title: "meeting bullet points to summary"
prompt: |+
    Convert my short hand into a first-hand account of the meeting:

    <1>

    Summary:
engine: "davinci-instruct-beta"
temperature: 0.7
max-tokens: 60
top-p: 1
frequency-penalty: 0.0
presence-penalty: 0.0
best-of: 1
stop-sequences:
- "\n\n"
inject-start-text: yes
inject-restart-text: yes
show-probabilities: off
# A flag just for convenience-sake to find prompts which are designed to be chatbots
conversation-mode: no
# Keep stitching together until reaching this limit
# This allows a full response for answers which may need n*max-tokens to reach the stop-sequence.
stitch-max: 0
vars:
- "notes"
examples:
- |+
    Tom: Profits up 50%
    Jane: New servers are online
    Kjel: Need more time to fix software
    Jane: Happy to help
    Parkman: Beta testing almost done

title: "${1:title}"
# future-titles: ""
aims: |+
- More abstractive rewording
doc: "Given ... ${1:title}"
# aims: |+
# - More abstractive rewording
prompt-version: 1
# <:pp> defines a point where the following
# text is concatenated before the postprocessor
# is run.
# <1>, <2> etc. are where variables are substituted
prompt: |+
    ${2:contents}

    <1> are like <2> in that
# # Additional transformation of prompt after the template
prompt-filter: "sed -z 's/\\s\\+$//'"
# Trailing whitespace is always removed
# prompt-remove-trailing-whitespace: on
# myrc will select the completion engine using my config.
# This may be openi-complete or something else
engine: "myrc"
# if nothing is selected in myrc and openapi-complete is used
# by default, then openai should select this engine.
preferred-openai-engine: "davinci"
# 0.0 = /r/hadastroke
# 1.0 = /r/iamveryrandom
# Use 0.3-0.8
temperature: 0.8
max-tokens: 60
top-p: 1.0
# Not available yet: openai api completions.create --help
frequency-penalty: 0.5
# If I make presence-penalty 0 then it will get very terse
presence-penalty: 0.0
best-of: 1
# Only the first one will be used by the API,
# but the completer script will use the others.
# Currently the API can only accept one stop-sequence, but that may change.
stop-sequences:
- "###"
- "\n\n"
inject-start-text: yes
inject-restart-text: yes
show-probabilities: off
# Cache the function by default when running the prompt function
cache: on
vars:
- "former"
- "latter"
examples:
- "boysenberries"
- "strawberries"
# Completion is for generating a company-mode completion function
completion: on
# # default values for pen -- evaled
# # This is useful for completion commands.
pen-defaults:
- "(detect-language)"
- "(pen-preceding-text)"
# These are elisp String->String functions and run from pen.el
# It probably runs earlier than the preprocessors shell scripts
pen-preprocessors:
- "pen-pf-correct-grammar"
# # A preprocessor filters the var at that position
# the current implementation of preprocessors is kinda slow and will add ~100ml per variable
# # This may be useful to distinguish a block of text, for example
preprocessors:
- "sed 's/^/- /"
-
chomp-start: on
chomp-end: off
prefer-external: on
# This is an optional external command which may be used to perform the same task as the API.
# This can be used to train the prompt.
external: "generate-text-from-input.sh"
# This script returns a 0-1 decimal value representing the quality of the generated output.
quality-script: "my-quality-checker-for-this-prompt.sh"
# This script can be used to validate the output.
# If the output is accurate, the validation script returns exit code 1.
# The quality-script is sent to this script as the first argument.
validation-script: "my-validator-for-this-prompt.sh"
# Enable running conversation
conversation-mode: no
# Replace selected text
filter: no
# Keep stitching together until reaching this limit
# This allows a full response for answers which may need n*max-tokens to reach the stop-sequence.
stitch-max: 0
needs-work: no
n-test-runs: 5
# Prompt function aliases
aliases:
- "asktutor"
postprocessor: "sed 's/- //' | uniqnosort"
# # Run it n times and combine the output
n-collate: 10