flow.dag.yaml

$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
inputs:
  chat_history:
    type: list
    default: []
  question:
    type: string
    default: What is ChatGPT?
    is_chat_input: true
outputs:
  answer:
    type: string
    reference: ${augmented_chat.output}
    is_chat_output: true
nodes:
- name: extract_query_from_question
  type: llm
  source:
    type: code
    path: extract_query_from_question.jinja2
  inputs:
    # This is for easily switch between openai and azure openai.
    # deployment_name is required by azure openai, model is required by openai.
    deployment_name: gpt-35-turbo
    model: gpt-3.5-turbo
    temperature: '0.7'
    top_p: '1.0'
    stop: ''
    max_tokens: '256'
    presence_penalty: '0'
    frequency_penalty: '0'
    logit_bias: ''
    question: ${inputs.question}
    chat_history: ${inputs.chat_history}
  connection: open_ai_connection
  api: chat
- name: get_wiki_url
  type: python
  source:
    type: code
    path: get_wiki_url.py
  inputs:
    entity: ${extract_query_from_question.output}
    count: '2'
- name: search_result_from_url
  type: python
  source:
    type: code
    path: search_result_from_url.py
  inputs:
    url_list: ${get_wiki_url.output}
    count: '10'
- name: process_search_result
  type: python
  source:
    type: code
    path: process_search_result.py
  inputs:
    search_result: ${search_result_from_url.output}
- name: augmented_chat
  type: llm
  source:
    type: code
    path: augmented_chat.jinja2
  inputs:
    # This is to easily switch between openai and azure openai.
    # deployment_name is required by azure openai, model is required by openai.
    deployment_name: gpt-35-turbo
    model: gpt-3.5-turbo
    temperature: '0.8'
    question: ${inputs.question}
    chat_history: ${inputs.chat_history}
    contexts: ${process_search_result.output}
  connection: open_ai_connection
  api: chat
environment:
    python_requirements_txt: requirements.txt