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Model and Region Notes

Akash Das edited this page Sep 1, 2026 · 1 revision

Model & Region Notes

Community notes on what is actually available where, and what changed.

⚠️ This page is deliberately not in the repository. Model and region availability changes monthly; a versioned file would be wrong within a quarter and quietly mislead people. Here it can be corrected the moment somebody notices.

AWS is authoritative, not this page. Always verify with the commands below before relying on anything written here.


Verify it yourself — always start here

# models you can call in a region
aws bedrock list-foundation-models --region us-east-1 \
  --query 'modelSummaries[].modelId' --output table

# inference profile IDs — these are what you pass as modelId
aws bedrock list-inference-profiles --region us-east-1 \
  --query 'inferenceProfileSummaries[].[inferenceProfileId,status]' --output table

An empty list is a permissions state, not an outage — model access has not been granted in that region.


The rules that do not change

These are stable even as the model list churns, which is why they are worth writing down:

  1. Access is per model, per region, on request. Not automatic, and approval is not always instant.
  2. Many models require an inference profile ID, not the bare model ID. The profile carries a geography prefix — us., eu., and others.
  3. A geographic profile routes across several regions, and you need model access in every destination — not just the one you call from. This is why access failures can look intermittent.
  4. Feature availability lags model availability. A region having a model does not mean it has Knowledge Bases, Guardrails or AgentCore.
  5. us-east-1 has the widest support. This curriculum is developed against it. Elsewhere, verify before starting a module.

Region notes

Region Notes Last checked By
us-east-1 Curriculum baseline. Widest model and feature coverage — maintainer
us-west-2 Generally good coverage; verify AgentCore before Module 11 — —
eu-* Model set differs; eu. profile prefix. Verify per module — —
ap-* Verify before starting. Feature gaps more likely — —

Add a row when you verify one. Region, what worked, what did not, and the date — the date is the important column.


Feature availability, by module

Before starting a module in a non-baseline region, check the thing it actually needs:

Module Needs Check
02 Bedrock Converse API, a chat model list-foundation-models
02 / 04 Knowledge Bases, Guardrails Console — feature presence varies
03 Bedrock Agents Bedrock Agents + Lambda Console
10 Retrieval OpenSearch Serverless, an embedding model aws opensearchserverless list-collections
11 AgentCore AgentCore — not available everywhere Console

Model choice, when the list changes under you

The model selection cheat sheet is deliberately written to survive this: choose on four dimensions (capability, latency, context, cost ceiling), record what you rejected and why, and re-decide on a stated trigger.

The one number worth carrying between models: cost per resolved task, not cost per token. A cheaper model needing two extra turns is not cheaper.


Changes worth recording

When something changes in a way that breaks material here, note it — and open an issue so the repo can be fixed.

Date What changed Affects Reported by
— — — —

AWS behaviour changing is the single highest-value thing to report here. Nothing degrades teaching material faster.

🗺️ Navigate

🏠 Wiki Home

▶ Start

▶ Start here · 55 lessons, on the site ↗

  1. Getting started · 2
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  3. Methods decoded · 7
  4. Running delivery · 13
  5. By role · 9
  6. Teams and organisation · 4
  7. Practice · 4
  8. Interviews and careers · 7

📗 Method and reference

The method
The Agentic PDLC
The Eight Loops
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The journey · end to end
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DevOps & platform

The method · by role
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DevOps and platform
Sponsor

How to
Run an NFR workshop
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Build, buy or borrow
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Where do I find…?


📚 Course and labs

The course companion · Labs

The 16 modules
  1. Agentic Foundations
  2. LLM Intuition and the AWS Bridge
  3. Amazon Bedrock Essentials
  4. Amazon Bedrock Agents
  5. Agent Builder, Knowledge Bases and Guardrails
  6. The Agent Loop: No Framework to Strands
  7. Strands Foundations: Tools, Memory and MCP
  8. Multi-Agent Patterns with Strands
  9. LangChain and LangGraph
  10. LLM Memory Mechanics
  11. RAG, OpenSearch and LiteLLM
  12. Amazon Bedrock AgentCore
  13. A2A and A2UI: Agent Interoperability
  14. Agentic QA and Evaluation
  15. End-to-End Production Pipeline
  16. Agentic Product Lifecycle

Learning paths · Field guide
Study Plans


🎓 Cohort kit

Cohort Kit · Session template

Eight sessions
  1. Kick-off
  2. Frame and spec
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  4. Methods decoded
  5. Plan and review
  6. Prove and ship
  7. Govern and scale
  8. Practice and roles

💬 Community and maintenance

Living notes
Error Index
Community Answers
Field Notes
Model & Region Notes
Cost Log
Scoreboard 🧪

The project
Roadmap
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📦 Elsewhere

📘 The manual · live
🛫 Ninety Days, the simulator
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👔 For leadership
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