# Databricks Configuration Template for LiteLLM Testing
# =====================================================
#
# Copy this file to your preferred location and fill in your credentials:
#   cp databricks_config.template.txt /path/to/databricks_config.txt
#
# Then update the CONFIG_FILE path in test_databricks_integration.py
#
# Lines starting with # are comments and will be ignored
# Only lines with KEY=VALUE format (where VALUE is not empty) will be read

# ==============================================================================
# DATABRICKS WORKSPACE CONFIGURATION (Required)
# ==============================================================================

# Your Databricks workspace URL (without /serving-endpoints suffix)
# Example: https://adb-1234567890123456.7.azuredatabricks.net
DATABRICKS_HOST=

# API Base URL for serving endpoints (usually {host}/serving-endpoints)
# Example: https://adb-1234567890123456.7.azuredatabricks.net/serving-endpoints
DATABRICKS_API_BASE=

# ==============================================================================
# AUTHENTICATION METHOD 1: OAuth M2M (Recommended for Production)
# Use Service Principal credentials
# ==============================================================================

# Service Principal Application/Client ID
# Example: 12345678-1234-1234-1234-123456789012
DATABRICKS_CLIENT_ID=

# Service Principal Secret
# Example: your-client-secret-value
DATABRICKS_CLIENT_SECRET=

# ==============================================================================
# AUTHENTICATION METHOD 2: Personal Access Token (PAT)
# For development and testing
# ==============================================================================

# Personal Access Token (starts with 'dapi')
# Example: dapi_your_token_here
DATABRICKS_API_KEY=

# ==============================================================================
# MODEL CONFIGURATION
# ==============================================================================

# Model to use for testing chat completions
# Example: databricks-gpt-oss-120b, databricks-meta-llama-3-1-70b-instruct
TEST_CHAT_MODEL=databricks-gpt-oss-120b

# Model to use for testing embeddings (optional)
# Example: databricks-bge-large-en
TEST_EMBEDDING_MODEL=databricks-bge-large-en

# ==============================================================================
# OPTIONAL: Custom User-Agent for Partner Attribution Testing
# ==============================================================================

# Custom user agent string to test partner attribution
# Example: mycompany/1.0.0
# This will result in User-Agent: mycompany_litellm/{version}
# Leave empty to use default: litellm/{version}
CUSTOM_USER_AGENT=

# ==============================================================================
# TEST SETTINGS
# ==============================================================================

# Which authentication method to test: oauth, pat, sdk, or all
# oauth = Use DATABRICKS_CLIENT_ID + DATABRICKS_CLIENT_SECRET
# pat = Use DATABRICKS_API_KEY
# sdk = Use Databricks SDK automatic authentication (~/.databrickscfg)
# all = Test all three methods (oauth, pat, sdk) in sequence
TEST_AUTH_METHOD=pat