Skip to main content

Package with base functionality for llm text creation

Project description



sinapsis-chatbots-base

Package with base support for chat completion tasks

🐍 Installation🚀 Features📚 Usage example📙 Documentation🔍 License

The sinapsis-chatbots-base module provides core functionality for llm chat completion tasks

🐍 Installation

Install using your package manager of choice. We encourage the use of uv

Example with uv:

  uv pip install sinapsis-chatbots-base --extra-index-url https://pypi.sinapsis.tech

or with raw pip:

  pip install sinapsis-chatbots-base --extra-index-url https://pypi.sinapsis.tech

[!IMPORTANT] Templates may require extra dependencies. For development, we recommend installing the package with all the optional dependencies:

with uv:

  uv pip install sinapsis-chatbots-base[all] --extra-index-url https://pypi.sinapsis.tech

or with raw pip:

  pip install sinapsis-chatbots-base[all] --extra-index-url https://pypi.sinapsis.tech

🚀 Features

* LLMTextCompletionBase: Base class for all templates intended to perform chat (text) completion tasks
🌍 General Attributes

These attributes apply to `LLMTextCompletionBase``:

  • llm_model_name(Required): Name of the LLM to use.
  • n_ctx(Required): Maximum context size.
  • role: Role in the conversation (system, user, or assistant, default: assistant)
  • system_prompt (Optional): Defines the personality of the LLM (e.g., you are a python expert)
  • prompt: Custom instructions to guide the LLM response (default: empty).
  • chat_format: Chat message format (llama-2, chatml, etc., default: chatml).
  • context_max_len: Maximum conversation context length (default: 6).
  • pattern: Regex pattern to match delimiters (default: handles <|...|> and </...>).
  • keep_before: Determines which part of the matched text to return (default: True)
* QueryContextualizeFromFile: Template that adds a certain context to the query searching for keywords in the Documents added in the generic_data field of the DataContainer

[!TIP] Use CLI command sinapsis info --all-template-names to show a list with all the available Template names installed with Sinapsis Data Tools.

[!TIP] Use CLI command sinapsis info --example-template-config TEMPLATE_NAME to produce an example Agent config for the Template specified in TEMPLATE_NAME.

For example, for QueryContextualizeFromFile use sinapsis info --example-template-config QueryContextualizeFromFile to produce the following example config:

agent:
  name: query_contextualize_template
templates:
- template_name: InputTemplate
  class_name: InputTemplate
  attributes: {}
- template_name: QueryContextualizeFromFile
  class_name: QueryContextualizeFromFile
  template_input: InputTemplate
  attributes:
    keywords: '`replace_me:list[str]`'
    generic_keys: '`replace_me:list[str]`'

📚 Usage example

The following agent passes a text message through a TextPacket and checks if there is context with the chosen keyword
Config
agent:
  name: chat_completion
  description: Agent with a chatbot that makes a call to the LLM model using a context uploaded from a file

templates:
- template_name: InputTemplate
  class_name: InputTemplate
  attributes: { }
- template_name: PyPDFLoaderWrapper
  class_name: PyPDFLoaderWrapper
  template_input: InputTemplate
  attributes:
    add_document_as_text_packet: false
    pypdfloader_init:
      file_path: '/path/to/a/file.pdf'

- template_name: TextInput
  class_name: TextInput
  template_input: PyPDFLoaderWrapper
  attributes:
    text: what is AI?
- template_name: QueryContextualizeFromFile
  class_name: QueryContextualizeFromFile
  template_input: TextInput
  attributes:
    keywords: 'Artificial Intelligence'
    generic_keys: 'PyPDFLoaderWrapper

📙 Documentation

Documentation for this and other sinapsis packages is available on the sinapsis website

Tutorials for different projects within sinapsis are available at sinapsis tutorials page

🔍 License

This project is licensed under the AGPLv3 license, which encourages open collaboration and sharing. For more details, please refer to the LICENSE file.

For commercial use, please refer to our official Sinapsis website for information on obtaining a commercial license.

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

sinapsis_chatbots_base-0.1.8.tar.gz (25.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sinapsis_chatbots_base-0.1.8-py3-none-any.whl (26.3 kB view details)

Uploaded Python 3

File details

Details for the file sinapsis_chatbots_base-0.1.8.tar.gz.

File metadata

File hashes

Hashes for sinapsis_chatbots_base-0.1.8.tar.gz
Algorithm Hash digest
SHA256 839bcbb3287c90cdf7f31208c5bca5a49caad69badc5c3fc5b6ae0cc1dfd37ed
MD5 4fdac7f2a2ec981d25b51a25d35aec27
BLAKE2b-256 ff0572cdd78adab9bcdf9efd4e38e06cd4b1b56ead53fb61788e28af2e9dc60d

See more details on using hashes here.

File details

Details for the file sinapsis_chatbots_base-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for sinapsis_chatbots_base-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 ccf4429b61d8304ff8b8060d8110c328f477c83adecdb68b7a437c443bab5312
MD5 0204ce00b51687e6a51bc01e0a460140
BLAKE2b-256 5ad3c98c66878be442fa32d058274051ae670c81a899ef1f555878b203da2915

See more details on using hashes here.

Supported by

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