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Comprehensive LLM backend support Tools for Every Need

Get access to LLM backend support solutions that address multiple requirements. One-stop resources for streamlined workflows.

LLM backend support

  • AnyAgent

    AnyAgent is an open-source Mozilla AI framework for building customizable, memory-enabled and tool-integrated AI agents with planning capabilities.
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    What is AnyAgent?
    AnyAgent is a flexible agent framework that lets developers construct intelligent agents capable of reasoning, planning, and executing tasks across diverse domains. It offers a built-in planner for chaining actions, configurable memory stores for long-term context, and easy hookups to external tools and APIs. Through a simple declarative DSL, you can define custom skills, embed event logging, and swap between LLM backends seamlessly. Whether for customer support bots, data analysis assistants, or research prototypes, AnyAgent accelerates agent creation with robust architecture, modular components, and extensibility for real-world automation scenarios.
    AnyAgent Core Features
    • Declarative DSL for agent configuration
    • Built-in planning and chain-of-action engine
    • Long-term and short-term memory management
    • Pluggable external tool and API integration
    • Multi-LLM backend support
    • Event logging and analytics
    • Modular, extensible architecture
    AnyAgent Pro & Cons

    The Cons

    Agent frameworks may introduce complexity and security risks.
    Requires more computational power compared to traditional code-defined workflows.
    Limited to Python 3.11 or newer, restricting usage in older Python environments.

    The Pros

    Provides a single interface for multiple agent frameworks, simplifying integration.
    Open-source and actively maintained by Mozilla AI.
    Supports installation with optional dependencies for flexibility.
    Facilitates experimentation with different AI agent frameworks under a unified API.

  • ThreeAgents

    ThreeAgents is a Python framework that orchestrates interactions among system, assistant, and user AI agents via OpenAI.
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    What is ThreeAgents?
    ThreeAgents is built in Python, leveraging OpenAI's chat completions API to instantiate multiple AI agents with distinct roles (system, assistant, user). It provides abstractions for agent prompting, role-based message handling, and context memory management. Developers can define custom prompt templates, configure agent personalities, and chain interactions to simulate realistic dialogues or task-oriented workflows. The framework handles message passing, context window management, and logging, enabling experiments in collaborative decision-making or hierarchical task decomposition. With support for environment variables and modular agents, ThreeAgents allows seamless swapping between OpenAI and local LLM backends, facilitating rapid prototyping of multi-agent AI systems. It ships with example scripts and Docker support for quick setup.
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