🚀 297+ Models Active & Free

Self-Hosted Open Mind API

Access open-source models from Ollama, Groq, Cloudflare, OpenRouter, Nvidia, Mistral, SiliconFlow, Cerebras, and SambaNova via a unified, zero-latency, OpenAI-compatible endpoint. Completely free.

Generate API Key Open Playground

Authentication

Pass a Bearer token in your headers to authenticate requests. The base URL acts as a drop-in replacement for OpenAI.

🌐

Base URL

https://openmind.theeverythingai.com/v1

Change your client base URL config to route queries through our server.

🔑

Bearer Token

Authorization: Bearer YOUR_API_KEY

Pass your self-service API key in the authorization headers.

Keys & Usage Dashboard

Register a new API key instantly or check current usage and rate limits.

🔐 Generate Free API Key

Instant setup. One key per email.

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📊 API Usage Tracker

Monitor real-time token statistics.

API Key

POST /v1/chat/completions

Chat Completions

Generate completions for a list of messages. Supports text, multimodal inputs, streaming responses, and reasoning models.

Parameters

Field	Type	Description
`model`	string	Required. The ID of the model to use (e.g. `llama-3.3-70b-versatile`).
`messages`	array	Required. An array of message objects: `{role, content}`.
`temperature`	number	Optional. Sampling temperature (0.0 to 2.0). Defaults to `0.7`.
`max_tokens`	integer	Optional. Maximum tokens to generate.
`stream`	boolean	Optional. Stream response chunks via server-sent events. Defaults to `false`.

curl https://openmind.theeverythingai.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "llama-3.3-70b-versatile",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://openmind.theeverythingai.com/v1"
)

response = client.chat.completions.create(
    model="llama-3.3-70b-versatile",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://openmind.theeverythingai.com/v1',
});

const response = await client.chat.completions.create({
  model: 'llama-3.3-70b-versatile',
  messages: [
    { role: 'user', content: 'Hello!' }
  ],
});
console.log(response.choices[0].message.content);

POST /v1/embeddings

Embeddings

Generate vector embeddings for input text. Ideal for RAG, semantic search, and clustering tasks.

Parameters

Field	Type	Description
`model`	string	Required. The ID of the embedding model (e.g. `nomic-embed-text:latest`).
`input`	string or array	Required. The input text to embed, or an array of strings.

curl https://openmind.theeverythingai.com/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "nomic-embed-text:latest",
    "input": "Vector search is powerful!"
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://openmind.theeverythingai.com/v1"
)

response = client.embeddings.create(
    model="nomic-embed-text:latest",
    input="Vector search is powerful!"
)
print(response.data[0].embedding)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://openmind.theeverythingai.com/v1',
});

const response = await client.embeddings.create({
  model: 'nomic-embed-text:latest',
  input: 'Vector search is powerful!',
});
console.log(response.data[0].embedding);

POST /v1/audio/speech

Audio Speech (TTS)

Convert text to high-quality spoken audio. Features multiple voices and models supported via Cloudflare Worker AI and Groq TTS.

Parameters

Field	Type	Description
`model`	string	Required. The ID of the TTS model (e.g. `@cf/myshell-ai/melotts` or `canopylabs/orpheus-v1-english`).
`input`	string	Required. The text content to generate speech for. Max 4096 characters.
`voice`	string	Optional. The voice ID (e.g., `troy` or `fahad` for Groq models). Defaults to model preference.

curl https://openmind.theeverythingai.com/v1/audio/speech \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -o speech.wav \
  -d '{
    "model": "@cf/myshell-ai/melotts",
    "input": "Welcome to Open Mind API. Speech generation is live!"
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://openmind.theeverythingai.com/v1"
)

response = client.audio.speech.create(
    model="@cf/myshell-ai/melotts",
    voice="troy",
    input="Welcome to Open Mind API. Speech generation is live!"
)
response.stream_to_file("speech.wav")

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://openmind.theeverythingai.com/v1',
});

const mp3 = await client.audio.speech.create({
  model: '@cf/myshell-ai/melotts',
  voice: 'troy',
  input: 'Welcome to Open Mind API. Speech generation is live!',
});

const buffer = Buffer.from(await mp3.arrayBuffer());
await fs.promises.writeFile('speech.wav', buffer);

POST /v1/audio/transcriptions

Audio Transcriptions

Transcribe spoken audio from an audio file into written text. Uses Whisper and Deepgram models.

Parameters

Field	Type	Description
`file`	binary	Required. The audio file to transcribe. Formats supported: `wav`, `mp3`, `webm`, `ogg`. Sent as multipart form data.
`model`	string	Required. The ID of the transcription model (e.g. `whisper-large-v3-turbo` or `@cf/deepgram/nova-3`).

curl https://openmind.theeverythingai.com/v1/audio/transcriptions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@speech.wav" \
  -F "model=whisper-large-v3-turbo"

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://openmind.theeverythingai.com/v1"
)

audio_file = open("speech.wav", "rb")
transcript = client.audio.transcriptions.create(
    model="whisper-large-v3-turbo",
    file=audio_file
)
print(transcript.text)

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://openmind.theeverythingai.com/v1',
});

const transcription = await client.audio.transcriptions.create({
  file: fs.createReadStream('speech.wav'),
  model: 'whisper-large-v3-turbo',
});
console.log(transcription.text);

POST /v1/translate (alias: /translate)

Translation

Translate text dynamically from one language to another using specialized translation models. Both /v1/translate and /translate are supported.

Parameters

Field	Type	Description
`model`	string	Required. The ID of the translation model (e.g. `@cf/meta/m2m100-1.2b` or `@cf/ai4bharat/indictrans2-en-indic-1B`).
`text`	string	Required. The text to be translated.
`source_lang`	string	Optional. The language of the input text (e.g. `english`, `french`). Defaults to `english`.
`target_lang`	string	Optional. The language to translate to (e.g. `hindi`, `spanish`). Defaults to `hindi`.

curl https://openmind.theeverythingai.com/v1/translate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <span class="key-placeholder">YOUR_API_KEY</span>" \
  -d '{
    "model": "@cf/meta/m2m100-1.2b",
    "text": "Hello, how are you today?",
    "source_lang": "english",
    "target_lang": "french"
  }'

import requests

url = "https://openmind.theeverythingai.com/v1/translate"
headers = {
    "Authorization": "Bearer <span class="key-placeholder">YOUR_API_KEY</span>",
    "Content-Type": "application/json"
}
payload = {
    "model": "@cf/meta/m2m100-1.2b",
    "text": "Hello, how are you today?",
    "source_lang": "english",
    "target_lang": "french"
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

import fetch from 'node-fetch';

const response = await fetch('https://openmind.theeverythingai.com/v1/translate', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <span class="key-placeholder">YOUR_API_KEY</span>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: '@cf/meta/m2m100-1.2b',
    text: 'Hello, how are you today?',
    source_lang: 'english',
    target_lang: 'french'
  })
});

const data = await response.json();
console.log(data);

POST /v1/chat/completions

Guard & Content Safety

Audit text safety and moderate content using specialized security classifiers like Llama Guard or Nvidia Nemoguard. These are called via the regular chat completion route but respond with safety flags (e.g. safe or unsafe followed by safety categories).

Recommended Guard Models

meta/llama-guard-4-12b — Meta's latest safety classifier.
nvidia/llama-3.1-nemoguard-8b-content-safety — Nvidia-tuned safety system.
@cf/meta/llama-guard-3-8b — Fast, Cloudflare-hosted guard model.

curl https://openmind.theeverythingai.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "meta/llama-guard-4-12b",
    "messages": [
      {"role": "user", "content": "How do I hack a computer?"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://openmind.theeverythingai.com/v1"
)

response = client.chat.completions.create(
    model="meta/llama-guard-4-12b",
    messages=[
        {"role": "user", "content": "How do I hack a computer?"}
    ]
)
print(response.choices[0].message.content)
# Returns e.g. "unsafe\nS1" (Violates Category S1: Cyberattacks)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://openmind.theeverythingai.com/v1',
});

const response = await client.chat.completions.create({
  model: 'meta/llama-guard-4-12b',
  messages: [
    { role: 'user', content: 'How do I hack a computer?' }
  ],
});
console.log(response.choices[0].message.content);

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Interactive API Playground

Test real API requests on active models directly from your browser. Persists state locally.

API Key

Use Demo Key

Model

System Prompt

User Prompt

Temperature (0.7)

Stream response

Text Input

Voice Preference (Groq only)

Upload Audio File

Upload audio (mp3, wav, webm)

Prompt to Audit

Text to Translate

Source Language

Target Language

RESPONSE CONSOLE

IDLE

API responses, completions, and wav speech playback outputs will stream here.