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Documentation Index

Fetch the complete documentation index at: https://ngrok.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Anthropic provides Claude models. The AI Gateway supports Anthropic as a managed provider—no Anthropic account needed—and also works with your own Anthropic API key. Anthropic models can be called using either the OpenAI-compatible API (chat completions format) or the native Anthropic API (messages format). Both are supported.

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Managed keys setup

No Anthropic account needed. Follow the quickstart to create your gateway and API key, then point your SDK at the gateway: 
from openai import OpenAI

client = OpenAI(
    base_url="https://your-ai-gateway.ngrok.app/v1",
    api_key="ng-xxxxx-g1-xxxxx"  # Your AI Gateway API Key
)

response = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

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Attach your own key

Attach your Anthropic key to your AI Gateway API Key. ngrok encrypts and stores it server-side, so clients only ever send your AI Gateway API Key.
1

Get an Anthropic API key

Create an account at console.anthropic.com and generate an API key. Keys start with sk-ant-.
2

Attach the key

ngrok api ai-gateway-provider-keys create \
  --ai-gateway-api-key-id aigk_xxxxx \
  --provider-id anthropic \
  --description "My Anthropic Key" \
  --value sk-ant-...
3

Make a request

Use your AI Gateway API Key—the gateway resolves the Anthropic key server-side.
from openai import OpenAI

client = OpenAI(
    base_url="https://your-ai-gateway.ngrok.app/v1",
    api_key="ng-xxxxx-g1-xxxxx"  # Your AI Gateway API Key
)

response = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
See Attaching Provider Keys for key rotation, listing, and removing attached keys.

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Explicit provider routing

Use the anthropic: prefix to force routing to Anthropic specifically: 
response = client.chat.completions.create(
    model="anthropic:claude-opus-4-6",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Available models

See the model catalog for the full list of supported Claude models.

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Next steps