amazon bedrock console · the 2026 walkthrough

The Amazon Bedrock console: a 2026 walkthrough.

The Bedrock console is where you pick models, try them in the Playgrounds, run evaluations, and build Knowledge Bases, Agents, Guardrails and Flows without serving code. Here is every panel, what it does, what you can ship click-only, and when to switch to the API.

playgrounds
chat, text, image
builders
4
serves production traffic
no (use the API)
TL;DR
  • The Amazon Bedrock console (console.aws.amazon.com/bedrock) is the web UI for Bedrock. You use it to browse the model catalog, try models in the Playgrounds, run evaluations, build Knowledge Bases, Agents, Guardrails and Flows, manage prompts and custom models, and reach billing.
  • In commercial Regions AWS now enables many models by default, so you can open a model from the catalog and try it right away. Third-party models subscribe through AWS Marketplace on first use, and Anthropic models need a one-time use-case form.
  • Prototype and configure in the console; serve and automate through the API (Converse, SDKs) and infrastructure as code. Console use is billed like any other Bedrock use.
orientation

IWhat the Bedrock console is, and what it is not

The console is the AWS Management Console surface for Amazon Bedrock. Every click maps to a Bedrock API action, which makes it a good way to learn the service.

Amazon Bedrock is a managed, multi-model inference service: one API for Claude, Llama, Mistral, Amazon Nova, Cohere, Stability AI, AI21, DeepSeek and others, with no GPUs to run (overview at Amazon Bedrock). The console is the control panel: try models, configure the managed building blocks (RAG, agents, safety, orchestration), and inspect costs.

The console is good at setup, exploration and configuration. Comparing two models on a prompt, pointing a Knowledge Base at a folder, drafting a Guardrail or running a small evaluation is faster by clicking, and each action is an auditable AWS call.

It is not your production runtime. The console produces resources (a Knowledge Base ID, an Agent alias, a Guardrail ID, a Flow) that your code then calls through the API. Section VIII draws that line.

the first thing to check

IIIModel access and the model catalog

Older guides say Bedrock starts with every model switched off. That changed. In commercial Regions AWS now enables access to many models by default.

How model access works now

Per the AWS model access guide, you can pick a model in the catalog and open it in a playground, or call it through the API, without a separate request step. The first call to a third-party model starts its AWS Marketplace subscription in the background, so the person or role making it needs aws-marketplace:Subscribe (plus Unsubscribe and ViewSubscriptions) and a valid payment method. After that, others can call it without Marketplace permissions.

Anthropic models need a one-time use-case form per account (or once at the organization's management account). Submit it by selecting an Anthropic model in the catalog. Access usually follows quickly, but it can sit in a pending state; AWS emails you when it is ready. Some models also need extra account-level access from AWS. AWS GovCloud still uses a Model access page.

To restrict which models people can use, deny bedrock:InvokeModel for those model ARNs with IAM or an SCP. Denying Marketplace subscribe alone does not block the first call.

Browsing the model catalog

The model catalog lists every model by provider with its modality (text, chat, vision, image, video, embeddings), context window, features and a pointer to pricing. It is where you confirm a model's exact model ID for API calls. Availability differs by Region.

a common first-time gotcha

An AccessDeniedException on first use usually means missing Marketplace permissions, an Anthropic use-case form that is not yet processed, or a Region where the model is not offered. It is rarely a bug.

try before you build

IVThe Playgrounds: chat, text and image/video

The Playgrounds let you prompt a model in the browser, adjust parameters and compare models. Every call is billed per token.

The Chat / Text Playground takes a prompt (and optional system prompt) and lets you tune temperature, top-p, max tokens and stop sequences. Its most useful feature is compare mode: send one prompt to two models and read the answers, latency and token use side by side.

The Image / Video Playground does the same for media models (Amazon Nova Canvas, Stability, Amazon Nova Reel): prompt, size, variants, seed and style.

Most Playgrounds can show the API request behind your session. Prototype the prompt and parameters by hand, then copy the request into your code.

the four managed builders

VThe builders: Knowledge Bases, Agents, Guardrails and Flows

Each builder has a guided setup in the console. You configure a real resource, test it in place, and get an ID your app calls.

The builders compose: a typical assistant is a Knowledge Base for grounding, wrapped in a Guardrail, exposed through an Agent, and maybe orchestrated by a Flow. All of it can be configured and tested before you write a serving loop.

  • Knowledge Bases: Point at a data source (often S3), pick an embeddings model and a vector store, then sync. Bedrock chunks, embeds and indexes the documents. Test it in the console and see answers with citations. Your app calls RetrieveAndGenerate or Retrieve. See Bedrock Knowledge Bases.
  • Agents: Write instructions, pick a model, and define action groups backed by Lambda or an OpenAPI schema. Optionally attach a Knowledge Base and a Guardrail. Test in the console and watch the trace. Your app calls InvokeAgent on an alias. See Amazon Bedrock Agents.
  • Guardrails: Set content filters, denied topics, word filters, PII handling and grounding checks. Version the policy and apply its ID to model calls, Agents or Knowledge Bases. See Bedrock Guardrails.
  • Flows: A canvas where you wire prompts, models, Knowledge Bases, Agents and logic into a versioned workflow. Your app calls InvokeFlow on an alias. See Bedrock Flows.
supporting panels

VIEvaluations, Prompt Management and custom models

Three panels turn a prototype into something you can measure, reuse and specialize.

Evaluations

Create a job that scores one or more models on your dataset. Use automatic metrics (accuracy, robustness, toxicity), model-as-judge scoring, or human review by your team or an AWS-managed workforce. It replaces "this model feels better" with measured results on your tasks.

Prompt Management

Author a prompt with variables, test it, and save it as a versioned resource that Flows, Agents or your code reference by ID. Prompt changes become tracked and reviewable.

Custom and imported models

Launch fine-tuning or distillation jobs on training data in S3, or import compatible weights. These incur training, storage and serving costs beyond plain inference. See Bedrock fine-tuning and Custom Model Import.

cost and access

VIIBilling, IAM and governance

Who can do what (IAM) and what it costs (Billing) govern everything you click.

Cost: Bedrock charges flow into standard AWS billing. Use Cost Explorer, filter to Amazon Bedrock, and group by usage type or model. Console activity is billable: Playground prompts, evaluation jobs and Knowledge Base syncs and queries all consume tokens or resources. A long afternoon comparing frontier models adds up.

Access: each console action is a Bedrock API call governed by IAM. A teammate who sees errors or empty panels usually lacks permissions such as bedrock:ListFoundationModels, the invoke actions, or the builder actions. First use of a third-party model also needs Marketplace permissions.

Two settings to turn on early: model invocation logging (request and response payloads to S3 or CloudWatch) and, at organization level, SCPs that deny invoking models you have not approved.

the decision that matters most

VIIIConsole vs API: what you can do click-only, and when to switch

If a person does it once, use the console. If software does it repeatedly, use the API.

Trying and comparing models, building and testing a Knowledge Base, Agent, Guardrail or Flow, running an evaluation, drafting prompts and starting a fine-tune all fit the console. Serving user traffic, batch jobs, CI/CD and infrastructure as code belong in the API and IaC.

For the API itself see the Bedrock API reference. For cost levers at volume see Bedrock pricing, prompt caching and batch inference.

amazon bedrock: console vs API, which tool for which job
TaskConsoleAPI / SDK / IaCWhy
Try a model, compare modelsYes (Playgrounds)OptionalInteractive exploration
Submit the Anthropic use-case formYes (model catalog)Also via PutUseCaseForModelAccessOne-time per account or organization
Run a model evaluationYesAlso API-launchableSet up by hand, automate if repeated
Build and test a Knowledge BaseYesQuery via RetrieveAndGenerateConfigure by clicking, query from your app
Build and test an AgentYesInvoke via InvokeAgentDefine by clicking, call at run time
Configure a GuardrailYesApply via guardrailIdentifierAuthor once, enforce on every call
Serve a chatbot to usersNoYes (Converse API)Production traffic runs in your app
High-volume or batch jobsNoYes (batch inference API)Throughput and batch pricing are API features
Version and deploy as codeNoYes (CloudFormation, CDK, Terraform)Repeatable infrastructure
who can fund the build

IXWho can fund the move from console prototype to production

Console experiments and production traffic both draw down AWS credits automatically.

Partner-filed funding: a vetted AWS partner can file POC (proof of concept) funding to take a prototype to a working pilot, MAP funding if you are moving from another cloud, or incremental workload (IW) funding if you already run on AWS and this is new work. For startups this is typically $50K to $150K. Depends on the workload; AWS approves.

AWS Activate: you apply yourself. Activate Founders gives self-funded startups $1,000 to start, up to $5,000. Activate Portfolio gives up to $200,000 with the Org ID from your VC, accelerator or angel group, if it is an Activate Provider. A consulting partner cannot file Activate for you.

CloudRoute matches you with one vetted AWS partner who can turn the console prototype into a governed production app and check which funding fits. Startups pay CloudRoute nothing. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.

Who files it
FundingWho files itAmountWhen it fits
Migration Acceleration Program (MAP)Your matched AWS partner$50K to $150K for startups. Depends on the workload; AWS approves.You are not on AWS yet and want to migrate.
Proof of concept (POC) fundingYour matched AWS partner$50K to $150K for startups. Depends on the workload; AWS approves.You want to test something, whether or not you are on AWS today.
Incremental workload (IW) fundingYour matched AWS partner$50K to $150K for startups. Depends on the workload; AWS approves.You are already on AWS and are launching new work: a new AI feature, a new customer or a new contract.
AWS Activate FoundersFounder applies$1,000 to start, up to $5,000Self-funded startups with no investor or accelerator behind them.
AWS Activate PortfolioFounder appliesup to $200,000Startups backed by a VC firm, accelerator or angel investor that is an AWS Activate Provider.
AWS Credits for AI StartupsInvite only (AWS account manager)$200,000 or more, by invitationAI startups ready to scale after Activate Portfolio, invited by AWS.
Facts checked on October 10, 2026. AWS decides every application.
where each surface fits

Console vs API vs Flows vs IaC

There are four ways to work with Bedrock, and mature teams use all four.

SurfaceBest forStrengthsLimitsTypical user
Bedrock consoleSetup, exploration, one-off tasksFast to learn; visual; auditableNot for production traffic or automationAnyone evaluating or configuring Bedrock
Converse API / SDKInference inside your appFull control; one schema across modelsYou maintain the integrationApp engineers
FlowsChaining multi-step GenAI logicNo orchestration code; versionedLess flexible than codeBuilders who want orchestration without glue code
IaC (CloudFormation, CDK, Terraform)Repeatable, reviewed deploymentsVersion-controlled and reproducibleMore upfront effortPlatform and DevOps teams
A common path: explore in the Playground, build a Knowledge Base and Guardrail by clicking, call them from app code, then codify the stack in CDK or Terraform.
experimenting in the console?
Find a partner who can take the prototype to production and check POC or IW funding for it
Get matched free with a vetted AWS partner who can file it
how a match works

How a match works (example)

  1. You tell us about the work

    You fill in a short form: what you run today, what you want to move, test or build, your stage and your region.

  2. We pick one partner

    We read your answers and pick one vetted AWS consulting partner that fits the work, the stack and the region. We reply within 24 hours; your matched partner reaches out within 5 business days.

  3. The partner checks POC funding

    Your matched partner scopes the test with you. Then it checks whether the test qualifies for POC (proof of concept) funding. A POC can fit whether or not you run on AWS today.

  4. The partner files, AWS decides

    If the work qualifies, the partner files the funding request with AWS. AWS reviews it and decides. The amount depends on the workload.

  5. You pay nothing

    CloudRoute is free for startups. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.

AWS Activate credits are separate, and you apply for them yourself. Use Activate Founders if no investor backs you. Use Activate Portfolio with the Org ID or invite from your VC, accelerator, incubator or angel group if it is an Activate Provider. A consulting partner cannot apply for Activate on your behalf.

faq

Common questions

What is the Amazon Bedrock console and where do I find it?
The web UI for Amazon Bedrock inside the AWS Management Console, at console.aws.amazon.com/bedrock. You browse models, try them in the Playgrounds, run evaluations, and build Knowledge Bases, Agents, Guardrails and Flows. It sits on the same APIs your code calls.
Do I still need to request model access in the Bedrock console?
In commercial Regions, usually not. AWS now enables access to many models by default. The first call to a third-party model subscribes through AWS Marketplace, which needs Marketplace permissions. Anthropic models need a one-time use-case form, submitted from the model catalog. Some models need extra account-level access, and AWS GovCloud still uses a Model access page.
Why do I get AccessDeniedException when I try a model?
The usual causes: your role lacks Bedrock or Marketplace permissions, the Anthropic use-case form is not yet processed, or the model is not offered in your Region. Fix the IAM policy, submit the form, or switch Region.
What can I do in the Bedrock console without writing code?
Try and compare models, generate images and video, run evaluations, build and test a Knowledge Base, configure a Guardrail, draft and test an Agent, chain steps in a Flow, and manage prompts. You can prototype a full grounded assistant click-only. Serving production traffic needs the API.
What are the Bedrock Playgrounds?
Interactive try-it panels. The Chat/Text Playground prompts chat and text models, tunes parameters and compares two models side by side. The Image/Video Playground does the same for media models. Most can show the equivalent API request. Calls are billed per token.
When should I switch from the Bedrock console to the API?
When software will do the work repeatedly: serving users, batch jobs, automation, CI/CD and infrastructure as code. Configure resources in the console, then call their IDs from code.
Does using the Bedrock console cost money?
Opening it is free; using it is not. Playground prompts, evaluation jobs, Knowledge Base syncs and queries, and fine-tuning runs are billed at normal rates. Track Bedrock spend in AWS Cost Explorer.
Can AWS funding cover taking a Bedrock prototype to production?
Yes, if the work qualifies. A vetted AWS partner can file POC funding for a pilot, MAP funding for a move from another cloud, or IW funding for new work if you already run on AWS. For startups this is typically $50K to $150K. Depends on the workload; AWS approves. Activate credits are separate, and you apply for them yourself.

Prototype in the console, then build with a partner who can file the funding

A vetted AWS partner can turn your console prototype into a governed production app (Converse integration, versioned resources, infrastructure as code) and check whether it qualifies for POC, MAP or IW funding: typically $50K to $150K for startups. Depends on the workload; AWS approves. CloudRoute is free for startups.

we reply within24 hours
partner-filed funding$50K to $150K
CloudRoute fee for startups$0