(docs) litellm + datadog

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

@@ -3,13 +3,13 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
 
-# 🔎 Logging - Custom Callbacks, Langfuse, ClickHouse, s3 Bucket, Sentry, OpenTelemetry, Athina
+# 🔎 Logging - Custom Callbacks, DataDog, Langfuse, s3 Bucket, Sentry, OpenTelemetry, Athina
 
 Log Proxy Input, Output, Exceptions using Custom Callbacks, Langfuse, OpenTelemetry, LangFuse, DynamoDB, s3 Bucket
 
 - [Async Custom Callbacks](#custom-callback-class-async)
 - [Async Custom Callback APIs](#custom-callback-apis-async)
-- [Logging to ClickHouse](#logging-proxy-inputoutput---clickhouse)
+- [Logging to DataDog](#logging-proxy-inputoutput---datadog)
 - [Logging to Langfuse](#logging-proxy-inputoutput---langfuse)
 - [Logging to s3 Buckets](#logging-proxy-inputoutput---s3-buckets)
 - [Logging to DynamoDB](#logging-proxy-inputoutput---dynamodb)
@@ -539,32 +539,8 @@ print(response)
 </Tabs>
 
 
-## Logging Proxy Input/Output - Clickhouse
-We will use the `--config` to set `litellm.success_callback = ["clickhouse"]` this will log all successfull LLM calls to ClickHouse DB
-
-### [Optional] - Docker Compose - LiteLLM Proxy + Self Hosted Clickhouse DB
-Use this docker compose yaml to start LiteLLM Proxy + Clickhouse DB
-```yaml
-version: "3.9"
-services:
-  litellm:
-    image: ghcr.io/berriai/litellm:main-latest
-    volumes:
-      - ./proxy_server_config.yaml:/app/proxy_server_config.yaml # mount your litellm config.yaml
-    ports:
-      - "4000:4000"
-    environment:
-      - AZURE_API_KEY=sk-123
-  clickhouse:
-    image: clickhouse/clickhouse-server
-    environment:
-      - CLICKHOUSE_DB=litellm-test
-      - CLICKHOUSE_USER=admin
-      - CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1
-      - CLICKHOUSE_PASSWORD=admin
-    ports:
-      - "8123:8123"
-```
+## 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
 
 **Step 1**: Create a `config.yaml` file and set `litellm_settings`: `success_callback`
 ```yaml
@@ -573,43 +549,16 @@ model_list:
     litellm_params:
       model: gpt-3.5-turbo
 litellm_settings:
-  success_callback: ["clickhouse"]
+  success_callback: ["datadog"]
 ```
 
-**Step 2**: Set Required env variables for clickhouse
-
-<Tabs>
-<TabItem value="self" label="Self Hosted Clickhouse">
-
-Env Variables for self hosted click house 
-```shell
-CLICKHOUSE_HOST = "localhost"
-CLICKHOUSE_PORT = "8123"
-CLICKHOUSE_USERNAME = "admin"
-CLICKHOUSE_PASSWORD = "admin"
-```
-
-</TabItem>
-
-
-
-<TabItem value="cloud" label="Clickhouse.cloud">
-
-Env Variables for cloud click house
+**Step 2**: Set Required env variables for datadog
 
 ```shell
-CLICKHOUSE_HOST = "hjs1z7j37j.us-east1.gcp.clickhouse.cloud"
-CLICKHOUSE_PORT = "8443"
-CLICKHOUSE_USERNAME = "default"
-CLICKHOUSE_PASSWORD = "M~PimRs~c3Z6b"
+DD_API_KEY="5f2d0f310***********" # your datadog API Key
+DD_SITE="us5.datadoghq.com"       # your datadog base url
 ```
 
-</TabItem>
-</Tabs>
-
-
-
-
 **Step 3**: Start the proxy, make a test request
 
 Start proxy
@@ -618,9 +567,27 @@ litellm --config config.yaml --debug
 ```
 
 Test Request
+
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+    --header 'Content-Type: application/json' \
+    --data '{
+    "model": "gpt-3.5-turbo",
+    "messages": [
+        {
+        "role": "user",
+        "content": "what llm are you"
+        }
+    ],
+    "metadata": {
+        "your-custom-metadata": "custom-field",
+    }
+}'
 ```
-litellm --test
-```
+
+Expected output on Datadog
+
+<Image img={require('../../img/dd_small1.png')} />
 
 
 ## Logging Proxy Input/Output - s3 Buckets