Supported providers

1. Go to Agent Command Center > Providers in the Future AGI dashboard
2. Click Add Provider
3. Select the provider from the list
4. Enter your API key and any required settings
5. Click Save

from agentcc import AgentCC

client = AgentCC(
    api_key="sk-agentcc-your-key",
    base_url="https://gateway.futureagi.com",
    control_plane_url="https://api.futureagi.com",
)

client.org_configs.create(
    org_id="your-org-id",
    config={
        "providers": {
            "openai": {
                "api_key": "sk-your-openai-key",
                "api_format": "openai",
                "models": ["gpt-4o", "gpt-4o-mini"],
            },
            "anthropic": {
                "api_key": "sk-ant-your-key",
                "api_format": "anthropic",
            },
        }
    }
)

import { AgentCC } from "@futureagi/agentcc";

const client = new AgentCC({
    apiKey: "sk-agentcc-your-key",
    baseUrl: "https://gateway.futureagi.com",
    controlPlaneUrl: "https://api.futureagi.com",
});

await client.orgConfigs.create({
    orgId: "your-org-id",
    config: {
        providers: {
            openai: {
                api_key: "sk-your-openai-key",
                api_format: "openai",
                models: ["gpt-4o", "gpt-4o-mini"],
            },
            anthropic: {
                api_key: "sk-ant-your-key",
                api_format: "anthropic",
            },
        },
    },
});

from agentcc import AgentCC

client = AgentCC(
    api_key="sk-agentcc-your-key",
    base_url="https://gateway.futureagi.com",
)

# OpenAI
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}]
)

# Anthropic - same code, different model
response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Hello"}]
)

# Google Gemini
response = client.chat.completions.create(
    model="gemini-2.0-flash",
    messages=[{"role": "user", "content": "Hello"}]
)

from openai import OpenAI

# Works with the OpenAI SDK - just swap base_url and api_key
client = OpenAI(
    base_url="https://gateway.futureagi.com/v1",
    api_key="sk-agentcc-your-key",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}]
)

import litellm

response = litellm.completion(
    model="openai/gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
    api_key="sk-agentcc-your-key",
    base_url="https://gateway.futureagi.com/v1",
)

curl -X POST https://gateway.futureagi.com/v1/chat/completions \
  -H "Authorization: Bearer sk-agentcc-your-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

1. Go to Agent Command Center > Providers
2. Click Add Provider
3. Enter your model’s public endpoint URL
4. Enter the model name
5. Click Save

from agentcc import AgentCC

client = AgentCC(
    api_key="sk-agentcc-your-key",
    base_url="https://gateway.futureagi.com",
    control_plane_url="https://api.futureagi.com",
)

client.org_configs.create(
    org_id="your-org-id",
    config={
        "providers": {
            "ollama": {
                "base_url": "https://your-ollama.example.com",
                "api_format": "openai",
                "type": "ollama",
                # models auto-discovered from /v1/models
            },
            "vllm": {
                "base_url": "https://your-vllm.example.com",
                "api_format": "openai",
                "type": "vllm",
                "models": ["meta-llama/Llama-3.1-8B-Instruct"],
            },
        }
    }
)

import { AgentCC } from "@futureagi/agentcc";

const client = new AgentCC({
    apiKey: "sk-agentcc-your-key",
    baseUrl: "https://gateway.futureagi.com",
    controlPlaneUrl: "https://api.futureagi.com",
});

await client.orgConfigs.create({
    orgId: "your-org-id",
    config: {
        providers: {
            ollama: {
                base_url: "https://your-ollama.example.com",
                api_format: "openai",
                type: "ollama",
            },
            vllm: {
                base_url: "https://your-vllm.example.com",
                api_format: "openai",
                type: "vllm",
                models: ["meta-llama/Llama-3.1-8B-Instruct"],
            },
        },
    },
});