VertexAI instrumentor traces calls made with the Vertex AI SDK (vertexai, shipped in google-cloud-aiplatform) — model, token usage, and content — as OTLP spans. Point the exporter at AgentMark and the traces arrive normalized.
Setup
Point the exporter at AgentMark and instrument Vertex AI
Use your AgentMark API key and app id from project settings.
Run your calls
Initialize Vertex AI for your project, then use a model as usual —
model.generate_content(...). Each call arrives in AgentMark as a span, grouped into a trace. See Traces and logs.What AgentMark captures
Vertex AI spans use the OpenInference attribute conventions — model, token usage, input and output content, and span kind are all mapped onto AgentMark’s normalized trace fields, and token counts feed cost tracking. See OpenInference for the full attribute mapping.Next steps
OpenInference
How AgentMark reads OpenInference attributes
Traces and logs
Explore traces once they arrive
Have questions?
Reach out any time:
- Email us at hello@agentmark.co for support
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