prompeteer 0.3.6

Description:

prompeteer 0.3.6

Prompeteer
By Yoaz Menda
[email protected]
pypi.org/prompeteer
Prompt evaluation and development environment

Define a prompt template and run it with different variables from an input.csv file
supports AzureOpenAi (GPT), AWS Bedrock (Anthropic Claude)
write output to an output.csv file (or just the console)

requirements

Azure CLI. (brew update && brew install azure-cli)
AWS CLI. (brew update && brew install awscli)

installation
pip install prompeteer

usage
Azure OpenAI - GPT


Install Azure CLI and run az login


choose an AzureOpenAI Resource to work with and specify it in the AZURE_OPENAI_RESOURCE_NAME environment
variable.


Create your prompt configuration YAML file:


# azure_openai_prompt.yaml
version: 1.0
name: my_prompt
provider: azure
schemaVersion: 1.0
variables:
- name: topic
required: true
- name: year
required: true
- name: summary
required: true
request:
model: 'gpt-35-turbo' # corresponds to the AzureOpenAi deployment name
temperature: 0.8
topP: 1.0
n: 1
stream: false
presencePenalty: 0.0
frequencyPenalty: 0.0
stop:
user:
messages:
- role: system
content: "You are a helpful assistant."
- role: user
content: "give a short summary about {{topic}} in the year {{year}} ahd here is a summary example"

AWS Bedrock - Claude


Install the AWS CLI and login


authenticate using (verify that the correct profile is on at ~/.aws/credentials)


Create your prompt configuration YAML file:


# aws_bedrock_prompt.yaml
version: 1.0
name: formal
provider: aws
schemaVersion: 1.0
variables:
- name: topic
required: true
- name: year
required: true
- name: summary
required: true
request:
model: 'anthropic.claude-3-haiku-20240307-v1:0'
temperature: 0.8
topP: 1.0
topK: 2
maxTokens: 250
messages:
- role: user
content: "summarize about {{topic}} in the year {{year}} use this example summary: {{summary}}. do it in a very formal way"
- role: assistant
content: "You are a helpful assistant."

from prompeteer import prompeteer

prompeteer.run_prompt(prompt_config_file_path='azure_openai_prompt.yaml',
output_csv='./output.csv',
include_prompt=True, # show request + response in the output
input_csv='./input.csv',
destination='file' # write output to CSV file
)

prompeteer.run_prompt(prompt_config_file_path='aws_bedrock_prompt.yaml',
include_prompt=False, # show only request in the output
input_csv='./input.csv',
row_numbers_to_process=[0, 1], # use and run only rows 0 and 1 from the input.csv
destination='console' # write output to the console
)

input.csv example: ("|" seperated)
"topic"|"year"|"summary"
"basketball"|2002|"A famous quote: ""Just do it"".
"soccer"|1999|"Championship game was exciting"
development
python -m venv venv

source ./venv/bin/activate

install locally and run tests
pip install -e .

./test.sh

build and publish to pypi.org.
./publish.sh