docs(humanloop.md): add humanloop docs

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

@@ -0,0 +1,176 @@
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Humanloop
+
+[Humanloop](https://humanloop.com/docs/v5/getting-started/overview) enables product teams to build robust AI features with LLMs, using best-in-class tooling for Evaluation, Prompt Management, and Observability.
+
+
+## Getting Started
+
+Use Humanloop to manage prompts across all LiteLLM Providers.
+
+
+
+<Tabs>
+
+<TabItem value="sdk" label="SDK">
+
+```python
+import os 
+import litellm
+
+os.environ["HUMANLOOP_API_KEY"] = "" # [OPTIONAL] set here or in `.completion`
+
+litellm.set_verbose = True # see raw request to provider
+
+resp = litellm.completion(
+    model="humanloop/gpt-3.5-turbo",
+    prompt_id="test-chat-prompt",
+    prompt_variables={"user_message": "this is used"}, # [OPTIONAL]
+    messages=[{"role": "user", "content": "<IGNORED>"}],
+    # humanloop_api_key="..." ## alternative to setting env var
+)
+```
+
+
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+model_list:
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: humanloop/gpt-3.5-turbo
+      prompt_id: "<humanloop_prompt_id>"
+      api_key: os.environ/OPENAI_API_KEY
+```
+
+2. Start the proxy
+
+```bash
+litellm --config config.yaml --detailed_debug
+```
+
+3. Test it! 
+
+<Tabs>
+<TabItem value="curl" label="CURL">
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-d '{
+    "model": "gpt-3.5-turbo",
+    "messages": [
+        {
+            "role": "user",
+            "content": "THIS WILL BE IGNORED"
+        }
+    ],
+    "prompt_variables": {
+        "key": "this is used"
+    }
+}'
+```
+</TabItem>
+<TabItem value="OpenAI Python SDK" label="OpenAI Python 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={
+        "prompt_variables": { # [OPTIONAL]
+            "key": "this is used"
+        }
+    }
+)
+
+print(response)
+```
+
+</TabItem>
+</Tabs>
+
+</TabItem>
+</Tabs>
+
+
+**Expected Logs:**
+
+```
+POST Request Sent from LiteLLM:
+curl -X POST \
+https://api.openai.com/v1/ \
+-d '{'model': 'gpt-3.5-turbo', 'messages': <YOUR HUMANLOOP PROMPT TEMPLATE>}'
+```
+
+## How to set model 
+
+
+## How to set model 
+
+### Set the model on LiteLLM 
+
+You can do `humanloop/<litellm_model_name>`
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+litellm.completion(
+    model="humanloop/gpt-3.5-turbo", # or `humanloop/anthropic/claude-3-5-sonnet`
+    ...
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+```yaml
+model_list:
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: humanloop/gpt-3.5-turbo # OR humanloop/anthropic/claude-3-5-sonnet
+      prompt_id: <humanloop_prompt_id>
+      api_key: os.environ/OPENAI_API_KEY
+```
+
+</TabItem>
+</Tabs>
+
+### Set the model on Humanloop
+
+LiteLLM will call humanloop's `https://api.humanloop.com/v5/prompts/<your-prompt-id>` endpoint, to get the prompt template.
+
+This also returns the template model set on Humanloop.
+
+```bash
+{
+  "template": [
+    {
+      ... # your prompt template
+    }
+  ],
+  "model": "gpt-3.5-turbo" # your template model
+}
+```
+

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

@@ -8,6 +8,7 @@ Run experiments or change the specific model (e.g. from gpt-4o to gpt4o-mini fin
 
 Supported Integrations:
 - [Langfuse](https://langfuse.com/docs/prompts/get-started)
+- [Humanloop](../observability/humanloop)
 
 ## Quick Start
 
@@ -173,7 +174,6 @@ model_list:
 - `prompt_variables`: A dictionary of variables that will be used to replace parts of the prompt.
 
 
-
 ## What is 'prompt_id'?
 
 - `prompt_id`: The ID of the prompt that will be used for the request.

docs/my-website/sidebars.js

@@ -390,6 +390,7 @@ const sidebars = {
         "debugging/local_debugging",
         "observability/raw_request_response",
         "observability/custom_callback",
+        "observability/humanloop",
         "observability/scrub_data",
         "observability/braintrust",
         "observability/sentry",