Add Pydantic AI Durable Capability Example

[nvasiu]

Pydantic AI Durable Agent

A Pydantic AI agent as a Lambda durable function. Each model request and tool
call is checkpointed as a durable step.

• lambda_durability.py — the LambdaDurability capability.
• pydantic_ai_agent.py — the durable handler and agent.
• pydantic-ai-agent.zip — prebuilt deployment package (built for the Lambda
  python3.13 / x86_64 runtime).

Requires an execution role with durable execution and bedrock:InvokeModel
permissions, and Bedrock access for PYDANTIC_AI_MODEL
(default us.amazon.nova-micro-v1:0).

Deploy

aws lambda create-function \
  --function-name pydantic-ai-agent \
  --runtime python3.13 \
  --handler pydantic_ai_agent.handler \
  --role <ROLE_ARN> \
  --zip-file fileb://pydantic-ai-agent.zip \
  --timeout 300 --memory-size 1024 \
  --environment '{"Variables":{"PYDANTIC_AI_MODEL":"us.amazon.nova-micro-v1:0"}}' \
  --durable-config '{"ExecutionTimeout":3600,"RetentionPeriodInDays":7}' \
  --region us-east-1

aws lambda wait function-active --function-name pydantic-ai-agent --region us-east-1
aws lambda publish-version --function-name pydantic-ai-agent --region us-east-1

Invoke

aws lambda invoke \
  --function-name pydantic-ai-agent:1 \
  --invocation-type Event \
  --payload '{"prompt":"What is the weather in Vancouver?"}' \
  --region us-east-1 /dev/stdout

aws lambda get-durable-execution \
  --durable-execution-arn "<DurableExecutionArn>" --region us-east-1

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[zhongkechen]

Return value from handler may not be serializable.

[zhongkechen]

future will not be resolved if this call raises an exception.