About AWS Bedrock

AWS Bedrock is a fully managed AWS service that gives you access to 100+ foundation models from leading AI providers, including Anthropic Claude, Meta Llama, Mistral, and more, through a single OpenAI-compatible API.

Bedrock uses pay-as-you-go pricing with no monthly fees or minimum commitments, and requests run inside your own AWS account. Long-term API keys work with any OpenAI-compatible client, and you can monitor usage in the AWS console.

Step by step guide to use AWS Bedrock API Key to chat with AI

I. Get Your AWS Bedrock API Key

First, you'll need to obtain an API key from AWS Bedrock. This key allows you to access their AI models directly and pay only for what you use.

  1. Go to aws.amazon.com and create an AWS account if you don't have one. Amazon Bedrock gives you access to serverless foundation models in your AWS Region without enabling each model manually.

  2. Open the AWS Bedrock console and go to API keys.

    AWS Bedrock API keys console

  3. Click Generate API key and choose a long-term key. Long-term keys are valid from 1 day up to 365 days (or never expire) and are linked to an IAM user. Short-term keys expire after 12 hours and use AWS Signature V4, so they don't suit a chat app.

  4. Set an expiration, then copy and save the key. You won't be able to see it again.

    Generate long-term API keys on AWS Bedrock

Sometimes, this provider will require you to add a payment method to your account before you can use your API key to chat with AI. So, to avoid any hiccups, make sure you've got a payment method set up and ready to go!

Important: Keep your API key secure and never share it publicly. Store it safely as you'll need it to connect with TypingMind.

II. Connect Your AWS Bedrock API Key on TypingMind

Once you have your AWS Bedrock API key, connecting it to TypingMind to chat with AI is straightforward:

  1. Open the Models page

    Open TypingMind, click "Models" in the left sidebar, then click "Add custom model" in the top right corner.

    TypingMind Models page with the Add custom model button

  2. Enter the model details

    Keep "Create Manually" selected and fill in the model details:

    Name: anthropic.claude-opus-4-6-v1 via AWS Bedrock (or your preferred name)
    Model ID: anthropic.claude-opus-4-6-v1 for example (check AWS Bedrock model list)
    Context Length: Enter the model's context window (e.g., 1000000 for anthropic.claude-opus-4-6-v1)
    Add Custom Model dialog in TypingMind filled in for anthropic.claude-opus-4-6-v1

  3. Set up authentication

    In the "Authentication" tab, set the connection details:

    API Type: OpenAI Chat Completions API
    Endpoint URL: https://bedrock-mantle.<AWS_REGION>.api.aws/v1/chat/completions

    Example: https://bedrock-mantle.us-east-1.api.aws/v1/chat/completions

    Authentication Type: API Key via HTTP Header
    Header Key: Authorization
    Header Value: Bearer <AWS_BEDROCK_API_KEY>
    AWS Bedrock authentication settings in TypingMind

  4. Add pricing (optional)

    Open the "Pricing" tab and enter the model's input, output, and cache prices per 1M tokens so TypingMind can estimate your usage costs.

    Pricing settings in TypingMind for anthropic.claude-opus-4-6-v1

  5. Check the capabilities

    In the "Capabilities" tab, keep "Auto check capabilities on save" on so TypingMind detects supported features like plugins, image input, and thinking, or enable them manually.

    Custom model capabilities settings in TypingMind

  6. Test and save

    Click "Test & Save" to verify the connection and add the model.

III. Start Chatting with AWS Bedrock models

Now you can start chatting with AWS Bedrock models through TypingMind:

  • Select AWS Bedrock models from the model dropdown menu
  • Start typing your message in the chat input
  • Enjoy faster responses and better features than the official interface
  • Switch between different AI models as needed
Chat with AWS Bedrock models on TypingMind

💡 Pro tips for better results:

IV. Monitor Your AI Usage and Costs

One of the biggest advantages of using API keys with TypingMind is cost transparency and control. Unlike fixed subscriptions, you pay only for what you actually use. Visit your AWS Bedrock usage dashboard to monitor your API usage and set spending limits.

💡 Cost-saving tips:
  • Use less expensive models for simple tasks
  • Keep prompts concise but specific to reduce token usage
  • Use TypingMind's prompt caching to reduce repeat costs (How to enable prompt caching)
  • Using RAG (retrieval-augmented generation) for large documents to reduce repeat costs (How to use RAG)
TypingMindAWS Bedrock

Why TypingMind + AWS Bedrock?

Chat with AWS Bedrock models and 200+ other models in one workspace, using your own AWS Bedrock API key.

Best-in-class UI

TypingMind's interface is far superior to standard chat UIs.

Model flexibility

Switch between AWS Bedrock models and 200+ models instantly.

Cost control

Pay only for what you use through AWS Bedrock.

One-time purchase

Buy TypingMind once, use forever with any AWS Bedrock model.

Data privacy

Your conversations are stored locally by default, not on external servers.

Plugins, MCP, Skills & AI agents

Extend AWS Bedrock models with web search, image generation, and custom AI agents.

Try TypingMind for free

Frequently Asked Questions

Do I need a subscription to use AWS Bedrock with TypingMind?

No. With your own AWS Bedrock API key, you pay only for what you use, with no monthly subscription. TypingMind is also a one-time purchase, not a subscription.

How much does the AWS Bedrock API cost?

AWS Bedrock charges per token, and prices vary by model. For example, anthropic.claude-opus-4-6-v1 costs $5.5/1M input tokens and $27.5/1M output tokens. A typical conversation costs around $0.01-0.10, depending on the model and length.

Which AWS Bedrock models can I use in TypingMind?

Any model your AWS Bedrock API key can access. You can switch between AWS Bedrock models and models from other providers in the same TypingMind chat.

Is my data private when using AWS Bedrock with TypingMind?

TypingMind stores your conversations locally (in your browser on the web version, on your device in the desktop app). Your messages are sent to AWS Bedrock with your API key, so check AWS Bedrock's data policy for how it handles API requests.