V3 docs max (#2488)

* new skeleton

Signed-off-by: Max Cembalest <max@nomic.ai>

* v3 docs

Signed-off-by: Max Cembalest <max@nomic.ai>

---------

Signed-off-by: Max Cembalest <max@nomic.ai>

gpt4all-bindings/python/docs/gpt4all_python/monitoring.md

@@ -0,0 +1,47 @@
+# GPT4All Monitoring
+
+GPT4All integrates with [OpenLIT](https://github.com/openlit/openlit) open telemetry instrumentation to perform real-time monitoring of your LLM application and hardware.
+
+Monitoring can enhance your GPT4All deployment with auto-generated traces for
+
+- performance metrics
+
+- user interactions
+
+- GPU metrics like utilization, memory, temperature, power usage
+
+## Setup Monitoring
+
+!!! note "Setup Monitoring"
+
+    With [OpenLIT](https://github.com/openlit/openlit), you can automatically monitor metrics for your LLM deployment:
+
+    ```shell
+    pip install openlit
+    ```
+
+    ```python
+    from gpt4all import GPT4All
+    import openlit
+
+    openlit.init()  # start
+    # openlit.init(collect_gpu_stats=True)  # or, start with optional GPU monitoring
+
+    model = GPT4All(model_name='orca-mini-3b-gguf2-q4_0.gguf')
+
+    # Start a chat session and send queries
+    with model.chat_session():
+        response1 = model.generate(prompt='hello', temp=0)
+        response2 = model.generate(prompt='write me a short poem', temp=0)
+        response3 = model.generate(prompt='thank you', temp=0)
+
+        print(model.current_chat_session)
+    ```
+
+## OpenLIT UI
+
+Connect to OpenLIT's UI to start exploring performance metrics. Visit the OpenLIT [Quickstart Guide](https://docs.openlit.io/latest/quickstart) for step-by-step details.
+
+## Grafana, DataDog, & Other Integrations
+
+If you use tools like , you can integrate the data collected by OpenLIT. For instructions on setting up these connections, check the OpenLIT [Connections Guide](https://docs.openlit.io/latest/connections/intro).