Intermediate11 min
AWS Bedrock
Running LangChain agents on AWS Bedrock: setup, model access, IAM configuration, and production deployment with provisioned throughput.
Quick Reference
- →Install langchain-aws and use ChatBedrock as a drop-in replacement for ChatAnthropic or ChatOpenAI
- →Configure IAM roles with bedrock:InvokeModel and bedrock:InvokeModelWithResponseStream permissions
- →Request model access in the AWS Console before first use — not all models are enabled by default
- →Use provisioned throughput for predictable latency and guaranteed capacity in production workloads
- →Bedrock supports Claude, Llama, Mistral, and others — swap models without changing application code
Why AWS Bedrock
AWS-native LLM access
Bedrock provides AWS-native access to foundation models (Claude, Llama, Mistral) with IAM security, VPC isolation, CloudWatch monitoring, and consolidated AWS billing. No API keys to manage — authentication is IAM.
- ▸Data never leaves your AWS account — requests are processed within the AWS network, no external API calls
- ▸SOC2, HIPAA, and PCI compliance inherited from your AWS environment — no separate compliance process
- ▸Provisioned throughput gives guaranteed capacity with predictable latency — no shared rate limits
- ▸IAM policies govern model access — control which teams, services, and environments can use which models
- ▸Consolidated billing — LLM costs appear on your existing AWS bill alongside compute, storage, and networking