ogx-ai/llama-stack-appsArchived

Features

• Agentic Frameworks - Provides a comprehensive framework for building autonomous AI applications by coordinating model inference and tool execution.
• Agentic Orchestration Loops - Provides an orchestration loop that manages continuous cycles of reasoning and tool execution for autonomous task completion.
• Agent Task Orchestrators - Manages state and continuous inference loops to decompose complex goals into multi-step agent workflows.
• Agentic Workflow Orchestration - Provides a framework for building autonomous systems that coordinate reasoning and tool execution to solve complex goals.
• Agent Orchestration - Orchestrates models and agents through a unified interface to build applications capable of decomposing complex goals.
• AI Integration Tools - Connects language models to external runtime definitions and function calls to extend their capabilities.
• AI Safety Guardrails - Enforces system-level content protections using safety guardrails to filter model inputs and outputs.
• LLM Tooling Integrations - Maps model-generated function requests to external runtime definitions to execute actions beyond text generation.
• External Tool Integration - Extends model functionality by integrating external APIs and runtime definitions for action execution.
• Llama Stack Application Frameworks - Provides a framework for building AI applications that integrate LLMs with external tools and services using Llama Stack APIs.
• RAG Context Retrieval - Retrieves relevant document embeddings from vector databases to ground model responses with external knowledge.
• RAG Implementations - Implements architectures that retrieve relevant documents from vector stores to augment LLM prompt context.
• Reasoning Chains - Decomposes high-level objectives into sequential reasoning chains for structured multi-step processing.
• Vector-Database-Backed Retrievals - Uses vector indices to perform semantic similarity searches for injecting external knowledge into model prompts.
• Vector Database Integrations - Integrates with vector databases to retrieve high-dimensional embeddings for grounded query answering.
• Agentic Workflow Orchestrators - Coordinates multi-step agentic workflows using a framework that integrates model inference, tool calls, and safety guardrails.
• Model Safety Filters - Ships validation layers that use dedicated safety models to block or sanitize model inputs and outputs.
• Input and Output Guardrails - Implements middleware that filters model inputs and outputs against safety rules to enforce system-level content protections.
• Hybrid Tool Dispatching - Routes model-generated requests to external runtime definitions to perform actions beyond text generation.
• Tool-Call Dispatchers - Maps model-generated function requests to external runtime definitions to execute actions beyond text generation.
• Interactive Agent Chat Interfaces - Supports interaction via multiple interfaces, including programmatic scripts and graphical chat interfaces.
• Multi-Interface Architectures - Uses a unified API layer to expose agentic logic across multiple interaction points, including programmatic scripts and chat interfaces.
• Service Layers - Provides a unified service layer that decouples agentic business logic from programmatic and graphical interfaces.

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