Awesome AI AgentsAI Agent Deployment

palico-ai/palico-ai

⭐ 343 TypeScript added to this list on 2025-03-09 repository created 2024-03-12

Palico AI is an integrated framework designed to facilitate the iterative development, performance improvement, and production deployment of Large Language Model (LLM) applications. It addresses the complexities involved in building LLM applications by providing a comprehensive tech stack that supports continuous experimentation with different models, prompts, retrieval-augmented generation (RAG) datasets, call chaining, and custom code. The framework offers complete flexibility to developers, allowing them to build any LLM application by implementing a simple Chat function. It supports advanced features such as streaming messages, memory management for conversation states, tool executions for client and server-side agents, feature flags for runtime swapping of models and logic, and monitoring through detailed logs and traces. Palico AI integrates seamlessly with popular tools and libraries in the LLM ecosystem, including Langchain, LlamaIndex, Portkey, OpenAI, Anthropic, Cohere, Azure, AWS Bedrock, GCP Vertex AI, Pinecone, PG Vector, and Chroma. This extensive integration capability ensures that developers can leverage their preferred services and databases while using Palico as the core framework. The framework also includes a Playground UI for local preview and testing of changes, enabling rapid development cycles. It supports continuous integration and pull-request previews, making it suitable for production environments. Additionally, Palico provides tools for creating experiments and evaluations to systematically improve application performance, along with client SDKs and REST APIs for frontend integration. A control panel called Palico Studio is available for managing applications efficiently. Overall, Palico AI is a powerful and flexible solution for developers looking to build, optimize, and deploy LLM applications with ease, offering a rich set of features to handle the iterative nature of LLM development and deployment.

https://github.com/palico-ai/palico-ai

aianthropicautogenaws-bedrockazurechat-functionchromaclient-sdkscoherecontinuous-integrationcontrol-paneldockerevaluationsexperimentsfeature-flagsfull-stackgcp-vertex-aiintegrated-frameworkiterative-developmentjavascriptlangchainlangchain-jsllamaindexllmllm-agentllm-applicationllm-evaluationllm-frameworkllm-observabilitylogsmemory-managementmonitoringnodejsopenaipalico-studioperformance-improvementpg-vectorpineconeplayground-uiportkeyproduction-deploymentpull-request-previewsragrest-apistreamingtool-executionstracestypescript

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