Papaya
Continuous optimization for AI agents.
Papaya analyzes production traces of AI agents to surface improvements in quality, latency, and cost. It reads traces across prompts, context, tools, models, and outcomes, clusters recurring behavior across runs, and ranks recommendations by expected impact, with evidence tied to the specific runs behind each finding.
It connects through an SDK that wraps any LLM or agent client, direct integrations with observability tools, or shared datasets in any format. Capabilities include automated trace detection, workflow identification, observability dashboards, an interactive LLM Judge for building evaluation rubrics, Slack alerts, and automated pull request creation for approved fixes. Analysis covers prompt and planning, context and memory, tool execution reliability, cost and model routing, and evidence-backed validation.
Papaya is packaged in three editions: a free Developer plan covering one agent with a monthly trace allowance, a Business plan for up to three agents with a larger trace allowance and automated PRs and Slack integration, and a custom Enterprise plan adding unlimited agents, PII redaction, SLA guarantees, and dedicated support.
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