Strengths
- Text, image and video input
- 300K-token context
- Tool use
- Prompt caching
Best For
- Document and visual Q&A
- Video understanding
- Agents that stay inside AWS
Run It in EDDI
The fastest route is the Manager: open the agent wizard or the Platform Operator and pick the provider and model. To configure it yourself, follow these steps for the provider you want.
Amazon Bedrock · type: "bedrock"
Model ids: amazon.nova-pro-v1:0, amazon.nova-lite-v1:0
1. Store the credential
This provider does not use an API key: Amazon Bedrock authenticates through the AWS credential chain: environment variables, an IAM role, or ~/.aws/credentials.
2. Configure the LLM task
Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.
{
"tasks": [
{
"actions": [
"send_message"
],
"id": "chat",
"type": "bedrock",
"parameters": {
"modelId": "amazon.nova-pro-v1:0",
"region": "us-east-1",
"maxTokens": "16384",
"systemMessage": "You are a helpful assistant",
"addToOutput": "true"
}
}
]
}Related Models
Sources
The facts on this page come from the vendor's documentation, checked on 2026-09-30. Models change quickly, so confirm limits with the vendor before you rely on them. Prices are not listed here: see the vendor's pricing page.