Back to Ecosystem Pulse
OperationsProduction Ready
coze-loop
by coze-dev
Full-lifecycle agent ops: development, evaluation, and observability
Go
Updated Feb 12, 2026
Share:
Summary
Provides full-lifecycle management for AI agents, covering development, debugging, evaluation, and monitoring. Combines runtime observability with built-in evaluation hooks so you can run experiments, collect interaction logs, and surface failure modes. Ships as a Go platform focused on agent telemetry, prompt/playground tooling, and continuous evaluation pipelines. evaluation hooks and continuous evaluation pipelines.
Why It Matters
As agent fleets become more autonomous, operators need end-to-end visibility into interactions, failures, and long-running performance trends. end-to-end visibility into interactions, failures, and long-running performance trends.
When to Use
Teams running production or pre-production agent fleets who need integrated monitoring, debugging, and continuous evaluation. integrated monitoring
Applications
- Run continuous agent evaluations and collect interaction traces for regression analysis
- Instrument multi-agent systems to surface failure modes and prompt/response logs
- Debug and iterate on agent prompts and policies in a reproducible playground before deployment
Works With
langchainopenaieino
Topics
agentagent-evaluationagent-observabilityagentopsaicozeeinoevaluationlangchainllm-observability+7 more
Similar Tools
agentplaygroundrepkit
Keywords
multi-agent trustagent-evaluationagent-observabilityagentops