Skip to main content

A brief description of my package

Project description

llm-strings

A lightweight library for message handling with instruction fine-tuned language models.

This module provides two classes: LMString and LMRecordStrings.

  • LMString is a subclass of Python's built-in string class that overides the format method to provide more informative feedback about missing formatting arguments.

  • LMRecordStrings stores multiple string records and formats them according to the input text conversations. You can still format messages after wrapped in a collection, and you have a guarantee over the roles sequence: system (optional), user, assistant, user, assistant,...

Usage

LMString Class

Initialize the LMString

template = LMString("Hello, {name}. Today is {day}.")
# Output: Template String initialized successfully. Required args: {'day', 'name'}

In this example, we create an LMString that expects two arguments: name and day.

Format the LMString

template.format(name="Alice")
# Output: Template String has been partially formatted successfully. Required args now: ['day']

If only a subset of the required arguments are provided, format will return an LMString that only expects the remaining ones.

template.format(name="Alice", day="Monday")
#Output: "Hello, Alice. Today is Monday."

When all required arguments are provided, format will return an ordinary string.

Compose LMString with another string

template @ "How are you?"
# Output: "Hello, {name}. Today is {day}. How are you?"

The @ operator can be used to concatenate an LMString with another string. The resulting LMString will expect all arguments that the original LMString expected.

LMRecordStrings Class

Initialize the LMRecordStrings

record = LMRecordStrings("Hello, {name}.")

In this example, we create an LMRecordStrings that expects one argument: name.

Compose LMRecordStrings with another string or LMRecordStrings

record @ "Today is {day}."
record @ LMRecordStrings("How are you?")

The @ operator can be used to concatenate an LMRecordStrings with another string or LMRecordStrings. The resulting LMRecordStrings will expect all arguments that the original LMRecordStrings expected.

Format the LMRecordStrings

record.format(0, name="Alice")
# Output: 0. Record formatted succesfully. Formatted args: {'name'}. Required args now: set()

The format method formats a specific record in the LMRecordStrings. The first argument is the index of the record to format, and the remaining arguments are the formatting arguments.

record.vformat(name="Alice", day="Monday")
# Output: Records formatted succesfully!

The vformat method formats all records in the LMRecordStrings that expect the provided arguments.

Print the LMRecordStrings

print(record)

The __str__ method returns a string representation of the LMRecordStrings that can be printed to the console. The string representation includes a border and separates each record with a line.

record = LMRecordStrings("Hello, {name}.") @ "Today is {day}." @ LMRecordStrings("How are you?")
record = record.format(0, name="Alice").vformat(day="Monday")
print(record)

This would output:

┌────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 0. System: ***  Hello, Alice. ***                                                                         │
│------------------------------------------------------------------------------------------------------------│
│ 1. User: Today is Monday.                                                                                 │
│------------------------------------------------------------------------------------------------------------│
│ 2. Assistant: How are you?                                                                                │
└────────────────────────────────────────────────────────────────────────────────────────────────────────────┘

More examples

Optional[System],(User,Asisstant)*n invariant:

# Initializing a conversation with an opening message
conversation = LMRecordStrings() @ "Hello, {name}. How can I assist you today?"

# Adding more records to the conversation
conversation @ "I need assistance with {topic}." @ "Certainly, what specific aspect of {topic} are you interested in?"

# Formatting the first record with the user's name
conversation = conversation.format(0, name="Alice")

# Formatting the second record (user's message) with the topic
conversation = conversation.format(1, topic="Python programming")

# Formatting the third record (assistant's message) with the same topic
conversation = conversation.format(2, topic="Python programming")

# Adding a user reply to the assistant's question
conversation @ "{aspect} of Python programming sounds challenging."

# Formatting the fourth record (user's message) with the specific aspect
conversation = conversation.format(3, aspect="asynchronous code execution")

# Let's add the assistant's final message
conversation @ "I can help you understand {concept} with some examples and explanations."

# Formatting the fifth record (assistant's message) with the specific concept
conversation = conversation.format(4, concept="asynchronous code execution")

# Print the entire conversation
print(conversation)

This will produce an output representing a back-and-forth conversation between the user and the assistant, with roles correctly alternating and messages formatted based on the arguments provided:

┌────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 0. System: ***  Hello, Alice. How can I assist you today? ***                                             │
│------------------------------------------------------------------------------------------------------------│
│ 1. User: I need assistance with Python programming.                                                       │
│------------------------------------------------------------------------------------------------------------│
│ 2. Assistant: Certainly, what specific aspect of Python programming are you interested in?                │
│------------------------------------------------------------------------------------------------------------│
│ 3. User: Asynchronous code execution of Python programming sounds challenging.                            │
│------------------------------------------------------------------------------------------------------------│
│ 4. Assistant: I can help you understand asynchronous code execution with some examples and explanations.  │
└────────────────────────────────────────────────────────────────────────────────────────────────────────────┘

V-Formatting

# Initializing a conversation with an opening message
conversation = LMRecordStrings() @ "Hello, {name}. How can I assist you today?"

# Adding more records to the conversation
conversation @ "I need assistance with {topic}." @ "Certainly, what specific aspect of {topic} are you interested in?"

# Adding a user reply to the assistant's question
conversation @ "{aspect} of {topic} sounds challenging."

# Let's add the assistant's final message
conversation @ "I can help you understand {concept} with some examples and explanations."

# Now, we use vformat to apply the formatting arguments to all records
formatted_conversation = conversation.vformat(
    name="Alice",
    topic="Python programming",
    aspect="asynchronous code execution",
    concept="asynchronous code execution"
)

# Print the fully formatted conversation
print(formatted_conversation)

This will produce an output similar to the one before, but this time we are formatting all the records in one go at the end, using the vformat method:

┌────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 0. System: ***  Hello, Alice. How can I assist you today? ***                                             │
│------------------------------------------------------------------------------------------------------------│
│ 1. User: I need assistance with Python programming.                                                       │
│------------------------------------------------------------------------------------------------------------│
│ 2. Assistant: Certainly, what specific aspect of Python programming are you interested in?                │
│------------------------------------------------------------------------------------------------------------│
│ 3. User: Asynchronous code execution of Python programming sounds challenging.                            │
│------------------------------------------------------------------------------------------------------------│
│ 4. Assistant: I can help you understand asynchronous code execution with some examples and explanations.  │
└────────────────────────────────────────────────────────────────────────────────────────────────────────────┘

The vformat method is particularly useful when you have multiple records that require similar arguments, and you want to apply the formatting in a single step. It streamlines the process and makes the code cleaner and more concise, especially when dealing with lengthy conversations.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_strings-0.1.3.tar.gz (9.9 kB view hashes)

Uploaded Source

Built Distribution

llm_strings-0.1.3-py3-none-any.whl (6.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page