embedding for the text: 'Composio connects AI agents to business tools.'",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native LLM API Integration

- Supports both LLM API MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for text, embeddings, images, audio, video, files, and batch workloads

### 2. Managed Auth

- Secure API key handling without hard-coding credentials in your agent
- Central place to manage, scope, and revoke LLM API access
- Per user and per environment credentials for safer deployments

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access LLM API
- Scoped, least privilege access to LLM API resources
- Full audit trail of agent actions to support review and compliance

## Use LLM API with any AI Agent Framework

Choose a framework you want to connect LLM API with:

- [ChatGPT](https://composio.dev/toolkits/llm_api/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/llm_api/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/llm_api/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/llm_api/framework/atomic-agent)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Black Forest Labs](https://composio.dev/toolkits/bfl) - Black Forest Labs provides hosted FLUX models for generating and editing images and videos. It offers fast, flexible media creation with asynchronous processing and fine-tuning support.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.

## Frequently Asked Questions

### Do I need my own developer credentials to use LLM API with Composio?

Yes, LLM API requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)