exo/.circleci/config.yml

version: 2.1

orbs:
  python: circleci/python@2

commands:
  run_chatgpt_api_test:
    parameters:
      inference_engine:
        type: string
      model_id:
        type: string
      expected_output:
        type: string
      prompt:
        type: string
    steps:
      - run:
          name: Run chatgpt api integration test (<<parameters.inference_engine>>, <<parameters.model_id>>)
          command: |
            source env/bin/activate

            # Set CLANG=1 for tinygrad only
            if [ "<<parameters.inference_engine>>" = "tinygrad" ]; then
              pip install llvmlite
              export TOKENIZERS_PARALLELISM=true SUPPORT_BF16=0 CLANG=1
            fi

            # Start first instance
            HF_HOME="$(pwd)/.hf_cache_node1" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
              --node-id "node1" --listen-port 5678 --broadcast-port 5679 --chatgpt-api-port 8000 \
              --chatgpt-api-response-timeout 900 --disable-tui > output1.log &
            PID1=$!
            tail -f output1.log &
            TAIL1=$!

            # Start second instance
            HF_HOME="$(pwd)/.hf_cache_node2" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
              --node-id "node2" --listen-port 5679 --broadcast-port 5678 --chatgpt-api-port 8001 \
              --chatgpt-api-response-timeout 900 --disable-tui > output2.log &
            PID2=$!
            tail -f output2.log &
            TAIL2=$!

            # Remember to kill the tail processes at the end
            trap 'kill $TAIL1 $TAIL2' EXIT

            # Wait for discovery
            sleep 10

            # Function to check if processes are still running
            check_processes() {
              if ! kill -0 $PID1 2>/dev/null; then
                echo "First instance (PID $PID1) died unexpectedly. Log output:"
                cat output1.log
                exit 1
              fi
              if ! kill -0 $PID2 2>/dev/null; then
                echo "Second instance (PID $PID2) died unexpectedly. Log output:"
                cat output2.log
                exit 1
              fi
            }

            # Check processes before proceeding
            check_processes

            echo "Sending request to first instance..."
            response_1=$(curl -s http://localhost:8000/v1/chat/completions \
              -H "Content-Type: application/json" \
              -d '{
                "model": "<<parameters.model_id>>",
                "messages": [{"role": "user", "content": "<<parameters.prompt>>"}],
                "temperature": 0.7
              }')
            echo "Response 1: $response_1"

            # Check processes after first response
            check_processes

            echo "Sending request to second instance..."
            response_2=$(curl -s http://localhost:8001/v1/chat/completions \
              -H "Content-Type: application/json" \
              -d '{
                "model": "<<parameters.model_id>>",
                "messages": [{"role": "user", "content": "<<parameters.prompt>>"}],
                "temperature": 0.7
              }')
            echo "Response 2: $response_2"

            # Check processes after second response
            check_processes

            # Stop both instances
            kill $PID1 $PID2

            echo ""
            # Extract content using jq and check if it contains expected output
            content1=$(echo "$response_1" | jq -r '.choices[0].message.content')
            content2=$(echo "$response_2" | jq -r '.choices[0].message.content')

            if [[ "$content1" != *"<<parameters.expected_output>>"* ]] || [[ "$content2" != *"<<parameters.expected_output>>"* ]]; then
              echo "Test failed: Response does not match '<<parameters.expected_output>>'"
              echo "Response 1 content: $content1"
              echo ""
              echo "Response 2 content: $content2"
              echo "Output of first instance:"
              cat output1.log
              echo "Output of second instance:"
              cat output2.log
              exit 1
            else
              echo "Test passed: Response from both nodes matches '<<parameters.expected_output>>'"
            fi

jobs:
  unit_test:
    macos:
      xcode: "16.0.0"
    resource_class: m2pro.large
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
      - run:
          name: Run tests
          command: |
            source env/bin/activate
            # set TEMPERATURE to 0 for deterministic sampling
            echo "Running inference engine tests..."
            METAL_DEVICE_WRAPPER_TYPE=1 METAL_DEBUG_ERROR_MODE=0 METAL_XCODE=1 TEMPERATURE=0 python3 -m exo.inference.test_inference_engine
            echo "Running tokenizer tests..."
            python3 ./test/test_tokenizers.py
            python3 ./test/test_model_helpers.py

  discovery_integration_test:
    macos:
      xcode: "16.0.0"
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
      - run:
          name: Run discovery integration test
          command: |
            source env/bin/activate
            DEBUG_DISCOVERY=7 DEBUG=7 exo --node-id "node1" --listen-port 5678 --broadcast-port 5679 --chatgpt-api-port 8000 --disable-tui > output1.log 2>&1 &
            PID1=$!
            DEBUG_DISCOVERY=7 DEBUG=7 exo --node-id "node2" --listen-port 5679 --broadcast-port 5678 --chatgpt-api-port 8001 --disable-tui > output2.log 2>&1 &
            PID2=$!
            sleep 10
            kill $PID1 $PID2
            if grep -q "Peer statuses: {\\'node2\\': \\'is_connected=True, health_check=True" output1.log && ! grep -q "Failed to connect peers:" output1.log && grep -q "Peer statuses: {\\'node1\\': \\'is_connected=True, health_check=True" output2.log && ! grep -q "Failed to connect peers:" output2.log; then
              echo "Test passed: Both instances discovered each other"
              exit 0
            else
              echo "Test failed: Devices did not discover each other"
              echo "Output of first instance:"
              cat output1.log
              echo "Output of second instance:"
              cat output2.log
              exit 1
            fi

  chatgpt_api_integration_test_mlx:
    macos:
      xcode: "16.0.0"
    resource_class: m2pro.large
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
      - run_chatgpt_api_test:
          inference_engine: mlx
          model_id: llama-3.2-1b
          prompt: "Keep responses concise. Who was the king of pop?"
          expected_output: "Michael Jackson"

  chatgpt_api_integration_test_dummy:
    macos:
      xcode: "16.0.0"
    resource_class: m2pro.large
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
      - run_chatgpt_api_test:
          inference_engine: dummy
          model_id: dummy
          prompt: "Dummy prompt."
          expected_output: "dummy"

  chatgpt_api_integration_test_tinygrad:
    macos:
      xcode: "16.0.0"
    resource_class: m2pro.large
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
      - run_chatgpt_api_test:
          inference_engine: tinygrad
          model_id: llama-3.2-1b
          prompt: "Keep responses concise. Who was the king of pop?"
          expected_output: "Michael Jackson"

  measure_pip_sizes:
    macos:
      xcode: "16.0.0"
    steps:
      - checkout
      - run:
          name: Set up Python
          command: |
            brew install python@3.12
            python3.12 -m venv env
            source env/bin/activate
      - run:
          name: Install dependencies and measure sizes
          command: |
            source env/bin/activate
            pip install --upgrade pip
            pip install .
            python ./extra/pipsize.py --json ./pipsize.json
      - store_artifacts:
          path: ./pipsize.json
          destination: pip-sizes.json

  check_line_count:
    docker:
      - image: cimg/python:3.10
    steps:
      - checkout

      - run:
          name: Setup git for PR comparison
          command: |
            if [[ -n "$CIRCLE_PULL_REQUEST" ]]; then
              PR_NUMBER=$(echo $CIRCLE_PULL_REQUEST | rev | cut -d'/' -f1 | rev)
              BASE_BRANCH=$(curl -s -H "Circle-Token: $CIRCLE_TOKEN" \
                "https://circleci.com/api/v2/project/github/$CIRCLE_PROJECT_USERNAME/$CIRCLE_PROJECT_REPONAME/pipeline/$CIRCLE_WORKFLOW_ID" \
                | jq -r '.target_branch')

              git clone -b $BASE_BRANCH --single-branch \
                https://github.com/$CIRCLE_PROJECT_USERNAME/$CIRCLE_PROJECT_REPONAME.git \
                base_branch
            fi

      - run:
          name: Install dependencies
          command: |
            python -m pip install --upgrade pip
            pip install tabulate

      - run:
          name: Run line count check
          command: |
            if [[ -n "$CIRCLE_PULL_REQUEST" ]]; then
              python extra/line_counter.py base_branch .
            else
              python extra/line_counter.py .
            fi

      - store_artifacts:
          path: line-count-snapshot.json
          destination: line-count-snapshot.json

      - store_artifacts:
          path: line-count-diff.json
          destination: line-count-diff.json

      - run:
          name: Create test results directory
          command: |
            mkdir -p test-results/line-count
            cp line-count-*.json test-results/line-count/

      - store_test_results:
          path: test-results

workflows:
  version: 2
  build_and_test:
    jobs:
      - check_line_count:
          filters:
            branches:
              only: /.*/
            tags:
              only: /.*/
      - unit_test
      - discovery_integration_test
      - chatgpt_api_integration_test_mlx
      - chatgpt_api_integration_test_tinygrad
      - chatgpt_api_integration_test_dummy
      - measure_pip_sizes