perf(ci): Optimize ocr_testing job to reduce run time

- Add resource_class: xlarge (8 vCPUs vs default 2)
- Add pytest-xdist for parallel test execution (-n 4)
- Remove -x flag (stop on first failure) since tests are passing
- Remove -s flag (conflicts with parallel execution)

This should reduce the ~39 minute job time significantly by:
1. Running tests in parallel
2. Having more CPU for faster pip install

.circleci/config.yml

@@ -1558,6 +1558,7 @@ jobs:
           username: ${DOCKERHUB_USERNAME}
           password: ${DOCKERHUB_PASSWORD}
     working_directory: ~/project
+    resource_class: xlarge
 
     steps:
       - checkout
@@ -1571,6 +1572,7 @@ jobs:
             pip install "pytest-retry==1.6.3"
             pip install "pytest-cov==5.0.0"
             pip install "pytest-asyncio==0.21.1"
+            pip install "pytest-xdist==3.8.0"
             pip install "respx==0.22.0"
       # Run pytest and generate JUnit XML report
       - run:
@@ -1578,7 +1580,7 @@ jobs:
           command: |
             pwd
             ls
-            python -m pytest -vv tests/ocr_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5
+            python -m pytest -vv tests/ocr_tests --cov=litellm --cov-report=xml -v --junitxml=test-results/junit.xml --durations=5 -n 4
           no_output_timeout: 120m
       - run:
           name: Rename the coverage files