agent-tracerRecord every tool call into agent-tracer (self-hosted FastAPI), then run regression testing (golden case → drift detection), attribute token costs by tool/model/agent, and surface recurring error root causes across sessions. Use when an agent must log its actions, verify behavior hasn't drifted, report spend, or debug repeated failures.
Install via ClawdBot CLI:
clawdbot install wholegale39/agent-tracerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/wholegale39/agent-tracerAudited Sep 8, 2026 · audit v1.0
Generated Sep 8, 2026
A company deploys AI agents for customer support. They use agent-tracer to record every tool call and promote successful runs as golden cases. After each deployment, new runs are automatically checked for drift, ensuring that updates do not introduce regressions, such as changed tool ordering or missing parameters.
An enterprise runs multiple AI agents across departments (sales, HR, engineering) using different models. agent-tracer's cost summary by agent, model, and tool allows them to allocate cloud spend accurately to teams and optimize model choices based on cost per task.
A financial firm uses robotic process automation (RPA) agents to automate data entry and account reconciliation. Errors occur sporadically; using agent-tracer's error aggregation, they identify that most errors are timeouts after a normalized duration, pinpointing a specific external API bottleneck.
A pharma company has research agents that search scientific literature and extract data. agent-tracer logs each search and comparison, enabling scientists to trace exact data sources and verify that the agent's methodology hasn't changed over time, ensuring reproducibility of research outputs.
An e-commerce platform uses a chatbot for order tracking and returns. They set up cron jobs to run drift-report daily, comparing every chatbot session against golden cases to detect any behavioral drift that could impact customer satisfaction, such as changes in response parameters.
Offer agent-tracer as an open-source project under MIT license. Provide free self-hosted usage, and charge for hosted cloud services with additional features like advanced analytics, multi-project support, and SLA guarantees.
Provide agent-tracer as a fully managed SaaS platform. Price based on the volume of traces and spans recorded, with tiered plans for small teams to enterprises. Include advanced features like long-term data retention and AI-driven insights.
Sell enterprise licenses to large organizations with on-premise deployment, custom integrations with their existing observability stack (like Datadog, Grafana), and dedicated training. Offer premium support and custom feature development.
💬 Integration Tip
Set the TRACER_BASE_URL environment variable to point to your agent-tracer instance, and wrap your agent's tool calls with simple curl POST requests to add tracing.
Scored Sep 8, 2026
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