Skip to main content

A framework for writing Unstract Tools/Apps

Project description

Unstract

No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

Unstract SDK

The unstract-sdk package helps with developing tools that are meant to be run on the Unstract platform. This includes modules to help with tool development and execution, caching, making calls to LLMs / vectorDBs / embeddings .etc. They also contain helper methods/classes to aid with other tasks such as indexing and auditing the LLM calls.

Installation

  • The below libraries need to be installed to run the SDK
    • Linux

      sudo apt install build-essential pkg-config libmagic-dev tesseract-ocr pandoc
      
    • Mac

      brew install pkg-config libmagic pandoc tesseract-ocr
      

Tools

Create a scaffolding for a new tool

Example

unstract-tool-gen --command NEW --tool-name <name of tool> \
 --location ~/path_to_repository/unstract-tools/ --overwrite false

Supported commands:

  • NEW - Create a new tool

Environment variables required for all Tools

Variable Description
PLATFORM_SERVICE_HOST The host in which the platform service is running
PLATFORM_SERVICE_PORT The port in which the service is listening
PLATFORM_SERVICE_API_KEY The API key for the platform
TOOL_DATA_DIR The directory in the filesystem which has contents for tool execution

Llama Index support

Unstract SDK 0.3.2 uses the following version of Llama Index Version 0.9.28 as on January 14th, 2024

Developing with the SDK

Ensure that you have all the required dependencies and pre-commit hooks installed

pdm install
pre-commit install

Once the changes have been made, it can be tested with Unstract through the following means.

With PDM

Specify the SDK as a dependency to a project using a tool like pdm by adding the following to your pyproject.toml

[tool.pdm.dev-dependencies]
local_copies = [
    "-e unstract-adapters @ file:///${UNSTRACT_ADAPTERS_PATH}",
    "-e unstract-sdk @ file:///${UNSTRACT_SDK_PATH}",
]

Or by running the below command

pdm add -e /path/to/unstract-sdk --dev

With pip

  • If the project is using pip it might be possible to add it as a dependency in requirements.txt
-e /path/to/unstract-sdk

NOTE: Building locally might require the below section to be replaced in the unstract-sdk's build system configuration

[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
  • Another option is to provide a git URL in requirements.txt, this can come in handy while building tool docker images. Don't forget to run apt install git within the Dockerfile for this
unstract-sdk @ git+https://github.com/Zipstack/unstract-sdk@feature-branch
  • Or try installing a local PyPI server and upload / download your package from this server

Environment variables required for various LLMs (deprecated)

  • Azure OpenAI
    • OPENAI_API_KEY
    • OPENAI_API_BASE
    • OPENAI_API_VERSION
    • OPENAI_API_ENGINE
    • OPENAI_API_MODEL

Documentation generation

Follow this README.md for generating documentation.

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

unstract_sdk-0.52.0.tar.gz (150.2 kB view details)

Uploaded Source

Built Distribution

unstract_sdk-0.52.0-py3-none-any.whl (236.9 kB view details)

Uploaded Python 3

File details

Details for the file unstract_sdk-0.52.0.tar.gz.

File metadata

  • Download URL: unstract_sdk-0.52.0.tar.gz
  • Upload date:
  • Size: 150.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: pdm/2.12.3 CPython/3.8.10

File hashes

Hashes for unstract_sdk-0.52.0.tar.gz
Algorithm Hash digest
SHA256 7b490db0a4c9fc33bff20ebaf1b4ed2ef7a25d8179dcd36dfb79a5301ce72eb2
MD5 02e7b31443d10c03c801612d6eb71308
BLAKE2b-256 130e7c4294a0a4ec090bf8405c803eef6012a1daa3069c3f8124bbce3e854be7

See more details on using hashes here.

File details

Details for the file unstract_sdk-0.52.0-py3-none-any.whl.

File metadata

File hashes

Hashes for unstract_sdk-0.52.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4638febf36cf271351da765969defc17484e13541332aac16b80bd3b2245ac38
MD5 86f96164de05a21cefa3f5a6edd897cf
BLAKE2b-256 f41567f4a36f1baa3b8d7541505e8fee3b5f5da64eb95363eaebf329148ce72e

See more details on using hashes here.

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