> ## Documentation Index
> Fetch the complete documentation index at: https://docs.condense.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Getting Started

Condense AI Agents are built into the Condense platform and are designed to assist users with platform operations, infrastructure monitoring, and application development.

Each AI Agent specializes in a specific operational domain and uses a collection of tools to retrieve information, analyze resources, or perform supported tasks.

No additional installation is required. Once AI Agents are enabled for your organization, they are available directly within the Condense platform.

***

# Before You Begin

Before using AI Agents, ensure that:

* You have access to a Condense organization.
* AI Agents have been enabled for your organization.
* You have the necessary permissions to access the resources you want to query.
* The required platform components (such as Kafka, Kubernetes, Grafana, or Version Control integrations) are configured and accessible.

***

# Available AI Agents

Condense currently provides the following AI Agents:

| AI Agent                 | Primary Responsibility                                                                                                        |
| ------------------------ | ----------------------------------------------------------------------------------------------------------------------------- |
| Kafka Agent              | Kafka operations, metadata, topics, schemas, consumer groups, and message retrieval.                                          |
| Kubernetes Agent         | Kubernetes resources, connector logs, Kafka resources, services, jobs, and Schema Registry.                                   |
| Grafana Monitoring Agent | Grafana alert diagnosis, Prometheus metrics, and infrastructure monitoring.                                                   |
| Coding Agent             | Generates applications, connectors, transforms, project structure, and test cases with optional GitHub or GitLab integration. |

***

# Using an AI Agent

Each AI Agent accepts requests related to its supported domain.

Depending on the selected agent, users can:

* Retrieve operational information.
* Analyze platform resources.
* Diagnose infrastructure issues.
* Access monitoring data.
* Generate application code.
* Manage project files.
* Integrate with Git repositories.

The selected AI Agent automatically invokes the appropriate tool required to complete the requested task.

***

# Agent Selection

Choose the AI Agent based on the task you want to perform.

| If you want to...                                                  | Use                      |
| ------------------------------------------------------------------ | ------------------------ |
| Work with Kafka topics, schemas, or consumer groups                | Kafka Agent              |
| Retrieve Kubernetes resources or connector logs                    | Kubernetes Agent         |
| Diagnose Grafana alerts or query Prometheus                        | Grafana Monitoring Agent |
| Generate code, create projects, or integrate with Git repositories | Coding Agent             |

***

# Permissions

AI Agents respect the Condense Role-Based Access Control (RBAC) model.

Users can only retrieve information for resources they are authorized to access within the active organization and environment.

***

# Best Practices

* Select the AI Agent that matches the task you want to perform.
* Ensure the required platform services are available before submitting requests.
* Review AI-generated responses before applying operational or development changes.
* Continue using existing monitoring and governance practices alongside AI Agents.

***

# Next Steps

Continue with:

* Kafka Agent
* Kubernetes Agent
* Grafana Monitoring Agent
* Coding Agent
* Frequently Asked Questions