AppDynamics Python AI Monitoring: Clarification Needed for CircuIT OpenAI-Compatible LLM Support and Missing LLM Metrics

[Narendra_Rao]

1. Does AppDynamics Python Agent 25.10.0.8329 support AI auto-instrumentation only for official OpenAI/Bedrock/LangChain SDK traffic, or also our internal cisco circuit  OpenAI-compatible endpoint (/openai/... style API)?
2. If our endpoint is API-compatible but uses non-OpenAI auth/header patterns, is it expected that enable-openai=true will not produce built-in AI Monitoring metrics?
3. Is there any Python Agent config to map non-OpenAI hostnames to OpenAI instrumentation?
4. Are there provider allowlists/signature checks in Python GenAI instrumentation that could exclude OpenAI-compatible gateways?
5. We see successful custom metric registration and reported=True emissions for LLM|..., but metrics are not visible/queryable. Are there controller-side filters/limits/path rules affecting Python custom metrics (INDIVIDUAL + RATE_COUNTER)?
6. What is the exact expected Metric Browser location and REST metric-path format for Python custom metrics created via appdynamics.agent.api.create_custom_metric(...) in SaaS 25.10?
7. Is there a known ingestion delay or minimum datapoint threshold before newly created custom metrics appear in UI/API?
8. If OpenAI-compatible gateways are not natively supported today, what is the recommended supported pattern to monitor LLM calls/tokens/latency in AppDynamics?
9. Is support for OpenAI-compatible third-party/internal endpoints on the roadmap? If yes, any ETA/version guidance?

1. Please confirm whether manual custom LLM|... metrics is the correct workaround until native support is available.