Fix get_model_from_request() to extract model ID from Vertex AI passthrough URLs#18097
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krrishdholakia merged 1 commit intoBerriAI:litellm_staging_12_17_2025from Dec 17, 2025
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extract model id from vertex ai passthrough routes that follow the pattern:
/vertex_ai/*/models/{model_id}:*
the model extraction now handles vertex ai routes by regex matching the model
segment from the url path, which allows proper model identification for
authentication and authorization in proxy pass-through endpoints.
adds comprehensive test coverage for vertex ai model extraction including:
- various vertex api versions (v1, v1beta1)
- different locations (us-central1, asia-southeast1)
- model names with special suffixes (gemini-1.5-pro, gemini-2.0-flash)
- precedence verification (request body model over url)
- non-vertex route isolation
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Title
Fix get_model_from_request() to extract model ID from Vertex AI passthrough URLs
Relevant issues
Pre-Submission checklist
Please complete all items before asking a LiteLLM maintainer to review your PR
tests/litellm/directory, Adding at least 1 test is a hard requirement - see detailsmake test-unitType
🐛 Bug Fix
Changes
Summary
This PR enhances the model extraction logic in the proxy authentication module to properly handle Vertex AI passthrough routes. Previously, the
get_model_from_request()function could not extract model IDs from Vertex AI passthrough URLs, which follows a distinct pattern compared to OpenAI deployments.Problem
Vertex AI passthrough endpoints have a URL structure like:
The existing model extraction logic only handled OpenAI deployments (
/openai/deployments/{model}/), leaving Vertex AI models unidentified.Solution
Added regex-based model extraction for Vertex AI routes:
/vertex_ai/.../models/{model_id}:*/models/([^/:]+)Testing
Added comprehensive test coverage with 7 parametrized test cases in
test_get_model_from_request_vertex_ai_passthrough():Files Changed
litellm/proxy/auth/auth_utils.py: Added Vertex AI model extraction logictests/local_testing/test_auth_utils.py: Added parametrized test cases