add llmonitor to docs

docs/my-website/docs/index.md

@@ -1,23 +1,30 @@
 # 🚅 litellm
-a light 100 line package to simplify calling OpenAI, Azure, Cohere, Anthropic APIs 
+
+a light 100 line package to simplify calling OpenAI, Azure, Cohere, Anthropic APIs
 
 ###### litellm manages:
-* Calling all LLM APIs using the OpenAI format - `completion(model, messages)`
-* Consistent output for all LLM APIs, text responses will always be available at `['choices'][0]['message']['content']`
-* Consistent Exceptions for all LLM APIs, we map RateLimit, Context Window, and Authentication Error exceptions across all providers to their OpenAI equivalents. [see Code](https://github.com/BerriAI/litellm/blob/ba1079ff6698ef238c5c7f771dd2b698ec76f8d9/litellm/utils.py#L250)
+
+- Calling all LLM APIs using the OpenAI format - `completion(model, messages)`
+- Consistent output for all LLM APIs, text responses will always be available at `['choices'][0]['message']['content']`
+- Consistent Exceptions for all LLM APIs, we map RateLimit, Context Window, and Authentication Error exceptions across all providers to their OpenAI equivalents. [see Code](https://github.com/BerriAI/litellm/blob/ba1079ff6698ef238c5c7f771dd2b698ec76f8d9/litellm/utils.py#L250)
 
 ###### observability:
-* Logging - see exactly what the raw model request/response is by plugging in your own function `completion(.., logger_fn=your_logging_fn)` and/or print statements from the package `litellm.set_verbose=True`
-* Callbacks - automatically send your data to Helicone, Sentry, Posthog, Slack - `litellm.success_callbacks`, `litellm.failure_callbacks` [see Callbacks](https://litellm.readthedocs.io/en/latest/advanced/)
+
+- Logging - see exactly what the raw model request/response is by plugging in your own function `completion(.., logger_fn=your_logging_fn)` and/or print statements from the package `litellm.set_verbose=True`
+- Callbacks - automatically send your data to Helicone, LLMonitor, Sentry, Posthog, Slack - `litellm.success_callbacks`, `litellm.failure_callbacks` [see Callbacks](https://litellm.readthedocs.io/en/latest/advanced/)
 
 ## Quick Start
+
 Go directly to code: [Getting Started Notebook](https://colab.research.google.com/drive/1gR3pY-JzDZahzpVdbGBtrNGDBmzUNJaJ?usp=sharing)
+
 ### Installation
+
 ```
 pip install litellm
 ```
 
 ### Usage
+
 ```python
 from litellm import completion
 
@@ -33,11 +40,14 @@ response = completion(model="gpt-3.5-turbo", messages=messages)
 # cohere call
 response = completion("command-nightly", messages)
 ```
+
 Need Help / Support : [see troubleshooting](https://litellm.readthedocs.io/en/latest/troubleshoot)
 
-## Why did we build liteLLM 
+## Why did we build liteLLM
+
 - **Need for simplicity**: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere
 
 ## Support
-* [Meet with us 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
-* Contact us at ishaan@berri.ai / krrish@berri.ai
+
+- [Meet with us 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
+- Contact us at ishaan@berri.ai / krrish@berri.ai

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

@@ -1,29 +1,31 @@
 # Callbacks
 
 ## Use Callbacks to send Output Data to Posthog, Sentry etc
-liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
 
-liteLLM supports: 
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
+
+liteLLM supports:
 
 - [Helicone](https://docs.helicone.ai/introduction)
-- [Sentry](https://docs.sentry.io/platforms/python/) 
+- [LLMonitor](https://llmonitor.com/docs)
+- [Sentry](https://docs.sentry.io/platforms/python/)
 - [PostHog](https://posthog.com/docs/libraries/python)
 - [Slack](https://slack.dev/bolt-python/concepts)
 
 ### Quick Start
+
 ```python
 from litellm import completion
 
 # set callbacks
-litellm.success_callback=["posthog", "helicone"]
-litellm.failure_callback=["sentry"]
+litellm.success_callback=["posthog", "helicone", "llmonitor"]
+litellm.failure_callback=["sentry", "llmonitor"]
 
 ## set env variables
 os.environ['SENTRY_API_URL'], os.environ['SENTRY_API_TRACE_RATE']= ""
 os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
-os.environ["HELICONE_API_KEY"] = "" 
+os.environ["HELICONE_API_KEY"] = ""
+os.environ["LLMONITOR_APP_ID"] = ""
 
-response = completion(model="gpt-3.5-turbo", messages=messages) 
+response = completion(model="gpt-3.5-turbo", messages=messages)
 ```
-
-

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

@@ -0,0 +1,38 @@
+# LLMonitor Tutorial
+
+[LLMonitor](https://llmonitor.com/) is an open source observability platform that provides cost tracking, user tracking and powerful agent tracing.
+
+## Use LLMonitor to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
+
+### Using Callbacks
+
+Use just 2 lines of code, to instantly log your responses **across all providers** with llmonitor:
+
+```
+litellm.success_callback=["llmonitor"]
+litellm.error_callback=["llmonitor"]
+```
+
+Complete code
+
+```python
+from litellm import completion
+
+## set env variables
+os.environ["LLMONITOR_APP_ID"] = "your-llmonitor-app-id"
+# Optional: os.environ["LLMONITOR_API_URL"] = "self-hosting-url"
+
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback=["llmonitor"]
+litellm.error_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"}])
+```