4. Copy the credentials from Step 2 into the respective **Access Key ID**, **Secret Access Key**, and **Region** fields.

#### Cross-Region Inference

The Zed implementation of Amazon Bedrock uses [Cross-Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html) for all the models and region combinations that support it.
With Cross-Region inference, you can distribute traffic across multiple AWS Regions, enabling higher throughput.

For example, if you use `Claude Sonnet 3.7 Thinking` from `us-east-1`, it may be processed across the US regions, namely: `us-east-1`, `us-east-2`, or `us-west-2`.
Cross-Region inference requests are kept within the AWS Regions that are part of the geography where the data originally resides.
For example, a request made within the US is kept within the AWS Regions in the US.

Although the data remains stored only in the source Region, your input prompts and output results might move outside of your source Region during cross-Region inference.
All data will be transmitted encrypted across Amazon's secure network.

We will support Cross-Region inference for each of the models on a best-effort basis, please refer to the [Cross-Region Inference method Code](https://github.com/zed-industries/zed/blob/main/crates/bedrock/src/models.rs#L297).

For the most up-to-date supported regions and models, refer to the [Supported Models and Regions for Cross Region inference](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles-support.html).

### Anthropic {#anthropic}

> ✅ Supports tool use

You can use Anthropic models by choosing it via the model dropdown in the Agent Panel.

1. Sign up for Anthropic and [create an API key](https://console.anthropic.com/settings/keys)
2. Make sure that your Anthropic account has credits
3. Open the settings view (`agent: open configuration`) and go to the Anthropic section
4. Enter your Anthropic API key

Even if you pay for Claude Pro, you will still have to [pay for additional credits](https://console.anthropic.com/settings/plans) to use it via the API.

Zed will also use the `ANTHROPIC_API_KEY` environment variable if it's defined.

#### Custom Models {#anthropic-custom-models}

You can add custom models to the Anthropic provider by adding the following to your Zed `settings.json`:

```json
{
  "language_models": {
    "anthropic": {
      "available_models": [
        {
          "name": "claude-3-5-sonnet-20240620",
          "display_name": "Sonnet 2024-June",
          "max_tokens": 128000,
          "max_output_tokens": 2560,
          "cache_configuration": {
            "max_cache_anchors": 10,
            "min_total_token": 10000,
            "should_speculate": false
          },
          "tool_override": "some-model-that-supports-toolcalling"
        }
      ]
    }
  }
}
```

Custom models will be listed in the model dropdown in the Agent Panel.

You can configure a model to use [extended thinking](https://docs.anthropic.com/en/docs/about-claude/models/extended-thinking-models) (if it supports it) by changing the mode in your model's configuration to `thinking`, for example:

```json
{
  "name": "claude-sonnet-4-latest",
  "display_name": "claude-sonnet-4-thinking",
  "max_tokens": 200000,
  "mode": {
    "type": "thinking",
    "budget_tokens": 4_096
  }
}
```

### DeepSeek {#deepseek}

> ✅ Supports tool use

1. Visit the DeepSeek platform and [create an API key](https://platform.deepseek.com/api_keys)
2. Open the settings view (`agent: open configuration`) and go to the DeepSeek section
3. Enter your DeepSeek API key

The DeepSeek API key will be saved in your keychain.

Zed will also use the `DEEPSEEK_API_KEY` environment variable if it's defined.

#### Custom Models {#deepseek-custom-models}

The Zed Assistant comes pre-configured to use the latest version for common models (DeepSeek Chat, DeepSeek Reasoner). If you wish to use alternate models or customize the API endpoint, you can do so by adding the following to your Zed `settings.json`: