A React design language in three themes: kajo is atmospheric and dark, sisu is dense and quick, savi is the light ground. One token vocabulary under all three.

Reduce token costs by compressing long conversations while preserving useful recent context.

Fetch web pages and return structured text, HTML, or JSON for LLM consumption.

Measure token usage and estimated cost across your pipeline with minimal setup.

Keep conversations bounded and relevant with simple, predictable message buffering.

Enforce safety and policy constraints early to block unsafe or out-of-scope requests.

Detect protocol-level mistakes early with runtime checks for message and tool-call invariants.

Register tool sets once and make them consistently available across your middleware pipeline.

Execute terminal commands safely from agents with scoped paths, timeouts, and command allow-listing.

Run simple DuckDuckGo-based web searches for lightweight lookup and grounding tasks.

Work with Azure Blob Storage from agents using tools for read, list, write, delete, and metadata.

Legacy compatibility middleware for provider-native tool call loops.

Run lightweight ReAct-style loops when you want plain-text action parsing and tool execution.

Express branching, routing, loops, and graphs in agent pipelines with explicit middleware control flow.

Automate GitHub Projects (v2) workflows with tools for listing, moving, and updating issues.

Work with AWS S3 from agents using safe tools for reading, listing, writing, and metadata access.

Prevent pipeline crashes by catching middleware errors and returning controlled fallbacks.

Summarize large text inputs through the active model for compact, LLM-friendly downstream use.

Deploy more safely with a checklist-driven skill that emphasizes validation and rollback readiness.

Orchestrate delegated multi-agent execution with scoped children, explicit traces, and policy hooks.