promptflow
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README.md
Flex Flow
You can learn more on flex flow with examples in this folder.
SDK examples
path | status | description |
---|---|---|
flex-flow-quickstart.ipynb | A quickstart tutorial to run a flex flow and evaluate it. | |
flex-flow-quickstart-azure.ipynb | A quickstart tutorial to run a flex flow and evaluate it in azure. | |
chat-with-class-based-flow-azure.ipynb | A quickstart tutorial to run a class based flex flow and evaluate it in azure. | |
chat-with-class-based-flow.ipynb | A quickstart tutorial to run a class based flex flow and evaluate it. | |
chat-stream-with-flex-flow.ipynb | A quickstart tutorial to run a class based flex flow in stream mode and evaluate it. | |
chat-stream-with-async-flex-flow.ipynb | A quickstart tutorial to run a class based flex flow in stream mode and evaluate it. | |
langchain-eval.ipynb | A tutorial to converting LangChain criteria evaluator application to flex flow. |
CLI examples
path | status | description |
---|---|---|
basic | A basic standard flow define using function entry that calls Azure OpenAI with connection info stored in environment variables | |
chat-async-stream | A chat flow defined using async class entry that return output in stream mode | |
chat-basic | A basic chat flow defined using class entry | |
chat-minimal | A chat flow defined using function with minimal code | |
chat-stream | A chat flow defined using class entry that return output in stream mode | |
chat-with-functions | This flow covers how to use the LLM chat API in combination with external functions to extend the capabilities of GPT models | |
eval-checklist | A example flow defined using class entry which demos how to evaluate the answer pass user specified check list | |
eval-code-quality | A example flow defined using class based entry which leverages model config to evaluate the quality of code snippet | |
eval-criteria-with-langchain | A example flow of converting LangChain criteria evaluator application to flex flow |