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2 changes: 1 addition & 1 deletion changelog/2025-11-19-aws-bedrock/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ description: AWS Bedrock is now natively supported as an AI provider in Windmill
features:
[
'AWS Bedrock now available as a native AI provider',
'Simple configuration with AWS region and API key',
'Simple configuration with AWS region and API key or IAM credentials',
'Access to all Bedrock-supported models'
]
docs: /docs/core_concepts/ai_generation/#models
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11 changes: 11 additions & 0 deletions changelog/2026-02-11-bedrock-auth-modes/index.md
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@@ -0,0 +1,11 @@
---
slug: bedrock-auth-modes
title: AWS Bedrock session token and IAM auth support
tags: ['AI', 'AI Chat', 'AI agents']
description: AWS Bedrock now supports IAM credentials, temporary session tokens, and environment credential fallback in addition to API key authentication.
features:
- IAM access key and secret key authentication for Bedrock
- Session token support for temporary AWS STS credentials
- Environment credential fallback using worker AWS environment variables
docs: /docs/core_concepts/ai_generation/#models
---
6 changes: 5 additions & 1 deletion docs/core_concepts/22_ai_generation/index.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -236,7 +236,11 @@ Windmill AI supports:
- OpenRouter's [models](https://openrouter.ai/models)
- Together AI's [models](https://docs.together.ai/docs/serverless-models)
- AWS Bedrock's [models](https://aws.amazon.com/bedrock/)
- Required configuration: AWS region and long term API key
- Required configuration: AWS region and one of the following authentication methods:
- API key (bearer token)
- IAM credentials (access key ID and secret access key)
- IAM credentials with session token (for temporary [AWS STS](https://docs.aws.amazon.com/STS/latest/APIReference/welcome.html) credentials)
- Environment credentials fallback (uses `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and optionally `AWS_SESSION_TOKEN` from the worker environment)
- Custom AI: base URL and API key of any AI provider that is OpenAI API-compatible
- For Ollama and other local models, select "Custom AI" and provide your Ollama server URL (e.g., `http://localhost:11434/v1` for local Ollama or your custom endpoint)

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