multi-step

AgentRouter is a lightweight classifier for routing steps in agentic workflows to different model tiers, achieving 72% cost reduction with minimal quality degradation compared to frontier-only models.

A user on r/LLMDevs discusses the challenge of attributing costs in multi-step AI agent runs, where SDK logging only reflects final results, making it hard to identify which step is burning the budget.

pi-workflow is a workflow orchestration tool designed for the Pi AI assistant, enabling it to execute multi-step, repeatable workflows, including deep research, code review, specification check, and impact assessment. It defines workflows as JSON stage graphs and supports multiple execution modes.

Step 3.7 Flash is a compact model that handles vision, live data retrieval, and code generation to autonomously build a working dashboard from a screenshot in minutes, costing about 50 cents per session.

FAPO is a framework for fully autonomous prompt optimization of multi-step LLM pipelines, combining prompt editing and structural changes. It outperforms the GEPA baseline in 15 of 18 comparisons, with gains up to +33.8 pp on security tasks.

A developer built Ghost in the Loop, an open-source tool that automates continuing multi-step AI conversations across platforms, exploring the value and risks of reducing human intervention.

A developer shares the challenge of debugging multi-step agents in production, where failures are hard to trace due to complex tool use and confident wrong answers, and asks the community for better monitoring and regression detection approaches.

Mistral Vibe is an AI agent designed for long-running, multi-step work and coding tasks.

Buildpipe is a tool for composing, running, and automating multi-step AI developer workflows.