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Copilotguygregory
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Fix GitHub Action workflow formatting and add .gitignore
Co-authored-by: guygregory <16044916+guygregory@users.noreply.github.com>
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‎.github/workflows/test-responses-basic-aoai-v1.yml‎

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---
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name: Test Azure OpenAI Responses API
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on:
@@ -7,111 +8,111 @@ jobs:
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test-responses-api:
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runs-on: ubuntu-latest
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environment: responses # Use the 'responses' environment for secrets
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Test Azure OpenAI Responses API
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env:
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AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
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AZURE_OPENAI_V1_API_ENDPOINT: ${{ secrets.AZURE_OPENAI_V1_API_ENDPOINT }}
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AZURE_OPENAI_API_MODEL: ${{ secrets.AZURE_OPENAI_API_MODEL }}
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run: |
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echo "Testing responses-basic-aoai-v1.py script..."
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# Create test results directory
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mkdir -p test-results
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# Get current timestamp
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timestamp=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
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echo "Test run timestamp: $timestamp"
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# Run the script and capture output
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python responses-basic-aoai-v1.py > output.txt 2>&1
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exit_code=$?
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# Initialize test result variables
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pass_fail="PASS"
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error_code=""
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output_text=""
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# Check if script executed successfully
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if [ $exit_code -eq 0 ]; then
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echo "✅ Script executed successfully"
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# Check if output was generated and capture it
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if [ -s output.txt ]; then
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output_text=$(cat output.txt)
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echo "✅ Script produced output:"
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echo "$output_text"
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# Test whether response.output_text contains a valid string
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# Valid means: non-empty, no error indicators, and actual content
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if [ -n "$output_text" ] && ! echo "$output_text" | grep -qi "error\|exception\|traceback\|failed\|none\|null"; then
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echo "✅ Output contains valid string content"
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pass_fail="PASS"
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Test Azure OpenAI Responses API
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env:
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AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
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AZURE_OPENAI_V1_API_ENDPOINT: ${{ secrets.AZURE_OPENAI_V1_API_ENDPOINT }}
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AZURE_OPENAI_API_MODEL: ${{ secrets.AZURE_OPENAI_API_MODEL }}
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run: |
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echo "Testing responses-basic-aoai-v1.py script..."
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# Create test results directory
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mkdir -p test-results
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# Get current timestamp
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timestamp=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
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echo "Test run timestamp: $timestamp"
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# Run the script and capture output
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python responses-basic-aoai-v1.py > output.txt 2>&1
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exit_code=$?
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# Initialize test result variables
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pass_fail="PASS"
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error_code=""
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output_text=""
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# Check if script executed successfully
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if [ $exit_code -eq 0 ]; then
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echo "✅ Script executed successfully"
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# Check if output was generated and capture it
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if [ -s output.txt ]; then
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output_text=$(cat output.txt)
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echo "✅ Script produced output:"
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echo "$output_text"
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# Test whether response.output_text contains a valid string
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# Valid means: non-empty, no error indicators, and actual content
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if [ -n "$output_text" ] && ! echo "$output_text" | grep -qi "error\|exception\|traceback\|failed\|none\|null"; then
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echo "✅ Output contains valid string content"
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pass_fail="PASS"
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else
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echo "❌ Output does not contain valid string content"
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pass_fail="FAIL"
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error_code="INVALID_OUTPUT"
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fi
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else
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echo "❌ Output does not contain valid string content"
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echo "❌ Script produced no output"
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pass_fail="FAIL"
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error_code="INVALID_OUTPUT"
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error_code="NO_OUTPUT"
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fi
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else
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echo "❌ Script produced no output"
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echo "❌ Script failed with exit code: $exit_code"
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echo "Error output:"
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cat output.txt
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output_text=$(cat output.txt)
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pass_fail="FAIL"
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error_code="NO_OUTPUT"
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error_code="SCRIPT_ERROR_$exit_code"
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fi
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else
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echo "❌ Script failed with exit code: $exit_code"
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echo "Error output:"
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cat output.txt
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output_text=$(cat output.txt)
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pass_fail="FAIL"
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error_code="SCRIPT_ERROR_$exit_code"
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fi
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# Create test results JSON (using jq for proper JSON formatting)
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jq -n \
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--arg timestamp "$timestamp" \
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--arg output "$output_text" \
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--arg pass_fail "$pass_fail" \
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--arg error_code "$error_code" \
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'{
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test_last_run_date: $timestamp,
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output: $output,
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pass_fail: $pass_fail,
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error_code: $error_code
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}' > test-results/test-results.json
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# Display final results
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echo "=== Test Results ==="
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echo "Timestamp: $timestamp"
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echo "Pass/Fail: $pass_fail"
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echo "Error Code: $error_code"
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echo "Output: $output_text"
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# Exit with error if test failed
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if [ "$pass_fail" = "FAIL" ]; then
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echo "❌ Test failed"
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exit 1
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else
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echo "🎉 Test completed successfully!"
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fi
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- name: Upload test results artifact
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uses: actions/upload-artifact@v4
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if: always() # Upload artifact even if the test fails
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with:
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name: azure-openai-test-results
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path: test-results/
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retention-days: 30
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# Create test results JSON (using jq for proper JSON formatting)
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jq -n \
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--arg timestamp "$timestamp" \
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--arg output "$output_text" \
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--arg pass_fail "$pass_fail" \
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--arg error_code "$error_code" \
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'{
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test_last_run_date: $timestamp,
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output: $output,
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pass_fail: $pass_fail,
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error_code: $error_code
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}' > test-results/test-results.json
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# Display final results
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echo "=== Test Results ==="
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echo "Timestamp: $timestamp"
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echo "Pass/Fail: $pass_fail"
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echo "Error Code: $error_code"
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echo "Output: $output_text"
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# Exit with error if test failed
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if [ "$pass_fail" = "FAIL" ]; then
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echo "❌ Test failed"
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exit 1
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else
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echo "🎉 Test completed successfully!"
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fi
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- name: Upload test results artifact
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uses: actions/upload-artifact@v4
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if: always() # Upload artifact even if the test fails
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with:
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name: azure-openai-test-results
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path: test-results/
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retention-days: 30

‎.gitignore‎

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# Python cache files
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__pycache__/
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*.py[cod]
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*$py.class
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# Environment files
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.env
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# Virtual environments
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venv/
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env/
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ENV/
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# IDE files
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.vscode/
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.idea/
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# OS files
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.DS_Store
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Thumbs.db

‎__pycache__/responses-basic-aoai-v1.cpython-312.pyc‎

-800 Bytes
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