Enterprise AI agents can’t be governed with logs alone.
When an agent makes 10 LLM calls, invokes 5 tools, talks to 3 other agents, and takes action in production, you need to answer:
🔍 Why did it do that?
💰 What did it cost?
🛡️ Was it compliant?
📊 How did it perform?
🔗 Which workflow triggered it?
That’s why distributed tracing isn’t observability theater—it’s the foundation for enterprise agent governance.
Forge v0.14.0 🚀
📡 End-to-End OpenTelemetry Tracing for AI Agents
🔗 Multi-Agent A2A flows appear as a single distributed trace
🤖 Automatic tracing for LLM calls, tool execution, and outbound APIs
📊 GenAI semantic conventions for token usage, model attribution, and cost analysis
🛡️ Audit ↔ Trace correlation with trace_id and span_id on every audit event
🏛️ Governance-ready visibility for security, compliance, evaluations, and operations
☸️ OTLP collector auto-added to egress policy and Kubernetes deployments
⚡ Works with Tempo, Jaeger, Honeycomb, Datadog, Grafana Cloud, and any OTLP backend
The best part?
No manual instrumentation.
Forge agents are automatically instrumented end-to-end—from the inbound A2A request to every model call, tool invocation, downstream agent hop, and external API request.
One trace. Complete lineage. Production ready.
45 files changed. 5.5k lines added. 8 issues closed.
Full release notes →
go.useforge.ai/rel-v0140
#OpenTelemetry #A2A #AIAgents #AgentOps #Observability #OpenSource #useforge #initializ