Routing, chaining, and orchestrating multiple AI models
Multi-Model Orchestration's API now features enhanced rate limiting and quota management for improved performance and stability.
Multi-Model Orchestration now supports advanced prompt templating for dynamic and reusable AI workflow components.
The Multi-Model Orchestration API's batch processing endpoint has been updated to support asynchronous operations and offer enhanced control.
Multi-Model Orchestration now provides real-time confidence scoring for all model inferences.
Multi-Model Orchestration now offers advanced model versioning to improve deployment stability and management.
A new API endpoint for Multi-Model Orchestration has been released to significantly improve batch processing efficiency.
The beta release of Multi-Model Orchestration API v2.1 offers streamlined querying and enhanced batch processing.
Multi-Model Orchestration now supports 'InsightAnalyzer v3.1' and 'PredictiveFlow 2.0' for advanced data analysis and forecasting.
API version 2.1 for Multi-Model Orchestration is now live, featuring improved error handling, new management endpoints, and streamlined request structures.
Multi-Model Orchestration introduces a new inference engine to significantly boost model execution speed and reduce latency.
Multi-Model Orchestration now supports additional AI models and features performance optimizations for faster inference.
Multi-Model Orchestration introduces a new API endpoint to improve batch processing efficiency and throughput.
MMO has updated its pricing to offer more scalable and flexible tiers, including an expanded free tier.
New features allow MMO agents to integrate more easily and securely with a broader range of external tools and services.
Multi-Model Orchestration's new caching feature cuts costs and speeds up inference by storing results.
New GPU optimizations in Multi-Model Orchestration dramatically improve inference speed for LLMs.
A new advanced caching feature has been added to Multi-Model Orchestration to significantly reduce model inference times and latency.
Multi-Model Orchestration's API v2.1 introduces enhanced data validation features for improved data integrity and workflow efficiency.
New granular access control features have been implemented to enhance platform security and data protection.
Multi-Model Orchestration has updated its pricing with new tiered services and subscription plans to offer greater flexibility and cost-effectiveness.
Multi-Model Orchestration's latest update introduces enhanced agent capabilities through improved tool integration, allowing for more complex task execution.
Multi-Model Orchestration introduces new, flexible pricing tiers for its Enterprise solution to better accommodate larger organizations.
Multi-Model Orchestration now offers GPU acceleration to boost inference speeds and reduce latency for complex workloads.
LiteLLM 1.30 adds automatic model fallback chains and per-user budget alert webhooks.