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We are pleased to announce the release of Swarms 7.8.0, one of our most comprehensive updates EVER.
This update delivers substantial enhancements, including optimized multi-tool functionality with callable support, expanded MCP compatibility, and a range of additional improvements designed to elevate performance and user experience.
Learn More⬇️ 🧵
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Agent Tooling Enhancements in Swarms 7.8.0 🛠️
The Swarms 7.8.0 release significantly optimizes agent tool performance, achieving a tool execution latency reduction of up to 7x. Tool invocation now supports streamlined integration of typed, docstring-annotated callable functions. Key improvements include:
We're excited to announce major enhancements to the Swarms API! Introducing intelligent dynamic caching, flex processing, a powerful new agent completion endpoint, and more!
Learn More Now ⬇️🧵
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Introducing Flex Processing 🌊
Flex Processing is a cost-optimized tier in the Swarms API designed for non-urgent AI workloads. It offers significant cost savings through a combination of token discounts and intelligent processing features.
Key Features:
• 75% discount on input and output token costs
• 75% night-time discounts (8PM-6AM PST)
• Automatic retries with exponential backoff (up to 3 attempts)
• Extended timeout window (15 minutes vs 5 minutes in standard tier)
• Perfect for batch processing and background tasks
Use Cases:
• Large-scale data processing
• Non-time-sensitive AI tasks
• Batch operations
• Cost-sensitive applications
• Background processing jobs
The Flex Processing tier automatically handles resource constraints and implements smart retry logic, making it ideal for applications where immediate response time isn't critical but cost efficiency is paramount.
Our system automatically caches agent completions with smart TTL and cleanup. Run agents faster, reduce costs, and scale efficiently.
Description:
• Smart TTL (Time-To-Live) of 5 minutes for cached results
• Automatic cache cleanup every 60 seconds
• Memory-efficient with size limits and LRU eviction
• Caches both agent configurations and completion results
• Reduces API calls and token usage
• Improves response times for repeated queries
• Supports concurrent requests with thread-safe operations
Our ultimate vision is to automate the world-economy by providing enterprise-grade infrastructure organizations need to build, deploy, and scale agents.
We're equipping organizations with powerful SDKs, flexible frameworks, and robust APIs to seamlessly integrate agents into their applications.
Explore our suite of tools and get started now ⬇️🧵
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Swarms Python Framework 🤖🐍🤖
Our Python framework is our most battle-tested solution, built over 4 years and thousands of iterations.
⎆ Build and configure agents with extreme precision using names, system prompts, tools, RAG, and much more
⎆ Select from our orchestration mechanisms like SequentialWorkflow or ConcurrentWorkflow for multi-agent collaboration
⎆ Deploy scalable agent applications with enterprise-grade reliability and performance
ReasoningAgentRouter abstracts and orchestrates powerful reasoning agents — including Reasoning Duo, Self-Consistency, Iterative Reflective Expansion aGENT, and Agent-as-a-Judge — enabling users to select the optimal reasoning method for each task.
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System Architecture Overview:
The ReasoningAgentRouter hosts a vast selection of specialized reasoning swarms such as: