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+# OpenTelemetry GenAI instrumentation sample
+
+The community project [otel-genai-bridges](https://github.com/dineshkumarkummara/otel-genai-bridges) includes a .NET library (`SkOtel`) and sample (`dotnet/samples/sk-chat`) that instrument Semantic Kernel applications using the [OpenTelemetry Generative AI semantic conventions](https://github.com/open-telemetry/semantic-conventions/tree/main/docs/gen-ai).
+
+## Highlights
+
+- `AddSemanticKernelTelemetry` extension registers telemetry options, middleware, and a DelegatingHandler.
+- Middleware captures prompts, completions, tool invocations, latency, token usage, cost, and RAG retrieval latency.
+- Docker Compose stack (OpenTelemetry Collector → Tempo/Prometheus → Grafana) and dashboards are provided out of the box.
+
+## Quick start
+
+```bash
+# Clone the repository
+git clone https://github.com/dineshkumarkummara/otel-genai-bridges.git
+cd otel-genai-bridges
+
+# Launch the collector, Tempo, Prometheus, Grafana, and both sample apps
+./scripts/run_all.sh
+```
+
+The Semantic Kernel sample listens on `http://localhost:7080`. Send prompts to `/chat` or `/rag` with `curl` to generate telemetry.
+
+![Grafana token throughput panel](https://github.com/dineshkumarkummara/otel-genai-bridges/raw/main/docs/screenshots/grafana-tokens.png)
+
+The Grafana dashboard (http://localhost:3000/d/genai-overview) surfaces latency, token usage, error rates, tool-call counts, and RAG retrieval latency. Tempo provides trace waterfalls showing prompt/response events and tool execution spans.
+
+For more details or to contribute, visit the repository: https://github.com/dineshkumarkummara/otel-genai-bridges.