For Agents
Use the Amazon AppConfig API to deploy and manage application configuration on AWS, with 43 operations covering the full control-plane lifecycle.
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Amazon AppConfig, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh# 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 instanceJentic 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.
What an agent can do with Amazon AppConfig API.
Create applications, environments, and configuration profiles to organise configuration
Upload hosted configuration versions and validate them before deployment
Define deployment strategies that control rollout speed, bake time, and growth factor
Roll out a configuration version to an environment and monitor for CloudWatch alarms
GET STARTED
Use for: Deploy a new feature flag value to my production environment, I want to roll back the last AppConfig deployment, Create a configuration profile for my application, List all deployments to a given environment
Not supported: Does not handle source code deployments, secret storage, or runtime feature evaluation — use for configuration document management and rollout only.
Amazon AppConfig deploys and manages application configuration with built-in validation, controlled rollouts, and rollback. It supports feature flags, free-form configuration documents, and gradual deployment strategies so configuration changes ship safely without redeploying code.
Roll back a deployment automatically when monitored alarms fire
Manage feature flag configuration profiles with structured flag schemas
Patterns agents use Amazon AppConfig API for, with concrete tasks.
★ Feature flag rollout with automatic rollback
Ship feature flag changes incrementally by creating a feature flag configuration profile, defining a deployment strategy with a slow growth factor and bake time, and starting a deployment with CloudWatch alarms attached. AppConfig advances the rollout in the configured increments, and if any monitored alarm fires it rolls back the change automatically. End-to-end setup is typically a day for the first profile.
Create a feature flag configuration profile called 'checkout-v2-flag', upload a flag version with checkout-v2 set to false, then deploy it to the production environment using the gradual deployment strategy.
Environment-scoped runtime configuration
Maintain separate configuration values per environment by creating one configuration profile per logical setting and a hosted configuration version per environment. Applications fetch the current configuration at runtime through the AppConfig data plane, so values can change without a redeploy. Setup takes a few hours per service once the application is wired to the data plane.
Create environments named 'dev', 'staging', and 'prod' under the 'orders-service' application, then upload distinct hosted configuration versions of the 'rate-limits.json' profile for each environment.
Validated JSON configuration delivery
Prevent broken configuration from reaching production by attaching JSON Schema or Lambda validators to a configuration profile. AppConfig rejects new versions that fail validation before any deployment can start, and the same validators run again at deployment time. This adds a safety net for hand-edited configuration without requiring a separate review step.
Create a configuration profile with a JSON Schema validator on the 'limits.json' document and upload a new hosted version with maxRequestsPerMinute set to 5000.
AI agent toggling feature flags through Jentic
Operations agents can manage feature flag rollouts on demand by calling AppConfig deployment operations through Jentic. The agent searches for the deployment intent, loads the StartDeployment schema, and executes the call with scoped credentials, so the AppConfig admin secret never enters its context. Manual coordination across teams compresses to a single agent action.
Search Jentic for 'deploy a feature flag configuration to my application', load the StartDeployment schema, and execute it against the production environment with the new configuration version.
43 endpoints — amazon appconfig deploys and manages application configuration with built-in validation, controlled rollouts, and rollback.
METHOD
PATH
DESCRIPTION
/applications
Create an AppConfig application
/applications/{ApplicationId}/environments
Create an environment under an application
/applications/{ApplicationId}/configurationprofiles
Create a configuration profile
/deploymentstrategies
Create a reusable deployment strategy
/applications/{ApplicationId}/configurationprofiles/{ConfigurationProfileId}/hostedconfigurationversions#Content-Type
Upload a hosted configuration version
/applications/{ApplicationId}/environments
List environments under an application
/applications
Create an AppConfig application
/applications/{ApplicationId}/environments
Create an environment under an application
/applications/{ApplicationId}/configurationprofiles
Create a configuration profile
/deploymentstrategies
Create a reusable deployment strategy
/applications/{ApplicationId}/configurationprofiles/{ConfigurationProfileId}/hostedconfigurationversions#Content-Type
Upload a hosted configuration version
Three things that make agents converge on Jentic-routed access.
Credential isolation
AWS IAM access keys for Amazon AppConfig are stored encrypted in the Jentic vault. Jentic signs each request with AWS SigV4 at execution time and returns only the API response — raw access keys never enter the agent's context.
Intent-based discovery
Agents express intents like 'deploy a feature flag configuration to my application' and Jentic returns matching Amazon AppConfig operations along with their input schemas, so the agent picks the right call without browsing the AWS service reference.
Time to first call
Direct Amazon AppConfig integration: 2-5 days for IAM scoping, SigV4 wiring, retry logic, and pagination handling. Through Jentic: under 1 hour — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Incident response
Systems Manager Incident Manager surfaces problems triggered by failed AppConfig rollouts
Use Incident Manager when an AppConfig rollback fires CloudWatch alarms and you need to coordinate human response.
Lambda runtime consumers
Lambda functions are common consumers of AppConfig configuration via the AppConfig extension
Use Lambda alongside AppConfig when functions need to read configuration values without restarts.
CodeDeploy controlled deployments
CodeDeploy applies the same gradual rollout patterns to compute deployments rather than configuration
Choose CodeDeploy when you are deploying application code to EC2, Lambda, or ECS rather than rolling out configuration documents.
Specific to using Amazon AppConfig API through Jentic.
What authentication does the Amazon AppConfig API use?
The Amazon AppConfig API uses AWS Signature Version 4 (HMAC) request signing with IAM-issued credentials, the same scheme as every AWS service API. Jentic's MAXsystem stores those AWS credentials encrypted in the vault, generates short-lived signed requests at execution time, and never passes raw access keys into the agent's context.
Can I deploy a new feature flag value to my production environment with the Amazon AppConfig API?
Yes — the Amazon AppConfig API exposes 43 operations including the actions needed for that scenario. Use the operations listed in the key endpoints section as the starting point, then chain calls as needed for your workflow.
What are the rate limits for the Amazon AppConfig API?
AWS applies per-account, per-region request rate limits to the Amazon AppConfig control plane. Specific limits are not encoded in the OpenAPI spec; consult the AWS service quotas console for the Amazon AppConfig entry, and design retries with exponential backoff to absorb throttling responses.
How do I deploy a feature flag configuration to my application through Jentic?
Run pip install jentic, then call client.search('deploy a feature flag configuration to my application') to discover the Amazon AppConfig operations that match. Load the schema for the chosen operation with client.load(...) and execute it with client.execute(...). Jentic handles AWS request signing automatically against the credentials stored in your Jentic vault.
Is the Amazon AppConfig API free to call?
AWS does not charge for control-plane API calls themselves on most Amazon AppConfig operations, but the underlying resources you create or operate (fleets, queries, deployments, and so on) incur usage charges according to the Amazon AppConfig pricing page. Refer to the AWS pricing page for the service to estimate cost.
Which operations should an agent call first when working with the Amazon AppConfig API?
For most workflows, agents should start by listing existing resources to understand the current state, then call the create or update operation that matches the intent. The endpoints listed under Key Endpoints in the catalog give a ranked starting set.
/applications/{ApplicationId}/environments
List environments under an application