diff --git a/AGENTS.md b/AGENTS.md
index 8e7b5f2bd2..d72b00f7e1 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -94,6 +94,10 @@ LiteLLM supports MCP for agent workflows:
 - Support for external MCP servers (Zapier, Jira, Linear, etc.)
 - See `litellm/experimental_mcp_client/` and `litellm/proxy/_experimental/mcp_server/`
 
+## RUNNING SCRIPTS
+
+Use `poetry run python script.py` to run Python scripts in the project environment (for non-test files).
+
 ## TESTING CONSIDERATIONS
 
 1. **Provider Tests**: Test against real provider APIs when possible
diff --git a/CLAUDE.md b/CLAUDE.md
index 50bed6e43e..1598432339 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -25,6 +25,9 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 - `poetry run pytest tests/path/to/test_file.py -v` - Run specific test file
 - `poetry run pytest tests/path/to/test_file.py::test_function -v` - Run specific test
 
+### Running Scripts
+- `poetry run python script.py` - Run Python scripts (use for non-test files)
+
 ## Architecture Overview
 
 LiteLLM is a unified interface for 100+ LLM providers with two main components:
diff --git a/VERTEX_ENV_SETUP.md b/VERTEX_ENV_SETUP.md
deleted file mode 100644
index 93a631c82f..0000000000
--- a/VERTEX_ENV_SETUP.md
+++ /dev/null
@@ -1,261 +0,0 @@
-# Vertex AI Environment Variables Setup Guide
-
-## Overview
-
-LiteLLM can load Vertex AI credentials from environment variables instead of storing them in config files. This is more secure and easier to manage for local development.
-
-## Environment Variables
-
-LiteLLM looks for these environment variables (in order of precedence):
-
-### 1. **DEFAULT_VERTEXAI_PROJECT** (Required)
-Your GCP project ID that has Vertex AI enabled.
-
-```bash
-export DEFAULT_VERTEXAI_PROJECT="my-gcp-project-id"
-```
-
-### 2. **DEFAULT_VERTEXAI_LOCATION** (Required)
-The region/location for Vertex AI services.
-
-```bash
-export DEFAULT_VERTEXAI_LOCATION="global"
-# or
-export DEFAULT_VERTEXAI_LOCATION="us-central1"
-```
-
-Common locations:
-- `global` - For Discovery Engine and global services
-- `us-central1` - US Central region
-- `us-east1` - US East region
-- `europe-west1` - Europe West region
-- `asia-southeast1` - Asia Southeast region
-
-### 3. **DEFAULT_GOOGLE_APPLICATION_CREDENTIALS** (Required)
-Path to your service account JSON key file.
-
-```bash
-export DEFAULT_GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
-```
-
-### 4. **GOOGLE_APPLICATION_CREDENTIALS** (Fallback)
-Standard Google Cloud environment variable (used as fallback).
-
-```bash
-export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
-```
-
-## Quick Setup
-
-### Option 1: Interactive Script
-
-```bash
-chmod +x setup_vertex_env.sh
-source setup_vertex_env.sh
-```
-
-### Option 2: Manual Setup
-
-1. **Set environment variables** (for current session):
-
-```bash
-export DEFAULT_VERTEXAI_PROJECT="your-project-id"
-export DEFAULT_VERTEXAI_LOCATION="global"
-export DEFAULT_GOOGLE_APPLICATION_CREDENTIALS="$HOME/.gcp/service-account.json"
-export GOOGLE_APPLICATION_CREDENTIALS="$HOME/.gcp/service-account.json"
-```
-
-2. **Make them persistent** (add to `~/.zshrc` or `~/.bashrc`):
-
-```bash
-echo 'export DEFAULT_VERTEXAI_PROJECT="your-project-id"' >> ~/.zshrc
-echo 'export DEFAULT_VERTEXAI_LOCATION="global"' >> ~/.zshrc
-echo 'export DEFAULT_GOOGLE_APPLICATION_CREDENTIALS="$HOME/.gcp/service-account.json"' >> ~/.zshrc
-echo 'export GOOGLE_APPLICATION_CREDENTIALS="$HOME/.gcp/service-account.json"' >> ~/.zshrc
-```
-
-3. **Reload your shell**:
-
-```bash
-source ~/.zshrc
-```
-
-## Service Account Setup
-
-### 1. Create a Service Account
-
-```bash
-gcloud iam service-accounts create litellm-vertex-sa \
-    --display-name="LiteLLM Vertex AI Service Account"
-```
-
-### 2. Grant Necessary Permissions
-
-For Discovery Engine (vector stores):
-```bash
-gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
-    --member="serviceAccount:litellm-vertex-sa@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
-    --role="roles/discoveryengine.viewer"
-
-gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
-    --member="serviceAccount:litellm-vertex-sa@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
-    --role="roles/discoveryengine.dataStoreEditor"
-```
-
-For general Vertex AI:
-```bash
-gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
-    --member="serviceAccount:litellm-vertex-sa@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
-    --role="roles/aiplatform.user"
-```
-
-### 3. Create and Download Key
-
-```bash
-gcloud iam service-accounts keys create ~/service-account-key.json \
-    --iam-account=litellm-vertex-sa@YOUR_PROJECT_ID.iam.gserviceaccount.com
-```
-
-## Verify Setup
-
-### Check Environment Variables
-
-```bash
-python3 << 'EOF'
-import os
-print("✓ Environment Variables:")
-print(f"  DEFAULT_VERTEXAI_PROJECT: {os.getenv('DEFAULT_VERTEXAI_PROJECT')}")
-print(f"  DEFAULT_VERTEXAI_LOCATION: {os.getenv('DEFAULT_VERTEXAI_LOCATION')}")
-print(f"  DEFAULT_GOOGLE_APPLICATION_CREDENTIALS: {os.getenv('DEFAULT_GOOGLE_APPLICATION_CREDENTIALS')}")
-print(f"  GOOGLE_APPLICATION_CREDENTIALS: {os.getenv('GOOGLE_APPLICATION_CREDENTIALS')}")
-
-# Check if credentials file exists
-creds_path = os.getenv('DEFAULT_GOOGLE_APPLICATION_CREDENTIALS')
-if creds_path and os.path.exists(creds_path):
-    print(f"\n✅ Credentials file found at: {creds_path}")
-else:
-    print(f"\n❌ Credentials file NOT found at: {creds_path}")
-EOF
-```
-
-### Test Authentication
-
-```bash
-python3 << 'EOF'
-import os
-import json
-from google.oauth2 import service_account
-from google.auth.transport.requests import Request
-
-creds_path = os.getenv('DEFAULT_GOOGLE_APPLICATION_CREDENTIALS')
-project = os.getenv('DEFAULT_VERTEXAI_PROJECT')
-
-try:
-    # Load credentials
-    credentials = service_account.Credentials.from_service_account_file(
-        creds_path,
-        scopes=['https://www.googleapis.com/auth/cloud-platform']
-    )
-    
-    # Get access token
-    credentials.refresh(Request())
-    
-    print("✅ Authentication successful!")
-    print(f"   Project: {project}")
-    print(f"   Service Account: {credentials.service_account_email}")
-    print(f"   Token expiry: {credentials.expiry}")
-    
-except Exception as e:
-    print(f"❌ Authentication failed: {e}")
-EOF
-```
-
-## Using with Vector Store Passthrough
-
-Once your environment is set up, the vector store passthrough will work in two ways:
-
-### 1. **With Vector Store Config** (Priority 1)
-If you have a vector store configured with its own credentials in `litellm_params`, those will be used first:
-
-```yaml
-vector_stores:
-  - vector_store_id: test-store-123
-    custom_llm_provider: vertex_ai
-    litellm_params:
-      vertex_project: "specific-project"
-      vertex_location: "us-central1"
-      vertex_credentials: "{...}"  # Inline credentials
-```
-
-### 2. **Environment Variables Fallback** (Priority 2)
-If the vector store doesn't have explicit credentials, it falls back to your environment variables:
-
-```yaml
-vector_stores:
-  - vector_store_id: test-store-123
-    custom_llm_provider: vertex_ai
-    # No litellm_params - will use DEFAULT_VERTEXAI_PROJECT, DEFAULT_VERTEXAI_LOCATION, etc.
-```
-
-### 3. **Model Config Fallback** (Priority 3)
-If neither above work, it looks for credentials in your model configuration.
-
-## Troubleshooting
-
-### "No credentials found"
-
-Check that all environment variables are set:
-```bash
-env | grep -E "(DEFAULT_VERTEXAI|GOOGLE_APPLICATION_CREDENTIALS)"
-```
-
-### "Authentication failed"
-
-Verify your service account key is valid:
-```bash
-cat $DEFAULT_GOOGLE_APPLICATION_CREDENTIALS | python3 -m json.tool
-```
-
-### "Permission denied"
-
-Ensure your service account has the necessary roles:
-```bash
-gcloud projects get-iam-policy YOUR_PROJECT_ID \
-    --flatten="bindings[].members" \
-    --filter="bindings.members:serviceAccount:litellm-vertex-sa@*"
-```
-
-### Different Credentials for Different Projects
-
-If you need to use different credentials for different vector stores, configure them explicitly in the vector store config rather than relying on environment variables.
-
-## Start LiteLLM Proxy
-
-Once your environment is configured:
-
-```bash
-# Start the proxy (it will automatically load env vars)
-litellm --config proxy_server_config.yaml
-
-# Or with debug logging
-export LITELLM_LOG=DEBUG
-litellm --config proxy_server_config.yaml
-```
-
-You should see logs like:
-```
-Vertex: Loading vertex credentials from /path/to/service-account.json
-Found credentials for vertex_ai_default
-```
-
-## Test the Endpoint
-
-```bash
-curl -X POST http://0.0.0.0:4000/vertex_ai/discovery/v1/projects/fake-project/locations/global/dataStores/test-store-123/servingConfigs/default_config:search \
-  -H 'Authorization: Bearer YOUR_LITELLM_API_KEY' \
-  -H 'Content-Type: application/json' \
-  -d '{"query": "test query"}'
-```
-
-The proxy will use your environment credentials to make the request to Vertex AI!
-
diff --git a/setup_vertex_env.sh b/setup_vertex_env.sh
deleted file mode 100644
index e66a0e1d85..0000000000
--- a/setup_vertex_env.sh
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/bin/bash
-# Setup script for Vertex AI credentials using environment variables
-# 
-# This script helps configure your environment for Vertex AI Discovery passthrough
-# without needing to put credentials in the config.yaml file
-
-echo "🔧 Setting up Vertex AI credentials from environment variables"
-echo "================================================================"
-echo ""
-
-# Prompt for GCP Project ID
-read -p "Enter your GCP Project ID: " PROJECT_ID
-export DEFAULT_VERTEXAI_PROJECT="$PROJECT_ID"
-echo "✓ Set DEFAULT_VERTEXAI_PROJECT=$PROJECT_ID"
-
-# Prompt for Vertex Location
-echo ""
-echo "Common locations: us-central1, global, us-east1, europe-west1"
-read -p "Enter your Vertex AI location (default: global): " LOCATION
-LOCATION=${LOCATION:-global}
-export DEFAULT_VERTEXAI_LOCATION="$LOCATION"
-echo "✓ Set DEFAULT_VERTEXAI_LOCATION=$LOCATION"
-
-# Prompt for credentials file path
-echo ""
-read -p "Enter the path to your service account JSON file: " CREDS_PATH
-
-# Expand ~ to home directory if needed
-CREDS_PATH="${CREDS_PATH/#\~/$HOME}"
-
-# Check if file exists
-if [ -f "$CREDS_PATH" ]; then
-    export DEFAULT_GOOGLE_APPLICATION_CREDENTIALS="$CREDS_PATH"
-    echo "✓ Set DEFAULT_GOOGLE_APPLICATION_CREDENTIALS=$CREDS_PATH"
-    
-    # Also set standard GOOGLE_APPLICATION_CREDENTIALS for fallback
-    export GOOGLE_APPLICATION_CREDENTIALS="$CREDS_PATH"
-    echo "✓ Set GOOGLE_APPLICATION_CREDENTIALS=$CREDS_PATH"
-else
-    echo "⚠️  Warning: File not found at $CREDS_PATH"
-    echo "   Please make sure the path is correct"
-fi
-
-echo ""
-echo "================================================================"
-echo "✅ Environment variables configured!"
-echo ""
-echo "Current settings:"
-echo "  DEFAULT_VERTEXAI_PROJECT=$DEFAULT_VERTEXAI_PROJECT"
-echo "  DEFAULT_VERTEXAI_LOCATION=$DEFAULT_VERTEXAI_LOCATION"
-echo "  DEFAULT_GOOGLE_APPLICATION_CREDENTIALS=$DEFAULT_GOOGLE_APPLICATION_CREDENTIALS"
-echo ""
-echo "To make these persistent, add the following to your ~/.zshrc or ~/.bashrc:"
-echo ""
-echo "  export DEFAULT_VERTEXAI_PROJECT=\"$PROJECT_ID\""
-echo "  export DEFAULT_VERTEXAI_LOCATION=\"$LOCATION\""
-echo "  export DEFAULT_GOOGLE_APPLICATION_CREDENTIALS=\"$CREDS_PATH\""
-echo "  export GOOGLE_APPLICATION_CREDENTIALS=\"$CREDS_PATH\""
-echo ""
-echo "You can now start LiteLLM proxy with:"
-echo "  litellm --config proxy_server_config.yaml"
-echo ""
-