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79 lines
3.1 KiB
Markdown
79 lines
3.1 KiB
Markdown
# Conditional flow for switch scenario
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This example is a conditional flow for switch scenario.
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By following this example, you will learn how to create a conditional flow using the `activate config`.
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## Flow description
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In this flow, we set the background to the search function of a certain mall, use `activate config` to implement switch logic and determine user intent based on the input queries to achieve dynamic processing and generate user-oriented output.
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- The `classify_with_llm` node analyzes user intent based on input query and provides one of the following results: "product_recommendation," "order_search," or "product_info".
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- The `class_check` node generates the correctly formatted user intent.
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- The `product_recommendation`, `order_search`, and `product_info` nodes are configured with activate config and are only executed when the output from `class_check` meets the specified conditions.
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- The `generate_response` node generates user-facing output.
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For example, as the shown below, the input query is "When will my order be shipped" and the LLM node classifies the user intent as "order_search", resulting in both the `product_info` and `product_recommendation` nodes being bypassed and only the `order_search` node being executed, and then generating the outputs.
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## Prerequisites
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Install promptflow sdk and other dependencies:
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```bash
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pip install -r requirements.txt
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```
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## Setup connection
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Prepare your Azure OpenAI resource follow this [instruction](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal) and get your `api_key` if you don't have one.
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Note in this example, we are using [chat api](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions), please use `gpt-35-turbo` or `gpt-4` model deployment.
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Create connection if you haven't done that. Ensure you have put your azure OpenAI endpoint key in [azure_openai.yml](../../../connections/azure_openai.yml) file.
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```bash
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# Override keys with --set to avoid yaml file changes
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pf connection create -f ../../../connections/azure_openai.yml --name open_ai_connection --set api_key=<your_api_key> api_base=<your_api_base>
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```
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Note in [flow.dag.yaml](flow.dag.yaml) we are using connection named `open_ai_connection`.
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```bash
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# show registered connection
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pf connection show --name open_ai_connection
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```
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## Run flow
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- Test flow
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```bash
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# test with default input value in flow.dag.yaml
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pf flow test --flow .
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# test with flow inputs
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pf flow test --flow . --inputs query="When will my order be shipped?"
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```
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- Create run with multiple lines of data
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```bash
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# create a random run name
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run_name="conditional_flow_for_switch_"$(openssl rand -hex 12)
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# create run
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pf run create --flow . --data ./data.jsonl --column-mapping query='${data.query}' --stream --name $run_name
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```
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- List and show run metadata
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```bash
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# list created run
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pf run list
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# show specific run detail
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pf run show --name $run_name
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# show output
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pf run show-details --name $run_name
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# visualize run in browser
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pf run visualize --name $run_name
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```
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