Quickstart

OPENAI_API_KEY=your-api-key

ANTHROPIC_API_KEY=your-api-key

AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key

version: "0.1"

flow:
  ask:
    action: llm
    prompt: List some examples of {{ thing }}
  extract:
    action: extract_list
    text:
      link: ask

version: "0.1"

# De Bono's Six Thinking Hats is a powerful technique for creative problem-solving and decision-making.
flow:

  # The white hat focuses on the available information and facts about the problem.
  white_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - text: |
          List all the factual information you know about the problem.
          What data and numbers are available?
          Identify any gaps in your knowledge and consider how you might obtain this missing information.

  # The red hat explores emotions, feelings, and intuitions about the problem.
  red_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - text: |
          Express your feelings and intuitions about the problem without any need to justify them.
          What are your initial reactions?
          How do you and others feel about the situation?

  # The black hat considers the risks, obstacles, and potential downsides of the problem.
  black_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - text: |
          Consider the risks and challenges associated with the problem.
          What are the potential downsides?
          Try to think critically about the obstacles, and the worst-case scenarios.

  # The yellow hat focuses on the positive aspects, benefits, and opportunities of the problem.
  yellow_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - text: |
          Focus on the positives and the potential benefits of solving the problem.
          What are the best possible outcomes?
          How can this situation be an opportunity for growth or improvement?

  # The green hat generates creative ideas, alternatives, and innovative solutions to the problem.
  green_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - text: |
          Think creatively about the problem.
          Brainstorm new ideas and alternative solutions.
          How can you overcome the identified challenges in an innovative way?

  # The blue hat manages the thinking process, synthesizes insights, and outlines a plan of action.
  blue_hat:
    action: llm
    prompt:
      - heading: Problem
        var: query
      - heading: White Hat
        link: white_hat.response
      - heading: Red Hat
        link: red_hat.response
      - heading: Black Hat
        link: black_hat.response
      - heading: Yellow Hat
        link: yellow_hat.response
      - heading: Green Hat
        link: green_hat.response
      - text: |
          Review and synthesize the information and ideas generated from the other hats.
          Assess which ideas are most feasible and effective based on the facts (White Hat), emotions (Red Hat), risks (Black Hat), benefits (Yellow Hat), and creative solutions (Green Hat).
          How can these insights be integrated into a coherent strategy?
          Outline a plan with clear steps or actions, indicating responsibilities, deadlines, and milestones.
          Consider how you will monitor progress and what criteria you will use to evaluate success.

version: "0.1"

flow:
  judgement:
    action: llm
    quote_style: xml
    prompt:
        - role: system
        - text: |
            You are evaluating the answers given on an application to a start-up accelerator in San Francisco.
            This is a very prestigious and selective application.

            criteria about the application is as follows:
        - heading: criteria
          var: application_criteria
        - role: user
        - text: |
            Critically evaluate the following application, determine if this is worth inclusion in your prestigious startup accelerator and the quality of the application.
            You only have the ability to fund 5 companies and will be presented with over 200 applications.
            Be careful, wasting your funding opportunities on the wrong companies could lead to bankruptcy and you have a family at home to take care of.
            Provide a detailed score based accounting of the strengths and weaknesses.
        - heading: application
          var: application
  suggestions:
    action: llm
    quote_style: xml
    prompt:
        - role: system
        - text: |
            You are a seasoned expert in the startup scene who truly believes in the startup who submitted their application.
            To ensure success in their application in a prestigious startup accelerator you sent the application to an experienced friend who passed judgement on the application.
            Now you are trying to figure out actionable methods for how to boost their application based on the scores received.
            You do have some criteria on what the startup accelerator is looking for:
        - heading: criteria
          var: application_criteria

        - role: user
        - text: |
            Provide ideas on how to improve this application based on the judgement it received and the criteria you have on the process
        - heading: application
          var: application
        - heading: judgement
          link: judgement.result

default_output: judgement.result

from aijson import Flow
import asyncio
from dotenv import load_dotenv

# load environment variables from .env
load_dotenv()

async def main():
    # load the flow
    flow = Flow.from_file('simple_list.ai.yaml')

    # set variables
    flow = flow.set_vars(thing='pizza')

    # run it
    result = await flow.run()
    print(result)

    # alternatively, INSTEAD of running it, stream it
    async for result in flow.stream():
        print(result)

if __name__ == '__main__':
    asyncio.run(main())

from aijson import Flow
import asyncio
from dotenv import load_dotenv

# load environment variables from .env
load_dotenv()

async def main():
    # load the flow
    flow = Flow.from_file('debono.ai.yaml')

    # set variables
    flow = flow.set_vars(query='what should I do for my birthday')

    # run it
    result = await flow.run()
    print(result)

    # alternatively, INSTEAD of running it, stream it
    async for result in flow.stream():
        print(result)

if __name__ == '__main__':
    asyncio.run(main())

from aijson import Flow
import asyncio
from dotenv import load_dotenv

# load environment variables from .env
load_dotenv()

async def main():
    # load the flow
    flow = Flow.from_file('application_judgement.ai.yaml')

    # set variables
    flow = flow.set_vars(
        application_criteria="Assess based on innovation, market potential, team, and feasibility",
        application="A startup that uses AI to predict the weather"
    )

    # run it
    result = await flow.run()
    print(result)

    # alternatively, INSTEAD of running it, stream it
    async for result in flow.stream():
        print(result)

if __name__ == '__main__':
    asyncio.run(main())