Browse Kotlin Multiplatform libraries

Framework designed for building AI agents with tool interaction, complex workflows, semantic search, and persistent memory. Offers modular architecture, real-time processing, and comprehensive tracing.

Integrates modern AI capabilities, including large language models and image generation, into applications. Offers core libraries for essential AI services and complementary library integrations, inspired by LangChain and Hugging Face projects.

Tracing, monitoring and evaluating AI features via a unified API that captures structured traces, follows OpenTelemetry Generative AI semantics, auto-instruments popular AI clients, and exports to observability backends.

Enables effortless chatbot creation and integration with customizable UI and behavior. Leverages advanced natural language processing capabilities. Supports both Android and iOS platforms for consistent user experiences.

BPE tokenizer designed for seamless integration with OpenAI models, supporting local and remote modes for encoding management. Offers multiplatform compatibility and flexible setup options.

Observability-first multi-agent framework emitting structured, queryable events for each cognitive phase, enabling real-time reactive coordination, auditable reasoning, memory-as-events, and human escalation on low confidence.

Facilitates development of applications powered by large language models, offering interfaces for chat API providers, respondents, and chat models, with streaming capabilities and context-building tools.

Empowers developers to create and manage AI agents with a streamlined DSL, offering error handling, logging, and integration with the ecosystem to transition from PoC to production.

Shared transport and config for OpenAI APIs, offering typed and raw endpoints (chat, responses, embeddings, images, audio, files, realtime, fine-tuning) with multipart and websocket support.

AI client enables interaction with OpenAI's API, supporting features like chat, images, and embeddings. Offers multiplatform capabilities, utilizing coroutines, and provides extensive guides and setup instructions.

Multiplatform client enhances OpenAI API integration by resolving errors with the Gemini API, utilizing coroutines for efficient asynchronous programming. Adapted from an existing client.

Enables automatic detection of file content types for binary data, streamlining API interactions by setting MIME types and encoding data as base64 strings for AI platforms.

Facilitates seamless connection to multiple AI providers through a user-friendly API client. Includes customizable settings, asynchronous execution, and provider-specific configurations for enhanced flexibility.

Offers a library for interacting with OpenAI APIs, featuring a clean, testable interface. Utilizes Ktor and Kotlinx Serialization for seamless integration and API communication.

Transparent proxy converting non-stream OpenAI Responses and Chat Completions requests into SSE upstream streams, aggregating events in memory and returning single JSON responses, while passing through streaming requests unchanged.

Enables OpenAI chat and assistant flows with integrated functions support, facilitating seamless interaction and automation within chat applications.

Facilitates interaction with OpenAI's API, supporting multiplatform capabilities and coroutines. Features include models, chat, images, embeddings, files, fine-tuning, moderations, and audio management.

Library enables interaction with multiple large language model providers via a unified interface. Features include consumer-friendly API, secured key management, HTTP client flexibility, streaming capabilities, and configurable retry policies.

Offering asynchronous, feature-rich access to OpenAI's API for chat, images, embeddings, files, fine‑tuning, moderation and audio, plus ProGuard rules, sample apps and guides.

Lightweight OpenAI API client offering idiomatic, async-friendly calls for completions, chat, streaming and file uploads, plus simple configuration and request/response mapping.

OpenAI-compatible SDK offering chat completions (streaming and non-streaming), text embeddings, model browsing across 40+ models, SSE streaming, thread-safe singleton, and API-key redaction.

Runs as an MCP server over stdio, implementing audio processing, subtitle‑to‑LRC and WAV→MP3 conversion, shell command execution, image understanding via Vision API, plus resource/prompt declarations.

Derives OpenAI function-tool schemas from serialization descriptors, turning sealed request hierarchies into SDK tool declarations and decoding model function calls into typed request objects.

Multifaceted AI tooling library delivering typed agent and tool contracts, streaming text and structured outputs, provider/gateway adapters, embeddings and media primitives, telemetry, mocks, and utilities.

One-line audio recording, easy playback and OpenAI Whisper transcription via coroutine-style API; live waveforms, Compose-ready state/UI components, permission handling and WAV file I/O.

Unifies diverse LLM providers behind a single OpenAI-style API: streaming-first chat/embeddings/voice/realtime/batch modalities, per-model health-aware fallback chains, outbound control-plane auth and extensibility.