add promptlayer to docs

docs/my-website/docs/observability/integrations.md

@@ -2,6 +2,7 @@
 
 | Integration | Required OS Variables                                    | How to Use with callbacks                |
 | ----------- | -------------------------------------------------------- | ---------------------------------------- |
+| Promptlayer   | `PROMPLAYER_API_KEY`                                   | `litellm.success_callback=["promptlayer"]` |
 | LLMonitor   | `LLMONITOR_APP_ID`                                       | `litellm.success_callback=["llmonitor"]` |
 | Sentry      | `SENTRY_API_URL`                                         | `litellm.success_callback=["sentry"]`    |
 | Posthog     | `POSTHOG_API_KEY`,`POSTHOG_API_URL`                      | `litellm.success_callback=["posthog"]`   |

docs/my-website/docs/observability/promptlayer_integration.md

@@ -0,0 +1,43 @@
+# Promptlayer Tutorial
+
+Promptlayer is a platform for prompt engineers. Log OpenAI requests. Search usage history. Track performance. Visually manage prompt templates.
+
+<video controls width='900' >
+  <source src='https://llmonitor.com/videos/demo-annotated.mp4'/>
+</video>
+
+## Use Promptlayer to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+
+liteLLM provides `callbacks`, making it easy for you to log data depending on the status of your responses.
+
+### Using Callbacks
+
+# Get your PromptLayer API Key from https://promptlayer.com/
+
+Use just 2 lines of code, to instantly log your responses **across all providers** with promptlayer:
+
+```python
+litellm.success_callback = ["promptlayer"]
+
+```
+
+Complete code
+
+```python
+from litellm import completion
+
+## set env variables
+os.environ["PROMPTLAYER_API_KEY"] = "your"
+
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback = ["promptlayer"]
+litellm.failure_callback = ["llmonitor"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+#cohere call
+response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}])
+```