{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/5"}],"enrichment":{"capability":"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.","skillfed_tags":["unique-platform","ai-application-framework","chat-abstraction"],"use_cases":["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."],"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\u2014chat, content, embedding, language model, and short-term memory\u2014each 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.\n\nThe 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.","worth_installing":"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."},"id":"unique-toolkit","links":{"html":"https://skillfed.io/packages/unique-toolkit","md":"https://skillfed.io/packages/unique-toolkit.md","pypi":"https://pypi.org/project/unique-toolkit/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"unclear","name":"unique-toolkit","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":117101,"position":12181,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.34.0"}