docs(braintrust.md): add braintrust.md to docs

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

@@ -0,0 +1,147 @@
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# ⚡️ Braintrust - Evals + Logging 
+
+[Braintrust](https://www.braintrust.dev/) manages evaluations, logging, prompt playground, to data management for AI products.
+
+
+## Quick Start
+
+```python
+# pip install langfuse 
+import litellm
+import os
+
+# set env 
+os.environ["BRAINTRUST_API_KEY"] = "" 
+os.environ['OPENAI_API_KEY']=""
+
+# set braintrust as a callback, litellm will send the data to braintrust
+litellm.callbacks = ["braintrust"] 
+ 
+# openai call
+response = litellm.completion(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "user", "content": "Hi 👋 - i'm openai"}
+  ]
+)
+```
+
+
+
+## OpenAI Proxy Usage
+
+1. Add keys to env 
+```env
+BRAINTRUST_API_KEY="" 
+```
+
+2. Add braintrust to callbacks 
+```yaml
+model_list:
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: gpt-3.5-turbo
+      api_key: os.environ/OPENAI_API_KEY
+
+
+litellm_settings:
+  callbacks: ["braintrust"]
+```
+
+3. Test it! 
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-D '{
+    "model": "groq-llama3",
+    "messages": [
+        { "role": "system", "content": "Use your tools smartly"},
+        { "role": "user", "content": "What time is it now? Use your tool"}
+    ]
+}'
+```
+
+## Advanced - pass Project ID 
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+response = litellm.completion(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "user", "content": "Hi 👋 - i'm openai"}
+  ], 
+  metadata={
+    "project_id": "my-special-project" 
+  }
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+**Curl**
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-D '{
+    "model": "groq-llama3",
+    "messages": [
+        { "role": "system", "content": "Use your tools smartly"},
+        { "role": "user", "content": "What time is it now? Use your tool"}
+    ],
+    "metadata": {
+        "project_id": "my-special-project"
+    }
+}'
+```
+
+**OpenAI SDK**
+
+```python
+import openai
+client = openai.OpenAI(
+    api_key="anything",
+    base_url="http://0.0.0.0:4000"
+)
+
+# request sent to model set on litellm proxy, `litellm --model`
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages = [
+        {
+            "role": "user",
+            "content": "this is a test request, write a short poem"
+        }
+    ],
+    extra_body={ # pass in any provider-specific param, if not supported by openai, https://docs.litellm.ai/docs/completion/input#provider-specific-params
+        "metadata": { # 👈 use for logging additional params (e.g. to langfuse)
+            "project_id": "my-special-project"
+        }
+    }
+)
+
+print(response)
+```
+
+For more examples, [**Click Here**](../proxy/user_keys.md#chatcompletions)
+
+</TabItem>
+</Tabs>
+
+## Full API Spec 
+
+Here's everything you can pass in metadata for a braintrust request 
+
+`braintrust_*` - any metadata field starting with `braintrust_` will be passed as metadata to the logging request 
+
+`project_id`  - set the project id for a braintrust call. Default is `litellm`. 

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

@@ -1,4 +1,4 @@
-# 🧠 Helicone - OSS LLM Observability Platform
+# 🧊 Helicone - OSS LLM Observability Platform
 
 :::tip
 

docs/my-website/sidebars.js

@@ -196,9 +196,10 @@ const sidebars = {
         "observability/raw_request_response",
         "observability/custom_callback",
         "observability/scrub_data",
-        "observability/helicone_integration",
+        "observability/braintrust",
         "observability/sentry",
         "observability/lago",
+        "observability/helicone_integration",
         "observability/openmeter",
         "observability/promptlayer_integration",
         "observability/wandb_integration",