README.md

Conditional flow for if-else scenario

This example is a conditional flow for if-else scenario.

By following this example, you will learn how to create a conditional flow using the activate config.

Flow description

In this flow, it checks if an input query passes content safety check. If it's denied, we'll return a default response; otherwise, we'll call LLM to get a response and then summarize the final results.

The following are two execution situations of this flow:

• if input query passes content safety check:

  

• else:

  

Notice: The content_safety_check and llm_result node in this flow are dummy nodes that do not actually use the conten safety tool and LLM tool. You can replace them with the real ones. Learn more: LLM Tool

Prerequisites

Install promptflow sdk and other dependencies:

pip install -r requirements.txt

Run flow

• Test flow

# test with default input value in flow.dag.yaml
pf flow test --flow .

# test with flow inputs
pf flow test --flow . --inputs question="What is Prompt flow?"

• Create run with multiple lines of data

# create a random run name
run_name="conditional_flow_for_if_else_"$(openssl rand -hex 12)

# create run
pf run create --flow . --data ./data.jsonl --column-mapping question='${data.question}' --stream --name $run_name

• List and show run metadata

# list created run
pf run list

# show specific run detail
pf run show --name $run_name

# show output
pf run show-details --name $run_name

# visualize run in browser
pf run visualize --name $run_name