MX-AI Catalog
Agents Catalog
SMO Agent - Network Management and Operations - (DEPRECATED)
This agent is deprecated and will be removed in future releases. Please use the SMO Agent V2 whenever possible.
Image: hub.bubbleran.com/orama/agents/smo-agent
Functionalities:
- Leverages the Observability DB MCP Server to provide observability capabilities:
- Monitor the deployed Networks and UEs and their configurations.
- Count/List resources.
- Deploys new Networks and UEs allowing to specify a minimal configuration:
- Network: Network name, Access Networks number and names, whether to include FlexRIC or not in the deployment.
- Terminal (UE): UE name, preferred Access Network, IMSI (optional).
SMO Agent V2 - Network Management and Operations
Image: hub.bubbleran.com/orama/agents/smo-agent-v2
Functionalities:
- Leverages the Observability DB MCP Server to provide observability capabilities:
- Monitor the deployed Networks and UEs and their configurations.
- Count/List resources.
- Leverages Hermes to deploy new Networks and UEs.
- All of the parameters for the Network and Terminal (UE) resources are supported.
- Complete list of parameters available in the API Reference.
- Supports pre-defined configurations.
- Leverages Hermes to update existing Networks and UEs.
- Leverages Hermes to delete existing Networks and UEs.
Hermes - Kubernetes API Agent
Image: hub.bubbleran.com/orama/agents/hermes
Functionalities:
- Translates natural language intents into Kubernetes API calls.
- Validates the API request based on the available schema.
- Tested and validated with Athena APIs. Other APIs will be tested for future releases.
Supervisor - Agents Orchestrator - (DEPRECATED)
This agent is deprecated and will be removed in future releases. Please use the Supervisor V2 whenever possible.
Image: hub.bubbleran.com/orama/agents/supervisor
Functionalities:
- Leverages other agents to translate human intents into a well-structured plan.
- Each step of the plan is executed by another agent.
- The Supervisor puts together all of the results to generate a final answer for the user.
- Handles Human-In-The-Loop (HITL) interactions.
Supervisor V2 - Agents Orchestrator
Image: hub.bubbleran.com/orama/agents/supervisor-v2
Functionalities: same as Supervisor, but this version is more stable and compliant with the latest version of BAT-ADK.
UL Anomaly Detection Agent - Detect UL interference from RAN KPIs - (EXPERIMENTAL)
Image: hub.bubbleran.com/orama/agents/ul-ad-agent
Functionalities:
- Leverages the Anomalies DB MCP Server to retrieve anomaly alerts generated by the inference pipeline.
- Assesses network status and anomaly severity based on anomaly scores and deviating KPIs.
- Uses KPI context and explanations to provide anomaly interpretation, root cause analysis, and recommended actions.
P0 Configuration Agent - Control P0 Nominal to optimize UL throughput - (EXPERIMENTAL)
Image: hub.bubbleran.com/orama/agents/p0-agent
Functionalities:
- Provides observability on UE power-related analytics, including p0Nominal PUSCH, PUCCH, SNR and DL/UL throughput.
- Employes 2 tools,
KPI_mon()andp0_enforce(), in order to collect the metrics and enforce new p0Nominal configurations. - Can use tools, reason and propose improvements on the p0Nominal configuration.
MCP Servers Catalog
Observability DB
Image: hub.bubbleran.com/orama/mcp/observability-db
Functionalities:
- Collect Kubernetes resources, split them into chunks and save into a Vector Database.
Tools:
- Query: perform a similarity search between an input query and the retrieved resources.
- Enumerate: perform an enumerate operation on the retrieved resources.
- Currently supported operations: count, list.
Anomalies DB - (EXPERIMENTAL)
Image: hub.bubbleran.com/orama/mcp/anomaly-db
Functionalities:
- Collects and stores real-time anomaly alerts produced by the inference pipeline.
- Maintains anomaly metadata, including anomaly scores and deviating KPIs.
Tools:
- get_alerts_in_interval: Query anomalies over a user-defined time interval.
- get_kpi_guides: Provides KPI contextual information to support explainability and reasoning by agents.