Monitor Generative AI Applications Built Using LangChain

Splunk AppDynamics Python Agent helps you to monitor GenAI apps built using the LangChain framework. When you instrument the app with Python Agent, it captures the following:

  • Exit calls to vector databases: pgvector and chroma.
  • Prompts and responses in the exit call.
  • Counts of documents retrieved, similarity search score, and errors in vector databases
  • Calls per minute

To monitor LLMs using LangChain, such as Ollama, the Python Agent records these metrics:

  • Tokens
  • Prompt count
  • Embedding queries count