langchain prefect

We have hosted the application langchain prefect in order to run this application in our online workstations with Wine or directly.

Quick description about langchain prefect:

Large Language Models (LLMs) are interesting and useful? - ?building apps that use them responsibly feels like a no-brainer. Tools like Langchain make it easier to build apps using LLMs. We need to know details about how our apps work, even when we want to use tools with convenient abstractions that may obfuscate those details. Prefect is built to help data people build, run, and observe event-driven workflows wherever they want. It provides a framework for creating deployments on a whole slew of runtime environments (from Lambda to Kubernetes), and is cloud agnostic (best supports AWS, GCP, Azure). For this reason, it could be a great fit for observing apps that use LLMs. RecordLLMCalls is a ContextDecorator that can be used to track LLM calls made by Langchain LLMs as Prefect flows. Run several LLM calls via langchain agent as Prefect subflows.

Features:

• Call an LLM and track the invocation with Prefect
• RecordLLMCalls is a ContextDecorator that can be used to track LLM calls made by Langchain LLMs as Prefect flows
• Run several LLM calls via langchain agent as Prefect subflows
• The easiest way is to use the Prefect Cloud UI for free
• You can use the dashboard locally by running prefect server start in your terminal
• Requires an installation of Python 3.10+

Programming Language: Python.
Categories: