#Amazon Bedrock

Articles about Amazon Bedrock — exploring patterns, best practices, and real-world implementations in production systems.

8 posts tagged with amazon bedrock. ← All posts

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Pratik Dhanave · ·13 min read

Bedrock in Production: IAM, Cost, and Observability

Taking an Amazon Bedrock Go service from a working prototype to something you can run on-call — least-privilege IAM, credentials without static keys, tuning the SDK's built-in retryer, tracking token cost, and wiring up logging and metrics with aws-sdk-go-v2.

Taking a Bedrock Go service to production: least-privilege IAM and role-based credentials, tuning the SDK's built-in retryer for throttling, token-based cost tracking, and observability via model-invocation logging, structured metrics, and request IDs.

#Amazon Bedrock#AWS#Production#Go#AI Engineering#Backend Engineering#Observability
Pratik Dhanave · ·12 min read

Guardrails and Safety

How to put Amazon Bedrock Guardrails in front of a model from Go — attaching one to a Converse call, screening raw text with ApplyGuardrail, and reading whether the guardrail actually intervened.

Guardrails for Amazon Bedrock in Go: content filters, denied topics, PII/sensitive-information filters, and contextual grounding — attaching a guardrail to a Converse call and screening arbitrary text with ApplyGuardrail, checking for intervention.

#Amazon Bedrock#AWS#AI Safety#Go#AI Engineering#Backend Engineering#Guardrails
Pratik Dhanave · ·13 min read

Bedrock Agents

How to invoke a managed Agent for Amazon Bedrock from Go — where the server owns the reason-act loop, and your job is to call InvokeAgent, range the event stream, accumulate the answer chunks, and read the trace for observability.

Agents for Amazon Bedrock from Go: the managed reason-act loop that runs server-side (vs the DIY Converse loop), invoking an agent alias with InvokeAgent, streaming the response and trace events, and keeping multi-turn state with a SessionId.

#Amazon Bedrock#AWS#AI Agents#Go#AI Engineering#Backend Engineering#Streaming
Pratik Dhanave · ·10 min read

Retrieval-Augmented Generation with Knowledge Bases

How to query a Knowledge Base for Amazon Bedrock from Go — the managed retrieve-then-read layer — using both the low-level Retrieve call and the one-shot RetrieveAndGenerate, with citations wired through.

RAG on Bedrock in Go with Knowledge Bases: the retrieve-then-read pattern via Retrieve, the one-shot managed path via RetrieveAndGenerate with citations, and when to reach for each — plus reading grounding so you keep RAG's trust benefit.

#Amazon Bedrock#AWS#RAG#Go#AI Engineering#Backend Engineering
Pratik Dhanave · ·12 min read

Tool Use with the Converse API

How to give an Amazon Bedrock model real Go functions — declaring tools, catching the tool-use stop reason, executing your code, and returning results — using the full round-trip loop in aws-sdk-go-v2.

Giving a Bedrock model tools in Go via the Converse API: declaring a ToolConfiguration, the ToolUse round-trip loop, echoing ToolUseId, returning tool results as a user message, and handling parallel tool calls.

#Amazon Bedrock#AWS#Tool Use#Go#AI Engineering#Backend Engineering#APIs
Pratik Dhanave · ·9 min read

Streaming and Token Usage

How to stream Amazon Bedrock responses token-by-token with the aws-sdk-go-v2 Converse API, decode the event stream with a double type-switch, and account for tokens and cost from the metadata event — accurately, in Go.

Streaming responses and accounting for tokens and cost on Bedrock in Go: ranging the ConverseStream event stream, the nested delta unions, checking stream.Err(), and computing cost from the metadata usage event with a formula you fill in.

#Amazon Bedrock#AWS#LLMs#Go#AI Engineering#Backend Engineering#Streaming
Pratik Dhanave · ·11 min read

Calling a Model with the Converse API

Your first real inference call in Go against Amazon Bedrock — using the unified, model-agnostic Converse API and the AWS SDK for Go v2, from client construction to reading tokens back off the response.

Your first real inference call on Bedrock in Go via the unified Converse API: building the client, the ConverseInput message/content-block union, extracting the assistant text, and reading stop reason and token usage — with the content-block union explained.

#Amazon Bedrock#AWS#LLMs#Go#AI Engineering#Backend Engineering#APIs
Pratik Dhanave · ·9 min read

What Amazon Bedrock Is

The opener for a Go series on building LLM and agent applications with Amazon Bedrock — what the service actually is, why it sits between your Go code and a dozen foundation models, and which aws-sdk-go-v2 packages you will lean on for the rest of the way.

The opener to a series on building LLM and agent applications on Amazon Bedrock in Go: what Bedrock actually is, what it adds over calling a provider API directly (one API across models, IAM auth, data residency), and the aws-sdk-go-v2 packages you'll use.

#Amazon Bedrock#AWS#LLMs#Go#AI Engineering#Backend Engineering#APIs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.