docs(openmeter.md): add openmeter to docs

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

@@ -0,0 +1,97 @@
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# OpenMeter - Usage-Based Billing
+
+[OpenMeter](https://openmeter.io/) is an Open Source Usage-Based Billing solution for AI/Cloud applications. It integrates with Stripe for easy billing.
+
+<Image img={require('../../img/openmeter.png')} />
+
+:::info
+We want to learn how we can make the callbacks better! Meet the LiteLLM [founders](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version) or
+join our [discord](https://discord.gg/wuPM9dRgDw)
+::: 
+
+
+## Quick Start
+Use just 2 lines of code, to instantly log your responses **across all providers** with OpenMeter
+
+Get your OpenMeter API Key from https://openmeter.cloud/meters
+
+```python
+litellm.success_callback = ["openmeter"] # logs cost + usage of successful calls to openmeter
+```
+
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+# pip install langfuse 
+import litellm
+import os
+
+# from https://openmeter.cloud
+os.environ["OPENMETER_API_ENDPOINT"] = ""
+os.environ["OPENMETER_API_KEY"] = ""
+
+# LLM API Keys
+os.environ['OPENAI_API_KEY']=""
+
+# set langfuse as a callback, litellm will send the data to langfuse
+litellm.success_callback = ["openmeter"] 
+ 
+# openai call
+response = litellm.completion(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "user", "content": "Hi 👋 - i'm openai"}
+  ]
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Add to Config.yaml
+```yaml
+model_list:
+- litellm_params:
+    api_base: https://openai-function-calling-workers.tasslexyz.workers.dev/
+    api_key: my-fake-key
+    model: openai/my-fake-model
+  model_name: fake-openai-endpoint
+
+litellm_settings:
+  success_callback: ["openmeter"] # 👈 KEY CHANGE
+```
+
+2. Start Proxy
+
+```
+litellm --config /path/to/config.yaml
+```
+
+3. Test it! 
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data ' {
+      "model": "fake-openai-endpoint",
+      "messages": [
+        {
+          "role": "user",
+          "content": "what llm are you"
+        }
+      ],
+    }
+'
+```
+
+</TabItem>
+</Tabs>
+
+
+<Image img={require('../../img/openmeter_img_2.png')} />

docs/my-website/docs/proxy/logging.md

@@ -10,6 +10,7 @@ Log Proxy Input, Output, Exceptions using Custom Callbacks, Langfuse, OpenTeleme
 - [Async Custom Callbacks](#custom-callback-class-async)
 - [Async Custom Callback APIs](#custom-callback-apis-async)
 - [Logging to Langfuse](#logging-proxy-inputoutput---langfuse)
+- [Logging to OpenMeter](#logging-proxy-inputoutput---langfuse)
 - [Logging to s3 Buckets](#logging-proxy-inputoutput---s3-buckets)
 - [Logging to DataDog](#logging-proxy-inputoutput---datadog)
 - [Logging to DynamoDB](#logging-proxy-inputoutput---dynamodb)
@@ -591,6 +592,59 @@ litellm_settings:
 
 
 
+## Logging Proxy Cost + Usage - OpenMeter
+
+Bill customers according to their LLM API usage with [OpenMeter](../observability/openmeter.md)
+
+**Required Env Variables**
+
+```bash
+# from https://openmeter.cloud
+export OPENMETER_API_ENDPOINT=""
+export OPENMETER_API_KEY=""
+```
+
+### Quick Start 
+
+1. Add to Config.yaml
+```yaml
+model_list:
+- litellm_params:
+    api_base: https://openai-function-calling-workers.tasslexyz.workers.dev/
+    api_key: my-fake-key
+    model: openai/my-fake-model
+  model_name: fake-openai-endpoint
+
+litellm_settings:
+  success_callback: ["openmeter"] # 👈 KEY CHANGE
+```
+
+2. Start Proxy
+
+```
+litellm --config /path/to/config.yaml
+```
+
+3. Test it! 
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data ' {
+      "model": "fake-openai-endpoint",
+      "messages": [
+        {
+          "role": "user",
+          "content": "what llm are you"
+        }
+      ],
+    }
+'
+```
+
+
+<Image img={require('../../img/openmeter_img_2.png')} />
+
 ## Logging Proxy Input/Output - DataDog
 We will use the `--config` to set `litellm.success_callback = ["datadog"]` this will log all successfull LLM calls to DataDog
 

docs/my-website/sidebars.js

@@ -170,6 +170,7 @@ const sidebars = {
         "observability/custom_callback",
         "observability/langfuse_integration",
         "observability/sentry",
+        "observability/openmeter",
         "observability/promptlayer_integration",
         "observability/wandb_integration",
         "observability/langsmith_integration",
@@ -177,7 +178,6 @@ const sidebars = {
         "observability/traceloop_integration",
         "observability/athina_integration",
         "observability/lunary_integration",
-        "observability/athina_integration",
         "observability/helicone_integration",
         "observability/supabase_integration",
         `observability/telemetry`,