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We also compare piping to methods for adding memory to surveys, which allow you to automatically add the context of specified questions to other question in a survey. Please see the surveys section of the docs for more details on each of the methods shown below. Before running the code below, please see instructions on installing the EDSL library and storing API keys for language models. We start by importing tools and constructing an initial question:
In our next question, we create {{ placeholders }} for the components of the first question that we want to include. The placeholders must include the question_name of the piped question and the name of the component (e.g., answer or comment):
We combine the questions in a survey as usual:
Before running the survey, we can inspect the prompts for the questions by calling the show_prompts() method on the survey. We can see that the multiple choice question automatically includes answering instructions for the question type, and an instruction for the model to add a comment about its response which will be stored as a separate component in results (we will see this when the question is run). (The instruction to add a comment is automatically added to all question types other than free text and can be omitted by passing include_comment=False). In the second question, we can see that the components of the first question text, answer and comment will be inserted. Note that there is no system prompt displayed in the prompts because we have not added any agents:

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Inspecting completed prompts in results

Here we run the survey and inspect results, which also include the prompts that were used with the piped components:
To see a list of all the components of results:
To inspect the user prompts, which now include the piped components:

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Compare to memory rules

EDSL provides a variety of rules for automatically adding the context of one or more specified questions and answers to other questions in a survey. See the docs page for examples of all of these methods. Here we create a different version of the second question (omitting piped components and context) and add a memory of the first question after combining them in a survey. Then we show how this impacts the prompts tha are generated:
We can see that the following context has been added to the second question: “Before the question you are now answering, you already answered the following question(s): Question: What is your favorite season? Answer: None”
Note:Note that this context does not include the comment field!
If multiple prior questions are added to memory they are added in the same way:
Note:Note that full memory can results in long question contexts when a survey consists of many questions. Before using a memory rule, we commend investigating impacts to the accuracy of responses by testing examples, and whether memory is needed for any particular question.

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Posting to Expected Parrot

Here we post this notebook to Expected Parrot, and show how to update the object afterward. Learn more about posting content to store files, surveys, results and projects.