From f5e3695dc7ea53f26f1e30a4ad1ba37e307d937c Mon Sep 17 00:00:00 2001
From: Nandesh Guru <nandesh@greenscale.ai>
Date: Wed, 17 Apr 2024 12:24:00 -0700
Subject: [PATCH] Support for Greenscale logging

---
 .../observability/greenscale_integration.md   | 68 +++++++++++++++++++
 docs/my-website/sidebars.js                   |  1 +
 2 files changed, 69 insertions(+)
 create mode 100644 docs/my-website/docs/observability/greenscale_integration.md

diff --git a/docs/my-website/docs/observability/greenscale_integration.md b/docs/my-website/docs/observability/greenscale_integration.md
new file mode 100644
index 000000000..8fc2b7ea3
--- /dev/null
+++ b/docs/my-website/docs/observability/greenscale_integration.md
@@ -0,0 +1,68 @@
+# Greenscale Tutorial
+
+[Greenscale](https://greenscale.ai/) is a production monitoring platform for your LLM-powered app that provides you granular key insights into your GenAI spending and responsible usage. Greenscale only captures metadata to minimize the exposure risk of personally identifiable information (PII).
+
+## Getting Started
+
+Use Greenscale to log requests across all LLM Providers
+
+liteLLM provides `callbacks`, making it easy for you to log data depending on the status of your responses.
+
+## Using Callbacks
+
+First, email `hello@greenscale.ai` to get an API_KEY.
+
+Use just 1 line of code, to instantly log your responses **across all providers** with Greenscale:
+
+```python
+litellm.success_callback = ["greenscale"]
+```
+
+### Complete code
+
+```python
+from litellm import completion
+
+## set env variables
+os.environ['GREENSCALE_API_KEY'] = 'your-greenscale-api-key'
+os.environ['GREENSCALE_ENDPOINT'] = 'greenscale-endpoint'
+os.environ["OPENAI_API_KEY"]= ""
+
+# set callback
+litellm.success_callback = ["greenscale"]
+
+#openai call
+response = completion(
+  model="gpt-3.5-turbo",
+  messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]
+  metadata={
+    "greenscale_project": "acme-project",
+    "greenscale_application": "acme-application"
+  }
+)
+```
+
+## Additional information in metadata
+
+You can send any additional information to Greenscale by using the `metadata` field in completion and `greenscale_` prefix. This can be useful for sending metadata about the request, such as the project and application name, customer_id, enviornment, or any other information you want to track usage. `greenscale_project` and `greenscale_application` are required fields.
+
+```python
+#openai call with additional metadata
+response = completion(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "user", "content": "Hi 👋 - i'm openai"}
+  ],
+  metadata={
+    "greenscale_project": "acme-project",
+    "greenscale_application": "acme-application",
+    "greenscale_customer_id": "customer-123"
+  }
+)
+```
+
+## Support & Talk with Greenscale Team
+
+- [Schedule Demo 👋](https://calendly.com/nandesh/greenscale)
+- [Website 💻](https://greenscale.ai)
+- Our email ✉️ `hello@greenscale.ai`
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 3dc20cdd4..6e4123f35 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -173,6 +173,7 @@ const sidebars = {
         "observability/langsmith_integration",
         "observability/slack_integration",
         "observability/traceloop_integration",
+        "observability/athina_integration",
         "observability/lunary_integration",
         "observability/athina_integration",
         "observability/helicone_integration",