Trefur
Product
AI agent observability platform for engineering teams, tracing decisions, tool calls, retries, and outcomes.
- Currently Offered
AI agent observability platform for engineering teams, tracing decisions, tool calls, retries, and outcomes.
Trefur is an AI agent observability platform for engineering teams shipping agents to production. It records connected traces spanning agent decisions, model calls, tool use, retries, and outcomes.
Teams use the platform to debug runs, track costs, and route alerts across model vendors. Its OpenTelemetry-native design and self-hostable collector let teams add agent monitoring alongside existing backends.
Agent observability service that records every production agent trace and finds silent failures without sampling.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
Unified observability platform for investigating production software with high-cardinality telemetry across traces, metrics, and logs.
Observability and evaluation platform for shipping quality AI agents at scale.
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Agent observability service that records every production agent trace and finds silent failures without sampling.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
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Unified observability platform for investigating production software with high-cardinality telemetry across traces, metrics, and logs.
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Open-source AI observability and evaluation toolkit for Jupyter, local scripts, and LLM applications.
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