A simple Python library for parsing LLM prompts.
Project description
Prompt Parser
A simple Python library for parsing LLM prompts.
Usage
from prompt_parser import Prompt
prompt = Prompt.parse("""
---
temperature: 0.5
top_p: 0.5
top_k: 50
max_tokens: 4096
provider: openai
model: gpt-4
endpoint: chat
unknown: blablah
---
<system>
Hi from system
</system>
<user>
Hi from user {custom}
</user>
<assistant>
Hi from assistant
</assistant>
""")
# getters
prompt.system # Hi from system
# or
prompt.system_forced # "Hi from system" -> will throw an error if not present
prompt.user # Hi from user {custom}
# or
prompt.user_forced # "Hi from user {custom}" -> will throw an error if not present
prompt.assistant # Hi from assistant
# or
prompt.assistant_forced # "Hi from assistant" -> will throw an error if not present
prompt.format_user(custom="Alex") # "Hi from user Alex"
# check also `format_system` and `format_assistant`
# access the attributes
prompt.attributes.temperature # 0.5
prompt.attributes.top_p # 0.5
prompt.attributes.top_k # 50
prompt.attributes.provider # openai
prompt.attributes.model # gpt-4
prompt.attributes.endpoint # chat
prompt.attributes.max_tokens # 4096
prompt.attributes["unknown"] # blahblah
You can also use the Prompt.parse_from_file(path) method to parse a prompt file given its path.
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