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SambaNova inference APIs are compatible with the Anthropic client libraries, so existing Anthropic-based applications can target SambaNova with minimal changes.

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Download the library

pip install anthropic

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Use SambaNova APIs with the Anthropic client library

Configure the Anthropic client to use SambaNova by setting base_url and api_key.
Don’t have a SambaNova API key? Get one from the API keys page.
import anthropic

client = anthropic.Anthropic(
    base_url="https://api.sambanova.ai/v1",
    api_key="your-sambanova-api-key"
)
You also need to set model to a SambaNova model identifier when calling the API (see the supported models page). Alternatively, set the environment variables: 
export ANTHROPIC_BASE_URL="https://api.sambanova.ai/v1"
export ANTHROPIC_API_KEY="your-sambanova-api-key"

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Messages API

SambaNova exposes a POST /v1/messages endpoint compatible with the Anthropic Messages API standard, in addition to the Chat Completions and Responses endpoints. For full request/response details, examples for tool calling, streaming, thinking, and multi-turn conversations, see the Messages API page.

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Count tokens

SambaNova also exposes a POST /v1/messages/count_tokens endpoint compatible with the Anthropic token-counting API. Use it to estimate the token cost of a request before sending it. 
response = client.messages.count_tokens(
    model="gpt-oss-120b",
    system="You are a helpful assistant.",
    messages=[
        {"role": "user", "content": "What is the weather like in Paris?"}
    ]
)

print(response.input_tokens)
For the full parameter list, see the API reference.