Data residency

Manage where model inference runs and where data is stored with geographic controls.

Data residency controls let you manage where your data is processed and stored. Two independent settings govern this:

• Inference geo: Controls where model inference runs, on a per-request basis. Set through the inference_geo API parameter or as a workspace default.
• Workspace geo: Controls where data is stored at rest and where endpoint processing (such as image transcoding and code execution) happens. Configured at the workspace level in the Claude Console.

Inference geo

The inference_geo parameter controls where model inference runs for a specific API request. Add it to any POST /v1/messages call.

API usage

curl https://api.anthropic.com/v1/messages \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-opus-4-7",
        "max_tokens": 1024,
        "inference_geo": "us",
        "messages": [{
            "role": "user",
            "content": "Summarize the key points of this document."
        }]
    }'

ant messages create \
  --model claude-opus-4-7 \
  --max-tokens 1024 \
  --inference-geo us \
  --message '{role: user, content: "Summarize the key points of this document."}' \
  --transform '{content.0.text,usage.inference_geo}' --format yaml

import anthropic

client = anthropic.Anthropic()

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    inference_geo="us",
    messages=[
        {"role": "user", "content": "Summarize the key points of this document."}
    ],
)

print(response.content[0].text)
# Check where inference actually ran
print(f"Inference geo: {response.usage.inference_geo}")

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic();

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  inference_geo: "us",
  messages: [
    {
      role: "user",
      content: "Summarize the key points of this document."
    }
  ]
});

const textBlock = response.content.find(
  (block): block is Anthropic.TextBlock => block.type === "text"
);
console.log(textBlock?.text);
// Check where inference actually ran
console.log(`Inference geo: ${response.usage.inference_geo}`);

Response

The response usage object includes an inference_geo field indicating where inference ran:

{
  "usage": {
    "input_tokens": 25,
    "output_tokens": 150,
    "inference_geo": "us"
  }
}

Model availability

The inference_geo parameter is supported on Claude Opus 4.6, Claude Sonnet 4.6, and later models. Requests with inference_geo on Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, or earlier models return a 400 error.

Workspace-level restrictions

Workspace settings also support restricting which inference geos are available:

• allowed_inference_geos: Restricts which geos a workspace can use. If a request specifies an inference_geo not in this list, the API returns an error.
• default_inference_geo: Sets the fallback geo when inference_geo is omitted from a request. Individual requests can override this by setting inference_geo explicitly.

These settings can be configured through the Console or the Admin API under the data_residency field.

Workspace geo

Workspace geo is set when you create a workspace and can't be changed afterwards. Currently, "us" is the only available workspace geo.

To set workspace geo, create a new workspace in the Console:

1. Go to Settings > Workspaces.
2. Create a new workspace.
3. Select the workspace geo.

Pricing

Data residency pricing varies by model generation:

• Claude Opus 4.6, Claude Sonnet 4.6, and later: US-only inference (inference_geo: "us") is priced at 1.1x the standard rate across all token pricing categories (input tokens, output tokens, cache writes, and cache reads).
• Global routing (inference_geo: "global"): Standard pricing applies.
• Older models: Don't support inference_geo (see Model availability); standard pricing applies. Requests that include the parameter return a 400 error.

This pricing applies to the Claude API (first-party) and Claude Platform on AWS. Partner-operated platforms (Bedrock and Vertex AI) have their own regional pricing. See Data residency pricing for details.

Batch API support

The inference_geo parameter is supported on the Batch API. Each request in a batch can specify its own inference_geo value.

Migration from legacy opt-outs

If your organization previously opted out of global routing to keep inference in the US, your workspace has been automatically configured with allowed_inference_geos: ["us"] and default_inference_geo: "us". No code changes are required. Your existing data residency requirements continue to be enforced through the new geo controls.

What changed

The legacy opt-out was an organization-level setting that restricted all requests to US-based infrastructure. The new data residency controls replace this with two mechanisms:

• Per-request control: The inference_geo parameter lets you specify "us" or "global" on each API call, giving you request-level flexibility.
• Workspace controls: The default_inference_geo and allowed_inference_geos settings in the Console let you enforce geo policies across all keys in a workspace.

What happened to your workspace

Your workspace was migrated automatically:

All API requests using keys from your workspace continue to run on US-based infrastructure. No action is needed to maintain your current behavior.

If you want to use global routing

If your data residency requirements have changed and you want to take advantage of global routing for better performance and availability, update your workspace's inference geo settings to include "global" in the allowed geos and set default_inference_geo to "global". See Workspace-level restrictions for details.

Pricing impact

Legacy models are unaffected by this migration. For current pricing on newer models, see Pricing.

Current limitations

• Shared rate limits: Rate limits are shared across all geos.
• Inference geo: Only "us" and "global" are available.
• Workspace geo: Only "us" is currently available. Workspace geo can't be changed after workspace creation.

Next steps