adding semantic kernel dashboard

semantic-kernel/README.md

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+# Semantic Kernel Dashboard
+
+## Details
+
+This dashboard offers a clear view into Semantic Kernel usage and performance. It highlights key metrics such as token consumption, model distribution, error rates, request volumes, and latency trends. Teams can also track which services and languages are leveraging Semantic Kernel along with detailed records of errors, to better understand adoption patterns and optimize reliability and efficiency.
+
+
+## Dashboard panels
+
+### Sections
+
+#### Total Token Usage (Input & Output)
+
+Tokens are the foundation of Semantic Kernel. By splitting input tokens (user prompts) and output tokens (model responses), this panel shows exactly how much work the system is doing. Over time, you can monitor efficiency, spot growth in adoption, and balance consumption across workloads.
+
+<img width="470" height="151" alt="gemini-io-token-count" src="https://github.com/user-attachments/assets/1f13435e-e926-4c70-9e13-804f10f6fc48" />
+
+#### Total Error Rate
+
+Not every request makes it through successfully. This panel tracks the percentage of Semantic Kernel calls that return errors. It’s a quick way to identify reliability issues and ensure your applications maintain a smooth, dependable experience.
+
+<img width="350" height="211" alt="Screenshot 2025-11-06 at 1 23 22 PM" src="https://github.com/user-attachments/assets/5519d275-deff-45ae-9330-875dd887a9cd" />
+
+#### Model Distribution
+
+Semantic Kernel offers multiple model variants, each optimized for different tasks. This panel reveals which models are being called most often—helping you track preferences, measure adoption of newer releases, and align usage with performance or cost goals.
+
+<img width="351" height="437" alt="Screenshot 2025-11-18 at 10 42 43 AM" src="https://github.com/user-attachments/assets/6019b109-2fd3-4d65-92cb-a404337f7e82" />
+
+#### Requests Over Time
+
+Every API call matters. This chart captures the volume of requests sent to Semantic Kernel over time, letting you see demand patterns, identify high-traffic windows, and plan infrastructure or cost controls accordingly.
+
+<img width="708" height="281" alt="gemini-requests" src="https://github.com/user-attachments/assets/4f060da9-3297-447c-89b8-730f28e39a47" />
+
+
+#### Latency (P95 Over Time)
+
+How fast does Semantic Kernel respond under load? This panel measures the 95th percentile latency of requests over time, surfacing potential slowdowns, spikes, or regressions. By keeping an eye on responsiveness, teams can ensure a consistent developer and user experience.
+
+<img width="708" height="281" alt="gemini-latency" src="https://github.com/user-attachments/assets/3c909491-7dfd-4a0d-8fcb-2b88cc8ff58d" />
+
+#### HTTP Request Duration (Over Time)
+
+This panel displays a time series line chart of the average HTTP request that is being made via the LLM calls over time. This gives you insight on the network speed for the actual outbound http request to the API network. 
+
+<img width="598" height="176" alt="Screenshot 2025-09-09 at 12 00 27 PM" src="https://github.com/user-attachments/assets/ef061331-0b4b-4e25-a50b-fe0c8a771045" />
+
+#### Services and Languages Using Semantic Kernel
+
+Semantic Kernel powers a variety of applications across different services and programming languages. This breakdown shows where the API is being adopted—making it easier to understand usage patterns across your stack and identify opportunities for optimization.
+
+<img width="700" height="116" alt="Screenshot 2025-11-18 at 10 45 30 AM" src="https://github.com/user-attachments/assets/64f1fee1-9c0f-47ce-9c53-d252ef3a23f7" />
+
+
+
+#### Error Records
+
+This table logs all recorded errors and when clicking on an individual record, you are sent to the trace where the error originated.
+
+<img width="584" height="206" alt="Screenshot 2025-11-06 at 1 20 55 PM" src="https://github.com/user-attachments/assets/0ac8dd8c-fecb-44ed-af6d-a98253fd6e58" />
+
+
+#### Logs
+
+This panel lists all Semantic Kernel-related logs. Teams can use this for deep troubleshooting, auditing usage patterns, and correlating issues with specific request flows. Clicking on a row links back to the corresponding log entry for full traceability.
+
+<img width="700" height="422" alt="Screenshot 2025-11-18 at 10 45 06 AM" src="https://github.com/user-attachments/assets/8e8959e2-c7e4-492e-98db-0221fb602a56" />
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+
+
+#### Tools
+
+This panel lists all tools called within the Semantic Kernel execution. Each entry contains the tool name along with number of requests made to that tool and the average latency. 
+
+<img width="702" height="217" alt="Screenshot 2025-11-18 at 10 44 05 AM" src="https://github.com/user-attachments/assets/f98004b5-375f-4e17-a3cc-1f792bf36073" />
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