What's New?

Release 1.4.0

• Reasoning Model Upgraded LLM responses featuring advanced multi-step reasoning and dynamic decision-making to elevate troubleshooting capabilities and forecasting accuracy

• Agentic Architecture Introduced a new agentic architecture that empowers autonomous task execution and seamless interaction with external systems

  • New & Improved Use Cases:

    • Basic NetOps

    • Flow Analytics

    • Security Audits

    • Inventory Insights

    • Support Knowledge Base

    • Upgrade Compliance

• New External Integrations Integrated with a wider ecosystem, including:

  • ELK Stack

  • Google Cloud Storage (GCS)

  • Loki

  • InfluxDB

  • NetBox

  • Azure

  • Cisco Nexus Dashboard

• User Interface:

  • Suggested questions now appear to help guide your next steps

  • Rolled out an exciting, revamped UI featuring improved navigation, modern design, and enhanced customization options for a streamlined user experience

• Critical bug fixes and overall stability improvements to ensure reliable performance in diverse operational environments

• Known Limitations:

  • In the event of an error during chat interactions, please initiate a new chat session to prevent cascading issues

  • Ensure prompts are specific for optimal results, as vague inputs may result in unexpected or incomplete responses

Release 1.3.0

• Inferencing engine enhancements for improved throughput & reduced latency

• Slack Integration
• External Data Ingestion:

  • Amazon S3

  • Splunk

  • Snowflake

• Use Case Improvements:

  • Audit Reports

  • Application Visibility

  • Upgrade Compliance

• Collection of Additional Metrics through:

  • Interface Level Errors & Discards

  • Transceiver DOM Information:

    • Tx/Rx Power

    • Temperature

    • Voltage

    • Bias Current

• Improved support for the Japanese language

• Minor UI Changes for quality-of-life improvements

• Scalability improvements

• Critical bug fixes and stability improvements

Release 1.2.0

• Enhanced LLM responses, security, and audit report features

• Improved user interface

• Critical bug fixes and stability improvements

Release 1.1.0

• Data Ingestion now supports devices using gNMI, SNMP, API, sFlow
• New Use Cases
• User Interface: Provides a user-friendly interface that makes it easy for users to ask questions and get answers

  • Streaming responses

  • Exporting conversations

  • Import user context

  • Timestamps

  • Regenerating responses

  • User feedback on the responses for improvements

  • Light and Dark Modes

  • Generate configurations and charts

Release 1.0.0

Features Supported

• Data Ingestion: NCP supports gNMI and SNMP for network state metrics. It also supports the ingestion of sFlow records

• NCP answers a wide variety of questions in the following use cases:

  • Inventory & Accounting

  • Capacity Planning

  • Anomaly Detection

  • Compliance

  • AI Fabric

Open Issues

• NCP-231: The Model returns data even for single-letter or single-word queries.

• NCP-336: The Model provides incomplete or inaccurate responses to certain questions.

• NCP-340: The Pie chart for Japanese queries should display labels and details in Japanese.

• NCP-341: The Model's responses are inaccurate or incomplete for some Japanese-language questions.