AWS Amazon Lex Model Building Service

Name: Amazon Lex Model Building Service API
Brand: Amazon Lex Model Building Service
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLLanguage Modelshmac42 Endpoints

Install Jentic One Beta

Connect the Amazon Lex Model Building Service to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Amazon Lex Model Building Service, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Amazon Lex Model Building Service API.

Design intents with utterances and slots via /intents/{name}/versions

Define and version custom slot types via /slottypes/{name}/versions

Create and update bots with /bots/{name}/versions

GET STARTED

Start building with Amazon Lex Model Building Service API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Amazon Lex Model Building Service API for, with concrete tasks.

★ Customer Support Chatbot Design

Build a customer support bot that recognises intents such as Refund, OrderStatus, and FAQ, with slots for order numbers and dates. The Lex Model Building Service stores intent utterances, slot types, and fulfilment configurations, then publishes immutable bot versions that can be promoted via aliases. Teams iterate on language without redeploying downstream Lambda fulfilment code.

Create an intent named 'OrderStatus' on bot 'support-bot' with utterances 'where is my order' and 'check order status' and slot orderNumber of type AMAZON.AlphaNumeric

Multi-Channel Bot Deployment

Publish a single bot to multiple channels - Facebook Messenger, Slack, and Twilio SMS - through bot channel associations. The /bots/{botName}/aliases/{aliasName}/channels endpoints record the channel credentials and routing, after which Lex handles message translation and lifecycle on each channel. This avoids writing per-channel adapters by hand.

Create a Slack channel association for bot 'support-bot' alias 'prod' with workspace and bot tokens stored in Secrets Manager

Bot Definition Backups and Migrations

Export bot definitions for version control or migration to a new account. The /exports endpoints serialise bot, intent, and slot type definitions to JSON or ZIP, while /imports reverses the process. The /migrations endpoints initiate a migration of a v1 bot to the v2 console, returning a migration ID that can be polled until completion.

Initiate a migration of bot 'support-bot' alias 'prod' from Lex v1 to Lex v2 using migration strategy CREATE_NEW

AI Agent Conversational Design Operations

AI agents call Lex Model Building through Jentic to author new intents when product features ship, retire stale slots, and migrate v1 bots to v2 in bulk. Through Jentic, the agent searches by intent, loads the operation schema, and executes with credentials kept in the vault. SigV4 signing happens inside Jentic so the agent runtime stays slim.

Search Jentic for 'create lex intent', load the PutIntent schema, and create intent 'CancelSubscription' with three sample utterances

Key Endpoints

42 endpoints — jentic publishes the only available openapi specification for amazon lex model building service, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

PUT

/bots/{name}/versions/$LATEST

Create or update a bot

POST

/bots/{name}/versions

Publish a new bot version

PUT

/intents/{name}/versions/$LATEST

Create or update an intent

PUT

/slottypes/{name}/versions/$LATEST

Create or update a slot type

POST

/bots/{botName}/aliases/{aliasName}/channels/{name}

Associate a channel with a bot alias

POST

/migrations

Start a v1 to v2 migration

PUT

/bots/{name}/versions/$LATEST

Create or update a bot

POST

/bots/{name}/versions

Publish a new bot version

PUT

/intents/{name}/versions/$LATEST

Create or update an intent

PUT

/slottypes/{name}/versions/$LATEST

Create or update a slot type

POST

/bots/{botName}/aliases/{aliasName}/channels/{name}

Associate a channel with a bot alias

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Your AWS access key and secret for Lex are stored once, encrypted, by your own Jentic One instance and signed with SigV4 at execution time. They never enter the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'create a lex chatbot intent' or 'publish a lex bot version', and Jentic returns the matching Lex Model Building operation with its input schema so the agent calls the right endpoint without reading the AWS reference.

Time to first call

FAQs

Specific to using Amazon Lex Model Building Service API through Jentic.

Why is there no official OpenAPI spec for Amazon Lex Model Building Service?

AWS does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Amazon Lex Model Building Service via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Lex Model Building API use?

The API uses AWS Signature Version 4 (SigV4) HMAC request signing scoped to the lex IAM service. Through Jentic, AWS credentials sit in the encrypted vault and signing happens at execution time so the agent never sees the raw secret.

Can I author chatbot intents with the Lex Model Building API?

Yes. PUT /intents/{name}/versions/$LATEST creates or updates an intent definition with sample utterances, slots, and fulfilment activity. Custom slot types live under /slottypes and built-in types like AMAZON.AlphaNumeric are referenced by name.

How do I publish a new bot version through Jentic?

Search Jentic for 'publish lex bot version', load the schema for POST /bots/{name}/versions, submit the bot name with the desired checksum, and Jentic will sign and execute the call. Promote that version with an alias update via PUT /bots/{botName}/aliases/{name}.

What are the rate limits for the Lex Model Building API?

Per-region quotas apply, including default caps on bots, intents, slot types per account, and TPS limits on control plane operations. Check the Lex service quotas in the AWS console for the current values in your account.

Does this API run end-user conversations?

No. This API only manages the bot model. Use the Amazon Lex Runtime API to send user utterances to a published bot and receive responses. The Model Building API and the Runtime API are deliberately separate.

Can I migrate a Lex v1 bot to Lex v2?

Yes. POST /migrations starts a migration with a chosen strategy such as CREATE_NEW or UPDATE_EXISTING and returns a migration ID. Poll GET /migrations/{migrationId} until status is COMPLETED or FAILED, then review any returned alerts before promoting the v2 bot.

Can I limit what my agent is allowed to do with the AWS Lex Models API?

Yes. Because you run Jentic One yourself, your own rules decide which Lex Model Building operations and which AWS credentials your agent may use. Lex puts the resource name in the URL path, such as /bots/{name}, /intents/{name}, and /slottypes/{name}, so you can pin the agent to a single bot and let it read and version only that bot. You also choose the exact operations it may call, so destructive ones like DeleteBot or DeleteIntent stay out unless you add them.

AWS Amazon Lex Model Building Service

Connect the Amazon Lex Model Building Service to your agent

Capabilities

Start building with Amazon Lex Model Building Service API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs