> ## 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.

# Overview

Condense AI Agents are intelligent, task-oriented assistants that simplify the operation, monitoring, and development of real-time streaming applications on the Condense platform.

Unlike traditional monitoring tools that only visualize metrics, AI Agents can understand platform state, retrieve operational information, analyze infrastructure, diagnose issues, and assist developers through specialized capabilities exposed as executable tools.

Each AI Agent focuses on a specific operational domain and provides contextual responses by interacting directly with the underlying Condense platform and supported services.

AI Agents are fully integrated into Condense and help engineering teams reduce operational effort, accelerate troubleshooting, and improve developer productivity.

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# Available AI Agents

Condense currently provides the following AI Agents:

| AI Agent                     | Purpose                                                                                                                                                          |
| ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Kafka Agent**              | Retrieves Kafka topics, schemas, consumer groups, metadata, partition information, and recent messages from Kafka.                                               |
| **Kubernetes Agent**         | Retrieves Kubernetes resources including services, jobs, Kafka clusters, users, Schema Registry information, and connector logs.                                 |
| **Grafana Monitoring Agent** | Diagnoses Grafana alerts and retrieves monitoring data from Prometheus and Kubernetes to assist with root cause analysis.                                        |
| **Coding Agent**             | Generates Condense Applications, Connectors, and Transforms, manages project files, creates automated tests, and integrates with GitHub and GitLab repositories. |

Additional AI Agents will be introduced in future Condense releases.

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# How AI Agents Work

Each AI Agent specializes in a particular domain and executes predefined tools to retrieve or process information.

Instead of manually navigating dashboards or infrastructure resources, users can request information from an AI Agent, which invokes the appropriate tool and returns contextual results.

Depending on the agent, supported operations include:

* Retrieving platform metadata
* Reading Kafka information
* Accessing Kubernetes resources
* Diagnosing monitoring alerts
* Querying Prometheus metrics
* Generating application source code
* Managing project files
* Integrating with Git repositories

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# Benefits

Condense AI Agents help organizations:

* Reduce operational overhead.
* Accelerate troubleshooting.
* Improve platform observability.
* Simplify Kafka and Kubernetes operations.
* Assist developers in building Condense applications.
* Automate repetitive engineering tasks.
* Improve productivity across development and operations teams.

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# Supported Platform Components

Current AI Agents support operations across:

* Apache Kafka
* Kubernetes
* Schema Registry
* Prometheus
* Grafana
* GitHub
* GitLab
* Condense Applications

Support for additional services and integrations will continue to expand in future releases.

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# Related Documentation

* Getting Started
* Kafka Agent
* Kubernetes Agent
* Grafana Monitoring Agent
* Coding Agent