unique-toolkit

What it is and what it does

unique-toolkit is a wrapper library built on top of unique_sdk that exposes high-level services and utilities for developers building applications on the Unique Platform. It organizes functionality into five domains—chat, content, embedding, language model, and short-term memory—each with schemas, functions, and utilities. The primary entry points are ChatService (for chat interface interactions) and KnowledgeBaseService (for knowledge base operations), which abstract away lower-level SDK details and provide a more developer-friendly API.

The package includes utilities for common tasks: converting chat history to injectable strings, parsing language model outputs, managing content chunks, calculating text similarity, and initializing logging and SDK configuration. It depends on a substantial stack including pydantic for validation, openai for language model access, numpy and pandas for data handling, and several other utilities. It is actively maintained and supports current Python versions (3.12+), though its proprietary license status requires verification before production use.

Use it for:

• Build a chatbot or conversational AI application using ChatService to manage message history and interact with the Unique Platform's chat interface.
• Ingest, parse, and manage textual content in a knowledge base using KnowledgeBaseService and content utilities like chunk merging and sorting.
• Integrate language model completions into applications by leveraging language_model functions and utilities to parse and handle model responses.
• Calculate text similarity and embeddings for semantic search or content retrieval using the embedding module (note: marked for deprecation).
• Initialize and secure applications for Unique Platform interaction using app module functions for logging, SDK setup, and event verification.
• Convert and manipulate chat history objects for injection into prompts or assistant workflows using chat utilities.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides high-level abstractions and services (ChatService, KnowledgeBaseService) for building applications on the Unique Platform, wrapping the underlying unique_sdk with domain-specific schemas and utilities for chat, content, embeddings, language models, and short-term memory.

Yes, if you are building on the Unique Platform and need a higher-level abstraction over unique_sdk. The package is actively maintained, installs with low friction, and provides well-organized services for common tasks. However, verify the proprietary license terms before production deployment, and be aware that the 29 runtime dependencies (including heavy packages like numpy, pandas, and openai) will add to your environment footprint. No known security vulnerabilities as of the latest check.

Install

unique-toolkit on PyPI

pip install unique-toolkit

uv add unique-toolkit

poetry add unique-toolkit

Installing unique-toolkit

Before you install

Active maintenance with a release as recent as 2026-08-14. Requires Python 3.12 or later. Installs as a pure-Python wheel with low friction, though it carries 29 runtime dependencies including heavy packages like numpy, pandas, openai, and pydantic, which may add setup time in constrained environments.

License in practice

Licensed as Proprietary with unclear treatment. Users should verify licensing terms directly with the package maintainer before deploying in production or commercial contexts, as proprietary licenses typically restrict redistribution and modification.

Quickstart

pip install unique-toolkit

from unique_toolkit import ChatService, KnowledgeBaseService

# Initialize services for interacting with Unique Platform
chat_service = ChatService()
knowledge_base_service = KnowledgeBaseService()

Requires Python 3.12 or later. Depends on unique_sdk and openai; you must configure appropriate credentials and environment variables for the Unique Platform and OpenAI integration.

Verify before relying

• Whether the proprietary license permits commercial use, redistribution, or modification without explicit agreement
• Specific version compatibility between unique-toolkit and unique_sdk across releases
• Performance characteristics and latency of ChatService and KnowledgeBaseService under production load
• Whether EmbeddingService deprecation affects existing deployments and what the recommended migration path is

Package facts

Evidence: unique_toolkit-2026.34.0-py3-none-any.whl

Tags

More Application Frameworks packages