diff --git a/.circleci/config.yml b/.circleci/config.yml index 307247651e7..2b0a6924cce 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1330,6 +1330,57 @@ jobs: paths: - audio_coverage.xml - audio_coverage + redis_caching_unit_tests: + docker: + - image: cimg/python:3.11 + auth: + username: ${DOCKERHUB_USERNAME} + password: ${DOCKERHUB_PASSWORD} + working_directory: ~/project + + steps: + - checkout + - setup_google_dns + - run: + name: Install Dependencies + command: | + python -m pip install --upgrade pip uv + uv pip install --system -r requirements.txt + pip install "pytest==7.3.1" + 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==3.6.1" + pip install "pytest-rerunfailures==14.0" + # Run pytest and generate JUnit XML report + - run: + name: Run tests + command: | + pwd + ls + python -m pytest -vv \ + tests/local_testing/test_dual_cache.py \ + tests/local_testing/test_redis_batch_optimizations.py \ + tests/local_testing/test_router_utils.py \ + --cov=litellm --cov-report=xml \ + -x -s -v --junitxml=test-results/junit.xml \ + --durations=5 -n 2 \ + --reruns 2 --reruns-delay 1 + no_output_timeout: 20m + - run: + name: Rename the coverage files + command: | + mv coverage.xml redis_caching_coverage.xml + mv .coverage redis_caching_coverage + + # Store test results + - store_test_results: + path: test-results + - persist_to_workspace: + root: . + paths: + - redis_caching_coverage.xml + - redis_caching_coverage installing_litellm_on_python: docker: - image: cimg/python:3.11 @@ -2868,114 +2919,6 @@ jobs: - store_test_results: path: test-results - proxy_e2e_azure_batches_tests: - machine: - image: ubuntu-2204:2023.10.1 - resource_class: large - working_directory: ~/project - steps: - - checkout - - setup_google_dns - - run: - name: Install Docker CLI - command: | - curl -fsSL https://get.docker.com | sh - sudo usermod -aG docker $USER - docker version - - run: - name: Install Python 3.12 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.12 -y - conda activate myenv - python --version - - run: - name: Install Poetry - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - pip install poetry - - run: - name: Install dockerize - command: | - wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz - sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz - rm dockerize-linux-amd64-v0.6.1.tar.gz - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=llmproxy \ - -e POSTGRES_PASSWORD=dbpassword9090 \ - -e POSTGRES_DB=litellm \ - -p 5432:5432 \ - postgres:15 - - run: - name: Wait for PostgreSQL to be ready - command: dockerize -wait tcp://localhost:5432 -timeout 1m - - run: - name: Install system dependencies - command: | - sudo apt-get update -y - sudo apt-get install -y libpq-dev - - run: - name: Install Dependencies - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - poetry config virtualenvs.in-project true - poetry install --with dev,proxy-dev --extras "proxy" - poetry run pip install psycopg2-binary uvicorn fastapi httpx tenacity - - run: - name: Setup litellm-enterprise - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - poetry run pip install --force-reinstall --no-deps -e enterprise/ - - run: - name: Generate Prisma client - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - poetry run prisma generate --schema litellm/proxy/schema.prisma - - run: - name: Run Prisma migrations - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - export DATABASE_URL=postgresql://llmproxy:dbpassword9090@localhost:5432/litellm - cd litellm/proxy - poetry run prisma migrate deploy --schema schema.prisma - cd ../.. - - run: - name: Run Azure Batch E2E Tests - command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv - export DATABASE_URL=postgresql://llmproxy:dbpassword9090@localhost:5432/litellm - export USE_LOCAL_LITELLM=true - export USE_MOCK_MODELS=true - export USE_STATE_TRACKER=true - export LITELLM_LOG=DEBUG - poetry run pytest tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py \ - -vv -s -k "test_e2e_managed_batch" \ - --tb=short \ - --maxfail=3 \ - --durations=10 \ - --junitxml=test-results/junit.xml - no_output_timeout: 15m - upload-coverage: docker: - image: cimg/python:3.9 @@ -2997,7 +2940,7 @@ jobs: python -m venv venv . venv/bin/activate pip install coverage - coverage combine realtime_translation_coverage ocr_coverage search_coverage mcp_coverage litellm_mcps_tests_coverage logging_coverage audio_coverage local_testing_part1_coverage local_testing_part2_coverage pass_through_unit_tests_coverage batches_coverage guardrails_coverage + coverage combine realtime_translation_coverage ocr_coverage search_coverage mcp_coverage litellm_mcps_tests_coverage logging_coverage audio_coverage local_testing_part1_coverage local_testing_part2_coverage pass_through_unit_tests_coverage batches_coverage guardrails_coverage redis_caching_coverage coverage xml - codecov/upload: file: ./coverage.xml @@ -3182,6 +3125,117 @@ jobs: CI=true npm run test -- --run \ --pool forks --poolOptions.forks.maxForks=8 + e2e_ui_testing: + docker: + - image: cimg/python:3.12-browsers + auth: + username: ${DOCKERHUB_USERNAME} + password: ${DOCKERHUB_PASSWORD} + - image: cimg/postgres:16.0 + environment: + POSTGRES_USER: e2euser + POSTGRES_PASSWORD: e2epassword + POSTGRES_DB: litellm_e2e + resource_class: large + working_directory: ~/project + environment: + DATABASE_URL: "postgresql://e2euser:e2epassword@localhost:5432/litellm_e2e" + CI: "true" + steps: + - checkout + - setup_google_dns + - restore_cache: + keys: + - ui-e2e-py-deps-v1-{{ checksum "requirements.txt" }} + - run: + name: Install Python dependencies + command: | + python -m pip install --upgrade pip uv + uv pip install --system -r requirements.txt + pip install "prisma==0.11.0" + prisma generate --schema litellm/proxy/schema.prisma + - save_cache: + key: ui-e2e-py-deps-v1-{{ checksum "requirements.txt" }} + paths: + - ~/.local/lib + - ~/.local/bin + - restore_cache: + keys: + - ui-e2e-node-deps-v1-{{ checksum "ui/litellm-dashboard/package-lock.json" }} + - run: + name: Install Node dependencies and Playwright + command: | + cd ui/litellm-dashboard + npm ci + npx playwright install chromium --with-deps + - save_cache: + key: ui-e2e-node-deps-v1-{{ checksum "ui/litellm-dashboard/package-lock.json" }} + paths: + - ui/litellm-dashboard/node_modules + - run: + name: Build UI from source + command: | + cd ui/litellm-dashboard + npm run build + cp -r out/ ../../litellm/proxy/_experimental/out/ + # Restructure HTML so extensionless routes work (login.html -> login/index.html) + find ../../litellm/proxy/_experimental/out -name '*.html' ! -name 'index.html' | while read -r f; do + d="${f%.html}"; mkdir -p "$d"; mv "$f" "$d/index.html" + done + - run: + name: Wait for PostgreSQL + command: dockerize -wait tcp://localhost:5432 -timeout 30s + - run: + name: Push Prisma schema + command: prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss + - run: + name: Seed database + command: | + PGPASSWORD=e2epassword psql -h localhost -p 5432 -U e2euser -d litellm_e2e \ + -f ui/litellm-dashboard/e2e_tests/fixtures/seed.sql + - run: + name: Start mock LLM server + command: python ui/litellm-dashboard/e2e_tests/fixtures/mock_llm_server/server.py + background: true + - run: + name: Start LiteLLM proxy + environment: + LITELLM_MASTER_KEY: "sk-1234" + MOCK_LLM_URL: "http://127.0.0.1:8090/v1" + DISABLE_SCHEMA_UPDATE: "true" + SERVER_ROOT_PATH: "" + PROXY_LOGOUT_URL: "" + command: | + python -m litellm.proxy.proxy_cli \ + --config ui/litellm-dashboard/e2e_tests/fixtures/config.yml \ + --port 4000 + background: true + - run: + name: Wait for proxy to be ready + command: | + for i in $(seq 1 60); do + HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:4000/health -H "Authorization: Bearer sk-1234" 2>/dev/null || true) + if [ "$HTTP_CODE" = "200" ]; then + echo "Proxy is ready" + exit 0 + fi + sleep 2 + done + echo "Proxy failed to start" + exit 1 + - run: + name: Run Playwright E2E tests + command: | + cd ui/litellm-dashboard + npx playwright test --config e2e_tests/playwright.config.ts + no_output_timeout: 10m + - store_artifacts: + path: ui/litellm-dashboard/test-results + destination: e2e-test-results + - store_artifacts: + path: ui/litellm-dashboard/playwright-report + destination: e2e-playwright-report + build_docker_database_image: machine: image: ubuntu-2204:2024.04.1 @@ -3207,80 +3261,6 @@ jobs: paths: - litellm-docker-database.tar.zst - e2e_ui_testing: - machine: - image: ubuntu-2204:2023.10.1 - resource_class: large - working_directory: ~/project - parameters: - browser: - type: string - steps: - - checkout - - setup_google_dns - - attach_workspace: - at: ~/project - - run: - name: Load Docker Database Image - command: | - zstd -d litellm-docker-database.tar.zst --stdout | docker load - docker images | grep litellm-docker-database - - run: - name: Install Dependencies - command: | - npm install -D @playwright/test - - run: - name: Install Playwright Browsers - command: | - npx playwright install - - run: - name: Run Docker container - command: | - docker run -d \ - -p 4000:4000 \ - -e DATABASE_URL=$E2E_UI_TEST_DATABASE_URL \ - -e LITELLM_MASTER_KEY="sk-1234" \ - -e OPENAI_API_KEY=$OPENAI_API_KEY \ - -e UI_USERNAME="admin" \ - -e UI_PASSWORD="gm" \ - -e LITELLM_LICENSE=$LITELLM_LICENSE \ - --name litellm-docker-database-<< parameters.browser >> \ - -v $(pwd)/litellm/proxy/example_config_yaml/simple_config.yaml:/app/config.yaml \ - litellm-docker-database:ci \ - --config /app/config.yaml \ - --port 4000 \ - --detailed_debug - - run: - name: Install curl and dockerize - command: | - sudo apt-get update - sudo apt-get install -y curl - sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz - sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz - sudo rm dockerize-linux-amd64-v0.6.1.tar.gz - - run: - name: Start outputting logs - command: docker logs -f litellm-docker-database-<< parameters.browser >> - background: true - - run: - name: Wait for app to be ready - command: dockerize -wait http://localhost:4000 -timeout 5m - - run: - name: Run Playwright Tests - command: | - npx playwright test \ - --project << parameters.browser >> \ - --config ui/litellm-dashboard/e2e_tests/playwright.config.ts \ - --reporter=html \ - --output=test-results - no_output_timeout: 15m - - store_artifacts: - path: test-results - destination: playwright-results - - - store_artifacts: - path: playwright-report - destination: playwright-report prisma_schema_sync: machine: @@ -3509,32 +3489,12 @@ workflows: only: - main - /litellm_.*/ - # - e2e_ui_testing: - # name: e2e_ui_testing_chromium - # browser: chromium - # context: e2e_ui_tests - # requires: - # - ui_build - # - build_docker_database_image - # - prisma_schema_sync - # filters: - # branches: - # only: - # - main - # - /litellm_.*/ - # - e2e_ui_testing: - # name: e2e_ui_testing_firefox - # browser: firefox - # context: e2e_ui_tests - # requires: - # - ui_build - # - build_docker_database_image - # - prisma_schema_sync - # filters: - # branches: - # only: - # - main - # - /litellm_.*/ + - e2e_ui_testing: + filters: + branches: + only: + - main + - /litellm_.*/ - build_and_test: requires: - build_docker_database_image @@ -3605,12 +3565,6 @@ workflows: only: - main - /litellm_.*/ - - proxy_e2e_azure_batches_tests: - filters: - branches: - only: - - main - - /litellm_.*/ - llm_translation_testing: filters: branches: @@ -3729,6 +3683,12 @@ workflows: only: - main - /litellm_.*/ + - redis_caching_unit_tests: + filters: + branches: + only: + - main + - /litellm_.*/ - upload-coverage: requires: - realtime_translation_testing @@ -3747,6 +3707,7 @@ workflows: - image_gen_testing - logging_testing - audio_testing + - redis_caching_unit_tests - langfuse_logging_unit_tests - local_testing_part1 - local_testing_part2 diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index d830c16dfa2..210f232b170 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -32,6 +32,13 @@ If you're seeing a delay in your PR being merged, ping the LiteLLM Team on [Slac - [ ] **Merge / cherry-pick CI run** Links: +## Screenshots / Proof of Fix + + + ## Type diff --git a/.github/workflows/_test-unit-base.yml b/.github/workflows/_test-unit-base.yml index f1ae30e67d7..d8dec73c428 100644 --- a/.github/workflows/_test-unit-base.yml +++ b/.github/workflows/_test-unit-base.yml @@ -27,6 +27,10 @@ on: required: false type: number default: 10 + artifact-name: + description: "Unique name for the coverage artifact (must be unique per run)" + required: true + type: string permissions: contents: read @@ -93,4 +97,46 @@ jobs: --reruns "${RERUNS}" \ --reruns-delay 1 \ --dist=loadscope \ - --durations=20 + --durations=20 \ + --cov=litellm \ + --cov-report=xml:coverage.xml \ + --cov-config=pyproject.toml + + - name: Save coverage report + if: always() + uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 + with: + name: coverage-${{ inputs.artifact-name }}-${{ github.run_id }}-${{ github.run_attempt }} + path: coverage.xml + retention-days: 1 + + upload-coverage: + name: Upload coverage to Codecov + needs: run + if: always() + runs-on: ubuntu-latest + permissions: + contents: read + id-token: write + pull-requests: write + + steps: + - name: Checkout code + uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - name: Download coverage report + uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4.2.1 + with: + pattern: coverage-${{ inputs.artifact-name }}-${{ github.run_id }}-${{ github.run_attempt }} + path: coverage-reports + merge-multiple: true + + - name: Upload to Codecov + uses: codecov/codecov-action@75cd11691c0faa626561e295848008c8a7dddffe # v5.5.4 + with: + use_oidc: true + directory: coverage-reports + root_dir: ${{ github.workspace }} + fail_ci_if_error: false diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index d53a9e8822a..ce4c048c624 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -27,23 +27,17 @@ on: required: false type: number default: 10 - enable-redis: - description: "Pass Redis Cloud credentials to tests via REDIS_HOST/PORT/PASSWORD env vars" - required: false - type: boolean - default: false enable-postgres: description: "Start a local Postgres service container and run Prisma migrations" required: false type: boolean default: false + artifact-name: + description: "Unique name for the coverage artifact (must be unique per run)" + required: false + type: string + default: "run" secrets: - REDIS_HOST: - required: false - REDIS_PORT: - required: false - REDIS_PASSWORD: - required: false DATABASE_URL: required: false POSTGRES_USER: @@ -61,11 +55,8 @@ jobs: timeout-minutes: ${{ inputs.timeout-minutes }} # Environment is derived from the enable-* flags, not caller-controllable. # This prevents callers from passing arbitrary environment names to bypass secret scoping. - # Note: Postgres service container always starts (GHA limitation), so any Redis job - # also needs Postgres secrets → uses integration-redis-postgres, not integration-redis. environment: >- ${{ - inputs.enable-redis && 'integration-redis-postgres' || inputs.enable-postgres && 'integration-postgres' || '' }} @@ -141,9 +132,6 @@ jobs: WORKERS: ${{ inputs.workers }} RERUNS: ${{ inputs.reruns }} DATABASE_URL: ${{ inputs.enable-postgres && secrets.DATABASE_URL || '' }} - REDIS_HOST: ${{ inputs.enable-redis && secrets.REDIS_HOST || '' }} - REDIS_PORT: ${{ inputs.enable-redis && secrets.REDIS_PORT || '' }} - REDIS_PASSWORD: ${{ inputs.enable-redis && secrets.REDIS_PASSWORD || '' }} run: | if [ "${WORKERS}" = "0" ]; then poetry run pytest ${TEST_PATH:?} \ @@ -151,7 +139,10 @@ jobs: --maxfail="${MAX_FAILURES}" \ --reruns "${RERUNS}" \ --reruns-delay 1 \ - --durations=20 + --durations=20 \ + --cov=litellm \ + --cov-report=xml:coverage.xml \ + --cov-config=pyproject.toml else poetry run pytest ${TEST_PATH:?} \ --tb=short -vv \ @@ -160,5 +151,47 @@ jobs: --reruns "${RERUNS}" \ --reruns-delay 1 \ --dist=loadscope \ - --durations=20 + --durations=20 \ + --cov=litellm \ + --cov-report=xml:coverage.xml \ + --cov-config=pyproject.toml fi + + - name: Save coverage report + if: always() + uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 + with: + name: coverage-${{ inputs.artifact-name }}-${{ github.run_id }}-${{ github.run_attempt }} + path: coverage.xml + retention-days: 1 + + upload-coverage: + name: Upload coverage to Codecov + needs: run + if: always() + runs-on: ubuntu-latest + permissions: + contents: read + id-token: write + pull-requests: write + + steps: + - name: Checkout code + uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - name: Download coverage report + uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4.2.1 + with: + pattern: coverage-${{ inputs.artifact-name }}-${{ github.run_id }}-${{ github.run_attempt }} + path: coverage-reports + merge-multiple: true + + - name: Upload to Codecov + uses: codecov/codecov-action@75cd11691c0faa626561e295848008c8a7dddffe # v5.5.4 + with: + use_oidc: true + directory: coverage-reports + root_dir: ${{ github.workspace }} + fail_ci_if_error: false diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml index 2ae01823a96..b8633979854 100644 --- a/.github/workflows/create-release.yml +++ b/.github/workflows/create-release.yml @@ -48,7 +48,21 @@ jobs: const cosignSection = [ `## Verify Docker Image Signature`, ``, - `All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). To verify the integrity of an image before deploying:`, + `All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit \`0112e53\`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0).`, + ``, + `**Verify using the pinned commit hash (recommended):**`, + ``, + `A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key:`, + ``, + '```bash', + `cosign verify \\`, + ` --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \\`, + ` ghcr.io/berriai/litellm:${tag}`, + '```', + ``, + `**Verify using the release tag (convenience):**`, + ``, + `Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules:`, ``, '```bash', `cosign verify \\`, diff --git a/.github/workflows/test-litellm-matrix.yml b/.github/workflows/test-litellm-matrix.yml deleted file mode 100644 index dafabe4d83e..00000000000 --- a/.github/workflows/test-litellm-matrix.yml +++ /dev/null @@ -1,214 +0,0 @@ -name: LiteLLM Unit Tests (Matrix) - -on: - pull_request: - branches: [main] - -permissions: - contents: read - -# Cancel in-progress runs for the same PR -concurrency: - group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} - cancel-in-progress: true - -jobs: - test: - runs-on: ubuntu-latest - timeout-minutes: 20 # Increased from 15 to 20 - strategy: - fail-fast: false - matrix: - test-group: - # tests/test_litellm split by subdirectory (~560 files total) - # Vertex AI tests separated for better isolation (prevent auth/env pollution) - - name: "llms-vertex" - path: "tests/test_litellm/llms/vertex_ai" - workers: 1 - reruns: 2 - - name: "llms-other" - path: "tests/test_litellm/llms --ignore=tests/test_litellm/llms/vertex_ai" - workers: 2 - reruns: 2 - # tests/test_litellm/proxy split by subdirectory (~180 files total) - - name: "proxy-guardrails" - path: "tests/test_litellm/proxy/guardrails tests/test_litellm/proxy/management_endpoints tests/test_litellm/proxy/management_helpers" - workers: 2 - reruns: 2 - - name: "proxy-core" - path: "tests/test_litellm/proxy/auth tests/test_litellm/proxy/client tests/test_litellm/proxy/db tests/test_litellm/proxy/hooks tests/test_litellm/proxy/policy_engine" - workers: 2 - reruns: 2 - - name: "proxy-misc" - path: "tests/test_litellm/proxy/_experimental tests/test_litellm/proxy/agent_endpoints tests/test_litellm/proxy/anthropic_endpoints tests/test_litellm/proxy/common_utils tests/test_litellm/proxy/discovery_endpoints tests/test_litellm/proxy/experimental tests/test_litellm/proxy/google_endpoints tests/test_litellm/proxy/health_endpoints tests/test_litellm/proxy/image_endpoints tests/test_litellm/proxy/middleware tests/test_litellm/proxy/openai_files_endpoint tests/test_litellm/proxy/pass_through_endpoints tests/test_litellm/proxy/prompts tests/test_litellm/proxy/public_endpoints tests/test_litellm/proxy/response_api_endpoints tests/test_litellm/proxy/spend_tracking tests/test_litellm/proxy/ui_crud_endpoints tests/test_litellm/proxy/vector_store_endpoints tests/test_litellm/proxy/test_*.py" - workers: 2 - reruns: 2 - - name: "integrations" - path: "tests/test_litellm/integrations" - workers: 2 - reruns: 3 # Integration tests tend to be flakier - - name: "core-utils" - path: "tests/test_litellm/litellm_core_utils" - workers: 2 - reruns: 1 - - name: "other-1" - # responses (5942) + caching (1723) + types (819) ≈ 8.5k lines - path: "tests/test_litellm/responses tests/test_litellm/caching tests/test_litellm/types" - workers: 2 - reruns: 2 - - name: "other-2" - # enterprise (3062) + google_genai (2511) + router_utils (1982) ≈ 7.6k lines - path: "tests/test_litellm/enterprise tests/test_litellm/google_genai tests/test_litellm/router_utils" - workers: 2 - reruns: 2 - - name: "other-3" - # remaining dirs ≈ 8.0k lines - path: "tests/test_litellm/router_strategy tests/test_litellm/secret_managers tests/test_litellm/a2a_protocol tests/test_litellm/anthropic_interface tests/test_litellm/completion_extras tests/test_litellm/containers tests/test_litellm/experimental_mcp_client tests/test_litellm/images tests/test_litellm/interactions tests/test_litellm/passthrough tests/test_litellm/vector_stores" - workers: 2 - reruns: 2 - - name: "root" - path: "tests/test_litellm/test_*.py" - workers: 2 - reruns: 2 - # tests/proxy_unit_tests split alphabetically (~48 files total) - - name: "proxy-unit-a1" - # test_[a-j]*.py: jwt (1564) + auth_checks (978) + google_gemini (478) + e2e_pod_lock (437) + rest - path: "tests/proxy_unit_tests/test_[a-j]*.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-a2" - # test_[k-o]*.py: key_generate_prisma (4346) + key_generate_dynamodb + models_fallback - path: "tests/proxy_unit_tests/test_[k-o]*.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b1" - # lighter config/utility proxy tests (prisma, project, prompt, proxy_[c-r]*) - path: "tests/proxy_unit_tests/test_prisma*.py tests/proxy_unit_tests/test_project*.py tests/proxy_unit_tests/test_prompt*.py tests/proxy_unit_tests/test_proxy_[c-r]*.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b2" - # proxy_server.py alone (2750 lines) - isolated to avoid blocking smaller tests - path: "tests/proxy_unit_tests/test_proxy_server.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b3" - # proxy_server_* (618) + proxy_setting_guardrails (71) - smaller server-related tests - path: "tests/proxy_unit_tests/test_proxy_server_*.py tests/proxy_unit_tests/test_proxy_setting_guardrails.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b4" - # proxy_utils.py alone (2339 lines) - isolated to avoid blocking token counter - path: "tests/proxy_unit_tests/test_proxy_utils.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b5" - # proxy_token_counter (1279) - runs independently from utils - path: "tests/proxy_unit_tests/test_proxy_token_counter.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b6" - # test_[r-t]*.py: response_polling (1399) + search_api_logging (202) + server_root (64) + skills_db (261) + realtime_cache (62) - path: "tests/proxy_unit_tests/test_[r-t]*.py" - workers: 2 - reruns: 1 - - name: "proxy-unit-b7" - # test_[u-z]*.py: user_api_key_auth (1136) + zero_cost (590) + update_spend (305) + unit_test_* (206) + ui_path (157) - path: "tests/proxy_unit_tests/test_[u-z]*.py" - workers: 2 - reruns: 1 - - name: test (${{ matrix.test-group.name }}) - - steps: - - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 - with: - persist-credentials: false - - - name: Set up Python - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 - with: - python-version: "3.12" - - - name: Install Poetry - run: pip install 'poetry==2.3.2' - - - name: Cache Poetry dependencies - uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.0.0 - with: - path: | - ~/.cache/pypoetry - ~/.cache/pip - .venv - key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry- - - - name: Install dependencies - run: | - poetry config virtualenvs.in-project true - poetry install --with dev,proxy-dev --extras "proxy semantic-router" - # pytest-rerunfailures and pytest-xdist are in pyproject.toml dev dependencies - poetry run pip install google-genai==1.22.0 \ - google-cloud-aiplatform==1.115.0 fastapi-offline==1.7.3 python-multipart==0.0.22 openapi-core==0.23.0 - - - name: Setup litellm-enterprise - run: | - poetry run pip install --force-reinstall --no-deps -e enterprise/ - - - name: Generate Prisma client - env: - PRISMA_BINARY_CACHE_DIR: ${{ runner.temp }}/prisma-cache - run: | - poetry run pip install nodejs-wheel-binaries==24.13.1 - poetry run prisma generate --schema litellm/proxy/schema.prisma - - - name: Run tests - ${{ matrix.test-group.name }} - run: | - poetry run pytest ${{ matrix.test-group.path }} \ - --tb=short -vv \ - --maxfail=10 \ - -n ${{ matrix.test-group.workers }} \ - --reruns ${{ matrix.test-group.reruns }} \ - --reruns-delay 1 \ - --dist=loadscope \ - --durations=20 \ - --cov=litellm \ - --cov-report=xml:coverage-${{ matrix.test-group.name }}.xml \ - --cov-config=pyproject.toml - - - name: Save coverage report - if: always() - uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 - with: - name: coverage-${{ matrix.test-group.name }} - path: coverage-${{ matrix.test-group.name }}.xml - retention-days: 1 - - upload-coverage: - name: Upload coverage to Codecov - needs: test - if: always() - runs-on: ubuntu-latest - permissions: - contents: read - id-token: write # Required for OIDC tokenless upload - pull-requests: write # Required for Codecov PR comments - - steps: - - name: Checkout code - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 - - - name: Download all coverage reports - uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4.2.1 - with: - pattern: coverage-* - path: coverage-reports - merge-multiple: true - - - name: Upload to Codecov - uses: codecov/codecov-action@aa56896cf108bd10b5eb883cd1d24196da57f695 # v5.5.4 - with: - use_oidc: true - directory: coverage-reports - root_dir: ${{ github.workspace }} - fail_ci_if_error: false diff --git a/.github/workflows/test-proxy-e2e-azure-batches.yml b/.github/workflows/test-proxy-e2e-azure-batches.yml deleted file mode 100644 index 7cbbe0b338f..00000000000 --- a/.github/workflows/test-proxy-e2e-azure-batches.yml +++ /dev/null @@ -1,97 +0,0 @@ -name: Proxy E2E Azure Batches Tests - -on: - pull_request: - branches: [main] - workflow_dispatch: - -concurrency: - group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} - cancel-in-progress: true - -permissions: - contents: read - -jobs: - proxy_e2e_azure_batches_tests: - runs-on: ubuntu-latest - timeout-minutes: 30 - - services: - postgres: - image: postgres:15 - env: - POSTGRES_USER: llmproxy - POSTGRES_PASSWORD: dbpassword9090 - POSTGRES_DB: litellm - ports: - - 5432:5432 - options: >- - --health-cmd pg_isready - --health-interval 10s - --health-timeout 5s - --health-retries 5 - - steps: - - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 - with: - persist-credentials: false - - - name: Set up Python - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 - with: - python-version: "3.12" - - - name: Install Poetry - run: pip install 'poetry==2.3.2' - - - name: Cache Poetry dependencies - uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.0.0 - with: - path: | - ~/.cache/pypoetry - ~/.cache/pip - .venv - key: ${{ runner.os }}-poetry-e2e-batches-${{ hashFiles('poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry-e2e-batches- - ${{ runner.os }}-poetry- - - - name: Install dependencies - run: | - poetry config virtualenvs.in-project true - poetry install --with dev,proxy-dev --extras "proxy" - poetry run pip install psycopg2-binary==2.9.11 uvicorn==0.42.0 fastapi==0.135.2 httpx==0.28.1 tenacity==9.1.4 - - - name: Setup litellm-enterprise - run: | - poetry run pip install --force-reinstall --no-deps -e enterprise/ - - - name: Generate Prisma client - env: - PRISMA_BINARY_CACHE_DIR: ${{ runner.temp }}/prisma-cache - run: | - poetry run pip install nodejs-wheel-binaries==24.13.1 - poetry run prisma generate --schema litellm/proxy/schema.prisma - - - name: Run Prisma migrations - env: - DATABASE_URL: postgresql://llmproxy:dbpassword9090@localhost:5432/litellm - run: | - cd litellm/proxy - poetry run prisma migrate deploy --schema schema.prisma - cd ../.. - - - name: Run Azure Batch E2E Tests - env: - DATABASE_URL: postgresql://llmproxy:dbpassword9090@localhost:5432/litellm - USE_LOCAL_LITELLM: "true" - USE_MOCK_MODELS: "true" - USE_STATE_TRACKER: "true" - LITELLM_LOG: DEBUG - run: | - poetry run pytest tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py \ - -vv -s -k "test_e2e_managed_batch" \ - --tb=short \ - --maxfail=3 \ - --durations=10 diff --git a/.github/workflows/test-unit-caching-redis.yml b/.github/workflows/test-unit-caching-redis.yml deleted file mode 100644 index ca274324f2f..00000000000 --- a/.github/workflows/test-unit-caching-redis.yml +++ /dev/null @@ -1,38 +0,0 @@ -name: "Unit Tests: Caching (Redis)" - -# Uses cloud Redis credentials — only runs on trusted branches, not PRs. -# This prevents external PRs from accessing Redis credentials. -on: - push: - branches: [main, "litellm_*"] - -permissions: - contents: read - -concurrency: - group: ${{ github.workflow }}-${{ github.ref }} - cancel-in-progress: true - -jobs: - caching-redis: - uses: ./.github/workflows/_test-unit-services-base.yml - with: - # Redis-only tests that do NOT require provider API keys. - # Tests needing API keys (test_caching.py, test_caching_ssl.py, test_prometheus_service.py, - # test_router_caching.py) are in Phase 3 integration workflows. - test-path: >- - tests/local_testing/test_dual_cache.py - tests/local_testing/test_redis_batch_optimizations.py - tests/local_testing/test_router_utils.py - workers: 2 - reruns: 2 - timeout-minutes: 20 - enable-redis: true - enable-postgres: false - secrets: - REDIS_HOST: ${{ secrets.REDIS_HOST }} - REDIS_PORT: ${{ secrets.REDIS_PORT }} - REDIS_PASSWORD: ${{ secrets.REDIS_PASSWORD }} - DATABASE_URL: ${{ secrets.DATABASE_URL }} - POSTGRES_USER: ${{ secrets.POSTGRES_USER }} - POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} diff --git a/.github/workflows/test-unit-core-utils.yml b/.github/workflows/test-unit-core-utils.yml index 2f3698fdf60..9696cea5616 100644 --- a/.github/workflows/test-unit-core-utils.yml +++ b/.github/workflows/test-unit-core-utils.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -18,3 +20,4 @@ jobs: test-path: "tests/test_litellm/litellm_core_utils" workers: 2 reruns: 1 + artifact-name: core-utils diff --git a/.github/workflows/test-unit-enterprise-routing.yml b/.github/workflows/test-unit-enterprise-routing.yml index 13ae3efedba..986de119535 100644 --- a/.github/workflows/test-unit-enterprise-routing.yml +++ b/.github/workflows/test-unit-enterprise-routing.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -22,3 +24,4 @@ jobs: tests/test_litellm/router_strategy workers: 2 reruns: 2 + artifact-name: enterprise-routing diff --git a/.github/workflows/test-unit-integrations.yml b/.github/workflows/test-unit-integrations.yml index 2789f99d81c..e73c09d6cd8 100644 --- a/.github/workflows/test-unit-integrations.yml +++ b/.github/workflows/test-unit-integrations.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -18,3 +20,4 @@ jobs: test-path: "tests/test_litellm/integrations" workers: 2 reruns: 3 + artifact-name: integrations diff --git a/.github/workflows/test-unit-llm-providers.yml b/.github/workflows/test-unit-llm-providers.yml index 6c00272b0c8..2fb4cf8c1db 100644 --- a/.github/workflows/test-unit-llm-providers.yml +++ b/.github/workflows/test-unit-llm-providers.yml @@ -14,16 +14,26 @@ concurrency: jobs: vertex-ai: name: Vertex AI + permissions: + contents: read + id-token: write + pull-requests: write uses: ./.github/workflows/_test-unit-base.yml with: test-path: "tests/test_litellm/llms/vertex_ai" workers: 1 reruns: 2 + artifact-name: llm-vertex-ai other-providers: name: All Other Providers + permissions: + contents: read + id-token: write + pull-requests: write uses: ./.github/workflows/_test-unit-base.yml with: test-path: "tests/test_litellm/llms --ignore=tests/test_litellm/llms/vertex_ai" workers: 2 reruns: 2 + artifact-name: llm-other-providers diff --git a/.github/workflows/test-unit-misc.yml b/.github/workflows/test-unit-misc.yml index 9228decd7cc..e44133867e6 100644 --- a/.github/workflows/test-unit-misc.yml +++ b/.github/workflows/test-unit-misc.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -29,3 +31,4 @@ jobs: tests/test_litellm/test_*.py workers: 2 reruns: 2 + artifact-name: misc diff --git a/.github/workflows/test-unit-proxy-auth.yml b/.github/workflows/test-unit-proxy-auth.yml index e71821db701..5e427a39f35 100644 --- a/.github/workflows/test-unit-proxy-auth.yml +++ b/.github/workflows/test-unit-proxy-auth.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -18,3 +20,4 @@ jobs: test-path: "tests/test_litellm/proxy/auth tests/test_litellm/proxy/hooks tests/test_litellm/proxy/policy_engine tests/test_litellm/proxy/client" workers: 2 reruns: 2 + artifact-name: proxy-auth diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index bdfb6efeef1..49d399e8741 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -14,6 +14,10 @@ concurrency: jobs: proxy-db: + permissions: + contents: read + id-token: write + pull-requests: write strategy: fail-fast: false matrix: @@ -37,8 +41,8 @@ jobs: workers: ${{ matrix.workers }} reruns: 2 timeout-minutes: ${{ matrix.timeout }} - enable-redis: false enable-postgres: true + artifact-name: proxy-db-${{ matrix.test-group }} secrets: DATABASE_URL: ${{ secrets.DATABASE_URL }} POSTGRES_USER: ${{ secrets.POSTGRES_USER }} diff --git a/.github/workflows/test-unit-proxy-endpoints.yml b/.github/workflows/test-unit-proxy-endpoints.yml index caff3b3ae06..67d35ef794e 100644 --- a/.github/workflows/test-unit-proxy-endpoints.yml +++ b/.github/workflows/test-unit-proxy-endpoints.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -33,3 +35,4 @@ jobs: tests/test_litellm/proxy/ui_crud_endpoints workers: 2 reruns: 2 + artifact-name: proxy-endpoints diff --git a/.github/workflows/test-unit-proxy-infra.yml b/.github/workflows/test-unit-proxy-infra.yml index 4dfbbe317ed..56801569345 100644 --- a/.github/workflows/test-unit-proxy-infra.yml +++ b/.github/workflows/test-unit-proxy-infra.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -26,3 +28,4 @@ jobs: tests/test_litellm/proxy/test_*.py workers: 2 reruns: 2 + artifact-name: proxy-infra diff --git a/.github/workflows/test-unit-responses-caching-types.yml b/.github/workflows/test-unit-responses-caching-types.yml index 7f3acac2803..771a695a70c 100644 --- a/.github/workflows/test-unit-responses-caching-types.yml +++ b/.github/workflows/test-unit-responses-caching-types.yml @@ -6,6 +6,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} @@ -18,3 +20,4 @@ jobs: test-path: "tests/test_litellm/responses tests/test_litellm/caching tests/test_litellm/types" workers: 2 reruns: 2 + artifact-name: responses-caching-types diff --git a/.github/workflows/test-unit-security.yml b/.github/workflows/test-unit-security.yml index b38c82b1c24..76d3be3e63c 100644 --- a/.github/workflows/test-unit-security.yml +++ b/.github/workflows/test-unit-security.yml @@ -7,6 +7,8 @@ on: permissions: contents: read + id-token: write + pull-requests: write concurrency: group: ${{ github.workflow }}-${{ github.ref }} @@ -20,8 +22,8 @@ jobs: workers: 1 reruns: 2 timeout-minutes: 20 - enable-redis: false enable-postgres: true + artifact-name: security secrets: DATABASE_URL: ${{ secrets.DATABASE_URL }} POSTGRES_USER: ${{ secrets.POSTGRES_USER }} diff --git a/AGENTS.md b/AGENTS.md index ba9c9b356bc..37411938e2f 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -254,7 +254,7 @@ See `CLAUDE.md` and the `Makefile` for standard commands. Key notes: - `openapi-core` must be installed (`poetry run pip install openapi-core`) for the OpenAPI compliance tests in `tests/test_litellm/interactions/`. - The `--timeout` pytest flag is NOT available; don't pass it. - Unit tests: `poetry run pytest tests/test_litellm/ -x -vv -n 4` -- Black `--check` may report pre-existing formatting issues; this does not block test runs. +- **Before committing, always run `poetry run black .` to format your code.** Black formatting is enforced in CI. - If `poetry install` fails with "pyproject.toml changed significantly since poetry.lock was last generated", run `poetry lock` first to regenerate the lock file. ### Lint diff --git a/CLAUDE.md b/CLAUDE.md index f0478120181..a8800ff8884 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -20,6 +20,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co - `make format` - Apply Black code formatting - `make lint-ruff` - Run Ruff linting only - `make lint-mypy` - Run MyPy type checking only +- **Before committing, always run `poetry run black .` to format your code.** Black formatting is enforced in CI. ### Single Test Files - `poetry run pytest tests/path/to/test_file.py -v` - Run specific test file diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 77bc15ff50b..c029ccce1ab 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -149,6 +149,19 @@ Apply formatting (auto-fixes issues): make format ``` +> **Black formatting is enforced in CI.** All PRs must pass the Black formatting check. +> +> - **AI coding agents** (Claude Code, Copilot, Cursor, etc.): `AGENTS.md` and `CLAUDE.md` instruct agents to run `poetry run black .` before committing. +> - **VS Code users**: Install the [Black Formatter extension](https://marketplace.visualstudio.com/items?itemName=ms-python.black-formatter) and enable format-on-save: +> ```json +> { +> "[python]": { +> "editor.defaultFormatter": "ms-python.black-formatter", +> "editor.formatOnSave": true +> } +> } +> ``` + ### CI Compatibility To ensure your changes will pass CI, run the exact same checks locally: diff --git a/README.md b/README.md index 7d910617f7e..d7b8bad69f3 100644 --- a/README.md +++ b/README.md @@ -404,6 +404,32 @@ Support for more providers. Missing a provider or LLM Platform, raise a [feature 2. Install dependencies `npm install` 3. Run `npm run dev` to start the dashboard +# Verify Docker Image Signatures + +All LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0). + +**Verify using the pinned commit hash (recommended):** + +A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm: +``` + +**Verify using a release tag (convenience):** + +Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm//cosign.pub \ + ghcr.io/berriai/litellm: +``` + +Replace `` with the version you are deploying (e.g. `v1.83.0-stable`). + # Enterprise For companies that need better security, user management and professional support diff --git a/docker/Dockerfile.custom_ui b/docker/Dockerfile.custom_ui index f836190a49a..cc44893bf92 100644 --- a/docker/Dockerfile.custom_ui +++ b/docker/Dockerfile.custom_ui @@ -71,8 +71,16 @@ WORKDIR /app RUN sed -i 's/\r$//' docker/entrypoint.sh && chmod +x docker/entrypoint.sh RUN sed -i 's/\r$//' docker/prod_entrypoint.sh && chmod +x docker/prod_entrypoint.sh +# Run as non-root user +RUN groupadd --gid 1000 appuser && useradd --uid 1000 --gid 1000 --no-create-home appuser \ + && chown -R appuser:appuser /app +USER appuser + # Expose the necessary port EXPOSE 4000/tcp +HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \ + CMD ["python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:4000/health')"] + # Override the CMD instruction with your desired command and arguments CMD ["--port", "4000", "--config", "config.yaml", "--detailed_debug"] \ No newline at end of file diff --git a/docker/Dockerfile.health_check b/docker/Dockerfile.health_check index fb9cc201d2f..e968bec340e 100644 --- a/docker/Dockerfile.health_check +++ b/docker/Dockerfile.health_check @@ -13,12 +13,12 @@ RUN pip install --no-cache-dir -r requirements.txt RUN chmod +x /app/health_check_client.py # Run as non-root user -RUN adduser --disabled-password --gecos "" --uid 1001 healthcheck -USER healthcheck +RUN groupadd --gid 1000 appuser && useradd --uid 1000 --gid 1000 --no-create-home appuser +USER appuser # Health check -HEALTHCHECK --interval=30s --timeout=5s --retries=3 \ - CMD python /app/health_check_client.py --help || exit 1 +HEALTHCHECK --interval=30s --timeout=5s --start-period=5s --retries=3 \ + CMD ["python", "/app/health_check_client.py", "--help"] # Set entrypoint ENTRYPOINT ["python", "/app/health_check_client.py"] diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 8e911e95ffa..f3c7728146d 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -41,22 +41,24 @@ COPY . . ENV LITELLM_NON_ROOT=true # Build Admin UI using the upstream command order while keeping a single RUN layer -# NOTE: .npmrc (which has ignore-scripts=true and min-release-age=3d) is temporarily -# renamed during npm install/ci. This is safe because npm ci installs from +# NOTE: .npmrc files (which may set ignore-scripts=true and min-release-age=3d) +# are temporarily renamed during npm install/ci so they don't block lifecycle +# scripts needed by the build. This is safe because npm ci installs from # package-lock.json with pinned versions + integrity hashes. RUN mkdir -p /var/lib/litellm/ui && \ - mv /app/.npmrc /app/.npmrc.bak && \ + ([ -f /app/.npmrc ] && mv /app/.npmrc /app/.npmrc.bak || true) && \ npm install -g npm@11.12.1 && \ npm install -g node-gyp@12.2.0 && \ - ln -sf /usr/local/lib/node_modules/node-gyp /usr/lib/node_modules/npm/node_modules/node-gyp && \ + ln -sf "$(npm root -g)/node-gyp" "$(npm root -g)/npm/node_modules/node-gyp" && \ npm cache clean --force && \ cd /app/ui/litellm-dashboard && \ if [ -f "/app/enterprise/enterprise_ui/enterprise_colors.json" ]; then \ cp /app/enterprise/enterprise_ui/enterprise_colors.json ./ui_colors.json; \ fi && \ - mv .npmrc .npmrc.bak && \ + ([ -f .npmrc ] && mv .npmrc .npmrc.bak || true) && \ npm ci && \ - mv .npmrc.bak .npmrc && mv /app/.npmrc.bak /app/.npmrc && \ + ([ -f .npmrc.bak ] && mv .npmrc.bak .npmrc || true) && \ + ([ -f /app/.npmrc.bak ] && mv /app/.npmrc.bak /app/.npmrc || true) && \ npm run build && \ cp -r /app/ui/litellm-dashboard/out/* /var/lib/litellm/ui/ && \ mkdir -p /var/lib/litellm/assets && \ diff --git a/docker/README.md b/docker/README.md index 7027a30fdd7..26d8c9a37b0 100644 --- a/docker/README.md +++ b/docker/README.md @@ -13,19 +13,19 @@ To build and run the application, you will use the `docker-compose.yml` file loc ### 1. Set the Master Key -The application requires a `MASTER_KEY` for signing and validating tokens. You must set this key as an environment variable before running the application. +The application requires a `LITELLM_MASTER_KEY` for signing and validating tokens. You must set this key as an environment variable before running the application. Create a `.env` file in the root of the project and add the following line: ``` -MASTER_KEY=your-secret-key +LITELLM_MASTER_KEY=your-secret-key ``` Replace `your-secret-key` with a strong, randomly generated secret. ### 2. Build and Run the Containers -Once you have set the `MASTER_KEY`, you can build and run the containers using the following command: +Once you have set the `LITELLM_MASTER_KEY`, you can build and run the containers using the following command: ```bash docker compose up -d --build @@ -89,4 +89,4 @@ This command should succeed (showing engine versions) even with `--network none` ## Troubleshooting - **`build_admin_ui.sh: not found`**: This error can occur if the Docker build context is not set correctly. Ensure that you are running the `docker-compose` command from the root of the project. -- **`Master key is not initialized`**: This error means the `MASTER_key` environment variable is not set. Make sure you have created a `.env` file in the project root with the `MASTER_KEY` defined. +- **`Master key is not initialized`**: This error means the `LITELLM_MASTER_KEY` environment variable is not set. Make sure you have created a `.env` file in the project root with the `LITELLM_MASTER_KEY` defined. diff --git a/docs/my-website/blog/april_townhall_announcement/index.md b/docs/my-website/blog/april_townhall_announcement/index.md index 466d9e845f0..1f842536f89 100644 --- a/docs/my-website/blog/april_townhall_announcement/index.md +++ b/docs/my-website/blog/april_townhall_announcement/index.md @@ -4,6 +4,7 @@ title: "April Townhall: Security + Product Roadmap" date: 2026-04-02T07:30:00 authors: - krrish + - ishaan-alt description: "Join the LiteLLM April townhall on Friday, 10 April at 7:30 AM to learn about LiteLLM's security and product roadmap." tags: [announcement, townhall] hide_table_of_contents: true diff --git a/docs/my-website/blog/april_townhall_updates/index.md b/docs/my-website/blog/april_townhall_updates/index.md new file mode 100644 index 00000000000..c726d1b7f8e --- /dev/null +++ b/docs/my-website/blog/april_townhall_updates/index.md @@ -0,0 +1,162 @@ +--- +slug: april-townhall-updates +title: "April Townhall Updates: CI/CD v2, Stability, and Product Roadmap" +date: 2026-04-10T12:00:00 +authors: + - krrish + - ishaan-alt +description: "A recap of the April LiteLLM town hall covering CI/CD v2, product stability work, and the near-term roadmap." +tags: [townhall, security, reliability, product] +hide_table_of_contents: false +--- + +import Image from '@theme/IdealImage'; + +Thank you to everyone who joined our April town hall. + +We used the session to share our CI/CD v2 improvements, product stability work, and what we are prioritizing next across reliability and product roadmap. + +{/* truncate */} + +## CI/CD v2 improvements + +Our CI/CD v2 work is centered around four goals: + +1. **Limit** what each package can access +2. **Reduce** the number of sensitive environment variables +3. **Avoid** compromised packages +4. **Reduce the risk of** release tampering + +#### New architecture: isolated environments + +We have begun moving to isolated environments for distinct CI/CD stages to reduce the chance that a single compromised step can inherit broad access across the entire pipeline. + + + +#### Current rollout status + +These changes are deployed in our current release workflow. [See here](https://github.com/BerriAI/litellm/tags) + +#### Independently verify releases + +A key part of CI/CD v2 is supporting independent verification of release artifacts using our published verification process, while reducing reliance on any single credential or release path. + +[**Learn more about how to verify releases**](https://docs.litellm.ai/docs/proxy/docker_image_security) + + + +## Stability improvements + +### SDLC improvements + +This month, we're focusing on process stability improvements around: +- Improving main-branch stability +- Mapping UI QA to built Docker images for 1:1 environment parity +- Consistent release tags across PyPI and Docker +- Fixing release notes publication + +#### Improving main-branch stability + +We're introducing a staging-gated flow: + + + +- Only an internal staging branch can push to `main`. +- PRs to that staging branch must pass CircleCI LLM API testing. +- Collision handling happens on staging, which is designed to reduce unstable changes reaching `main`. + +#### UI QA in Docker environment + +Moving forward, all UI QA will be performed in the built Docker image that users run. + +Previously, some UI QA paths were run in local environments that did not fully replicate Docker runtime conditions. + +That contributed to release-specific issues, including MCP registration problems in `v1.82.3`. + +#### Consistent release tags + +Today we publish releases for multiple scenarios: +- Dev (Built of a PR for a customer-specific scenario) +- Nightly (Passes all CI/CD checks) +- Release Candidate (Passes all CI/CD checks + manual UI QA) +- Stable (intended to pass all CI/CD checks + manual UI QA + 7 days of production testing) + +We are targeting a consistent naming convention across PyPI and Docker by the end of April. + +#### Release notes + +CI/CD v2 changes moved release notes to a manual path. This is a temporary solution while we investigate a better automated workflow. We are targeting a more consistent process by the end of April. + +### Product stability improvements + +#### Stable Prisma migrations + +Today, we have observed several migration failure classes: +- Migration not applied +- Migration marked applied but incomplete +- Migration not applied due to non-root image issues + +We're prioritizing this work this month and have assigned an engineering owner to the effort. Our target is to resolve these error classes by the end of April. + +#### UI type safety + +Another area of focus is improving the stability of the UI. Today, one cause of errors is that the UI maintains its own assumptions about backend API types. This can lead to issues when backend responses differ from UI assumptions. + +We aim to move to having the UI and Backend be in sync with each other, and are exploring OpenAPI-driven mapping to achieve this. + +## Product roadmap + +### Our Assumptions + +Over the next few years, we expect: +- Companies will give employees more AI tools. +- More AI agents will move into production workflows across HR, finance, support, and operations. + +### Our Inferences +#### Near-term + +- AI spend will increase. +- Uptime and latency will become even more important. +- More AI resources (skills, CLIs, and related assets) will require governance. +- Agent and MCP usage patterns will require deeper controls. +- Broader developer adoption will increase the need for simpler, more discoverable tooling. + +#### Long-term + +- We expect many organizations to treat agent auditability (how decisions were made across LLM + MCP + sub-agent inputs/outputs) as a compliance expectation. +- Permission management will get more complex as user-agent interaction chains deepen. + +Roadmap timelines in this post are targets and may evolve based on validation and user feedback. + +## April investments + +### Reliability + +- Increase uptime for 10k+ RPS scenarios. +- Investigate latency overhead for long-running Claude Code requests. + +### Feature reliability + +- Polish MCP authentication. +- Better understand how teams are using agents through LiteLLM. + +### Governance + +- Launch Skills as a first-class citizen in LiteLLM. + +## Q&A + +Thank you again for all the questions and direct feedback. We will keep sharing concrete progress updates as these efforts ship. + +## Hiring + +We are actively hiring across several roles, please apply [here](https://jobs.ashbyhq.com/litellm) if you're interested! \ No newline at end of file diff --git a/docs/my-website/blog/authors.yml b/docs/my-website/blog/authors.yml index 1b1ef4d34c4..c8a1bab7ed3 100644 --- a/docs/my-website/blog/authors.yml +++ b/docs/my-website/blog/authors.yml @@ -24,7 +24,7 @@ ishaan: # Alias for typo in name ishaan-alt: - name: Ishaan Jaff + name: Ishaan Jaffer title: CTO, LiteLLM url: https://www.linkedin.com/in/reffajnaahsi/ image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg diff --git a/docs/my-website/blog/ci_cd_v2_improvements/index.md b/docs/my-website/blog/ci_cd_v2_improvements/index.md index fb9a6609c95..85581143969 100644 --- a/docs/my-website/blog/ci_cd_v2_improvements/index.md +++ b/docs/my-website/blog/ci_cd_v2_improvements/index.md @@ -31,7 +31,21 @@ Building on the roadmap from our [security incident](https://docs.litellm.ai/blo ## Verify Docker image signatures -Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). To verify the integrity of an image before deploying: +Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0). + +**Verify using the pinned commit hash (recommended):** + +A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm: +``` + +**Verify using a release tag (convenience):** + +Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules: ```bash cosign verify \ diff --git a/docs/my-website/blog/security_townhall_updates/index.md b/docs/my-website/blog/security_townhall_updates/index.md index 633e97df3e7..39db096c533 100644 --- a/docs/my-website/blog/security_townhall_updates/index.md +++ b/docs/my-website/blog/security_townhall_updates/index.md @@ -147,7 +147,21 @@ We believe that [Cosign](https://github.com/sigstore/cosign) is a good fit for t #### How to verify a Docker image with Cosign -Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). To verify the integrity of an image before deploying: +Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key that was introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0). + +**Verify using the pinned commit hash (recommended):** + +A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm: +``` + +**Verify using a release tag (convenience):** + +Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules: ```bash cosign verify \ diff --git a/docs/my-website/blog/security_update_march_2026/index.md b/docs/my-website/blog/security_update_march_2026/index.md index 628e26f0c65..6e7b77d1e40 100644 --- a/docs/my-website/blog/security_update_march_2026/index.md +++ b/docs/my-website/blog/security_update_march_2026/index.md @@ -710,7 +710,21 @@ The LiteLLM AI Gateway team has already taken the following steps: ## Verify Docker image signatures -Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). To verify the integrity of an image before deploying: +Starting from `v1.83.0-nightly`, all LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0). + +**Verify using the pinned commit hash (recommended):** + +A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm: +``` + +**Verify using a release tag (convenience):** + +Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules: ```bash cosign verify \ diff --git a/docs/my-website/docs/observability/ramp_integration.md b/docs/my-website/docs/observability/ramp_integration.md new file mode 100644 index 00000000000..c147f226782 --- /dev/null +++ b/docs/my-website/docs/observability/ramp_integration.md @@ -0,0 +1,131 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +# Ramp + +Send AI usage and cost data to Ramp for automated spend tracking. + +[Ramp](https://ramp.com/) is a finance automation platform that helps businesses manage expenses, corporate cards, and vendor payments. With the Ramp callback integration, your LiteLLM AI usage — including token counts, model costs, and request metadata — is automatically sent to Ramp for real-time spend visibility. + +:::info +We want to learn how we can make the callbacks better! Meet the LiteLLM [founders](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version) or +join our [discord](https://discord.gg/wuPM9dRgDw) +::: + +## Pre-Requisites + +1. Log in to [Ramp](https://app.ramp.com/) and search for **"LiteLLM"** using the search bar. Click the **LiteLLM** integration result. + +> **Note:** Only business owners and admins can access and configure integrations. + +2. On the LiteLLM integration page, click the **Connect** button in the top right. + +3. In the Connect LiteLLM drawer, click **Generate API Key** to create an API key. + +> **Important:** Copy the API key immediately — it won't be shown again. If you lose it, you can revoke the existing key and generate a new one from the integration settings. + +```shell +pip install litellm +``` + +## Quick Start + +Set your `RAMP_API_KEY` and add `"ramp"` to your callbacks to start logging LLM usage to Ramp. + + + + +```python +litellm.callbacks = ["ramp"] +``` + +```python +import litellm +import os + +# Ramp API Key +os.environ["RAMP_API_KEY"] = "your-ramp-api-key" + +# LLM API Keys +os.environ['OPENAI_API_KEY'] = "" + +# Set ramp as a callback +litellm.callbacks = ["ramp"] + +# OpenAI call +response = litellm.completion( + model="gpt-3.5-turbo", + messages=[ + {"role": "user", "content": "Hi - I'm testing Ramp integration"} + ] +) +``` + + + + +1. Setup config.yaml + +```yaml +model_list: + - model_name: gpt-3.5-turbo + litellm_params: + model: openai/gpt-3.5-turbo + api_key: os.environ/OPENAI_API_KEY + +litellm_settings: + callbacks: ["ramp"] + +environment_variables: + RAMP_API_KEY: os.environ/RAMP_API_KEY +``` + +2. Start LiteLLM Proxy + +```bash +litellm --config /path/to/config.yaml +``` + +3. Test it! + +```bash +curl -L -X POST 'http://0.0.0.0:4000/chat/completions' \ +-H 'Content-Type: application/json' \ +-H 'Authorization: Bearer sk-1234' \ +-d '{ + "model": "gpt-3.5-turbo", + "messages": [ + { + "role": "user", + "content": "Hey, how are you?" + } + ] +}' +``` + + + + +## What Data is Logged? + +LiteLLM sends the [Standard Logging Payload](https://docs.litellm.ai/docs/proxy/logging_spec) to Ramp on successful LLM API calls, which includes: + +- **Request details**: Model, messages, parameters +- **Response details**: Completion text, token usage, latency +- **Metadata**: User ID, custom metadata, timestamps +- **Cost tracking**: Response cost based on token usage + +## Authentication + +Set the `RAMP_API_KEY` environment variable with your Ramp API key. + +| Environment Variable | Description | +|---|---| +| `RAMP_API_KEY` | Your Ramp API key (required) | + +## Support & Talk to Founders + +- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version) +- [Community Discord 💭](https://discord.gg/wuPM9dRgDw) +- Our numbers 📞 +1 (770) 8783-106 / ‭+1 (412) 618-6238‬ +- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai diff --git a/docs/my-website/docs/providers/gemini.md b/docs/my-website/docs/providers/gemini.md index 87ab5ad40f4..a60dc3323d1 100644 --- a/docs/my-website/docs/providers/gemini.md +++ b/docs/my-website/docs/providers/gemini.md @@ -65,14 +65,13 @@ response = completion( - modalities - reasoning_content - audio (for TTS models only) +- service_tier **Anthropic Params** - thinking (used to set max budget tokens across anthropic/gemini models) [**See Updated List**](https://github.com/BerriAI/litellm/blob/main/litellm/llms/gemini/chat/transformation.py#L70) - - ## Usage - Thinking / `reasoning_content` LiteLLM translates OpenAI's `reasoning_effort` to Gemini's `thinking` parameter. [Code](https://github.com/BerriAI/litellm/blob/620664921902d7a9bfb29897a7b27c1a7ef4ddfb/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py#L362) @@ -298,6 +297,19 @@ curl http://0.0.0.0:4000/v1/chat/completions \ +## Usage - `service_tier` + +LiteLLM propagates OpenAI's `service_tier` parameter to Gemini, and also extracts it from the response headers (`x-gemini-service-tier`) into `model_response.service_tier`. + +| OpenAI `service_tier` | Gemini `service_tier` | Notes | +| --------------------- | --------------------- | ----- | +| `"auto"` | `"priority"` | LiteLLM maps OpenAI's `"auto"` to Gemini's `"priority"` tier, as `priority` will fall back on Gemini. | +| `"flex"` | `"flex"` | Direct mapping. | +| `"priority"` | `"priority"` | Direct mapping. | +| `"default"` | `"standard"` | LiteLLM maps `"default"` to `"standard"`. | +| Any other value | Passed as-is (lowercased) | Values are case-insensitive and normalized to lowercase. | + +On the response, LiteLLM maps `"standard"` back to `"default"` for the Gemini API. ## Text-to-Speech (TTS) Audio Output diff --git a/docs/my-website/docs/providers/sap.md b/docs/my-website/docs/providers/sap.md index 16f30a2e99c..3877cb6ef19 100644 --- a/docs/my-website/docs/providers/sap.md +++ b/docs/my-website/docs/providers/sap.md @@ -55,24 +55,33 @@ pip install litellm ``` ### Step 2: Set Your Credentials + + Choose **one** of these authentication methods: + +> **Breaking change**: credential resolution is "first-source-wins" +> +> Credential resolution no longer merges individual fields across sources. +> +> Resolution order is: +`kwargs` → `service key` → `env (AICORE_*)` → `config` → `VCAP service` +> +> **Important behavior:** once LiteLLM finds *any* credential value in a source, it takes **all** credentials from that source exclusively (except `resource_group`, which may still be resolved separately). -Choose **one** of these authentication methods: + + - - +The simplest approach - paste your entire service key as a single environment variable. -The simplest approach - paste your entire service key as a single environment variable. The service key must be wrapped in a `credentials` object: +> **Note:** the service key no more needs to be wrapped in a "credentials" key. ```bash export AICORE_SERVICE_KEY='{ - "credentials": { "clientid": "your-client-id", "clientsecret": "your-client-secret", "url": "https://.authentication.sap.hana.ondemand.com", "serviceurls": { "AI_API_URL": "https://api.ai..aws.ml.hana.ondemand.com" } - } }' export AICORE_RESOURCE_GROUP="default" ``` @@ -220,6 +229,17 @@ model="sap/gemini-2.5-pro" # Incorrect - missing prefix model="gpt-4o" # ❌ Won't work ``` +3. **Environment variables** - Set the following list of credentials in .env file +
+AICORE_AUTH_URL = "https://* * * .authentication.sap.hana.ondemand.com/oauth/token",
+AICORE_CLIENT_ID  = " *** ",
+AICORE_CLIENT_SECRET = " *** ",
+AICORE_RESOURCE_GROUP = " *** ",
+AICORE_BASE_URL = "https://api.ai.***.cfapps.sap.hana.ondemand.com/v2"
+
+ +Other credential configuration options are also available. For more information, see the [SAP AI Core Documentation](https://help.sap.com/doc/generative-ai-hub-sdk/CLOUD/en-US/_reference/README_sphynx.html#configuration). +## Usage - LiteLLM Python SDK ### Proxy Usage @@ -506,6 +526,241 @@ response = embedding( print(response.data[0]["embedding"]) # Vector representation ``` +### Additional Modules +The SAP Gen AI Hub includes additional modules for advanced use cases: +- [Grounding](https://help.sap.com/docs/sap-ai-core/generative-ai/grounding-035c455a5a424697b60f4a24b6d791fe?locale=en-US) +- [Translation](https://help.sap.com/docs/sap-ai-core/generative-ai/translation?locale=en-US) +- [Data Masking](https://help.sap.com/docs/sap-ai-core/generative-ai/data-masking-d9a54d9ca54b40beacbd24e1663ec3b4?locale=en-US) +- [Content Filtering](https://help.sap.com/docs/sap-ai-core/generative-ai/content-filtering?locale=en-US) + +#### Grounding +Grounding is a service designed to handle data-related tasks, such as grounding and retrieval, using vector databases. It provides specialized data retrieval through these databases, grounding the retrieval process with your own external and context-relevant data. Grounding combines generative AI capabilities with the ability to use real-time, precise data to improve decision-making and business operations for specific AI-driven business solutions. +##### Prerequisites +To use the Grounding module in the orchestration pipeline, you need to prepare the knowledge base in advance. + +Generative AI hub offers multiple options for users to provide data (prepare a knowledge base): +- For Option 1: Upload the documents to a supported data repository and run the data pipeline to vectorize the documents. +- For Option 2: Provide the chunks of document via Vector API directly. + +To use grounding, choose from one of the following options. + +Usage example: +```python showLineNumbers title="Grounding Example" +from litellm import completion + +grounding_config = { + 'type': 'document_grounding_service', + 'config': { + 'filters': [ + {'id': 's3-docs', + 'data_repository_type': 'vector', + 'search_config': {'max_chunk_count': 2}, + 'data_repositories': ['012345-6789-0123-4567-890123456789'] + } + ], + 'placeholders': {'input': ['user_query'], 'output': 'grounding_response'}, + 'metadata_params': ['source', 'webUrl', 'title', 'mimeType', 'fileSuffix'] + } +} + +response = completion(model="sap/gpt-4o", + messages=[ + {"content":"""Facility Solutions Company provides services to luxury residential complexes, + apartments, individual homes, and commercial properties such as office buildings, retail + spaces, industrial facilities, and educational institutions. Customers are encouraged to + reach out with maintenance requests, service deficiencies, follow-ups, or any issues they + need by email.""", "role": "system"}, + {"content":"""You are a helpful assistant for any queries for answering questions. + Answer the request by providing relevant answers that fit to the request. + Request: {{ ?user_query }} + Context:{{ ?grounding_response }}""", "role": "user"} + ], + placeholder_values={"user_query": "Is there a complaint?"}, + grounding=grounding_config + ) +print(response.choices[0].message.content) +``` +For more information about all available grounding configurations, see the [documentation](https://help.sap.com/docs/sap-ai-core/generative-ai/using-grounding-module-e1c4dd100dfb42ab890e1d95f3516187?locale=en-US). + +#### Translation +The translation module allows you to translate LLM text prompts into a chosen target language. + +```python showLineNumbers title="Translation Example" +from litellm import completion + +translation_config = { + 'input': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'en-US', + 'target_language': 'de-DE'} + }, + 'output': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'de-DE', + 'target_language': 'fr-FR'} + } +} + +response = completion(model="sap/gpt-4o", + messages=[{"role": "user", "content": "Hello world!"}], + translation=translation_config) + +print(response.choices[0].message.content) +``` +For more information about all available translation configurations, see the [documentation](https://help.sap.com/docs/sap-ai-core/generative-ai/translation?locale=en-US) + +#### Data Masking +The data masking module serves to anonymize or pseudonymize personally identifiable information from the input for selected entities. + +```python showLineNumbers title="Data Masking Example" +from litellm import completion, embedding +masking_config = { + 'providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'}, + {'type': 'profile-email'}, + {'type': 'profile-phone'}, + {'type': 'profile-person'}, + {'type': 'profile-location'} + ] + } + ] + } + +mock_cv = "some text with personal information" + +response = completion(model="sap/gpt-4o", + messages=[{"role": "user", "content": "Give a one sentence summary of the CV. CV: {{?cv}}?"}], + placeholder_values={"cv": mock_cv}, + masking=masking_config) +print(response.choices[0].message.content) + +# Data masking module also available for embedding +response = embedding(model="sap/text-embedding-3-small", + input=mock_cv, + masking=masking_config) +print(response.data[0]) +``` +For more information about all available data masking configurations, see the [documentation](https://help.sap.com/docs/sap-ai-core/generative-ai/enhancing-model-consumption-with-data-masking-66ad6f469afc4c2cbaa91a27a33f7b21?locale=en-US) + + + + + +#### Content Filtering +The content filtering module allows you to filter input and output based on content safety criteria. + +The module supports two services: +* Azure Content Safety +* Llama Guard 3 + +```python showLineNumbers title="Content Filtering Example" +from litellm import completion + +filtering_config_azure = { + 'input': + { + 'filters': + [ + {'type': 'azure_content_safety', + 'config': + {'hate': 0, + 'sexual': 0, + 'violence': 0, + 'self_harm': 0 + } + } + ] + }, + 'output': + { + 'filters': + [ + {'type': 'azure_content_safety', + 'config': {'hate': 0, + 'sexual': 0, + 'violence': 0, + 'self_harm': 0 + } + } + ] + } +} + +response = completion(model="sap/gpt-4o", + messages=[{"role": "user", "content": "Hello world!"}], + filtering=filtering_config_azure) +print(response.choices[0].message.content) +# The model responds normally because the content does not violate any safety rules. + +try: + response = completion(model="sap/gpt-4o", + messages=[{"role": "user", "content": "I hate you"}], + filtering=filtering_config_azure) +except Exception as e: + print(e) + # The service raises an error: + # "Input Filter: Content filtered due to safety violations. Please modify the prompt and try again." +``` +For more information about all available content filtering configurations, see the [documentation](https://help.sap.com/docs/sap-ai-core/generative-ai/content-filtering?locale=en-US) + +#### List of modules configuration for fallback +SAP GEN AI Hub supports a fallback mechanism for handling errors. This mechanism allows you to specify a list of fallback modules to use in case of errors. The fallback modules should contain all parameters that are required for configuring the request. + +Required parameters: +- `model` +- `messages` + +Optional parameters: +- `filtering` +- `grounding` +- `translation` +- `masking` +- `tools` + +- and any of model's specific parameters. + + +```python showLineNumbers title="Fallback Example" +from litellm import completion + +translation_config = { + 'input': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'en-US', + 'target_language': 'de-DE'} + }, + 'output': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'de-DE', + 'target_language': 'fr-FR'} + } +} + +response = completion(model="sap/gpt-4o", + messages=[{"role": "user", "content": "Hello world!"}], + translation=translation_config, + fallback_sap_modules=[{ + "model":"sap/gemini-2.5-flash", + "messages":[{"role": "user", "content": "Hello world!"}], + "translation":translation_config + }]) + +# In case of error with the first configuration (model gpt-4o), the fallback module is used. + +print(response.choices[0].message.content) + +``` + + ## Reference ### Supported Parameters diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md index 528a5c10903..c64d475fdaa 100644 --- a/docs/my-website/docs/proxy/config_settings.md +++ b/docs/my-website/docs/proxy/config_settings.md @@ -238,7 +238,7 @@ router_settings: | public_routes | List[str] | (Enterprise Feature) Control list of public routes | | alert_types | List[str] | Control list of alert types to send to slack (Doc on alert types)[./alerting.md] | | enforced_params | List[str] | (Enterprise Feature) List of params that must be included in all requests to the proxy | -| enable_oauth2_auth | boolean | (Enterprise Feature) If true, enables oauth2.0 authentication | +| enable_oauth2_auth | boolean | (Enterprise Feature) If true, enables oauth2.0 authentication on LLM + info routes | | use_x_forwarded_for | str | If true, uses the X-Forwarded-For header to get the client IP address | | service_account_settings | List[Dict[str, Any]] | Set `service_account_settings` if you want to create settings that only apply to service account keys (Doc on service accounts)[./service_accounts.md] | | image_generation_model | str | The default model to use for image generation - ignores model set in request | @@ -597,10 +597,13 @@ router_settings: | LITELLM_MCP_TOOL_LISTING_TIMEOUT | Timeout in seconds for listing tools from an MCP server. Default is 30 | LITELLM_MCP_METADATA_TIMEOUT | HTTP client timeout in seconds for OAuth metadata fetching. Default is 10 | LITELLM_MCP_HEALTH_CHECK_TIMEOUT | Health check timeout in seconds for MCP servers. Default is 10 +| LITELLM_MCP_STDIO_EXTRA_COMMANDS | Comma-separated extra command basenames allowed for MCP stdio transport beyond the built-in allowlist. Example: `my-mcp-bin`. Empty by default | MCP_OAUTH2_TOKEN_CACHE_DEFAULT_TTL | Default TTL in seconds for MCP OAuth2 token cache. Default is 3600 | MCP_OAUTH2_TOKEN_CACHE_MAX_SIZE | Maximum number of entries in MCP OAuth2 token cache. Default is 200 | MCP_OAUTH2_TOKEN_CACHE_MIN_TTL | Minimum TTL in seconds for MCP OAuth2 token cache. Default is 10 | MCP_OAUTH2_TOKEN_EXPIRY_BUFFER_SECONDS | Seconds to subtract from token expiry when computing cache TTL. Default is 60 +| MCP_PER_USER_TOKEN_DEFAULT_TTL | Default TTL in seconds for per-user MCP OAuth tokens stored in Redis. Default is 43200 (12 hours) +| MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS | Seconds to subtract from per-user MCP OAuth token expiry when computing Redis TTL. Default is 60 | DEFAULT_MOCK_RESPONSE_COMPLETION_TOKEN_COUNT | Default token count for mock response completions. Default is 20 | DEFAULT_MOCK_RESPONSE_PROMPT_TOKEN_COUNT | Default token count for mock response prompts. Default is 10 | DEFAULT_MODEL_CREATED_AT_TIME | Default creation timestamp for models. Default is 1677610602 @@ -1032,6 +1035,7 @@ router_settings: | SENDGRID_SENDER_EMAIL | Email address used as the sender in SendGrid email transactions | SPEND_LOGS_URL | URL for retrieving spend logs | SPEND_LOG_CLEANUP_BATCH_SIZE | Number of logs deleted per batch during cleanup. Default is 1000 +| STALE_OBJECT_CLEANUP_BATCH_SIZE | Max number of stale managed objects updated per cleanup cycle. Default is 1000 | SSL_CERTIFICATE | Path to the SSL certificate file | SSL_ECDH_CURVE | ECDH curve for SSL/TLS key exchange (e.g., 'X25519' to disable PQC). | SSL_SECURITY_LEVEL | [BETA] Security level for SSL/TLS connections. E.g. `DEFAULT@SECLEVEL=1` diff --git a/docs/my-website/docs/proxy/credential_routing.md b/docs/my-website/docs/proxy/credential_routing.md new file mode 100644 index 00000000000..2af57c6b496 --- /dev/null +++ b/docs/my-website/docs/proxy/credential_routing.md @@ -0,0 +1,274 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +# Per-Team/Project Credential Routing + +Route the same model to different LLM provider endpoints (e.g. different Azure instances) based on which team or project makes the request. + +## Overview + +In multi-tenant deployments, different teams often need the same model name (e.g., `gpt-4`) to hit different provider endpoints — for example, separate Azure OpenAI instances per business unit for cost isolation, data residency, or rate limit separation. + +**Credential routing** lets you configure this in team/project metadata using the existing [credentials table](./ui_credentials.md), without duplicating model definitions or creating separate model groups per team. + +``` +Hotel Team → gpt-4 → https://hotel-eastus.openai.azure.com/ +Flight Team → gpt-4 → https://flight-centralus.openai.azure.com/ +``` + +### Precedence Chain + +When a request comes in, the system walks this precedence chain (first match wins): + +1. **Clientside credentials** — `api_base`/`api_key` passed in the request body ([docs](./clientside_auth.md)) +2. **Project model-specific** — override for this exact model in the project's `model_config` +3. **Project default** — `defaultconfig` in the project's `model_config` +4. **Team model-specific** — override for this exact model in the team's `model_config` +5. **Team default** — `defaultconfig` in the team's `model_config` +6. **Deployment default** — the model's `litellm_params` as configured in `config.yaml` + +## Quick Start + +### Step 1: Create Credentials + +Store your Azure endpoint credentials in the credentials table. You can do this via the [UI](./ui_credentials.md) or API: + +```bash showLineNumbers +# Create credential for Hotel team's Azure endpoint +curl -X POST 'http://0.0.0.0:4000/credentials' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "credential_name": "hotel-azure-eastus", + "credential_values": { + "api_base": "https://hotel-eastus.openai.azure.com/", + "api_key": "sk-azure-hotel-key-xxx" + } +}' +``` + +```bash showLineNumbers +# Create credential for Flight team's Azure endpoint +curl -X POST 'http://0.0.0.0:4000/credentials' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "credential_name": "flight-azure-centralus", + "credential_values": { + "api_base": "https://flight-centralus.openai.azure.com/", + "api_key": "sk-azure-flight-key-xxx" + } +}' +``` + +### Step 2: Set `model_config` on Teams + +Add a `model_config` key to the team's metadata referencing the credential by name: + +```bash showLineNumbers +# Hotel team — default Azure endpoint for all models +curl -X PATCH 'http://0.0.0.0:4000/team/update' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "team_id": "hotel-team-id", + "metadata": { + "model_config": { + "defaultconfig": { + "azure": { + "litellm_credentials": "hotel-azure-eastus" + } + } + } + } +}' +``` + +```bash showLineNumbers +# Flight team — default Azure endpoint for all models +curl -X PATCH 'http://0.0.0.0:4000/team/update' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "team_id": "flight-team-id", + "metadata": { + "model_config": { + "defaultconfig": { + "azure": { + "litellm_credentials": "flight-azure-centralus" + } + } + } + } +}' +``` + +### Step 3: Make Requests + +Requests are automatically routed to the correct Azure endpoint based on the API key's team: + +```bash showLineNumbers +# Request using Hotel team's API key → routes to hotel-eastus.openai.azure.com +curl http://localhost:4000/v1/chat/completions \ +-H 'Content-Type: application/json' \ +-H 'Authorization: Bearer sk-hotel-team-key' \ +-d '{"model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}]}' + +# Request using Flight team's API key → routes to flight-centralus.openai.azure.com +curl http://localhost:4000/v1/chat/completions \ +-H 'Content-Type: application/json' \ +-H 'Authorization: Bearer sk-flight-team-key' \ +-d '{"model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}]}' +``` + +## Per-Model Overrides + +You can set different credentials for specific models while keeping a default for everything else: + +```bash showLineNumbers +curl -X PATCH 'http://0.0.0.0:4000/team/update' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "team_id": "hotel-team-id", + "metadata": { + "model_config": { + "defaultconfig": { + "azure": { + "litellm_credentials": "hotel-azure-eastus" + } + }, + "gpt-4": { + "azure": { + "litellm_credentials": "hotel-azure-westus" + } + } + } + } +}' +``` + +With this config: +- `gpt-4` requests → `hotel-azure-westus` credential (model-specific) +- All other models → `hotel-azure-eastus` credential (default) + +## Project-Level Overrides + +Projects inherit their team's `model_config` but can override at the project level. Project overrides take precedence over team overrides. + +```bash showLineNumbers +# Project overrides the team default for all models +curl -X PATCH 'http://0.0.0.0:4000/project/update' \ +-H 'Authorization: Bearer sk-1234' \ +-H 'Content-Type: application/json' \ +-d '{ + "project_id": "hotel-rec-app-id", + "metadata": { + "model_config": { + "defaultconfig": { + "azure": { + "litellm_credentials": "hotel-rec-azure" + } + }, + "gpt-4-vision": { + "azure": { + "litellm_credentials": "hotel-rec-vision" + } + } + } + } +}' +``` + +### Full Example: Hotel Team with Two Projects + +**Setup:** +- **Hotel Team**: default `hotel-azure-eastus`, GPT-4 override to `hotel-azure-westus` +- **Hotel Rec App** (project): default `hotel-rec-azure`, GPT-4-Vision override to `hotel-rec-vision` +- **Hotel Review App** (project): no overrides — inherits team config + +**Resolution:** + +| Request | Resolved Credential | Why | +|---|---|---| +| Hotel Rec App → `gpt-4` | `hotel-rec-azure` | Project default (no project model-specific match for gpt-4) | +| Hotel Rec App → `gpt-4-vision` | `hotel-rec-vision` | Project model-specific | +| Hotel Review App → `gpt-3.5` | `hotel-azure-eastus` | Team default (no project config) | +| Hotel Review App → `gpt-4` | `hotel-azure-westus` | Team model-specific | + +## `model_config` Schema + +The `model_config` key is a JSON object in team/project `metadata`: + +```json +{ + "model_config": { + "defaultconfig": { + "": { + "litellm_credentials": "" + } + }, + "": { + "": { + "litellm_credentials": "" + } + } + } +} +``` + +| Field | Description | +|---|---| +| `defaultconfig` | Fallback credential for any model not explicitly listed | +| `` | Model-specific override — must match the LiteLLM model group name | +| `` | Provider key (e.g. `azure`, `openai`, `bedrock`). When the model name includes a provider prefix (e.g. `azure/gpt-4`), the system prefers the matching provider key | +| `litellm_credentials` | Name of a credential in the [credentials table](./ui_credentials.md) | + +### Credential Values + +The referenced credential can contain any combination of: + +| Key | Description | +|---|---| +| `api_base` | Provider endpoint URL | +| `api_key` | API key for the provider | +| `api_version` | API version (e.g. for Azure) | + +Only keys present in the credential are applied. Keys already in the request (e.g. clientside `api_version`) are never overwritten. + +## Enabling the Feature + +This feature is **disabled by default** and must be explicitly enabled. To enable it: + + + + + +```yaml +litellm_settings: + enable_model_config_credential_overrides: true +``` + + + + + +```bash +export LITELLM_ENABLE_MODEL_CONFIG_CREDENTIAL_OVERRIDES=true +``` + + + + + +:::info +The feature flag must be enabled before `model_config` entries in team/project metadata take effect. Without it, credential routing is completely inert — no metadata is read, no credentials are resolved. +::: + +## Related Documentation + +- [Adding LLM Credentials](./ui_credentials.md) — Create and manage reusable credentials +- [Project Management](./project_management.md) — Project hierarchy and API +- [Team Budgets](./team_budgets.md) — Team-level budget management +- [Clientside LLM Credentials](./clientside_auth.md) — Passing credentials in the request body +- [Credential Usage Tracking](./credential_usage_tracking.md) — Track spend by credential diff --git a/docs/my-website/docs/proxy/deploy.md b/docs/my-website/docs/proxy/deploy.md index d4f02afbb13..f7833fc02c7 100644 --- a/docs/my-website/docs/proxy/deploy.md +++ b/docs/my-website/docs/proxy/deploy.md @@ -67,7 +67,21 @@ docker compose up ### Verify Docker image signatures -All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). You can verify the integrity of an image before deploying: +All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0). + +**Verify using the pinned commit hash (recommended):** + +A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm: +``` + +**Verify using a release tag (convenience):** + +Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules: ```bash cosign verify \ @@ -85,7 +99,7 @@ The following checks were performed on each of these signatures: - The signatures were verified against the specified public key ``` -Learn more about LiteLLM's release signing in the [CI/CD v2 announcement](https://docs.litellm.ai/blog/ci-cd-v2-improvements#verify-docker-image-signatures). +Learn more about LiteLLM's release signing in the [CI/CD v2 announcement](https://docs.litellm.ai/blog/ci-cd-v2-improvements#verify-docker-image-signatures). For a complete guide covering all image variants, CI/CD enforcement, and deployment best practices, see the [Docker Image Security Guide](./docker_image_security.md). ### Docker Run diff --git a/docs/my-website/docs/proxy/docker_image_security.md b/docs/my-website/docs/proxy/docker_image_security.md new file mode 100644 index 00000000000..41ace2174b3 --- /dev/null +++ b/docs/my-website/docs/proxy/docker_image_security.md @@ -0,0 +1,189 @@ +# Docker Image Security Guide + +LiteLLM signs every Docker image published to GHCR with [cosign](https://docs.sigstore.dev/cosign/overview/) starting from **v1.83.0**. This page covers how to verify signatures, enforce verification in CI/CD, and follow recommended deployment patterns. + +## Signed images + +All image variants published to `ghcr.io/berriai/` are signed with the same cosign key: + +| Image | Description | +|---|---| +| `ghcr.io/berriai/litellm` | Core proxy | +| `ghcr.io/berriai/litellm-database` | Proxy with Postgres dependencies | +| `ghcr.io/berriai/litellm-non_root` | Non-root variant | +| `ghcr.io/berriai/litellm-spend_logs` | Spend-logs sidecar | + +The signing key was introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0) and the public key is checked into the repository at [`cosign.pub`](https://github.com/BerriAI/litellm/blob/main/cosign.pub). + +:::info Enterprise images +Enterprise images (`litellm-ee`) follow the same signing process. Contact [support@berri.ai](mailto:support@berri.ai) to confirm coverage for your specific enterprise image tag. +::: + +## Verify image signatures + +Install cosign following the [official instructions](https://docs.sigstore.dev/cosign/system_config/installation/). + +### Verify with the pinned commit hash (recommended) + +A commit hash is cryptographically immutable, making this the strongest verification method: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm:v1.83.0-stable +``` + +Replace the image reference with any signed variant: + +```bash +# litellm-database +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm-database:v1.83.0-stable + +# litellm-non_root +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm-non_root:v1.83.0-stable +``` + +### Verify with a release tag (convenience) + +Tags are protected in this repository and resolve to the same key: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/v1.83.0-stable/cosign.pub \ + ghcr.io/berriai/litellm-database:v1.83.0-stable +``` + +### Expected output + +``` +The following checks were performed on each of these signatures: + - The cosign claims were validated + - The signatures were verified against the specified public key +``` + +## Enforce verification in CI/CD + +### Kubernetes — Sigstore Policy Controller + +The [Sigstore Policy Controller](https://docs.sigstore.dev/policy-controller/overview/) rejects pods whose images fail cosign verification. + +1. Install the controller: + +```bash +helm repo add sigstore https://sigstore.github.io/helm-charts +helm install policy-controller sigstore/policy-controller \ + -n cosign-system --create-namespace +``` + +2. Create a `ClusterImagePolicy` with the LiteLLM public key: + +```yaml +apiVersion: policy.sigstore.dev/v1beta1 +kind: ClusterImagePolicy +metadata: + name: litellm-signed-images +spec: + images: + - glob: "ghcr.io/berriai/litellm*" + authorities: + - key: + data: | + -----BEGIN PUBLIC KEY----- + MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEKi4ivqGpE231OGH50PKbqy1Y1Kkb + POJC8+i2Wko82gBOUCe3M0Vw86H/4rhUhfoYEti4gdJ9wZbYmK0I2EE96g== + -----END PUBLIC KEY----- +``` + +3. Label the namespace to enable enforcement: + +```bash +kubectl label namespace litellm policy.sigstore.dev/include=true +``` + +Any pod in that namespace using an unsigned `ghcr.io/berriai/litellm*` image will be rejected at admission. + +### GCP — Binary Authorization + +[Binary Authorization](https://cloud.google.com/binary-authorization/docs) can enforce cosign signatures on Cloud Run and GKE. + +1. Create a cosign-based attestor using the LiteLLM public key: + +```bash +# Import the public key into a Cloud KMS keyring or use a PGP/PKIX attestor. +# See: https://cloud.google.com/binary-authorization/docs/creating-attestors-console +``` + +2. Configure a Binary Authorization policy that requires the attestor for `ghcr.io/berriai/litellm*` images. + +3. Enable the policy on your Cloud Run service or GKE cluster. + +Refer to the [GCP Binary Authorization docs](https://cloud.google.com/binary-authorization/docs/setting-up) for full setup steps. + +### AWS — ECS / ECR + +AWS does not natively verify cosign signatures at deploy time. Common approaches: + +- **CI/CD gate**: Run `cosign verify` in your deployment pipeline before pushing to ECR or updating the ECS task definition. Fail the pipeline if verification fails. +- **OPA/Gatekeeper on EKS**: If running on EKS, use the Sigstore Policy Controller (same as the Kubernetes approach above). + +### GitHub Actions gate + +Add a verification step before any deployment job: + +```yaml +- name: Verify LiteLLM image signature + run: | + cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm-database:${{ env.LITELLM_VERSION }} +``` + +## Recommended deployment patterns + +### Pin by digest + +Digest pinning guarantees the exact image content regardless of tag mutations: + +```yaml +image: ghcr.io/berriai/litellm-database@sha256: +``` + +Get the digest after pulling: + +```bash +docker inspect --format='{{index .RepoDigests 0}}' \ + ghcr.io/berriai/litellm-database:v1.83.0-stable +``` + +Cosign verification works with digests too: + +```bash +cosign verify \ + --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \ + ghcr.io/berriai/litellm-database@sha256: +``` + +### Use stable release tags + +If digest pinning is too rigid for your workflow, use `-stable` release tags (e.g. `v1.83.0-stable`). These are immutable release tags that will not be overwritten. + +Avoid `main-latest` or `main-stable` in production — these rolling tags point to the most recent build and can change between deployments. + +### Safe upgrade checklist + +1. **Verify the new image** — run `cosign verify` against the new release tag or digest. +2. **Test in staging** — deploy the verified image to a non-production environment. +3. **Update your pinned reference** — change the digest or tag in your deployment manifest. +4. **Deploy to production** — roll out using your standard deployment process. +5. **Monitor `/health`** — confirm the proxy is healthy after the upgrade. + +## Further reading + +- [CI/CD v2 announcement](https://docs.litellm.ai/blog/ci-cd-v2-improvements) — background on LiteLLM's signing infrastructure +- [Docker deployment guide](./deploy.md) — full Docker, Helm, and Terraform setup +- [cosign documentation](https://docs.sigstore.dev/cosign/overview/) — cosign usage and key management +- [Sigstore Policy Controller](https://docs.sigstore.dev/policy-controller/overview/) — Kubernetes admission control diff --git a/docs/my-website/docs/proxy/oauth2.md b/docs/my-website/docs/proxy/oauth2.md index c0597058cfd..9b94a017ca1 100644 --- a/docs/my-website/docs/proxy/oauth2.md +++ b/docs/my-website/docs/proxy/oauth2.md @@ -63,16 +63,19 @@ Start the LiteLLM Proxy with [`--detailed_debug` mode and you should see more ve ## Using OAuth2 + JWT Together -If both `enable_oauth2_auth` and `enable_jwt_auth` are enabled, LiteLLM can split auth paths: -- JWT validation for user tokens -- OAuth2 introspection for machine tokens +LiteLLM supports two OAuth2 + JWT modes: -For JWT-shaped machine tokens, configure `litellm_jwtauth.routing_overrides`: +1. **Global OAuth2 mode** (`enable_oauth2_auth: true`) + OAuth2 auth is enabled on LLM + info routes. +2. **Selective JWT override mode** (`enable_oauth2_auth: false`) + Only JWT-shaped tokens that match `litellm_jwtauth.routing_overrides` are routed to OAuth2 on LLM + info routes. + +For selective routing (OAuth2 only for specific JWTs), configure: ```yaml title="config.yaml" general_settings: enable_jwt_auth: true - enable_oauth2_auth: true + enable_oauth2_auth: false litellm_jwtauth: routing_overrides: - iss: "machine-issuer.example.com" diff --git a/docs/my-website/docs/proxy/token_auth.md b/docs/my-website/docs/proxy/token_auth.md index d37b05391b6..4d49a2445ef 100644 --- a/docs/my-website/docs/proxy/token_auth.md +++ b/docs/my-website/docs/proxy/token_auth.md @@ -792,16 +792,18 @@ litellm_jwtauth: ## Route JWT-Shaped Machine Tokens to OAuth2 -Use this when both are enabled: +Use this when: - `enable_jwt_auth: true` for standard JWT validation -- `enable_oauth2_auth: true` for OAuth2 introspection +- machine tokens are JWT-shaped and should be routed to OAuth2 based on claims -If some machine tokens are also JWT-shaped, configure `routing_overrides` to route matching tokens to OAuth2. +`routing_overrides` supports two operating modes: +- **Selective mode**: set `enable_oauth2_auth: false` to send only matching JWTs to OAuth2 on LLM + info routes +- **Global mode**: set `enable_oauth2_auth: true` to also enable OAuth2 on LLM + info routes ```yaml title="config.yaml" general_settings: enable_jwt_auth: true - enable_oauth2_auth: true + enable_oauth2_auth: false litellm_jwtauth: user_id_jwt_field: "sub" routing_overrides: @@ -822,7 +824,7 @@ general_settings: ```yaml title="config.yaml" general_settings: enable_jwt_auth: true - enable_oauth2_auth: true + enable_oauth2_auth: false litellm_jwtauth: routing_overrides: - iss: ["machine-issuer.example.com", "backup-issuer.example.com"] diff --git a/docs/my-website/img/april_townhall_isolated_environments.png b/docs/my-website/img/april_townhall_isolated_environments.png new file mode 100644 index 00000000000..120e5cec9b7 Binary files /dev/null and b/docs/my-website/img/april_townhall_isolated_environments.png differ diff --git a/docs/my-website/img/stable_main.png b/docs/my-website/img/stable_main.png new file mode 100644 index 00000000000..f050b54f6e0 Binary files /dev/null and b/docs/my-website/img/stable_main.png differ diff --git a/docs/my-website/img/verify_releases.png b/docs/my-website/img/verify_releases.png new file mode 100644 index 00000000000..270a999d8dc Binary files /dev/null and b/docs/my-website/img/verify_releases.png differ diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js index bb863a0e771..08959bc02ba 100644 --- a/docs/my-website/sidebars.js +++ b/docs/my-website/sidebars.js @@ -356,6 +356,7 @@ const sidebars = { "proxy/debugging", "proxy/error_diagnosis", "proxy/deploy", + "proxy/docker_image_security", "proxy/health", "proxy/master_key_rotations", "proxy/model_management", @@ -570,7 +571,8 @@ const sidebars = { "proxy/model_access", "proxy/model_access_groups", "proxy/access_groups", - "proxy/team_model_add" + "proxy/team_model_add", + "proxy/credential_routing" ] }, { diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py index de02a0c4dab..12fdaeb6a81 100644 --- a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py +++ b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py @@ -114,6 +114,7 @@ class PagerDutyAlerting(SlackAlerting): user_api_key_max_budget=_meta.get("user_api_key_max_budget"), user_api_key_budget_reset_at=_meta.get("user_api_key_budget_reset_at"), user_api_key_org_id=_meta.get("user_api_key_org_id"), + user_api_key_org_alias=_meta.get("user_api_key_org_alias"), user_api_key_team_id=_meta.get("user_api_key_team_id"), user_api_key_project_id=_meta.get("user_api_key_project_id"), user_api_key_project_alias=_meta.get("user_api_key_project_alias"), @@ -196,6 +197,7 @@ class PagerDutyAlerting(SlackAlerting): else None ), user_api_key_org_id=user_api_key_dict.org_id, + user_api_key_org_alias=user_api_key_dict.organization_alias, user_api_key_team_id=user_api_key_dict.team_id, user_api_key_project_id=user_api_key_dict.project_id, user_api_key_project_alias=user_api_key_dict.project_alias, diff --git a/litellm/__init__.py b/litellm/__init__.py index d4418c661a3..64c60ca3374 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -318,6 +318,7 @@ return_response_headers: bool = ( False # get response headers from LLM Api providers - example x-remaining-requests, ) enable_json_schema_validation: bool = False +enable_model_config_credential_overrides: bool = False enable_key_alias_format_validation: bool = ( False # opt-in validation of key_alias format on /key/generate and /key/update ) diff --git a/litellm/_logging.py b/litellm/_logging.py index 62283f6f65a..7824fcfa675 100644 --- a/litellm/_logging.py +++ b/litellm/_logging.py @@ -243,6 +243,12 @@ class JsonFormatter(Formatter): if key not in _STANDARD_RECORD_ATTRS and key not in json_record: json_record[key] = value + # Set component/logger only if not already supplied via extra={...} + if "component" not in json_record: + json_record["component"] = record.name + if "logger" not in json_record: + json_record["logger"] = f"{record.filename}:{record.lineno}" + if record.exc_info: json_record["stacktrace"] = record.exc_text or self.formatException( record.exc_info diff --git a/litellm/a2a_protocol/providers/pydantic_ai_agents/config.py b/litellm/a2a_protocol/providers/pydantic_ai_agents/config.py index 46253bbcf78..2f16779cc9f 100644 --- a/litellm/a2a_protocol/providers/pydantic_ai_agents/config.py +++ b/litellm/a2a_protocol/providers/pydantic_ai_agents/config.py @@ -21,11 +21,11 @@ class PydanticAIProviderConfig(BaseA2AProviderConfig): request_id: str, params: Dict[str, Any], api_base: Optional[str] = None, - **kwargs, + **kwargs: Any, ) -> Dict[str, Any]: """Handle non-streaming request to Pydantic AI agent.""" - if not api_base: - raise ValueError("api_base is required for Pydantic AI agents") + if api_base is None: + raise ValueError("api_base is required for PydanticAIProviderConfig") return await PydanticAIHandler.handle_non_streaming( request_id=request_id, params=params, diff --git a/litellm/constants.py b/litellm/constants.py index 28c6c0cc0e3..337cb1243fb 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -135,12 +135,32 @@ MCP_OAUTH2_TOKEN_CACHE_DEFAULT_TTL = int( MCP_NPM_CACHE_DIR = os.getenv("MCP_NPM_CACHE_DIR", "/tmp/.npm_mcp_cache") MCP_OAUTH2_TOKEN_CACHE_MIN_TTL = int(os.getenv("MCP_OAUTH2_TOKEN_CACHE_MIN_TTL", "10")) +# Per-user OAuth token Redis cache (for server-side token storage) +MCP_PER_USER_TOKEN_REDIS_KEY_PREFIX = "mcp:per_user_token" +MCP_PER_USER_TOKEN_DEFAULT_TTL = int( + os.getenv("MCP_PER_USER_TOKEN_DEFAULT_TTL", "43200") # 12 hours +) +MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS = int( + os.getenv("MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS", "60") +) + # MCP timeout defaults (seconds). Override via env vars for slow/custom MCP servers. MCP_CLIENT_TIMEOUT = float(os.getenv("LITELLM_MCP_CLIENT_TIMEOUT", "60.0")) MCP_TOOL_LISTING_TIMEOUT = float(os.getenv("LITELLM_MCP_TOOL_LISTING_TIMEOUT", "30.0")) MCP_METADATA_TIMEOUT = float(os.getenv("LITELLM_MCP_METADATA_TIMEOUT", "10.0")) MCP_HEALTH_CHECK_TIMEOUT = float(os.getenv("LITELLM_MCP_HEALTH_CHECK_TIMEOUT", "10.0")) +# Allowlist of commands permitted for MCP stdio transport. +# Prevents arbitrary command execution via /mcp-rest/test/* endpoints or server creation. +# Note: allowlisted runtimes can still execute code via args (e.g. python -c "..."). +# This is an accepted residual risk since these endpoints require PROXY_ADMIN. +# Extend via LITELLM_MCP_STDIO_EXTRA_COMMANDS env var (comma-separated). +_MCP_STDIO_EXTRA_COMMANDS = os.getenv("LITELLM_MCP_STDIO_EXTRA_COMMANDS", "") +MCP_STDIO_ALLOWED_COMMANDS: frozenset = frozenset( + {"npx", "uvx", "python", "python3", "node", "docker", "deno"} + | (set(_MCP_STDIO_EXTRA_COMMANDS.split(",")) - {""}) +) + LITELLM_UI_ALLOW_HEADERS = [ "x-litellm-semantic-filter", "x-litellm-semantic-filter-tools", diff --git a/litellm/integrations/dotprompt/prompt_manager.py b/litellm/integrations/dotprompt/prompt_manager.py index 997a40d545e..6407a18d0b3 100644 --- a/litellm/integrations/dotprompt/prompt_manager.py +++ b/litellm/integrations/dotprompt/prompt_manager.py @@ -7,7 +7,8 @@ from pathlib import Path from typing import Any, Dict, List, Optional, Tuple, Union import yaml -from jinja2 import DictLoader, Environment, select_autoescape +from jinja2 import DictLoader, select_autoescape +from jinja2.sandbox import ImmutableSandboxedEnvironment class PromptTemplate: @@ -59,7 +60,10 @@ class PromptManager: self.prompt_directory = Path(prompt_directory) if prompt_directory else None self.prompts: Dict[str, PromptTemplate] = {} self.prompt_file = prompt_file - self.jinja_env = Environment( + # Sandboxed env: templates can come from user input via /prompts/test, + # so we must block access to unsafe Python attributes and mutation of + # caller-supplied mutables. + self.jinja_env = ImmutableSandboxedEnvironment( loader=DictLoader({}), autoescape=select_autoescape(["html", "xml"]), # Use Handlebars-style delimiters to match Dotprompt spec diff --git a/litellm/integrations/generic_api/generic_api_compatible_callbacks.json b/litellm/integrations/generic_api/generic_api_compatible_callbacks.json index 13fe79ae671..900f75b1d54 100644 --- a/litellm/integrations/generic_api/generic_api_compatible_callbacks.json +++ b/litellm/integrations/generic_api/generic_api_compatible_callbacks.json @@ -33,5 +33,14 @@ "X-Qualifire-API-Key": "{{environment_variables.QUALIFIRE_API_KEY}}" }, "environment_variables": ["QUALIFIRE_API_KEY", "QUALIFIRE_WEBHOOK_URL"] + }, + "ramp": { + "event_types": ["llm_api_success"], + "endpoint": "https://api.ramp.com/developer/v1/ai-usage/litellm", + "headers": { + "Content-Type": "application/json", + "Authorization": "Bearer {{environment_variables.RAMP_API_KEY}}" + }, + "environment_variables": ["RAMP_API_KEY"] } } diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index fb5fc253ae4..c395987695b 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -1031,6 +1031,9 @@ class PrometheusLogger(CustomLogger): user_api_key_org_id = standard_logging_payload["metadata"].get( "user_api_key_org_id" ) + user_api_key_org_alias = standard_logging_payload["metadata"].get( + "user_api_key_org_alias" + ) output_tokens = standard_logging_payload["completion_tokens"] tokens_used = standard_logging_payload["total_tokens"] response_cost = standard_logging_payload["response_cost"] @@ -1068,6 +1071,8 @@ class PrometheusLogger(CustomLogger): model_group=standard_logging_payload["model_group"], team=user_api_team, team_alias=user_api_team_alias, + org_id=user_api_key_org_id, + org_alias=user_api_key_org_alias, user=user_id, user_email=standard_logging_payload["metadata"]["user_api_key_user_email"], status_code="200", @@ -1746,6 +1751,8 @@ class PrometheusLogger(CustomLogger): api_key_alias=user_api_key_dict.key_alias, team=user_api_key_dict.team_id, team_alias=user_api_key_dict.team_alias, + org_id=user_api_key_dict.org_id, + org_alias=user_api_key_dict.organization_alias, requested_model=request_data.get("model", ""), status_code=str(status_code), exception_status=str(status_code), diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index 7395b65626f..7a3547bca2e 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -4754,6 +4754,7 @@ class StandardLoggingPayloadSetup: user_api_key_budget_reset_at=None, user_api_key_team_id=None, user_api_key_org_id=None, + user_api_key_org_alias=None, user_api_key_project_id=None, user_api_key_project_alias=None, user_api_key_user_id=None, @@ -5586,6 +5587,7 @@ def get_standard_logging_metadata( user_api_key_budget_reset_at=None, user_api_key_team_id=None, user_api_key_org_id=None, + user_api_key_org_alias=None, user_api_key_project_id=None, user_api_key_project_alias=None, user_api_key_user_id=None, diff --git a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py index 4454fca3b00..8da66d4600d 100644 --- a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py +++ b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py @@ -322,9 +322,8 @@ class StandardBuiltInToolCostTracking: ) if has_url_citations: return True - # Fallback: Check usage object for providers that use usage instead of annotations - # (e.g., Vertex AI Gemini uses usage.prompt_tokens_details.web_search_requests) if usage is not None: + # Vertex AI Gemini uses usage.prompt_tokens_details.web_search_requests if ( hasattr(usage, "prompt_tokens_details") and usage.prompt_tokens_details is not None @@ -335,6 +334,15 @@ class StandardBuiltInToolCostTracking: and usage.prompt_tokens_details.web_search_requests is not None ): return True + # Anthropic Claude (direct API and Vertex AI) uses server_tool_use.web_search_requests. + # Without this check, Claude ModelResponse always falls through to return False + # and _handle_web_search_cost() is never called. + if ( + hasattr(usage, "server_tool_use") + and usage.server_tool_use is not None + and usage.server_tool_use.web_search_requests is not None + ): + return True return False elif isinstance(response_object, ResponsesAPIResponse): # response api explicitly includes web_search_call in the output diff --git a/litellm/llms/__init__.py b/litellm/llms/__init__.py index c73f0b22b4b..710342bbc78 100644 --- a/litellm/llms/__init__.py +++ b/litellm/llms/__init__.py @@ -34,6 +34,18 @@ def get_cost_for_web_search_request( return get_cost_for_anthropic_web_search(model_info=model_info, usage=usage) elif custom_llm_provider.startswith("vertex_ai"): + # Anthropic Claude models on Vertex AI populate server_tool_use.web_search_requests + # (same as the direct Anthropic API), not prompt_tokens_details.web_search_requests + # (which is the Gemini field). Route claude-* models to the Anthropic calculator. + model_key: str = model_info.get("key", "") if model_info else "" + if "claude" in model_key.lower(): + from .anthropic.cost_calculation import get_cost_for_anthropic_web_search + + verbose_logger.debug( + "vertex_ai/claude model detected — routing web search cost to Anthropic calculator" + ) + return get_cost_for_anthropic_web_search(model_info=model_info, usage=usage) + from .vertex_ai.gemini.cost_calculator import ( cost_per_web_search_request as cost_per_web_search_request_vertex_ai, ) diff --git a/litellm/llms/anthropic/chat/handler.py b/litellm/llms/anthropic/chat/handler.py index 9f2ddcae2c7..0f020c3a953 100644 --- a/litellm/llms/anthropic/chat/handler.py +++ b/litellm/llms/anthropic/chat/handler.py @@ -89,7 +89,12 @@ async def make_call( try: response = await client.post( - api_base, headers=headers, data=data, stream=True, timeout=timeout + api_base, + headers=headers, + data=data, + stream=True, + timeout=timeout, + logging_obj=logging_obj, ) except httpx.HTTPStatusError as e: error_headers = getattr(e, "headers", None) @@ -142,7 +147,12 @@ def make_sync_call( try: response = client.post( - api_base, headers=headers, data=data, stream=True, timeout=timeout + api_base, + headers=headers, + data=data, + stream=True, + timeout=timeout, + logging_obj=logging_obj, ) except httpx.HTTPStatusError as e: error_headers = getattr(e, "headers", None) @@ -266,7 +276,11 @@ class AnthropicChatCompletion(BaseLLM): try: response = await async_handler.post( - api_base, headers=headers, json=data, timeout=timeout + api_base, + headers=headers, + json=data, + timeout=timeout, + logging_obj=logging_obj, ) except Exception as e: ## LOGGING @@ -469,6 +483,7 @@ class AnthropicChatCompletion(BaseLLM): headers=headers, data=json.dumps(data), timeout=timeout, + logging_obj=logging_obj, ) except Exception as e: status_code = getattr(e, "status_code", 500) diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index c1eccaebd04..3ac579dae1b 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -538,9 +538,9 @@ class AmazonAnthropicClaudeMessagesConfig( merges usage from message_start and message_delta but ignores message_stop. This method buffers message_delta and, when message_stop arrives with cache usage, merges those fields into the - message_delta usage and also updates the input_tokens on - message_delta to include the full count (uncached + cache_creation + - cache_read). + message_delta usage. input_tokens is kept as the uncached-only + count; downstream calculate_usage adds cache tokens to + prompt_tokens. """ _CACHE_FIELDS = ("cache_creation_input_tokens", "cache_read_input_tokens") pending_delta = None @@ -569,12 +569,7 @@ class AmazonAnthropicClaudeMessagesConfig( raw_input = stop_usage.get("input_tokens") if raw_input is not None: - uncached = raw_input if isinstance(raw_input, int) else 0 - raw_cc = delta_usage.get("cache_creation_input_tokens", 0) - cache_creation = raw_cc if isinstance(raw_cc, int) else 0 - raw_cr = delta_usage.get("cache_read_input_tokens", 0) - cache_read = raw_cr if isinstance(raw_cr, int) else 0 - delta_usage["input_tokens"] = uncached + cache_creation + cache_read + delta_usage["input_tokens"] = raw_input if isinstance(raw_input, int) else 0 if delta_usage: pending_delta["usage"] = delta_usage # type: ignore[arg-type] diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index 4c9abaad908..7a8820a8785 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -1,5 +1,6 @@ import json import ssl +from urllib.parse import parse_qs, urlencode, urlparse, urlunparse from typing import ( TYPE_CHECKING, Any, @@ -5027,6 +5028,16 @@ class BaseLLMHTTPHandler: litellm_params={}, ) ws_url = http_url.replace("https://", "wss://").replace("http://", "ws://") + # OpenAI's WebSocket responses endpoint requires ?model= in the URL, + # matching the Realtime API convention (wss://.../v1/realtime?model=...). + # Use urllib.parse so existing query params (e.g. api-version) are preserved. + _parsed = urlparse(ws_url) + _qs = parse_qs(_parsed.query) + if "model" not in _qs: + _qs["model"] = [model] + ws_url = urlunparse( + _parsed._replace(query=urlencode({k: v[0] for k, v in _qs.items()})) + ) try: ssl_context = get_shared_realtime_ssl_context() diff --git a/litellm/llms/gemini/chat/transformation.py b/litellm/llms/gemini/chat/transformation.py index 5f8dead2043..72569e5c6cd 100644 --- a/litellm/llms/gemini/chat/transformation.py +++ b/litellm/llms/gemini/chat/transformation.py @@ -91,6 +91,7 @@ class GoogleAIStudioGeminiConfig(VertexGeminiConfig): "modalities", "parallel_tool_calls", "web_search_options", + "service_tier", ] if supports_reasoning(model, custom_llm_provider="gemini"): supported_params.append("reasoning_effort") diff --git a/litellm/llms/litellm_proxy/skills/prompt_injection.py b/litellm/llms/litellm_proxy/skills/prompt_injection.py index 2b86f74122b..86b6e223512 100644 --- a/litellm/llms/litellm_proxy/skills/prompt_injection.py +++ b/litellm/llms/litellm_proxy/skills/prompt_injection.py @@ -5,6 +5,7 @@ Handles extraction of skill content (SKILL.md) from stored ZIP files and injection into the system prompt for non-Anthropic models. """ +import posixpath import zipfile from io import BytesIO from typing import Any, Dict, List, Optional @@ -103,8 +104,18 @@ class SkillPromptInjectionHandler: else: clean_path = name - if clean_path: - files[clean_path] = zf.read(name) + if not clean_path: + continue + + # Ensure the path stays within the intended directory + normalized = posixpath.normpath(clean_path) + if normalized.startswith("..") or posixpath.isabs(normalized): + verbose_logger.warning( + f"SkillPromptInjectionHandler: Skipping entry with invalid path in skill {skill.skill_id}: {name}" + ) + continue + + files[normalized] = zf.read(name) except Exception as e: verbose_logger.warning( f"SkillPromptInjectionHandler: Error extracting files from skill {skill.skill_id}: {e}" diff --git a/litellm/llms/litellm_proxy/skills/sandbox_executor.py b/litellm/llms/litellm_proxy/skills/sandbox_executor.py index a5c0a539c96..af13d3c091d 100644 --- a/litellm/llms/litellm_proxy/skills/sandbox_executor.py +++ b/litellm/llms/litellm_proxy/skills/sandbox_executor.py @@ -94,9 +94,15 @@ class SkillsSandboxExecutor: # Create a temp directory to stage files with tempfile.TemporaryDirectory() as tmpdir: + tmpdir_abs = os.path.abspath(tmpdir) for path, content in skill_files.items(): # Create the file in temp directory - local_path = os.path.join(tmpdir, path) + local_path = os.path.abspath(os.path.join(tmpdir, path)) + if not local_path.startswith(tmpdir_abs + os.sep): + verbose_logger.warning( + f"SkillsSandboxExecutor: Skipping file with invalid path: {path}" + ) + continue os.makedirs(os.path.dirname(local_path), exist_ok=True) with open(local_path, "wb") as f: f.write(content) diff --git a/tests/proxy_e2e_azure_batches_tests/__init__.py b/litellm/llms/sap/__init__.py similarity index 100% rename from tests/proxy_e2e_azure_batches_tests/__init__.py rename to litellm/llms/sap/__init__.py diff --git a/litellm/llms/sap/chat/models.py b/litellm/llms/sap/chat/models.py index 8ca2aa7a690..d685d50277a 100644 --- a/litellm/llms/sap/chat/models.py +++ b/litellm/llms/sap/chat/models.py @@ -1,6 +1,8 @@ -from typing import Union, Literal +from typing import Union, Literal, Optional +from enum import Enum +import warnings -from pydantic import BaseModel, Field, field_validator +from pydantic import BaseModel, Field, field_validator, model_validator def validate_different_content(v: Union[str, dict, list]) -> str: @@ -20,7 +22,7 @@ def validate_different_content(v: Union[str, dict, list]) -> str: elif isinstance(v, str): return v raise ValueError("Content must be a string") - return v + class TextContent(BaseModel): @@ -49,6 +51,10 @@ class FunctionTool(BaseModel): parameters: dict = {"type": "object", "properties": {}} strict: bool = False + def model_dump(self, **kwargs) -> dict: + kwargs["exclude_unset"] = False + return super().model_dump(**kwargs) + @field_validator("parameters", mode="before") @classmethod def ensure_object_type(cls, v: dict) -> dict: @@ -66,6 +72,10 @@ class ChatCompletionTool(BaseModel): type_: Literal["function"] = Field(default="function", alias="type") function: FunctionTool + def model_dump(self, **kwargs) -> dict: + kwargs["exclude_unset"] = False + return super().model_dump(**kwargs) + class MessageToolCall(BaseModel): id: str @@ -114,6 +124,9 @@ class SAPToolChatMessage(BaseModel): ) +ChatMessage = Union[SAPMessage, SAPUserMessage, SAPAssistantMessage, SAPToolChatMessage] + + class ResponseFormat(BaseModel): type_: Literal["text", "json_object"] = Field(default="text", alias="type") @@ -128,3 +141,607 @@ class JSONResponseSchema(BaseModel): class ResponseFormatJSONSchema(BaseModel): type_: Literal["json_schema"] = Field(default="json_schema", alias="type") json_schema: JSONResponseSchema + + +class KeyValueListPair(BaseModel): + key: str + value: list[str] + + +class DocumentMetadataKeyValueListPairs(KeyValueListPair): + select_mode: Optional[list[Literal["ignoreIfKeyAbsent"]]] = None + + +class GroundingSearchConfig(BaseModel): + max_chunk_count: Optional[int] = Field(default=None, ge=0) + max_document_count: Optional[int] = Field(default=None, ge=0) + + @model_validator(mode="after") + def validate_max_chunk_count_and_max_document_count(self): + if self.max_chunk_count is not None and self.max_document_count is not None: + raise ValueError("Cannot specify both maxChunkCount and maxDocumentCount.") + return self + + +class DocumentGroundingFilter(BaseModel): + id_: Optional[str] = Field(default=None, alias="id") + data_repository_type: Literal["vector", "help.sap.com"] + search_config: Optional[GroundingSearchConfig] = None + data_repositories: Optional[list[str]] = None + data_repository_metadata: Optional[list[KeyValueListPair]] = None + document_metadata: Optional[list[DocumentMetadataKeyValueListPairs]] = None + chunk_metadata: Optional[list[KeyValueListPair]] = None + + +class DocumentGroundingPlaceholders(BaseModel): + input: list[str] = Field(min_length=1) + output: str + + +class DocumentGroundingConfig(BaseModel): + filters: Optional[list[DocumentGroundingFilter]] = None + placeholders: DocumentGroundingPlaceholders + metadata_params: Optional[list[str]] = None + + +class GroundingModuleConfig(BaseModel): + type_: Literal["document_grounding_service"] = Field( + default="document_grounding_service", alias="type" + ) + config: DocumentGroundingConfig + + +class Template(BaseModel): + template: list[ChatMessage] + defaults: Optional[dict[str, str]] = None + response_format: Optional[Union[ResponseFormat, ResponseFormatJSONSchema]] = None + tools: Optional[list[ChatCompletionTool]] = None + + +class LLMModelDetails(BaseModel): + name: str + version: str = "latest" + params: Optional[dict] = None + + +class PromptTemplatingModuleConfig(BaseModel): + prompt: Template + model: LLMModelDetails + + +class SAPMaskingProfileEntity(str, Enum): + """ + Enumerates the entity categories that can be masked by the SAP Data Privacy Integration service. + + This enum lists different types of personal or sensitive information (PII) that can be detected and masked + by the data masking module, such as personal details, organizational data, contact information, and identifiers. + + Values: + PERSON: Represents personal names. + + ORG: Represents organizational names. + + UNIVERSITY: Represents educational institutions. + + LOCATION: Represents geographical locations. + + EMAIL: Represents email addresses. + + PHONE: Represents phone numbers. + + ADDRESS: Represents physical addresses. + + SAP_IDS_INTERNAL: Represents internal SAP identifiers. + + SAP_IDS_PUBLIC: Represents public SAP identifiers. + + URL: Represents URLs. + + USERNAME_PASSWORD: Represents usernames and passwords. + + NATIONAL_ID: Represents national identification numbers. + + IBAN: Represents International Bank Account Numbers. + + SSN: Represents Social Security Numbers. + + CREDIT_CARD_NUMBER: Represents credit card numbers. + + PASSPORT: Represents passport numbers. + + DRIVING_LICENSE: Represents driving license numbers. + + NATIONALITY: Represents nationality information. + + RELIGIOUS_GROUP: Represents religious group affiliation. + + POLITICAL_GROUP: Represents political group affiliation. + + PRONOUNS_GENDER: Represents pronouns and gender identity. + + GENDER: Represents gender information. + + SEXUAL_ORIENTATION: Represents sexual orientation. + + TRADE_UNION: Represents trade union membership. + + SENSITIVE_DATA: Represents any other sensitive information. + """ + + PERSON = "profile-person" + ORG = "profile-org" + UNIVERSITY = "profile-university" + LOCATION = "profile-location" + EMAIL = "profile-email" + PHONE = "profile-phone" + ADDRESS = "profile-address" + SAP_IDS_INTERNAL = "profile-sapids-internal" + SAP_IDS_PUBLIC = "profile-sapids-public" + URL = "profile-url" + USERNAME_PASSWORD = "profile-username-password" + NATIONAL_ID = "profile-nationalid" + IBAN = "profile-iban" + SSN = "profile-ssn" + CREDIT_CARD_NUMBER = "profile-credit-card-number" + PASSPORT = "profile-passport" + DRIVING_LICENSE = "profile-driverlicense" + NATIONALITY = "profile-nationality" + RELIGIOUS_GROUP = "profile-religious-group" + POLITICAL_GROUP = "profile-political-group" + PRONOUNS_GENDER = "profile-pronouns-gender" + GENDER = "profile-gender" + SEXUAL_ORIENTATION = "profile-sexual-orientation" + TRADE_UNION = "profile-trade-union" + SENSITIVE_DATA = "profile-sensitive-data" + ETHNICITY = "profile-ethnicity" + + +class DPIMethodConstant(BaseModel): + """ + Replaces the entity with the specified value followed by an incrementing number + """ + + method: Literal["constant"] = "constant" + value: str + + +class DPIMethodFabricatedData(BaseModel): + """ + Replaces the entity with a randomly generated value appropriate to its type. + """ + + method: Literal["fabricated_data"] = "fabricated_data" + + +class DPICustomEntity(BaseModel): + """ + regex: Regular expression to match the entity + replacement_strategy: Replacement strategy to be used for the entity + """ + + regex: str + replacement_strategy: DPIMethodConstant + + +class DPIStandardEntity(BaseModel): + """ + type: Standard entity type to be masked + replacement_strategy: Replacement strategy to be used for the entity + """ + + type_: SAPMaskingProfileEntity = Field(..., alias="type") + replacement_strategy: Optional[ + Union[DPIMethodConstant, DPIMethodFabricatedData] + ] = None + + +class MaskGroundingInput(BaseModel): + """ + Controls whether the input to the grounding module will be masked with the configuration + supplied in the masking module + """ + + enabled: bool = False + + +class MaskingProviderConfig(BaseModel): + """ + SAP Data Privacy Integration provider for data masking. + + This class implements the SAP Data Privacy Integration service, which can anonymize or pseudonymize + specified entity categories in the input data. It supports masking sensitive information like personal names, + contact details, and identifiers. + + Args: + method: The method of masking to apply (anonymization or pseudonymization). + + entities: A list of entity categories to be masked, such as names, locations, or emails. + + allowlist: A list of strings that should not be masked. + + mask_grounding_input: A flag indicating whether to mask input to the grounding module. + """ + + type_: Literal["sap_data_privacy_integration"] = Field( + default="sap_data_privacy_integration", alias="type" + ) + method: Literal["anonymization", "pseudonymization"] + entities: list[Union[DPIStandardEntity, DPICustomEntity]] + allowlist: Optional[list[str]] = None + mask_grounding_input: Optional[MaskGroundingInput] = None + + +class MaskingModuleConfig(BaseModel): + """ + Configuration for the data masking module. + + Args: + providers: list of masking service provider configurations + masking_providers: list of masking provider configurations + IMPORTANT: use exactly one of the parameters to set the list of masking provider configurations. + DEPRECATED: parameter 'masking_providers' will be removed Sept 15, 2026. Use 'providers' instead. + """ + + providers: Optional[list[MaskingProviderConfig]] = Field(min_length=1, default=None) + masking_providers: Optional[list[MaskingProviderConfig]] = Field( + min_length=1, default=None + ) + + @model_validator(mode="after") + def enforce_exactly_one_provider_list(self): + has_providers = self.providers is not None + has_masking_providers = self.masking_providers is not None + + if not has_providers and not has_masking_providers: + raise ValueError( + "For SAP Masking Module Config you must provide 'providers'." + ) + if has_providers and has_masking_providers: + raise ValueError( + "For SAP Masking Module Config you must set exactly one of: 'providers' or 'masking_providers', not both." + ) + + if has_masking_providers: + warnings.warn( + "The 'masking_providers' parameter is deprecated and will be removed on Sept 15, 2026. " + "Use 'providers' instead.", + DeprecationWarning, + stacklevel=5, + ) + + return self + + +class AzureThreshold(int, Enum): + """ + Enumerates the threshold levels for the Azure Content Safety service. + + This enum defines the various threshold levels that can be used to filter + content based on its safety score. Each threshold value represents a specific + level of content moderation. + + Values: + ALLOW_SAFE: Allows only Safe content. + + ALLOW_SAFE_LOW: Allows Safe and Low content. + + ALLOW_SAFE_LOW_MEDIUM: Allows Safe, Low, and Medium content. + + ALLOW_ALL: Allows all content (Safe, Low, Medium, and High). + """ + + ALLOW_SAFE = 0 + ALLOW_SAFE_LOW = 2 + ALLOW_SAFE_LOW_MEDIUM = 4 + ALLOW_ALL = 6 + + +class AzureContentFilter(BaseModel): + """ + Specific filter configuration for Azure Content Safety. + + This class configures content filtering based on Azure's categories and + severity levels. It allows setting thresholds for hate speech, sexual content, + violence, and self-harm content. + + Values: + hate: Threshold for hate speech content. + + sexual: Threshold for sexual content. + + violence: Threshold for violent content. + + self_harm: Threshold for self-harm content. + """ + + hate: Optional[Union[AzureThreshold, Literal[0, 2, 4, 6]]] = None + sexual: Optional[Union[AzureThreshold, Literal[0, 2, 4, 6]]] = None + violence: Optional[Union[AzureThreshold, Literal[0, 2, 4, 6]]] = None + self_harm: Optional[Union[AzureThreshold, Literal[0, 2, 4, 6]]] = None + + +class AzureContentSafetyInput(AzureContentFilter): + """ + Filter configuration for Azure Content Safety Input + + Values: + hate: Threshold for hate speech content. + + sexual: Threshold for sexual content. + + violence: Threshold for violent content. + + self_harm: Threshold for self-harm content. + + prompt_shield: A flag to use prompt shield + """ + + prompt_shield: Optional[bool] = False + + +class AzureContentSafetyOutput(AzureContentFilter): + """ + Filter configuration for Azure Content Safety Output + + Values: + hate: Threshold for hate speech content. + + sexual: Threshold for sexual content. + + violence: Threshold for violent content. + + self_harm: Threshold for self-harm content. + + protected_material_code: Detect protected code content from known GitHub repositories. + The scan includes software libraries, source code, algorithms, + and other proprietary programming content. + """ + + protected_material_code: Optional[bool] = False + + +class LlamaGuard38bFilter(BaseModel): + """ + Specific implementation of ContentFilter for Llama Guard 3. Llama Guard 3 is a + Llama-3.1-8B pretrained model, fine-tuned for content safety classification. + + Args: + violent_crimes: Responses that enable, encourage, or endorse the commission of violent crimes. + + non_violent_crimes: Responses that enable, encourage, or endorse the commission of non-violent crimes. + + sex_crimes: Responses that enable, encourage, or endorse the commission of sex-related crimes. + + child_exploitation: Responses that contain, describe, enable or endorse the sexual abuse of children. + + defamation: Responses that are both verifiably false and likely to injure a living person's reputation. + + specialized_advice: Responses that contain specialized financial, medical or legal advice. + + privacy: Responses that contain sensitive or nonpublic personal information. + + intellectual_property: Responses that may violate the intellectual property rights of any third party. + + indiscriminate_weapons: Responses that enable, encourage, or endorse the creation of indiscriminate weapons. + + hate: Responses that demean or dehumanize people on the basis of their sensitive, personal characteristics. + + self_harm: Responses that enable, encourage, or endorse acts of intentional self-harm. + + sexual_content: Responses that contain erotica. + + elections: Responses that contain factually incorrect information about electoral systems and processes. + + code_interpreter_abuse: Responses that seek to abuse code interpreters. + """ + + violent_crimes: bool = Field(default=False) + non_violent_crimes: bool = Field(default=False) + sex_crimes: bool = Field(default=False) + child_exploitation: bool = Field(default=False) + defamation: bool = Field(default=False) + specialized_advice: bool = Field(default=False) + privacy: bool = Field(default=False) + intellectual_property: bool = Field(default=False) + indiscriminate_weapons: bool = Field(default=False) + hate: bool = Field(default=False) + self_harm: bool = Field(default=False) + sexual_content: bool = Field(default=False) + elections: bool = Field(default=False) + code_interpreter_abuse: bool = Field(default=False) + + +class LlamaGuard38bFilterConfig(BaseModel): + type_: Literal["llama_guard_3_8b"] = Field(default="llama_guard_3_8b", alias="type") + config: LlamaGuard38bFilter + + +class AzureContentSafetyInputFilterConfig(BaseModel): + type_: Literal["azure_content_safety"] = Field( + default="azure_content_safety", alias="type" + ) + config: Optional[AzureContentSafetyInput] = None + + +class AzureContentSafetyOutputFilterConfig(BaseModel): + type_: Literal["azure_content_safety"] = Field( + default="azure_content_safety", alias="type" + ) + config: Optional[AzureContentSafetyOutput] = None + + +class FilteringStreamOptions(BaseModel): + """ + overlap: Number of characters that should be additionally sent to content filtering services + from previous chunks as additional context. + """ + + overlap: Optional[int] = Field(default=0, ge=0, le=10000) + + +class InputFiltering(BaseModel): + """Module for managing and applying input content filters. + + Args: + filters: List of ContentFilter objects to be applied to input content. + """ + + filters: list[ + Union[AzureContentSafetyInputFilterConfig, LlamaGuard38bFilterConfig] + ] = Field(min_length=1) + + +class OutputFiltering(BaseModel): + """Module for managing and applying output content filters. + + Args: + filters: List of ContentFilter objects to be applied to output content. + + stream_options: Module-specific streaming options. + """ + + filters: list[ + Union[AzureContentSafetyOutputFilterConfig, LlamaGuard38bFilterConfig] + ] = Field(min_length=1) + stream_options: Optional[FilteringStreamOptions] = None + + +class FilteringModuleConfig(BaseModel): + """Module for managing and applying content filters. + + Args: + input: Module for filtering and validating input content before processing. + + output: Module for filtering and validating output content after generation. + """ + + input: Optional[InputFiltering] = None + output: Optional[OutputFiltering] = None + + @model_validator(mode="after") + def enforce_min_properties(self) -> "FilteringModuleConfig": + """ + Ensure at least one of input or output filtering is provided. + """ + if self.input is None and self.output is None: + raise ValueError( + "For using SAP Filtering Module you must provide at least one property: input or output filters." + ) + return self + + +class SAPDocumentTranslationApplyToSelector(BaseModel): + """ + This selector allows you to define the scope of translation, such as specific placeholders or + messages with specific roles. + For example, {"category": "placeholders", + "items": ["user_input"], + "source_language": "de-DE"} + targets the value of "user_input" in placeholder_values specified in the request payload; + and considers the value to be in German. + """ + + category: Literal["placeholders", "template_roles"] + items: list[str] + source_language: str + + +class InputTranslationConfig(BaseModel): + """ + Configuration for input translation. + + Args: + source_language: Language of the text to be translated. Example: de-DE + target_language: Language to which the text should be translated. Example: en-US + apply_to: List of selectors that define the scope of translation. + """ + + source_language: Optional[str] = None + target_language: str + apply_to: Optional[list[SAPDocumentTranslationApplyToSelector]] = None + + +class OutputTranslationConfig(BaseModel): + source_language: Optional[str] = None + target_language: Union[str, SAPDocumentTranslationApplyToSelector] + + +class SAPDocumentTranslationInput(BaseModel): + """ + Configuration for input translation + + Args: + type: The type of translation module (e.g., 'sap_document_translation'). + + translate_messages_history: If true, the messages history will be translated as well. + + config: Configuration object for the translation module. + """ + + type_: Literal["sap_document_translation"] = Field( + default="sap_document_translation", alias="type" + ) + translate_messages_history: Optional[bool] = None + config: InputTranslationConfig + + +class SAPDocumentTranslationOutput(BaseModel): + """ + Configuration for output translation + + Args: + type: The type of translation module (e.g., 'sap_document_translation'). + + config: Configuration object for the translation module. + """ + + type_: Literal["sap_document_translation"] = Field( + default="sap_document_translation", alias="type" + ) + config: OutputTranslationConfig + + +class TranslationModuleConfig(BaseModel): + """ + Configuration for translation module + + Args: + input: Configuration for input translation + + output: Configuration for output translation + """ + + input: Optional[SAPDocumentTranslationInput] = None + output: Optional[SAPDocumentTranslationOutput] = None + + @model_validator(mode="after") + def enforce_min_properties(self) -> "TranslationModuleConfig": + if self.input is None and self.output is None: + raise ValueError( + "TranslationModuleConfig requires at least one of 'input' or 'output'." + ) + return self + + +class ModuleConfig(BaseModel): + prompt_templating: PromptTemplatingModuleConfig + filtering: Optional[FilteringModuleConfig] = None + masking: Optional[MaskingModuleConfig] = None + grounding: Optional[GroundingModuleConfig] = None + translation: Optional[TranslationModuleConfig] = None + + +class GlobalStreamOptions(BaseModel): + enabled: bool = False + chunk_size: Optional[int] = Field(default=None, ge=1) + delimiters: Optional[list[str]] = None + + +class OrchestrationConfig(BaseModel): + modules: Union[ModuleConfig, list[ModuleConfig]] + stream: Optional[GlobalStreamOptions] = None + + +class OrchestrationRequest(BaseModel): + config: OrchestrationConfig + placeholder_values: Optional[dict[str, str]] = None diff --git a/litellm/llms/sap/chat/transformation.py b/litellm/llms/sap/chat/transformation.py index 7f6bab4a1d5..a55ec746350 100755 --- a/litellm/llms/sap/chat/transformation.py +++ b/litellm/llms/sap/chat/transformation.py @@ -11,6 +11,7 @@ from typing import ( TYPE_CHECKING, Iterator, AsyncIterator, + FrozenSet, ) from functools import cached_property import litellm @@ -31,12 +32,13 @@ else: from ..credentials import get_token_creator from .models import ( - SAPMessage, - SAPAssistantMessage, - SAPToolChatMessage, ChatCompletionTool, - ResponseFormatJSONSchema, + OrchestrationRequest, ResponseFormat, + ResponseFormatJSONSchema, + SAPAssistantMessage, + SAPMessage, + SAPToolChatMessage, SAPUserMessage, ) from .handler import ( @@ -45,9 +47,65 @@ from .handler import ( SAPStreamIterator, ) +# Keys routed outside SAP orchestration `model.params` (prompt, stream, fallbacks, etc.) +_SAP_MODEL_PARAMS_EXCLUDED_KEYS: FrozenSet[str] = frozenset( + { + "tools", + "tool_choice", + "stream_options", + "fallback_sap_modules", + "placeholder_values", + "model_version", + } +) + def validate_dict(data: dict, model) -> dict: - return model(**data).model_dump(by_alias=True) + return model(**data).model_dump(by_alias=True, exclude_unset=True) + + +def _messages_to_sap_template(messages: List[Dict[str, str]]) -> list: # type: ignore[type-arg] + template = [] + for message in messages: + if message["role"] == "user": + template.append(validate_dict(message, SAPUserMessage)) + elif message["role"] == "assistant": + template.append(validate_dict(message, SAPAssistantMessage)) + elif message["role"] == "tool": + template.append(validate_dict(message, SAPToolChatMessage)) + else: + template.append(validate_dict(message, SAPMessage)) + return template + + +def _tools_response_format_and_stream( + optional_params: dict, model_params: dict +) -> Tuple[dict, dict, dict]: + tools_ = optional_params.pop("tools", []) + tools_ = [validate_dict(tool, ChatCompletionTool) for tool in tools_] + tools: dict = {"tools": tools_} if tools_ else {} + + response_format = model_params.pop("response_format", {}) + resp_type = response_format.get("type", None) + if resp_type: + if resp_type == "json_schema": + response_format = validate_dict( + response_format, ResponseFormatJSONSchema + ) + else: + response_format = validate_dict(response_format, ResponseFormat) + response_format = {"response_format": response_format} + + model_params.pop("stream", False) + stream_config: dict = {} + if "stream_options" in optional_params: + stream_options = optional_params.pop("stream_options", {}) + if "chunk_size" in stream_options: + stream_config["chunk_size"] = stream_options.get("chunk_size") + if "delimiters" in stream_options: + stream_config["delimiters"] = stream_options.get("delimiters") + + return tools, response_format, stream_config class GenAIHubOrchestrationConfig(OpenAIGPTConfig): @@ -208,48 +266,25 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig): api_base_ = f"{self.deployment_url}/v2/completion" return api_base_ - def transform_request( + def _build_prompt_module( self, - model: str, - messages: List[Dict[str, str]], # type: ignore - optional_params: dict, - litellm_params: dict, - headers: dict, + model_name: str, + template_messages: List[Dict[str, str]], + params: dict, ) -> dict: - # Filter out parameters that are not valid model params for SAP Orchestration API - # - tools, model_version, deployment_url: handled separately - excluded_params = {"tools", "model_version", "deployment_url"} - # Filter strict for GPT models only - SAP AI Core doesn't accept it as a model param # LangChain agents pass strict=true at top level, which fails for GPT models # Anthropic models accept strict, so preserve it for them - if model.startswith("gpt"): - excluded_params.add("strict") + if model_name.startswith("gpt") and "strict" in params: + params.pop("strict") - model_params = { - k: v for k, v in optional_params.items() if k not in excluded_params - } + model_version = params.pop("model_version", "latest") - model_version = optional_params.pop("model_version", "latest") - template = [] - for message in messages: - if message["role"] == "user": - template.append(validate_dict(message, SAPUserMessage)) - elif message["role"] == "assistant": - template.append(validate_dict(message, SAPAssistantMessage)) - elif message["role"] == "tool": - template.append(validate_dict(message, SAPToolChatMessage)) - else: - template.append(validate_dict(message, SAPMessage)) - - tools_ = optional_params.pop("tools", []) + tools_ = params.pop("tools", []) tools_ = [validate_dict(tool, ChatCompletionTool) for tool in tools_] - if tools_ != []: - tools = {"tools": tools_} - else: - tools = {} + tools = {"tools": tools_} if tools_ else {} - response_format = model_params.pop("response_format", {}) + response_format = params.pop("response_format", {}) resp_type = response_format.get("type", None) if resp_type: if resp_type == "json_schema": @@ -259,33 +294,104 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig): else: response_format = validate_dict(response_format, ResponseFormat) response_format = {"response_format": response_format} - model_params.pop("stream", False) - stream_config = {} - if "stream_options" in model_params: - # stream_config["enabled"] = True - stream_options = model_params.pop("stream_options", {}) - stream_config["chunk_size"] = stream_options.get("chunk_size", 100) - if "delimiters" in stream_options: - stream_config["delimiters"] = stream_options.get("delimiters") - # else: - # stream_config["enabled"] = False - config = { - "config": { - "modules": { - "prompt_templating": { - "prompt": {"template": template, **tools, **response_format}, - "model": { - "name": model, - "params": model_params, - "version": model_version, - }, - }, + else: + response_format = {} + + placeholder_defaults = params.pop("placeholder_defaults", {}) + placeholder_defaults = ( + {"defaults": placeholder_defaults} if placeholder_defaults else {} + ) + + optional_modules = {} + optional_modules_lst = ["grounding", "masking", "filtering", "translation"] + for module in optional_modules_lst: + if params.get(module, None) is not None: + optional_modules[module] = params.pop(module) + + return { + "prompt_templating": { + "prompt": { + "template": template_messages, + **placeholder_defaults, + **tools, + **response_format, }, - "stream": stream_config, - } + "model": { + "name": model_name, + "params": params, + "version": model_version, + }, + }, + **optional_modules, } - return config + def transform_request( + self, + model: str, + messages: List[Dict[str, str]], # type: ignore + optional_params: dict, + litellm_params: dict, + headers: dict, + ) -> dict: + optional_params = dict(optional_params) + optional_params.pop("deployment_url", None) + + template = _messages_to_sap_template(messages) + + placeholder_values = optional_params.pop("placeholder_values", None) + fallback_modules = optional_params.pop("fallback_sap_modules", []) + + optional_params.pop("stream", None) + stream_config: dict = {} + if "stream_options" in optional_params: + stream_options = optional_params.pop("stream_options", {}) + if "chunk_size" in stream_options: + stream_config["chunk_size"] = stream_options["chunk_size"] + if "delimiters" in stream_options: + stream_config["delimiters"] = stream_options["delimiters"] + + optional_params.pop("tool_choice", None) + + modules = [ + self._build_prompt_module( + model_name=model, + template_messages=template, + params=dict(optional_params), + ) + ] + + for modules_dict in fallback_modules: + modules_dict = dict(modules_dict) + fallback_model = modules_dict.pop("model", None) + if fallback_model is None: + raise ValueError( + "Each entry in `fallback_sap_modules` must include a 'model' key." + ) + if fallback_model.startswith("sap/"): + fallback_model = fallback_model[4:] + fallback_template = modules_dict.pop("messages", []) + + modules.append( + self._build_prompt_module( + model_name=fallback_model, + template_messages=fallback_template, + params=modules_dict, + ) + ) + + config_payload: Dict[str, Any] = { + "modules": modules if len(modules) > 1 else modules[0], + } + if stream_config: + config_payload["stream"] = stream_config + + request_body: Dict[str, Any] = {"config": config_payload} + if placeholder_values is not None: + request_body["placeholder_values"] = placeholder_values + + body = validate_dict(request_body, OrchestrationRequest) + + return body def transform_response( self, diff --git a/litellm/llms/sap/credentials.py b/litellm/llms/sap/credentials.py index aeae51bf0bb..0ae351783e8 100644 --- a/litellm/llms/sap/credentials.py +++ b/litellm/llms/sap/credentials.py @@ -1,5 +1,5 @@ from __future__ import annotations -from typing import Any, Callable, Dict, Final, List, Optional, Sequence, Tuple +from typing import Any, Callable, Dict, Final, List, Optional, Sequence, Tuple, Union from datetime import datetime, timedelta, timezone from threading import Lock from pathlib import Path @@ -7,9 +7,11 @@ from dataclasses import dataclass import json import os import tempfile +import httpx -from litellm import sap_service_key -from litellm.llms.custom_httpx.http_handler import _get_httpx_client +from litellm.llms.custom_httpx.http_handler import _get_httpx_client, HTTPHandler +from litellm._logging import verbose_logger +import litellm AUTH_ENDPOINT_SUFFIX = "/oauth/token" @@ -28,11 +30,25 @@ def _get_home() -> str: return os.getenv(HOME_PATH_ENV_VAR, DEFAULT_HOME_PATH) -def _get_nested(d: Dict[str, Any], path: Sequence[str]) -> Any: +def _get_nested(d: Union[Dict[str, Any], str], path: Sequence[str]) -> Any: cur: Any = d + if isinstance(cur, str): + # This shouldn't happen if service keys are pre-parsed correctly + try: + cur = json.loads(cur) + except json.JSONDecodeError: + verbose_logger.warning( + "SAP service key or VCAP service is a string but not valid JSON." + ) + return None for k in path: - if not isinstance(cur, dict) or k not in cur: - raise KeyError(".".join(path)) + if not isinstance(cur, dict): + verbose_logger.warning( + f"SAP service key or VCAP service traversal hit non-dict type '{type(cur).__name__}' at key '{k}'." + ) + return None + if k not in cur: + return None cur = cur[k] return cur @@ -47,6 +63,13 @@ def _load_json_env(var_name: str) -> Optional[Dict[str, Any]]: return None +def _str_or_none(value) -> Optional[str]: + try: + return str(value) if value is not None else None + except Exception: + return None + + def _load_vcap() -> Dict[str, Any]: return _load_json_env(VCAP_SERVICES_ENV_VAR) or {} @@ -59,6 +82,12 @@ def _get_vcap_service(label: str) -> Optional[Dict[str, Any]]: return None +@dataclass +class Source: + name: str + get: Callable[[CredentialsValue], Optional[str]] + + @dataclass(frozen=True) class CredentialsValue: name: str @@ -82,7 +111,6 @@ CREDENTIAL_VALUES: Final[List[CredentialsValue]] = [ transform_fn=lambda url: url.rstrip("/") + ("" if url.endswith("/v2") else "/v2"), ), - CredentialsValue("resource_group", default="default"), CredentialsValue( "cert_url", ("certurl",), @@ -145,81 +173,239 @@ def _env_name(name: str) -> str: return f"AICORE_{name.upper()}" -def _resolve_value( - cred: CredentialsValue, - *, - kwargs: Dict[str, Any], - env: Dict[str, str], - config: Dict[str, Any], - service_like: Optional[Dict[str, Any]], -) -> Optional[str]: - # 1) explicit kwargs - if cred.name in kwargs and kwargs[cred.name] is not None: - return kwargs[cred.name] +def extract_credentials(source: Source) -> Dict[str, str]: + """Extract all credentials from a source.""" + credentials = {} + for cv in CREDENTIAL_VALUES: + value = source.get(cv) + if value is not None: + credentials[cv.name] = cv.transform_fn(value) if cv.transform_fn else value + return credentials - # 2) environment variables (primary name) - env_key = _env_name(cred.name) - if env_key in env and env[env_key] is not None: - return env[env_key] - # 3) config file (accept both prefixed and plain keys) - for key in (env_key, cred.name): - if key in config and config[key] is not None: - return config[key] +def resolve_credentials(sources: List[Source]) -> Dict[str, str]: + """Extract credentials from the first source that has any defined.""" + for source in sources: + credentials = extract_credentials(source) + if credentials: + verbose_logger.debug(f"Resolved SAP credentials from source {source.name}") + return credentials + raise ValueError("No credentials found in any source") - # 4) service-like source (AICORE_SERVICE_KEY first, else VCAP) - if service_like and cred.vcap_key: + +def resolve_resource_group(sources: List[Source]) -> Optional[str]: + """Find resource_group from the first source that defines it.""" + rg_cred = CredentialsValue("resource_group", default="default") + for source in sources: + value = source.get(rg_cred) + if value is not None: + verbose_logger.debug( + f"Resolved GEN AI Hub resource_group from source {source.name}" + ) + return value + return rg_cred.default + + +def _parse_service_key_once( + service_key: Optional[Union[str, dict]] +) -> Optional[Dict[str, Any]]: + """ + Pre-parse service_key if it's a string to avoid repeated JSON parsing. + + Returns None if parsing fails (other credential sources may still work). + """ + if service_key is None: + return None + if isinstance(service_key, dict): + return service_key + if isinstance(service_key, str): try: - val = _get_nested(service_like, ("credentials",) + cred.vcap_key) - if val is not None: - return val - except KeyError: - pass + return json.loads(service_key) + except json.JSONDecodeError: + verbose_logger.warning( + "SAP service key is a string but not valid JSON. Skipping this source." + ) + return None + verbose_logger.warning( + f"SAP service key has unexpected type '{type(service_key).__name__}'. Expected str or dict. Ignoring." + ) + return None - # 5) default - return cred.default + +def _resolve_credential_from_service_key( + service_key: Optional[Union[str, dict]], cv: CredentialsValue +) -> Optional[str]: + if service_key is None: + return None + val = _str_or_none( + _get_nested( + service_key, (("credentials",) + cv.vcap_key) if cv.vcap_key else (cv.name,) + ) + ) + if val is None: + return _str_or_none( + _get_nested(service_key, cv.vcap_key if cv.vcap_key else (cv.name,)) + ) + return val def fetch_credentials( - service_key: Optional[str] = None, profile: Optional[str] = None, **kwargs + service_key: Optional[Union[str, dict]] = None, + profile: Optional[str] = None, + **kwargs, ) -> Dict[str, str]: """ - Resolution order per key: + Resolution order (first-source-wins): + + Sources are checked in this order: kwargs + > service key > env (AICORE_) > config (AICORE_ or plain ) - > service-like source from JSON in $AICORE_SERVICE_KEY (same structure as a VCAP service object) - falling back to service entry in $VCAP_SERVICES with label 'aicore' + > vcap service key > default + + Important: + - Credentials are extracted from the FIRST source that provides any credential value. + - Values are NOT merged per key across sources. Except resource_group, which is merged. + + Warning: + - This function does NOT validate the returned credentials just parsed it from the sources. + - Callers MUST explicitly call validate_credentials() on the returned dict """ config = init_conf(profile) - env = os.environ # snapshot for testability - service_like = None - if not config: - # Prefer AICORE_SERVICE_KEY if present; otherwise fall back to the VCAP service. - service_like = ( - service_key - or sap_service_key - or _load_json_env(SERVICE_KEY_ENV_VAR) - or _get_vcap_service(VCAP_AICORE_SERVICE_NAME) + service_key = _parse_service_key_once( + service_key or litellm.sap_service_key or os.environ.get(SERVICE_KEY_ENV_VAR) + ) + vcap_service = _get_vcap_service(VCAP_AICORE_SERVICE_NAME) + + sources = [ + Source("kwargs", lambda cv: _str_or_none(kwargs.get(cv.name))), + Source( + "service key", + lambda cv: _resolve_credential_from_service_key(service_key, cv), + ), + Source( + "environment variables", + lambda cv: _str_or_none(os.environ.get(f"AICORE_{cv.name.upper()}")), + ), + Source( + "config file", + lambda cv: _str_or_none( + config.get(f"AICORE_{cv.name.upper()}") + if config.get(f"AICORE_{cv.name.upper()}") is not None + else config.get(cv.name) + ), + ), + Source( + "VCAP service", + lambda cv: ( + _str_or_none( + _get_nested( + vcap_service, + (("credentials",) + cv.vcap_key) if cv.vcap_key else (cv.name,), + ) + ) + if vcap_service + else None + ), + ), # type: ignore[arg-type] + ] + + credentials = resolve_credentials(sources) + + resource_group = resolve_resource_group(sources) + if resource_group is not None: + credentials["resource_group"] = resource_group + + if "cert_url" in credentials: + credentials["auth_url"] = credentials.pop("cert_url") + return credentials + + +def validate_credentials( + auth_url: Optional[str] = None, + base_url: Optional[str] = None, + client_id: Optional[str] = None, + client_secret: Optional[str] = None, + cert_str: Optional[str] = None, + key_str: Optional[str] = None, + cert_file_path: Optional[str] = None, + key_file_path: Optional[str] = None, +) -> None: + """ + Validate SAP AI Core credentials for completeness and consistency. + + Args: + auth_url: OAuth2 token endpoint URL (required) + base_url: SAP AI Core API base URL (required) + client_id: OAuth2 client ID (required) + client_secret: OAuth2 client secret (for secret-based auth) + cert_str: PEM-encoded certificate string (for cert-based auth) + key_str: PEM-encoded private key string (for cert-based auth) + cert_file_path: Path to certificate file (for file-based cert auth) + key_file_path: Path to private key file (for file-based cert auth) + + Raises: + ValueError: If required fields are missing or authentication mode is ambiguous. + + Note: + - This function does NOT validate resource_group (resolved separately). + - Exactly one authentication method must be provided: + * client_secret, OR + * (cert_str AND key_str), OR + * (cert_file_path AND key_file_path) + """ + if not auth_url or not client_id or not base_url: + raise ValueError( + "SAP AI Core credentials not found. " + "Please provide credentials by setting appropriate environment variables " + "(e.g. AICORE_CLIENT_ID, AICORE_CLIENT_SECRET, etc.)" ) - out: Dict[str, str] = {} - for cred in CREDENTIAL_VALUES: - value = _resolve_value(cred, kwargs=kwargs, env=env, config=config, service_like=service_like) # type: ignore - if value is None: - continue - if cred.transform_fn: - value = cred.transform_fn(value) - out[cred.name] = value - if "cert_url" in out.keys(): - out["auth_url"] = out.pop("cert_url") - return out + modes = [ + bool(client_secret), + bool(cert_str) and bool(key_str), + bool(cert_file_path) and bool(key_file_path), + ] + if sum(bool(m) for m in modes) != 1: + raise ValueError( + "SAP AI Core credentials are incomplete. " + "Invalid credentials: provide exactly one of client_secret, " + "(cert_str & key_str), or (cert_file_path & key_file_path)." + ) + + +def _request_token( + client_id: str, auth_url: str, timeout: float, cert_pair=None, client_secret=None +) -> tuple[str, datetime]: + data = {"grant_type": "client_credentials", "client_id": client_id} + if client_secret: + data["client_secret"] = client_secret + + resp: Optional[httpx.Response] = None + try: + if cert_pair: + with httpx.Client(cert=cert_pair) as raw_client: + handler = HTTPHandler(client=raw_client) + resp = handler.post(auth_url, data=data, timeout=timeout) # type: ignore[arg-type] + payload = resp.json() + else: + handler = _get_httpx_client() + resp = handler.post(auth_url, data=data, timeout=timeout) # type: ignore[arg-type] + payload = resp.json() + access_token = payload["access_token"] + expires_in = int(payload.get("expires_in", 3600)) + expiry_date = datetime.now(timezone.utc) + timedelta(seconds=expires_in) + return f"Bearer {access_token}", expiry_date + except Exception as e: + msg = resp.text if resp is not None else getattr(e, "text", str(e)) + raise RuntimeError(f"Token request failed: {msg}") from e def get_token_creator( - service_key: Optional[str] = None, + service_key: Optional[Union[str, dict]] = None, profile: Optional[str] = None, *, timeout: float = 30.0, @@ -237,7 +423,7 @@ def get_token_creator( Args: profile: Optional AICore profile name - timeout: HTTP request timeout in seconds (default 30s) + timeout: Timeout for HTTP requests expiry_buffer_minutes: Refresh the token this many minutes before expiry overrides: Any explicit credential overrides (client_id, client_secret, etc.) @@ -251,6 +437,7 @@ def get_token_creator( ) auth_url = credentials.get("auth_url") + base_url = credentials.get("base_url") client_id = credentials.get("client_id") client_secret = credentials.get("client_secret") cert_str = credentials.get("cert_str") @@ -259,49 +446,30 @@ def get_token_creator( key_file_path = credentials.get("key_file_path") # Sanity check - if not auth_url or not client_id: - raise ValueError( - "fetch_credentials did not return valid 'auth_url' or 'client_id'" - ) - - modes = [ - client_secret is not None, - (cert_str is not None and key_str is not None), - (cert_file_path is not None and key_file_path is not None), - ] - if sum(bool(m) for m in modes) != 1: - raise ValueError( - "Invalid credentials: provide exactly one of client_secret, " - "(cert_str & key_str), or (cert_file_path & key_file_path)." - ) + validate_credentials( + auth_url, + base_url, + client_id, + client_secret, + cert_str, + key_str, + cert_file_path, + key_file_path, + ) lock = Lock() token: Optional[str] = None token_expiry: Optional[datetime] = None - def _request_token(cert_pair=None) -> tuple[str, datetime]: - data = {"grant_type": "client_credentials", "client_id": client_id} - if client_secret: - data["client_secret"] = client_secret - - client = _get_httpx_client() - # with httpx.Client(cert=cert_pair, timeout=timeout) as client: - resp = client.post(auth_url, data=data) - try: - resp.raise_for_status() - payload = resp.json() - access_token = payload["access_token"] - expires_in = int(payload.get("expires_in", 3600)) - expiry_date = datetime.now(timezone.utc) + timedelta(seconds=expires_in) - return f"Bearer {access_token}", expiry_date - except Exception as e: - msg = getattr(resp, "text", str(e)) - raise RuntimeError(f"Token request failed: {msg}") from e - def _fetch_token() -> tuple[str, datetime]: # Case 1: secret-based auth if client_secret: - return _request_token() + return _request_token( + auth_url=auth_url, # type: ignore[arg-type] + client_id=client_id, # type: ignore[arg-type] + timeout=timeout, + client_secret=client_secret, + ) # Case 2: cert/key strings if cert_str and key_str: cert_str_fixed = cert_str.replace("\\n", "\n") @@ -313,9 +481,24 @@ def get_token_creator( f.write(cert_str_fixed) with open(key_path, "w") as f: f.write(key_str_fixed) - return _request_token(cert_pair=(cert_path, key_path)) + return _request_token( + auth_url=auth_url, # type: ignore[arg-type] + client_id=client_id, # type: ignore[arg-type] + timeout=timeout, + cert_pair=(cert_path, key_path), + ) # Case 3: file-based cert/key - return _request_token(cert_pair=(cert_file_path, key_file_path)) + if cert_file_path is not None and key_file_path is not None: + return _request_token( + auth_url=auth_url, # type: ignore[arg-type] + client_id=client_id, # type: ignore[arg-type] + timeout=timeout, + cert_pair=(cert_file_path, key_file_path), + ) + # Defensive guard: should never reach here due to validate_credentials() + raise ValueError( + "Invalid authentication configuration: no valid credentials found. " + ) def get_token() -> str: nonlocal token, token_expiry diff --git a/litellm/llms/sap/embed/transformation.py b/litellm/llms/sap/embed/transformation.py index 0bbf4f259f7..c74f21c3685 100644 --- a/litellm/llms/sap/embed/transformation.py +++ b/litellm/llms/sap/embed/transformation.py @@ -5,6 +5,7 @@ Translates from OpenAI's `/v1/embeddings` to IBM's `/text/embeddings` route. from typing import Optional, List, Dict, Literal, Union from pydantic import BaseModel, Field from functools import cached_property +from litellm.llms.sap.chat.models import MaskingModuleConfig import httpx @@ -47,25 +48,36 @@ class EmbeddingsResponse(BaseModel): class EmbeddingModel(BaseModel): name: str version: str = "latest" - params: dict = Field(default_factory=dict, validation_alias="parameters") + params: dict = Field(default_factory=dict) + timeout: Optional[int] = Field(default=None, ge=1, le=600) + max_retries: Optional[int] = Field(default=None, ge=0, le=5) + + +class EmbeddingsModelConfig(BaseModel): + model: EmbeddingModel class EmbeddingsModules(BaseModel): - embeddings: EmbeddingModel + embeddings: EmbeddingsModelConfig + masking: Optional[MaskingModuleConfig] = None class EmbeddingInput(BaseModel): text: Union[str, List[str]] - type: Literal["text", "document", "query"] = "text" + type: Optional[Literal["text", "document", "query"]] = None + + +class EmbeddingConfig(BaseModel): + modules: EmbeddingsModules class EmbeddingRequest(BaseModel): - config: EmbeddingsModules + config: EmbeddingConfig input: EmbeddingInput def validate_dict(data: dict, model) -> dict: - return model(**data).model_dump() + return model(**data).model_dump(exclude_unset=True, by_alias=True) class GenAIHubEmbeddingConfig(BaseEmbeddingConfig): @@ -152,15 +164,23 @@ class GenAIHubEmbeddingConfig(BaseEmbeddingConfig): model_dict["name"] = model model_dict["version"] = optional_params.get("version", "latest") model_dict["params"] = optional_params.get("parameters", {}) + timeout = optional_params.get("timeout", None) + if timeout is not None: + model_dict["timeout"] = timeout + max_retries = optional_params.get("max_retries", None) + if max_retries is not None: + model_dict["max_retries"] = max_retries input_dict = {"text": input} + input_type = optional_params.get("type") + if input_type is not None: + input_dict["type"] = input_type + masking = optional_params.get("masking") + masking = {"masking": masking} if masking is not None else {} body = { - "config": { - "modules": { - "embeddings": {"model": validate_dict(model_dict, EmbeddingModel)} - } - }, - "input": validate_dict(input_dict, EmbeddingInput), + "config": {"modules": {"embeddings": {"model": model_dict}, **masking}}, + "input": input_dict, } + body = validate_dict(body, EmbeddingRequest) return body def transform_embedding_response( diff --git a/litellm/llms/triton/embedding/transformation.py b/litellm/llms/triton/embedding/transformation.py index 8ab0277e369..93d1c25f169 100644 --- a/litellm/llms/triton/embedding/transformation.py +++ b/litellm/llms/triton/embedding/transformation.py @@ -8,7 +8,8 @@ from litellm.llms.base_llm.embedding.transformation import ( LiteLLMLoggingObj, ) from litellm.types.llms.openai import AllEmbeddingInputValues -from litellm.types.utils import EmbeddingResponse +from litellm.types.utils import EmbeddingResponse, Usage +from litellm.utils import token_counter from ..common_utils import TritonError @@ -103,8 +104,36 @@ class TritonEmbeddingConfig(BaseEmbeddingConfig): model_response.model = raw_response_json.get("model_name", "None") model_response.data = _embedding_output + model_response.usage = self._build_embedding_usage( + model=model, request_data=request_data + ) return model_response + def _build_embedding_usage(self, model: str, request_data: dict) -> Usage: + input_data = request_data.get("inputs", []) + input_text_values: List[str] = [] + for item in input_data: + if isinstance(item, dict) and item.get("name") == "input_text": + data_values = item.get("data", []) + if isinstance(data_values, list): + input_text_values = [str(value) for value in data_values] + break + + prompt_tokens = 0 + for text in input_text_values: + if not text: + continue + try: + prompt_tokens += token_counter(model=model, text=text) + except Exception: + prompt_tokens += len(text.split()) + + return Usage( + prompt_tokens=prompt_tokens, + completion_tokens=0, + total_tokens=prompt_tokens, + ) + def get_error_class( self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers] ) -> BaseLLMException: diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py index 7945c44d44c..6157a384dc0 100644 --- a/litellm/llms/vertex_ai/gemini/transformation.py +++ b/litellm/llms/vertex_ai/gemini/transformation.py @@ -763,6 +763,16 @@ def _transform_request_body( # noqa: PLR0915 data["generationConfig"] = generation_config if cached_content is not None: data["cachedContent"] = cached_content + + if service_tier := optional_params.pop("service_tier", None): + if isinstance(service_tier, str): + if service_tier.lower() == "default": + data["serviceTier"] = "standard" + else: + data["serviceTier"] = service_tier.lower() + else: + data["serviceTier"] = service_tier + # Only add labels for Vertex AI endpoints (not Google GenAI/AI Studio) and only if non-empty if labels and custom_llm_provider != LlmProviders.GEMINI: data["labels"] = labels diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py index 36f51c5b2f5..e6e548ab98a 100644 --- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py +++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py @@ -318,6 +318,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig): "parallel_tool_calls", "web_search_options", "include_server_side_tool_invocations", + "service_tier", ] # Add penalty parameters only for non-preview models @@ -362,6 +363,17 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig): """ return Tools(googleSearch={}) + def _map_service_tier_param(self, value: str, optional_params: dict) -> None: + """ + Map OpenAI service_tier (string) to Gemini serviceTier. + 'auto' maps to 'priority'. + Other values are passed lowercased. + """ + if value.lower() == "auto": + optional_params["service_tier"] = "priority" + else: + optional_params["service_tier"] = value.lower() + def _transform_computer_use_config(self, computer_use_config: dict) -> dict: """ Transform Computer Use configuration to Gemini API format. @@ -1121,6 +1133,8 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig): optional_params = self._add_tools_to_optional_params( optional_params, [_tools] ) + elif param == "service_tier" and isinstance(value, str): + self._map_service_tier_param(value, optional_params) elif param == "include_server_side_tool_invocations" and value is True: optional_params["include_server_side_tool_invocations"] = True if litellm.vertex_ai_safety_settings is not None: @@ -2415,6 +2429,14 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig): "provider_specific_fields", {} )["traffic_type"] = traffic_type + ## ADD SERVICE TIER ## + if getattr(raw_response, "headers", None): + if service_tier := raw_response.headers.get("x-gemini-service-tier"): + if service_tier.lower() == "standard": + setattr(model_response, "service_tier", "default") + else: + setattr(model_response, "service_tier", service_tier.lower()) + except Exception as e: raise VertexAIError( message="Received={}, Error converting to valid response block={}. File an issue if litellm error - https://github.com/BerriAI/litellm/issues".format( @@ -2513,6 +2535,7 @@ async def make_call( streaming_response=response.aiter_lines(), sync_stream=False, logging_obj=logging_obj, + response_headers=response.headers, ) # LOGGING logging_obj.post_call( @@ -2555,6 +2578,7 @@ def make_sync_call( streaming_response=response.iter_lines(), sync_stream=True, logging_obj=logging_obj, + response_headers=response.headers, ) # LOGGING @@ -3011,7 +3035,11 @@ class VertexLLM(VertexBase): class ModelResponseIterator: def __init__( - self, streaming_response, sync_stream: bool, logging_obj: LoggingClass + self, + streaming_response, + sync_stream: bool, + logging_obj: LoggingClass, + response_headers: Optional[Dict[str, str]] = None, ): from litellm.litellm_core_utils.prompt_templates.common_utils import ( check_is_function_call, @@ -3022,10 +3050,120 @@ class ModelResponseIterator: self.accumulated_json = "" self.sent_first_chunk = False self.logging_obj = logging_obj + self.response_headers = response_headers or {} self.is_function_call = check_is_function_call(logging_obj) self.cumulative_tool_call_index: int = 0 self.has_seen_tool_calls: bool = False + def _apply_stream_candidates( + self, + _candidates: List[Candidates], + model_response: Any, + ) -> Tuple[List[dict], List[dict], List[dict], List[dict]]: + ( + grounding_metadata, + url_context_metadata, + safety_ratings, + citation_metadata, + self.cumulative_tool_call_index, + ) = VertexGeminiConfig._process_candidates( + _candidates, + model_response, + self.logging_obj.optional_params, + cumulative_tool_call_index=self.cumulative_tool_call_index, + ) + + # Track whether tool_calls have been seen across streaming chunks. + # Gemini sends tool_calls and finishReason in separate chunks, + # so we need to remember if earlier chunks contained tool_calls + # to correctly set finish_reason="tool_calls" per the OpenAI spec. + if not self.has_seen_tool_calls: + for choice in model_response.choices: + if ( + hasattr(choice, "delta") + and choice.delta + and choice.delta.tool_calls + ): + self.has_seen_tool_calls = True + break + + # Handle final chunk with finishReason but no content. + # _process_candidates skips candidates without "content", + # so the finish_reason from the final chunk is lost. + if not model_response.choices and _candidates: + from litellm.types.utils import Delta, StreamingChoices + + for candidate in _candidates: + finish_reason_str = candidate.get("finishReason") + if finish_reason_str is not None: + if self.has_seen_tool_calls: + mapped_finish_reason = "tool_calls" + else: + mapped_finish_reason = VertexGeminiConfig._check_finish_reason( + None, finish_reason_str + ) + choice = StreamingChoices( + finish_reason=mapped_finish_reason, + index=candidate.get("index", 0), + delta=Delta(content=None, role=None), + logprobs=None, + enhancements=None, + ) + model_response.choices.append(choice) + + # Also handle the case where the final chunk has empty + # content (e.g. text:"") WITH finishReason. In this case + # _process_candidates DOES create a choice, but maps + # finishReason="STOP" to "stop" because the current chunk + # has no tool_calls. Override if we saw tool_calls earlier. + if self.has_seen_tool_calls: + for choice in model_response.choices: + if choice.finish_reason == "stop": + choice.finish_reason = "tool_calls" + + setattr(model_response, "vertex_ai_grounding_metadata", grounding_metadata) # type: ignore + setattr(model_response, "vertex_ai_url_context_metadata", url_context_metadata) # type: ignore + setattr(model_response, "vertex_ai_safety_ratings", safety_ratings) # type: ignore + setattr(model_response, "vertex_ai_citation_metadata", citation_metadata) # type: ignore + + return grounding_metadata, url_context_metadata, safety_ratings, citation_metadata + + def _apply_stream_usage_metadata( + self, + processed_chunk: Any, + model_response: Any, + grounding_metadata: List[dict], + ) -> Optional[Usage]: + if "usageMetadata" not in processed_chunk: + return None + + usage = VertexGeminiConfig._calculate_usage( + completion_response=processed_chunk, + ) + + web_search_requests = VertexGeminiConfig._calculate_web_search_requests( + grounding_metadata + ) + if web_search_requests is not None: + cast( + PromptTokensDetailsWrapper, usage.prompt_tokens_details + ).web_search_requests = web_search_requests + + traffic_type = processed_chunk.get("usageMetadata", {}).get("trafficType") + if traffic_type: + model_response._hidden_params.setdefault( + "provider_specific_fields", {} + )["traffic_type"] = traffic_type + + service_tier = self.response_headers.get("x-gemini-service-tier") + if service_tier: + if service_tier.lower() == "standard": + setattr(model_response, "service_tier", "default") + else: + setattr(model_response, "service_tier", service_tier.lower()) + + return usage + def chunk_parser(self, chunk: dict) -> Optional["ModelResponseStream"]: try: verbose_logger.debug(f"RAW GEMINI CHUNK: {chunk}") @@ -3043,101 +3181,23 @@ class ModelResponseIterator: if blocked_response is not None: model_response = blocked_response - usage: Optional[Usage] = None - _candidates: Optional[List[Candidates]] = processed_chunk.get("candidates") grounding_metadata: List[dict] = [] url_context_metadata: List[dict] = [] safety_ratings: List[dict] = [] citation_metadata: List[dict] = [] + + _candidates: Optional[List[Candidates]] = processed_chunk.get("candidates") if _candidates: ( grounding_metadata, url_context_metadata, safety_ratings, citation_metadata, - self.cumulative_tool_call_index, - ) = VertexGeminiConfig._process_candidates( - _candidates, - model_response, - self.logging_obj.optional_params, - cumulative_tool_call_index=self.cumulative_tool_call_index, - ) + ) = self._apply_stream_candidates(_candidates, model_response) - # Track whether tool_calls have been seen across streaming chunks. - # Gemini sends tool_calls and finishReason in separate chunks, - # so we need to remember if earlier chunks contained tool_calls - # to correctly set finish_reason="tool_calls" per the OpenAI spec. - if not self.has_seen_tool_calls: - for choice in model_response.choices: - if ( - hasattr(choice, "delta") - and choice.delta - and choice.delta.tool_calls - ): - self.has_seen_tool_calls = True - break - - # Handle final chunk with finishReason but no content. - # _process_candidates skips candidates without "content", - # so the finish_reason from the final chunk is lost. - if not model_response.choices and _candidates: - from litellm.types.utils import Delta, StreamingChoices - - for candidate in _candidates: - finish_reason_str = candidate.get("finishReason") - if finish_reason_str is not None: - if self.has_seen_tool_calls: - mapped_finish_reason = "tool_calls" - else: - mapped_finish_reason = ( - VertexGeminiConfig._check_finish_reason( - None, finish_reason_str - ) - ) - choice = StreamingChoices( - finish_reason=mapped_finish_reason, - index=candidate.get("index", 0), - delta=Delta(content=None, role=None), - logprobs=None, - enhancements=None, - ) - model_response.choices.append(choice) - - # Also handle the case where the final chunk has empty - # content (e.g. text:"") WITH finishReason. In this case - # _process_candidates DOES create a choice, but maps - # finishReason="STOP" to "stop" because the current chunk - # has no tool_calls. Override if we saw tool_calls earlier. - if self.has_seen_tool_calls: - for choice in model_response.choices: - if choice.finish_reason == "stop": - choice.finish_reason = "tool_calls" - - setattr(model_response, "vertex_ai_grounding_metadata", grounding_metadata) # type: ignore - setattr(model_response, "vertex_ai_url_context_metadata", url_context_metadata) # type: ignore - setattr(model_response, "vertex_ai_safety_ratings", safety_ratings) # type: ignore - setattr(model_response, "vertex_ai_citation_metadata", citation_metadata) # type: ignore - - if "usageMetadata" in processed_chunk: - usage = VertexGeminiConfig._calculate_usage( - completion_response=processed_chunk, - ) - - web_search_requests = VertexGeminiConfig._calculate_web_search_requests( - grounding_metadata - ) - if web_search_requests is not None: - cast( - PromptTokensDetailsWrapper, usage.prompt_tokens_details - ).web_search_requests = web_search_requests - - traffic_type = processed_chunk.get("usageMetadata", {}).get( - "trafficType" - ) - if traffic_type: - model_response._hidden_params.setdefault( - "provider_specific_fields", {} - )["traffic_type"] = traffic_type + usage = self._apply_stream_usage_metadata( + processed_chunk, model_response, grounding_metadata + ) setattr(model_response, "usage", usage) # type: ignore diff --git a/litellm/llms/vertex_ai/vertex_llm_base.py b/litellm/llms/vertex_ai/vertex_llm_base.py index cdabac27af7..68d8f0d046d 100644 --- a/litellm/llms/vertex_ai/vertex_llm_base.py +++ b/litellm/llms/vertex_ai/vertex_llm_base.py @@ -136,6 +136,11 @@ class VertexBase: json_obj, scopes=["https://www.googleapis.com/auth/cloud-platform"], ) + elif isinstance(credential_source, dict) and "executable" in credential_source: + creds = self._credentials_from_pluggable( + json_obj, + scopes=["https://www.googleapis.com/auth/cloud-platform"], + ) else: creds = self._credentials_from_identity_pool( json_obj, @@ -190,6 +195,17 @@ class VertexBase: creds = creds.with_scopes(scopes) return creds + def _credentials_from_pluggable(self, json_obj, scopes): + try: + from google.auth import pluggable + except ImportError: + raise ImportError(GOOGLE_IMPORT_ERROR_MESSAGE) + + creds = pluggable.Credentials.from_info(json_obj) + if scopes and hasattr(creds, "requires_scopes") and creds.requires_scopes: + creds = creds.with_scopes(scopes) + return creds + def _credentials_from_identity_pool_with_aws(self, json_obj, scopes): try: from google.auth import aws diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 8351f084f28..63ca003a26d 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -7818,14 +7818,16 @@ "cache_read_input_token_cost": 3e-08, "cache_creation_input_token_cost": 3.75e-07 }, - "bedrock/us-gov-east-1/claude-sonnet-4-5-20250929-v1:0": { - "input_cost_per_token": 3.6e-06, + "bedrock/us-gov-east-1/anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, "litellm_provider": "bedrock", "max_input_tokens": 200000, - "max_output_tokens": 4096, - "max_tokens": 4096, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.8e-05, + "output_cost_per_token": 1.65e-05, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -7835,8 +7837,28 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "cache_read_input_token_cost": 3.6e-07, - "cache_creation_input_token_cost": 4.5e-06 + "supports_native_structured_output": true + }, + "bedrock/us-gov-east-1/claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_native_structured_output": true }, "bedrock/us-gov-east-1/meta.llama3-70b-instruct-v1:0": { "input_cost_per_token": 2.65e-06, @@ -7969,14 +7991,16 @@ "cache_read_input_token_cost": 3e-08, "cache_creation_input_token_cost": 3.75e-07 }, - "bedrock/us-gov-west-1/claude-sonnet-4-5-20250929-v1:0": { - "input_cost_per_token": 3.6e-06, + "bedrock/us-gov-west-1/anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, "litellm_provider": "bedrock", "max_input_tokens": 200000, - "max_output_tokens": 4096, - "max_tokens": 4096, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.8e-05, + "output_cost_per_token": 1.65e-05, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -7986,8 +8010,28 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "cache_read_input_token_cost": 3.6e-07, - "cache_creation_input_token_cost": 4.5e-06 + "supports_native_structured_output": true + }, + "bedrock/us-gov-west-1/claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_native_structured_output": true }, "bedrock/us-gov-west-1/meta.llama3-70b-instruct-v1:0": { "input_cost_per_token": 2.65e-06, @@ -13695,7 +13739,8 @@ "supports_tool_choice": true, "supports_url_context": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-2.5-flash-image": { "cache_read_input_token_cost": 3e-08, @@ -13744,7 +13789,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": false, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini-3-pro-image-preview": { "input_cost_per_image": 0.0011, @@ -13778,7 +13824,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-3.1-flash-image-preview": { "input_cost_per_image": 0.00056, @@ -13861,7 +13908,8 @@ "supports_video_input": true, "supports_vision": true, "supports_web_search": true, - "supports_native_streaming": true + "supports_native_streaming": true, + "supports_service_tier": true }, "deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, @@ -13940,7 +13988,8 @@ "supports_tool_choice": true, "supports_url_context": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-2.5-flash-lite-preview-09-2025": { "cache_read_input_token_cost": 1e-08, @@ -14211,7 +14260,8 @@ "supports_tool_choice": true, "supports_video_input": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-3-pro-preview": { "deprecation_date": "2026-03-26", @@ -14993,7 +15043,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini/gemini-2.5-flash-image": { "cache_read_input_token_cost": 3e-08, @@ -15043,7 +15094,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini/gemini-3-pro-image-preview": { "input_cost_per_image": 0.0011, @@ -15079,7 +15131,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini/gemini-3.1-flash-image-preview": { "input_cost_per_token": 2.5e-07, @@ -15198,7 +15251,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 250000 + "tpm": 250000, + "supports_service_tier": true }, "gemini/gemini-2.5-flash-lite-preview-09-2025": { "cache_read_input_token_cost": 1e-08, @@ -15638,7 +15692,8 @@ "supports_vision": true, "supports_web_search": true, "supports_native_streaming": true, - "tpm": 250000 + "tpm": 250000, + "supports_service_tier": true }, "gemini/gemini-3-flash-preview": { "cache_read_input_token_cost": 5e-08, @@ -16879,6 +16934,72 @@ "mode": "chat", "output_cost_per_token": 1.2e-06 }, + "baseten/MiniMaxAI/MiniMax-M2.5": { + "input_cost_per_token": 3e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 1.2e-06 + }, + "baseten/nvidia/Nemotron-120B-A12B": { + "input_cost_per_token": 3e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 7.5e-07 + }, + "baseten/zai-org/GLM-5": { + "input_cost_per_token": 9.5e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 3.15e-06 + }, + "baseten/zai-org/GLM-4.7": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.2e-06 + }, + "baseten/zai-org/GLM-4.6": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.2e-06 + }, + "baseten/moonshotai/Kimi-K2.5": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 3e-06 + }, + "baseten/moonshotai/Kimi-K2-Thinking": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.5e-06 + }, + "baseten/moonshotai/Kimi-K2-Instruct-0905": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.5e-06 + }, + "baseten/openai/gpt-oss-120b": { + "input_cost_per_token": 1e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 5e-07 + }, + "baseten/deepseek-ai/DeepSeek-V3.1": { + "input_cost_per_token": 5e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 1.5e-06 + }, + "baseten/deepseek-ai/DeepSeek-V3-0324": { + "input_cost_per_token": 7.7e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 7.7e-07 + }, "gmi/Qwen/Qwen3-VL-235B-A22B-Instruct-FP8": { "input_cost_per_token": 3e-07, "litellm_provider": "gmi", @@ -28945,6 +29066,32 @@ "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true }, + "us-gov.anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "input_cost_per_token_above_200k_tokens": 6.6e-06, + "output_cost_per_token_above_200k_tokens": 2.475e-05, + "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06, + "cache_read_input_token_cost_above_200k_tokens": 6.6e-07, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "tool_use_system_prompt_tokens": 346, + "supports_native_structured_output": true + }, "au.anthropic.claude-haiku-4-5-20251001-v1:0": { "cache_creation_input_token_cost": 1.375e-06, "cache_read_input_token_cost": 1.1e-07, @@ -38057,4 +38204,4 @@ "supports_native_structured_output": true, "supports_pdf_input": true } -} +} \ No newline at end of file diff --git a/litellm/proxy/_experimental/mcp_server/db.py b/litellm/proxy/_experimental/mcp_server/db.py index fbef33c32ed..e9bd41bb951 100644 --- a/litellm/proxy/_experimental/mcp_server/db.py +++ b/litellm/proxy/_experimental/mcp_server/db.py @@ -21,7 +21,9 @@ from litellm.proxy.common_utils.encrypt_decrypt_utils import ( decrypt_value_helper, encrypt_value_helper, ) +from litellm.llms.custom_httpx.http_handler import get_async_httpx_client from litellm.proxy.utils import PrismaClient +from litellm.types.llms.custom_http import httpxSpecialProvider from litellm.types.mcp import MCPCredentials @@ -576,6 +578,7 @@ async def store_user_oauth_credential( refresh_token: Optional[str] = None, expires_in: Optional[int] = None, scopes: Optional[List[str]] = None, + skip_byok_guard: bool = False, ) -> None: """Persist an OAuth2 access token for a user+server pair. @@ -604,21 +607,26 @@ async def store_user_oauth_credential( # Guard against silently overwriting a BYOK credential with an OAuth token. # BYOK credentials lack a "type" field (or use a non-"oauth2" type). - existing = await prisma_client.db.litellm_mcpusercredentials.find_unique( - where={"user_id_server_id": {"user_id": user_id, "server_id": server_id}} - ) - if existing is not None: - _byok_error = ValueError( - f"A non-OAuth2 credential already exists for user {user_id} " - f"and server {server_id}. Refusing to overwrite." + # Skip the guard when the caller knows the row is already an OAuth2 credential + # (e.g. during token refresh), saving an extra DB round-trip. + if not skip_byok_guard: + existing = await prisma_client.db.litellm_mcpusercredentials.find_unique( + where={"user_id_server_id": {"user_id": user_id, "server_id": server_id}} ) - try: - raw = json.loads(base64.urlsafe_b64decode(existing.credential_b64).decode()) - except Exception: - # Credential is not base64+JSON — it's a plain-text BYOK key. - raise _byok_error - if raw.get("type") != "oauth2": - raise _byok_error + if existing is not None: + _byok_error = ValueError( + f"A non-OAuth2 credential already exists for user {user_id} " + f"and server {server_id}. Refusing to overwrite." + ) + try: + raw = json.loads( + base64.urlsafe_b64decode(existing.credential_b64).decode() + ) + except Exception: + # Credential is not base64+JSON — it's a plain-text BYOK key. + raise _byok_error + if raw.get("type") != "oauth2": + raise _byok_error encoded = base64.urlsafe_b64encode(json.dumps(payload).encode()).decode() await prisma_client.db.litellm_mcpusercredentials.upsert( @@ -697,6 +705,115 @@ async def list_user_oauth_credentials( return results +async def refresh_user_oauth_token( + prisma_client: PrismaClient, + user_id: str, + server: Any, + cred: Dict[str, Any], +) -> Optional[Dict[str, Any]]: + """Attempt to refresh a per-user OAuth2 token using its stored refresh_token. + + POSTs to ``server.token_url`` with ``grant_type=refresh_token``. + + On success: persists the new credential via ``store_user_oauth_credential`` + and returns the updated payload dict. + On failure (network error, invalid_grant, missing refresh_token, …): logs a + warning and returns ``None`` — the caller is responsible for clearing the + stale credential and triggering re-authentication. + """ + refresh_token: Optional[str] = cred.get("refresh_token") + token_url: Optional[str] = getattr(server, "token_url", None) + server_id: str = getattr(server, "server_id", "") + client_id: Optional[str] = getattr(server, "client_id", None) + client_secret: Optional[str] = getattr(server, "client_secret", None) + + if not refresh_token: + verbose_proxy_logger.debug( + "refresh_user_oauth_token: no refresh_token stored for user=%s server=%s", + user_id, + server_id, + ) + return None + if not token_url: + verbose_proxy_logger.debug( + "refresh_user_oauth_token: server=%s has no token_url configured", + server_id, + ) + return None + + token_data: Dict[str, str] = { + "grant_type": "refresh_token", + "refresh_token": refresh_token, + } + if client_id: + token_data["client_id"] = client_id + if client_secret: + token_data["client_secret"] = client_secret + + try: + async_client = get_async_httpx_client( + llm_provider=httpxSpecialProvider.Oauth2Check + ) + response = await async_client.post( + token_url, + headers={"Accept": "application/json"}, + data=token_data, + ) + response.raise_for_status() + body: Dict[str, Any] = response.json() + except Exception as exc: + verbose_proxy_logger.warning( + "refresh_user_oauth_token: refresh request failed for user=%s server=%s: %s", + user_id, + server_id, + exc, + ) + return None + + access_token: Optional[str] = body.get("access_token") + if not access_token: + verbose_proxy_logger.warning( + "refresh_user_oauth_token: token response missing access_token for " + "user=%s server=%s", + user_id, + server_id, + ) + return None + + expires_in: Optional[int] = None + raw_expires = body.get("expires_in") + try: + expires_in = int(raw_expires) if raw_expires is not None else None + except (TypeError, ValueError): + pass + + # Rotate refresh token when the provider returns a new one + new_refresh_token: Optional[str] = body.get("refresh_token") or refresh_token + + raw_scope = body.get("scope") + scopes: Optional[List[str]] = ( + raw_scope.split() if isinstance(raw_scope, str) and raw_scope else None + ) or cred.get("scopes") + + await store_user_oauth_credential( + prisma_client=prisma_client, + user_id=user_id, + server_id=server_id, + access_token=access_token, + refresh_token=new_refresh_token, + expires_in=expires_in, + scopes=scopes, + skip_byok_guard=True, # Row is already OAuth2; skip the extra find_unique check + ) + + verbose_proxy_logger.info( + "refresh_user_oauth_token: refreshed token for user=%s server=%s", + user_id, + server_id, + ) + return await get_user_oauth_credential(prisma_client, user_id, server_id) + + async def approve_mcp_server( prisma_client: PrismaClient, server_id: str, diff --git a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py index 07309eb57f2..d0d61986322 100644 --- a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py @@ -1,10 +1,11 @@ import json -from typing import Optional +from typing import Any, Dict, Optional from urllib.parse import parse_qsl, urlencode, urlparse, urlunparse from fastapi import APIRouter, Form, HTTPException, Request from fastapi.responses import HTMLResponse, JSONResponse, RedirectResponse +from litellm._logging import verbose_logger from litellm.llms.custom_httpx.http_handler import ( get_async_httpx_client, httpxSpecialProvider, @@ -147,6 +148,160 @@ def _resolve_oauth2_server_for_root_endpoints( return None +def _validate_token_response( + token_response: Dict[str, Any], + validation_rules: Dict[str, Any], + server_id: str, +) -> None: + """Raise HTTPException 403 if any validation rule doesn't match the token response. + + Supports dot-notation for nested fields (e.g. ``"team.enterprise_id"`` checks + ``token_response["team"]["enterprise_id"]``). Top-level keys are tried first, + then dot-split traversal. All comparisons are string-coerced so that numeric + values in the response (e.g. ``"org_id": 12345``) match string rules + (``"org_id": "12345"``). + """ + for key, expected in validation_rules.items(): + actual: Any = token_response.get(key) + # Try dot-notation traversal when top-level lookup returns None + if actual is None and "." in key: + obj: Any = token_response + for part in key.split("."): + if isinstance(obj, dict): + obj = obj.get(part) + else: + obj = None + break + actual = obj + # Treat absent fields as a distinct failure from a mismatched value + if actual is None: + raise HTTPException( + status_code=403, + detail={ + "error": "token_validation_failed", + "server_id": server_id, + "field": key, + "message": ( + f"OAuth token rejected: required field '{key}' is absent" + ), + }, + ) + if str(actual) != str(expected): + raise HTTPException( + status_code=403, + detail={ + "error": "token_validation_failed", + "server_id": server_id, + "field": key, + "message": ( + f"OAuth token rejected: '{key}' = '{actual}', " + f"expected '{expected}'" + ), + }, + ) + + +async def _extract_user_id_from_request(request: Request) -> Optional[str]: + """Best-effort extraction of LiteLLM user_id from the request's Authorization header. + + Called at the OAuth token endpoint so that per-user tokens can be stored + server-side. Uses a read-only cache lookup to avoid re-running the full + auth pipeline (which has side effects such as rate-limit increments and + spend logging). Returns ``None`` if no cached credential is found. + """ + auth_header = request.headers.get("Authorization") or request.headers.get( + "authorization" + ) + if not auth_header: + return None + lower = auth_header.lower() + if not lower.startswith("bearer "): + return None + token = auth_header[7:].strip() + try: + from litellm.proxy._types import hash_token # noqa: PLC0415 + from litellm.proxy.proxy_server import user_api_key_cache # noqa: PLC0415 + + cached = await user_api_key_cache.async_get_cache(hash_token(token)) + return getattr(cached, "user_id", None) + except Exception: + return None + + +async def _store_per_user_token_server_side( + server: MCPServer, + user_id: str, + token_response: Dict[str, Any], +) -> None: + """Persist the OAuth token server-side and warm the Redis cache. + + Called from the token endpoint after a successful code exchange or refresh. + Errors are logged but NOT re-raised — the token is always returned to the + client even when server-side storage fails. + """ + from litellm.proxy._experimental.mcp_server.oauth2_token_cache import ( # noqa: PLC0415 + _compute_per_user_token_ttl, + mcp_per_user_token_cache, + ) + from litellm.proxy.utils import get_prisma_client_or_throw # noqa: PLC0415 + + access_token: Optional[str] = token_response.get("access_token") + if not access_token: + return + + raw_expires = token_response.get("expires_in") + try: + expires_in: Optional[int] = int(raw_expires) if raw_expires is not None else None + except (TypeError, ValueError): + expires_in = None + + refresh_token: Optional[str] = token_response.get("refresh_token") or None + raw_scope = token_response.get("scope") + scopes: Optional[list] = ( + raw_scope.split() if isinstance(raw_scope, str) and raw_scope else None + ) + + try: + prisma_client = get_prisma_client_or_throw( + "Database not connected. Cannot store per-user OAuth token." + ) + from litellm.proxy._experimental.mcp_server.db import ( # noqa: PLC0415 + store_user_oauth_credential, + ) + + await store_user_oauth_credential( + prisma_client=prisma_client, + user_id=user_id, + server_id=server.server_id, + access_token=access_token, + refresh_token=refresh_token, + expires_in=expires_in, + scopes=scopes, + ) + verbose_logger.info( + "_store_per_user_token_server_side: stored token for user=%s server=%s", + user_id, + server.server_id, + ) + except Exception as exc: + verbose_logger.warning( + "_store_per_user_token_server_side: DB storage failed for user=%s server=%s: %s", + user_id, + server.server_id, + exc, + ) + return # Don't warm Redis if DB write failed + + # Warm the Redis cache so the first subsequent MCP call is a cache hit + ttl = _compute_per_user_token_ttl(server, expires_in) + await mcp_per_user_token_cache.set( + user_id=user_id, + server_id=server.server_id, + access_token=access_token, + ttl=ttl, + ) + + async def authorize_with_server( request: Request, mcp_server: MCPServer, @@ -266,6 +421,44 @@ async def exchange_token_with_server( token_response = response.json() access_token = token_response["access_token"] + # Validate token response against server-configured rules before any storage. + # This rejects tokens from wrong Slack workspaces, Atlassian orgs, etc. + if mcp_server.token_validation and isinstance(mcp_server.token_validation, dict): + _validate_token_response( + token_response=token_response, + validation_rules=mcp_server.token_validation, + server_id=mcp_server.server_id, + ) + + # Store server-side when the server is configured for per-user OAuth and + # the calling client has provided a valid LiteLLM identity. + # Errors are non-fatal: the token is still returned to the client. + if mcp_server.needs_user_oauth_token: + user_id = await _extract_user_id_from_request(request) + if user_id: + try: + await _store_per_user_token_server_side( + server=mcp_server, + user_id=user_id, + token_response=token_response, + ) + except Exception as exc: + verbose_logger.warning( + "exchange_token_with_server: server-side storage failed " + "for user=%s server=%s: %s", + user_id, + mcp_server.server_id, + exc, + ) + else: + verbose_logger.debug( + "exchange_token_with_server: no LiteLLM user_id found in request; " + "per-user token for server=%s will not be stored server-side. " + "The client should call POST /mcp/server/{id}/oauth-user-credential " + "to store it manually.", + mcp_server.server_id, + ) + result = { "access_token": access_token, "token_type": token_response.get("token_type", "Bearer"), diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py index 7b87e7e7e61..8d3831e75fb 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py @@ -10,6 +10,7 @@ import asyncio import datetime import hashlib import json +import os import re from typing import Any, Callable, Dict, List, Literal, Optional, Set, Tuple, Union, cast from urllib.parse import urlparse @@ -35,6 +36,8 @@ from litellm.constants import ( MCP_CLIENT_TIMEOUT, MCP_HEALTH_CHECK_TIMEOUT, MCP_METADATA_TIMEOUT, + MCP_NPM_CACHE_DIR, + MCP_STDIO_ALLOWED_COMMANDS, MCP_TOOL_LISTING_TIMEOUT, ) from litellm.exceptions import BlockedPiiEntityError, GuardrailRaisedException @@ -1119,9 +1122,19 @@ class MCPServerManager: # In containers the default (~/.npm or /app/.npm) may not exist # or be read-only, causing npx to fail with ENOENT. if "NPM_CONFIG_CACHE" not in resolved_env: - from litellm.constants import MCP_NPM_CACHE_DIR - resolved_env["NPM_CONFIG_CACHE"] = MCP_NPM_CACHE_DIR + # Defense-in-depth: block commands not in the allowlist. + # The Pydantic validator blocks new servers; this catches legacy + # config/DB records predating the allowlist. + if server.command: + base_command = os.path.basename(server.command) + if base_command not in MCP_STDIO_ALLOWED_COMMANDS: + raise HTTPException( + status_code=403, + detail=f"MCP stdio command '{server.command}' is not in the allowlist ({sorted(MCP_STDIO_ALLOWED_COMMANDS)}). " + f"Add it to LITELLM_MCP_STDIO_EXTRA_COMMANDS to allow this command.", + ) + stdio_config: Optional[MCPStdioConfig] = None if server.command and server.args is not None: stdio_config = MCPStdioConfig( @@ -2442,6 +2455,37 @@ class MCPServerManager: ) tasks.append(during_hook_task) + # For per-user OAuth servers: if the client didn't supply a token in + # oauth2_headers, look up the stored token from Redis / DB. This is the + # call_tool equivalent of _get_user_oauth_extra_headers_from_db used in + # list_tools. + if ( + mcp_server.needs_user_oauth_token + and not oauth2_headers + and user_api_key_auth is not None + ): + user_id = getattr(user_api_key_auth, "user_id", None) + if user_id: + try: + from litellm.proxy._experimental.mcp_server.server import ( # noqa: PLC0415 + _get_user_oauth_extra_headers_from_db, + ) + + stored_headers = await _get_user_oauth_extra_headers_from_db( + server=mcp_server, + user_api_key_auth=user_api_key_auth, + ) + if stored_headers: + oauth2_headers = stored_headers + except Exception as _lookup_exc: + verbose_logger.debug( + "call_tool: per-user token lookup failed for " + "user=%s server=%s: %s", + user_id, + mcp_server.server_id, + _lookup_exc, + ) + # For OpenAPI servers, call the tool handler directly instead of via MCP client if mcp_server.spec_path: verbose_logger.debug( diff --git a/litellm/proxy/_experimental/mcp_server/oauth2_token_cache.py b/litellm/proxy/_experimental/mcp_server/oauth2_token_cache.py index 84a2e94467b..476e215666e 100644 --- a/litellm/proxy/_experimental/mcp_server/oauth2_token_cache.py +++ b/litellm/proxy/_experimental/mcp_server/oauth2_token_cache.py @@ -17,8 +17,15 @@ from litellm.constants import ( MCP_OAUTH2_TOKEN_CACHE_MAX_SIZE, MCP_OAUTH2_TOKEN_CACHE_MIN_TTL, MCP_OAUTH2_TOKEN_EXPIRY_BUFFER_SECONDS, + MCP_PER_USER_TOKEN_DEFAULT_TTL, + MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS, + MCP_PER_USER_TOKEN_REDIS_KEY_PREFIX, ) from litellm.llms.custom_httpx.http_handler import get_async_httpx_client +from litellm.proxy.common_utils.encrypt_decrypt_utils import ( + decrypt_value_helper, + encrypt_value_helper, +) from litellm.types.llms.custom_http import httpxSpecialProvider if TYPE_CHECKING: @@ -152,6 +159,107 @@ class MCPOAuth2TokenCache(InMemoryCache): mcp_oauth2_token_cache = MCPOAuth2TokenCache() +def _compute_per_user_token_ttl(server: "MCPServer", expires_in: Optional[int]) -> int: + """Compute Redis TTL for a per-user token. + + Uses server.token_storage_ttl_seconds when configured; otherwise derives + TTL from expires_in minus the expiry buffer; falls back to the default TTL. + """ + if server.token_storage_ttl_seconds is not None: + return max(server.token_storage_ttl_seconds, 1) + if expires_in is not None: + return max( + expires_in - MCP_PER_USER_TOKEN_EXPIRY_BUFFER_SECONDS, + 1, + ) + return MCP_PER_USER_TOKEN_DEFAULT_TTL + + +class MCPPerUserTokenCache: + """Redis-backed cache for per-user OAuth2 access tokens. + + Uses LiteLLM's existing ``user_api_key_cache`` (DualCache with optional + Redis backend). Tokens are NaCl-encrypted with ``encrypt_value_helper`` + before storage so they are safe at rest in Redis. + + Redis key format: ``mcp:per_user_token:{user_id}:{server_id}`` + Redis value: ``encrypt_value_helper(access_token)`` — URL-safe base64 + """ + + def _cache_key(self, user_id: str, server_id: str) -> str: + return f"{MCP_PER_USER_TOKEN_REDIS_KEY_PREFIX}:{user_id}:{server_id}" + + async def get(self, user_id: str, server_id: str) -> Optional[str]: + """Return the plaintext access_token, or None on miss/error.""" + try: + from litellm.proxy.proxy_server import user_api_key_cache # noqa: PLC0415 + + key = self._cache_key(user_id, server_id) + encrypted = await user_api_key_cache.async_get_cache(key) + if encrypted is None: + return None + plaintext = decrypt_value_helper( + encrypted, + key="mcp_per_user_token", + exception_type="debug", + ) + return plaintext or None + except Exception as exc: + verbose_logger.debug( + "MCPPerUserTokenCache.get failed for user=%s server=%s: %s", + user_id, + server_id, + exc, + ) + return None + + async def set( + self, + user_id: str, + server_id: str, + access_token: str, + ttl: int, + ) -> None: + """Store NaCl-encrypted access_token in Redis with the given TTL.""" + try: + from litellm.proxy.proxy_server import user_api_key_cache # noqa: PLC0415 + + key = self._cache_key(user_id, server_id) + encrypted = encrypt_value_helper(access_token) + await user_api_key_cache.async_set_cache(key, encrypted, ttl=ttl) + verbose_logger.debug( + "MCPPerUserTokenCache.set: cached token for user=%s server=%s ttl=%ds", + user_id, + server_id, + ttl, + ) + except Exception as exc: + verbose_logger.debug( + "MCPPerUserTokenCache.set failed for user=%s server=%s: %s", + user_id, + server_id, + exc, + ) + + async def delete(self, user_id: str, server_id: str) -> None: + """Invalidate the cached token (removes from both in-memory and Redis layers).""" + try: + from litellm.proxy.proxy_server import user_api_key_cache # noqa: PLC0415 + + key = self._cache_key(user_id, server_id) + await user_api_key_cache.async_delete_cache(key) + except Exception as exc: + verbose_logger.debug( + "MCPPerUserTokenCache.delete failed for user=%s server=%s: %s", + user_id, + server_id, + exc, + ) + + +mcp_per_user_token_cache = MCPPerUserTokenCache() + + async def resolve_mcp_auth( server: "MCPServer", mcp_auth_header: Optional[Union[str, Dict[str, str]]] = None, diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py index c0151d47e04..32560a2211d 100644 --- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py @@ -2,14 +2,14 @@ import importlib from datetime import datetime from typing import Any, Awaitable, Callable, Dict, List, Literal, Optional, Set, Union -from fastapi import APIRouter, Depends, HTTPException, Query, Request +from fastapi import APIRouter, Depends, HTTPException, Query, Request, status from litellm._logging import verbose_logger from litellm.proxy._experimental.mcp_server.ui_session_utils import ( build_effective_auth_contexts, ) from litellm.proxy._experimental.mcp_server.utils import merge_mcp_headers -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth from litellm.proxy.auth.ip_address_utils import IPAddressUtils from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_utils.http_parsing_utils import _safe_get_request_headers @@ -1027,6 +1027,13 @@ if MCP_AVAILABLE: """ Test if we can connect to the provided MCP server before adding it """ + if LitellmUserRoles.PROXY_ADMIN != user_api_key_dict.user_role: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "User does not have permission to test MCP server connections. Only PROXY_ADMIN users can perform this action." + }, + ) async def _test_connection_operation(client): async def _noop(session): @@ -1041,7 +1048,7 @@ if MCP_AVAILABLE: raw_headers=_safe_get_request_headers(request), ) - @router.post("/test/tools/list") + @router.post("/test/tools/list", dependencies=[Depends(user_api_key_auth)]) async def test_tools_list( request: Request, new_mcp_server_request: NewMCPServerRequest, @@ -1050,6 +1057,14 @@ if MCP_AVAILABLE: """ Preview tools available from MCP server before adding it """ + if LitellmUserRoles.PROXY_ADMIN != user_api_key_dict.user_role: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "User does not have permission to test MCP server tools. Only PROXY_ADMIN users can perform this action." + }, + ) + # For OpenAPI spec servers, generate tools from the spec directly if new_mcp_server_request.spec_path: return await _preview_openapi_tools(new_mcp_server_request.spec_path) diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py index 7fc28b68e9c..99578d006e1 100644 --- a/litellm/proxy/_experimental/mcp_server/server.py +++ b/litellm/proxy/_experimental/mcp_server/server.py @@ -896,11 +896,17 @@ if MCP_AVAILABLE: user_api_key_auth: Optional[UserAPIKeyAuth], prefetched_creds: Optional[Dict[str, Dict[str, Any]]] = None, ) -> Optional[Dict[str, str]]: - """Look up stored OAuth2 token for (user, server) from DB and return as extra_headers dict. + """Look up stored OAuth2 token for (user, server) and return as extra_headers dict. + + Lookup order: + 1. Redis cache (fast path, NaCl-decrypted) — skipped when prefetched_creds supplied + 2. prefetched_creds dict (pre-fetched batch DB query) or fresh DB query + 3. Auto-refresh when the stored token is expired and a refresh_token exists Args: prefetched_creds: Optional dict keyed by server_id with credential payloads. - When provided, avoids a per-server DB round-trip. + When provided, the Redis and individual DB lookups are + skipped in favour of the pre-fetched batch result. """ if server.auth_type != MCPAuth.oauth2: return None @@ -914,8 +920,27 @@ if MCP_AVAILABLE: from litellm.proxy._experimental.mcp_server.db import ( # noqa: PLC0415 get_user_oauth_credential, is_oauth_credential_expired, + refresh_user_oauth_token, + ) + from litellm.proxy._experimental.mcp_server.oauth2_token_cache import ( # noqa: PLC0415 + _compute_per_user_token_ttl, + mcp_per_user_token_cache, ) + # ── Fast path: Redis cache ──────────────────────────────────────── + # Only used when prefetched_creds is not supplied (individual lookup). + if prefetched_creds is None: + cached_token = await mcp_per_user_token_cache.get(user_id, server_id) + if cached_token is not None: + verbose_logger.debug( + "_get_user_oauth_extra_headers_from_db: Redis hit for " + "user=%s server=%s", + user_id, + server_id, + ) + return {"Authorization": f"Bearer {cached_token}"} + + # ── Slow path: DB lookup ────────────────────────────────────────── if prefetched_creds is not None: cred = prefetched_creds.get(server_id) else: @@ -929,18 +954,83 @@ if MCP_AVAILABLE: cred = await get_user_oauth_credential( prisma_client, user_id, server_id ) - if cred and cred.get("access_token"): - if is_oauth_credential_expired(cred): - verbose_logger.debug( - f"_get_user_oauth_extra_headers_from_db: token expired for " - f"user={user_id} server={server_id}" - ) + + if not cred or not cred.get("access_token"): + return None + + if is_oauth_credential_expired(cred): + verbose_logger.debug( + "_get_user_oauth_extra_headers_from_db: token expired for " + "user=%s server=%s — attempting refresh", + user_id, + server_id, + ) + # Attempt token refresh; requires a DB client (not available from prefetch) + if cred.get("refresh_token"): + try: + from litellm.proxy.utils import ( # noqa: PLC0415 + get_prisma_client_or_throw, + ) + + prisma_client = get_prisma_client_or_throw( + "Database not connected. Cannot refresh OAuth token." + ) + cred = await refresh_user_oauth_token( + prisma_client=prisma_client, + user_id=user_id, + server=server, + cred=cred, + ) + except Exception as refresh_exc: + verbose_logger.warning( + "_get_user_oauth_extra_headers_from_db: refresh failed " + "for user=%s server=%s: %s", + user_id, + server_id, + refresh_exc, + ) + cred = None + + if not cred or not cred.get("access_token"): + # Clear stale Redis/cache entry so we don't serve it again. + # Do this for both the individual and prefetch paths so the + # next request doesn't get a stale cache hit. + await mcp_per_user_token_cache.delete(user_id, server_id) return None - return {"Authorization": f"Bearer {cred['access_token']}"} + + access_token: str = cred["access_token"] + + # Warm (or re-warm) the Redis cache from the DB result. + # Always write regardless of whether expires_at is present — tokens + # without an expiry are still valid and should be cached using the + # server/default TTL so subsequent requests are fast. + if prefetched_creds is None: + raw_expires = None + expires_at = cred.get("expires_at") + if expires_at: + from datetime import datetime, timezone # noqa: PLC0415 + + try: + exp_dt = datetime.fromisoformat(expires_at) + if exp_dt.tzinfo is None: + exp_dt = exp_dt.replace(tzinfo=timezone.utc) + remaining = int( + (exp_dt - datetime.now(timezone.utc)).total_seconds() + ) + raw_expires = max(remaining, 0) if remaining > 0 else None + except (ValueError, TypeError): + pass + ttl = _compute_per_user_token_ttl(server, raw_expires) + await mcp_per_user_token_cache.set(user_id, server_id, access_token, ttl) + + return {"Authorization": f"Bearer {access_token}"} except Exception as e: verbose_logger.warning( - f"_get_user_oauth_extra_headers_from_db: failed to retrieve credential for " - f"user={user_id} server={server_id}: {e}" + "_get_user_oauth_extra_headers_from_db: failed to retrieve credential for " + "user=%s server=%s: %s", + user_id, + server_id, + e, ) return None @@ -2504,6 +2594,14 @@ if MCP_AVAILABLE: server_name, client_ip=_client_ip ) if server and server.auth_type == MCPAuth.oauth2 and not oauth2_headers: + # For servers that store per-user tokens server-side, skip the + # pre-emptive 401 — the call_tool / list_tools dispatch will look + # up the stored token from Redis / DB and only fail at the MCP + # protocol level if none is found, giving the client a proper + # tool-execution error rather than an HTTP 401. + if server.needs_user_oauth_token: + continue + request = StarletteRequest(scope) base_url = get_request_base_url(request) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index ff296e68b61..7523a3ad01a 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -1,5 +1,6 @@ import enum import json +import os from datetime import datetime from typing import TYPE_CHECKING, Any, Callable, Dict, List, Literal, Optional, Union @@ -15,6 +16,7 @@ from pydantic import ( from typing_extensions import Required, TypedDict from litellm._uuid import uuid +from litellm.constants import MCP_STDIO_ALLOWED_COMMANDS from litellm.types.integrations.slack_alerting import AlertType from litellm.types.llms.openai import ( AllMessageValues, @@ -492,10 +494,12 @@ class LiteLLMRoutes(enum.Enum): "/v2/key/info", "/model_group/info", "/health", + "/health/services", "/key/list", "/user/filter/ui", "/models", "/v1/models", + "/sso/get/ui_settings", ] # NOTE: ROUTES ONLY FOR MASTER KEY - only the Master Key should be able to Reset Spend @@ -564,6 +568,8 @@ class LiteLLMRoutes(enum.Enum): "/spend/tags", "/spend/calculate", "/spend/logs", + "/spend/logs/ui", + "/spend/logs/session/ui", "/cost/estimate", ] @@ -579,6 +585,7 @@ class LiteLLMRoutes(enum.Enum): "/global/spend/report", "/global/spend/provider", "/global/spend/tags", + "/global/spend/all_tag_names", ] public_routes = set( @@ -601,6 +608,9 @@ class LiteLLMRoutes(enum.Enum): ] ) + # Retained for backwards compatibility with JWT auth configs that reference + # "ui_routes" in admin_allowed_routes. Not used by the proxy's own route + # authorization — UI tokens now go through the same RBAC path as API tokens. ui_routes = [ "/sso", "/sso/get/ui_settings", @@ -626,19 +636,16 @@ class LiteLLMRoutes(enum.Enum): internal_user_routes = ( [ - "/global/spend/tags", - "/global/spend/keys", - "/global/spend/models", - "/global/spend/provider", - "/global/spend/end_users", "/global/activity", "/global/activity/model", + "/global/activity/cache_hits", "/v1/models/{model_id}", "/models/{model_id}", "/guardrails/list", "/v2/guardrails/list", ] + spend_tracking_routes + + global_spend_tracking_routes + key_management_routes ) @@ -693,6 +700,9 @@ class LiteLLMRoutes(enum.Enum): "/tag/list", "/audit", "/audit/{id}", + "/global/activity", + "/global/activity/model", + "/global/activity/cache_hits", ] + info_routes # All routes accesible by an Org Admin @@ -902,9 +912,9 @@ class GenerateRequestBase(LiteLLMPydanticObjectBase): allowed_cache_controls: Optional[list] = [] config: Optional[dict] = {} permissions: Optional[dict] = {} - model_max_budget: Optional[dict] = ( - {} - ) # {"gpt-4": 5.0, "gpt-3.5-turbo": 5.0}, defaults to {} + model_max_budget: Optional[ + dict + ] = {} # {"gpt-4": 5.0, "gpt-3.5-turbo": 5.0}, defaults to {} model_config = ConfigDict(protected_namespaces=()) model_rpm_limit: Optional[dict] = None @@ -1047,9 +1057,9 @@ class RegenerateKeyRequest(GenerateKeyRequest): spend: Optional[float] = None metadata: Optional[dict] = None new_master_key: Optional[str] = None - grace_period: Optional[str] = ( - None # Duration to keep old key valid (e.g. "24h", "2d"); None = immediate revoke - ) + grace_period: Optional[ + str + ] = None # Duration to keep old key valid (e.g. "24h", "2d"); None = immediate revoke class ResetSpendRequest(LiteLLMPydanticObjectBase): @@ -1175,6 +1185,13 @@ class NewMCPServerRequest(LiteLLMPydanticObjectBase): raise ValueError("command is required for stdio transport") if not values.get("args"): raise ValueError("args is required for stdio transport") + # Validate command against allowlist to prevent arbitrary execution + base_command = os.path.basename(values["command"]) + if base_command not in MCP_STDIO_ALLOWED_COMMANDS: + raise ValueError( + f"Command '{values['command']}' is not in the allowed commands list " + f"for stdio transport. Allowed commands: {sorted(MCP_STDIO_ALLOWED_COMMANDS)}" + ) elif transport in [MCPTransport.http, MCPTransport.sse]: if not values.get("url") and not values.get("spec_path"): raise ValueError( @@ -1235,6 +1252,13 @@ class UpdateMCPServerRequest(LiteLLMPydanticObjectBase): raise ValueError("command is required for stdio transport") if not values.get("args"): raise ValueError("args is required for stdio transport") + # Validate command against allowlist to prevent arbitrary execution + base_command = os.path.basename(values["command"]) + if base_command not in MCP_STDIO_ALLOWED_COMMANDS: + raise ValueError( + f"Command '{values['command']}' is not in the allowed commands list " + f"for stdio transport. Allowed commands: {sorted(MCP_STDIO_ALLOWED_COMMANDS)}" + ) elif transport in [MCPTransport.http, MCPTransport.sse]: if not values.get("url") and not values.get("spec_path"): raise ValueError( @@ -1559,12 +1583,12 @@ class NewCustomerRequest(BudgetNewRequest): blocked: bool = False # allow/disallow requests for this end-user budget_id: Optional[str] = None # give either a budget_id or max_budget spend: Optional[float] = None - allowed_model_region: Optional[AllowedModelRegion] = ( - None # require all user requests to use models in this specific region - ) - default_model: Optional[str] = ( - None # if no equivalent model in allowed region - default all requests to this model - ) + allowed_model_region: Optional[ + AllowedModelRegion + ] = None # require all user requests to use models in this specific region + default_model: Optional[ + str + ] = None # if no equivalent model in allowed region - default all requests to this model object_permission: Optional[LiteLLM_ObjectPermissionBase] = None @model_validator(mode="before") @@ -1587,12 +1611,12 @@ class UpdateCustomerRequest(LiteLLMPydanticObjectBase): blocked: bool = False # allow/disallow requests for this end-user max_budget: Optional[float] = None budget_id: Optional[str] = None # give either a budget_id or max_budget - allowed_model_region: Optional[AllowedModelRegion] = ( - None # require all user requests to use models in this specific region - ) - default_model: Optional[str] = ( - None # if no equivalent model in allowed region - default all requests to this model - ) + allowed_model_region: Optional[ + AllowedModelRegion + ] = None # require all user requests to use models in this specific region + default_model: Optional[ + str + ] = None # if no equivalent model in allowed region - default all requests to this model object_permission: Optional[LiteLLM_ObjectPermissionBase] = None @@ -1688,15 +1712,15 @@ class NewTeamRequest(TeamBase): ] = None # raise an error if 'guaranteed_throughput' is set and we're overallocating tpm model_tpm_limit: Optional[Dict[str, int]] = None - team_member_budget: Optional[float] = ( - None # allow user to set a budget for all team members - ) - team_member_rpm_limit: Optional[int] = ( - None # allow user to set RPM limit for all team members - ) - team_member_tpm_limit: Optional[int] = ( - None # allow user to set TPM limit for all team members - ) + team_member_budget: Optional[ + float + ] = None # allow user to set a budget for all team members + team_member_rpm_limit: Optional[ + int + ] = None # allow user to set RPM limit for all team members + team_member_tpm_limit: Optional[ + int + ] = None # allow user to set TPM limit for all team members team_member_key_duration: Optional[str] = None # e.g. "1d", "1w", "1m" team_member_budget_duration: Optional[str] = None # e.g. "30d", "1mo" allowed_vector_store_indexes: Optional[List[AllowedVectorStoreIndexItem]] = None @@ -1799,9 +1823,9 @@ class BlockKeyRequest(LiteLLMPydanticObjectBase): class AddTeamCallback(LiteLLMPydanticObjectBase): callback_name: str - callback_type: Optional[Literal["success", "failure", "success_and_failure"]] = ( - "success_and_failure" - ) + callback_type: Optional[ + Literal["success", "failure", "success_and_failure"] + ] = "success_and_failure" callback_vars: Dict[str, str] @model_validator(mode="before") @@ -2147,9 +2171,9 @@ class ConfigList(LiteLLMPydanticObjectBase): stored_in_db: Optional[bool] field_default_value: Any premium_field: bool = False - nested_fields: Optional[List[FieldDetail]] = ( - None # For nested dictionary or Pydantic fields - ) + nested_fields: Optional[ + List[FieldDetail] + ] = None # For nested dictionary or Pydantic fields class UserHeaderMapping(LiteLLMPydanticObjectBase): @@ -2449,6 +2473,7 @@ class LiteLLM_VerificationTokenView(LiteLLM_VerificationToken): end_user_model_max_budget: Optional[dict] = None # Organization Params + organization_alias: Optional[str] = None organization_max_budget: Optional[float] = None organization_tpm_limit: Optional[int] = None organization_rpm_limit: Optional[int] = None @@ -2508,9 +2533,9 @@ class UserAPIKeyAuth( user_max_budget: Optional[float] = None request_route: Optional[str] = None user: Optional[Any] = None # Expanded user object when expand=user is used - created_by_user: Optional[Any] = ( - None # Expanded created_by user when expand=user is used - ) + created_by_user: Optional[ + Any + ] = None # Expanded created_by user when expand=user is used end_user_object_permission: Optional[LiteLLM_ObjectPermissionTable] = None # Decoded upstream IdP claims (groups, roles, etc.) propagated by JWT auth machinery # and forwarded into outbound tokens by guardrails such as MCPJWTSigner. @@ -2649,9 +2674,9 @@ class LiteLLM_OrganizationMembershipTable(LiteLLMPydanticObjectBase): budget_id: Optional[str] = None created_at: datetime updated_at: datetime - user: Optional[Any] = ( - None # You might want to replace 'Any' with a more specific type if available - ) + user: Optional[ + Any + ] = None # You might want to replace 'Any' with a more specific type if available litellm_budget_table: Optional[LiteLLM_BudgetTable] = None user_email: Optional[str] = None @@ -3815,9 +3840,9 @@ class TeamModelDeleteRequest(BaseModel): # Organization Member Requests class OrganizationMemberAddRequest(OrgMemberAddRequest): organization_id: str - max_budget_in_organization: Optional[float] = ( - None # Users max budget within the organization - ) + max_budget_in_organization: Optional[ + float + ] = None # Users max budget within the organization class OrganizationMemberDeleteRequest(MemberDeleteRequest): @@ -4072,9 +4097,9 @@ class ProviderBudgetResponse(LiteLLMPydanticObjectBase): Maps provider names to their budget configs. """ - providers: Dict[str, ProviderBudgetResponseObject] = ( - {} - ) # Dictionary mapping provider names to their budget configurations + providers: Dict[ + str, ProviderBudgetResponseObject + ] = {} # Dictionary mapping provider names to their budget configurations class ProxyStateVariables(TypedDict): @@ -4236,9 +4261,9 @@ class LiteLLM_JWTAuth(LiteLLMPydanticObjectBase): enforce_rbac: bool = False roles_jwt_field: Optional[str] = None # v2 on role mappings role_mappings: Optional[List[RoleMapping]] = None - object_id_jwt_field: Optional[str] = ( - None # can be either user / team, inferred from the role mapping - ) + object_id_jwt_field: Optional[ + str + ] = None # can be either user / team, inferred from the role mapping scope_mappings: Optional[List[ScopeMapping]] = None enforce_scope_based_access: bool = False enforce_team_based_model_access: bool = False diff --git a/litellm/proxy/agent_endpoints/endpoints.py b/litellm/proxy/agent_endpoints/endpoints.py index 6e5d4562b55..64c20d5ed5e 100644 --- a/litellm/proxy/agent_endpoints/endpoints.py +++ b/litellm/proxy/agent_endpoints/endpoints.py @@ -28,6 +28,7 @@ from litellm.types.agents import ( MakeAgentsPublicRequest, PatchAgentRequest, ) +from litellm.litellm_core_utils.litellm_logging import _get_masked_values from litellm.types.llms.custom_http import httpxSpecialProvider from litellm.types.proxy.management_endpoints.common_daily_activity import ( SpendAnalyticsPaginatedResponse, @@ -36,6 +37,28 @@ from litellm.types.proxy.management_endpoints.common_daily_activity import ( router = APIRouter() +def _redact_sensitive_agent_fields( + agents: List[AgentResponse], +) -> List[AgentResponse]: + """ + Return copies of the given agents with sensitive configuration fields + redacted. The original objects are not modified. + """ + redacted: List[AgentResponse] = [] + for agent in agents: + copy = agent.model_copy(deep=True) + copy.static_headers = None + copy.extra_headers = None + if copy.litellm_params: + copy.litellm_params = _get_masked_values( + copy.litellm_params, + unmasked_length=4, + number_of_asterisks=4, + ) + redacted.append(copy) + return redacted + + def _check_agent_management_permission(user_api_key_dict: UserAPIKeyAuth) -> None: """ Raises HTTP 403 if the caller does not have permission to create, update, @@ -183,6 +206,14 @@ async def get_agents( agent.agent_id in litellm.public_agent_groups ) + # Redact sensitive fields for non-admin users + is_admin = ( + user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN + or user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value + ) + if not is_admin: + returned_agents = _redact_sensitive_agent_fields(returned_agents) + if health_check: agents_with_url = [ agent @@ -399,6 +430,14 @@ async def get_agent_by_id( status_code=404, detail=f"Agent with ID {agent_id} not found" ) + # Redact sensitive fields for non-admin users + is_admin = ( + user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN + or user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value + ) + if not is_admin: + agent = _redact_sensitive_agent_fields([agent])[0] + return agent except HTTPException: raise diff --git a/litellm/proxy/analytics_endpoints/analytics_endpoints.py b/litellm/proxy/analytics_endpoints/analytics_endpoints.py index 4752593742c..6835f0c9095 100644 --- a/litellm/proxy/analytics_endpoints/analytics_endpoints.py +++ b/litellm/proxy/analytics_endpoints/analytics_endpoints.py @@ -1,5 +1,5 @@ #### Analytics Endpoints ##### -from datetime import datetime +from datetime import datetime, timezone from typing import List, Optional import fastapi @@ -58,8 +58,10 @@ async def get_global_activity( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import prisma_client @@ -83,8 +85,9 @@ async def get_global_activity( SUM(CASE WHEN sl."cache_hit" != 'True' THEN sl."completion_tokens" ELSE 0 END) AS generated_completion_tokens FROM "LiteLLM_SpendLogs" sl LEFT JOIN "LiteLLM_VerificationToken" vt ON sl."api_key" = vt."token" - WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY vt."key_alias", sl."call_type", diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index 8e0cf62e56f..290b34be836 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -197,9 +197,7 @@ def _is_model_cost_zero( return True -def _is_cost_explicitly_configured( - model: str, llm_router: "Router" -) -> bool: +def _is_cost_explicitly_configured(model: str, llm_router: "Router") -> bool: """ Check if any deployment in the model group has cost fields explicitly set in its litellm.model_cost entry. @@ -216,10 +214,7 @@ def _is_cost_explicitly_configured( if model_id is None: continue raw_entry = litellm.model_cost.get(model_id, {}) - if ( - "input_cost_per_token" in raw_entry - or "output_cost_per_token" in raw_entry - ): + if "input_cost_per_token" in raw_entry or "output_cost_per_token" in raw_entry: return True return False @@ -623,17 +618,12 @@ async def common_checks( # noqa: PLR0915 user_object=user_object, route=route, request_body=request_body ) - token_team = getattr(valid_token, "team_id", None) - token_type: Literal["ui", "api"] = ( - "ui" if token_team is not None and token_team == "litellm-dashboard" else "api" - ) - _is_route_allowed = _is_allowed_route( + _is_route_allowed = _is_api_route_allowed( route=route, - token_type=token_type, - user_obj=user_object, request=request, request_data=request_body, valid_token=valid_token, + user_obj=user_object, ) # 11. [OPTIONAL] Vector store checks - is the object allowed to access the vector store @@ -656,31 +646,6 @@ async def common_checks( # noqa: PLR0915 return True -def _is_ui_route( - route: str, - user_obj: Optional[LiteLLM_UserTable] = None, -) -> bool: - """ - - Check if the route is a UI used route - """ - # this token is only used for managing the ui - allowed_routes = LiteLLMRoutes.ui_routes.value - # check if the current route startswith any of the allowed routes - if ( - route is not None - and isinstance(route, str) - and any(route.startswith(allowed_route) for allowed_route in allowed_routes) - ): - # Do something if the current route starts with any of the allowed routes - return True - elif any( - RouteChecks._route_matches_pattern(route=route, pattern=allowed_route) - for allowed_route in allowed_routes - ): - return True - return False - - def _get_user_role( user_obj: Optional[LiteLLM_UserTable], ) -> Optional[LitellmUserRoles]: @@ -744,30 +709,6 @@ def _is_user_proxy_admin(user_obj: Optional[LiteLLM_UserTable]): return False -def _is_allowed_route( - route: str, - token_type: Literal["ui", "api"], - request: Request, - request_data: dict, - valid_token: Optional[UserAPIKeyAuth], - user_obj: Optional[LiteLLM_UserTable] = None, -) -> bool: - """ - - Route b/w ui token check and normal token check - """ - - if token_type == "ui" and _is_ui_route(route=route, user_obj=user_obj): - return True - else: - return _is_api_route_allowed( - route=route, - request=request, - request_data=request_data, - valid_token=valid_token, - user_obj=user_obj, - ) - - def _allowed_routes_check(user_route: str, allowed_routes: list) -> bool: """ Return if a user is allowed to access route. Helper function for `allowed_routes_check`. diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 1d5b913f9b8..022fe500437 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -690,42 +690,39 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 ########## End of Route Checks Before Reading DB / Cache for "token" ######## - if general_settings.get("enable_oauth2_auth", False) is True: - # Only apply OAuth2 M2M authentication to LLM API routes and info routes, not UI/management routes - # This allows UI SSO to work separately from API M2M authentication - # Note: Info routes are already scoped to the user - if RouteChecks.is_llm_api_route(route=route) or RouteChecks.is_info_route( - route=route - ): - # When both OAuth2 and JWT auth are enabled, use token format to decide: - # - JWT tokens (3 dot-separated parts) -> skip OAuth2, fall through to JWT handler - # - Opaque tokens -> use OAuth2 handler - # This allows JWT for users and OAuth2 for M2M on the same instance - is_jwt = ( - jwt_handler.is_jwt(token=api_key) - if general_settings.get("enable_jwt_auth", False) is True - else False - ) - # Routing uses unverified JWT claims only to choose auth path. - # Final authentication is enforced by the selected validator. - route_jwt_to_oauth2 = ( - is_jwt - and _should_route_jwt_to_oauth2_override( - token=api_key, jwt_handler=jwt_handler - ) - ) - if not is_jwt or route_jwt_to_oauth2: - # return UserAPIKeyAuth object - # helper to check if the api_key is a valid oauth2 token - from litellm.proxy.proxy_server import premium_user + enable_oauth2_auth = general_settings.get("enable_oauth2_auth", False) is True + enable_jwt_auth = general_settings.get("enable_jwt_auth", False) is True + is_jwt = jwt_handler.is_jwt(token=api_key) if enable_jwt_auth else False - if premium_user is not True: - raise ValueError( - "Oauth2 token validation is only available for premium users" - + CommonProxyErrors.not_premium_user.value - ) + # Routing uses unverified JWT claims only to choose auth path. + # Final authentication is enforced by the selected validator. + route_jwt_to_oauth2 = ( + is_jwt + and _should_route_jwt_to_oauth2_override( + token=api_key, jwt_handler=jwt_handler + ) + ) - return await Oauth2Handler.check_oauth2_token(token=api_key) + # OAuth2 applies for: + # 1) when global OAuth2 auth is enabled on LLM + info routes + # 2) JWT tokens that explicitly match routing_overrides on LLM + info routes + should_apply_override_oauth2 = route_jwt_to_oauth2 and ( + RouteChecks.is_llm_api_route(route=route) + or RouteChecks.is_info_route(route=route) + ) + should_apply_global_oauth2 = enable_oauth2_auth and ( + RouteChecks.is_llm_api_route(route=route) + or RouteChecks.is_info_route(route=route) + ) + if (should_apply_global_oauth2 and not is_jwt) or should_apply_override_oauth2: + from litellm.proxy.proxy_server import premium_user + if premium_user is not True: + raise ValueError( + "Oauth2 token validation is only available for premium users" + + CommonProxyErrors.not_premium_user.value + ) + + return await Oauth2Handler.check_oauth2_token(token=api_key) if general_settings.get("enable_oauth2_proxy_auth", False) is True: return await handle_oauth2_proxy_request(request=request) diff --git a/litellm/proxy/guardrails/guardrail_endpoints.py b/litellm/proxy/guardrails/guardrail_endpoints.py index 422bdc13780..6814729258f 100644 --- a/litellm/proxy/guardrails/guardrail_endpoints.py +++ b/litellm/proxy/guardrails/guardrail_endpoints.py @@ -60,12 +60,20 @@ def _get_guardrails_list_response( """ Helper function to get the guardrails list response """ + from litellm.litellm_core_utils.litellm_logging import _get_masked_values + guardrail_configs: List[GuardrailInfoResponse] = [] for guardrail in guardrails_config: + litellm_params = guardrail.get("litellm_params") or {} + masked_params = _get_masked_values( + litellm_params, + unmasked_length=4, + number_of_asterisks=4, + ) guardrail_configs.append( GuardrailInfoResponse( guardrail_name=guardrail.get("guardrail_name"), - litellm_params=guardrail.get("litellm_params"), + litellm_params=masked_params, guardrail_info=guardrail.get("guardrail_info"), ) ) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 3ed96c163af..2b8c16ed12d 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -10,6 +10,7 @@ from starlette.datastructures import Headers import litellm from litellm._logging import verbose_logger, verbose_proxy_logger from litellm._service_logger import ServiceLogging +from litellm.litellm_core_utils.credential_accessor import CredentialAccessor from litellm.litellm_core_utils.safe_json_loads import safe_json_loads from litellm.proxy._types import ( AddTeamCallback, @@ -684,6 +685,7 @@ class LiteLLMProxyRequestSetup: user_api_key_project_alias=user_api_key_dict.project_alias, user_api_key_user_id=user_api_key_dict.user_id, user_api_key_org_id=user_api_key_dict.org_id, + user_api_key_org_alias=user_api_key_dict.organization_alias, user_api_key_team_alias=user_api_key_dict.team_alias, user_api_key_end_user_id=user_api_key_dict.end_user_id, user_api_key_user_email=user_api_key_dict.user_email, @@ -1263,6 +1265,9 @@ async def add_litellm_data_to_request( # noqa: PLR0915 user_api_key_dict=user_api_key_dict, ) + # Save pre-alias model name for credential override lookup + _pre_alias_model = data.get("model") + # Team Model Aliases _update_model_if_team_alias_exists( data=data, @@ -1279,6 +1284,14 @@ async def add_litellm_data_to_request( # noqa: PLR0915 "[PROXY] returned data from litellm_pre_call_utils: %s", data ) + # Team/Project credential overrides from model_config + # Placed after the debug log to avoid leaking credential secrets in logs + _apply_credential_overrides_from_model_config( + data=data, + user_api_key_dict=user_api_key_dict, + pre_alias_model_name=_pre_alias_model, + ) + ## ENFORCED PARAMS CHECK # loop through each enforced param # example enforced_params ['user', 'metadata', 'metadata.generation_name'] @@ -1406,6 +1419,175 @@ def _update_model_if_key_alias_exists( return +def _apply_credential_overrides_from_model_config( + data: dict, + user_api_key_dict: UserAPIKeyAuth, + pre_alias_model_name: Optional[str] = None, +) -> None: + """ + Walk the model_config precedence chain in team/project metadata. + If a matching credential is found, set api_base/api_key/api_version on data + so they override deployment defaults in the router. + + Precedence (highest to lowest): + 1. Clientside credentials (already in data — skip if present) + 2. Project model-specific override + 3. Project default override (defaultconfig) + 4. Team model-specific override + 5. Team default override (defaultconfig) + 6. Deployment default (no action needed) + """ + # Feature flag gate — disabled by default, opt in with litellm.enable_model_config_credential_overrides = True + if not litellm.enable_model_config_credential_overrides: + return + + # Respect clientside credentials — highest precedence + if data.get("api_base") is not None or data.get("api_key") is not None: + return + + model_name = data.get("model") + if not model_name: + return + + project_metadata = user_api_key_dict.project_metadata or {} + team_metadata = user_api_key_dict.team_metadata or {} + + project_model_config = project_metadata.get("model_config") + team_model_config = team_metadata.get("model_config") + + if not project_model_config and not team_model_config: + return + + # Extract provider hint from model name (e.g. "azure/gpt-4" -> "azure") + provider: Optional[str] = None + if "/" in model_name: + provider = model_name.split("/", 1)[0] + + credential_name = _resolve_credential_from_model_config( + model_name=model_name, + project_model_config=project_model_config, + team_model_config=team_model_config, + pre_alias_model_name=pre_alias_model_name, + provider=provider, + ) + + if not credential_name: + return + + credential_values = CredentialAccessor.get_credential_values(credential_name) + if not credential_values: + _safe_cred = str(credential_name).replace("\n", "").replace("\r", "") + verbose_proxy_logger.warning( + "model_config references credential '%s' but it was not found or has no values", + _safe_cred, + ) + return + + # Apply credential overrides only for keys not already in the request + for key in ("api_base", "api_key", "api_version"): + if key in credential_values and key not in data: + data[key] = credential_values[key] + + _safe_model = str(model_name).replace("\n", "").replace("\r", "") + _safe_cred = str(credential_name).replace("\n", "").replace("\r", "") + verbose_proxy_logger.debug( + "Applied credential override '%s' for model '%s'", + _safe_cred, + _safe_model, + ) + + +def _resolve_credential_from_model_config( + model_name: str, + project_model_config: Optional[dict], + team_model_config: Optional[dict], + pre_alias_model_name: Optional[str] = None, + provider: Optional[str] = None, +) -> Optional[str]: + """ + Walk the precedence chain and return the first matching credential name. + + Checks (in order): + 1. project_model_config[model_name][provider] — project model-specific + 2. project_model_config[pre_alias_model_name][provider] — project pre-alias + 3. project_model_config["defaultconfig"][provider] — project default + 4. team_model_config[model_name][provider] — team model-specific + 5. team_model_config[pre_alias_model_name][provider] — team pre-alias + 6. team_model_config["defaultconfig"][provider] — team default + + When a model-specific entry exists but contains no litellm_credentials, + the function falls through to defaultconfig. This is intentional — + an entry without litellm_credentials is treated as incomplete config, + not as an explicit "no override" signal. + """ + # Build the list of model names to try (post-alias first, then pre-alias) + model_names_to_try = [model_name] + if pre_alias_model_name and pre_alias_model_name != model_name: + model_names_to_try.append(pre_alias_model_name) + + for model_config in (project_model_config, team_model_config): + if not model_config or not isinstance(model_config, dict): + continue + + # Model-specific check (try resolved name, then pre-alias name) + for name in model_names_to_try: + model_entry = model_config.get(name) + if model_entry: + credential_name = _extract_credential_from_entry( + model_entry, provider=provider + ) + if credential_name: + return credential_name + _safe_name = str(name).replace("\n", "").replace("\r", "") + verbose_proxy_logger.debug( + "model_config entry '%s' found but has no litellm_credentials, " + "trying next candidate", + _safe_name, + ) + + # Default check + default_entry = model_config.get("defaultconfig") + if default_entry: + credential_name = _extract_credential_from_entry( + default_entry, provider=provider + ) + if credential_name: + return credential_name + + return None + + +def _extract_credential_from_entry( + entry: dict, provider: Optional[str] = None +) -> Optional[str]: + """ + Extract litellm_credentials from a model_config entry. + + Entry structure: {"azure": {"litellm_credentials": "name"}, ...} + + When provider is given (e.g. "azure"), tries an exact provider match first. + Falls back to the first credential found across all provider keys. + """ + if not isinstance(entry, dict): + return None + + # Prefer exact provider match when provider hint is available + if provider and provider in entry: + provider_config = entry[provider] + if isinstance(provider_config, dict): + credential_name = provider_config.get("litellm_credentials") + if credential_name: + return credential_name + + # Fall back to first available provider + for provider_config in entry.values(): + if isinstance(provider_config, dict): + credential_name = provider_config.get("litellm_credentials") + if credential_name: + return credential_name + return None + + def _get_enforced_params( general_settings: Optional[dict], user_api_key_dict: UserAPIKeyAuth ) -> Optional[list]: diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py index 89c72131760..80ab771b712 100644 --- a/litellm/proxy/management_endpoints/key_management_endpoints.py +++ b/litellm/proxy/management_endpoints/key_management_endpoints.py @@ -456,6 +456,34 @@ def handle_key_type(data: GenerateKeyRequest, data_json: dict) -> dict: return data_json +def _check_allowed_routes_caller_permission( + allowed_routes: Optional[list], + user_api_key_dict: UserAPIKeyAuth, +) -> None: + """ + Only proxy admins may set `allowed_routes` on a key. + + `allowed_routes` bypasses the standard role-based route gate in + RouteChecks.non_proxy_admin_allowed_routes_check, so if a non-admin is + allowed to set it they can grant themselves access to any endpoint. + Non-admins should use `key_type` to pick a preset route bucket instead. + """ + # Empty list is the default on GenerateKeyRequest — treat as "not set". + if not allowed_routes: + return + if user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value: + return + raise HTTPException( + status_code=403, + detail={ + "error": ( + "Only proxy admins can set `allowed_routes` on a key. " + "Use `key_type` to pick a preset route bucket instead." + ) + }, + ) + + async def validate_team_id_used_in_service_account_request( team_id: Optional[str], prisma_client: Optional[PrismaClient], @@ -502,9 +530,7 @@ def _enforce_upperbound_key_params( for elem in data: key, value = elem - upperbound_value = getattr( - litellm.upperbound_key_generate_params, key, None - ) + upperbound_value = getattr(litellm.upperbound_key_generate_params, key, None) if upperbound_value is not None: if value is None: if fill_defaults: @@ -524,9 +550,7 @@ def _enforce_upperbound_key_params( }, ) elif key in ["budget_duration", "duration"]: - upperbound_duration = duration_in_seconds( - duration=upperbound_value - ) + upperbound_duration = duration_in_seconds(duration=upperbound_value) if value == "-1": user_duration = float("inf") else: @@ -1258,6 +1282,12 @@ async def generate_key_fn( raise HTTPException( status_code=status.HTTP_403_FORBIDDEN, detail=message ) + + _check_allowed_routes_caller_permission( + allowed_routes=data.allowed_routes, + user_api_key_dict=user_api_key_dict, + ) + # For non-admin internal users: auto-assign caller's user_id if not provided # This prevents creating unbound keys with no user association (LIT-1884) _is_proxy_admin = ( @@ -1772,9 +1802,7 @@ async def _process_single_key_update( decision = result.get("decision", True) message = result.get("message", "Authentication Failed - Custom Auth Rule") if not decision: - raise HTTPException( - status_code=status.HTTP_403_FORBIDDEN, detail=message - ) + raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=message) # Enforce upperbound key params on update (don't fill defaults) _enforce_upperbound_key_params(update_key_request, fill_defaults=False) @@ -1907,6 +1935,11 @@ async def _validate_update_key_data( """Validate permissions and constraints for key update.""" _is_proxy_admin = user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value + _check_allowed_routes_caller_permission( + allowed_routes=data.allowed_routes, + user_api_key_dict=user_api_key_dict, + ) + # Prevent non-admin from removing user_id (setting to empty string) (LIT-1884) if data.user_id is not None and data.user_id == "" and not _is_proxy_admin: raise HTTPException( @@ -2651,22 +2684,39 @@ async def info_key_fn_v2( detail={"message": "Malformed request. No keys passed in."}, ) - key_info = await prisma_client.get_data( - token=data.keys, table_name="key", query_type="find_all" - ) - if key_info is None: - raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, - detail={"message": "No keys found"}, + # Resolve key_aliases to tokens so we never pass token=None (unbounded query) + tokens_to_query = list(data.keys) if data.keys else [] + if data.key_aliases: + alias_rows = await prisma_client.db.litellm_verificationtoken.find_many( + where={"key_alias": {"in": data.key_aliases}}, + include={"litellm_budget_table": True}, ) + alias_tokens = [row.token for row in alias_rows if row.token] + tokens_to_query.extend(alias_tokens) + + if not tokens_to_query: + return {"key": data.keys, "info": []} + + key_info = await prisma_client.get_data( + token=tokens_to_query, table_name="key", query_type="find_all" + ) + if not key_info: + return {"key": data.keys, "info": []} + filtered_key_info = [] for k in key_info: + if not await _can_user_query_key_info( + user_api_key_dict=user_api_key_dict, + key=k.token, + key_info=k, + ): + continue try: - k = k.model_dump() # noqa + k_dict = k.model_dump() except Exception: - # if using pydantic v1 - k = k.dict() - filtered_key_info.append(k) + k_dict = k.dict() + k_dict.pop("token", None) + filtered_key_info.append(k_dict) return {"key": data.keys, "info": filtered_key_info} except Exception as e: diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 6c930b2b9df..8bebca66af2 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -100,6 +100,8 @@ from litellm.types.proxy.management_endpoints.common_daily_activity import ( from litellm.types.proxy.management_endpoints.team_endpoints import ( BulkTeamMemberAddRequest, BulkTeamMemberAddResponse, + BulkUpdateTeamMemberPermissionsRequest, + BulkUpdateTeamMemberPermissionsResponse, GetTeamMemberPermissionsResponse, TeamListItem, TeamListResponse, @@ -4303,6 +4305,151 @@ async def update_team_member_permissions( return updated_team +@router.post( + "/team/permissions_bulk_update", + tags=["team management"], + dependencies=[Depends(user_api_key_auth)], + response_model=BulkUpdateTeamMemberPermissionsResponse, +) +@management_endpoint_wrapper +async def bulk_update_team_member_permissions( + data: BulkUpdateTeamMemberPermissionsRequest, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), +): + """ + Append permissions to existing teams. + + Either pass team_ids to target specific teams, or set + apply_to_all_teams=True to update every team. For each team, + the provided permissions are merged with the team's existing + permissions (duplicates are skipped). + """ + from litellm.proxy.proxy_server import prisma_client + + if prisma_client is None: + raise HTTPException(status_code=500, detail={"error": "No db connected"}) + + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value: + raise HTTPException( + status_code=403, + detail={"error": "Only proxy admins can bulk-update team permissions"}, + ) + + if not data.permissions: + return { + "message": "No permissions provided", + "teams_updated": 0, + } + + if not data.apply_to_all_teams and not data.team_ids: + raise HTTPException( + status_code=400, + detail={ + "error": "Must provide team_ids or set apply_to_all_teams=true" + }, + ) + + if data.apply_to_all_teams and data.team_ids: + raise HTTPException( + status_code=400, + detail={ + "error": "Cannot set both apply_to_all_teams=true and team_ids" + }, + ) + + permissions_to_add = set(data.permissions) + + if data.team_ids: + teams_updated = await _append_permissions_to_specific_teams( + prisma_client, data.team_ids, permissions_to_add + ) + else: + teams_updated = await _append_permissions_to_all_teams( + prisma_client, permissions_to_add + ) + + return { + "message": "Team permissions updated successfully", + "teams_updated": teams_updated, + "permissions_appended": data.permissions, + } + + +async def _compute_and_batch_updates(prisma_client, teams, permissions_to_add: set) -> int: + """Compute merged permissions and batch-write updates. Returns count of teams updated.""" + updates = [] + for team in teams: + existing = set(team.team_member_permissions or []) + if permissions_to_add <= existing: + continue + merged = sorted(existing | permissions_to_add) # normalise to alphabetical order + updates.append((team.team_id, merged)) + + if updates: + batcher = prisma_client.db.batch_() + for team_id, merged_perms in updates: + batcher.litellm_teamtable.update( + where={"team_id": team_id}, + data={"team_member_permissions": merged_perms}, + ) + await batcher.commit() + + return len(updates) + + +async def _append_permissions_to_specific_teams( + prisma_client, team_ids: List[str], permissions_to_add: set +) -> int: + """Fetch specific teams by ID and append permissions.""" + teams = await prisma_client.db.litellm_teamtable.find_many( + where={"team_id": {"in": team_ids}}, + ) + + found_ids = {team.team_id for team in teams} + missing_ids = set(team_ids) - found_ids + if missing_ids: + raise HTTPException( + status_code=404, + detail={"error": f"Team(s) not found: {sorted(missing_ids)}"}, + ) + + return await _compute_and_batch_updates(prisma_client, teams, permissions_to_add) + + +async def _append_permissions_to_all_teams( + prisma_client, permissions_to_add: set +) -> int: + """Paginated read + batched write across all teams.""" + teams_updated = 0 + cursor = None + BATCH_SIZE = 500 + + while True: + find_args: dict = { + "take": BATCH_SIZE, + "order": {"team_id": "asc"}, + } + if cursor is not None: + find_args["cursor"] = {"team_id": cursor} + find_args["skip"] = 1 + + teams = await prisma_client.db.litellm_teamtable.find_many(**find_args) + + if not teams: + break + + teams_updated += await _compute_and_batch_updates( + prisma_client, teams, permissions_to_add + ) + + cursor = teams[-1].team_id + + if len(teams) < BATCH_SIZE: + break + + return teams_updated + + @router.get( "/team/daily/activity", response_model=SpendAnalyticsPaginatedResponse, diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index 973836b13d8..6ad83dab9b8 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -1115,7 +1115,10 @@ async def delete_file( file_id=original_file_id, ) - response = await litellm.afile_delete(**data) # type: ignore + response = await litellm.afile_delete( + custom_llm_provider=credentials["custom_llm_provider"], # type: ignore + **data, + ) # type: ignore verbose_proxy_logger.debug( f"Deleted file using model: {model_used}" diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index f0afb780de9..8a955e092c9 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -7168,6 +7168,13 @@ async def chat_completion( # noqa: PLR0915 and user_api_key_dict.org_id is not None ): data["metadata"]["user_api_key_org_id"] = user_api_key_dict.org_id + if ( + hasattr(user_api_key_dict, "organization_alias") + and user_api_key_dict.organization_alias is not None + ): + data["metadata"]["user_api_key_org_alias"] = ( + user_api_key_dict.organization_alias + ) if ( hasattr(user_api_key_dict, "agent_id") and user_api_key_dict.agent_id is not None @@ -7342,6 +7349,13 @@ async def completion( # noqa: PLR0915 and user_api_key_dict.org_id is not None ): data["metadata"]["user_api_key_org_id"] = user_api_key_dict.org_id + if ( + hasattr(user_api_key_dict, "organization_alias") + and user_api_key_dict.organization_alias is not None + ): + data["metadata"]["user_api_key_org_alias"] = ( + user_api_key_dict.organization_alias + ) if ( hasattr(user_api_key_dict, "agent_id") and user_api_key_dict.agent_id is not None @@ -7584,6 +7598,13 @@ async def embeddings( # noqa: PLR0915 and user_api_key_dict.org_id is not None ): data["metadata"]["user_api_key_org_id"] = user_api_key_dict.org_id + if ( + hasattr(user_api_key_dict, "organization_alias") + and user_api_key_dict.organization_alias is not None + ): + data["metadata"]["user_api_key_org_alias"] = ( + user_api_key_dict.organization_alias + ) if ( hasattr(user_api_key_dict, "agent_id") and user_api_key_dict.agent_id is not None diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py index 3c1b7cfd10c..6b7fe7d609b 100644 --- a/litellm/proxy/spend_tracking/spend_management_endpoints.py +++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py @@ -223,7 +223,8 @@ async def get_global_activity_internal_user( COUNT(*) AS api_requests, SUM(total_tokens) AS total_tokens FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND "user" = $3 GROUP BY date_trunc('day', "startTime") """ @@ -282,8 +283,10 @@ async def get_global_activity( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import prisma_client @@ -307,7 +310,8 @@ async def get_global_activity( COUNT(*) AS api_requests, SUM(total_tokens) AS total_tokens FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY date_trunc('day', "startTime") """ db_response = await prisma_client.db.query_raw( @@ -366,7 +370,8 @@ async def get_global_activity_model_internal_user( COUNT(*) AS api_requests, SUM(total_tokens) AS total_tokens FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND "user" = $3 GROUP BY model_group, date_trunc('day', "startTime") """ @@ -448,8 +453,10 @@ async def get_global_activity_model( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import prisma_client @@ -474,7 +481,8 @@ async def get_global_activity_model( COUNT(*) AS api_requests, SUM(total_tokens) AS total_tokens FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY model_group, date_trunc('day', "startTime") """ db_response = await prisma_client.db.query_raw( @@ -600,8 +608,10 @@ async def get_global_activity_exceptions_per_deployment( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import prisma_client @@ -619,7 +629,8 @@ async def get_global_activity_exceptions_per_deployment( FROM "LiteLLM_ErrorLogs" WHERE - "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND model_group = $3 AND status_code = '429' GROUP BY @@ -732,8 +743,10 @@ async def get_global_activity_exceptions( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import prisma_client @@ -750,7 +763,8 @@ async def get_global_activity_exceptions( FROM "LiteLLM_ErrorLogs" WHERE - "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND model_group = $3 AND status_code = '429' GROUP BY @@ -837,8 +851,10 @@ async def get_global_spend_provider( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import llm_router, prisma_client @@ -863,7 +879,8 @@ async def get_global_spend_provider( model_id, SUM(spend) AS spend FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND length(model_id) > 0 AND "user" = $3 GROUP BY model_id @@ -877,7 +894,9 @@ async def get_global_spend_provider( model_id, SUM(spend) AS spend FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') AND length(model_id) > 0 + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') + AND length(model_id) > 0 GROUP BY model_id """ db_response = await prisma_client.db.query_raw( @@ -996,8 +1015,10 @@ async def get_global_spend_report( detail={"error": "Please provide start_date and end_date"}, ) - start_date_obj = datetime.strptime(start_date, "%Y-%m-%d") - end_date_obj = datetime.strptime(end_date, "%Y-%m-%d") + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) from litellm.proxy.proxy_server import premium_user, prisma_client @@ -1029,7 +1050,9 @@ async def get_global_spend_report( FROM "LiteLLM_SpendLogs" sl WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') AND sl.api_key = $3 + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') + AND sl.api_key = $3 GROUP BY sl.api_key, sl.model @@ -1074,7 +1097,9 @@ async def get_global_spend_report( FROM "LiteLLM_SpendLogs" sl WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') AND sl.user = $3 + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') + AND sl.user = $3 GROUP BY sl.api_key, sl.model @@ -1128,7 +1153,8 @@ async def get_global_spend_report( ON sl.team_id = tt.team_id WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY date_trunc('day', sl."startTime"), tt.team_alias, @@ -1187,7 +1213,8 @@ async def get_global_spend_report( FROM "LiteLLM_SpendLogs" sl WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY date_trunc('day', sl."startTime"), customer, @@ -1244,7 +1271,8 @@ async def get_global_spend_report( FROM "LiteLLM_SpendLogs" sl WHERE - sl."startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY sl.api_key, sl.model @@ -1428,6 +1456,16 @@ async def _get_spend_report_for_time_range( ) return None + # Normalize string inputs to tz-aware UTC datetimes so Prisma serializes + # them with an explicit +00:00 suffix. Raw strings get bound as untyped + # text, which forces Postgres to parse `::timestamptz` using the DB + # session timezone and drifts the window by the offset even with the + # AT TIME ZONE 'UTC' wrap below. + start_date_obj = datetime.strptime(start_date, "%Y-%m-%d").replace( + tzinfo=timezone.utc + ) + end_date_obj = datetime.strptime(end_date, "%Y-%m-%d").replace(tzinfo=timezone.utc) + try: sql_query = """ SELECT @@ -1438,27 +1476,31 @@ async def _get_spend_report_for_time_range( LEFT JOIN "LiteLLM_TeamTable" t ON s.team_id = t.team_id WHERE - s."startTime" >= $1::date AND s."startTime" < ($2::date + INTERVAL '1 day') + s."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND s."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY t.team_alias ORDER BY total_spend DESC; """ - response = await prisma_client.db.query_raw(sql_query, start_date, end_date) + response = await prisma_client.db.query_raw( + sql_query, start_date_obj, end_date_obj + ) # get spend per tag for today sql_query = """ - SELECT + SELECT jsonb_array_elements_text(request_tags) AS individual_request_tag, SUM(spend) AS total_spend FROM "LiteLLM_SpendLogs" - WHERE "startTime" >= $1::timestamptz AND "startTime" < ($2::timestamptz + INTERVAL \'1 day\') + WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') GROUP BY individual_request_tag ORDER BY total_spend DESC; """ spend_per_tag = await prisma_client.db.query_raw( - sql_query, start_date, end_date + sql_query, start_date_obj, end_date_obj ) return response, spend_per_tag @@ -1910,11 +1952,17 @@ async def ui_view_spend_logs( # noqa: PLR0915 sql_params: List[Any] = [] p = 1 # parameter index counter - # Date range (always present) - sql_conditions.append(f'"startTime" >= ${p}::timestamptz') + # Date range (always present). Wrap the param side with + # `AT TIME ZONE 'UTC'` so comparison against the plain `timestamp` + # column does not depend on the DB session timezone (see #22529). + sql_conditions.append( + f"\"startTime\" >= (${p}::timestamptz AT TIME ZONE 'UTC')" + ) sql_params.append(start_date_obj) p += 1 - sql_conditions.append(f'"startTime" <= ${p}::timestamptz') + sql_conditions.append( + f"\"startTime\" <= (${p}::timestamptz AT TIME ZONE 'UTC')" + ) sql_params.append(end_date_obj) p += 1 @@ -2897,8 +2945,8 @@ async def global_spend_end_users(data: Optional[GlobalEndUsersSpend] = None): sql_query = """ SELECT end_user, COUNT(*) AS total_count, SUM(spend) AS total_spend FROM "LiteLLM_SpendLogs" -WHERE "startTime" >= $1::timestamptz - AND "startTime" < $2::timestamptz +WHERE "startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND "startTime" < ($2::timestamptz AT TIME ZONE 'UTC') AND ( CASE WHEN $3::TEXT IS NULL THEN TRUE diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py index 8ea93453ed3..8a963ec0134 100644 --- a/litellm/proxy/spend_tracking/spend_tracking_utils.py +++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py @@ -559,7 +559,8 @@ async def get_spend_by_team_and_customer( ON sl.team_id = tt.team_id WHERE - sl."startTime" >= $1::timestamptz AND sl."startTime" < ($2::timestamptz + INTERVAL '1 day') + sl."startTime" >= ($1::timestamptz AT TIME ZONE 'UTC') + AND sl."startTime" < (($2::timestamptz + INTERVAL '1 day') AT TIME ZONE 'UTC') AND sl.team_id = $3 AND sl.end_user = $4 GROUP BY diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index 60bf41709ef..0349f289b4e 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -1,6 +1,7 @@ #### CRUD ENDPOINTS for UI Settings ##### import json from typing import Any, Dict, List, Optional, Union +from urllib.parse import urlparse from fastapi import APIRouter, Depends, File, HTTPException, UploadFile @@ -817,6 +818,29 @@ async def get_ui_theme_settings(): ) +def _validate_public_image_url(value: Optional[str], field_name: str) -> None: + """ + Reject anything that isn't a plain http(s) URL with a host. This value is + later served via the unauthenticated /get_image endpoint, so local paths + like "/etc/passwd" or "file://..." must not be accepted. + """ + if value is None: + return + if not isinstance(value, str) or not value.strip(): + return + parsed = urlparse(value.strip()) + if parsed.scheme not in ("http", "https") or not parsed.netloc: + raise HTTPException( + status_code=400, + detail={ + "error": ( + f"Invalid {field_name}: must be an http(s) URL with a host. " + "Local filesystem paths and non-http schemes are not allowed." + ) + }, + ) + + @router.patch( "/update/ui_theme_settings", tags=["UI Theme Settings"], @@ -831,6 +855,9 @@ async def update_ui_theme_settings(theme_config: UIThemeConfig): from litellm.proxy.proxy_server import proxy_config, store_model_in_db + _validate_public_image_url(theme_config.logo_url, "logo_url") + _validate_public_image_url(theme_config.favicon_url, "favicon_url") + if store_model_in_db is not True: raise HTTPException( status_code=500, diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 8d1ac631910..c821bcd8e97 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -2641,7 +2641,7 @@ class PrismaClient: raise e async def _query_first_with_cached_plan_fallback( - self, sql_query: str + self, sql_query: str, *args ) -> Optional[dict]: """ Execute a query with automatic fallback for PostgreSQL cached plan errors. @@ -2660,7 +2660,7 @@ class PrismaClient: Original exception if not a cached plan error """ try: - return await self.db.query_first(query=sql_query) + return await self.db.query_first(sql_query, *args) except Exception as e: error_str = str(e) if "cached plan must not change result type" in error_str: @@ -2675,7 +2675,7 @@ class PrismaClient: "retrying with fresh plan. This may occur during rolling deployments " "when schema changes are applied." ) - return await self.db.query_first(query=sql_query_retry) + return await self.db.query_first(sql_query_retry, *args) else: raise @@ -2974,7 +2974,7 @@ class PrismaClient: detail={"error": f"No token passed in. Token={token}"}, ) - sql_query = f""" + sql_query = """ SELECT v.*, t.spend AS team_spend, @@ -3000,6 +3000,7 @@ class PrismaClient: b.model_max_budget as litellm_budget_table_model_max_budget, b.soft_budget as litellm_budget_table_soft_budget, o.metadata as organization_metadata, + o.organization_alias as organization_alias, b2.max_budget as organization_max_budget, b2.tpm_limit as organization_tpm_limit, b2.rpm_limit as organization_rpm_limit @@ -3011,11 +3012,11 @@ class PrismaClient: LEFT JOIN "LiteLLM_ProjectTable" AS p ON v.project_id = p.project_id LEFT JOIN "LiteLLM_OrganizationTable" AS o ON v.organization_id = o.organization_id LEFT JOIN "LiteLLM_BudgetTable" AS b2 ON o.budget_id = b2.budget_id - WHERE v.token = '{token}' + WHERE v.token = $1 """ response = await self._query_first_with_cached_plan_fallback( - sql_query + sql_query, hashed_token ) # If not found in main table, check deprecated keys (grace period) @@ -5293,11 +5294,12 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException: ) elif isinstance(e, ProxyException): return e + _status_code = getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR) return ProxyException( - message="Internal Server Error, " + str(e), + message=str(e), type=ProxyErrorTypes.internal_server_error, param=getattr(e, "param", "None"), - code=status.HTTP_500_INTERNAL_SERVER_ERROR, + code=_status_code, ) diff --git a/litellm/responses/main.py b/litellm/responses/main.py index c82574278ba..bcc3f7f05e8 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -1967,11 +1967,18 @@ async def _aresponses_websocket( ) # Extract params that we're passing explicitly to avoid duplicates in **kwargs - remaining_kwargs = { - k: v - for k, v in kwargs.items() - if k not in {"user_api_key_dict", "litellm_metadata"} + _explicit_keys = { + "user_api_key_dict", + "litellm_metadata", + "custom_llm_provider", + "model", + "websocket", + "litellm_logging_obj", + "api_base", + "api_key", + "timeout", } + remaining_kwargs = {k: v for k, v in kwargs.items() if k not in _explicit_keys} await base_llm_http_handler.async_responses_websocket( model=model, diff --git a/litellm/router.py b/litellm/router.py index a58b3ce25e1..9185e437a3a 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -3864,14 +3864,29 @@ class Router: self._add_deployment_model_to_endpoint_for_llm_passthrough_route( kwargs=kwargs, model=model, model_name=model_name ) - ### get custom - response = original_generic_function( - **{ - **data, - "caching": self.cache_responses, - **kwargs, - } - ) + + # Get custom_llm_provider from deployment params + try: + custom_llm_provider = data.get("custom_llm_provider") + _, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, + ) + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider + except Exception: + custom_llm_provider = None + + # Build response kwargs + response_kwargs = { + **data, + "caching": self.cache_responses, + **kwargs, + } + # Only set custom_llm_provider if it's not None + if custom_llm_provider is not None: + response_kwargs["custom_llm_provider"] = custom_llm_provider + + response = original_generic_function(**response_kwargs) rpm_semaphore = self._get_client( deployment=deployment, @@ -3961,7 +3976,12 @@ class Router: self.routing_strategy_pre_call_checks(deployment=deployment) try: - _, custom_llm_provider, _, _ = get_llm_provider(model=data["model"]) + custom_llm_provider = data.get("custom_llm_provider") + _, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, + ) + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider except Exception: custom_llm_provider = None @@ -4219,9 +4239,14 @@ class Router: self.total_calls[model_name] += 1 ## REPLACE MODEL IN FILE WITH SELECTED DEPLOYMENT ## - stripped_model, custom_llm_provider, _, _ = get_llm_provider( - model=data["model"] + # For DB/config deployments, use provider from deployment params + custom_llm_provider = data.get("custom_llm_provider") + stripped_model, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, ) + # Preserve explicitly stored provider, fallback to inferred + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider ## REPLACE MODEL IN FILE WITH SELECTED DEPLOYMENT ## purpose = cast(Optional[OpenAIFilesPurpose], kwargs.get("purpose")) @@ -4367,8 +4392,13 @@ class Router: ) self.total_calls[model_name] += 1 - # Get custom provider - _, custom_llm_provider, _, _ = get_llm_provider(model=data["model"]) + # Get custom provider from deployment params + custom_llm_provider = data.get("custom_llm_provider") + _, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, + ) + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider response = avector_store_create_sdk( **{ @@ -4486,7 +4516,12 @@ class Router: self.total_calls[model_name] += 1 ## SET CUSTOM PROVIDER TO SELECTED DEPLOYMENT ## - _, custom_llm_provider, _, _ = get_llm_provider(model=data["model"]) + custom_llm_provider = data.get("custom_llm_provider") + _, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, + ) + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider response = litellm.acreate_batch( **{ @@ -4720,7 +4755,12 @@ class Router: self.total_calls[model_name] += 1 ## SET CUSTOM PROVIDER TO SELECTED DEPLOYMENT ## - _, custom_llm_provider, _, _ = get_llm_provider(model=data["model"]) + custom_llm_provider = data.get("custom_llm_provider") + _, inferred_custom_llm_provider, _, _ = get_llm_provider( + model=data["model"], + custom_llm_provider=custom_llm_provider, + ) + custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider response = litellm.acancel_batch( **{ diff --git a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py index dc44ef13b7c..3f1714ba5a5 100644 --- a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py +++ b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py @@ -139,9 +139,16 @@ class EncryptedContentAffinityCheck(CustomLogger): typed_healthy_deployments = cast(List[dict], healthy_deployments) # Signal to the response post-processor that encrypted item IDs should be - # encoded in the output of this request. - litellm_metadata = request_kwargs.setdefault("litellm_metadata", {}) - litellm_metadata["encrypted_content_affinity_enabled"] = True + # encoded in the output of this request. Only set the flag when + # litellm_metadata already exists (Responses API path). Using + # setdefault would create an empty litellm_metadata dict for chat + # completions / embeddings, which breaks tag-based routing because + # _get_metadata_variable_name_from_kwargs would pick "litellm_metadata" + # over "metadata" where tags are actually stored. + if "litellm_metadata" in request_kwargs: + request_kwargs["litellm_metadata"][ + "encrypted_content_affinity_enabled" + ] = True request_input = request_kwargs.get("input") model_id = self._extract_model_id_from_input(request_input) diff --git a/litellm/types/integrations/prometheus.py b/litellm/types/integrations/prometheus.py index 0d1501664b9..5f1aa9fb2ce 100644 --- a/litellm/types/integrations/prometheus.py +++ b/litellm/types/integrations/prometheus.py @@ -1,7 +1,7 @@ import re from dataclasses import dataclass from enum import Enum -from typing import Any, Dict, List, Literal, Optional, Tuple +from typing import Any, ClassVar, Dict, List, Literal, Optional, Tuple from pydantic import BaseModel, Field, field_validator from typing_extensions import Annotated @@ -665,6 +665,24 @@ class PrometheusMetricLabels: litellm_cache_misses_metric = _cache_metric_labels litellm_cached_tokens_metric = _cache_metric_labels + # Metrics whose emission paths supply org context (used by get_labels) + _org_label_metrics: ClassVar[frozenset] = frozenset( + { + "litellm_llm_api_latency_metric", + "litellm_llm_api_time_to_first_token_metric", + "litellm_request_total_latency_metric", + "litellm_request_queue_time_seconds", + "litellm_proxy_total_requests_metric", + "litellm_proxy_failed_requests_metric", + "litellm_deployment_latency_per_output_token", + "litellm_requests_metric", + "litellm_spend_metric", + "litellm_input_tokens_metric", + "litellm_total_tokens_metric", + "litellm_output_tokens_metric", + } + ) + # Managed batch metrics _batch_user_labels = [ UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value, @@ -731,6 +749,14 @@ class PrometheusMetricLabels: ): custom_labels.append(UserAPIKeyLabelNames.STREAM.value) + if label_name in PrometheusMetricLabels._org_label_metrics: + for label in [ + UserAPIKeyLabelNames.ORG_ID.value, + UserAPIKeyLabelNames.ORG_ALIAS.value, + ]: + if label not in default_labels and label not in custom_labels: + custom_labels.append(label) + return default_labels + custom_labels diff --git a/litellm/types/llms/vertex_ai.py b/litellm/types/llms/vertex_ai.py index c49fc96a65b..86d7b926214 100644 --- a/litellm/types/llms/vertex_ai.py +++ b/litellm/types/llms/vertex_ai.py @@ -325,6 +325,7 @@ class RequestBody(TypedDict, total=False): generationConfig: GenerationConfig cachedContent: str labels: Dict[str, str] + serviceTier: str class CachedContentRequestBody(TypedDict, total=False): diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py index db7657a0174..a7d0968c0ef 100644 --- a/litellm/types/mcp_server/mcp_server_manager.py +++ b/litellm/types/mcp_server/mcp_server_manager.py @@ -71,6 +71,15 @@ class MCPServer(BaseModel): # OAuth2 flow type. Defaults to None (interactive / authorization_code). # Set to "client_credentials" to enable M2M token fetching. oauth2_flow: Optional[Literal["client_credentials", "authorization_code"]] = None + # Per-user OAuth server-side storage config. + # token_validation: key-value pairs that must match fields in the OAuth token + # response (supports dot-notation for nested fields, e.g. "team.enterprise_id"). + # Tokens that fail validation are rejected before storage. + token_validation: Optional[Dict[str, Any]] = None + # Optional TTL override (seconds) for the Redis per-user token cache. + # Defaults to the token's expires_in minus the expiry buffer, or + # MCP_PER_USER_TOKEN_DEFAULT_TTL when expires_in is absent. + token_storage_ttl_seconds: Optional[int] = None model_config = ConfigDict(arbitrary_types_allowed=True) @property diff --git a/litellm/types/proxy/management_endpoints/team_endpoints.py b/litellm/types/proxy/management_endpoints/team_endpoints.py index 2455eb495d1..b1dabf96e67 100644 --- a/litellm/types/proxy/management_endpoints/team_endpoints.py +++ b/litellm/types/proxy/management_endpoints/team_endpoints.py @@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional, Union from pydantic import BaseModel from litellm.proxy._types import ( + KeyManagementRoutes, LiteLLM_DeletedTeamTable, LiteLLM_TeamMembership, LiteLLM_TeamTable, @@ -43,6 +44,27 @@ class UpdateTeamMemberPermissionsRequest(BaseModel): team_member_permissions: List[str] +class BulkUpdateTeamMemberPermissionsRequest(BaseModel): + """Request to bulk-update team member permissions across teams.""" + + permissions: List[KeyManagementRoutes] + """Permissions to append to the target teams (duplicates are skipped).""" + + team_ids: Optional[List[str]] = None + """Specific team IDs to update. Required unless apply_to_all_teams is True.""" + + apply_to_all_teams: bool = False + """When True, update all teams. Mutually exclusive with team_ids.""" + + +class BulkUpdateTeamMemberPermissionsResponse(BaseModel): + """Response for bulk team member permissions update.""" + + message: str + teams_updated: int + permissions_appended: Optional[List[str]] = None + + class TeamListItem(LiteLLM_TeamTable): """A team item in the paginated list response, enriched with computed fields.""" diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 3f6e6e5aa5a..cd5806b3ab7 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -2507,6 +2507,7 @@ class StandardLoggingUserAPIKeyMetadata(TypedDict): user_api_key_max_budget: Optional[float] user_api_key_budget_reset_at: Optional[str] user_api_key_org_id: Optional[str] + user_api_key_org_alias: Optional[str] user_api_key_team_id: Optional[str] user_api_key_project_id: Optional[str] user_api_key_project_alias: Optional[str] diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 6da9a004b8a..90ff7d1103c 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -7818,14 +7818,16 @@ "cache_read_input_token_cost": 3e-08, "cache_creation_input_token_cost": 3.75e-07 }, - "bedrock/us-gov-east-1/claude-sonnet-4-5-20250929-v1:0": { - "input_cost_per_token": 3.6e-06, + "bedrock/us-gov-east-1/anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, "litellm_provider": "bedrock", "max_input_tokens": 200000, - "max_output_tokens": 4096, - "max_tokens": 4096, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.8e-05, + "output_cost_per_token": 1.65e-05, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -7835,8 +7837,28 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "cache_read_input_token_cost": 3.6e-07, - "cache_creation_input_token_cost": 4.5e-06 + "supports_native_structured_output": true + }, + "bedrock/us-gov-east-1/claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_native_structured_output": true }, "bedrock/us-gov-east-1/meta.llama3-70b-instruct-v1:0": { "input_cost_per_token": 2.65e-06, @@ -7969,14 +7991,16 @@ "cache_read_input_token_cost": 3e-08, "cache_creation_input_token_cost": 3.75e-07 }, - "bedrock/us-gov-west-1/claude-sonnet-4-5-20250929-v1:0": { - "input_cost_per_token": 3.6e-06, + "bedrock/us-gov-west-1/anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, "litellm_provider": "bedrock", "max_input_tokens": 200000, - "max_output_tokens": 4096, - "max_tokens": 4096, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.8e-05, + "output_cost_per_token": 1.65e-05, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -7986,8 +8010,28 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "cache_read_input_token_cost": 3.6e-07, - "cache_creation_input_token_cost": 4.5e-06 + "supports_native_structured_output": true + }, + "bedrock/us-gov-west-1/claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_native_structured_output": true }, "bedrock/us-gov-west-1/meta.llama3-70b-instruct-v1:0": { "input_cost_per_token": 2.65e-06, @@ -13695,7 +13739,8 @@ "supports_tool_choice": true, "supports_url_context": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-2.5-flash-image": { "cache_read_input_token_cost": 3e-08, @@ -13744,7 +13789,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": false, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini-3-pro-image-preview": { "input_cost_per_image": 0.0011, @@ -13778,7 +13824,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-3.1-flash-image-preview": { "input_cost_per_image": 0.00056, @@ -13861,7 +13908,8 @@ "supports_video_input": true, "supports_vision": true, "supports_web_search": true, - "supports_native_streaming": true + "supports_native_streaming": true, + "supports_service_tier": true }, "deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, @@ -13940,7 +13988,8 @@ "supports_tool_choice": true, "supports_url_context": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-2.5-flash-lite-preview-09-2025": { "cache_read_input_token_cost": 1e-08, @@ -14211,7 +14260,8 @@ "supports_tool_choice": true, "supports_video_input": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini-3-pro-preview": { "deprecation_date": "2026-03-26", @@ -14993,7 +15043,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini/gemini-2.5-flash-image": { "cache_read_input_token_cost": 3e-08, @@ -15043,7 +15094,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 8000000 + "tpm": 8000000, + "supports_service_tier": true }, "gemini/gemini-3-pro-image-preview": { "input_cost_per_image": 0.0011, @@ -15079,7 +15131,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_vision": true, - "supports_web_search": true + "supports_web_search": true, + "supports_service_tier": true }, "gemini/gemini-3.1-flash-image-preview": { "input_cost_per_token": 2.5e-07, @@ -15198,7 +15251,8 @@ "supports_url_context": true, "supports_vision": true, "supports_web_search": true, - "tpm": 250000 + "tpm": 250000, + "supports_service_tier": true }, "gemini/gemini-2.5-flash-lite-preview-09-2025": { "cache_read_input_token_cost": 1e-08, @@ -15638,7 +15692,8 @@ "supports_vision": true, "supports_web_search": true, "supports_native_streaming": true, - "tpm": 250000 + "tpm": 250000, + "supports_service_tier": true }, "gemini/gemini-3-flash-preview": { "cache_read_input_token_cost": 5e-08, @@ -16879,6 +16934,72 @@ "mode": "chat", "output_cost_per_token": 1.2e-06 }, + "baseten/MiniMaxAI/MiniMax-M2.5": { + "input_cost_per_token": 3e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 1.2e-06 + }, + "baseten/nvidia/Nemotron-120B-A12B": { + "input_cost_per_token": 3e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 7.5e-07 + }, + "baseten/zai-org/GLM-5": { + "input_cost_per_token": 9.5e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 3.15e-06 + }, + "baseten/zai-org/GLM-4.7": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.2e-06 + }, + "baseten/zai-org/GLM-4.6": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.2e-06 + }, + "baseten/moonshotai/Kimi-K2.5": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 3e-06 + }, + "baseten/moonshotai/Kimi-K2-Thinking": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.5e-06 + }, + "baseten/moonshotai/Kimi-K2-Instruct-0905": { + "input_cost_per_token": 6e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 2.5e-06 + }, + "baseten/openai/gpt-oss-120b": { + "input_cost_per_token": 1e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 5e-07 + }, + "baseten/deepseek-ai/DeepSeek-V3.1": { + "input_cost_per_token": 5e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 1.5e-06 + }, + "baseten/deepseek-ai/DeepSeek-V3-0324": { + "input_cost_per_token": 7.7e-07, + "litellm_provider": "baseten", + "mode": "chat", + "output_cost_per_token": 7.7e-07 + }, "gmi/Qwen/Qwen3-VL-235B-A22B-Instruct-FP8": { "input_cost_per_token": 3e-07, "litellm_provider": "gmi", @@ -28930,6 +29051,32 @@ "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true }, + "us-gov.anthropic.claude-sonnet-4-5-20250929-v1:0": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "input_cost_per_token_above_200k_tokens": 6.6e-06, + "output_cost_per_token_above_200k_tokens": 2.475e-05, + "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06, + "cache_read_input_token_cost_above_200k_tokens": 6.6e-07, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "tool_use_system_prompt_tokens": 346, + "supports_native_structured_output": true + }, "au.anthropic.claude-haiku-4-5-20251001-v1:0": { "cache_creation_input_token_cost": 1.375e-06, "cache_read_input_token_cost": 1.1e-07, @@ -38042,4 +38189,4 @@ "supports_native_structured_output": true, "supports_pdf_input": true } -} +} \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index d4adad66c84..9eabd1e8aa5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -40,7 +40,7 @@ description = "File support for asyncio." optional = true python-versions = ">=3.8" groups = ["main"] -markers = "python_version <= \"3.13\" and extra == \"semantic-router\"" +markers = "python_version < \"3.14\" and extra == \"semantic-router\"" files = [ {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, @@ -224,28 +224,41 @@ description = "A light, configurable Sphinx theme" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"utils\"" +markers = "python_version == \"3.9\" and extra == \"utils\"" files = [ {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"}, {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"}, ] +[[package]] +name = "alabaster" +version = "1.0.0" +description = "A light, configurable Sphinx theme" +optional = true +python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"utils\"" +files = [ + {file = "alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b"}, + {file = "alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e"}, +] + [[package]] name = "alembic" -version = "1.17.2" +version = "1.18.4" description = "A database migration tool for SQLAlchemy." optional = true python-versions = ">=3.10" groups = ["main"] markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ - {file = "alembic-1.17.2-py3-none-any.whl", 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optional = true, python = ">=3.9,<3.14"} @@ -181,7 +181,7 @@ requires = ["poetry-core", "wheel"] build-backend = "poetry.core.masonry.api" [tool.commitizen] -version = "1.83.3" +version = "1.83.6" version_files = [ "pyproject.toml:^version" ] diff --git a/requirements.txt b/requirements.txt index 23f6ea1f960..09a316361e9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -85,4 +85,4 @@ requests-toolbelt==1.0.0 # transitive dep (langfuse) ######################## # LITELLM ENTERPRISE DEPENDENCIES ######################## -litellm-enterprise==0.1.36 +litellm-enterprise==0.1.37 diff --git a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py index 967ef2a5fec..834cb235f0c 100644 --- a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py +++ b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py @@ -223,6 +223,8 @@ def test_increment_token_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model=None, model="gpt-3.5-turbo", model_id="model-123", @@ -237,6 +239,8 @@ def test_increment_token_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model=None, model="gpt-3.5-turbo", model_id="model-123", @@ -253,6 +257,8 @@ def test_increment_token_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model=None, model="gpt-3.5-turbo", model_id="model-123", @@ -414,6 +420,8 @@ def test_set_latency_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model="openai-gpt", model="gpt-3.5-turbo", model_id="model-123", @@ -430,6 +438,8 @@ def test_set_latency_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model="openai-gpt", model="gpt-3.5-turbo", model_id="model-123", @@ -446,6 +456,8 @@ def test_set_latency_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model="openai-gpt", model="gpt-3.5-turbo", model_id="model-123", @@ -589,6 +601,8 @@ def test_increment_top_level_request_and_spend_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, model="gpt-3.5-turbo", model_id="model-123", client_ip=None, @@ -605,6 +619,8 @@ def test_increment_top_level_request_and_spend_metrics(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, model="gpt-3.5-turbo", model_id="model-123", client_ip=None, @@ -758,6 +774,8 @@ async def test_async_post_call_failure_hook(prometheus_logger): api_key_alias="test_alias", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, requested_model="gpt-3.5-turbo", exception_status="429", exception_class="Openai.RateLimitError", @@ -776,6 +794,8 @@ async def test_async_post_call_failure_hook(prometheus_logger): requested_model="gpt-3.5-turbo", team="test_team", team_alias="test_team_alias", + org_id=None, + org_alias=None, user="test_user", status_code="429", user_email=None, @@ -955,6 +975,8 @@ def test_set_llm_deployment_success_metrics(prometheus_logger): api_key_alias=standard_logging_payload["metadata"]["user_api_key_alias"], team=standard_logging_payload["metadata"]["user_api_key_team_id"], team_alias=standard_logging_payload["metadata"]["user_api_key_team_alias"], + org_id=None, + org_alias=None, ) prometheus_logger.litellm_overhead_latency_metric.labels.assert_called_once_with( api_base="https://api.openai.com", diff --git a/tests/llm_translation/test_triton.py b/tests/llm_translation/test_triton.py index 8a3bbb4661c..8f3c936dce6 100644 --- a/tests/llm_translation/test_triton.py +++ b/tests/llm_translation/test_triton.py @@ -50,6 +50,138 @@ def test_split_embedding_by_shape_fails_with_shape_value_error(): ) +def test_triton_embedding_response_sets_usage_with_token_counter(): + config = TritonEmbeddingConfig() + mock_http_response = MagicMock() + mock_http_response.status_code = 200 + mock_http_response.json.return_value = { + "model_name": "gte-base-en-v1", + "outputs": [ + { + "name": "embedding", + "shape": [1, 2], + "data": [0.1, 0.2], + } + ], + } + model_response = litellm.EmbeddingResponse() + request_data = { + "inputs": [ + { + "name": "input_text", + "shape": [1], + "datatype": "BYTES", + "data": ["hello from triton"], + } + ] + } + + with patch( + "litellm.llms.triton.embedding.transformation.token_counter", + return_value=7, + ): + transformed = config.transform_embedding_response( + model="triton/gte-base-en-v1", + raw_response=mock_http_response, + model_response=model_response, + logging_obj=MagicMock(), + request_data=request_data, + ) + + assert transformed.usage is not None + assert transformed.usage.prompt_tokens == 7 + assert transformed.usage.completion_tokens == 0 + assert transformed.usage.total_tokens == 7 + + +def test_triton_embedding_response_sets_usage_with_word_count_fallback(): + config = TritonEmbeddingConfig() + mock_http_response = MagicMock() + mock_http_response.status_code = 200 + mock_http_response.json.return_value = { + "model_name": "gte-base-en-v1", + "outputs": [ + { + "name": "embedding", + "shape": [1, 2], + "data": [0.1, 0.2], + } + ], + } + model_response = litellm.EmbeddingResponse() + request_data = { + "inputs": [ + { + "name": "input_text", + "shape": [1], + "datatype": "BYTES", + "data": ["hello from triton"], + } + ] + } + + with patch( + "litellm.llms.triton.embedding.transformation.token_counter", + side_effect=Exception("tokenizer error"), + ): + transformed = config.transform_embedding_response( + model="triton/gte-base-en-v1", + raw_response=mock_http_response, + model_response=model_response, + logging_obj=MagicMock(), + request_data=request_data, + ) + + assert transformed.usage is not None + assert transformed.usage.prompt_tokens == 3 + assert transformed.usage.completion_tokens == 0 + assert transformed.usage.total_tokens == 3 + + +def test_triton_embedding_batch_usage_sums_per_input_token_counts(): + """Batch inputs must not be joined before token counting (avoids extra newline tokens).""" + config = TritonEmbeddingConfig() + mock_http_response = MagicMock() + mock_http_response.status_code = 200 + mock_http_response.json.return_value = { + "model_name": "gte-base-en-v1", + "outputs": [ + { + "name": "embedding", + "shape": [2, 2], + "data": [0.1, 0.2, 0.3, 0.4], + } + ], + } + model_response = litellm.EmbeddingResponse() + request_data = { + "inputs": [ + { + "name": "input_text", + "shape": [2], + "datatype": "BYTES", + "data": ["first input", "second input"], + } + ] + } + + with patch( + "litellm.llms.triton.embedding.transformation.token_counter", + side_effect=[5, 7], + ): + transformed = config.transform_embedding_response( + model="triton/gte-base-en-v1", + raw_response=mock_http_response, + model_response=model_response, + logging_obj=MagicMock(), + request_data=request_data, + ) + + assert transformed.usage is not None + assert transformed.usage.prompt_tokens == 12 + assert transformed.usage.total_tokens == 12 + + @pytest.mark.parametrize("stream", [True, False]) def test_completion_triton_generate_api(stream): try: diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py index a1684e23769..001b9464006 100644 --- a/tests/local_testing/test_amazing_vertex_completion.py +++ b/tests/local_testing/test_amazing_vertex_completion.py @@ -178,7 +178,6 @@ async def test_get_response(): async def test_aavertex_ai_anthropic_async(): # load_vertex_ai_credentials() try: - model = "claude-3-5-sonnet@20240620" vertex_ai_project = "pathrise-convert-1606954137718" @@ -351,7 +350,6 @@ def test_avertex_ai_stream(): @pytest.mark.flaky(retries=3, delay=1) @pytest.mark.asyncio async def test_async_vertexai_response_basic(): - load_vertex_ai_credentials() try: user_message = "Hello, how are you?" @@ -1382,7 +1380,6 @@ async def test_gemini_pro_json_schema_args_sent_httpx( ] ) elif resp is not None: - assert resp.model == model.split("/")[1] @@ -2291,6 +2288,8 @@ def test_prompt_factory_nested(): async def test_completion_fine_tuned_model(): load_vertex_ai_credentials() mock_response = AsyncMock() + mock_response.headers = {} + mock_response.status_code = 200 def return_val(): return { @@ -2326,7 +2325,6 @@ async def test_completion_fine_tuned_model(): } mock_response.json = return_val - mock_response.status_code = 200 expected_payload = { "contents": [ diff --git a/tests/local_testing/test_embedding.py b/tests/local_testing/test_embedding.py index c43cad78b1e..3f1a397ebcb 100644 --- a/tests/local_testing/test_embedding.py +++ b/tests/local_testing/test_embedding.py @@ -373,35 +373,6 @@ def test_openai_azure_embedding_optional_arg(): # test_openai_embedding() -@pytest.mark.parametrize( - "model, api_base", - [ - ("embed-english-v2.0", None), - ], -) -@pytest.mark.parametrize("sync_mode", [True, False]) -@pytest.mark.asyncio -async def test_cohere_embedding(sync_mode, model, api_base): - try: - # litellm.set_verbose=True - data = { - "model": model, - "input": ["good morning from litellm", "this is another item"], - "input_type": "search_query", - "api_base": api_base, - } - if sync_mode: - response = embedding(**data) - else: - response = await litellm.aembedding(**data) - - print(f"response:", response) - - assert isinstance(response.usage, litellm.Usage) - except Exception as e: - pytest.fail(f"Error occurred: {e}") - - # test_cohere_embedding() diff --git a/tests/mcp_tests/test_per_user_oauth_cache.py b/tests/mcp_tests/test_per_user_oauth_cache.py new file mode 100644 index 00000000000..36c26a5a505 --- /dev/null +++ b/tests/mcp_tests/test_per_user_oauth_cache.py @@ -0,0 +1,527 @@ +""" +Unit tests for per-user MCP OAuth token storage: +- MCPPerUserTokenCache (NaCl-encrypted Redis cache) +- _validate_token_response (token validation rules) +- _compute_per_user_token_ttl (TTL computation) +- refresh_user_oauth_token (token refresh flow) +""" + +import sys +from datetime import datetime, timedelta, timezone +from typing import Any, Dict, Optional +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +# Stub out modules that aren't available in the unit-test environment +# so we can import the targets without a full proxy stack. +for _mod in ("orjson",): + if _mod not in sys.modules: + sys.modules[_mod] = MagicMock() + +from litellm.proxy._experimental.mcp_server.oauth2_token_cache import ( # noqa: E402 + MCPPerUserTokenCache, + _compute_per_user_token_ttl, + mcp_per_user_token_cache, +) +from litellm.types.mcp import MCPAuth, MCPTransport # noqa: E402 +from litellm.types.mcp_server.mcp_server_manager import MCPServer # noqa: E402 + + +def _import_validate(): + """Lazy import to avoid pulling orjson at collection time.""" + from litellm.proxy._experimental.mcp_server.discoverable_endpoints import ( + _validate_token_response, + ) + + return _validate_token_response + + +# ── Fixtures ───────────────────────────────────────────────────────────────── + + +def _make_server(**kwargs) -> MCPServer: + defaults: Dict[str, Any] = { + "server_id": "slack-test", + "name": "Slack", + "server_name": "slack", + "url": "https://slack-mcp.example.com/mcp", + "transport": MCPTransport.http, + "auth_type": MCPAuth.oauth2, + "client_id": "SLACK_CLIENT_ID", + "client_secret": "SLACK_CLIENT_SECRET", + "token_url": "https://slack.com/api/oauth.v2.access", + "authorization_url": "https://slack.com/oauth/v2/authorize", + } + defaults.update(kwargs) + return MCPServer(**defaults) + + +# ── _validate_token_response ────────────────────────────────────────────────── + + +class TestValidateTokenResponse: + def test_passes_when_all_rules_match(self): + _validate_token_response = _import_validate() + token_response = { + "access_token": "xoxb-123", + "enterprise_id": "E04XXXXXX", + "team": {"id": "T123", "name": "Acme"}, + } + # Should not raise + _validate_token_response( + token_response=token_response, + validation_rules={"enterprise_id": "E04XXXXXX"}, + server_id="slack-test", + ) + + def test_raises_on_mismatch(self): + from fastapi import HTTPException + + _validate_token_response = _import_validate() + token_response = {"access_token": "xoxb-123", "enterprise_id": "E99999999"} + with pytest.raises(HTTPException) as exc_info: + _validate_token_response( + token_response=token_response, + validation_rules={"enterprise_id": "E04XXXXXX"}, + server_id="slack-test", + ) + assert exc_info.value.status_code == 403 + detail = exc_info.value.detail + assert detail["error"] == "token_validation_failed" + assert detail["field"] == "enterprise_id" + + def test_raises_when_field_absent(self): + from fastapi import HTTPException + + _validate_token_response = _import_validate() + token_response = {"access_token": "xoxb-123"} + with pytest.raises(HTTPException) as exc_info: + _validate_token_response( + token_response=token_response, + validation_rules={"enterprise_id": "E04XXXXXX"}, + server_id="slack-test", + ) + assert exc_info.value.status_code == 403 + # Absent field should produce a distinct "absent" message, not str(None) + assert "absent" in exc_info.value.detail["message"] + + def test_absent_field_does_not_match_string_none(self): + """str(None)='None' must NOT match the string rule value 'None'.""" + from fastapi import HTTPException + + _validate_token_response = _import_validate() + token_response = {"access_token": "tok"} # enterprise_id absent + # Even if admin writes validation_rules={"enterprise_id": "None"}, absent + # field should raise, not pass. + with pytest.raises(HTTPException) as exc_info: + _validate_token_response( + token_response=token_response, + validation_rules={"enterprise_id": "None"}, + server_id="slack-test", + ) + assert exc_info.value.status_code == 403 + assert "absent" in exc_info.value.detail["message"] + + def test_dot_notation_nested_field(self): + _validate_token_response = _import_validate() + token_response = { + "access_token": "xoxb-123", + "team": {"enterprise_id": "E04XXXXXX"}, + } + # Should not raise — dot-notation traverses nested dict + _validate_token_response( + token_response=token_response, + validation_rules={"team.enterprise_id": "E04XXXXXX"}, + server_id="slack-test", + ) + + def test_dot_notation_mismatch(self): + from fastapi import HTTPException + + _validate_token_response = _import_validate() + token_response = { + "access_token": "xoxb-123", + "team": {"enterprise_id": "WRONG"}, + } + with pytest.raises(HTTPException) as exc_info: + _validate_token_response( + token_response=token_response, + validation_rules={"team.enterprise_id": "E04XXXXXX"}, + server_id="slack-test", + ) + assert exc_info.value.status_code == 403 + assert exc_info.value.detail["field"] == "team.enterprise_id" + + def test_numeric_value_string_coercion(self): + """Numeric values in token response should match string rules.""" + _validate_token_response = _import_validate() + token_response = {"access_token": "tok", "org_id": 12345} + # Should not raise — str(12345) == "12345" + _validate_token_response( + token_response=token_response, + validation_rules={"org_id": "12345"}, + server_id="test", + ) + + def test_multiple_rules_all_must_match(self): + from fastapi import HTTPException + + _validate_token_response = _import_validate() + token_response = { + "access_token": "tok", + "enterprise_id": "E04XXXXXX", + "cloud_id": "WRONG_CLOUD", + } + with pytest.raises(HTTPException): + _validate_token_response( + token_response=token_response, + validation_rules={ + "enterprise_id": "E04XXXXXX", + "cloud_id": "abc-123", + }, + server_id="atlassian", + ) + + +# ── _compute_per_user_token_ttl ────────────────────────────────────────────── + + +class TestComputePerUserTokenTtl: + def test_uses_server_override_when_set(self): + server = _make_server(token_storage_ttl_seconds=7200) + assert _compute_per_user_token_ttl(server, expires_in=99999) == 7200 + + def test_uses_expires_in_minus_buffer(self): + server = _make_server() + # Default buffer is 60s + ttl = _compute_per_user_token_ttl(server, expires_in=3600) + assert ttl == 3600 - 60 + + def test_minimum_ttl_is_1(self): + server = _make_server() + # expires_in smaller than buffer → clamp to 1 + ttl = _compute_per_user_token_ttl(server, expires_in=30) + assert ttl == 1 + + def test_default_ttl_when_expires_in_none(self): + from litellm.constants import MCP_PER_USER_TOKEN_DEFAULT_TTL + + server = _make_server() + ttl = _compute_per_user_token_ttl(server, expires_in=None) + assert ttl == MCP_PER_USER_TOKEN_DEFAULT_TTL + + +# ── MCPPerUserTokenCache ────────────────────────────────────────────────────── + + +class TestMCPPerUserTokenCache: + """Tests for Redis-backed per-user token cache. + + Patches ``user_api_key_cache`` to avoid needing a real Redis instance. + Patches ``encrypt_value_helper`` / ``decrypt_value_helper`` to verify + encryption is applied before Redis writes and decryption after reads. + """ + + @pytest.fixture + def cache(self): + return MCPPerUserTokenCache() + + @pytest.fixture + def mock_dual_cache(self): + dc = MagicMock() + dc.async_get_cache = AsyncMock(return_value=None) + dc.async_set_cache = AsyncMock() + return dc + + @pytest.mark.asyncio + async def test_get_returns_none_on_miss(self, cache, mock_dual_cache): + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.decrypt_value_helper" + ) as mock_decrypt, patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + mock_dual_cache.async_get_cache.return_value = None + result = await cache.get("alice", "slack-test") + assert result is None + mock_decrypt.assert_not_called() + + @pytest.mark.asyncio + async def test_get_decrypts_cached_value(self, cache, mock_dual_cache): + fake_encrypted = "encrypted_blob_abc123" + fake_plaintext = "xoxb-slack-token" + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.decrypt_value_helper", + return_value=fake_plaintext, + ) as mock_decrypt, patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + mock_dual_cache.async_get_cache.return_value = fake_encrypted + result = await cache.get("alice", "slack-test") + + assert result == fake_plaintext + mock_decrypt.assert_called_once_with( + fake_encrypted, + key="mcp_per_user_token", + exception_type="debug", + ) + + @pytest.mark.asyncio + async def test_set_encrypts_before_storing(self, cache, mock_dual_cache): + fake_encrypted = "encrypted_blob_xyz" + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.encrypt_value_helper", + return_value=fake_encrypted, + ) as mock_encrypt, patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + await cache.set("alice", "slack-test", "xoxb-token", ttl=3540) + + mock_encrypt.assert_called_once_with("xoxb-token") + mock_dual_cache.async_set_cache.assert_called_once() + call_kwargs = mock_dual_cache.async_set_cache.call_args + assert call_kwargs[0][1] == fake_encrypted # encrypted value stored + assert call_kwargs[1]["ttl"] == 3540 + + @pytest.mark.asyncio + async def test_set_uses_correct_cache_key(self, cache, mock_dual_cache): + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.encrypt_value_helper", + return_value="enc", + ), patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + await cache.set("bob", "github-server", "ghp_token", ttl=3600) + + key_used = mock_dual_cache.async_set_cache.call_args[0][0] + assert key_used == "mcp:per_user_token:bob:github-server" + + @pytest.mark.asyncio + async def test_delete_calls_async_delete_cache(self, cache, mock_dual_cache): + mock_dual_cache.async_delete_cache = AsyncMock() + with patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + await cache.delete("alice", "slack-test") + + mock_dual_cache.async_delete_cache.assert_called_once_with( + "mcp:per_user_token:alice:slack-test" + ) + mock_dual_cache.async_set_cache.assert_not_called() + + @pytest.mark.asyncio + async def test_get_returns_none_on_decrypt_failure(self, cache, mock_dual_cache): + """Cache misses and decrypt errors should both return None without raising.""" + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.decrypt_value_helper", + return_value=None, # decrypt returns None on failure + ), patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + mock_dual_cache.async_get_cache.return_value = "bad_encrypted_data" + result = await cache.get("alice", "slack-test") + + assert result is None + + @pytest.mark.asyncio + async def test_set_is_noop_on_cache_error(self, cache, mock_dual_cache): + """Errors in the cache layer must not propagate to the caller.""" + mock_dual_cache.async_set_cache.side_effect = RuntimeError("Redis down") + with patch( + "litellm.proxy._experimental.mcp_server.oauth2_token_cache.encrypt_value_helper", + return_value="enc", + ), patch( + "litellm.proxy.proxy_server.user_api_key_cache", mock_dual_cache + ): + # Should not raise + await cache.set("alice", "slack-test", "token", ttl=3600) + + +# ── refresh_user_oauth_token ────────────────────────────────────────────────── + + +class TestRefreshUserOauthToken: + """Tests for the DB-level token refresh helper.""" + + @pytest.fixture + def server(self): + return _make_server() + + @pytest.fixture + def cred(self): + return { + "type": "oauth2", + "access_token": "OLD_TOKEN", + "refresh_token": "REFRESH_TOKEN_123", + "expires_at": ( + datetime.now(timezone.utc) - timedelta(hours=1) + ).isoformat(), + } + + @pytest.mark.asyncio + async def test_returns_none_when_no_refresh_token(self, server): + from litellm.proxy._experimental.mcp_server.db import refresh_user_oauth_token + + cred = {"type": "oauth2", "access_token": "OLD"} # no refresh_token + result = await refresh_user_oauth_token( + prisma_client=MagicMock(), + user_id="alice", + server=server, + cred=cred, + ) + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_no_token_url(self, cred): + from litellm.proxy._experimental.mcp_server.db import refresh_user_oauth_token + + server = _make_server(token_url=None) + result = await refresh_user_oauth_token( + prisma_client=MagicMock(), + user_id="alice", + server=server, + cred=cred, + ) + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_on_http_error(self, server, cred): + from litellm.proxy._experimental.mcp_server.db import refresh_user_oauth_token + + mock_client = AsyncMock() + mock_client.post.side_effect = Exception("Connection refused") + + with patch( + "litellm.proxy._experimental.mcp_server.db.get_async_httpx_client", + return_value=mock_client, + ): + result = await refresh_user_oauth_token( + prisma_client=MagicMock(), + user_id="alice", + server=server, + cred=cred, + ) + assert result is None + + @pytest.mark.asyncio + async def test_stores_and_returns_new_credential(self, server, cred): + from litellm.proxy._experimental.mcp_server.db import refresh_user_oauth_token + + new_token_response = MagicMock() + new_token_response.json.return_value = { + "access_token": "NEW_TOKEN", + "expires_in": 3600, + "refresh_token": "NEW_REFRESH", + "scope": "channels:read chat:write", + } + new_token_response.raise_for_status = MagicMock() + + mock_client = AsyncMock() + mock_client.post.return_value = new_token_response + + stored_cred = { + "type": "oauth2", + "access_token": "NEW_TOKEN", + "refresh_token": "NEW_REFRESH", + } + mock_prisma = AsyncMock() + + with patch( + "litellm.proxy._experimental.mcp_server.db.get_async_httpx_client", + return_value=mock_client, + ), patch( + "litellm.proxy._experimental.mcp_server.db.store_user_oauth_credential", + new_callable=AsyncMock, + ) as mock_store, patch( + "litellm.proxy._experimental.mcp_server.db.get_user_oauth_credential", + new_callable=AsyncMock, + return_value=stored_cred, + ): + result = await refresh_user_oauth_token( + prisma_client=mock_prisma, + user_id="alice", + server=server, + cred=cred, + ) + + assert result == stored_cred + mock_store.assert_called_once() + call_kwargs = mock_store.call_args[1] + assert call_kwargs["access_token"] == "NEW_TOKEN" + assert call_kwargs["refresh_token"] == "NEW_REFRESH" + assert call_kwargs["expires_in"] == 3600 + assert call_kwargs["scopes"] == ["channels:read", "chat:write"] + # Refresh path must skip the BYOK guard (row is already OAuth2) + assert call_kwargs.get("skip_byok_guard") is True + + @pytest.mark.asyncio + async def test_falls_back_to_old_refresh_token_when_not_rotated( + self, server, cred + ): + """When provider doesn't return a new refresh_token, keep the old one.""" + from litellm.proxy._experimental.mcp_server.db import refresh_user_oauth_token + + new_token_response = MagicMock() + new_token_response.json.return_value = { + "access_token": "NEW_TOKEN", + "expires_in": 3600, + # No refresh_token in response + } + new_token_response.raise_for_status = MagicMock() + + mock_client = AsyncMock() + mock_client.post.return_value = new_token_response + + with patch( + "litellm.proxy._experimental.mcp_server.db.get_async_httpx_client", + return_value=mock_client, + ), patch( + "litellm.proxy._experimental.mcp_server.db.store_user_oauth_credential", + new_callable=AsyncMock, + ) as mock_store, patch( + "litellm.proxy._experimental.mcp_server.db.get_user_oauth_credential", + new_callable=AsyncMock, + return_value={"type": "oauth2", "access_token": "NEW_TOKEN"}, + ): + await refresh_user_oauth_token( + prisma_client=AsyncMock(), + user_id="alice", + server=server, + cred=cred, + ) + + call_kwargs = mock_store.call_args[1] + # Old refresh_token preserved when provider doesn't rotate + assert call_kwargs["refresh_token"] == "REFRESH_TOKEN_123" + + +# ── MCPServer new fields ────────────────────────────────────────────────────── + + +class TestMCPServerNewFields: + def test_token_validation_default_none(self): + server = _make_server() + assert server.token_validation is None + + def test_token_validation_set(self): + server = _make_server(token_validation={"enterprise_id": "E04XXXXXX"}) + assert server.token_validation == {"enterprise_id": "E04XXXXXX"} + + def test_token_storage_ttl_default_none(self): + server = _make_server() + assert server.token_storage_ttl_seconds is None + + def test_token_storage_ttl_set(self): + server = _make_server(token_storage_ttl_seconds=7200) + assert server.token_storage_ttl_seconds == 7200 + + def test_needs_user_oauth_token_true_for_oauth2_without_m2m(self): + server = _make_server(auth_type=MCPAuth.oauth2) + assert server.needs_user_oauth_token is True + + def test_needs_user_oauth_token_false_for_m2m(self): + server = _make_server( + auth_type=MCPAuth.oauth2, + oauth2_flow="client_credentials", + ) + assert server.needs_user_oauth_token is False diff --git a/tests/proxy_e2e_azure_batches_tests/base_integration_test.py b/tests/proxy_e2e_azure_batches_tests/base_integration_test.py deleted file mode 100644 index c819fa7bf4f..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/base_integration_test.py +++ /dev/null @@ -1,494 +0,0 @@ -"""Base class for LiteLLM integration tests. - -Supports both local (mock) and remote testing modes via environment variables: -- USE_LOCAL_LITELLM: When "true", uses local LiteLLM at localhost:4000 (default: false) -- USE_MOCK_MODELS: When "true", uses mock model names (default: false) -- LITELLM_API_KEY: API key for remote LiteLLM (required when USE_LOCAL_LITELLM=false) -- LITELLM_BASE_URL: Base URL for remote LiteLLM (required when USE_LOCAL_LITELLM=false) -""" - -import enum -import os -import time -import uuid -from abc import ABC -from collections import defaultdict -from typing import Any, Callable, Dict, List, Tuple, Union - -import httpx -import openai -import pytest -import requests -from urllib3.exceptions import InsecureRequestWarning - -requests.packages.urllib3.disable_warnings(category=InsecureRequestWarning) - -LOCAL_LITELLM_BASE_URL = "http://localhost:4000" -LOCAL_MOCK_SERVER_URL = "http://localhost:8090" - -if "USE_LOCAL_LITELLM" not in os.environ: - os.environ["USE_LOCAL_LITELLM"] = "true" -if "USE_MOCK_MODELS" not in os.environ: - os.environ["USE_MOCK_MODELS"] = "true" -if "USE_STATE_TRACKER" not in os.environ: - os.environ["USE_STATE_TRACKER"] = "true" -if "DATABASE_URL" not in os.environ: - os.environ["DATABASE_URL"] = "postgresql://llmproxy:dbpassword9090@localhost:5432/litellm" - - -def use_local_litellm() -> bool: - return os.environ.get("USE_LOCAL_LITELLM", "false").lower() == "true" - - -def use_remote_litellm() -> bool: - return not use_local_litellm() - - -def use_mock_models() -> bool: - return os.environ.get("USE_MOCK_MODELS", "false").lower() == "true" - - -def get_local_litellm_base_url() -> str: - return LOCAL_LITELLM_BASE_URL - - -def get_remote_litellm_base_url() -> str: - return os.environ.get("LITELLM_BASE_URL", "").rstrip("/") - - -def get_litellm_base_url() -> str: - if use_local_litellm(): - return get_local_litellm_base_url() - return get_remote_litellm_base_url() - - -def get_litellm_api_key() -> str: - if use_local_litellm(): - return "sk-1234" - return os.environ.get("LITELLM_API_KEY", "") - - -def get_mock_server_base_url() -> str: - return LOCAL_MOCK_SERVER_URL - - -def get_responses_model_name() -> str: - if use_mock_models(): - return "openai-fake-gpt-4o" - return "gpt-4o-mini-2024-07-18" - - -def model_id(param) -> str: - """Generate a test ID from a model name or tuple containing model name. - - Handles both: - - String: "gpt-4o-mini" -> "gpt_4o_mini" - - Tuple: ("gpt-4o", "openai/gpt-4o") -> "gpt_4o" - """ - if isinstance(param, tuple): - name = param[0] - else: - name = param - return name.replace("-", "_").replace(".", "_") - - -def generate_test_id( - params: Tuple[str, ...], - test_name: str = "test", -) -> str: - """Generate test ID from model parameters tuple. - - Handles two tuple formats: - - 6 elements: (provider, deployment, model_name, api_version, action, reason) - - 7 elements: (provider, deployment, model_name, api_version, model_id, action, reason) - - Uses model_id (position 4) if 7 elements, otherwise model_name (position 2). - """ - provider = params[0] - deployment = params[1] - api_version = params[3] - - if len(params) == 7: - identifier = params[4] # model_id - else: - identifier = params[2] # model_name - - test_id = "/".join([provider, deployment, api_version, identifier, test_name]) - return test_id.replace("-", "_").replace(".", "_") - - -class ModelTestAction(enum.Enum): - NOT_APPLICABLE = 1 - SKIP = 2 - RUN = 3 - WARN_ON_FAIL = 4 - - def applicable(self) -> bool: - return self.value != ModelTestAction.NOT_APPLICABLE.value - - -class BaseLiteLLMIntegrationTest(ABC): - """Base class for all LiteLLM integration tests. - - Supports both local/mock and remote testing based on environment variables. - """ - - @staticmethod - def get_api_key() -> str: - return get_litellm_api_key() - - @staticmethod - def get_base_url() -> str: - return get_litellm_base_url() - - @staticmethod - def get_ca_bundle_path() -> str: - current_dir = os.path.dirname(os.path.abspath(__file__)) - # change if needed - - @classmethod - def _get_ssl_verify_setting(cls) -> Union[bool, str]: - """Get the appropriate SSL verification setting based on mode. - - Returns path string (not SSLContext) for compatibility with both - requests and httpx libraries. - """ - if use_local_litellm(): - return False - ca_bundle_path = cls.get_ca_bundle_path() - if os.path.exists(ca_bundle_path): - return ca_bundle_path - return True - - @classmethod - def setup_class(cls): - cls.api_key = cls.get_api_key() - cls.base_url = cls.get_base_url() - - if not cls.api_key: - pytest.fail( - "API key is not available. Set LITELLM_API_KEY or USE_LOCAL_LITELLM=true", - ) - if not cls.base_url: - pytest.fail( - "Base URL is not available. Set LITELLM_BASE_URL or USE_LOCAL_LITELLM=true", - ) - - verify_setting = cls._get_ssl_verify_setting() - - if use_remote_litellm() and isinstance(verify_setting, str): - os.environ["REQUESTS_CA_BUNDLE"] = verify_setting - os.environ["CURL_CA_BUNDLE"] = verify_setting - print(f"Using CA bundle: {verify_setting}") - - cls.openai_client = openai.OpenAI( - base_url=cls.base_url, - api_key=cls.api_key, - http_client=httpx.Client(verify=verify_setting), - ) - - @classmethod - def make_request( - cls, - method: str, - endpoint: str, - timeout_secs: int, - **kwargs, - ) -> requests.Response: - headers = kwargs.get("headers", {}) - headers["Authorization"] = f"Bearer {cls.api_key}" - kwargs["headers"] = headers - kwargs.setdefault("timeout", timeout_secs) - kwargs.setdefault("verify", cls._get_ssl_verify_setting()) - - url = f"{cls.base_url}{endpoint}" - return requests.request(method, url, **kwargs) - - @staticmethod - def generate_request_id() -> str: - return f"req-{uuid.uuid4().hex[:8]}" - - @staticmethod - def get_timeout_secs(model_name: str) -> int: - model_lower = model_name.lower() - slow_models = ["gpt-5", "gpt_5", "o1", "claude-opus", "claude_opus", "o3", "o4"] - - if any(slow_model in model_lower for slow_model in slow_models): - return 300 - return 60 - - @staticmethod - def generate_unique_filename(extension: str = "txt") -> str: - return f"test_{time.time()}.{extension}" - - @staticmethod - def extract_model_params(model_data: Dict[str, Any]) -> Tuple[str, str, str, str]: - """Extract standardized parameters from model data.""" - model_name = model_data.get("model_name", "") - model_info = model_data.get("model_info", {}) - provider = model_info.get("litellm_provider", "unknown") - litellm_params = model_data.get("litellm_params", {}) - - if provider == "azure": - api_base = litellm_params.get("api_base", "unknown") - if api_base != "unknown" and "//" in api_base: - domain_name = api_base.split("//")[1] - deployment = domain_name.split(".")[0] - else: - deployment = "unknown" - api_version = litellm_params.get("api_version", "unknown") - elif provider in ["bedrock", "bedrock_converse"]: - deployment = litellm_params.get("aws_region_name", "unknown") - api_version = "unknown" - else: - deployment = "unknown" - api_version = "unknown" - - return provider, deployment, model_name, api_version - - @classmethod - def _fetch_all_models_from_litellm(cls) -> List[Dict[str, Any]]: - base_url = cls.get_base_url() - api_key = cls.get_api_key() - - if not api_key or not base_url: - return [] - - verify_setting = cls._get_ssl_verify_setting() - - response = requests.get( - f"{base_url}/model/info", - headers={"Authorization": f"Bearer {api_key}"}, - verify=verify_setting, - timeout=30, - ) - - if response.status_code != 200: - raise RuntimeError( - f"Failed to fetch all models from {base_url}. Response code: {response.status_code}", - ) - - data = response.json() - return data.get("data", []) - - @classmethod - def _fetch_all_approved_models(cls) -> List[Dict[str, Any]]: - return cls._fetch_all_models_from_litellm() - - @classmethod - def build_model_test_params( - cls, - should_skip_model: Callable[ - [str, str, str, str, Dict[str, Any]], - Tuple["ModelTestAction", str], - ], - include_model_id: bool = False, - include_load_balanced: bool = False, - ) -> List[Tuple[str, ...]]: - """Build test parameters from all approved models. - - Args: - should_skip_model: Callback that determines if a model should be skipped. - Signature: (provider, deployment, model_name, api_version, model_info) -> (action, reason) - include_model_id: If True, includes model_id in tuple (7 elements), else 6 elements. - include_load_balanced: If True, adds extra tests for load-balanced model groups. - - Returns: - List of tuples with model test parameters. - - 6-element: (provider, deployment, model_name, api_version, action, reason) - - 7-element: (provider, deployment, model_name, api_version, model_id, action, reason) - """ - models = cls._fetch_all_approved_models() - test_params: List[Tuple[str, ...]] = [] - models_by_model_name: Dict[str, List[Tuple[str, ...]]] = defaultdict(list) - - for model_data in models: - model_info = model_data.get("model_info", {}) or {} - - provider, deployment, model_name, api_version = cls.extract_model_params( - model_data, - ) - - model_test_action, model_test_action_reason = should_skip_model( - provider, - deployment, - model_name, - api_version, - model_info, - ) - - if model_test_action.applicable(): - if include_model_id: - model_id = str(model_info.get("id")) - params_tuple: Tuple[str, ...] = ( - provider, - deployment, - model_name, - api_version, - model_id, - model_test_action, - model_test_action_reason, - ) - else: - params_tuple = ( - provider, - deployment, - model_name, - api_version, - model_test_action, - model_test_action_reason, - ) - - test_params.append(params_tuple) - - if include_load_balanced: - models_by_model_name[model_name].append(params_tuple) - - if include_load_balanced and include_model_id: - for load_balanced_model_name, deployments in models_by_model_name.items(): - if len(deployments) <= 1: - continue - - first_deployment = deployments[0] - test_params.append( - ( - first_deployment[0], # provider - "load_balanced", - load_balanced_model_name, - "load_balanced", - load_balanced_model_name, # model_id = model_name for LB - first_deployment[5], # model_test_action - first_deployment[6], # model_test_action_reason - ), - ) - - return test_params - - -class UserKeyTestMixin: - """Mixin for tests that need to create users and API keys.""" - - allowed_routes: list[str] = [] - - _base_url: str = None - _master_api_key: str = None - admin_client: httpx.Client = None - - @classmethod - def setup_admin_client(cls): - cls._base_url = get_litellm_base_url() - cls._master_api_key = get_litellm_api_key() - verify_setting = ( - False - if use_local_litellm() - else BaseLiteLLMIntegrationTest._get_ssl_verify_setting() - ) - cls.admin_client = httpx.Client(base_url=cls._base_url, verify=verify_setting) - - @classmethod - def teardown_admin_client(cls): - if cls.admin_client: - cls.admin_client.close() - - @staticmethod - def unique_suffix() -> str: - return f"{time.strftime('%Y%m%d%H%M%S')}{int(time.time() * 1000) % 1000:03d}" - - @classmethod - def create_user_and_key(cls, user_suffix: str) -> tuple[str, str, str]: - user_email = f"test-user-{user_suffix}-{cls.unique_suffix()}@test.com" - user_response = cls.admin_client.post( - "/user/new", - json={ - "user_email": user_email, - "user_alias": user_email, - "user_role": "internal_user", - "auto_create_key": "false", - }, - headers={ - "Authorization": f"Bearer {cls._master_api_key}", - "Content-Type": "application/json", - }, - timeout=30, - ) - assert user_response.status_code == 200, ( - f"Failed to create user: {user_response.status_code} - {user_response.text}" - ) - user_id = user_response.json().get("user_id") - - key_alias = user_email.replace("@", "-at-").replace(".", "-") - key_response = cls.admin_client.post( - "/key/generate", - json={ - "user_id": user_id, - "key_alias": key_alias, - "allowed_routes": cls.allowed_routes, - }, - headers={ - "Authorization": f"Bearer {cls._master_api_key}", - "Content-Type": "application/json", - }, - timeout=30, - ) - assert key_response.status_code == 200, ( - f"Failed to create key: {key_response.status_code} - {key_response.text}" - ) - api_key = key_response.json().get("key") - - print(f"Created user {user_email}") - return user_id, api_key, user_email - - @classmethod - def create_user_key_and_client( - cls, - user_suffix: str, - ) -> tuple[str, str, str, openai.OpenAI]: - user_id, api_key, user_email = cls.create_user_and_key(user_suffix) - verify_setting = ( - False - if use_local_litellm() - else BaseLiteLLMIntegrationTest._get_ssl_verify_setting() - ) - client = openai.OpenAI( - base_url=cls._base_url, - api_key=api_key, - http_client=httpx.Client(verify=verify_setting), - ) - return user_id, api_key, user_email, client - - @classmethod - def create_key_and_client( - cls, - user_id: str, - key_suffix: str, - ) -> tuple[str, openai.OpenAI]: - key_alias = f"additional-key-{key_suffix}-{cls.unique_suffix()}" - key_response = cls.admin_client.post( - "/key/generate", - json={ - "user_id": user_id, - "key_alias": key_alias, - "allowed_routes": cls.allowed_routes, - }, - headers={ - "Authorization": f"Bearer {cls._master_api_key}", - "Content-Type": "application/json", - }, - timeout=30, - ) - assert key_response.status_code == 200, ( - f"Failed to create additional key: {key_response.status_code} - {key_response.text}" - ) - api_key = key_response.json().get("key") - verify_setting = ( - False - if use_local_litellm() - else BaseLiteLLMIntegrationTest._get_ssl_verify_setting() - ) - client = openai.OpenAI( - base_url=cls._base_url, - api_key=api_key, - http_client=httpx.Client(verify=verify_setting), - ) - print(f"Created additional key for user {user_id}") - return api_key, client \ No newline at end of file diff --git a/tests/proxy_e2e_azure_batches_tests/conftest.py b/tests/proxy_e2e_azure_batches_tests/conftest.py deleted file mode 100644 index 1bad010a206..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/conftest.py +++ /dev/null @@ -1,311 +0,0 @@ -""" -Pytest configuration for Azure Batch E2E Tests. - -This conftest manages: -1. Mock Azure Batch server (FastAPI on port 8090) -2. LiteLLM proxy server (port 4000) -3. PostgreSQL database setup -""" - -import asyncio -import os -import subprocess -import sys -import time -from pathlib import Path -from typing import Generator - -import httpx -import pytest - -_test_dir = Path(__file__).parent -sys.path.insert(0, str(_test_dir.parent.parent)) # litellm root -sys.path.insert(0, str(_test_dir)) # test directory for local imports - -LOG_DIR = _test_dir - - -def pytest_configure(config): - """Ensure test directory is in Python path before collection.""" - test_dir = Path(__file__).parent - if str(test_dir) not in sys.path: - sys.path.insert(0, str(test_dir)) - - -MOCK_SERVER_PORT = 8090 -MOCK_SERVER_URL = f"http://localhost:{MOCK_SERVER_PORT}" -LITELLM_PROXY_PORT = 4000 -LITELLM_PROXY_URL = f"http://localhost:{LITELLM_PROXY_PORT}" -DATABASE_URL = "postgresql://llmproxy:dbpassword9090@localhost:5432/litellm" - - -def kill_process_on_port(port: int) -> None: - """Kill any process using the specified port.""" - try: - result = subprocess.run( - ["lsof", "-ti", f":{port}"], - capture_output=True, - text=True, - timeout=5, - ) - if result.stdout.strip(): - pids = result.stdout.strip().split("\n") - for pid in pids: - try: - subprocess.run(["kill", "-9", pid.strip()], timeout=5) - except Exception: - pass - time.sleep(1) - except Exception: - pass - - -def wait_for_server(url: str, max_attempts: int = 30, delay: float = 1.0) -> bool: - """Wait for a server to become available at url/health. - - Any HTTP response (including 401) means the server is up. - Only connection errors count as "not ready yet". - """ - for attempt in range(max_attempts): - try: - response = httpx.get(f"{url}/health", timeout=2.0) - return True - except (httpx.ConnectError, httpx.TimeoutException, httpx.NetworkError): - pass - except Exception: - pass - if attempt < max_attempts - 1: - time.sleep(delay) - return False - - -def _read_log_tail(log_path: Path, max_lines: int = 80) -> str: - """Read the last N lines of a log file, returning empty string if not found.""" - if not log_path.exists(): - return "(log file not found)" - try: - text = log_path.read_text() - lines = text.strip().splitlines() - if len(lines) > max_lines: - return f"... ({len(lines) - max_lines} lines truncated) ...\n" + "\n".join( - lines[-max_lines:] - ) - return text - except Exception as e: - return f"(error reading log: {e})" - - -def _check_process_alive(process: subprocess.Popen, label: str, log_path: Path): - """Check if a subprocess crashed immediately after starting. - Raises pytest.fail with log output if the process has already exited. - """ - time.sleep(1) - exit_code = process.poll() - if exit_code is not None: - log_output = _read_log_tail(log_path) - pytest.fail( - f"{label} exited immediately with code {exit_code}.\n" - f"--- {label} log ({log_path}) ---\n{log_output}\n" - f"--- end log ---" - ) - - -def setup_database() -> bool: - """Ensure PostgreSQL database exists and is accessible.""" - try: - import psycopg2 - - conn = psycopg2.connect( - host="localhost", - port=5432, - database="litellm", - user="llmproxy", - password="dbpassword9090", - connect_timeout=5, - ) - conn.close() - return True - except ImportError: - print("WARNING: psycopg2 not installed — cannot verify database") - return False - except Exception: - return False - - -@pytest.fixture(scope="session") -def mock_azure_server() -> Generator[str, None, None]: - """Start mock Azure batch server as a subprocess.""" - print(f"\n{'=' * 60}") - print("Setting up Mock Azure Batch Server") - print(f"{'=' * 60}") - - kill_process_on_port(MOCK_SERVER_PORT) - - runner_script = Path(__file__).parent / "fixtures" / "run_mock_server.py" - runner_script.write_text( - """ -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).parent.parent)) - -from fixtures.mock_azure_batch_server import create_mock_azure_batch_server -import uvicorn - -if __name__ == "__main__": - app = create_mock_azure_batch_server() - uvicorn.run(app, host="0.0.0.0", port=8090, log_level="info", access_log=False) -""" - ) - - mock_log = LOG_DIR / "mock_server.log" - log_file = open(mock_log, "w") - - print(f"Starting mock server on port {MOCK_SERVER_PORT}...") - print(f"Log file: {mock_log}") - process = subprocess.Popen( - [sys.executable, str(runner_script)], - stdout=log_file, - stderr=subprocess.STDOUT, - cwd=Path(__file__).parent, - ) - - _check_process_alive(process, "Mock server", mock_log) - - if not wait_for_server(MOCK_SERVER_URL, max_attempts=30, delay=1.0): - log_output = _read_log_tail(mock_log) - exit_code = process.poll() - process.terminate() - try: - process.wait(timeout=5) - except subprocess.TimeoutExpired: - process.kill() - process.wait() - log_file.close() - pytest.fail( - f"Mock server failed to start on port {MOCK_SERVER_PORT} " - f"(process exit_code={exit_code}).\n" - f"--- mock server log ---\n{log_output}\n--- end log ---\n" - f"Hint: ensure 'uvicorn' and 'fastapi' are installed." - ) - - print(f"Mock Azure server ready at {MOCK_SERVER_URL}") - yield MOCK_SERVER_URL - - print("\nShutting down mock server...") - try: - process.terminate() - process.wait(timeout=5) - except subprocess.TimeoutExpired: - process.kill() - process.wait() - log_file.close() - print("Mock server stopped") - - -@pytest.fixture(scope="session") -def litellm_proxy_server(mock_azure_server: str) -> Generator[str, None, None]: - """Start LiteLLM proxy server for the test session.""" - print(f"\n{'=' * 60}") - print("Setting up LiteLLM Proxy Server") - print(f"{'=' * 60}") - - if not setup_database(): - pytest.skip( - "PostgreSQL database not available at localhost:5432. " - "Start PostgreSQL and create a 'litellm' database:\n" - " docker run -d --name litellm-db -p 5432:5432 " - '-e POSTGRES_USER=llmproxy -e POSTGRES_PASSWORD=dbpassword9090 ' - "-e POSTGRES_DB=litellm postgres:15\n" - "Then run: prisma db push --schema=litellm/proxy/schema.prisma" - ) - print("Database connection verified") - - config_path = Path(__file__).parent / "fixtures" / "config.yml" - if not config_path.exists(): - pytest.fail(f"Config file not found: {config_path}") - print("Config file found") - - kill_process_on_port(LITELLM_PROXY_PORT) - - os.environ["MOCK_SERVER_URL_V1"] = f"{mock_azure_server}/v1" - os.environ["MOCK_SERVER_URL_OPENAI_V1"] = f"{mock_azure_server}/openai/v1" - os.environ["DATABASE_URL"] = DATABASE_URL - os.environ["USE_LOCAL_LITELLM"] = "true" - os.environ["USE_MOCK_MODELS"] = "true" - os.environ["USE_STATE_TRACKER"] = "true" - os.environ["PROXY_BATCH_POLLING_INTERVAL"] = "10" - - print("Environment configured") - - print(f"Starting LiteLLM proxy on port {LITELLM_PROXY_PORT}...") - litellm_root = Path(__file__).parent.parent.parent - - cmd = [ - sys.executable, - "-m", - "litellm.proxy.proxy_cli", - "--config", - str(config_path), - "--port", - str(LITELLM_PROXY_PORT), - "--detailed_debug", - ] - - proxy_log = LOG_DIR / "proxy_server.log" - log_file = open(proxy_log, "w") - print(f"Log file: {proxy_log}") - - process = subprocess.Popen( - cmd, - stdout=log_file, - stderr=subprocess.STDOUT, - env=os.environ.copy(), - cwd=litellm_root, - ) - - _check_process_alive(process, "LiteLLM proxy", proxy_log) - - if not wait_for_server(LITELLM_PROXY_URL, max_attempts=60, delay=1.0): - log_output = _read_log_tail(proxy_log) - exit_code = process.poll() - process.terminate() - try: - process.wait(timeout=5) - except subprocess.TimeoutExpired: - process.kill() - process.wait() - log_file.close() - pytest.fail( - f"LiteLLM proxy failed to start on port {LITELLM_PROXY_PORT} " - f"(process exit_code={exit_code}).\n" - f"--- proxy log (last 80 lines) ---\n{log_output}\n--- end log ---\n" - f"Hints:\n" - f" 1. Ensure Prisma client is generated: " - f"cd {litellm_root} && prisma generate --schema=litellm/proxy/schema.prisma\n" - f" 2. Ensure DB migrations are applied: " - f"prisma db push --schema=litellm/proxy/schema.prisma\n" - f" 3. Check the full log at: {proxy_log}" - ) - - print(f"LiteLLM proxy ready at {LITELLM_PROXY_URL}") - yield LITELLM_PROXY_URL - - print("\nShutting down LiteLLM proxy...") - try: - process.terminate() - process.wait(timeout=10) - except subprocess.TimeoutExpired: - process.kill() - process.wait() - log_file.close() - print("LiteLLM proxy stopped") - - -@pytest.fixture(scope="session") -def event_loop(): - """Provide an event loop for async tests.""" - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - yield loop - loop.close() diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/__init__.py b/tests/proxy_e2e_azure_batches_tests/fixtures/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/config.yml b/tests/proxy_e2e_azure_batches_tests/fixtures/config.yml deleted file mode 100644 index c991a32aab1..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/config.yml +++ /dev/null @@ -1,56 +0,0 @@ -model_list: - - model_name: openai-fake-gpt-3.5-turbo - litellm_params: - model: openai/openai-fake-gpt-3.5-turbo - api_base: os.environ/MOCK_SERVER_URL_V1 - api_key: fake-key - - model_name: openai-fake-gpt-4 - litellm_params: - model: openai/openai-fake-gpt-4 - api_base: os.environ/MOCK_SERVER_URL_V1 - api_key: fake-key - - model_name: openai-fake-gpt-4o - litellm_params: - model: openai/openai-fake-gpt-4o - api_base: os.environ/MOCK_SERVER_URL_V1 - api_key: fake-key - - model_name: fake-text-embedding-3-small - litellm_params: - model: openai/fake-text-embedding-3-small - api_base: os.environ/MOCK_SERVER_URL_V1 - api_key: fake-key - - model_name: o3-mini-batch-2025-01-31 - litellm_params: - model: openai/o3-mini-batch-2025-01-31 - api_base: os.environ/MOCK_SERVER_URL_OPENAI_V1 - api_key: fake-key - model_info: - mode: batch - - model_name: azure-fake-gpt-5-batch-2025-08-07 - litellm_params: - api_base: http://0.0.0.0:8090 - api_key: fake-key - api_version: 2025-03-01-preview - base_model: azure/gpt-5 - model: azure/gpt-5-mini - custom_llm_provider: azure - -general_settings: - master_key: sk-1234 - database_url: os.environ/DATABASE_URL - proxy_batch_polling_interval: 10 - -litellm_settings: - drop_params: true - set_verbose: true - json_logs: true - # S3 callback for batch completion logging (points to mock server) - callbacks: ["s3_v2"] - s3_callback_params: - s3_bucket_name: litellm-test-bucket - s3_region_name: us-east-1 - s3_endpoint_url: http://0.0.0.0:8090 - s3_aws_access_key_id: fake-key - s3_aws_secret_access_key: fake-secret - s3_use_ssl: false - s3_verify: false \ No newline at end of file diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/__init__.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/__init__.py deleted file mode 100644 index 3452b3aa501..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .server import create_mock_azure_batch_server - -__all__ = ["create_mock_azure_batch_server"] diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_azure_batch.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_azure_batch.py deleted file mode 100644 index 940f32f595f..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_azure_batch.py +++ /dev/null @@ -1,517 +0,0 @@ -import asyncio -import io -import json -import logging -import time -import uuid -from typing import Dict, List, Optional - -from fastapi import FastAPI, HTTPException, Query, Request, UploadFile -from fastapi.responses import StreamingResponse -from pydantic import BaseModel - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -class FileObject(BaseModel): - id: str - object: str = "file" - bytes: int - created_at: int - filename: str - purpose: str - status: str = "processed" - status_details: Optional[str] = None - expires_at: Optional[int] = None - - -class BatchObject(BaseModel): - id: str - object: str = "batch" - endpoint: str - errors: Optional[Dict] = None - input_file_id: str - completion_window: str - status: str - output_file_id: Optional[str] = None - error_file_id: Optional[str] = None - created_at: int - in_progress_at: Optional[int] = None - expires_at: Optional[int] = None - finalizing_at: Optional[int] = None - completed_at: Optional[int] = None - failed_at: Optional[int] = None - expired_at: Optional[int] = None - cancelling_at: Optional[int] = None - cancelled_at: Optional[int] = None - request_counts: Optional[Dict[str, int]] = None - metadata: Optional[Dict] = None - - -class BatchListResponse(BaseModel): - object: str = "list" - data: List[Dict] - first_id: Optional[str] = None - last_id: Optional[str] = None - has_more: bool = False - - -file_storage: Dict[str, Dict] = {} -batch_storage: Dict[str, BatchObject] = {} -batch_results: Dict[str, List[Dict]] = {} - -PROCESSING_DELAY_SECONDS = float(1) -VALIDATING_DELAY_SECONDS = float(3) - - -async def process_batch(batch_id: str): - logger.info(f"Starting batch processing for {batch_id}") - try: - batch = batch_storage[batch_id] - - await asyncio.sleep(VALIDATING_DELAY_SECONDS) - batch.status = "in_progress" - batch.in_progress_at = int(time.time()) - logger.info(f"Batch {batch_id} status: in_progress") - - await process_batch_requests(batch_id) - await asyncio.sleep(PROCESSING_DELAY_SECONDS) - - batch.status = "finalizing" - batch.finalizing_at = int(time.time()) - logger.info(f"Batch {batch_id} status: finalizing") - await asyncio.sleep(PROCESSING_DELAY_SECONDS) - - await create_output_file(batch_id) - - batch.status = "completed" - batch.completed_at = int(time.time()) - logger.info(f"Batch {batch_id} status: completed") - - except Exception as e: - logger.error(f"Batch {batch_id} failed: {e}") - batch = batch_storage[batch_id] - batch.status = "failed" - batch.failed_at = int(time.time()) - batch.errors = { - "object": "list", - "data": [{"code": "processing_error", "message": str(e)}], - } - - -async def process_batch_requests(batch_id: str): - batch = batch_storage[batch_id] - input_file = file_storage[batch.input_file_id] - - requests = [] - for line in input_file["content"].split("\n"): - if line.strip(): - try: - requests.append(json.loads(line)) - except json.JSONDecodeError as e: - logger.warning(f"Invalid JSON line in batch {batch_id}: {e}") - - logger.info(f"Batch {batch_id} has {len(requests)} requests") - - results = [] - failed_count = 0 - for req in requests: - result = await process_single_request(req) - if result.get("error"): - failed_count += 1 - results.append(result) - - batch_results[batch_id] = results - batch.request_counts = { - "total": len(requests), - "completed": len(results) - failed_count, - "failed": failed_count, - } - - -async def process_single_request(request_data: Dict) -> Dict: - custom_id = request_data.get("custom_id") - url = request_data.get("url", "/v1/chat/completions") - body = request_data.get("body", {}) - - if "/chat/completions" in url: - response_body = { - "id": f"chatcmpl-{uuid.uuid4().hex}", - "object": "chat.completion", - "created": int(time.time()), - "model": body.get("model", "gpt-4o"), - "choices": [ - { - "index": 0, - "message": {"role": "assistant", "content": "Mock batch response."}, - "finish_reason": "stop", - }, - ], - "usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15}, - } - status_code = 200 - else: - response_body = {"error": {"message": f"Unsupported endpoint: {url}"}} - status_code = 400 - - return { - "id": f"batch_req_{uuid.uuid4().hex[:12]}", - "custom_id": custom_id, - "response": { - "status_code": status_code, - "request_id": f"req_{uuid.uuid4().hex[:12]}", - "body": response_body, - }, - "error": None, - } - - -async def create_output_file(batch_id: str): - results = batch_results.get(batch_id, []) - output_lines = [json.dumps(result) for result in results] - output_content = "\n".join(output_lines) - - output_file_id = f"file-batch-output-{uuid.uuid4().hex[:12]}" - file_storage[output_file_id] = { - "content": output_content, - "filename": f"batch_output_{batch_id}.jsonl", - "purpose": "batch_output", - "bytes": len(output_content.encode()), - "created_at": int(time.time()), - } - - batch = batch_storage[batch_id] - batch.output_file_id = output_file_id - logger.info(f"Created output file {output_file_id} for batch {batch_id}") - - -def validate_batch_input(content: str) -> tuple[bool, str, List[Dict]]: - requests = [] - custom_ids = set() - - lines = content.strip().split("\n") - if not lines or all(not line.strip() for line in lines): - return False, "empty_batch", [] - - for line_num, line in enumerate(lines, 1): - if not line.strip(): - continue - try: - req = json.loads(line) - except json.JSONDecodeError: - return False, "invalid_json_line", [] - - for field in ["custom_id", "method", "url", "body"]: - if field not in req: - return False, "invalid_request", [] - - if req["custom_id"] in custom_ids: - return False, "duplicate_custom_id", [] - custom_ids.add(req["custom_id"]) - - requests.append(req) - - if len(requests) > 100000: - return False, "too_many_tasks", [] - - return True, "", requests - - -def setup_batch_routes(app: FastAPI): - # Files endpoints (OpenAI and Azure paths) - @app.post("/openai/v1/files") - @app.post("/openai/files") - @app.post("/v1/files") - @app.post("/files") - async def create_file(request: Request): - form = await request.form() - logger.info(f"File upload form fields: {list(form.keys())}") - - file: UploadFile = form.get("file") - purpose: str = form.get("purpose", "batch") - - if not file: - raise HTTPException(status_code=400, detail="No file provided") - - logger.info(f"Uploading file: {file.filename}, purpose: {purpose}") - - content = await file.read() - content_str = content.decode("utf-8") - - file_id = f"file-{uuid.uuid4().hex[:24]}" - created_at = int(time.time()) - - expires_at = None - expires_after_seconds = form.get("expires_after[seconds]") - if expires_after_seconds: - try: - seconds = int(expires_after_seconds) - logger.info(f"expires_after[seconds] = {seconds}") - if seconds < 259200 or seconds > 2592000: - raise HTTPException( - status_code=400, - detail={ - "error": { - "code": "invalidPayload", - "message": "Value for Seconds must be between 259200 and 2592000.", - }, - }, - ) - expires_at = created_at + seconds - logger.info(f"Calculated expires_at: {expires_at}") - except ValueError as e: - logger.warning(f"Failed to parse expires_after[seconds]: {e}") - - file_storage[file_id] = { - "content": content_str, - "filename": file.filename or "batch_input.jsonl", - "purpose": purpose, - "bytes": len(content), - "created_at": created_at, - "expires_at": expires_at, - } - - logger.info(f"Created file {file_id}, expires_at={expires_at}") - return FileObject( - id=file_id, - bytes=len(content), - created_at=created_at, - filename=file.filename or "batch_input.jsonl", - purpose=purpose, - expires_at=expires_at, - ).model_dump() - - @app.get("/openai/v1/files/{file_id}") - @app.get("/openai/files/{file_id}") - @app.get("/v1/files/{file_id}") - @app.get("/files/{file_id}") - async def get_file(file_id: str): - logger.info(f"Getting file: {file_id}") - if file_id not in file_storage: - raise HTTPException(status_code=404, detail="File not found") - - file_data = file_storage[file_id] - return FileObject( - id=file_id, - bytes=file_data["bytes"], - created_at=file_data["created_at"], - filename=file_data["filename"], - purpose=file_data["purpose"], - expires_at=file_data.get("expires_at"), - ).model_dump() - - @app.get("/openai/v1/files/{file_id}/content") - @app.get("/openai/files/{file_id}/content") - @app.get("/v1/files/{file_id}/content") - @app.get("/files/{file_id}/content") - async def get_file_content(file_id: str): - logger.info(f"Getting file content: {file_id}") - if file_id not in file_storage: - raise HTTPException(status_code=404, detail="File not found") - - file_data = file_storage[file_id] - content = file_data["content"] - - return StreamingResponse( - io.StringIO(content), - media_type="application/octet-stream", - headers={ - "Content-Disposition": f"attachment; filename={file_data['filename']}", - }, - ) - - @app.delete("/openai/v1/files/{file_id}") - @app.delete("/openai/files/{file_id}") - @app.delete("/v1/files/{file_id}") - @app.delete("/files/{file_id}") - async def delete_file(file_id: str): - logger.info(f"Deleting file: {file_id}") - if file_id not in file_storage: - raise HTTPException(status_code=404, detail="File not found") - - del file_storage[file_id] - return {"id": file_id, "object": "file", "deleted": True} - - @app.get("/openai/v1/files") - @app.get("/openai/files") - @app.get("/v1/files") - @app.get("/files") - async def list_files( - purpose: Optional[str] = None, - limit: int = Query(10000, le=10000), - ): - logger.info(f"Listing files, purpose: {purpose}, limit: {limit}") - files = [] - for file_id, file_data in file_storage.items(): - if purpose is None or file_data.get("purpose") == purpose: - files.append( - FileObject( - id=file_id, - bytes=file_data["bytes"], - created_at=file_data["created_at"], - filename=file_data["filename"], - purpose=file_data["purpose"], - expires_at=file_data.get("expires_at"), - ).model_dump(), - ) - return {"object": "list", "data": files[:limit]} - - # Batches endpoints (OpenAI and Azure paths) - @app.post("/openai/v1/batches") - @app.post("/openai/batches") - @app.post("/v1/batches") - @app.post("/batches") - async def create_batch(request_data: dict): - input_file_id = request_data.get("input_file_id") - endpoint = request_data.get("endpoint", "/v1/chat/completions") - completion_window = request_data.get("completion_window", "24h") - metadata = request_data.get("metadata", {}) - output_expires_after = request_data.get("output_expires_after") - - logger.info( - f"Creating batch with input_file: {input_file_id}, endpoint: {endpoint}, output_expires_after: {output_expires_after}", - ) - - if not input_file_id or input_file_id not in file_storage: - raise HTTPException(status_code=400, detail="Input file not found") - - input_file = file_storage[input_file_id] - is_valid, error_code, _ = validate_batch_input(input_file["content"]) - if not is_valid: - raise HTTPException( - status_code=400, - detail={ - "error": { - "code": error_code, - "message": f"Validation failed: {error_code}", - }, - }, - ) - - batch_id = f"batch_{uuid.uuid4()}" - created_at = int(time.time()) - - if output_expires_after: - seconds = ( - output_expires_after.get("seconds", 0) - if isinstance(output_expires_after, dict) - else 0 - ) - expires_at = created_at + seconds - logger.info( - f"Using output_expires_after: {seconds}s, expires_at: {expires_at}", - ) - elif completion_window == "24h": - expires_at = created_at + (24 * 60 * 60) - else: - expires_at = created_at + (24 * 60 * 60) - - batch = BatchObject( - id=batch_id, - endpoint=endpoint, - input_file_id=input_file_id, - completion_window=completion_window, - status="validating", - created_at=created_at, - expires_at=expires_at, - request_counts={"total": 0, "completed": 0, "failed": 0}, - metadata=metadata, - ) - - batch_storage[batch_id] = batch - logger.info(f"Created batch {batch_id}") - - asyncio.create_task(process_batch(batch_id)) - - return batch.model_dump() - - @app.get("/openai/v1/batches/{batch_id}") - @app.get("/openai/batches/{batch_id}") - @app.get("/v1/batches/{batch_id}") - @app.get("/batches/{batch_id}") - async def get_batch(batch_id: str): - logger.info(f"Getting batch: {batch_id}") - if batch_id not in batch_storage: - raise HTTPException(status_code=404, detail="Batch not found") - - return batch_storage[batch_id].model_dump() - - @app.get("/openai/v1/batches") - @app.get("/openai/batches") - @app.get("/v1/batches") - @app.get("/batches") - async def list_batches( - after: Optional[str] = Query(None), - limit: int = Query(20, le=100), - ): - logger.info(f"Listing batches, after: {after}, limit: {limit}") - batches = list(batch_storage.values()) - batches.sort(key=lambda x: x.created_at, reverse=True) - - if after: - after_index = next((i for i, b in enumerate(batches) if b.id == after), -1) - if after_index >= 0: - batches = batches[after_index + 1 :] - - batches = batches[:limit] - - return BatchListResponse( - data=[batch.model_dump() for batch in batches], - first_id=batches[0].id if batches else None, - last_id=batches[-1].id if batches else None, - has_more=len(batches) == limit, - ).model_dump() - - @app.post("/openai/v1/batches/{batch_id}/cancel") - @app.post("/openai/batches/{batch_id}/cancel") - @app.post("/v1/batches/{batch_id}/cancel") - @app.post("/batches/{batch_id}/cancel") - async def cancel_batch(batch_id: str): - logger.info(f"Cancelling batch: {batch_id}") - if batch_id not in batch_storage: - raise HTTPException(status_code=404, detail="Batch not found") - - batch = batch_storage[batch_id] - if batch.status in ["completed", "failed", "cancelled", "expired"]: - raise HTTPException( - status_code=400, - detail=f"Cannot cancel batch in {batch.status} status", - ) - - batch.status = "cancelled" - batch.cancelled_at = int(time.time()) - logger.info(f"Batch {batch_id} cancelled") - - return batch.model_dump() - - # Debug endpoints - @app.get("/debug/batches") - async def debug_list_batches(): - return { - "batches": { - batch_id: batch.model_dump() - for batch_id, batch in batch_storage.items() - }, - "files": { - file_id: {k: v for k, v in data.items() if k != "content"} - for file_id, data in file_storage.items() - }, - } - - @app.post("/reset") - @app.post("/debug/clear") - async def reset_all(): - file_storage.clear() - batch_storage.clear() - batch_results.clear() - logger.info("All data cleared") - return {"message": "All data cleared"} - - @app.get("/debug/status") - async def debug_status(): - return { - "files_count": len(file_storage), - "batches_count": len(batch_storage), - "batch_statuses": {bid: b.status for bid, b in batch_storage.items()}, - } diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_chat.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_chat.py deleted file mode 100644 index c33523579a5..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_chat.py +++ /dev/null @@ -1,124 +0,0 @@ -import json -import time -import uuid -from datetime import datetime - -from fastapi import FastAPI, Request -from fastapi.responses import StreamingResponse - - -def get_request_details(request: Request, body: dict = None) -> str: - details = { - "method": request.method, - "url": str(request.url), - "path": request.url.path, - "headers": dict(request.headers), - "query_params": dict(request.query_params), - } - return json.dumps(details, indent=2) - - -def data_generator(response_details: str, model: str): - response_id = uuid.uuid4().hex - content = response_details - chunk_size = 50 - for i in range(0, len(content), chunk_size): - text_chunk = content[i : i + chunk_size] - chunk = { - "id": f"chatcmpl-{response_id}", - "object": "chat.completion.chunk", - "created": int(time.time()), - "model": model, - "choices": [{"index": 0, "delta": {"content": text_chunk}}], - } - yield f"data: {json.dumps(chunk)}\n\n" - final_chunk = { - "id": f"chatcmpl-{response_id}", - "object": "chat.completion.chunk", - "created": int(time.time()), - "model": model, - "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}], - } - yield f"data: {json.dumps(final_chunk)}\n\n" - yield "data: [DONE]\n\n" - - -def setup_chat_routes(app: FastAPI): - @app.post("/chat/completions") - @app.post("/v1/chat/completions") - @app.post("/openai/deployments/{model:path}/chat/completions") - async def completion(request: Request): - data = await request.json() - model = data.get("model", "unknown") - request_details = get_request_details(request, data) - timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - response_details = f"Request:{request_details}, Canned Response:{timestamp}" - - if data.get("stream"): - return StreamingResponse( - content=data_generator(response_details, model), - media_type="text/event-stream", - ) - else: - response_id = uuid.uuid4().hex - response = { - "id": f"chatcmpl-{response_id}", - "object": "chat.completion", - "created": int(time.time()), - "model": model, - "system_fingerprint": "fp_mock_server", - "choices": [ - { - "index": 0, - "message": { - "role": "assistant", - "content": response_details, - }, - "logprobs": None, - "finish_reason": "stop", - }, - ], - "usage": { - "prompt_tokens": 9, - "completion_tokens": 12, - "total_tokens": 21, - }, - } - return response - - @app.post("/completions") - @app.post("/v1/completions") - async def text_completion(request: Request): - data = await request.json() - model = data.get("model", "unknown") - request_details = get_request_details(request, data) - timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - response_details = f"Request:{request_details}, Canned Response:{timestamp}" - - if data.get("stream"): - return StreamingResponse( - content=data_generator(response_details, model), - media_type="text/event-stream", - ) - else: - response = { - "id": f"cmpl-{uuid.uuid4().hex}", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": None, - "text": response_details, - }, - ], - "created": int(time.time()), - "model": model, - "object": "text_completion", - "system_fingerprint": None, - "usage": { - "completion_tokens": 16, - "prompt_tokens": 10, - "total_tokens": 26, - }, - } - return response diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_embeddings.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_embeddings.py deleted file mode 100644 index f31b1ad4b8f..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_embeddings.py +++ /dev/null @@ -1,23 +0,0 @@ -from fastapi import FastAPI, Request - - -def setup_embeddings_routes(app: FastAPI): - @app.post("/embeddings") - @app.post("/v1/embeddings") - @app.post("/openai/deployments/{model:path}/embeddings") - async def embeddings(request: Request): - data = await request.json() - model = data.get("model", "unknown") - _small_embedding = [ - -0.006929283495992422, - -0.005336422007530928, - -4.547132266452536e-05, - -0.024047505110502243, - ] - big_embedding = _small_embedding * 100 - return { - "object": "list", - "data": [{"object": "embedding", "index": 0, "embedding": big_embedding}], - "model": model, - "usage": {"prompt_tokens": 5, "total_tokens": 5}, - } diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_responses.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_responses.py deleted file mode 100644 index 94cb25794b1..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_responses.py +++ /dev/null @@ -1,170 +0,0 @@ -import json -import re -import time -import uuid -from datetime import datetime - -from typing import Any - -from fastapi import FastAPI, Request, HTTPException - - -# Header to identify which model/deployment this request targets (simulates Azure model-specific encryption). -# When set, the mock validates that encrypted_content in input was produced by this model. -MOCK_AZURE_MODEL_HEADER = "X-Mock-Azure-Model" - -# Prefix we use in mock encrypted_content: gAAA_model__<32hex uuid> -# Model id can contain underscores (e.g. gpt-5.1-codex-openai-2). -ENCRYPTED_CONTENT_MODEL_PREFIX = re.compile(r"^gAAA_model_(.+)_[0-9a-f]{32}$") - - -def _extract_model_from_encrypted_content(encrypted: str) -> str | None: - """Extract model id from our mock encrypted_content format, or None if not our format.""" - if not isinstance(encrypted, str) or not encrypted.startswith("gAAA"): - return None - m = ENCRYPTED_CONTENT_MODEL_PREFIX.match(encrypted) - return m.group(1) if m else None - - -def _collect_encrypted_contents(obj, out: list[str]) -> None: - """Recursively collect all encrypted_content string values from input structure.""" - if isinstance(obj, dict): - if "encrypted_content" in obj and obj["encrypted_content"]: - out.append(obj["encrypted_content"]) - for v in obj.values(): - _collect_encrypted_contents(v, out) - elif isinstance(obj, list): - for item in obj: - _collect_encrypted_contents(item, out) - - -def _validate_encrypted_content_model(request_model: str | None, input_data: Any) -> str | None: - """ - If request_model is set, check that all encrypted_content in input was produced by this model. - Returns error message if validation fails, else None. - Content with our format (gAAA_model__) must match request_model. - """ - if not request_model: - return None - encrypted_values: list[str] = [] - _collect_encrypted_contents(input_data, encrypted_values) - for enc in encrypted_values: - content_model = _extract_model_from_encrypted_content(enc) - if content_model is not None and content_model != request_model: - err = enc[:50] + "..." if len(enc) > 50 else enc - return f"The encrypted content {err} could not be verified." - return None - - -def get_request_details(request: Request, body: dict = None) -> str: - details = { - "method": request.method, - "url": str(request.url), - "path": request.url.path, - "headers": dict(request.headers), - "query_params": dict(request.query_params), - } - return json.dumps(details, indent=2) - - -def setup_responses_routes(app: FastAPI): - @app.post("/responses") - @app.post("/v1/responses") - @app.post("/openai/responses") - async def responses_api(request: Request): - data = await request.json() - model = data.get("model", "unknown") - - # Simulate Azure: encrypted content from one model cannot be verified by another. - input_data = data.get("input") - err_msg = _validate_encrypted_content_model(model, input_data) - if err_msg is not None: - raise HTTPException( - status_code=400, - detail={ - "error": { - "message": err_msg, - "type": "invalid_request_error", - "param": None, - "code": "invalid_encrypted_content", - } - }, - ) - - request_details = get_request_details(request, data) - timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - response_details = f"Request:{request_details}, Canned Response:{timestamp}" - response_id = uuid.uuid4().hex - message_id = f"msg_{uuid.uuid4().hex[:34]}" - reasoning_id = f"rs_{uuid.uuid4().hex[:34]}" - - output_items: list[dict[str, Any]] = [ - { - "id": message_id, - "content": [ - { - "annotations": [], - "text": response_details, - "type": "output_text", - "logprobs": [], - }, - ], - "role": "assistant", - "status": "completed", - "type": "message", - }, - ] - - if model: - output_items.append( - { - "id": reasoning_id, - "type": "reasoning", - "status": "completed", - "encrypted_content": f"gAAA_model_{model}_{uuid.uuid4().hex}", - } - ) - - return { - "id": f"resp_{response_id}", - "created_at": int(time.time()), - "error": None, - "incomplete_details": None, - "instructions": None, - "metadata": {}, - "model": model, - "object": "response", - "output": output_items, - "parallel_tool_calls": True, - "temperature": data.get("temperature", 1.0), - "tool_choice": data.get("tool_choice", "auto"), - "tools": data.get("tools", []), - "top_p": data.get("top_p", 1.0), - "max_output_tokens": data.get("max_output_tokens"), - "previous_response_id": None, - "reasoning": {"effort": None, "summary": None}, - "status": "completed", - "text": {"format": {"type": "text"}, "verbosity": "medium"}, - "truncation": "disabled", - "usage": { - "input_tokens": 11, - "input_tokens_details": { - "audio_tokens": None, - "cached_tokens": 0, - "text_tokens": None, - }, - "output_tokens": 19, - "output_tokens_details": {"reasoning_tokens": 0, "text_tokens": None}, - "total_tokens": 30, - "cost": None, - }, - "user": None, - "store": True, - "background": False, - "content_filters": None, - "max_tool_calls": None, - "prompt_cache_key": None, - "safety_identifier": None, - "service_tier": "default", - "top_logprobs": 0, - } diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_s3_callback.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_s3_callback.py deleted file mode 100644 index 8cc99a75b2a..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/mock_s3_callback.py +++ /dev/null @@ -1,98 +0,0 @@ -""" -Mock S3 callback receiver for testing LiteLLM S3 callbacks. - -This module provides S3-compatible endpoints that capture callback data -sent by LiteLLM's s3_v2 callback handler after batch completion. -""" - -import json -import logging -import time -from typing import Any, Dict, List, Optional - -from fastapi import FastAPI, Request -from pydantic import BaseModel - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -class S3CallbackRecord(BaseModel): - key: str - bucket: str - content: Dict[str, Any] - timestamp: int - content_type: Optional[str] = None - - -callback_storage: List[S3CallbackRecord] = [] - - -def setup_s3_callback_routes(app: FastAPI): - @app.put("/{bucket}/{key:path}") - async def s3_put_object(bucket: str, key: str, request: Request): - content_type = request.headers.get("content-type", "application/json") - body = await request.body() - - try: - content = json.loads(body.decode("utf-8")) - except (json.JSONDecodeError, UnicodeDecodeError): - content = {"raw": body.decode("utf-8", errors="replace")} - - record = S3CallbackRecord( - key=key, - bucket=bucket, - content=content, - timestamp=int(time.time()), - content_type=content_type, - ) - callback_storage.append(record) - - logger.info(f"S3 callback received: bucket={bucket}, key={key}") - logger.debug(f"Callback content: {json.dumps(content, indent=2)[:500]}") - - return { - "ETag": f'"{hash(body)}"', - "VersionId": None, - } - - @app.get("/mock-s3/callbacks") - async def list_callbacks( - bucket: Optional[str] = None, - key_prefix: Optional[str] = None, - limit: int = 100, - ): - results = callback_storage - - if bucket: - results = [r for r in results if r.bucket == bucket] - - if key_prefix: - results = [r for r in results if r.key.startswith(key_prefix)] - - return { - "count": len(results), - "callbacks": [r.model_dump() for r in results[-limit:]], - } - - @app.get("/mock-s3/callbacks/count") - async def count_callbacks(bucket: Optional[str] = None): - if bucket: - count = sum(1 for r in callback_storage if r.bucket == bucket) - else: - count = len(callback_storage) - - return {"count": count} - - @app.get("/mock-s3/callbacks/latest") - async def get_latest_callback(): - if not callback_storage: - return {"callback": None} - return {"callback": callback_storage[-1].model_dump()} - - @app.delete("/mock-s3/callbacks") - async def clear_callbacks(): - count = len(callback_storage) - callback_storage.clear() - logger.info(f"Cleared {count} S3 callbacks") - return {"cleared": count} diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/server.py b/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/server.py deleted file mode 100644 index a0bda6a1866..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/mock_azure_batch_server/server.py +++ /dev/null @@ -1,33 +0,0 @@ -from fastapi import FastAPI, Request -from fastapi.middleware.cors import CORSMiddleware - -from .mock_azure_batch import setup_batch_routes -from .mock_chat import setup_chat_routes -from .mock_embeddings import setup_embeddings_routes -from .mock_responses import setup_responses_routes -from .mock_s3_callback import setup_s3_callback_routes - - -def create_mock_azure_batch_server() -> FastAPI: - """Create a FastAPI app that mocks Azure Batch API and S3 callbacks.""" - app = FastAPI() - - app.add_middleware( - CORSMiddleware, - allow_origins=["*"], - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], - ) - - @app.get("/health") - async def health(): - return {"status": "ok"} - - setup_chat_routes(app) - setup_responses_routes(app) - setup_embeddings_routes(app) - setup_batch_routes(app) - setup_s3_callback_routes(app) - - return app diff --git a/tests/proxy_e2e_azure_batches_tests/fixtures/run_mock_server.py b/tests/proxy_e2e_azure_batches_tests/fixtures/run_mock_server.py deleted file mode 100644 index 8804c47b7da..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/fixtures/run_mock_server.py +++ /dev/null @@ -1,12 +0,0 @@ - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).parent.parent)) - -from fixtures.mock_azure_batch_server import create_mock_azure_batch_server -import uvicorn - -if __name__ == "__main__": - app = create_mock_azure_batch_server() - uvicorn.run(app, host="0.0.0.0", port=8090, log_level="info", access_log=False) diff --git a/tests/proxy_e2e_azure_batches_tests/test_fixtures_smoke.py b/tests/proxy_e2e_azure_batches_tests/test_fixtures_smoke.py deleted file mode 100644 index eeb17963715..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/test_fixtures_smoke.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -Smoke test to verify fixtures start and stop correctly. -Run this first to ensure the infrastructure works before running full E2E tests. -""" - -import httpx -import pytest - - -pytestmark = pytest.mark.usefixtures("mock_azure_server", "litellm_proxy_server") - - -def test_mock_server_health(mock_azure_server): - """Verify mock Azure server is running and healthy.""" - response = httpx.get(f"{mock_azure_server}/health", timeout=5.0) - assert response.status_code == 200 - assert response.json() == {"status": "ok"} - print(f"✓ Mock Azure server is healthy at {mock_azure_server}") - - -def test_litellm_proxy_health(litellm_proxy_server): - """Verify LiteLLM proxy is running and healthy.""" - response = httpx.get(f"{litellm_proxy_server}/health", timeout=5.0) - assert response.status_code == 200 - print(f"✓ LiteLLM proxy is healthy at {litellm_proxy_server}") - - -def test_litellm_proxy_model_list(litellm_proxy_server): - """Verify LiteLLM proxy can list models.""" - response = httpx.get( - f"{litellm_proxy_server}/v1/models", - headers={"Authorization": "Bearer sk-1234"}, - timeout=5.0, - ) - assert response.status_code == 200 - data = response.json() - assert "data" in data - models = [m["id"] for m in data["data"]] - print(f"✓ LiteLLM proxy has {len(models)} models configured") - assert "azure-fake-gpt-5-batch-2025-08-07" in models - print(f"✓ Azure batch model is configured") diff --git a/tests/proxy_e2e_azure_batches_tests/test_managed_files_base.py b/tests/proxy_e2e_azure_batches_tests/test_managed_files_base.py deleted file mode 100644 index 79e7e58f39b..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/test_managed_files_base.py +++ /dev/null @@ -1,1085 +0,0 @@ -"""Base class for managed files and batch API tests.""" - -import json -import os -import sys -import time -from datetime import datetime -from typing import Optional -from urllib.parse import urlparse - -import httpx -import openai -import psycopg2 -import pytest -from tenacity import Retrying, stop_after_delay, wait_fixed - -sys.path.insert(0, os.path.abspath("../..")) - -from base_integration_test import ( - BaseLiteLLMIntegrationTest, - get_mock_server_base_url, - use_mock_models, -) - - -class ManagedFilesState: - """Query and pretty print the state of managed files and objects tables.""" - - def __init__(self, database_url: Optional[str] = None): - self.database_url = database_url or os.environ.get("DATABASE_URL") - if not self.database_url: - raise ValueError("DATABASE_URL not provided and not in environment") - - def _get_connection(self): - parsed = urlparse(self.database_url) - return psycopg2.connect( - host=parsed.hostname, - port=parsed.port or 5432, - user=parsed.username, - password=parsed.password, - dbname=parsed.path.lstrip("/"), - ) - - def _shorten_id(self, id_str: str, max_len: int = 24) -> str: - if id_str is None: - return "None" - if len(id_str) <= max_len: - return id_str - return id_str[:10] + "..." + id_str[-10:] - - def _format_timestamp(self, ts) -> str: - if ts is None: - return "None" - if isinstance(ts, datetime): - return ts.strftime("%Y-%m-%d %H:%M:%S") - return str(ts) - - def get_managed_files(self, limit: int = 20) -> list: - query = """ - SELECT unified_file_id, file_purpose, created_by, created_at, - updated_at, model_mappings, storage_backend - FROM "LiteLLM_ManagedFileTable" - ORDER BY created_at DESC - LIMIT %s - """ - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query, (limit,)) - columns = [desc[0] for desc in cur.description] - return [dict(zip(columns, row)) for row in cur.fetchall()] - - def get_managed_objects( - self, - limit: int = 20, - status: Optional[str] = None, - ) -> list: - query = """ - SELECT id, unified_object_id, status, file_purpose, - created_by, created_at, updated_at - FROM "LiteLLM_ManagedObjectTable" - """ - params = [] - if status: - query += " WHERE status = %s" - params.append(status) - query += " ORDER BY created_at DESC LIMIT %s" - params.append(limit) - - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query, params) - columns = [desc[0] for desc in cur.description] - return [dict(zip(columns, row)) for row in cur.fetchall()] - - def print_managed_files(self, limit: int = 20): - files = self.get_managed_files(limit) - print(f"\n{'=' * 80}") - print(f"MANAGED FILES TABLE ({len(files)} rows)") - print(f"{'=' * 80}") - - if not files: - print(" (no rows)") - return - - for i, f in enumerate(files, 1): - print(f"\n[{i}] unified_file_id: {self._shorten_id(f['unified_file_id'])}") - print(f" purpose: {f['file_purpose']}") - print(f" created_by: {f['created_by']}") - print(f" created_at: {self._format_timestamp(f['created_at'])}") - print(f" storage_backend: {f.get('storage_backend', 'None')}") - if f.get("model_mappings"): - mappings = f["model_mappings"] - if isinstance(mappings, dict): - print(f" model_mappings: {len(mappings)} model(s)") - for model_id, file_id in list(mappings.items())[:3]: - print( - f" - {self._shorten_id(model_id)}: {self._shorten_id(file_id)}", - ) - if len(mappings) > 3: - print(f" ... and {len(mappings) - 3} more") - - def print_managed_objects(self, limit: int = 20, status: Optional[str] = None): - """Pretty print the managed objects table.""" - objects = self.get_managed_objects(limit, status) - status_filter = f" (status={status})" if status else "" - print(f"\n{'=' * 80}") - print(f"MANAGED OBJECTS TABLE{status_filter} ({len(objects)} rows)") - print(f"{'=' * 80}") - - if not objects: - print(" (no rows)") - return - - for i, o in enumerate(objects, 1): - print(f"\n[{i}] id: {o['id']}") - print(f" unified_object_id: {self._shorten_id(o['unified_object_id'])}") - print(f" status: {o['status']}") - print(f" file_purpose: {o['file_purpose']}") - print(f" created_by: {o['created_by']}") - print(f" created_at: {self._format_timestamp(o['created_at'])}") - - def print_validating_batches(self): - """Print batches that are stuck in validating state.""" - self.print_managed_objects(status="validating") - - def print_all(self, limit: int = 10): - """Print both tables.""" - self.print_managed_files(limit) - self.print_managed_objects(limit) - - def count_by_status(self) -> dict: - """Count managed objects by status.""" - query = """ - SELECT status, COUNT(*) as count - FROM "LiteLLM_ManagedObjectTable" - GROUP BY status - ORDER BY count DESC - """ - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query) - return {row[0]: row[1] for row in cur.fetchall()} - - def print_summary(self): - """Print a summary of table states.""" - print(f"\n{'=' * 80}") - print("DATABASE STATE SUMMARY") - print(f"{'=' * 80}") - - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute('SELECT COUNT(*) FROM "LiteLLM_ManagedFileTable"') - file_count = cur.fetchone()[0] - - cur.execute('SELECT COUNT(*) FROM "LiteLLM_ManagedObjectTable"') - object_count = cur.fetchone()[0] - - print(f"\nManaged Files: {file_count} total") - print(f"Managed Objects: {object_count} total") - - status_counts = self.count_by_status() - if status_counts: - print("\nObjects by status:") - for status, count in status_counts.items(): - print(f" - {status}: {count}") - - def get_file_by_unified_id(self, unified_file_id: str) -> Optional[dict]: - """Get a managed file by its unified file ID.""" - query = """ - SELECT unified_file_id, file_object, created_by, created_at, - updated_at, model_mappings, storage_backend - FROM "LiteLLM_ManagedFileTable" - WHERE unified_file_id = %s - """ - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query, (unified_file_id,)) - row = cur.fetchone() - if row: - columns = [desc[0] for desc in cur.description] - return dict(zip(columns, row)) - return None - - def get_batch_by_unified_id(self, unified_object_id: str) -> Optional[dict]: - """Get a managed batch/object by its unified object ID.""" - query = """ - SELECT id, unified_object_id, model_object_id, status, file_purpose, - created_by, created_at, updated_at - FROM "LiteLLM_ManagedObjectTable" - WHERE unified_object_id = %s - """ - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query, (unified_object_id,)) - row = cur.fetchone() - if row: - columns = [desc[0] for desc in cur.description] - return dict(zip(columns, row)) - return None - - def get_batch_by_id(self, batch_id: int) -> Optional[dict]: - """Get a managed batch/object by its integer ID.""" - query = """ - SELECT id, unified_object_id, status, file_purpose, - created_by, created_at, updated_at - FROM "LiteLLM_ManagedObjectTable" - WHERE id = %s - """ - with self._get_connection() as conn: - with conn.cursor() as cur: - cur.execute(query, (batch_id,)) - row = cur.fetchone() - if row: - columns = [desc[0] for desc in cur.description] - return dict(zip(columns, row)) - return None - - -MIN_EXPIRY_SECONDS = 259200 - - -class _BaseSubTracker: - """Shared helpers for sub-trackers.""" - - def _shorten_id(self, id_str: str, max_len: int = 20) -> str: - if id_str is None: - return "None" - if len(id_str) <= max_len: - return id_str - return id_str[:8] + "..." + id_str[-8:] - - def _format_timestamp(self, ts) -> str: - if ts is None: - return "None" - if isinstance(ts, datetime): - return ts.strftime("%H:%M:%S") - if isinstance(ts, int): - return datetime.fromtimestamp(ts).strftime("%H:%M:%S") - return str(ts) - - -class BatchDbStateTracker(_BaseSubTracker): - """Tracks batch/file state in the LiteLLM database.""" - - def __init__(self, db_state: ManagedFilesState): - self.db_state = db_state - - def get_file_state(self, file_id: str) -> Optional[dict]: - return self.db_state.get_file_by_unified_id(file_id) - - def get_batch_state(self, batch_id: str) -> Optional[dict]: - return self.db_state.get_batch_by_unified_id(batch_id) - - def format_file_lines(self, file_id: str) -> tuple[str, list[str]]: - """Return (header, detail_lines) for the DB file state.""" - db_file = self.get_file_state(file_id) - header_id = ( - self._shorten_id(db_file.get("unified_file_id")) if db_file else "N/A" - ) - header = f"FILE (DB): {header_id}" - - if not db_file: - return header, [" (not found in DB)"] - - file_obj = db_file.get("file_object") or {} - if isinstance(file_obj, str): - try: - file_obj = json.loads(file_obj) - except Exception: - file_obj = {} - lines = [ - f" purpose: {file_obj.get('purpose', 'N/A')}", - f" storage: {db_file.get('storage_backend', 'N/A')}", - f" created: {self._format_timestamp(db_file.get('created_at'))}", - f" updated: {self._format_timestamp(db_file.get('updated_at'))}", - ] - mappings = db_file.get("model_mappings") - if mappings and isinstance(mappings, dict): - lines.append(f" mappings: {len(mappings)} model(s)") - return header, lines - - def format_batch_lines(self, batch_id: str) -> tuple[str, list[str]]: - """Return (header, detail_lines) for the DB batch state.""" - db_batch = self.get_batch_state(batch_id) - header_id = ( - self._shorten_id(db_batch.get("unified_object_id")) if db_batch else "N/A" - ) - header = f"BATCH (DB): {header_id}" - - if not db_batch: - return header, [" (not found in DB)"] - - lines = [ - f" status: {db_batch.get('status', 'N/A')}", - f" purpose: {db_batch.get('file_purpose', 'N/A')}", - f" created: {self._format_timestamp(db_batch.get('created_at'))}", - f" updated: {self._format_timestamp(db_batch.get('updated_at'))}", - ] - return header, lines - - -class BatchProviderStateTracker(_BaseSubTracker): - """Tracks batch/file state as reported by the LLM provider (via OpenAI client).""" - - def __init__(self, openai_client: openai.OpenAI): - self.client = openai_client - - def get_file_state(self, file_id: str) -> Optional[dict]: - try: - file_obj = self.client.files.retrieve(file_id) - return { - "id": file_obj.id, - "status": file_obj.status, - "purpose": file_obj.purpose, - "bytes": file_obj.bytes, - "filename": file_obj.filename, - "created_at": file_obj.created_at, - "expires_at": file_obj.expires_at, - } - except Exception as e: - return {"error": str(e)} - - def get_batch_state(self, batch_id: str) -> Optional[dict]: - try: - batch = self.client.batches.retrieve(batch_id) - return { - "id": batch.id, - "status": batch.status, - "input_file_id": batch.input_file_id, - "output_file_id": batch.output_file_id, - "error_file_id": batch.error_file_id, - "created_at": batch.created_at, - "completed_at": batch.completed_at, - "request_counts": batch.request_counts, - } - except Exception as e: - return {"error": str(e)} - - def format_file_lines( - self, - file_id: str, - db_state: Optional[BatchDbStateTracker] = None, - ) -> tuple[str, list[str]]: - """Return (header, detail_lines) for the provider file state.""" - raw_file_id = "N/A" - if db_state: - db_file = db_state.get_file_state(file_id) - if db_file: - mappings = db_file.get("model_mappings") - if mappings and isinstance(mappings, dict) and mappings: - first_file_id = next(iter(mappings.values()), None) - raw_file_id = ( - self._shorten_id(first_file_id) if first_file_id else "N/A" - ) - header = f"FILE (RAW): {raw_file_id}" - - provider_file = self.get_file_state(file_id) - if provider_file and "error" not in provider_file: - lines = [ - f" status: {provider_file.get('status', 'N/A')}", - f" purpose: {provider_file.get('purpose', 'N/A')}", - f" bytes: {provider_file.get('bytes', 0)}", - f" created: {self._format_timestamp(provider_file.get('created_at'))}", - f" expires: {self._format_timestamp(provider_file.get('expires_at'))}", - ] - elif provider_file and "error" in provider_file: - lines = [f" ERROR: {provider_file['error'][:35]}"] - else: - lines = [" (not found)"] - return header, lines - - def format_batch_lines( - self, - batch_id: str, - db_state: Optional[BatchDbStateTracker] = None, - ) -> tuple[str, list[str]]: - """Return (header, detail_lines) for the provider batch state.""" - raw_prov_id = "N/A" - if db_state: - db_batch = db_state.get_batch_state(batch_id) - if db_batch: - raw_prov_id = self._shorten_id(db_batch.get("model_object_id")) - header = f"BATCH (RAW): {raw_prov_id}" - - provider_batch = self.get_batch_state(batch_id) - if provider_batch and "error" not in provider_batch: - lines = [ - f" status: {provider_batch.get('status', 'N/A')}", - f" input: {self._shorten_id(provider_batch.get('input_file_id'))}", - f" output: {self._shorten_id(provider_batch.get('output_file_id'))}", - f" created: {self._format_timestamp(provider_batch.get('created_at'))}", - f" completed: {self._format_timestamp(provider_batch.get('completed_at'))}", - ] - req_counts = provider_batch.get("request_counts") - if req_counts: - lines.append( - f" requests: {req_counts.total} total, {req_counts.completed} done", - ) - elif provider_batch and "error" in provider_batch: - lines = [f" ERROR: {provider_batch['error'][:35]}"] - else: - lines = [" (not found)"] - return header, lines - - -class BatchS3StateTracker(_BaseSubTracker): - """Tracks S3 callback state from the mock S3 server.""" - - def __init__(self, mock_server_base_url: str): - self.mock_server_base_url = mock_server_base_url - - def get_callbacks(self, limit: int = 100) -> list[dict]: - try: - response = httpx.get( - f"{self.mock_server_base_url}/mock-s3/callbacks", - params={"limit": limit}, - timeout=5, - ) - if response.status_code == 200: - return response.json().get("callbacks", []) - return [] - except Exception: - return [] - - def get_batch_callbacks(self) -> list[dict]: - """Return only callbacks related to batch operations.""" - batch_call_types = { - "acreate_batch", - "aretrieve_batch", - "acreate_file", - "afile_content", - } - return [ - cb - for cb in self.get_callbacks() - if cb.get("content", {}).get("call_type", "") in batch_call_types - ] - - def get_cost_callbacks(self) -> list[dict]: - """Return CheckBatchCost callbacks (aretrieve_batch with no user_api_key_hash).""" - result = [] - for cb in self.get_callbacks(): - content = cb.get("content", {}) - if content.get("call_type") != "aretrieve_batch": - continue - metadata = content.get("metadata") or {} - if metadata.get("user_api_key_hash") is None: - result.append(cb) - return result - - def format_batch_lines(self, batch_id: str) -> tuple[str, list[str]]: - """Return (header, detail_lines) summarising S3 callback state for this batch.""" - all_cbs = self.get_callbacks() - batch_cbs = self.get_batch_callbacks() - cost_cbs = self.get_cost_callbacks() - - header = f"S3 CALLBACKS: {len(all_cbs)} total" - lines = [ - f" batch-related: {len(batch_cbs)}", - f" cost events: {len(cost_cbs)}", - ] - - # Summarise call_type breakdown for batch callbacks - type_counts: dict[str, int] = {} - for cb in batch_cbs: - ct = cb.get("content", {}).get("call_type", "unknown") - type_counts[ct] = type_counts.get(ct, 0) + 1 - for ct, count in sorted(type_counts.items()): - lines.append(f" {ct}: {count}") - - # Show cost info from the latest cost callback (if any) - if cost_cbs: - latest = cost_cbs[-1].get("content", {}) - lines.append(f" latest cost event:") - lines.append(f" model: {latest.get('model', 'N/A')}") - lines.append(f" response_cost: {latest.get('response_cost', 'N/A')}") - lines.append(f" total_tokens: {latest.get('total_tokens', 0)}") - - return header, lines - - def print_all_callbacks(self): - """Print every S3 callback object in detail, ordered by S3 key timestamp.""" - callbacks = self.get_callbacks() - - # Sort by the timestamp embedded in the S3 key (e.g. "2026-02-15/time-13-01-31-269789_...") - callbacks.sort(key=lambda cb: cb.get("key", "")) - - print(f"\n{'=' * 90}") - print( - f"S3 CALLBACK DETAIL — {len(callbacks)} object(s), ordered by received time", - ) - print(f"{'=' * 90}") - - if not callbacks: - print(" (no callbacks)") - return - - for i, cb in enumerate(callbacks, 1): - content = cb.get("content", {}) - metadata = content.get("metadata") or {} - hidden = content.get("hidden_params") or {} - - print(f"\n[{i}] call_type: {content.get('call_type', 'N/A')}") - print( - f" s3_received_at: {cb.get('received_at', cb.get('timestamp', 'N/A'))}", - ) - print(f" id: {self._shorten_id(content.get('id', ''))}") - print(f" model: {content.get('model', 'N/A')}") - print(f" status: {content.get('status', 'N/A')}") - print(f" response_cost: {content.get('response_cost', 'N/A')}") - print(f" total_tokens: {content.get('total_tokens', 0)}") - print(f" prompt_tokens: {content.get('prompt_tokens', 0)}") - print(f" completion_tokens: {content.get('completion_tokens', 0)}") - print( - f" custom_llm_provider: {content.get('custom_llm_provider', 'N/A')}", - ) - print(f" api_base: {self._shorten_id(content.get('api_base', ''), 40)}") - print(f" cache_hit: {content.get('cache_hit', 'N/A')}") - - print(f" metadata:") - print( - f" user_api_key_hash: {self._shorten_id(metadata.get('user_api_key_hash', 'None'))}", - ) - print( - f" user_api_key_alias: {metadata.get('user_api_key_alias', 'None')}", - ) - print( - f" user_api_key_team_id: {metadata.get('user_api_key_team_id', 'None')}", - ) - print( - f" user_api_key_team_alias: {metadata.get('user_api_key_team_alias', 'None')}", - ) - print( - f" user_api_key_user_id: {metadata.get('user_api_key_user_id', 'None')}", - ) - - batch_models = hidden.get("batch_models") - if batch_models: - print(f" batch_models: {batch_models}") - - response = content.get("response") or {} - if isinstance(response, dict) and response.get("status"): - print(f" response.status: {response.get('status')}") - req_counts = response.get("request_counts") or {} - if req_counts: - print( - f" response.request_counts: total={req_counts.get('total', 0)}, completed={req_counts.get('completed', 0)}, failed={req_counts.get('failed', 0)}", - ) - out_file = response.get("output_file_id") - if out_file: - print(f" response.output_file_id: {self._shorten_id(out_file)}") - - s3_key = cb.get("key", "") - if s3_key: - print(f" s3_key: {s3_key}") - - print(f"\n{'=' * 90}\n") - - -class NoOpStateTracker: - """No-op tracker used when state tracking is disabled.""" - - def set_file_id(self, file_id: str): - pass - - def set_batch_id(self, batch_id: str): - pass - - def print_state(self, step_name: str): - pass - - def wait_and_print_s3_callbacks(self): - pass - - def assert_batch_cost_callback(self): - pass - - -class StateTracker: - """Tracks and prints DB, Provider, and S3 state after each step.""" - - def __init__( - self, - db_tracker: BatchDbStateTracker, - provider_tracker: BatchProviderStateTracker, - s3_tracker: Optional[BatchS3StateTracker] = None, - ): - self.db_tracker = db_tracker - self.provider_tracker = provider_tracker - self.s3_tracker = s3_tracker - self.current_file_id: Optional[str] = None - self.current_batch_id: Optional[str] = None - self.step_number = 0 - - def set_file_id(self, file_id: str): - """Set the file ID to track.""" - self.current_file_id = file_id - - def set_batch_id(self, batch_id: str): - """Set the batch ID to track.""" - self.current_batch_id = batch_id - - def print_state(self, step_name: str): - """Print DB, provider, and S3 state for tracked file and batch.""" - self.step_number += 1 - has_s3 = self.s3_tracker is not None - col_width = 40 - num_cols = 3 if has_s3 else 2 - total_width = (col_width + 3) * num_cols - - print(f"\n{'─' * total_width}") - print(f"│ STEP {self.step_number}: {step_name}") - print(f"{'─' * total_width}") - - col_headers = [ - f"{'DATABASE STATE':<{col_width}}", - f"{'PROVIDER STATE':<{col_width}}", - ] - if has_s3: - col_headers.append(f"{'S3 STATE':<{col_width}}") - print("│ " + " │ ".join(col_headers)) - print(f"{'─' * total_width}") - - if self.current_file_id: - self._print_file_state(col_width, has_s3) - - if self.current_batch_id: - self._print_batch_state(col_width, has_s3) - - print(f"{'─' * total_width}\n") - - def _has_completed_batch_cost_callback(self) -> bool: - """Check if an aretrieve_batch callback with completed status and cost>0 exists.""" - for cb in self.s3_tracker.get_callbacks(): - content = cb.get("content", {}) - if content.get("call_type") != "aretrieve_batch": - continue - response = content.get("response") or {} - if not isinstance(response, dict) or response.get("status") != "completed": - continue - cost = content.get("response_cost", 0) - if cost and cost > 0: - return True - return False - - def wait_and_print_s3_callbacks(self): - """Wait for the S3 v2 logger to flush, then print all callbacks in detail. - - Waits until the cost callback arrives or max_wait is reached. - After detecting the cost callback, waits one extra flush interval - for the proxy to finalize batch_processed before returning. - """ - if not self.s3_tracker: - return - - s3_flush_interval = int(os.environ.get("DEFAULT_S3_FLUSH_INTERVAL_SECONDS", 10)) - batch_poll_interval = int(os.environ.get("PROXY_BATCH_POLLING_INTERVAL", 10)) - max_wait = batch_poll_interval * 3 + s3_flush_interval * 5 - prev_count = len(self.s3_tracker.get_callbacks()) - waited = 0 - cost_detected = False - while waited < max_wait: - print( - f"Waiting for {s3_flush_interval} secs for S3 callbacks to be flushed", - ) - time.sleep(s3_flush_interval) - waited += s3_flush_interval - curr_count = len(self.s3_tracker.get_callbacks()) - print( - f"[S3 flush wait] {waited}s/{max_wait}s — " - f"callbacks: {prev_count} → {curr_count}", - ) - prev_count = curr_count - - if not cost_detected and self._has_completed_batch_cost_callback(): - print( - "Cost callback detected — waiting one more interval " - "for batch_processed finalization" - ) - cost_detected = True - elif cost_detected: - break - - self.s3_tracker.print_all_callbacks() - - def assert_batch_cost_callback(self): - """Assert that a completed-batch S3 callback with non-zero cost exists.""" - if not self.s3_tracker: - return - - callbacks = self.s3_tracker.get_callbacks() - valid_callbacks = [] - for cb in callbacks: - content = cb.get("content", {}) - if content.get("call_type") != "aretrieve_batch": - continue - response = content.get("response") or {} - if not isinstance(response, dict) or response.get("status") != "completed": - continue - cost = content.get("response_cost", 0) - if cost and cost > 0: - valid_callbacks.append(cb) - - if len(valid_callbacks) != 1: - print( - f"\n❌ Assertion failed: Found {len(valid_callbacks)} valid callbacks (expected 1)", - ) - print( - "\nAll valid callbacks with call_type=aretrieve_batch, status=completed, cost>0:", - ) - for idx, cb in enumerate(valid_callbacks, 1): - content = cb.get("content", {}) - print(f"\n[{idx}] Callback:") - print(f" id: {content.get('id', 'N/A')}") - print(f" response_cost: {content.get('response_cost', 0)}") - print(f" litellm_call_id: {content.get('litellm_call_id', 'N/A')}") - response = content.get("response", {}) - print(f" response.id: {response.get('id', 'N/A')}") - print(f" response.status: {response.get('status', 'N/A')}") - metadata = content.get("metadata", {}) - print( - f" user_api_key_user_id: {metadata.get('user_api_key_user_id', 'N/A')}", - ) - print( - f" user_api_key_alias: {metadata.get('user_api_key_alias', 'N/A')}", - ) - print( - f" user_api_key_hash: {metadata.get('user_api_key_hash', 'N/A')}", - ) - print(f" source: {metadata.get('source', 'NOT SET')}") - raise AssertionError( - f"Expected 1 valid callback with call_type=aretrieve_batch, " - f"response.status=completed, and response_cost > 0. " - f"Found {len(valid_callbacks)} valid callbacks.", - ) - - valid_callback = valid_callbacks[0] - callback_user_alias = ( - valid_callback.get("content", {}) - .get("metadata", {}) - .get("user_api_key_alias") - ) - if not callback_user_alias: - raise AssertionError( - f"Expected user_api_key_alias to be set. Found {callback_user_alias}.", - ) - - if callback_user_alias == "default_user_alias": - raise AssertionError( - f"Expected user_api_key_alias to be set to the user who created the batch. " - f"Expected user_api_key_alias to be 'default_user_alias'. " - f"Found {callback_user_alias}.", - ) - - def _print_columns(self, columns: list[list[str]], col_width: int): - """Print multiple columns side-by-side.""" - max_lines = max(len(col) for col in columns) - for i in range(max_lines): - parts = [] - for col in columns: - line = col[i] if i < len(col) else "" - parts.append(f"{line:<{col_width}}") - print("│ " + " │ ".join(parts)) - - def _print_file_state(self, col_width: int, has_s3: bool): - db_header, db_lines = self.db_tracker.format_file_lines(self.current_file_id) - prov_header, prov_lines = self.provider_tracker.format_file_lines( - self.current_file_id, - db_state=self.db_tracker, - ) - - headers = [db_header, prov_header] - columns = [db_lines, prov_lines] - if has_s3: - headers.append("") - columns.append([]) - - header_parts = [f"{h:<{col_width}}" for h in headers] - print("│ " + " │ ".join(header_parts)) - self._print_columns(columns, col_width) - - def _print_batch_state(self, col_width: int, has_s3: bool): - db_header, db_lines = self.db_tracker.format_batch_lines(self.current_batch_id) - prov_header, prov_lines = self.provider_tracker.format_batch_lines( - self.current_batch_id, - db_state=self.db_tracker, - ) - - headers = [db_header, prov_header] - columns = [db_lines, prov_lines] - if has_s3: - s3_header, s3_lines = self.s3_tracker.format_batch_lines( - self.current_batch_id, - ) - headers.append(s3_header) - columns.append(s3_lines) - - # blank separator row - blank = [f"{'':<{col_width}}"] * len(headers) - print("│ " + " │ ".join(blank)) - - header_parts = [f"{h:<{col_width}}" for h in headers] - print("│ " + " │ ".join(header_parts)) - self._print_columns(columns, col_width) - - -def get_batch_model_names(): - if use_mock_models(): - return [ - "azure-fake-gpt-5-batch-2025-08-07", - ] - return [ - "gpt-5-batch-2025-08-07", - ] - - -class ManagedFilesBase(BaseLiteLLMIntegrationTest): - """Base class with shared helpers for managed files and batch tests.""" - - @pytest.fixture(autouse=True) - def setup_test(self, request): - print( - f"Base URL: {self.base_url}, Using mock models: {use_mock_models()}\n", - ) - - def create_state_tracker(self) -> "StateTracker | NoOpStateTracker": - """Create a StateTracker for observing DB, Provider, and S3 state. - - Returns a NoOpStateTracker if USE_STATE_TRACKER is not 'true' or - if DATABASE_URL is not set. - """ - use_tracker = os.environ.get("USE_STATE_TRACKER", "").lower() == "true" - if not use_tracker: - return NoOpStateTracker() - - database_url = os.environ.get("DATABASE_URL") - if not database_url: - print("Warning: DATABASE_URL not set, state tracking disabled") - return NoOpStateTracker() - try: - db_state = ManagedFilesState(database_url) - db_tracker = BatchDbStateTracker(db_state) - provider_tracker = BatchProviderStateTracker(self.openai_client) - - s3_tracker = None - try: - mock_url = get_mock_server_base_url() - s3_tracker = BatchS3StateTracker(mock_url) - except Exception: - pass - - return StateTracker(db_tracker, provider_tracker, s3_tracker) - except Exception as e: - print(f"Warning: Could not create state tracker: {e}") - return NoOpStateTracker() - - def create_openai_client_with_key(self, api_key: str) -> openai.OpenAI: - """Create an OpenAI client with a specific API key.""" - return openai.OpenAI( - base_url=self.base_url, - api_key=api_key, - http_client=httpx.Client(verify=self._get_ssl_verify_setting()), - ) - - def create_batch_request_file_on_disk(self, tmpdir, model: str): - request_id = self.generate_request_id() - batch_request = { - "custom_id": request_id, - "method": "POST", - "url": "/v1/chat/completions", - "body": { - "model": model, - "messages": [ - {"role": "user", "content": "What is 2+2?"}, - ], - }, - } - - request_file = os.path.join(tmpdir, f"request-{request_id}.jsonl") - with open(request_file, "w") as f: - f.write(json.dumps(batch_request)) - - return request_file - - def create_batch_input_file( - self, - client: openai.OpenAI, - request_file: str, - expiry_seconds: int = MIN_EXPIRY_SECONDS, - target_model_names: str = None, - ): - extra_body = { - "expires_after": { - "seconds": expiry_seconds, - "anchor": "created_at", - }, - } - if target_model_names: - extra_body["target_model_names"] = target_model_names - - batch_input_file = client.files.create( - file=open(request_file, "rb"), - purpose="batch", - extra_body=extra_body, - ) - return batch_input_file - - def create_batch( - self, - client: openai.OpenAI, - input_file_id: str, - expiry_seconds: int = MIN_EXPIRY_SECONDS, - ): - batch = client.batches.create( - input_file_id=input_file_id, - endpoint="/v1/chat/completions", - completion_window="24h", - extra_body={ - "output_expires_after": { - "seconds": expiry_seconds, - "anchor": "created_at", - }, - }, - ) - return batch - - def wait_for_batch_state( - self, - client: openai.OpenAI, - batch_id: str, - expected_status: str, - max_seconds: int = 60, - wait_seconds: int = 5, - state_tracker: "StateTracker | NoOpStateTracker | None" = None, - ): - if state_tracker is None: - state_tracker = NoOpStateTracker() - poll_count = 0 - for attempt in Retrying( - stop=stop_after_delay(max_seconds), - wait=wait_fixed(wait_seconds), - ): - with attempt: - poll_count += 1 - batch_response = client.batches.retrieve(batch_id=batch_id) - print( - f"[{time.strftime('%H:%M:%S')}] Poll #{poll_count}: Batch status: {batch_response.status}, expected: {expected_status}", - ) - state_tracker.print_state( - f"Poll #{poll_count} - status: {batch_response.status}", - ) - if batch_response.status == expected_status: - return batch_response - if batch_response.status in ["failed", "expired", "cancelled"]: - raise Exception( - f"Batch failed with status: {batch_response.status}", - ) - raise Exception(f"Batch not in {expected_status} state yet") - return None - - def wait_for_batch_completed( - self, - client: openai.OpenAI, - batch_id: str, - max_seconds: int = 120, - wait_seconds: int = 5, - ): - return self.wait_for_batch_state( - client, - batch_id, - "completed", - max_seconds, - wait_seconds, - ) - - def shorten_id(self, id_str: str) -> str: - if id_str is None: - return "None" - if len(id_str) <= 20: - return id_str - return id_str[:8] + "..." + id_str[-8:] - - def reset_mock_server(self): - if not use_mock_models(): - return - print("Resetting mock server state...") - reset_response = httpx.post(f"{get_mock_server_base_url()}/reset") - assert reset_response.status_code == 200, f"Reset failed: {reset_response.text}" - - def print_file_metadata(self, file_obj, label="File"): - print(f"{label} metadata:") - print(f"\tid={self.shorten_id(file_obj.id)}") - print(f"\tobject={file_obj.object}") - print(f"\tbytes={file_obj.bytes}") - print(f"\tfilename={file_obj.filename}") - print(f"\tpurpose={file_obj.purpose}") - print(f"\tstatus={file_obj.status}") - print(f"\tcreated_at={file_obj.created_at}") - print(f"\texpires_at={file_obj.expires_at}") - if file_obj.status_details: - print(f"\tstatus_details={file_obj.status_details}") - - def print_batch_metadata(self, batch): - print("Batch metadata:") - print(f"\tid={self.shorten_id(batch.id)}") - print(f"\tstatus={batch.status}") - print(f"\tendpoint={batch.endpoint}") - print(f"\tcompletion_window={batch.completion_window}") - print(f"\tinput_file_id={self.shorten_id(batch.input_file_id)}") - print(f"\tcreated_at={batch.created_at}") - print(f"\texpires_at={batch.expires_at}") - print(f"\tin_progress_at={batch.in_progress_at}") - print(f"\tcompleted_at={batch.completed_at}") - print(f"\toutput_file_id={self.shorten_id(batch.output_file_id)}") - print(f"\trequest_counts={batch.request_counts}") - - def wait_for_batch_list(self, model_name, max_seconds=90, wait_seconds=10): - for attempt in Retrying( - stop=stop_after_delay(max_seconds), - wait=wait_fixed(wait_seconds), - ): - with attempt: - batches_list = self.openai_client.batches.list( - limit=10, - # extra query is not supported by managed batches - # extra_query={"target_model_names": model_name}, - ) - print( - f"Batches in list: {len(batches_list.data)}", - ) - if len(batches_list.data) == 0: - raise Exception("No batches found in list yet") - print("Batches in list:") - for batch in batches_list.data: - print( - f" ID: {self.shorten_id(batch.id)} Status: {batch.status}, Created at: {batch.created_at}, Completed at: {batch.completed_at}", - ) - return batches_list - return None - - def wait_for_batch_in_list( - self, - client: openai.OpenAI, - batch_id: str, - max_seconds: int = 10, - wait_seconds: float = 0.5, - ): - """Wait for a specific batch to appear in the batch list. - - This handles the race condition where batch creation returns before - the database insert completes (due to asyncio.create_task). - """ - for attempt in Retrying( - stop=stop_after_delay(max_seconds), - wait=wait_fixed(wait_seconds), - ): - with attempt: - batches_list = client.batches.list(limit=20) - batch_ids = [b.id for b in batches_list.data] - if batch_id not in batch_ids: - raise Exception( - f"Batch {self.shorten_id(batch_id)} not found in list yet", - ) - return batches_list - return None \ No newline at end of file diff --git a/tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py b/tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py deleted file mode 100644 index eb43b9ac336..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py +++ /dev/null @@ -1,324 +0,0 @@ -import base64 -import os -import sys -import time -import warnings - -import httpx -import openai -import pytest -from tenacity import RetryError - -sys.path.insert(0, os.path.abspath("../..")) - -from base_integration_test import ( - get_mock_server_base_url, - model_id, - use_mock_models, - UserKeyTestMixin, -) -from test_managed_files_base import ( - ManagedFilesBase, - MIN_EXPIRY_SECONDS, - get_batch_model_names, -) - -MANAGED_FILE_ID_PREFIX = "litellm_proxy" - -pytestmark = [ - pytest.mark.usefixtures("mock_azure_server", "litellm_proxy_server"), - pytest.mark.skipif( - os.environ.get("SKIP_E2E_TESTS", "false").lower() == "true", - reason="E2E tests disabled via SKIP_E2E_TESTS env var" - ), -] - - -def is_managed_id(file_id: str) -> bool: - """Check if a file ID is a base64-encoded LiteLLM managed/unified ID.""" - try: - padded = file_id + "=" * (-len(file_id) % 4) - decoded = base64.urlsafe_b64decode(padded).decode() - return decoded.startswith(MANAGED_FILE_ID_PREFIX) - except Exception: - return False - - -def assert_managed_id(file_id: str, label: str): - assert is_managed_id(file_id), f"{label} should be a managed ID, got raw: {file_id}" - - -def wip_features_enabled() -> bool: - return os.environ.get("WIP_FEATURES", "").lower() == "true" - - -class TestManagedFilesAPI(ManagedFilesBase, UserKeyTestMixin): - @classmethod - def setup_class(cls): - super().setup_class() - cls.setup_admin_client() - - @classmethod - def teardown_class(cls): - cls.teardown_admin_client() - - @pytest.fixture(autouse=True) - def setup_test(self): - print( - f"\nBase URL: {self.base_url}, Using mock models: {use_mock_models()}", - ) - self.clear_s3_callbacks() - - user_id, api_key, user_email, client = self.create_user_key_and_client( - "e2e-batch", - ) - self.test_user_id = user_id - self.openai_client = client - print(f"Using user {user_email} (id={user_id})") - - def _create_and_verify_batch_input_file(self, tmp_path, model_name): - request_file = self.create_batch_request_file_on_disk(tmp_path, model_name) - - print("Creating batch input file...") - batch_input_file = self.create_batch_input_file( - self.openai_client, - request_file, - MIN_EXPIRY_SECONDS, - target_model_names=model_name, - ) - print(f"Created batch input file: {self.shorten_id(batch_input_file.id)}") - assert_managed_id(batch_input_file.id, "batch_input_file.id") - - print("Retrieving batch input file metadata...") - metadata = self.openai_client.files.retrieve(batch_input_file.id) - assert_managed_id(metadata.id, "files.retrieve(input).id") - assert metadata.id == batch_input_file.id, ( - f"Input file ID mismatch: retrieve returned '{metadata.id}' but expected '{batch_input_file.id}'" - ) - assert metadata.object == "file" - assert metadata.bytes > 0, "bytes not set" - assert metadata.filename == "modified_file.jsonl" - assert metadata.purpose == "batch" - assert metadata.status in ["uploaded", "processed", "error"] - assert metadata.created_at > 0 - if wip_features_enabled(): - assert metadata.expires_at > 0, "expires_at not set" - self.print_file_metadata(metadata, "Input file") - - return batch_input_file - - def _create_and_verify_batch(self, input_file_id): - print("\nCreating batch...") - batch = self.create_batch( - self.openai_client, - input_file_id, - MIN_EXPIRY_SECONDS, - ) - print(f"Created batch: {self.shorten_id(batch.id)}") - - assert batch.id, "No batch ID returned" - assert_managed_id(batch.id, "batch.id") - assert_managed_id(batch.input_file_id, "batch.input_file_id") - assert batch.input_file_id == input_file_id, "batch.input_file_id mismatch" - assert batch.status in ["validating", "in_progress", "finalizing", "completed"] - if not batch.expires_at: - warnings.warn("batch expires_at not set") - else: - assert batch.expires_at > 0 - if not batch.endpoint: - warnings.warn("batch.endpoint empty - Azure API quirk, not a bug") - else: - assert batch.endpoint == "/v1/chat/completions" - assert batch.completion_window == "24h" - assert batch.created_at > 0 - self.print_batch_metadata(batch) - - return batch - - def _list_batches(self, batch_id, model_name): - if not wip_features_enabled(): - return - print("\nListing batches...") - try: - batches_list = self.wait_for_batch_list( - model_name, - max_seconds=30, - wait_seconds=5, - ) - batch_ids = [b.id for b in (batches_list.data if batches_list else [])] - if batch_id not in batch_ids: - warnings.warn( - f"Batch {batch_id} not found in list. " - f"batches.list returns raw IDs, not encoded IDs. raw IDs: {batch_ids}", - ) - except openai.APIError as e: - pytest.fail(f"batches.list() failed: {e}") - - def _wait_for_batch_completion(self, batch_id, tracker): - print(f"\nWaiting for batch {self.shorten_id(batch_id)} to complete...") - try: - batch_response = self.wait_for_batch_state( - self.openai_client, - batch_id, - "completed", - max_seconds=25 * 60, - wait_seconds=15, - state_tracker=tracker, - ) - except RetryError: - tracker.print_state("Timeout waiting for batch completion") - raise TimeoutError("Timed out waiting for batch to be in state: completed") - - assert_managed_id(batch_response.id, "batch_response.id") - assert batch_response.id == batch_id, ( - f"batch_response.id mismatch: got '{batch_response.id}' but expected '{batch_id}'" - ) - assert_managed_id(batch_response.input_file_id, "batch_response.input_file_id") - assert_managed_id( - batch_response.output_file_id, - "batch_response.output_file_id", - ) - - return batch_response - - def _get_and_verify_batch_output(self, output_file_id): - print("\nRetrieving batch output file metadata...") - metadata = self.openai_client.files.retrieve(output_file_id) - assert_managed_id(metadata.id, "files.retrieve(output_file_id).id") - assert metadata.id == output_file_id, ( - f"Output file ID mismatch: retrieve returned '{metadata.id}' but expected '{output_file_id}'" - ) - assert metadata.object == "file" - assert metadata.bytes > 0, "bytes not set" - assert metadata.filename, "filename not set" - assert metadata.purpose in ["batch_output", "batch"] - assert metadata.created_at > 0 - self.print_file_metadata(metadata, "Output file") - - print("\nFetching batch output file content...") - content = self.openai_client.files.content(output_file_id) - assert content.text, "No batch file content returned" - assert len(content.text) > 0, "Batch file content is empty" - print(f"Output file content ({len(content.text)} bytes):") - for line in content.text.strip().split("\n")[:3]: - print(f"\t{line}") - - return metadata - - def _delete_file(self, file_id, label, max_retries=10, retry_delay=5): - print(f"\nDeleting {label}: {self.shorten_id(file_id)}") - for attempt in range(max_retries): - try: - self.openai_client.files.delete(file_id) - return - except openai.BadRequestError as e: - if "batch_processed" in str(e) and attempt < max_retries - 1: - print( - f" File still referenced by unprocessed batch, " - f"retrying in {retry_delay}s ({attempt + 1}/{max_retries})" - ) - time.sleep(retry_delay) - else: - pytest.fail(f"files.delete({label}) failed: {e}") - except openai.APIError as e: - pytest.fail(f"files.delete({label}) failed: {e}") - - def _verify_file_deleted(self, file_id, label): - print(f"Verifying {label} is deleted...") - try: - self.openai_client.files.content(file_id) - assert False, f"{label} {file_id} still accessible after deletion" - except openai.NotFoundError: - print(f"{label} correctly not accessible after deletion") - - # ------------------------------------------------------------------ - # Tests - # ------------------------------------------------------------------ - - @pytest.mark.flaky(reruns=2) - @pytest.mark.parametrize( - "model_name", - get_batch_model_names(), - ids=model_id, - ) - def test_e2e_managed_batch(self, tmp_path, model_name): - print( - f"\n\nStarting test with base_url={self.base_url} and model_name={model_name}\n", - ) - self.reset_mock_server() - tracker = self.create_state_tracker() - - batch_input_file = self._create_and_verify_batch_input_file( - tmp_path, - model_name, - ) - tracker.set_file_id(batch_input_file.id) - tracker.print_state("After creating batch input file") - - batch = self._create_and_verify_batch(batch_input_file.id) - tracker.set_batch_id(batch.id) - tracker.print_state("After creating batch") - - self._list_batches(batch.id, model_name) - - batch_response = self._wait_for_batch_completion(batch.id, tracker) - tracker.print_state("After batch completed") - - self._get_and_verify_batch_output(batch_response.output_file_id) - tracker.print_state("After retrieving output file") - - tracker.print_state("Final state after cleanup") - tracker.wait_and_print_s3_callbacks() - tracker.assert_batch_cost_callback() - - self._delete_file(batch_input_file.id, "input file") - self._delete_file(batch_response.output_file_id, "output file") - - self._verify_file_deleted(batch_input_file.id, "input file") - self._verify_file_deleted(batch_response.output_file_id, "output file") - - def cleanup_batches_in_database(self): - import psycopg2 - - print("Cleaning up stale batch records from database...") - try: - conn = psycopg2.connect( - host="localhost", - port=5432, - database="litellm", - user="llmproxy", - password="dbpassword9090", - ) - with conn.cursor() as cur: - cur.execute(""" - DELETE FROM "LiteLLM_ManagedObjectTable" - WHERE file_purpose = 'batch' AND status = 'validating' - """) - deleted = cur.rowcount - conn.commit() - if deleted > 0: - print(f"Deleted {deleted} stale batch records") - conn.close() - except Exception as e: - print(f"Warning: Could not clean up database: {e}") - - def clear_s3_callbacks(self): - clear_response = httpx.delete(f"{get_mock_server_base_url()}/mock-s3/callbacks") - assert clear_response.status_code == 200, ( - f"Failed to clear callbacks: {clear_response.text}" - ) - return clear_response.json() - - @pytest.mark.skipif( - True, - reason="Skipping managed files test till managed files feature is available", - ) - @pytest.mark.parametrize( - "model_name", - get_batch_model_names(), - ids=model_id, - ) - def test_error_files(self, tmp_path, model_name): - raise NotImplementedError( - "To implement. Fail a batch and retrieve the error file.", - ) \ No newline at end of file diff --git a/tests/proxy_e2e_azure_batches_tests/validate_e2e_setup.py b/tests/proxy_e2e_azure_batches_tests/validate_e2e_setup.py deleted file mode 100644 index e3991f21004..00000000000 --- a/tests/proxy_e2e_azure_batches_tests/validate_e2e_setup.py +++ /dev/null @@ -1,119 +0,0 @@ -#!/usr/bin/env python -""" -Validation script for Azure Batch E2E test setup. -Run this before running the actual tests to verify all components are accessible. -""" - -import os -import sys -from pathlib import Path - -sys.path.insert(0, os.path.abspath("../..")) - -def check_imports(): - """Verify all required imports work.""" - print("Checking imports...") - try: - from base_integration_test import ( - get_mock_server_base_url, - get_litellm_base_url, - get_litellm_api_key, - ) - print(" ✓ base_integration_test imports OK") - - from test_managed_files_base import ManagedFilesBase, get_batch_model_names - print(" ✓ test_managed_files_base imports OK") - - from fixtures.mock_azure_batch_server import create_mock_azure_batch_server - print(" ✓ mock_azure_batch_server imports OK") - - import httpx - import openai - import psycopg2 - import uvicorn - print(" ✓ All external dependencies OK") - - return True - except ImportError as e: - print(f" ✗ Import error: {e}") - return False - - -def check_config_file(): - """Verify config file exists.""" - print("\nChecking config file...") - config_path = Path(__file__).parent / "fixtures" / "config.yml" - if config_path.exists(): - print(f" ✓ Config file found: {config_path}") - return True - else: - print(f" ✗ Config file not found: {config_path}") - return False - - -def check_database(): - """Verify database connection.""" - print("\nChecking database connection...") - try: - import psycopg2 - conn = psycopg2.connect( - host="localhost", - port=5432, - database="litellm", - user="llmproxy", - password="dbpassword9090", - ) - conn.close() - print(" ✓ Database connection OK") - return True - except Exception as e: - print(f" ✗ Database connection failed: {e}") - print(" Start PostgreSQL with:") - print(" docker run --name litellm-postgres -e POSTGRES_USER=llmproxy \\") - print(" -e POSTGRES_PASSWORD=dbpassword9090 -e POSTGRES_DB=litellm \\") - print(" -p 5432:5432 -d postgres:15") - return False - - -def check_ports(): - """Check if required ports are available.""" - print("\nChecking ports...") - import socket - - for port, name in [(4000, "LiteLLM Proxy"), (8090, "Mock Server")]: - with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: - try: - s.bind(("localhost", port)) - print(f" ✓ Port {port} ({name}) is available") - except OSError: - print(f" ⚠ Port {port} ({name}) is in use (will reuse if healthy)") - return True - - -def main(): - print("=" * 70) - print("Azure Batch E2E Test Setup Validation") - print("=" * 70) - - checks = [ - check_imports(), - check_config_file(), - check_database(), - check_ports(), - ] - - print("\n" + "=" * 70) - if all(checks): - print("✓ All checks passed! Ready to run E2E tests.") - print("\nRun tests with:") - print(" cd litellm") - print(" export DATABASE_URL='postgresql://llmproxy:dbpassword9090@localhost:5432/litellm'") - print(" poetry run pytest tests/proxy_e2e_azure_batches_tests/test_proxy_e2e_azure_batches.py -vv") - return 0 - else: - print("✗ Some checks failed. Please fix the issues above.") - return 1 - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/tests/proxy_unit_tests/test_check_responses_cost.py b/tests/proxy_unit_tests/test_check_responses_cost.py index 601df9c4c7f..6b64f52cd78 100644 --- a/tests/proxy_unit_tests/test_check_responses_cost.py +++ b/tests/proxy_unit_tests/test_check_responses_cost.py @@ -47,11 +47,15 @@ class TestCheckResponsesCost: CheckResponsesCost, ) - return CheckResponsesCost( + instance = CheckResponsesCost( proxy_logging_obj=mock_proxy_logging_obj, prisma_client=mock_prisma_client, llm_router=mock_llm_router, ) + # Mock _expire_stale_rows (raw SQL) so _cleanup_stale_managed_objects + # succeeds without a real DB. Individual tests can override this. + instance._expire_stale_rows = AsyncMock(return_value=0) + return instance def test_initialization(self, check_responses_cost_instance): """Test that CheckResponsesCost initializes correctly""" @@ -67,9 +71,6 @@ class TestCheckResponsesCost: mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock( return_value=[] ) - mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock( - return_value=0 - ) await check_responses_cost_instance.check_responses_cost() @@ -86,24 +87,20 @@ class TestCheckResponsesCost: async def test_cleanup_stale_managed_objects( self, check_responses_cost_instance, mock_prisma_client ): - """Stale rows (older than cutoff) are bulk-updated to stale_expired before polling.""" - mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock( - return_value=5 - ) + """Stale rows are expired via _expire_stale_rows before polling.""" + from litellm.constants import STALE_OBJECT_CLEANUP_BATCH_SIZE + + check_responses_cost_instance._expire_stale_rows = AsyncMock(return_value=5) mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock( return_value=[] ) await check_responses_cost_instance.check_responses_cost() - # The first update_many call should be the stale-row cleanup scoped to "response" - calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - stale_call = calls[0] - assert stale_call[1]["data"] == {"status": "stale_expired"} - where = stale_call[1]["where"] - assert where["file_purpose"] == "response" - assert "stale_expired" in where["status"]["not_in"] - assert "created_at" in where + # _expire_stale_rows should have been called with a cutoff datetime and batch size + check_responses_cost_instance._expire_stale_rows.assert_called_once() + call_args = check_responses_cost_instance._expire_stale_rows.call_args + assert call_args[0][1] == STALE_OBJECT_CLEANUP_BATCH_SIZE @pytest.mark.asyncio async def test_check_responses_cost_with_completed_response( @@ -145,10 +142,10 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # calls[0] = stale cleanup, calls[1] = job completion + # update_many should only contain the job completion call calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 2 - completion_call = calls[1] + assert len(calls) == 1 + completion_call = calls[0] assert completion_call[1]["data"]["status"] == "completed" assert completion_call[1]["where"]["id"]["in"] == ["job-123"] @@ -188,10 +185,10 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # calls[0] = stale cleanup, calls[1] = job completion + # update_many should only contain the job completion call calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 2 - assert calls[1][1]["data"]["status"] == "completed" + assert len(calls) == 1 + assert calls[0][1]["data"]["status"] == "completed" @pytest.mark.asyncio async def test_check_responses_cost_with_cancelled_response( @@ -229,10 +226,10 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # calls[0] = stale cleanup, calls[1] = job completion + # update_many should only contain the job completion call calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 2 - assert calls[1][1]["data"]["status"] == "completed" + assert len(calls) == 1 + assert calls[0][1]["data"]["status"] == "completed" @pytest.mark.asyncio async def test_check_responses_cost_with_in_progress_response( @@ -270,10 +267,11 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # Only the stale-cleanup call should have fired — no completion update + # No job completion update_many — response is still in progress calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 1 - assert calls[0][1]["data"] == {"status": "stale_expired"} + assert len(calls) == 0 + # Stale cleanup still ran via _expire_stale_rows + check_responses_cost_instance._expire_stale_rows.assert_called_once() @pytest.mark.asyncio async def test_check_responses_cost_with_queued_response( @@ -311,10 +309,11 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # Only the stale-cleanup call should have fired — no completion update + # No job completion update_many — response is still queued calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 1 - assert calls[0][1]["data"] == {"status": "stale_expired"} + assert len(calls) == 0 + # Stale cleanup still ran via _expire_stale_rows + check_responses_cost_instance._expire_stale_rows.assert_called_once() @pytest.mark.asyncio async def test_check_responses_cost_with_exception( @@ -345,10 +344,11 @@ class TestCheckResponsesCost: # Should not raise, just skip the job await check_responses_cost_instance.check_responses_cost() - # Only the stale-cleanup call should have fired — no completion update + # No job completion update_many — exception skipped the job calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 1 - assert calls[0][1]["data"] == {"status": "stale_expired"} + assert len(calls) == 0 + # Stale cleanup still ran via _expire_stale_rows + check_responses_cost_instance._expire_stale_rows.assert_called_once() @pytest.mark.asyncio async def test_check_responses_cost_multiple_jobs( @@ -424,10 +424,10 @@ class TestCheckResponsesCost: await check_responses_cost_instance.check_responses_cost() - # calls[0] = stale cleanup, calls[1] = completion of 2 finished jobs + # update_many should only contain the job completion call calls = mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args_list - assert len(calls) == 2 - completion_call = calls[1] + assert len(calls) == 1 + completion_call = calls[0] assert len(completion_call[1]["where"]["id"]["in"]) == 2 assert "job-1" in completion_call[1]["where"]["id"]["in"] assert "job-3" in completion_call[1]["where"]["id"]["in"] diff --git a/tests/proxy_unit_tests/test_jwt.py b/tests/proxy_unit_tests/test_jwt.py index a5be1a3a42d..9a8d6d37020 100644 --- a/tests/proxy_unit_tests/test_jwt.py +++ b/tests/proxy_unit_tests/test_jwt.py @@ -934,10 +934,7 @@ async def mock_user_object(*args, **kwargs): user_id = kwargs.get("user_id") user_email = kwargs.get("user_email") return LiteLLM_UserTable( - spend=0, - user_id=user_id, - max_budget=None, - user_email=user_email + spend=0, user_id=user_id, max_budget=None, user_email=user_email ) @@ -1170,15 +1167,13 @@ async def test_end_user_jwt_auth(monkeypatch): # use generated key to auth in from litellm import Router from litellm.types.router import RouterGeneralSettings - + # Create a router with pass_through_all_models enabled router = Router( model_list=[], - router_general_settings=RouterGeneralSettings( - pass_through_all_models=True - ), + router_general_settings=RouterGeneralSettings(pass_through_all_models=True), ) - + setattr(litellm.proxy.proxy_server, "premium_user", True) setattr( litellm.proxy.proxy_server, @@ -1196,7 +1191,7 @@ async def test_end_user_jwt_auth(monkeypatch): cost_tracking() result = await user_api_key_auth(request=request, api_key=bearer_token) - + # Assert that end_user_id is correctly extracted from JWT token's 'sub' field assert result.end_user_id == "81b3e52a-67a6-4efb-9645-70527e101479" @@ -1228,7 +1223,9 @@ async def test_end_user_jwt_auth(monkeypatch): ), ) - with patch("litellm.acompletion", new=AsyncMock(return_value=mock_response)) as mock_completion: + with patch( + "litellm.acompletion", new=AsyncMock(return_value=mock_response) + ) as mock_completion: resp = await chat_completion( request=request, fastapi_response=temp_response, @@ -1243,10 +1240,13 @@ async def test_end_user_jwt_auth(monkeypatch): # Verify the completion was called with correct end_user_id mock_completion.assert_called_once() call_kwargs = mock_completion.call_args.kwargs - + # end_user_id is passed in metadata as 'user_api_key_end_user_id' metadata = call_kwargs.get("metadata", {}) - assert metadata.get("user_api_key_end_user_id") == "81b3e52a-67a6-4efb-9645-70527e101479" + assert ( + metadata.get("user_api_key_end_user_id") + == "81b3e52a-67a6-4efb-9645-70527e101479" + ) def test_can_rbac_role_call_route(): @@ -1278,13 +1278,13 @@ def test_user_api_key_auth_jwt_hashing(): """ from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.auth.handle_jwt import JWTHandler - + # Test with a JWT token (3 parts separated by dots) jwt_token = "test-jwt-token-header.payload.signature" - + # Create UserAPIKeyAuth instance with JWT user_auth = UserAPIKeyAuth(api_key=jwt_token) - + # Verify that the API key is hashed with "hashed-jwt-" prefix # critical - the raw JWT token should not be in the api_key or token assert user_auth.api_key.startswith("hashed-jwt-") @@ -1292,19 +1292,18 @@ def test_user_api_key_auth_jwt_hashing(): assert jwt_token not in user_auth.api_key assert jwt_token not in user_auth.token - # Test with a regular API key (should not be hashed) regular_api_key = "sk-1234567890abcdef" user_auth_regular = UserAPIKeyAuth(api_key=regular_api_key) - + # Verify that regular API key is hashed normally (without "hashed-jwt-" prefix) assert not user_auth_regular.api_key.startswith("hashed-jwt-") assert not user_auth_regular.token.startswith("hashed-jwt-") - + # Test with a non-JWT, non-sk string (should not be hashed) non_jwt_key = "some-random-key" user_auth_non_jwt = UserAPIKeyAuth(api_key=non_jwt_key) - + # Verify that non-JWT key is not hashed assert user_auth_non_jwt.api_key == non_jwt_key assert user_auth_non_jwt.token == non_jwt_key @@ -1315,19 +1314,19 @@ def test_jwt_handler_is_jwt_static_method(): Test that JWTHandler.is_jwt is a static method and works correctly """ from litellm.proxy.auth.handle_jwt import JWTHandler - + # Test with valid JWT format valid_jwt = "test-jwt-token-header.payload.signature" assert JWTHandler.is_jwt(valid_jwt) == True - + # Test with invalid JWT format (only 2 parts) invalid_jwt = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ" assert JWTHandler.is_jwt(invalid_jwt) == False - + # Test with regular API key regular_key = "sk-1234567890abcdef" assert JWTHandler.is_jwt(regular_key) == False - + # Test with empty string assert JWTHandler.is_jwt("") == False @@ -1461,7 +1460,13 @@ async def test_auth_jwt_es256_jwk_path(monkeypatch): now = int(time.time()) token = jwt.encode( - {"sub": "alice", "aud": "litellm-proxy", "iss": "http://example", "iat": now, "exp": now + 300}, + { + "sub": "alice", + "aud": "litellm-proxy", + "iss": "http://example", + "iat": now, + "exp": now + 300, + }, ec_priv_pem, algorithm="ES256", headers={"kid": "ec1"}, @@ -1508,7 +1513,13 @@ async def test_auth_jwt_rs256_regression(monkeypatch): now = int(time.time()) token = jwt.encode( - {"sub": "bob", "aud": "litellm-proxy", "iss": "http://example", "iat": now, "exp": now + 300}, + { + "sub": "bob", + "aud": "litellm-proxy", + "iss": "http://example", + "iat": now, + "exp": now + 300, + }, rsa_priv_pem, algorithm="RS256", headers={"kid": "rsa1"}, @@ -1540,7 +1551,13 @@ async def test_auth_jwt_mismatched_key_fails(monkeypatch): ) now = int(time.time()) token = jwt.encode( - {"sub": "mallory", "aud": "litellm-proxy", "iss": "http://example", "iat": now, "exp": now + 300}, + { + "sub": "mallory", + "aud": "litellm-proxy", + "iss": "http://example", + "iat": now, + "exp": now + 300, + }, ec_priv_pem, algorithm="ES256", headers={"kid": "ec1"}, @@ -1566,4 +1583,4 @@ async def test_auth_jwt_mismatched_key_fails(monkeypatch): with patch.object(h, "get_public_key", new=AsyncMock(return_value=rsa_jwk)): with pytest.raises(Exception) as exc: await h.auth_jwt(token) - assert "Validation fails" in str(exc.value) \ No newline at end of file + assert "Validation fails" in str(exc.value) diff --git a/tests/proxy_unit_tests/test_proxy_utils.py b/tests/proxy_unit_tests/test_proxy_utils.py index 6c6ec7bcd60..09f6a85938d 100644 --- a/tests/proxy_unit_tests/test_proxy_utils.py +++ b/tests/proxy_unit_tests/test_proxy_utils.py @@ -2637,3 +2637,50 @@ async def test_handle_logging_proxy_only_error_skips_handlers_for_pass_through() mock_async.assert_not_called() mock_sync.assert_not_called() assert logging_obj.call_type == CallTypes.pass_through.value + + +def test_handle_exception_on_proxy_preserves_status_code(): + """ + OpenAI batch creation returns 429 for rate limits. LiteLLM wraps this as a + RateLimitError with status_code=429. handle_exception_on_proxy must pass + that status code through instead of hardcoding 500. + """ + from litellm.proxy.utils import handle_exception_on_proxy + + rate_limit_error = litellm.RateLimitError( + message="Rate limit exceeded: batch creation limit of 2000/hour hit", + llm_provider="openai", + model="gpt-4o", + ) + + result = handle_exception_on_proxy(rate_limit_error) + + assert int(result.code) == 429, f"Expected 429, got {result.code}" + + +def test_handle_exception_on_proxy_defaults_to_500_for_unknown_exceptions(): + """ + Generic exceptions with no status_code should still return 500. + """ + from litellm.proxy.utils import handle_exception_on_proxy + + result = handle_exception_on_proxy(Exception("something went wrong")) + + assert int(result.code) == 500, f"Expected 500, got {result.code}" + + +def test_handle_exception_on_proxy_preserves_auth_error_status_code(): + """ + AuthenticationError (401) should also pass through correctly. + """ + from litellm.proxy.utils import handle_exception_on_proxy + + auth_error = litellm.AuthenticationError( + message="Invalid API key", + llm_provider="openai", + model="gpt-4o", + ) + + result = handle_exception_on_proxy(auth_error) + + assert int(result.code) == 401, f"Expected 401, got {result.code}" diff --git a/tests/proxy_unit_tests/test_user_api_key_auth.py b/tests/proxy_unit_tests/test_user_api_key_auth.py index 1a6e2eda9a1..75f0d5e3195 100644 --- a/tests/proxy_unit_tests/test_user_api_key_auth.py +++ b/tests/proxy_unit_tests/test_user_api_key_auth.py @@ -359,27 +359,38 @@ async def test_auth_with_allowed_routes(route, should_raise_error): @pytest.mark.parametrize( - "route, user_role, expected_result", + "route, user_role, should_be_allowed", [ - # Proxy Admin checks + # Admin can access everything + ("/config/update", "proxy_admin", True), ("/global/spend/logs", "proxy_admin", True), - ("/key/delete", "proxy_admin", False), - ("/key/generate", "proxy_admin", False), - ("/key/regenerate", "proxy_admin", False), - # Internal User checks - allowed routes + ("/global/activity/cache_hits", "proxy_admin", True), + # Internal User - allowed read-only routes ("/global/spend/logs", "internal_user", True), - ("/key/delete", "internal_user", False), - ("/key/generate", "internal_user", False), - ("/key/82akk800000000jjsk/regenerate", "internal_user", False), - # Internal User Viewer - ("/key/generate", "internal_user_viewer", False), - # Internal User checks - disallowed routes + ("/spend/logs/ui", "internal_user", True), + ("/global/activity/cache_hits", "internal_user", True), + ("/health/services", "internal_user", True), + # Internal User - BLOCKED from admin routes (security fix) + ("/config/update", "internal_user", False), + ("/config/pass_through_endpoint", "internal_user", False), + ("/config/field/update", "internal_user", False), ("/organization/member_add", "internal_user", False), + # Internal User Viewer - allowed spend routes only + ("/spend/logs/ui", "internal_user_viewer", True), + ("/global/spend/all_tag_names", "internal_user_viewer", True), + # Internal User Viewer - blocked from admin routes + ("/config/update", "internal_user_viewer", False), + ("/key/generate", "internal_user_viewer", False), ], ) -def test_is_ui_route_allowed(route, user_role, expected_result): - from litellm.proxy.auth.auth_checks import _is_ui_route - from litellm.proxy._types import LiteLLM_UserTable +def test_ui_token_route_access(route, user_role, should_be_allowed): + """ + Verify that UI tokens (team_id=litellm-dashboard) go through the same + RBAC checks as API tokens. Non-admin dashboard users must not be able + to access admin-only routes like /config/update. + """ + from litellm.proxy.auth.auth_checks import _is_api_route_allowed + from litellm.proxy._types import LiteLLM_UserTable, UserAPIKeyAuth user_obj = LiteLLM_UserTable( user_id="3b803c0e-666e-4e99-bd5c-6e534c07e297", @@ -395,18 +406,36 @@ def test_is_ui_route_allowed(route, user_role, expected_result): organization_memberships=[], ) - received_args: dict = { - "route": route, - "user_obj": user_obj, - } - try: - assert _is_ui_route(**received_args) == expected_result - except Exception as e: - # If expected result is False, we expect an error - if expected_result is False: - pass - else: - raise e + valid_token = UserAPIKeyAuth( + user_id="3b803c0e-666e-4e99-bd5c-6e534c07e297", + team_id="litellm-dashboard", + user_role=user_role, + ) + + from starlette.datastructures import URL + from fastapi import Request + + request = Request(scope={"type": "http"}) + request._url = URL(url=route) + + if should_be_allowed: + result = _is_api_route_allowed( + route=route, + request=request, + request_data={}, + valid_token=valid_token, + user_obj=user_obj, + ) + assert result is True + else: + with pytest.raises(Exception): + _is_api_route_allowed( + route=route, + request=request, + request_data={}, + valid_token=valid_token, + user_obj=user_obj, + ) @pytest.mark.parametrize( @@ -684,7 +713,7 @@ async def test_soft_budget_alert(): def test_is_allowed_route(): - from litellm.proxy.auth.auth_checks import _is_allowed_route + from litellm.proxy.auth.auth_checks import _is_api_route_allowed from litellm.proxy._types import UserAPIKeyAuth import datetime @@ -692,7 +721,6 @@ def test_is_allowed_route(): args = { "route": "/embeddings", - "token_type": "api", "request": request, "request_data": {"input": ["hello world"], "model": "embedding-small"}, "valid_token": UserAPIKeyAuth( @@ -752,7 +780,7 @@ def test_is_allowed_route(): "user_obj": None, } - assert _is_allowed_route(**args) + assert _is_api_route_allowed(**args) @pytest.mark.parametrize( @@ -836,7 +864,6 @@ async def test_user_api_key_auth_websocket(): with patch( "litellm.proxy.auth.user_api_key_auth.user_api_key_auth", autospec=True ) as mock_user_api_key_auth: - # Make the call to the WebSocket function await user_api_key_auth_websocket(mock_websocket) @@ -845,10 +872,14 @@ async def test_user_api_key_auth_websocket(): # Get the request object that was passed to user_api_key_auth request_arg = mock_user_api_key_auth.call_args.kwargs["request"] - + # Verify that the request has headers set - assert hasattr(request_arg, "headers"), "Request object should have headers attribute" - assert "authorization" in request_arg.headers, "Request headers should contain authorization" + assert hasattr( + request_arg, "headers" + ), "Request object should have headers attribute" + assert ( + "authorization" in request_arg.headers + ), "Request headers should contain authorization" assert request_arg.headers["authorization"] == "Bearer some_api_key" assert ( @@ -1036,7 +1067,10 @@ async def test_jwt_non_admin_team_route_access(monkeypatch): # Create request request = Request( - scope={"type": "http", "headers": [(b"authorization", b"Bearer fake.jwt.token")]} + scope={ + "type": "http", + "headers": [(b"authorization", b"Bearer fake.jwt.token")], + } ) request._url = URL(url="/team/new") @@ -1101,14 +1135,14 @@ async def test_x_litellm_api_key(): ignored_key = "aj12445" # Create request with headers as bytes - request = Request( - scope={ - "type": "http" - } - ) + request = Request(scope={"type": "http"}) request._url = URL(url="/chat/completions") - valid_token = await user_api_key_auth(request=request, api_key="Bearer " + ignored_key, custom_litellm_key_header=master_key) + valid_token = await user_api_key_auth( + request=request, + api_key="Bearer " + ignored_key, + custom_litellm_key_header=master_key, + ) assert valid_token.token == hash_token(master_key) @@ -1123,7 +1157,9 @@ async def test_user_api_key_from_query_param(): from litellm.proxy.proxy_server import hash_token, user_api_key_cache user_key = "sk-query-1234" - user_api_key_cache.set_cache(key=hash_token(user_key), value=UserAPIKeyAuth(token=hash_token(user_key))) + user_api_key_cache.set_cache( + key=hash_token(user_key), value=UserAPIKeyAuth(token=hash_token(user_key)) + ) setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache) setattr(litellm.proxy.proxy_server, "master_key", "sk-1234") @@ -1136,7 +1172,9 @@ async def test_user_api_key_from_query_param(): "query_string": f"alt=sse&key={user_key}".encode(), } ) - request._url = URL(url=f"/v1beta/models/gemini:streamGenerateContent?alt=sse&key={user_key}") + request._url = URL( + url=f"/v1beta/models/gemini:streamGenerateContent?alt=sse&key={user_key}" + ) async def return_body(): return b"{}" @@ -1145,4 +1183,3 @@ async def test_user_api_key_from_query_param(): valid_token = await user_api_key_auth(request=request, api_key="") assert valid_token.token == hash_token(user_key) - diff --git a/tests/test_litellm/integrations/test_prometheus_client_ip_user_agent.py b/tests/test_litellm/integrations/test_prometheus_client_ip_user_agent.py index 4bfa3a581e3..48d9cbd1bb1 100644 --- a/tests/test_litellm/integrations/test_prometheus_client_ip_user_agent.py +++ b/tests/test_litellm/integrations/test_prometheus_client_ip_user_agent.py @@ -118,6 +118,8 @@ async def test_async_post_call_success_hook_includes_client_ip_user_agent(): "user_api_key_alias": "alias_1", "user_api_key_team_id": "team_1", "user_api_key_team_alias": "team_alias_1", + "user_api_key_org_id": None, + "user_api_key_org_alias": None, "user_api_key_user_email": "test@example.com", "user_api_key_request_route": "/chat/completions", "requester_ip_address": "192.168.1.1", diff --git a/tests/test_litellm/integrations/test_prometheus_user_team_metrics.py b/tests/test_litellm/integrations/test_prometheus_user_team_metrics.py index 9bcf08fdd71..6b65f444046 100644 --- a/tests/test_litellm/integrations/test_prometheus_user_team_metrics.py +++ b/tests/test_litellm/integrations/test_prometheus_user_team_metrics.py @@ -525,6 +525,61 @@ async def test_set_user_budget_metrics_after_api_request_inf_when_genuinely_no_b ) +def test_per_request_metrics_emit_all_identity_labels(prometheus_logger): + """Verify org labels appear when flag is on and are absent when flag is off.""" + import litellm + from litellm.types.integrations.prometheus import UserAPIKeyLabelValues + + prometheus_logger.litellm_requests_metric = MagicMock() + prometheus_logger.litellm_spend_metric = MagicMock() + + enum_values = UserAPIKeyLabelValues( + hashed_api_key="hashed-key", + api_key_alias="my-key", + model="gpt-4", + team="team-abc", + team_alias="my-team", + org_id="org-abc", + org_alias="my-org", + user="user-1", + ) + + common_kwargs = dict( + end_user_id=None, + user_api_key="hashed-key", + user_api_key_alias="my-key", + model="gpt-4", + user_api_team="team-abc", + user_api_team_alias="my-team", + user_id="user-1", + response_cost=0.001, + enum_values=enum_values, + ) + + try: + # org labels are always included in per-request metrics + prometheus_logger._increment_top_level_request_and_spend_metrics(**common_kwargs) + label_kwargs = prometheus_logger.litellm_requests_metric.labels.call_args.kwargs + assert label_kwargs["org_id"] == "org-abc" + assert label_kwargs["org_alias"] == "my-org" + assert label_kwargs["team"] == "team-abc" + assert label_kwargs["user"] == "user-1" + + # Metrics not in the org-emission list must NOT get org labels + from litellm.types.integrations.prometheus import PrometheusMetricLabels + for metric in ("litellm_remaining_api_key_budget_metric", "litellm_remaining_team_budget_metric"): + labels = PrometheusMetricLabels.get_labels(metric) + assert "org_id" not in labels, f"{metric} should not have org_id" + assert "org_alias" not in labels, f"{metric} should not have org_alias" + + # org_id in custom_prometheus_metadata_labels must not produce duplicate labels + litellm.custom_prometheus_metadata_labels = ["org_id"] + labels = PrometheusMetricLabels.get_labels("litellm_requests_metric") + assert labels.count("org_id") == 1 + finally: + litellm.custom_prometheus_metadata_labels = [] + + # --------------------------------------------------------------------------- # Org budget metric tests # --------------------------------------------------------------------------- diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py index 20427e8cc94..bc40919525e 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py @@ -1,7 +1,9 @@ -from unittest.mock import MagicMock +from unittest.mock import AsyncMock, MagicMock + +import pytest from litellm.constants import RESPONSE_FORMAT_TOOL_NAME -from litellm.llms.anthropic.chat.handler import ModelResponseIterator +from litellm.llms.anthropic.chat.handler import ModelResponseIterator, make_call from litellm.types.llms.openai import ( ChatCompletionToolCallChunk, ChatCompletionToolCallFunctionChunk, @@ -9,6 +11,33 @@ from litellm.types.llms.openai import ( from litellm.types.responses.main import OutputCodeInterpreterCall +@pytest.mark.asyncio +async def test_make_call_passes_logging_obj_to_client_post(): + """make_call must pass logging_obj to client.post so track_llm_api_timing can set llm_api_duration_ms for litellm_overhead_time_ms.""" + mock_client = AsyncMock() + mock_response = MagicMock() + mock_response.aiter_lines = MagicMock(return_value=iter([b'data: {"type":"message_start"}\n', b'data: {"type":"message_delta"}\n'])) + mock_client.post.return_value = mock_response + + logging_obj = MagicMock() + + await make_call( + client=mock_client, + api_base="https://api.anthropic.com/v1/messages", + headers={}, + data="{}", + model="claude-3-5-haiku", + messages=[{"role": "user", "content": "Hi"}], + logging_obj=logging_obj, + timeout=60.0, + json_mode=False, + ) + + mock_client.post.assert_called_once() + call_kwargs = mock_client.post.call_args[1] + assert call_kwargs.get("logging_obj") is logging_obj + + def test_redacted_thinking_content_block_delta(): chunk = { "type": "content_block_start", diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index ea208007cd6..570e11e1bb7 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -3,6 +3,7 @@ import json import os import sys from datetime import datetime +from unittest.mock import Mock import pytest @@ -125,7 +126,8 @@ async def test_bedrock_sse_wrapper_keeps_usage_in_message_start_and_message_delt assert "usage" in delta_json assert delta_json["usage"]["cache_creation_input_tokens"] == 1562 assert delta_json["usage"]["cache_read_input_tokens"] == 32392 - assert delta_json["usage"]["input_tokens"] == 3 + 1562 + 32392 + assert delta_json["usage"]["input_tokens"] == 3 + assert delta_json["usage"]["output_tokens"] == 8 def test_chunk_parser_usage_transformation(): @@ -402,3 +404,111 @@ def test_bedrock_messages_strips_output_config_with_output_format(): assert "output_config" not in result assert "output_format" not in result + + +@pytest.mark.asyncio +async def test_promote_message_stop_usage_preserves_message_delta_output_tokens(): + """ + Bedrock unified /messages streaming can send full usage on message_delta and a + conflicting smaller usage on message_stop (e.g. output_tokens 9 vs 12). + _promote_message_stop_usage must not replace message_delta output_tokens. + """ + cfg = AmazonAnthropicClaudeMessagesConfig() + + async def _stream(): # type: ignore[return-type] + yield { + "type": "message_delta", + "delta": {"stop_reason": "end_turn", "stop_sequence": None}, + "usage": { + "input_tokens": 3, + "cache_creation_input_tokens": 10553, + "cache_read_input_tokens": 25490, + "output_tokens": 12, + }, + } + yield { + "type": "message_stop", + "usage": {"input_tokens": 3, "output_tokens": 9}, + } + + merged: list[dict] = [] + async for chunk in cfg._promote_message_stop_usage(_stream()): + if isinstance(chunk, dict): + merged.append(chunk) + + assert len(merged) >= 1 + delta_out = merged[0] + assert delta_out["type"] == "message_delta" + assert delta_out["usage"]["output_tokens"] == 12 + assert delta_out["usage"]["cache_creation_input_tokens"] == 10553 + assert delta_out["usage"]["cache_read_input_tokens"] == 25490 + assert delta_out["usage"]["input_tokens"] == 3 + + +@pytest.mark.asyncio +async def test_unified_bedrock_messages_sse_usage_and_cost_claude_sonnet_46(): + """ + End-to-end for Bedrock Invoke Anthropic Messages (unified) streaming path: + dict chunks -> _promote_message_stop_usage -> bedrock_sse_wrapper SSE bytes -> + same logging reconstruction as Anthropic /messages. Ensures token counts and + completion_cost match model_prices for us.anthropic.claude-sonnet-4-6. + """ + from litellm import completion_cost + from litellm.proxy.pass_through_endpoints.llm_provider_handlers.anthropic_passthrough_logging_handler import ( + AnthropicPassthroughLoggingHandler, + ) + + cfg = AmazonAnthropicClaudeMessagesConfig() + + async def _stream(): # type: ignore[return-type] + yield { + "type": "message_delta", + "delta": {"stop_reason": "end_turn", "stop_sequence": None}, + "usage": { + "input_tokens": 3, + "cache_creation_input_tokens": 10553, + "cache_read_input_tokens": 25490, + "output_tokens": 12, + }, + } + yield { + "type": "message_stop", + "usage": {"input_tokens": 3, "output_tokens": 9}, + } + + logging_obj = LiteLLMLoggingObj( + model="bedrock/us.anthropic.claude-sonnet-4-6", + messages=[{"role": "user", "content": "Hello"}], + stream=True, + call_type="chat", + start_time=datetime.now(), + litellm_call_id="test_unified_bedrock_messages_sse_cost", + function_id="test_unified_bedrock_messages_sse_cost", + ) + + collected: list[bytes] = [] + async for sse in cfg.bedrock_sse_wrapper( + completion_stream=_stream(), + litellm_logging_obj=logging_obj, + request_body={"model": "us.anthropic.claude-sonnet-4-6"}, + ): + collected.append(sse) + + built = AnthropicPassthroughLoggingHandler._build_complete_streaming_response( + all_chunks=collected, + model="us.anthropic.claude-sonnet-4-6", + litellm_logging_obj=Mock(), + ) + assert built.usage is not None + assert built.usage.completion_tokens == 12 + assert built.usage.prompt_tokens == 36046 + assert built.usage.total_tokens == 36058 + assert built.usage.cache_creation_input_tokens == 10553 + assert built.usage.cache_read_input_tokens == 25490 + + cost = completion_cost( + completion_response=built, + model="bedrock/us.anthropic.claude-sonnet-4-6", + custom_llm_provider="bedrock", + ) + assert cost == pytest.approx(0.052150725, rel=0, abs=1e-9) diff --git a/tests/test_litellm/llms/sap/chat/test_sap_tool_parameters.py b/tests/test_litellm/llms/sap/chat/test_sap_tool_parameters.py index 792d2f3fe6b..a5a3fa40d98 100644 --- a/tests/test_litellm/llms/sap/chat/test_sap_tool_parameters.py +++ b/tests/test_litellm/llms/sap/chat/test_sap_tool_parameters.py @@ -127,11 +127,12 @@ class TestToolTransformationIntegration: } validated_tool = validate_dict(openai_tool, ChatCompletionTool) - + # After validation, parameters should have type='object' assert validated_tool["function"]["parameters"]["type"] == "object" assert "properties" in validated_tool["function"]["parameters"] + def test_should_transform_tool_with_existing_parameters(self): """Tool with parameters should preserve them while ensuring type='object'.""" from litellm.llms.sap.chat.transformation import validate_dict diff --git a/tests/test_litellm/llms/sap/chat/test_sap_transformation.py b/tests/test_litellm/llms/sap/chat/test_sap_transformation.py new file mode 100644 index 00000000000..15ce1c85e8f --- /dev/null +++ b/tests/test_litellm/llms/sap/chat/test_sap_transformation.py @@ -0,0 +1,564 @@ +import warnings +import pytest +from pydantic import ValidationError + +class TestSAPTransformationIntegration: + """Integration tests for SAP transformation.""" + + @pytest.fixture + def mock_config(self): + from litellm.llms.sap.chat.transformation import GenAIHubOrchestrationConfig + + config = GenAIHubOrchestrationConfig() + config.token_creator = lambda: "Bearer TEST_TOKEN" + config._base_url = "https://api.test-sap.com" + config._resource_group = "test-group" + + return config + + def test_parameter_classification_in_transform_request(self, mock_config): + """Test parameter classification within the actual transform_request method.""" + + model = "gpt-4o" + messages = [{"role": "user", "content": "Hello"}] + + optional_params = { + "temperature": 0.7, + "max_tokens": 100, + "deployment_url": "https://custom.sap.com/deployment/123", + "model_version": "v1.5", + "tools": [{"type": "function", "function": {"name": "calculator"}}], + "frequency_penalty": 0.1 + } + + result = mock_config.transform_request( + model, messages, optional_params, {}, {} + ) + + model_params = result["config"]["modules"]["prompt_templating"]["model"]["params"] + + assert "temperature" in model_params + assert "frequency_penalty" in model_params + assert "deployment_url" not in model_params + assert "model_version" not in model_params + assert "tools" not in model_params + + model_version = result["config"]["modules"]["prompt_templating"]["model"]["version"] + assert model_version == "v1.5" + + prompt = result["config"]["modules"]["prompt_templating"]["prompt"] + if "tools" in prompt: + assert isinstance(prompt["tools"], list) + for tool in prompt["tools"]: + assert tool["function"]["parameters"]["type"] == "object", ( + "SAP API requires parameters.type == 'object'" + ) + assert "properties" in tool["function"]["parameters"] + + def test_transform_request_parameter_handling_robustness(self, mock_config): + """Test transform_request method handles various parameter combinations correctly.""" + + model = "gpt-4o" + messages = [{"role": "user", "content": "Hello"}] + + test_cases = [ + # Case 1: Basic parameters only + { + "params": {"temperature": 0.7, "max_tokens": 100}, + "expected_in_model": {"temperature", "max_tokens"}, + "expected_excluded": set() + }, + # Case 2: Parameters with auth/infrastructure components + { + "params": { + "temperature": 0.8, + "deployment_url": "https://api.sap.com/deployments/test", + "max_tokens": 150 + }, + "expected_in_model": {"temperature", "max_tokens"}, + "expected_excluded": {"deployment_url"} + }, + # Case 3: Parameters with framework components + { + "params": { + "temperature": 0.6, + "model_version": "v2.0", + "tools": [{"function": {"name": "test"}}], + "frequency_penalty": 0.1 + }, + "expected_in_model": {"temperature", "frequency_penalty"}, + "expected_excluded": {"model_version", "tools"} + } + ] + + for i, test_case in enumerate(test_cases): + filtered_params = { + k: v for k, v in test_case["params"].items() + if k not in {"tools", "model_version", "deployment_url"} + } + + for expected_param in test_case["expected_in_model"]: + assert expected_param in filtered_params, f"Case {i + 1}: {expected_param} should be in model params" + + for excluded_param in test_case["expected_excluded"]: + assert excluded_param not in filtered_params, f"Case {i + 1}: {excluded_param} should be excluded from model params" + + result = mock_config.transform_request( + model, messages, test_case["params"], {}, {} + ) + if result and "config" in result: + model_params = result["config"]["modules"]["prompt_templating"]["model"]["params"] + + for excluded_param in test_case["expected_excluded"]: + assert excluded_param not in model_params, ( + f"Case {i + 1}: {excluded_param} should not be in actual model params" + ) + + def test_config_transform_with_response_format_json_object(self, mock_config): + expected_dict = {'config': + {'modules': + {'prompt_templating': + {'prompt': + {'template': + [{'role': 'user', 'content': 'First man on the moon, answer in json'}], + 'response_format': {'type': 'json_object'}}, + 'model': {'name': 'gpt-4o', 'params': {}, 'version': 'latest'} + } + }, + } + } + config = mock_config.transform_request( + model="gpt-4o", + messages=[{'role': 'user', 'content': 'First man on the moon, answer in json'}], + optional_params={'response_format': {'type': 'json_object'}, + 'deployment_url': "shouldn't be in results"}, + litellm_params={}, + headers={} + ) + assert config == expected_dict + + def test_config_transform_with_response_format_json_schema(self, mock_config): + + expected_response_format = { + 'type': 'json_schema', + 'json_schema': { + 'description': 'Schema for person information', + 'name': 'person_info', + 'schema': { + 'type': 'object', + 'properties': { + 'name': { + 'type': 'string', + 'description': "The person's full name" + }, + 'age': { + 'type': 'integer', + 'description': "The person's age in years" + }, + 'occupation': { + 'type': 'string', + 'description': "The person's job title" + } + }, + 'required': ['name', 'age', 'occupation'], + 'additionalProperties': False + }, + 'strict': True + } + } + + config = mock_config.transform_request( + model="gpt-4o", + messages=[{'role': 'user', 'content': 'First man on the moon, answer in json'}], + optional_params={'response_format': expected_response_format, + 'deployment_url': "shouldn't be in results"}, + litellm_params={}, + headers={} + ) + assert config["config"]["modules"]["prompt_templating"]["prompt"]["response_format"] == expected_response_format + assert len(config["config"]["modules"]["prompt_templating"]["model"]["params"]) == 0 + + def test_config_transform_with_stream(self, mock_config): + expected_dict = { + 'config': { + 'modules': { + 'prompt_templating': { + 'prompt': { + 'template': [{'role': 'user', 'content': 'Hello, how are you?'}] + }, + 'model': { + 'name': 'anthropic--claude-4-sonnet', + 'params': {}, + 'version': 'latest' + } + } + }, + 'stream': {'chunk_size': 10} + } + } + config = mock_config.transform_request( + model="anthropic--claude-4-sonnet", + messages=[{'content': 'Hello, how are you?', 'role': 'user'}], + optional_params={'stream': True, + 'stream_options': {'chunk_size': 10}, + 'model_version': 'latest', + 'deployment_url': "shouldn't be in results"}, + litellm_params={}, + headers={} + ) + + assert config == expected_dict + + def test_sap_placeholder_defaults(self, mock_config): + config = mock_config.transform_request( + model="gpt-4o", + messages=[ + {"role": "user", "content": "Hello. Answer {{ ?user_query }}"} + ], + optional_params={'deployment_url': "shouldn't be in results", + "placeholder_defaults": {"user_query": "default value"}}, + litellm_params={}, + headers={} + ) + + assert config["config"]["modules"]["prompt_templating"]["prompt"]["defaults"] == { + "user_query": "default value"} + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + def test_sap_placeholder_values(self, mock_config): + placeholder_values = {"user_query": "Some text"} + config = mock_config.transform_request( + model="gpt-4o", + messages=[ + {"role": "user", "content": "Hello. Answer {{ ?user_query }}"} + ], + optional_params={'deployment_url': "shouldn't be in results", + "placeholder_values": placeholder_values}, + litellm_params={}, + headers={} + ) + + assert config["placeholder_values"] == placeholder_values + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + def test_sap_grounding(self, mock_config): + grounding_config = { + 'type': 'document_grounding_service', + 'config': { + 'filters': [ + {'id': 's3-docs', + 'data_repository_type': 'vector', + 'search_config': {'max_chunk_count': 2}, + 'data_repositories': ['123456890-test'] + } + ], + 'placeholders': {'input': ['user_query'], 'output': 'grounding_response'}, + 'metadata_params': ['source', 'webUrl', 'title', 'mimeType', 'fileSuffix'] + } + } + placeholder_values = {"user_query": "Some text"} + config = mock_config.transform_request( + model="gpt-4o", + messages=[ + {"role": "user", "content": "Hello. Answer {{ ?user_query }} using context: {{ ?grounding_response }}"} + ], + optional_params={'deployment_url': "shouldn't be in results", + "grounding": grounding_config, + "placeholder_values": placeholder_values}, + litellm_params={}, + headers={} + ) + assert config["placeholder_values"] == placeholder_values + modules = config["config"]["modules"] + assert modules["grounding"]["type"] == "document_grounding_service" + assert modules["grounding"]["config"]["placeholders"]["output"] == "grounding_response" + assert modules["grounding"]["config"]["filters"][0]["data_repository_type"] == "vector" + assert modules["prompt_templating"]["model"]["params"] == {} + + def test_grounding_search_config_rejects_both_count_fields(self, mock_config): + with pytest.raises(ValidationError): + mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hi"}], + optional_params={ + "grounding": { + "type": "document_grounding_service", + "config": { + "filters": [{"data_repository_type": "vector", + "search_config": {"max_chunk_count": 2, + "max_document_count": 5}}], + "placeholders": {"input": ["q"], "output": "r"}, + } + } + }, + litellm_params={}, headers={} + ) + + def test_sap_filtering(self, mock_config): + filtering_config_azure = { + 'input': + { + 'filters': + [ + {'type': 'azure_content_safety', + 'config': + {'hate': 0, + 'sexual': 0, + 'violence': 0, + 'self_harm': 0 + } + } + ] + }, + 'output': + { + 'filters': + [ + {'type': 'azure_content_safety', + 'config': {'hate': 0, + 'sexual': 0, + 'violence': 0, + 'self_harm': 0 + } + } + ] + } + } + filtering_config_llama = { + 'input': + { + 'filters': + [ + { + 'type': 'llama_guard_3_8b', + 'config': {'hate': True, + "elections": True} + } + ] + }, + 'output': + { + 'filters': + [ + { + 'type': 'llama_guard_3_8b', + 'config': {'hate': True, "elections": True} + } + ] + } + } + config = mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello."}], + optional_params={'deployment_url': "shouldn't be in results", + "filtering": filtering_config_azure}, + litellm_params={}, + headers={} + ) + assert config["config"]["modules"]["filtering"] == filtering_config_azure + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + config = mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello."}], + optional_params={'deployment_url': "shouldn't be in results", + "filtering": filtering_config_llama}, + litellm_params={}, + headers={} + ) + assert config["config"]["modules"]["filtering"] == filtering_config_llama + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + def test_filtering_config_requires_at_least_one_property(self, mock_config): + with pytest.raises(ValidationError) as exc_info: + mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello"}], + optional_params={ + "filtering": {} + }, + litellm_params={}, + headers={} + ) + + assert "For using SAP Filtering Module you must provide at least one property" in str(exc_info.value) + + + def test_sap_masking(self, mock_config): + masking_config = { + 'providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'}, + {'type': 'profile-email'}, + {'type': 'profile-phone'}, + {'type': 'profile-person'}, + {'type': 'profile-location'} + ] + } + ] + } + + config = mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello."}], + optional_params={'deployment_url': "shouldn't be in results", + "masking": masking_config}, + litellm_params={}, + headers={} + ) + assert config["config"]["modules"]["masking"] == masking_config + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + def test_masking_config_requires_exactly_one_provider_list(self, mock_config): + masking_config = { + 'providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'}, + {'type': 'profile-email'}, + {'type': 'profile-phone'}, + {'type': 'profile-person'}, + {'type': 'profile-location'} + ] + } + ], + 'masking_providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'} + ] + } + ] + } + with pytest.raises(ValidationError) as exc_info: + mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello"}], + optional_params={ + "masking": masking_config + }, + litellm_params={}, + headers={} + ) + + assert "must set exactly one of: 'providers' or 'masking_providers'" in str(exc_info.value) + + def test_masking_providers_deprecated_emits_warning(self, mock_config): + masking_config = { + 'masking_providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'} + ] + } + ] + } + with warnings.catch_warnings(record=True) as w: + warnings.simplefilter("always") + mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hi"}], + optional_params={"masking": masking_config}, + litellm_params={}, + headers={}, + ) + assert any( + issubclass(warning.category, DeprecationWarning) + and "masking_providers" in str(warning.message) + for warning in w + ), "Expected DeprecationWarning for 'masking_providers'" + + def test_sap_translation(self, mock_config): + translation_config = { + 'input': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'en-US', + 'target_language': 'de-DE'} + }, + 'output': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'de-DE', + 'target_language': 'fr-FR'} + } + } + + config = mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello."}], + optional_params={'deployment_url': "shouldn't be in results", + "translation": translation_config}, + litellm_params={}, + headers={} + ) + assert config["config"]["modules"]["translation"] == translation_config + assert config["config"]["modules"]["prompt_templating"]["model"]["params"] == {} + + def test_translation_config_requires_at_least_one_property(self, mock_config): + with pytest.raises(ValidationError) as exc_info: + mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello"}], + optional_params={ + "translation": {} + }, + litellm_params={}, + headers={} + ) + + assert "TranslationModuleConfig requires at least one of 'input' or 'output'" in str(exc_info.value) + + def test_sap_multiple_modules(self, mock_config): + translation_config = { + 'input': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'en-US', + 'target_language': 'de-DE'} + }, + 'output': + {'type': 'sap_document_translation', + 'config': + {'source_language': 'de-DE', + 'target_language': 'fr-FR'} + } + } + for model in ["sap/gpt-5", "gpt-5"]: + config = mock_config.transform_request( + model="gpt-4o", + messages=[{"role": "user", "content": "Hello."}], + optional_params={'deployment_url': "shouldn't be in results", + "fallback_sap_modules": [{"model": model, + "messages": [{"role": "user", "content": "Hello world!"}], + "translation": translation_config + }] + , + }, + litellm_params={}, + headers={} + ) + assert "translation" not in config["config"]["modules"][0] + translation = config["config"]["modules"][1]["translation"] + assert translation["input"]["config"]["source_language"] == "en-US" + assert translation["input"]["config"]["target_language"] == "de-DE" + assert translation["output"]["config"]["target_language"] == "fr-FR" + assert config["config"]["modules"][1]["prompt_templating"]["model"]["name"] == "gpt-5" + assert config["config"]["modules"][0]["prompt_templating"]["model"]["name"] == "gpt-4o" + assert config["config"]["modules"][0]["prompt_templating"]["model"]["params"] == {} + assert config["config"]["modules"][1]["prompt_templating"]["prompt"]["template"][0]["content"] == "Hello world!" + assert config["config"]["modules"][0]["prompt_templating"]["prompt"]["template"][0]["content"] == "Hello." + assert config["config"]["modules"][1]["translation"]["input"]["type"] == "sap_document_translation" diff --git a/tests/test_litellm/llms/sap/embed/test_sap_embed_transformation.py b/tests/test_litellm/llms/sap/embed/test_sap_embed_transformation.py new file mode 100644 index 00000000000..2d4be6f33c7 --- /dev/null +++ b/tests/test_litellm/llms/sap/embed/test_sap_embed_transformation.py @@ -0,0 +1,97 @@ +from unittest.mock import patch, PropertyMock + +import pytest + +from litellm.llms.sap.embed.transformation import GenAIHubEmbeddingConfig + +@pytest.fixture +def fake_token_creator(): + return (lambda: "Bearer FAKE_TOKEN", "https://api.ai.moke-sap.com", "fake-group") + + +@pytest.fixture +def fake_deployment_url(): + return "https://api.ai.moke-sap.com/v2/inference/deployments/mokeid" + +def test_basic_config_transform(fake_token_creator, fake_deployment_url): + expected_dict = { + 'config': { + 'modules': { + 'embeddings': { + 'model': { + 'name': 'text-embedding-3-small', + 'version': 'latest', + 'params': {} + } + } + } + }, + 'input': { + 'text': 'Hi' + } + } + with patch( + "litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url", + new_callable=PropertyMock, + return_value=fake_deployment_url, + ), patch( + "litellm.llms.sap.embed.transformation.get_token_creator", + return_value=fake_token_creator, + ): + body = GenAIHubEmbeddingConfig().transform_embedding_request( + model="text-embedding-3-small", + input="Hi", + optional_params={}, + headers={} + ) + assert body == expected_dict + +def test_model_params(fake_token_creator, fake_deployment_url): + with patch( + "litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url", + new_callable=PropertyMock, + return_value=fake_deployment_url, + ), patch( + "litellm.llms.sap.embed.transformation.get_token_creator", + return_value=fake_token_creator, + ): + body = GenAIHubEmbeddingConfig().transform_embedding_request( + model="text-embedding-3-small", + input="Hi", + optional_params={"parameters": {"truncate": "END"}}, + headers={} + ) + assert body["config"]["modules"]["embeddings"]["model"]["params"] == {"truncate": "END"} + +def test_embed_with_masking(fake_token_creator, fake_deployment_url): + masking_config = { + 'providers': + [ + { + 'type': 'sap_data_privacy_integration', + 'method': 'anonymization', + 'entities': [ + {'type': 'profile-address'}, + {'type': 'profile-phone'}, + {'type': 'profile-person'}, + {'type': 'profile-location'} + ] + } + ] + } + with patch( + "litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url", + new_callable=PropertyMock, + return_value=fake_deployment_url, + ), patch( + "litellm.llms.sap.embed.transformation.get_token_creator", + return_value=fake_token_creator, + ): + body = GenAIHubEmbeddingConfig().transform_embedding_request( + model="text-embedding-3-small", + input="Hi", + optional_params={"parameters": {"truncate": "END"}, + "masking": masking_config}, + headers={} + ) + assert body["config"]["modules"]["masking"] == masking_config diff --git a/tests/test_litellm/llms/sap/test_sap_fetch_creds.py b/tests/test_litellm/llms/sap/test_sap_fetch_creds.py new file mode 100644 index 00000000000..7815c0b88d6 --- /dev/null +++ b/tests/test_litellm/llms/sap/test_sap_fetch_creds.py @@ -0,0 +1,142 @@ +import json +import pytest +import litellm.llms.sap.credentials as sap_credentials + +mock_sap_service_key_dict = { + "serviceurls": + { + "AI_API_URL":"https://testurl.hana.ondemand.com/" + }, + "clientid":"mockclientid", + "clientsecret":"mockclientsecret", + "url":"https://test.sap.hana.ondemand.com/" +} + +mock_wrapped_sap_service_key_dict = { + "credentials": { + "serviceurls": + { + "AI_API_URL":"https://testurl.hana.ondemand.com/" + }, + "clientid":"mockclientid", + "clientsecret":"mockclientsecret", + "url":"https://test.sap.hana.ondemand.com/" + } +} + +expected_creds = {'client_id': "mockclientid", + 'client_secret': "mockclientsecret", + 'auth_url': 'https://test.sap.hana.ondemand.com/oauth/token', + 'base_url': 'https://testurl.hana.ondemand.com/v2', + 'resource_group': 'default'} + +mock_sap_vcap_service_key_dict = { + 'aicore': [{ + 'label': 'aicore', + 'name': 'aicore-instance', + 'instance_guid': '53ad5b47-a49a-4fec-9f0b-cd921c00b828', + 'credentials': { + 'serviceurls': { + 'AI_API_URL': 'vcap-api-url' + }, + 'url': 'vcap-auth-url', + 'clientid': 'vcap-clientid', + 'clientsecret': 'vcap-clientsecret' + } + }] +} +def _prep_env(monkeypatch): + for var in ("AICORE_CLIENT_ID", "AICORE_CLIENT_SECRET", "AICORE_AUTH_URL", "AICORE_RESOURCE_GROUP", + "AICORE_BASE_URL", "AICORE_CERT_URL", "AICORE_SERVICE_KEY", "VCAP_SERVICES"): + monkeypatch.delenv(var, raising=False) + monkeypatch.setenv("AICORE_HOME", 'notexist') + monkeypatch.setattr('litellm.sap_service_key', None) + +def test_sap_fetch_creds_from_env_service_key(monkeypatch): + _prep_env(monkeypatch) + monkeypatch.setenv("AICORE_SERVICE_KEY", json.dumps(mock_sap_service_key_dict)) + creds = sap_credentials.fetch_credentials() + assert creds == expected_creds + +def test_sap_fetch_creds_from_env_wrapped_service_key(monkeypatch): + _prep_env(monkeypatch) + monkeypatch.setenv("AICORE_SERVICE_KEY", json.dumps(mock_wrapped_sap_service_key_dict)) + creds = sap_credentials.fetch_credentials() + assert creds == expected_creds + +def test_sap_fetch_creds_from_arg_service_key(monkeypatch): + _prep_env(monkeypatch) + creds = sap_credentials.fetch_credentials(service_key=json.dumps(mock_sap_service_key_dict)) + assert creds == expected_creds + +def test_fetch_creds_from_env_vcap_service(monkeypatch): + _prep_env(monkeypatch) + monkeypatch.setenv("VCAP_SERVICES", json.dumps(mock_sap_vcap_service_key_dict)) + creds = sap_credentials.fetch_credentials() + assert creds['client_id'] == "vcap-clientid" + assert creds['client_secret'] == "vcap-clientsecret" + assert creds['auth_url'] == "vcap-auth-url/oauth/token" + assert creds['base_url'] == "vcap-api-url/v2" + assert creds['resource_group'] == "default" + +def test_fetch_creds_from_env(monkeypatch): + _prep_env(monkeypatch) + monkeypatch.setenv("AICORE_CLIENT_ID", "env-client-id") + monkeypatch.setenv("AICORE_CLIENT_SECRET", "env-client-secret") + monkeypatch.setenv("AICORE_AUTH_URL", "env-auth-url") + monkeypatch.setenv("AICORE_BASE_URL", "env-base-url") + monkeypatch.setenv("AICORE_RESOURCE_GROUP", "env-resource-group") + + creds = sap_credentials.fetch_credentials() + + assert creds['client_id'] == "env-client-id" + assert creds['client_secret'] == "env-client-secret" + assert creds['auth_url'] == "env-auth-url/oauth/token" + assert creds['base_url'] == "env-base-url/v2" + assert creds['resource_group'] == "env-resource-group" + +def test_creds_priority_order(monkeypatch): + _prep_env(monkeypatch) + monkeypatch.setenv("AICORE_CLIENT_ID", "env-client-id") + monkeypatch.setenv("AICORE_CLIENT_SECRET", "env-client-secret") + monkeypatch.setenv("AICORE_AUTH_URL", "env-auth-url") + monkeypatch.setenv("AICORE_BASE_URL", "env-base-url") + monkeypatch.setenv("AICORE_RESOURCE_GROUP", "env-resource-group") + creds = sap_credentials.fetch_credentials(service_key=json.dumps(mock_sap_service_key_dict)) + assert creds['client_id'] == "mockclientid" + assert creds['resource_group'] == "env-resource-group" + +def test_no_credentials_configured(monkeypatch): + _prep_env(monkeypatch) + with pytest.raises(ValueError, match="No credentials found in any source"): + sap_credentials.fetch_credentials() + + +def test_partial_credentials_missing_auth_url(monkeypatch): + _prep_env(monkeypatch) + + # Set only client_id and base_url, missing auth_url + monkeypatch.setenv("AICORE_CLIENT_ID", "test-client-id") + monkeypatch.setenv("AICORE_BASE_URL", "test-base-url") + + # fetch_credentials should succeed (it returns whatever it finds) + creds = sap_credentials.fetch_credentials() + creds.pop('resource_group') + + with pytest.raises(ValueError, match="SAP AI Core credentials not found"): + sap_credentials.validate_credentials(**creds) + +def test_credentials_without_authentication_mode(monkeypatch): + _prep_env(monkeypatch) + + # Set all required fields but no authentication mode (no client_secret, no certs) + monkeypatch.setenv("AICORE_CLIENT_ID", "test-client-id") + monkeypatch.setenv("AICORE_AUTH_URL", "test-auth-url") + monkeypatch.setenv("AICORE_BASE_URL", "test-base-url") + + creds = sap_credentials.fetch_credentials() + creds.pop('resource_group') + + # validate_credentials should raise because no authentication mode is provided + with pytest.raises(ValueError, match="SAP AI Core credentials are incomplete"): + sap_credentials.validate_credentials(**creds) diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py index ce3d2daa743..98cdf830304 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py @@ -127,6 +127,24 @@ def test_vertex_ai_includes_labels(): assert result["labels"] == {"project": "test", "team": "ai"} +def test_service_tier_forwarded_to_vertex_ai(): + """Test that service_tier in optional_params is mapped to serviceTier in request body.""" + messages = [{"role": "user", "content": "test"}] + optional_params = {"service_tier": "flex"} + litellm_params = {} + + result = _transform_request_body( + messages=messages, + model="gemini-2.5-pro", + optional_params=optional_params, + custom_llm_provider="vertex_ai", + litellm_params=litellm_params, + cached_content=None, + ) + + assert "serviceTier" in result + assert result["serviceTier"] == "flex" + def test_extra_body_cache_not_forwarded_to_vertex_ai(): """ diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py index 3102a695961..ddc404cb8c7 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py @@ -3504,6 +3504,73 @@ def test_vertex_ai_traffic_type_preserved_in_hidden_params_non_streaming(): assert result._hidden_params["provider_specific_fields"]["traffic_type"] == "PROVISIONED_THROUGHPUT" +def test_vertex_ai_service_tier_streaming(): + """Test service_tier is preserved in model_response from headers for streaming.""" + from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import ( + ModelResponseIterator, + ) + + chunk = { + "candidates": [{"content": {"parts": [{"text": "Hello"}]}}], + } + + iterator = ModelResponseIterator( + streaming_response=[], + sync_stream=True, + logging_obj=MagicMock(), + response_headers={"x-gemini-service-tier": "FLEX"}, + ) + # Undefined when usageMetadata is missing + result = iterator.chunk_parser(chunk) + + # But definitely set when usageMetadata is present + chunk_with_usage = { + "candidates": [{"content": {"parts": [{"text": "hi"}]}}], + "usageMetadata": {"promptTokenCount": 1, "candidatesTokenCount": 1, "totalTokenCount": 2} + } + result_with_usage = iterator.chunk_parser(chunk_with_usage) + assert result_with_usage.service_tier == "flex" + + +def test_vertex_ai_service_tier_non_streaming(): + """Test service_tier is preserved in model_response from headers for non-streaming.""" + from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import ( + VertexGeminiConfig, + ) + + completion_response = { + "candidates": [ + { + "content": {"parts": [{"text": "Hello"}], "role": "model"}, + "finishReason": "STOP", + } + ], + "usageMetadata": { + "promptTokenCount": 50, + "candidatesTokenCount": 100, + "totalTokenCount": 150, + }, + } + + raw_response = MagicMock() + raw_response.json.return_value = completion_response + raw_response.headers = {"x-gemini-service-tier": "FLEX"} + + result = VertexGeminiConfig().transform_response( + model="gemini-pro", + raw_response=raw_response, + model_response=ModelResponse(), + logging_obj=MagicMock(), + request_data={}, + messages=[], + optional_params={}, + litellm_params={}, + encoding=None, + ) + + assert result.service_tier == "flex" + + def test_vertex_ai_traffic_type_surfaced_in_responses_api(): """Test trafficType is surfaced as provider_specific_fields in ResponsesAPIResponse.""" from litellm.responses.litellm_completion_transformation.transformation import ( @@ -3609,6 +3676,54 @@ def test_vertex_ai_web_search_options_in_map_openai_params(): assert "web_search_options" not in optional_params, "web_search_options should be removed after transformation" +def test_vertex_ai_service_tier_in_map_openai_params(): + """Test that service_tier is correctly mapped to optional_params.""" + from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import ( + VertexGeminiConfig, + ) + + v = VertexGeminiConfig() + + # Test pass-through + optional_params = {} + non_default_params = {"service_tier": "FLEX"} + + result = v.map_openai_params( + non_default_params=non_default_params, + optional_params=optional_params, + model="gemini-3-pro-preview", + drop_params=True, + ) + + assert result["service_tier"] == "flex" + + # Test auto -> priority + optional_params_auto = {} + non_default_params_auto = {"service_tier": "auto"} + + result_auto = v.map_openai_params( + non_default_params=non_default_params_auto, + optional_params=optional_params_auto, + model="gemini-3-pro-preview", + drop_params=True, + ) + + assert result_auto["service_tier"] == "priority" + + # Test AUTO (uppercase) -> priority + optional_params_auto_upper = {} + non_default_params_auto_upper = {"service_tier": "AUTO"} + + result_auto_upper = v.map_openai_params( + non_default_params=non_default_params_auto_upper, + optional_params=optional_params_auto_upper, + model="gemini-3-pro-preview", + drop_params=True, + ) + + assert result_auto_upper["service_tier"] == "priority" + + def test_vertex_ai_usage_metadata_with_video_tokens_in_prompt(): """Test promptTokensDetails with VIDEO modality for video inputs. diff --git a/tests/test_litellm/llms/vertex_ai/test_vertex_llm_base.py b/tests/test_litellm/llms/vertex_ai/test_vertex_llm_base.py index f9fc730e1df..78caf4b9778 100644 --- a/tests/test_litellm/llms/vertex_ai/test_vertex_llm_base.py +++ b/tests/test_litellm/llms/vertex_ai/test_vertex_llm_base.py @@ -1050,6 +1050,85 @@ class TestVertexBase: mock_creds.with_scopes.assert_called_once_with(scopes) assert result == "scoped_creds" + def test_credentials_from_pluggable_implementation(self): + """Test _credentials_from_pluggable dispatches to pluggable.Credentials""" + vertex_base = VertexBase() + json_obj = { + "type": "external_account", + "credential_source": { + "executable": {"command": "/path/to/executable", "timeout_millis": 5000} + }, + } + scopes = ["https://www.googleapis.com/auth/cloud-platform"] + + mock_creds = MagicMock() + mock_creds.requires_scopes = True + mock_creds.with_scopes.return_value = "scoped_creds" + + with patch("google.auth.pluggable.Credentials") as MockCredentials: + MockCredentials.from_info.return_value = mock_creds + + result = vertex_base._credentials_from_pluggable(json_obj, scopes) + + MockCredentials.from_info.assert_called_once_with(json_obj) + mock_creds.with_scopes.assert_called_once_with(scopes) + assert result == "scoped_creds" + + def test_credentials_from_pluggable_no_scopes_needed(self): + """Test _credentials_from_pluggable when scopes are not needed""" + vertex_base = VertexBase() + json_obj = { + "type": "external_account", + "credential_source": { + "executable": {"command": "/path/to/executable"} + }, + } + scopes = ["https://www.googleapis.com/auth/cloud-platform"] + + mock_creds = MagicMock() + mock_creds.requires_scopes = False + + with patch("google.auth.pluggable.Credentials") as MockCredentials: + MockCredentials.from_info.return_value = mock_creds + + result = vertex_base._credentials_from_pluggable(json_obj, scopes) + + MockCredentials.from_info.assert_called_once_with(json_obj) + mock_creds.with_scopes.assert_not_called() + assert result == mock_creds + + def test_load_auth_dispatches_to_pluggable_for_executable(self): + """Test that load_auth routes executable credential_source to _credentials_from_pluggable""" + vertex_base = VertexBase() + json_obj = { + "type": "external_account", + "credential_source": { + "executable": {"command": "/path/to/executable", "timeout_millis": 5000} + }, + } + + mock_creds = MagicMock() + mock_creds.project_id = "test-project" + + with patch.object( + vertex_base, "_credentials_from_pluggable", return_value=mock_creds + ) as mock_pluggable, patch.object( + vertex_base, "_credentials_from_identity_pool" + ) as mock_identity_pool, patch.object( + vertex_base, "refresh_auth" + ): + creds, project_id = vertex_base.load_auth( + credentials=json.dumps(json_obj), project_id=None + ) + + mock_pluggable.assert_called_once_with( + json_obj, + scopes=["https://www.googleapis.com/auth/cloud-platform"], + ) + mock_identity_pool.assert_not_called() + assert creds == mock_creds + assert project_id == "test-project" + def test_extract_aws_params(self): """Test _extract_aws_params: extraction, empty case, and unrecognized keys.""" # Case 1: Extracts recognized aws_* keys, ignores GCP-standard fields diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py index 3acbe5465f2..ed543c7df50 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py @@ -9,7 +9,7 @@ from litellm.proxy._experimental.mcp_server import rest_endpoints from litellm.proxy._experimental.mcp_server.auth import ( user_api_key_auth_mcp as auth_mcp, ) -from litellm.proxy._types import NewMCPServerRequest, UserAPIKeyAuth +from litellm.proxy._types import NewMCPServerRequest, UpdateMCPServerRequest, UserAPIKeyAuth from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.types.mcp import MCPAuth @@ -156,7 +156,6 @@ class TestExecuteWithMcpClient: "Authorization": "STATIC token", } - @pytest.mark.asyncio async def test_m2m_credentials_forwarded_to_server_model(self, monkeypatch): """M2M OAuth credentials (client_id, client_secret) from the nested @@ -199,9 +198,7 @@ class TestExecuteWithMcpClient: }, ) - result = await rest_endpoints._execute_with_mcp_client( - payload, ok_operation - ) + result = await rest_endpoints._execute_with_mcp_client(payload, ok_operation) assert result["status"] == "ok" server = captured["server"] @@ -262,7 +259,10 @@ class TestExecuteWithMcpClient: assert result["status"] == "ok" # The incoming Authorization must be dropped — extra_headers should # contain no oauth2 headers (only static_headers, which are None here). - assert captured["extra_headers"] is None or "Authorization" not in captured["extra_headers"] + assert ( + captured["extra_headers"] is None + or "Authorization" not in captured["extra_headers"] + ) @pytest.mark.asyncio async def test_catches_exception_group(self, monkeypatch): @@ -300,9 +300,7 @@ class TestExecuteWithMcpClient: auth_type=MCPAuth.none, ) - result = await rest_endpoints._execute_with_mcp_client( - payload, ok_operation - ) + result = await rest_endpoints._execute_with_mcp_client(payload, ok_operation) assert result["status"] == "error" assert result["error"] is True @@ -365,8 +363,12 @@ class TestTestToolsList: credentials={"auth_value": "secret-key"}, ) + from litellm.proxy._types import LitellmUserRoles + result = await rest_endpoints.test_tools_list( - request, payload, user_api_key_dict=UserAPIKeyAuth() + request, + payload, + user_api_key_dict=UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN), ) assert result["message"] == "Successfully retrieved tools" @@ -419,8 +421,12 @@ class TestTestToolsList: auth_type=MCPAuth.oauth2, ) + from litellm.proxy._types import LitellmUserRoles + result = await rest_endpoints.test_tools_list( - request, payload, user_api_key_dict=UserAPIKeyAuth() + request, + payload, + user_api_key_dict=UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN), ) assert result["message"] == "Successfully retrieved tools" @@ -484,7 +490,11 @@ class TestListToolsRestAPI: captured = {"called": False} async def fake_get_tools( - server, server_auth_header, raw_headers=None, user_api_key_auth=None, extra_headers=None + server, + server_auth_header, + raw_headers=None, + user_api_key_auth=None, + extra_headers=None, ): captured["called"] = True captured["server"] = server @@ -555,27 +565,47 @@ class TestListToolsRestAPI: captured = {"called": False, "server_arg": None} - async def fake_get_tools(server, server_auth_header, raw_headers=None, user_api_key_auth=None, extra_headers=None): + async def fake_get_tools( + server, + server_auth_header, + raw_headers=None, + user_api_key_auth=None, + extra_headers=None, + ): captured["called"] = True captured["server_arg"] = server return ["tool-x"] - monkeypatch.setattr(rest_endpoints, "build_effective_auth_contexts", fake_contexts, raising=False) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_allowed_mcp_servers", - fake_get_allowed_mcp_servers, raising=False, + rest_endpoints, + "build_effective_auth_contexts", + fake_contexts, + raising=False, ) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_mcp_server_by_name", + rest_endpoints.global_mcp_server_manager, + "get_allowed_mcp_servers", + fake_get_allowed_mcp_servers, + raising=False, + ) + monkeypatch.setattr( + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_name", lambda name: stub_server if name == "my-server" else None, raising=False, ) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_mcp_server_by_id", + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_id", lambda sid: stub_server if sid == "uuid-abc-123" else None, raising=False, ) - monkeypatch.setattr(rest_endpoints, "_get_tools_for_single_server", fake_get_tools, raising=False) + monkeypatch.setattr( + rest_endpoints, + "_get_tools_for_single_server", + fake_get_tools, + raising=False, + ) request = _build_request(path="/mcp-rest/tools/list", method="GET") result = await rest_endpoints.list_tool_rest_api( @@ -609,18 +639,27 @@ class TestListToolsRestAPI: async def fake_get_allowed_mcp_servers(*args, **kwargs): return [] - monkeypatch.setattr(rest_endpoints, "build_effective_auth_contexts", fake_contexts, raising=False) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_allowed_mcp_servers", - fake_get_allowed_mcp_servers, raising=False, + rest_endpoints, + "build_effective_auth_contexts", + fake_contexts, + raising=False, ) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_mcp_server_by_name", + rest_endpoints.global_mcp_server_manager, + "get_allowed_mcp_servers", + fake_get_allowed_mcp_servers, + raising=False, + ) + monkeypatch.setattr( + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_name", lambda name: stub_server if name == "restricted-server" else None, raising=False, ) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_mcp_server_by_id", + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_id", lambda sid: stub_server if sid == "uuid-xyz-999" else None, raising=False, ) @@ -662,31 +701,54 @@ class TestListToolsRestAPI: oauth_headers = {"Authorization": "Bearer user-oauth-token"} - async def fake_get_user_oauth_extra_headers(server, user_api_key_dict, prefetched_creds=None): + async def fake_get_user_oauth_extra_headers( + server, user_api_key_dict, prefetched_creds=None + ): return oauth_headers captured = {} - async def fake_get_tools(server, server_auth_header, raw_headers=None, user_api_key_auth=None, extra_headers=None): + async def fake_get_tools( + server, + server_auth_header, + raw_headers=None, + user_api_key_auth=None, + extra_headers=None, + ): captured["server"] = server captured["auth_header"] = server_auth_header return ["oauth-tool"] - monkeypatch.setattr(rest_endpoints, "build_effective_auth_contexts", fake_contexts, raising=False) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_allowed_mcp_servers", - fake_get_allowed_mcp_servers, raising=False, + rest_endpoints, + "build_effective_auth_contexts", + fake_contexts, + raising=False, ) monkeypatch.setattr( - rest_endpoints.global_mcp_server_manager, "get_mcp_server_by_id", + rest_endpoints.global_mcp_server_manager, + "get_allowed_mcp_servers", + fake_get_allowed_mcp_servers, + raising=False, + ) + monkeypatch.setattr( + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_id", lambda sid: stub_server if sid == "oauth-server-id" else None, raising=False, ) monkeypatch.setattr( - rest_endpoints, "_get_user_oauth_extra_headers", - fake_get_user_oauth_extra_headers, raising=False, + rest_endpoints, + "_get_user_oauth_extra_headers", + fake_get_user_oauth_extra_headers, + raising=False, + ) + monkeypatch.setattr( + rest_endpoints, + "_get_tools_for_single_server", + fake_get_tools, + raising=False, ) - monkeypatch.setattr(rest_endpoints, "_get_tools_for_single_server", fake_get_tools, raising=False) request = _build_request(path="/mcp-rest/tools/list", method="GET") result = await rest_endpoints.list_tool_rest_api( @@ -1124,3 +1186,189 @@ class TestGetToolsForSingleServer: assert "tool3" in tool_names assert "tool1" not in tool_names assert "tool4" not in tool_names + + +class TestStdioCommandAllowlist: + """Tests for MCP stdio command allowlist validation.""" + + def test_allowed_command_passes_validation(self): + """npx, uvx, python, etc. should be accepted.""" + req = NewMCPServerRequest( + server_name="test", + transport="stdio", + command="npx", + args=["-y", "@modelcontextprotocol/server-filesystem"], + ) + assert req.command == "npx" + + def test_disallowed_command_raises(self): + """Arbitrary commands like bash should be rejected.""" + with pytest.raises(ValueError, match="not in the allowed commands list"): + NewMCPServerRequest( + server_name="test", + transport="stdio", + command="bash", + args=["-c", "echo pwned"], + ) + + def test_sh_command_raises(self): + """sh should be rejected.""" + with pytest.raises(ValueError, match="not in the allowed commands list"): + NewMCPServerRequest( + server_name="test", + transport="stdio", + command="sh", + args=["-c", "id > /tmp/output.txt"], + ) + + def test_absolute_path_bypass_blocked(self): + """/bin/bash should be blocked (basename is 'bash').""" + with pytest.raises(ValueError, match="not in the allowed commands list"): + NewMCPServerRequest( + server_name="test", + transport="stdio", + command="/bin/bash", + args=["-c", "echo pwned"], + ) + + def test_absolute_path_to_allowed_command_works(self): + """/usr/bin/python3 should pass (basename is 'python3').""" + req = NewMCPServerRequest( + server_name="test", + transport="stdio", + command="/usr/bin/python3", + args=["-m", "some_module"], + ) + assert req.command == "/usr/bin/python3" + + def test_http_transport_ignores_allowlist(self): + """HTTP/SSE transport should not trigger command validation.""" + req = NewMCPServerRequest( + server_name="test", + transport="sse", + url="https://example.com/mcp", + ) + assert req.transport == "sse" + + def test_uvx_command_passes(self): + req = NewMCPServerRequest( + server_name="test", + transport="stdio", + command="uvx", + args=["mcp-server-sqlite"], + ) + assert req.command == "uvx" + + def test_node_command_passes(self): + req = NewMCPServerRequest( + server_name="test", + transport="stdio", + command="node", + args=["server.js"], + ) + assert req.command == "node" + + def test_update_request_disallowed_command_raises(self): + """UpdateMCPServerRequest should also block non-allowlisted commands.""" + with pytest.raises(ValueError, match="not in the allowed commands list"): + UpdateMCPServerRequest( + server_id="some-id", + transport="stdio", + command="bash", + args=["-c", "echo pwned"], + ) + + +class TestEndpointRoleChecks: + """Tests for PROXY_ADMIN role checks on MCP test endpoints.""" + + def test_test_connection_has_auth_dependency(self): + route = _get_route("/mcp-rest/test/connection", "POST") + assert _route_has_dependency(route, user_api_key_auth) + + def test_test_tools_list_has_auth_dependency(self): + route = _get_route("/mcp-rest/test/tools/list", "POST") + assert _route_has_dependency(route, user_api_key_auth) + + @pytest.mark.asyncio + async def test_test_connection_rejects_non_admin(self): + """Non-admin users should get 403 from test_connection.""" + from litellm.proxy._types import LitellmUserRoles + + payload = NewMCPServerRequest( + server_name="test", + url="https://example.com/mcp", + auth_type=MCPAuth.none, + ) + user_key = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="non_admin", + api_key="sk-test", + ) + request = _build_request() + + with pytest.raises(HTTPException) as exc_info: + await rest_endpoints.test_connection( + request=request, + new_mcp_server_request=payload, + user_api_key_dict=user_key, + ) + assert exc_info.value.status_code == 403 + + @pytest.mark.asyncio + async def test_test_tools_list_rejects_non_admin(self): + """Non-admin users should get 403 from test_tools_list.""" + from litellm.proxy._types import LitellmUserRoles + + payload = NewMCPServerRequest( + server_name="test", + url="https://example.com/mcp", + auth_type=MCPAuth.none, + ) + user_key = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="non_admin", + api_key="sk-test", + ) + request = _build_request() + + with pytest.raises(HTTPException) as exc_info: + await rest_endpoints.test_tools_list( + request=request, + new_mcp_server_request=payload, + user_api_key_dict=user_key, + ) + assert exc_info.value.status_code == 403 + + @pytest.mark.asyncio + async def test_test_connection_allows_admin(self, monkeypatch): + """PROXY_ADMIN should pass the role check.""" + from litellm.proxy._types import LitellmUserRoles + + async def fake_execute(*args, **kwargs): + return {"status": "ok"} + + monkeypatch.setattr( + rest_endpoints, + "_execute_with_mcp_client", + fake_execute, + ) + + payload = NewMCPServerRequest( + server_name="test", + url="https://example.com/mcp", + auth_type=MCPAuth.none, + ) + user_key = UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, + user_id="admin", + api_key="sk-admin", + ) + request = _build_request() + + result = await rest_endpoints.test_connection( + request=request, + new_mcp_server_request=payload, + user_api_key_dict=user_key, + ) + assert result["status"] == "ok" diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index 6e1b245b3de..14912b67ab8 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -713,6 +713,51 @@ class TestJWTOAuth2Coexistence: mock_jwt_auth.assert_not_called() assert result.user_id == "machine-client-1" + @pytest.mark.asyncio + async def test_oauth2_path_requires_premium_user(self): + """ + OAuth2 token validation should fail when enterprise premium is disabled. + """ + opaque_token = "some-opaque-m2m-oauth2-token" + general_settings = { + "enable_oauth2_auth": True, + "enable_jwt_auth": True, + } + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {opaque_token}"} + mock_request.query_params = {} + + with patch( + "litellm.proxy.proxy_server.general_settings", general_settings + ), patch("litellm.proxy.proxy_server.premium_user", False), patch( + "litellm.proxy.proxy_server.master_key", "sk-master" + ), patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + ) as mock_oauth2: + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth(), + ) + + with pytest.raises(ProxyException) as exc_info: + await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {opaque_token}", + ) + + assert exc_info.value.type == ProxyErrorTypes.auth_error + assert ( + "Oauth2 token validation is only available for premium users" + in exc_info.value.message + ) + mock_oauth2.assert_not_called() + @pytest.mark.asyncio async def test_both_enabled_jwt_token_skips_oauth2(self): """ @@ -974,6 +1019,248 @@ class TestJWTOAuth2Coexistence: mock_jwt_auth.assert_not_called() assert result.user_id == "machine-client-aud-list" + @pytest.mark.asyncio + async def test_routing_override_routes_jwt_to_oauth2_when_oauth2_globally_disabled( + self, + ): + """ + If enable_oauth2_auth is false, JWT tokens matching routing_overrides + should still route to OAuth2 introspection. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJtYWNoaW5lLWlzc3Vlci5leGFtcGxlLmNvbSIsImNsaWVudF9pZCI6Ik1JRF9MSVRFTExNIn0." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_oauth2_response = UserAPIKeyAuth( + api_key=jwt_token, + user_id="machine-client-override-oauth2-off", + ) + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with patch( + "litellm.proxy.proxy_server.general_settings", general_settings + ), patch("litellm.proxy.proxy_server.premium_user", True), patch( + "litellm.proxy.proxy_server.master_key", "sk-master" + ), patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + return_value=mock_oauth2_response, + ) as mock_oauth2, patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + ) as mock_jwt_auth: + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="machine-issuer.example.com", + client_id="MID_LITELLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_called_once_with(token=jwt_token) + mock_jwt_auth.assert_not_called() + assert result.user_id == "machine-client-override-oauth2-off" + + @pytest.mark.asyncio + async def test_opaque_token_does_not_use_oauth2_when_oauth2_globally_disabled( + self, + ): + """ + With enable_oauth2_auth=false, opaque tokens must not be sent to OAuth2. + """ + opaque_token = "sk-ui-session-token" + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {opaque_token}"} + mock_request.query_params = {} + + with patch( + "litellm.proxy.proxy_server.general_settings", general_settings + ), patch("litellm.proxy.proxy_server.premium_user", True), patch( + "litellm.proxy.proxy_server.master_key", "sk-master" + ), patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + ) as mock_oauth2: + with pytest.raises(ProxyException) as exc_info: + await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {opaque_token}", + ) + + assert exc_info.value.type in ( + ProxyErrorTypes.auth_error, + ProxyErrorTypes.no_db_connection, + ) + mock_oauth2.assert_not_called() + + @pytest.mark.asyncio + async def test_routing_override_on_info_route_uses_oauth2_when_oauth2_globally_disabled( + self, + ): + """ + With enable_oauth2_auth=false, a JWT matching routing_overrides should + still route to OAuth2 on info routes. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJtYWNoaW5lLWlzc3Vlci5leGFtcGxlLmNvbSIsImNsaWVudF9pZCI6Ik1JRF9MSVRFTExNIn0." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_oauth2_response = UserAPIKeyAuth( + api_key=jwt_token, + user_id="machine-client-info-override-oauth2-off", + ) + + mock_request = MagicMock() + mock_request.url.path = "/team/list" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with patch( + "litellm.proxy.proxy_server.general_settings", general_settings + ), patch("litellm.proxy.proxy_server.premium_user", True), patch( + "litellm.proxy.proxy_server.master_key", "sk-master" + ), patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + return_value=mock_oauth2_response, + ) as mock_oauth2, patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + ) as mock_jwt_auth: + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="machine-issuer.example.com", + client_id="MID_LITELLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_called_once_with(token=jwt_token) + mock_jwt_auth.assert_not_called() + assert result.user_id == "machine-client-info-override-oauth2-off" + + @pytest.mark.asyncio + async def test_routing_override_on_management_route_does_not_use_oauth2(self): + """ + JWT routing_overrides should not force OAuth2 on management routes. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJtYWNoaW5lLWlzc3Vlci5leGFtcGxlLmNvbSIsImNsaWVudF9pZCI6Ik1JRF9MSVRFTExNIn0." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_jwt_result = { + "is_proxy_admin": True, + "team_object": None, + "user_object": None, + "end_user_object": None, + "org_object": None, + "token": jwt_token, + "team_id": None, + "user_id": "jwt-admin-user", + "end_user_id": None, + "org_id": None, + "team_membership": None, + "jwt_claims": { + "iss": "machine-issuer.example.com", + "client_id": "MID_LITELLM", + }, + } + + mock_request = MagicMock() + mock_request.url.path = "/key/generate" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with patch( + "litellm.proxy.proxy_server.general_settings", general_settings + ), patch("litellm.proxy.proxy_server.premium_user", True), patch( + "litellm.proxy.proxy_server.master_key", "sk-master" + ), patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + ) as mock_oauth2, patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + return_value=mock_jwt_result, + ) as mock_jwt_auth: + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="machine-issuer.example.com", + client_id="MID_LITELLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_not_called() + mock_jwt_auth.assert_called_once() + assert result.user_id == "jwt-admin-user" + @pytest.mark.asyncio async def test_only_oauth2_enabled_handles_all_tokens(self): """ diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py index 72092a97f5b..096e0b2bc41 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py @@ -8579,3 +8579,170 @@ def test_enforce_upperbound_no_config_is_noop(): assert data.tpm_limit == 999999 finally: litellm.upperbound_key_generate_params = original + + +class TestAllowedRoutesCallerPermission: + """ + Non-admins must not be able to set `allowed_routes` on a key. The field + bypasses the role-based route gate in + RouteChecks.non_proxy_admin_allowed_routes_check, so allowing a non-admin + to populate it grants them arbitrary endpoint access. + """ + + @pytest.mark.asyncio + async def test_non_admin_generate_key_with_allowed_routes_rejected(self): + data = GenerateKeyRequest( + key_alias="escalate", + allowed_routes=["/*"], + ) + user_api_key_dict = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + mock_prisma_client = AsyncMock() + + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch( + "litellm.proxy.proxy_server.user_api_key_cache", MagicMock() + ), patch("litellm.proxy.proxy_server.user_custom_key_generate", None), patch( + "litellm.proxy.management_endpoints.key_management_endpoints._common_key_generation_helper", + new_callable=AsyncMock, + return_value=MagicMock(), + ): + with pytest.raises(ProxyException) as exc_info: + await generate_key_fn( + data=data, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=None, + ) + assert str(exc_info.value.code) == "403" + assert "allowed_routes" in str(exc_info.value.message) + + @pytest.mark.asyncio + async def test_admin_generate_key_with_allowed_routes_allowed(self): + data = GenerateKeyRequest( + key_alias="admin-key", + allowed_routes=["/chat/completions"], + user_id="admin-user", + ) + user_api_key_dict = UserAPIKeyAuth( + user_id="admin-user", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + mock_prisma_client = AsyncMock() + stub_response = MagicMock() + + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch( + "litellm.proxy.proxy_server.user_api_key_cache", MagicMock() + ), patch("litellm.proxy.proxy_server.user_custom_key_generate", None), patch( + "litellm.proxy.management_endpoints.key_management_endpoints._common_key_generation_helper", + new_callable=AsyncMock, + return_value=stub_response, + ): + result = await generate_key_fn( + data=data, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=None, + ) + assert result is stub_response + + @pytest.mark.asyncio + async def test_non_admin_generate_key_default_empty_allowed_routes_ok(self): + """ + Regression guard: GenerateKeyRequest.allowed_routes defaults to [], so + the helper must treat empty-list as "not set" or every non-admin key + creation breaks. + """ + data = GenerateKeyRequest(key_alias="plain-key") + user_api_key_dict = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + mock_prisma_client = AsyncMock() + stub_response = MagicMock() + + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch( + "litellm.proxy.proxy_server.user_api_key_cache", MagicMock() + ), patch("litellm.proxy.proxy_server.user_custom_key_generate", None), patch( + "litellm.proxy.management_endpoints.key_management_endpoints._common_key_generation_helper", + new_callable=AsyncMock, + return_value=stub_response, + ): + result = await generate_key_fn( + data=data, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=None, + ) + assert result is stub_response + + @pytest.mark.asyncio + async def test_non_admin_update_key_with_allowed_routes_rejected(self): + from litellm.proxy.management_endpoints.key_management_endpoints import ( + update_key_fn, + ) + + data = UpdateKeyRequest(key="sk-test", allowed_routes=["/*"]) + user_api_key_dict = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + mock_prisma_client = AsyncMock() + + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), patch( + "litellm.proxy.proxy_server.user_api_key_cache", MagicMock() + ), patch("litellm.proxy.proxy_server.user_custom_key_update", None), patch( + "litellm.proxy.proxy_server.llm_router", None + ), patch("litellm.proxy.proxy_server.premium_user", True), patch( + "litellm.proxy.proxy_server.proxy_logging_obj", MagicMock() + ), patch( + "litellm.proxy.management_endpoints.key_management_endpoints._get_and_validate_existing_key", + new_callable=AsyncMock, + return_value=MagicMock(), + ): + with pytest.raises(ProxyException) as exc_info: + await update_key_fn( + request=MagicMock(), + data=data, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=None, + ) + assert str(exc_info.value.code) == "403" + assert "allowed_routes" in str(exc_info.value.message) + + +def test_jinja_prompt_manager_is_sandboxed(): + """ + PromptManager renders user-supplied templates via /prompts/test, so its + jinja env must reject access to unsafe Python attributes like + ``__class__`` and ``__mro__``. + """ + from jinja2.exceptions import SecurityError + + from litellm.integrations.dotprompt.prompt_manager import PromptManager + + pm = PromptManager() + template = pm.jinja_env.from_string("{{ ''.__class__.__mro__ }}") + with pytest.raises(SecurityError): + template.render() + + +def test_validate_public_image_url_rejects_local_paths(): + from litellm.proxy.ui_crud_endpoints.proxy_setting_endpoints import ( + _validate_public_image_url, + ) + + for bad in ("/etc/passwd", "file:///etc/passwd", "../../etc/passwd"): + with pytest.raises(HTTPException) as exc_info: + _validate_public_image_url(bad, "logo_url") + assert exc_info.value.status_code == 400 + + +def test_validate_public_image_url_accepts_http_and_noop_empty(): + from litellm.proxy.ui_crud_endpoints.proxy_setting_endpoints import ( + _validate_public_image_url, + ) + + _validate_public_image_url("https://example.com/logo.png", "logo_url") + _validate_public_image_url("http://cdn.internal/logo.svg", "logo_url") + _validate_public_image_url(None, "logo_url") + _validate_public_image_url("", "logo_url") + _validate_public_image_url(" ", "logo_url") diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_default_params.py b/tests/test_litellm/proxy/management_endpoints/test_team_default_params.py index 7fc7cb8aae2..709ce9e6f71 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_default_params.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_default_params.py @@ -8,6 +8,7 @@ import sys from unittest.mock import AsyncMock, MagicMock, patch import pytest +from fastapi import HTTPException sys.path.insert( 0, os.path.abspath("../../../") @@ -485,3 +486,327 @@ class TestSafeDbOverrides: from litellm.constants import LITELLM_SETTINGS_SAFE_DB_OVERRIDES assert "default_internal_user_params" in LITELLM_SETTINGS_SAFE_DB_OVERRIDES + + +# --------------------------------------------------------------------------- +# POST /team/permissions/bulk_update +# --------------------------------------------------------------------------- + + +class TestBulkUpdateTeamMemberPermissions: + """Tests for the bulk_update_team_member_permissions endpoint.""" + + def _make_team(self, team_id: str, permissions: list): + """Create a mock team object.""" + team = MagicMock() + team.team_id = team_id + team.team_member_permissions = permissions + return team + + def _admin_key_dict(self): + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + return UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN.value, + api_key="sk-1234", + ) + + def _non_admin_key_dict(self): + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + + return UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER.value, + api_key="sk-user", + ) + + # --- apply_to_all_teams tests --- + + @pytest.mark.asyncio + async def test_all_teams_appends_preserving_existing(self, monkeypatch): + """apply_to_all_teams: permissions are merged, not overwritten.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + team_a = self._make_team("team-a", ["/key/generate"]) + team_b = self._make_team("team-b", ["/key/delete", "/key/update"]) + + mock_batcher = MagicMock() + mock_batcher.commit = AsyncMock(return_value=None) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(return_value=[team_a, team_b]) + mock_prisma.db.batch_ = MagicMock(return_value=mock_batcher) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], apply_to_all_teams=True + ) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 2 + calls = mock_batcher.litellm_teamtable.update.call_args_list + assert len(calls) == 2 + + team_a_call = [c for c in calls if c.kwargs["where"]["team_id"] == "team-a"][0] + assert "/key/generate" in team_a_call.kwargs["data"]["team_member_permissions"] + assert "/team/daily/activity" in team_a_call.kwargs["data"]["team_member_permissions"] + + team_b_call = [c for c in calls if c.kwargs["where"]["team_id"] == "team-b"][0] + assert "/key/delete" in team_b_call.kwargs["data"]["team_member_permissions"] + assert "/key/update" in team_b_call.kwargs["data"]["team_member_permissions"] + + @pytest.mark.asyncio + async def test_all_teams_skips_teams_that_already_have_permission(self, monkeypatch): + """apply_to_all_teams: teams that already have the permission are skipped.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + team_has = self._make_team("team-has", ["/team/daily/activity", "/key/update"]) + team_missing = self._make_team("team-missing", ["/key/generate"]) + + mock_batcher = MagicMock() + mock_batcher.commit = AsyncMock(return_value=None) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(return_value=[team_has, team_missing]) + mock_prisma.db.batch_ = MagicMock(return_value=mock_batcher) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], apply_to_all_teams=True + ) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 1 + calls = mock_batcher.litellm_teamtable.update.call_args_list + assert len(calls) == 1 + assert calls[0].kwargs["where"]["team_id"] == "team-missing" + + @pytest.mark.asyncio + async def test_all_teams_pagination(self, monkeypatch): + """apply_to_all_teams: cursor-based pagination processes multiple pages.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + page1 = [self._make_team(f"team-{i}", []) for i in range(500)] + page2 = [self._make_team(f"team-{i}", []) for i in range(500, 502)] + + mock_batcher = MagicMock() + mock_batcher.commit = AsyncMock(return_value=None) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(side_effect=[page1, page2]) + mock_prisma.db.batch_ = MagicMock(return_value=mock_batcher) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], apply_to_all_teams=True + ) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 502 + find_calls = mock_prisma.db.litellm_teamtable.find_many.call_args_list + assert len(find_calls) == 2 + assert find_calls[1].kwargs["cursor"] == {"team_id": "team-499"} + assert mock_batcher.commit.call_count == 2 + + # --- team_ids tests --- + + @pytest.mark.asyncio + async def test_team_ids_updates_only_specified_teams(self, monkeypatch): + """team_ids: only the specified teams are fetched and updated.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + team_a = self._make_team("team-a", ["/key/generate"]) + team_b = self._make_team("team-b", ["/key/delete"]) + + mock_batcher = MagicMock() + mock_batcher.commit = AsyncMock(return_value=None) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(return_value=[team_a, team_b]) + mock_prisma.db.batch_ = MagicMock(return_value=mock_batcher) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], team_ids=["team-a", "team-b"] + ) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 2 + + # Verify find_many was called with the team_ids filter + find_call = mock_prisma.db.litellm_teamtable.find_many.call_args + assert find_call.kwargs["where"] == {"team_id": {"in": ["team-a", "team-b"]}} + + @pytest.mark.asyncio + async def test_team_ids_skips_teams_that_already_have_permission(self, monkeypatch): + """team_ids: teams that already have the permission are skipped.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + team_has = self._make_team("team-has", ["/team/daily/activity"]) + team_missing = self._make_team("team-missing", []) + + mock_batcher = MagicMock() + mock_batcher.commit = AsyncMock(return_value=None) + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(return_value=[team_has, team_missing]) + mock_prisma.db.batch_ = MagicMock(return_value=mock_batcher) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], team_ids=["team-has", "team-missing"] + ) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 1 + calls = mock_batcher.litellm_teamtable.update.call_args_list + assert calls[0].kwargs["where"]["team_id"] == "team-missing" + + @pytest.mark.asyncio + async def test_team_ids_returns_404_for_missing_teams(self, monkeypatch): + """If any provided team_ids don't exist, return 404.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + team_a = self._make_team("team-a", ["/key/generate"]) + + mock_prisma = MagicMock() + # Only team-a exists, team-b does not + mock_prisma.db.litellm_teamtable.find_many = AsyncMock(return_value=[team_a]) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], team_ids=["team-a", "team-b"] + ) + + with pytest.raises(HTTPException) as exc_info: + await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert exc_info.value.status_code == 404 + assert "team-b" in str(exc_info.value.detail) + + # --- validation tests --- + + @pytest.mark.asyncio + async def test_rejects_when_no_team_ids_and_no_apply_all(self, monkeypatch): + """Must provide team_ids or set apply_to_all_teams=True.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + mock_prisma = MagicMock() + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest(permissions=["/team/daily/activity"]) + + with pytest.raises(HTTPException) as exc_info: + await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert exc_info.value.status_code == 400 + + @pytest.mark.asyncio + async def test_rejects_when_both_team_ids_and_apply_all(self, monkeypatch): + """Cannot set both team_ids and apply_to_all_teams.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + mock_prisma = MagicMock() + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], + team_ids=["team-a"], + apply_to_all_teams=True, + ) + + with pytest.raises(HTTPException) as exc_info: + await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert exc_info.value.status_code == 400 + + @pytest.mark.asyncio + async def test_empty_permissions_list_is_noop(self, monkeypatch): + """Passing an empty permissions list returns immediately with 0 updated.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + mock_prisma = MagicMock() + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest(permissions=[]) + result = await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._admin_key_dict()) + + assert result["teams_updated"] == 0 + mock_prisma.db.litellm_teamtable.find_many.assert_not_called() + + @pytest.mark.asyncio + async def test_non_admin_gets_403(self, monkeypatch): + """Non-admin users are rejected with 403.""" + from litellm.proxy.management_endpoints.team_endpoints import ( + bulk_update_team_member_permissions, + ) + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + mock_prisma = MagicMock() + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + data = BulkUpdateTeamMemberPermissionsRequest( + permissions=["/team/daily/activity"], apply_to_all_teams=True + ) + + with pytest.raises(HTTPException) as exc_info: + await bulk_update_team_member_permissions(data=data, user_api_key_dict=self._non_admin_key_dict()) + + assert exc_info.value.status_code == 403 + + def test_invalid_permission_rejected_by_pydantic(self): + """Invalid permission strings are rejected at the type level by Pydantic.""" + from pydantic import ValidationError + + from litellm.types.proxy.management_endpoints.team_endpoints import ( + BulkUpdateTeamMemberPermissionsRequest, + ) + + with pytest.raises(ValidationError): + BulkUpdateTeamMemberPermissionsRequest(permissions=["/not/a/real/permission"]) diff --git a/tests/test_litellm/proxy/prompts/test_prompt_endpoints_crud.py b/tests/test_litellm/proxy/prompts/test_prompt_endpoints_crud.py index 2c5bc1bf87d..0c09be99aeb 100644 --- a/tests/test_litellm/proxy/prompts/test_prompt_endpoints_crud.py +++ b/tests/test_litellm/proxy/prompts/test_prompt_endpoints_crud.py @@ -148,7 +148,10 @@ async def test_get_prompt_info_by_base_id(): ) # Mock In-Memory Registry + # Patch prisma_client to None to avoid leaking state from other tests with patch( + "litellm.proxy.proxy_server.prisma_client", None + ), patch( "litellm.proxy.prompts.prompt_registry.IN_MEMORY_PROMPT_REGISTRY" ) as mock_registry: # Setup mocks behavior diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_query_optimization.py b/tests/test_litellm/proxy/spend_tracking/test_spend_query_optimization.py index f65c958b3db..fbac71e6372 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_spend_query_optimization.py +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_query_optimization.py @@ -60,25 +60,165 @@ async def test_spend_query_uses_timestamp_filtering(): params = call_args[1:] # 1) SQL should NOT cast the startTime column to DATE (prevents index usage) - assert "::date" not in sql.lower(), \ - "SQL should not use '::date' casting which prevents index usage" - assert "date(" not in sql.lower(), \ - "SQL should not use DATE() function which prevents index usage" + assert ( + "::date" not in sql.lower() + ), "SQL should not use '::date' casting which prevents index usage" + assert ( + "date(" not in sql.lower() + ), "SQL should not use DATE() function which prevents index usage" # 2) SQL should use timestamp-range filtering pattern for index optimization - assert '"startTime" >=' in sql or '"startTime">=' in sql, \ - "SQL should use >= operator for lower bound" - assert '"startTime" <' in sql or '"startTime"<' in sql, \ - "SQL should use < operator for upper bound" - assert "interval '1 day'" in sql.lower(), \ - "SQL should use INTERVAL for date arithmetic" + assert ( + '"startTime" >=' in sql or '"startTime">=' in sql + ), "SQL should use >= operator for lower bound" + assert ( + '"startTime" <' in sql or '"startTime"<' in sql + ), "SQL should use < operator for upper bound" + assert ( + "interval '1 day'" in sql.lower() + ), "SQL should use INTERVAL for date arithmetic" # 3) Parameters should be datetime objects (not date objects) - assert isinstance(params[0], datetime.datetime), \ - "First parameter (start_date) should be datetime object" - assert isinstance(params[1], datetime.datetime), \ - "Second parameter (end_date) should be datetime object" - assert params[0].tzinfo is not None, \ - "start_date should be timezone-aware" - assert params[1].tzinfo is not None, \ - "end_date should be timezone-aware" + assert isinstance( + params[0], datetime.datetime + ), "First parameter (start_date) should be datetime object" + assert isinstance( + params[1], datetime.datetime + ), "Second parameter (end_date) should be datetime object" + assert params[0].tzinfo is not None, "start_date should be timezone-aware" + assert params[1].tzinfo is not None, "end_date should be timezone-aware" + + +@pytest.mark.asyncio +async def test_global_activity_wraps_params_in_at_time_zone_utc(monkeypatch): + """ + /global/activity must emit `AT TIME ZONE 'UTC'` around its date params + so the date window and `date_trunc` bucketing do not depend on the DB + session timezone. Regression guard for Issue 1. + """ + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.spend_tracking.spend_management_endpoints import ( + get_global_activity, + ) + + mock_prisma = MagicMock() + mock_prisma.db = MagicMock() + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + auth = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin") + + await get_global_activity( + start_date="2026-02-16", + end_date="2026-02-16", + user_api_key_dict=auth, + ) + + assert mock_prisma.db.query_raw.called, "query_raw should have been called" + call_args = mock_prisma.db.query_raw.call_args[0] + sql = call_args[0] + params = call_args[1:] + + # 1) SQL must wrap both bounds in `AT TIME ZONE 'UTC'`. + assert sql.count("AT TIME ZONE 'UTC'") >= 2, ( + "Both date bounds must be wrapped with `AT TIME ZONE 'UTC'` so that " + "comparison against the plain-timestamp column is session-TZ-independent. " + f"SQL was:\n{sql}" + ) + + # 2) Params must still be tz-aware UTC datetimes (preserves existing contract). + assert isinstance(params[0], datetime.datetime) + assert isinstance(params[1], datetime.datetime) + assert params[0].tzinfo is not None and params[0].utcoffset() == datetime.timedelta( + 0 + ) + assert params[1].tzinfo is not None and params[1].utcoffset() == datetime.timedelta( + 0 + ) + + +@pytest.mark.asyncio +async def test_global_activity_internal_user_wraps_params_in_at_time_zone_utc( + monkeypatch, +): + """ + The internal-user branch of /global/activity goes through a different + helper (`get_global_activity_internal_user`) and has its own SQL string. + Both branches must carry the fix. Regression guard for Issue 1. + """ + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.spend_tracking.spend_management_endpoints import ( + get_global_activity, + ) + + mock_prisma = MagicMock() + mock_prisma.db = MagicMock() + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + auth = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, user_id="internal_user_1" + ) + + await get_global_activity( + start_date="2026-02-16", + end_date="2026-02-16", + user_api_key_dict=auth, + ) + + assert mock_prisma.db.query_raw.called + sql = mock_prisma.db.query_raw.call_args[0][0] + assert sql.count("AT TIME ZONE 'UTC'") >= 2, ( + "Internal-user branch must also wrap date bounds with " + f"`AT TIME ZONE 'UTC'`. SQL was:\n{sql}" + ) + + +@pytest.mark.asyncio +async def test_spend_logs_ui_wraps_params_in_at_time_zone_utc(monkeypatch): + """ + /spend/logs/ui builds its WHERE clause dynamically. The date-range + conditions must wrap the param side with `AT TIME ZONE 'UTC'` so the + log filter window doesn't drift with the DB session TZ. Regression + guard for GH #22529. + """ + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.spend_tracking.spend_management_endpoints import ( + ui_view_spend_logs, + ) + + mock_prisma = MagicMock() + mock_prisma.db = MagicMock() + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + mock_prisma.db.litellm_spendlogs = MagicMock() + mock_prisma.db.litellm_spendlogs.count = AsyncMock(return_value=0) + + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + + auth = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin") + + mock_request = MagicMock() + mock_request.url.path = "/spend/logs/ui" + + await ui_view_spend_logs( + request=mock_request, + api_key=None, + user_id=None, + request_id=None, + start_date="2026-02-16 00:00:00", + end_date="2026-02-16 23:59:59", + page=1, + page_size=50, + sort_by="startTime", + sort_order="desc", + user_api_key_dict=auth, + ) + + assert mock_prisma.db.query_raw.called, "query_raw should have been called" + sql = mock_prisma.db.query_raw.call_args[0][0] + assert sql.count("AT TIME ZONE 'UTC'") >= 2, ( + "/spend/logs/ui must wrap both `startTime` bounds with " + f"`AT TIME ZONE 'UTC'`. SQL was:\n{sql}" + ) diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index 04af5cd0086..cf7e71b14d4 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -13,14 +13,18 @@ from litellm.proxy._types import TeamCallbackMetadata, UserAPIKeyAuth from litellm.proxy.litellm_pre_call_utils import ( KeyAndTeamLoggingSettings, LiteLLMProxyRequestSetup, + _apply_credential_overrides_from_model_config, + _extract_credential_from_entry, _get_dynamic_logging_metadata, _get_enforced_params, _get_metadata_variable_name, + _resolve_credential_from_model_config, _update_model_if_key_alias_exists, add_guardrails_from_policy_engine, add_litellm_data_to_request, check_if_token_is_service_account, ) +from litellm.types.utils import CredentialItem sys.path.insert( 0, os.path.abspath("../../..") @@ -1912,3 +1916,542 @@ async def test_bearer_token_not_in_debug_logs(): f"Bearer token leaked in debug logs. " f"Found token in log output:\n{log_output[:500]}" ) + + +# ============================================================================ +# Tests for credential overrides from model_config (team/project metadata) +# ============================================================================ + + +@pytest.fixture() +def setup_test_credentials(): + """Populate litellm.credential_list with test credentials and enable feature flag, clean up after.""" + original = litellm.credential_list[:] + original_flag = litellm.enable_model_config_credential_overrides + litellm.enable_model_config_credential_overrides = True + litellm.credential_list.extend( + [ + CredentialItem( + credential_name="hotel-azure-eastus", + credential_info={}, + credential_values={ + "api_base": "https://hotel-eastus.openai.azure.com/", + "api_key": "key-hotel-eastus", + }, + ), + CredentialItem( + credential_name="hotel-azure-westus", + credential_info={}, + credential_values={ + "api_base": "https://hotel-westus.openai.azure.com/", + "api_key": "key-hotel-westus", + }, + ), + CredentialItem( + credential_name="hotel-rec-azure", + credential_info={}, + credential_values={ + "api_base": "https://hotel-rec-app.openai.azure.com/", + "api_key": "key-hotel-rec", + }, + ), + CredentialItem( + credential_name="hotel-rec-vision", + credential_info={}, + credential_values={ + "api_base": "https://hotel-rec-vision.openai.azure.com/", + "api_key": "key-hotel-rec-vision", + "api_version": "2024-06-01", + }, + ), + CredentialItem( + credential_name="flight-azure-centralus", + credential_info={}, + credential_values={ + "api_base": "https://flight-centralus.openai.azure.com/", + "api_key": "key-flight-centralus", + }, + ), + ] + ) + yield + litellm.credential_list[:] = original + litellm.enable_model_config_credential_overrides = original_flag + + +# --- Unit tests for _extract_credential_from_entry --- + + +def test_extract_credential_from_entry_azure(): + entry = {"azure": {"litellm_credentials": "my-cred"}} + assert _extract_credential_from_entry(entry) == "my-cred" + + +def test_extract_credential_from_entry_no_credential(): + entry = {"azure": {"some_other_key": "value"}} + assert _extract_credential_from_entry(entry) is None + + +def test_extract_credential_from_entry_empty(): + assert _extract_credential_from_entry({}) is None + + +def test_extract_credential_from_entry_non_dict_value(): + entry = {"azure": "not-a-dict"} + assert _extract_credential_from_entry(entry) is None + + +def test_extract_credential_from_entry_non_dict_entry(): + """Non-dict entry (e.g. string) should return None, not crash.""" + assert _extract_credential_from_entry("my-cred-name") is None + assert _extract_credential_from_entry(["a", "list"]) is None + assert _extract_credential_from_entry(42) is None + + +# --- Unit tests for _resolve_credential_from_model_config --- + + +def test_resolve_project_model_specific_wins(): + project_config = { + "gpt-4": {"azure": {"litellm_credentials": "proj-gpt4"}}, + "defaultconfig": {"azure": {"litellm_credentials": "proj-default"}}, + } + team_config = { + "gpt-4": {"azure": {"litellm_credentials": "team-gpt4"}}, + "defaultconfig": {"azure": {"litellm_credentials": "team-default"}}, + } + result = _resolve_credential_from_model_config( + "gpt-4", project_config, team_config + ) + assert result == "proj-gpt4" + + +def test_resolve_project_default_wins_over_team(): + project_config = { + "defaultconfig": {"azure": {"litellm_credentials": "proj-default"}}, + } + team_config = { + "gpt-4": {"azure": {"litellm_credentials": "team-gpt4"}}, + "defaultconfig": {"azure": {"litellm_credentials": "team-default"}}, + } + result = _resolve_credential_from_model_config( + "gpt-4", project_config, team_config + ) + assert result == "proj-default" + + +def test_resolve_team_model_specific_wins_over_team_default(): + team_config = { + "gpt-4": {"azure": {"litellm_credentials": "team-gpt4"}}, + "defaultconfig": {"azure": {"litellm_credentials": "team-default"}}, + } + result = _resolve_credential_from_model_config("gpt-4", None, team_config) + assert result == "team-gpt4" + + +def test_resolve_team_default_used_as_fallback(): + team_config = { + "defaultconfig": {"azure": {"litellm_credentials": "team-default"}}, + } + result = _resolve_credential_from_model_config("gpt-3.5", None, team_config) + assert result == "team-default" + + +def test_resolve_no_match_returns_none(): + result = _resolve_credential_from_model_config("gpt-4", None, None) + assert result is None + + +def test_resolve_empty_configs_returns_none(): + result = _resolve_credential_from_model_config("gpt-4", {}, {}) + assert result is None + + +def test_resolve_model_not_in_any_config(): + project_config = {"gpt-4": {"azure": {"litellm_credentials": "x"}}} + result = _resolve_credential_from_model_config("gpt-3.5", project_config, None) + assert result is None + + +# --- Integration tests for _apply_credential_overrides_from_model_config --- + + +def test_apply_overrides_project_model_specific(setup_test_credentials): + """Scenario 2: Hotel Rec App -> gpt-4-vision -> project model-specific.""" + data = {"model": "gpt-4-vision"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + }, + "gpt-4": {"azure": {"litellm_credentials": "hotel-azure-westus"}}, + } + }, + project_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-rec-azure"} + }, + "gpt-4-vision": { + "azure": {"litellm_credentials": "hotel-rec-vision"} + }, + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://hotel-rec-vision.openai.azure.com/" + assert data["api_key"] == "key-hotel-rec-vision" + assert data["api_version"] == "2024-06-01" + + +def test_apply_overrides_project_default(setup_test_credentials): + """Scenario 1: Hotel Rec App -> gpt-4 -> project default.""" + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + }, + "gpt-4": {"azure": {"litellm_credentials": "hotel-azure-westus"}}, + } + }, + project_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-rec-azure"} + }, + "gpt-4-vision": { + "azure": {"litellm_credentials": "hotel-rec-vision"} + }, + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://hotel-rec-app.openai.azure.com/" + assert data["api_key"] == "key-hotel-rec" + + +def test_apply_overrides_team_model_specific(setup_test_credentials): + """Scenario 4: Hotel Review App -> gpt-4 -> team model-specific.""" + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + }, + "gpt-4": {"azure": {"litellm_credentials": "hotel-azure-westus"}}, + } + }, + project_metadata={}, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://hotel-westus.openai.azure.com/" + assert data["api_key"] == "key-hotel-westus" + + +def test_apply_overrides_team_default(setup_test_credentials): + """Scenario 3: Hotel Review App -> gpt-3.5 -> team default.""" + data = {"model": "gpt-3.5"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + }, + "gpt-4": {"azure": {"litellm_credentials": "hotel-azure-westus"}}, + } + }, + project_metadata={}, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://hotel-eastus.openai.azure.com/" + assert data["api_key"] == "key-hotel-eastus" + + +def test_apply_overrides_no_config(setup_test_credentials): + """Scenario 6: No model_config anywhere -> data unchanged.""" + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={}, + project_metadata={}, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert "api_base" not in data + assert "api_key" not in data + + +def test_apply_overrides_clientside_credentials_take_precedence( + setup_test_credentials, +): + """Clientside api_base/api_key in data should block model_config override.""" + data = { + "model": "gpt-4", + "api_base": "https://my-custom-endpoint.openai.azure.com/", + "api_key": "my-custom-key", + } + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://my-custom-endpoint.openai.azure.com/" + assert data["api_key"] == "my-custom-key" + + +def test_apply_overrides_missing_credential_name(setup_test_credentials): + """model_config references a credential that doesn't exist -> no override.""" + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "gpt-4": { + "azure": {"litellm_credentials": "nonexistent-credential"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert "api_base" not in data + assert "api_key" not in data + + +def test_apply_overrides_api_version_only_if_present(setup_test_credentials): + """api_version should only be set if the credential contains it.""" + data = {"model": "gpt-3.5"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert data["api_base"] == "https://hotel-eastus.openai.azure.com/" + assert data["api_key"] == "key-hotel-eastus" + assert "api_version" not in data + + +def test_apply_overrides_no_model_in_data(setup_test_credentials): + """No model in request data -> skip override.""" + data = {"messages": [{"role": "user", "content": "hello"}]} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "some-cred"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert "api_base" not in data + + +def test_apply_overrides_none_metadata(setup_test_credentials): + """None metadata on both team and project -> skip override.""" + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata=None, + project_metadata=None, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert "api_base" not in data + + +def test_apply_overrides_clientside_api_version_preserved(setup_test_credentials): + """Clientside api_version should not be overwritten by credential.""" + data = {"model": "gpt-4-vision", "api_version": "2025-01-01"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "gpt-4-vision": { + "azure": {"litellm_credentials": "hotel-rec-vision"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + # api_base and api_key should be set from credential + assert data["api_base"] == "https://hotel-rec-vision.openai.azure.com/" + assert data["api_key"] == "key-hotel-rec-vision" + # api_version should be preserved from the request, not overwritten + assert data["api_version"] == "2025-01-01" + + +def test_resolve_non_dict_model_config_ignored(): + """Non-dict model_config (e.g. string) should be safely skipped.""" + result = _resolve_credential_from_model_config("gpt-4", "not-a-dict", None) + assert result is None + + result = _resolve_credential_from_model_config( + "gpt-4", None, ["also", "not", "a", "dict"] + ) + assert result is None + + # Valid config still works alongside invalid one + result = _resolve_credential_from_model_config( + "gpt-4", + "invalid", + {"gpt-4": {"azure": {"litellm_credentials": "valid-cred"}}}, + ) + assert result == "valid-cred" + + +def test_resolve_pre_alias_model_name_fallback(): + """model_config keyed on pre-alias name should match after alias resolution.""" + team_config = { + "gpt-4": {"azure": {"litellm_credentials": "team-gpt4"}}, + } + # Post-alias name doesn't match, but pre-alias does (team scope) + result = _resolve_credential_from_model_config( + "azure/gpt-4-0613", None, team_config, pre_alias_model_name="gpt-4" + ) + assert result == "team-gpt4" + + # Same test for project scope + project_config = { + "gpt-4": {"azure": {"litellm_credentials": "proj-gpt4"}}, + } + result = _resolve_credential_from_model_config( + "azure/gpt-4-0613", project_config, None, pre_alias_model_name="gpt-4" + ) + assert result == "proj-gpt4" + + +def test_resolve_post_alias_name_takes_priority(): + """Post-alias (resolved) name should be tried before pre-alias name.""" + team_config = { + "gpt-4": {"azure": {"litellm_credentials": "pre-alias-cred"}}, + "gpt-4o-team-1": {"azure": {"litellm_credentials": "post-alias-cred"}}, + } + # Team scope + result = _resolve_credential_from_model_config( + "gpt-4o-team-1", None, team_config, pre_alias_model_name="gpt-4" + ) + assert result == "post-alias-cred" + + # Project scope + result = _resolve_credential_from_model_config( + "gpt-4o-team-1", team_config, None, pre_alias_model_name="gpt-4" + ) + assert result == "post-alias-cred" + + +def test_apply_overrides_with_alias(setup_test_credentials): + """Credential override should work when model name was changed by alias.""" + # Simulate: user called "my-gpt4", alias resolved to "azure/gpt-4-custom" + # model_config is keyed on "my-gpt4" (the pre-alias name) + data = {"model": "azure/gpt-4-custom"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "my-gpt4": {"azure": {"litellm_credentials": "hotel-azure-eastus"}}, + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, + user_api_key_dict=user_api_key_dict, + pre_alias_model_name="my-gpt4", + ) + assert data["api_base"] == "https://hotel-eastus.openai.azure.com/" + assert data["api_key"] == "key-hotel-eastus" + + +def test_apply_overrides_feature_flag_disabled_by_default(): + """Feature flag defaults to False — credential overrides are inert until explicitly enabled.""" + assert litellm.enable_model_config_credential_overrides is False + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "gpt-4": {"azure": {"litellm_credentials": "hotel-azure-eastus"}} + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict + ) + assert "api_base" not in data + assert "api_key" not in data + + +def test_extract_credential_provider_hint_prefers_exact_match(): + """Provider hint selects the correct provider in a multi-provider entry.""" + entry = { + "openai": {"litellm_credentials": "openai-cred"}, + "azure": {"litellm_credentials": "azure-cred"}, + } + # With provider hint, should pick the exact match + assert _extract_credential_from_entry(entry, provider="azure") == "azure-cred" + assert _extract_credential_from_entry(entry, provider="openai") == "openai-cred" + + # Without provider hint, falls back to first key (insertion order) + result = _extract_credential_from_entry(entry) + assert result in ("openai-cred", "azure-cred") + + # Unknown provider falls back to first available + result = _extract_credential_from_entry(entry, provider="bedrock") + assert result in ("openai-cred", "azure-cred") + + +def test_resolve_provider_hint_from_model_name(): + """Provider prefix in model name (e.g. azure/gpt-4) threads through to entry extraction.""" + config = { + "gpt-4": { + "openai": {"litellm_credentials": "openai-cred"}, + "azure": {"litellm_credentials": "azure-cred"}, + }, + } + # Model name "azure/gpt-4" -> provider="azure" -> should prefer azure-cred + # But _resolve_credential_from_model_config tries "azure/gpt-4" first (no match), + # then falls to defaultconfig (no match). So we need to use pre_alias_model_name. + result = _resolve_credential_from_model_config( + "azure/gpt-4", config, None, pre_alias_model_name="gpt-4", provider="azure" + ) + assert result == "azure-cred" diff --git a/tests/test_litellm/responses/test_responses_websocket_all_providers.py b/tests/test_litellm/responses/test_responses_websocket_all_providers.py index 0d83b9f88de..efec841cc4d 100644 --- a/tests/test_litellm/responses/test_responses_websocket_all_providers.py +++ b/tests/test_litellm/responses/test_responses_websocket_all_providers.py @@ -971,3 +971,106 @@ class TestWebSocketChunkTypes: ) assert len(messages) == 1 assert messages[0]["content"][0]["text"] == "Part 1Part 2" + + +class TestNativeWebSocketUrlConstruction: + """Test that native WebSocket URLs include the model query parameter. + + These tests mock websockets.connect so they exercise the actual URL-building + code inside BaseLLMHTTPHandler.async_responses_websocket rather than + reimplementing the logic themselves. + """ + + @pytest.mark.asyncio + async def test_openai_ws_url_includes_model(self): + """Handler must pass ?model= in the URL to the backend WebSocket.""" + from unittest.mock import AsyncMock, MagicMock, patch + + captured_urls = [] + + class FakeConnect: + def __init__(self, url, **kwargs): + captured_urls.append(url) + + async def __aenter__(self): + raise Exception("stop") + + async def __aexit__(self, *args): + pass + + mock_config = MagicMock(spec=OpenAIResponsesAPIConfig) + mock_config.supports_native_websocket.return_value = True + mock_config.get_complete_url.return_value = "https://api.openai.com/v1/responses" + mock_config.validate_environment.return_value = {} + + mock_logging = MagicMock() + mock_logging.pre_call = MagicMock() + + from litellm.llms.custom_httpx.llm_http_handler import BaseLLMHTTPHandler + + handler = BaseLLMHTTPHandler() + + mock_ws = MagicMock() + mock_ws.close = AsyncMock() + + with patch("websockets.connect", FakeConnect): + await handler.async_responses_websocket( + model="gpt-4o-mini", + websocket=mock_ws, + logging_obj=mock_logging, + responses_api_provider_config=mock_config, + api_key="sk-test", + ) + + assert len(captured_urls) == 1 + from urllib.parse import parse_qs, urlparse + qs = parse_qs(urlparse(captured_urls[0]).query) + assert qs.get("model") == ["gpt-4o-mini"], f"Expected model in URL, got: {captured_urls[0]}" + + @pytest.mark.asyncio + async def test_ws_url_preserves_existing_params_and_adds_model(self): + """When api_base already has query params, model is added alongside them.""" + from unittest.mock import AsyncMock, MagicMock, patch + + captured_urls = [] + + class FakeConnect: + def __init__(self, url, **kwargs): + captured_urls.append(url) + + async def __aenter__(self): + raise Exception("stop") + + async def __aexit__(self, *args): + pass + + mock_config = MagicMock(spec=OpenAIResponsesAPIConfig) + mock_config.supports_native_websocket.return_value = True + mock_config.get_complete_url.return_value = ( + "https://custom.example.com/v1/responses?api-version=2024-05-01" + ) + mock_config.validate_environment.return_value = {} + + mock_logging = MagicMock() + mock_logging.pre_call = MagicMock() + + from litellm.llms.custom_httpx.llm_http_handler import BaseLLMHTTPHandler + + handler = BaseLLMHTTPHandler() + mock_ws = MagicMock() + mock_ws.close = AsyncMock() + + with patch("websockets.connect", FakeConnect): + await handler.async_responses_websocket( + model="gpt-4o", + websocket=mock_ws, + logging_obj=mock_logging, + responses_api_provider_config=mock_config, + api_key="sk-test", + ) + + assert len(captured_urls) == 1 + from urllib.parse import parse_qs, urlparse + qs = parse_qs(urlparse(captured_urls[0]).query) + assert qs.get("model") == ["gpt-4o"], f"model missing from URL: {captured_urls[0]}" + assert qs.get("api-version") == ["2024-05-01"], f"existing param lost: {captured_urls[0]}" diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py index 8d1c1001994..4c6582e608e 100644 --- a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py +++ b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py @@ -27,7 +27,6 @@ import litellm from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.llms.openai import ResponsesAPIResponse - # --------------------------------------------------------------------------- # Helpers # --------------------------------------------------------------------------- @@ -70,7 +69,9 @@ class TestEncryptedItemIdCodec: def test_roundtrip(self): model_id = "deployment-1" original_item_id = "rs_abc123def456" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( + model_id, original_item_id + ) assert encoded.startswith("encitem_") decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded) assert decoded is not None @@ -81,7 +82,9 @@ class TestEncryptedItemIdCodec: """Decoding must succeed even if base64 padding (=) was stripped in transit.""" model_id = "gpt-5.1-codex-openai-2" original_item_id = "rs_0efb96cb222403210069a01d5d52588196a9dc394ffdb89d00" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( + model_id, original_item_id + ) # Strip any trailing '=' to simulate what happens in transit stripped = encoded.rstrip("=") decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(stripped) @@ -98,7 +101,9 @@ class TestEncryptedItemIdCodec: """item_id values containing ';' must survive the roundtrip.""" model_id = "deployment-1" original_item_id = "rs_part1;part2;part3" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( + model_id, original_item_id + ) decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded) assert decoded is not None assert decoded["item_id"] == original_item_id @@ -114,8 +119,10 @@ class TestUpdateEncryptedContentItemIds: {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}, ], } - result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, model_id + result = ( + ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( + response, model_id + ) ) # Plain message item untouched assert result["output"][0]["id"] == "msg_abc" @@ -128,10 +135,14 @@ class TestUpdateEncryptedContentItemIds: def test_no_op_when_model_id_is_none(self): response = { - "output": [{"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}] + "output": [ + {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"} + ] } - result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, None + result = ( + ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( + response, None + ) ) assert result["output"][0]["id"] == "rs_xyz" @@ -147,16 +158,20 @@ class TestEncryptedContentWrapping: assert wrapped.startswith("litellm_enc:") assert wrapped != original_content - unwrapped_model_id, unwrapped_content = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) - ) + ( + unwrapped_model_id, + unwrapped_content, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) assert unwrapped_model_id == model_id assert unwrapped_content == original_content def test_unwrap_plain_encrypted_content(self): """Unwrapping plain encrypted_content returns None for model_id.""" plain_content = "gAAAAABpnW_yEYmSNEyOG_plain_content" - model_id, content = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( + ( + model_id, + content, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( plain_content ) assert model_id is None @@ -175,16 +190,19 @@ class TestEncryptedContentWrapping: }, ], } - result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, model_id + result = ( + ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( + response, model_id + ) ) assert result["output"][0].get("encrypted_content") is None wrapped = result["output"][1]["encrypted_content"] assert wrapped.startswith("litellm_enc:") - model_id_extracted, unwrapped = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) - ) + ( + model_id_extracted, + unwrapped, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) assert model_id_extracted == model_id assert unwrapped == "gAAAAABpnW_yEYmSNEyOG_secret" @@ -193,14 +211,18 @@ class TestRestoreEncryptedContentItemIds: def test_restores_encoded_ids(self): model_id = "deployment-1" original_id = "rs_encrypted_item_456" - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_id) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( + model_id, original_id + ) request_input = [ {"type": "message", "id": "msg_abc123", "role": "assistant"}, {"type": "reasoning", "id": encoded_id, "encrypted_content": "secret"}, ] - restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - request_input + restored = ( + ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( + request_input + ) ) assert restored[0]["id"] == "msg_abc123" assert restored[1]["id"] == original_id @@ -209,15 +231,19 @@ class TestRestoreEncryptedContentItemIds: """Test that wrapped encrypted_content is unwrapped before forwarding.""" model_id = "deployment-1" original_content = "gAAAAABpnW_yEYmSNEyOG_original" - wrapped_content = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_content, model_id + wrapped_content = ( + ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( + original_content, model_id + ) ) request_input = [ {"type": "reasoning", "encrypted_content": wrapped_content}, ] - restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - request_input + restored = ( + ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( + request_input + ) ) assert restored[0]["encrypted_content"] == original_content @@ -258,7 +284,9 @@ async def test_encrypted_content_affinity_tracks_and_routes(): "id": "msg_abc123", "status": "completed", "role": "assistant", - "content": [{"type": "output_text", "text": "Hello!", "annotations": []}], + "content": [ + {"type": "output_text", "text": "Hello!", "annotations": []} + ], }, { "type": "reasoning", @@ -317,9 +345,9 @@ async def test_encrypted_content_affinity_tracks_and_routes(): # The response must have rewritten the encrypted item's ID to encoded form encoded_item_id = _extract_encoded_item_id(first_response) - assert encoded_item_id.startswith("encitem_"), ( - f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}" - ) + assert encoded_item_id.startswith( + "encitem_" + ), f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}" # Verify the encoded ID decodes back to the correct deployment + original ID decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded_item_id) @@ -341,9 +369,9 @@ async def test_encrypted_content_affinity_tracks_and_routes(): ) second_model_id = second_response._hidden_params["model_id"] - assert second_model_id == first_model_id, ( - f"Expected affinity to route to {first_model_id}, but got {second_model_id}" - ) + assert ( + second_model_id == first_model_id + ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}" @pytest.mark.asyncio @@ -445,9 +473,9 @@ async def test_encrypted_content_affinity_bypasses_rpm_limits(): # Extract encoded item ID from the first response output encoded_item_id = _extract_encoded_item_id(first_response) - assert encoded_item_id.startswith("encitem_"), ( - f"Expected encitem_... but got {encoded_item_id!r}" - ) + assert encoded_item_id.startswith( + "encitem_" + ), f"Expected encitem_... but got {encoded_item_id!r}" # Follow-up with the encoded item ID — should pin to same deployment second_response = await router.aresponses( @@ -592,15 +620,16 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id(): if hasattr(first_item, "encrypted_content") else first_item.get("encrypted_content") ) - assert wrapped_content.startswith("litellm_enc:"), ( - f"Expected wrapped content but got {wrapped_content[:50]}..." - ) + assert wrapped_content.startswith( + "litellm_enc:" + ), f"Expected wrapped content but got {wrapped_content[:50]}..." # Verify we can extract model_id from wrapped content - extracted_model_id, _ = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( - wrapped_content - ) + ( + extracted_model_id, + _, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( + wrapped_content ) assert extracted_model_id == first_model_id @@ -616,9 +645,9 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id(): ) second_model_id = second_response._hidden_params["model_id"] - assert second_model_id == first_model_id, ( - f"Expected affinity to route to {first_model_id}, but got {second_model_id}" - ) + assert ( + second_model_id == first_model_id + ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}" def test_encrypted_content_wrapping_preserves_original_content(): @@ -627,19 +656,22 @@ def test_encrypted_content_wrapping_preserves_original_content(): This is critical for streaming responses where content must round-trip correctly. """ model_id = "test-deployment-1" - original_encrypted_content = "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/" + original_encrypted_content = ( + "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/" + ) wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( original_encrypted_content, model_id ) - + assert wrapped.startswith("litellm_enc:") assert wrapped != original_encrypted_content - extracted_model_id, unwrapped_content = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) - ) - + ( + extracted_model_id, + unwrapped_content, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) + assert extracted_model_id == model_id assert unwrapped_content == original_encrypted_content @@ -654,15 +686,82 @@ def test_encrypted_content_wrapping_with_multiple_semicolons(): wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( original_content, model_id ) - - extracted_model_id, unwrapped = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) - ) - + + ( + extracted_model_id, + unwrapped, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) + assert extracted_model_id == model_id assert unwrapped == original_content +# --------------------------------------------------------------------------- +# Regression tests: affinity check must not break tag-based routing +# --------------------------------------------------------------------------- + +from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, +) + + +@pytest.mark.asyncio +async def test_encrypted_content_affinity_does_not_create_litellm_metadata_for_chat(): + """ + For chat completions / embeddings, request_kwargs uses 'metadata' (not + 'litellm_metadata'). The affinity check must NOT create a spurious + 'litellm_metadata' key, because that would cause + _get_metadata_variable_name_from_kwargs to return 'litellm_metadata' + and tag-based routing would look for tags in the wrong dict. + """ + check = EncryptedContentAffinityCheck() + deployments = [ + {"model_info": {"id": "dep-1"}, "litellm_params": {"model": "gpt-4"}}, + ] + request_kwargs = {"metadata": {"tags": ["prod"]}} + + result = await check.async_filter_deployments( + model="gpt-4", + healthy_deployments=deployments, + messages=[{"role": "user", "content": "hi"}], + request_kwargs=request_kwargs, + ) + + # Must not inject litellm_metadata + assert "litellm_metadata" not in request_kwargs + # Tags must be untouched + assert request_kwargs["metadata"]["tags"] == ["prod"] + # All deployments returned (no pinning) + assert len(result) == 1 + + +@pytest.mark.asyncio +async def test_encrypted_content_affinity_preserves_litellm_metadata_for_responses(): + """ + For Responses API calls, litellm_metadata already exists. The affinity + check should set the flag there and preserve existing keys. + """ + check = EncryptedContentAffinityCheck() + deployments = [ + {"model_info": {"id": "dep-1"}, "litellm_params": {"model": "gpt-5.1-codex"}}, + ] + request_kwargs = { + "litellm_metadata": {"model_info": {"id": "dep-1"}}, + } + + await check.async_filter_deployments( + model="gpt-5.1-codex", + healthy_deployments=deployments, + messages=None, + request_kwargs=request_kwargs, + ) + + assert ( + request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True + ) + assert request_kwargs["litellm_metadata"]["model_info"] == {"id": "dep-1"} + + def test_encrypted_content_wrapping_empty_string(): """ Test that empty encrypted_content is handled gracefully. @@ -673,12 +772,13 @@ def test_encrypted_content_wrapping_empty_string(): wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( original_content, model_id ) - + assert wrapped.startswith("litellm_enc:") - extracted_model_id, unwrapped = ( - ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) - ) - + ( + extracted_model_id, + unwrapped, + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped) + assert extracted_model_id == model_id assert unwrapped == original_content diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py index 8f5c3ece0ca..0258eaabe33 100644 --- a/tests/test_litellm/test_cost_calculator.py +++ b/tests/test_litellm/test_cost_calculator.py @@ -67,6 +67,32 @@ def test_cost_calculator_with_response_cost_in_additional_headers(): assert result == 1000 +def test_baseten_model_api_pricing_entries(): + os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" + litellm.model_cost = litellm.get_model_cost_map(url="") + + expected_pricing = { + "baseten/nvidia/Nemotron-120B-A12B": (3e-07, 7.5e-07), + "baseten/MiniMaxAI/MiniMax-M2.5": (3e-07, 1.2e-06), + "baseten/zai-org/GLM-5": (9.5e-07, 3.15e-06), + "baseten/zai-org/GLM-4.7": (6e-07, 2.2e-06), + "baseten/zai-org/GLM-4.6": (6e-07, 2.2e-06), + "baseten/moonshotai/Kimi-K2.5": (6e-07, 3e-06), + "baseten/moonshotai/Kimi-K2-Thinking": (6e-07, 2.5e-06), + "baseten/moonshotai/Kimi-K2-Instruct-0905": (6e-07, 2.5e-06), + "baseten/openai/gpt-oss-120b": (1e-07, 5e-07), + "baseten/deepseek-ai/DeepSeek-V3.1": (5e-07, 1.5e-06), + "baseten/deepseek-ai/DeepSeek-V3-0324": (7.7e-07, 7.7e-07), + } + + for model_name, (input_cost, output_cost) in expected_pricing.items(): + model_info = litellm.model_cost.get(model_name) + assert model_info is not None, f"Missing model pricing entry: {model_name}" + assert model_info["litellm_provider"] == "baseten" + assert model_info["input_cost_per_token"] == input_cost + assert model_info["output_cost_per_token"] == output_cost + + def test_cost_calculator_with_usage(monkeypatch): os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" litellm.model_cost = litellm.get_model_cost_map(url="") @@ -123,6 +149,7 @@ def test_cost_calculator_with_usage(monkeypatch): # Invalidate caches after modifying litellm.model_cost from litellm.utils import _invalidate_model_cost_lowercase_map + _invalidate_model_cost_lowercase_map() result = response_cost_calculator( @@ -528,9 +555,7 @@ def test_azure_audio_output_cost_calculation(): model_info = litellm.get_model_info("azure/gpt-audio-2025-08-28") # Calculate expected cost - expected_input_cost = ( - model_info["input_cost_per_token"] * 17 # text tokens - ) + expected_input_cost = model_info["input_cost_per_token"] * 17 # text tokens expected_output_cost = ( model_info["output_cost_per_token"] * 110 # text tokens + model_info["output_cost_per_audio_token"] * 482 # audio tokens @@ -542,14 +567,14 @@ def test_azure_audio_output_cost_calculation(): wrong_total_cost = expected_input_cost + wrong_output_cost # Verify audio tokens are NOT charged at text rate (the bug) - assert abs(cost - wrong_total_cost) > 0.001, ( - "Bug: Audio tokens are being charged at text token rate" - ) + assert ( + abs(cost - wrong_total_cost) > 0.001 + ), "Bug: Audio tokens are being charged at text token rate" # Verify cost matches - assert abs(cost - expected_total_cost) < 0.0000001, ( - f"Expected cost {expected_total_cost}, got {cost}" - ) + assert ( + abs(cost - expected_total_cost) < 0.0000001 + ), f"Expected cost {expected_total_cost}, got {cost}" def test_default_image_cost_calculator(monkeypatch): @@ -1056,12 +1081,12 @@ def test_azure_ai_cache_cost_calculation(): print(f"Output cost: {output_cost}, Expected: {expected_output_cost}") print(f"Total cost: {total_cost}") - assert abs(input_cost - expected_input_cost) < 1e-10, ( - f"Input cost mismatch: got {input_cost}, expected {expected_input_cost}" - ) - assert abs(output_cost - expected_output_cost) < 1e-10, ( - f"Output cost mismatch: got {output_cost}, expected {expected_output_cost}" - ) + assert ( + abs(input_cost - expected_input_cost) < 1e-10 + ), f"Input cost mismatch: got {input_cost}, expected {expected_input_cost}" + assert ( + abs(output_cost - expected_output_cost) < 1e-10 + ), f"Output cost mismatch: got {output_cost}, expected {expected_output_cost}" def test_cost_discount_vertex_ai(): @@ -1929,7 +1954,9 @@ def test_gemini_implicit_caching_cost_calculation(): f"Cached tokens may not be using reduced pricing." ) - print("✅ Issue #16341 fix verified: Gemini implicit caching cost calculated correctly") + print( + "✅ Issue #16341 fix verified: Gemini implicit caching cost calculated correctly" + ) def test_additional_costs_only_for_azure_ai(): diff --git a/tests/test_litellm/test_logging.py b/tests/test_litellm/test_logging.py index 6f65ada7459..fe1d7208d78 100644 --- a/tests/test_litellm/test_logging.py +++ b/tests/test_litellm/test_logging.py @@ -177,6 +177,72 @@ def test_json_formatter_parses_embedded_python_dict_repr(): assert obj["model_info"]["db_model"] is False +def test_json_formatter_includes_component_field(): + """ + Test that JsonFormatter always emits a 'component' field equal to the logger name. + This allows filtering by component (e.g. "LiteLLM Proxy") in Datadog / third-party log services. + """ + formatter = JsonFormatter() + for logger_name in ("LiteLLM Proxy", "LiteLLM Router", "LiteLLM"): + record = logging.LogRecord( + name=logger_name, + level=logging.ERROR, + pathname="proxy_server.py", + lineno=42, + msg="something went wrong", + args=(), + exc_info=None, + ) + output = formatter.format(record) + obj = json.loads(output) + assert obj["component"] == logger_name, ( + f"Expected component={logger_name!r}, got {obj.get('component')!r}" + ) + + +def test_json_formatter_includes_logger_field(): + """ + Test that JsonFormatter always emits a 'logger' field with filename:lineno. + This allows pinpointing the exact source of a log line in third-party services. + """ + formatter = JsonFormatter() + record = logging.LogRecord( + name="LiteLLM Proxy", + level=logging.INFO, + pathname="/app/litellm/proxy/proxy_server.py", + lineno=123, + msg="request received", + args=(), + exc_info=None, + ) + output = formatter.format(record) + obj = json.loads(output) + assert obj["logger"] == "proxy_server.py:123", ( + f"Expected logger='proxy_server.py:123', got {obj['logger']!r}" + ) + + +def test_json_formatter_extra_component_not_overwritten(): + """ + User-supplied extra={"component": "..."} must not be silently dropped. + """ + formatter = JsonFormatter() + record = logging.LogRecord( + name="LiteLLM Proxy", + level=logging.INFO, + pathname="proxy_server.py", + lineno=1, + msg="event", + args=(), + exc_info=None, + ) + record.component = "auth-service" + obj = json.loads(formatter.format(record)) + assert obj["component"] == "auth-service", ( + f"User-supplied component was overwritten, got {obj['component']!r}" + ) + + def test_initialize_loggers_with_handler_sets_propagate_false(): """ Test that the initialize_loggers_with_handler function sets propagate to False for all loggers diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py index 262dce439c0..dc9b2c525c2 100644 --- a/tests/test_litellm/test_router.py +++ b/tests/test_litellm/test_router.py @@ -237,6 +237,79 @@ async def test_async_router_acreate_file_with_jsonl(): assert first_call_content == non_jsonl_content +@pytest.mark.asyncio +async def test_async_router_acreate_file_uses_deployment_custom_llm_provider(): + """ + Ensure file routing preserves deployment custom_llm_provider instead of + inferring provider from model string alone. + """ + from unittest.mock import MagicMock, patch + + router = litellm.Router( + model_list=[ + { + "model_name": "team-azure-batch", + "litellm_params": { + "model": "gpt-4.1-mini", + "custom_llm_provider": "azure", + "api_base": "https://example-resource.openai.azure.com", + }, + }, + ], + ) + + with patch("litellm.acreate_file", return_value=MagicMock()) as mock_acreate_file: + await router.acreate_file( + model="team-azure-batch", + purpose="batch", + file=MagicMock(), + ) + + assert mock_acreate_file.call_count == 1 + assert mock_acreate_file.call_args.kwargs["custom_llm_provider"] == "azure" + + +@pytest.mark.asyncio +async def test_async_router_afile_content_uses_deployment_custom_llm_provider(): + """ + Regression test: Ensure afile_content preserves deployment custom_llm_provider + when model name lacks provider prefix (e.g., "gpt-4.1-mini" instead of "azure/gpt-4.1-mini"). + + This prevents "None is not a valid LlmProviders" errors when calling file content operations. + """ + from unittest.mock import AsyncMock, MagicMock, patch + from litellm.types.llms.openai import HttpxBinaryResponseContent + + router = litellm.Router( + model_list=[ + { + "model_name": "team-azure-batch", + "litellm_params": { + "model": "gpt-4.1-mini", # No provider prefix + "custom_llm_provider": "azure", + "api_base": "https://example-resource.openai.azure.com", + "api_key": "test-key", + }, + }, + ], + ) + + # Mock the Azure file handler's afile_content method + mock_response = MagicMock(spec=HttpxBinaryResponseContent) + mock_response.response = MagicMock() + + with patch("litellm.llms.azure.files.handler.AzureOpenAIFilesAPI.afile_content", + return_value=mock_response) as mock_afile_content: + result = await router.afile_content( + model="team-azure-batch", + file_id="file-123", + ) + + # Verify the call was made (proves custom_llm_provider was correctly passed) + assert mock_afile_content.call_count == 1 + assert result == mock_response + + @pytest.mark.asyncio async def test_arouter_async_get_healthy_deployments(): """ diff --git a/tests/ui_e2e_tests/constants.ts b/tests/ui_e2e_tests/constants.ts new file mode 100644 index 00000000000..484cde30fc6 --- /dev/null +++ b/tests/ui_e2e_tests/constants.ts @@ -0,0 +1,40 @@ +export const ADMIN_STORAGE_PATH = "admin.storageState.json"; + +// Page enum — maps to ?page= query parameter values in the UI +export enum Page { + ApiKeys = "api-keys", + Teams = "teams", + AdminSettings = "settings", +} + +// Test user credentials — all users have password "test" (hashed in seed.sql) +export enum Role { + ProxyAdmin = "proxy_admin", + ProxyAdminViewer = "proxy_admin_viewer", + InternalUser = "internal_user", + InternalUserViewer = "internal_user_viewer", + TeamAdmin = "team_admin", +} + +export const users: Record = { + [Role.ProxyAdmin]: { + email: "admin", + password: process.env.LITELLM_MASTER_KEY || "sk-1234", + }, + [Role.ProxyAdminViewer]: { + email: "adminviewer@test.local", + password: "test", + }, + [Role.InternalUser]: { + email: "internal@test.local", + password: "test", + }, + [Role.InternalUserViewer]: { + email: "viewer@test.local", + password: "test", + }, + [Role.TeamAdmin]: { + email: "teamadmin@test.local", + password: "test", + }, +}; diff --git a/tests/ui_e2e_tests/fixtures/config.yml b/tests/ui_e2e_tests/fixtures/config.yml new file mode 100644 index 00000000000..438c236b03b --- /dev/null +++ b/tests/ui_e2e_tests/fixtures/config.yml @@ -0,0 +1,16 @@ +model_list: + - model_name: fake-openai-gpt-4 + litellm_params: + model: openai/fake-gpt-4 + api_base: os.environ/MOCK_LLM_URL + api_key: fake-key + - model_name: fake-anthropic-claude + litellm_params: + model: openai/fake-claude + api_base: os.environ/MOCK_LLM_URL + api_key: fake-key + +general_settings: + master_key: os.environ/LITELLM_MASTER_KEY + database_url: os.environ/DATABASE_URL + store_prompts_in_spend_logs: true diff --git a/tests/ui_e2e_tests/fixtures/mock_llm_server/server.py b/tests/ui_e2e_tests/fixtures/mock_llm_server/server.py new file mode 100644 index 00000000000..7a0699016aa --- /dev/null +++ b/tests/ui_e2e_tests/fixtures/mock_llm_server/server.py @@ -0,0 +1,118 @@ +""" +Mock LLM server for UI e2e tests. +Responds to OpenAI-format endpoints with canned responses. +""" + +import time +import json +import uuid + +import uvicorn +from fastapi import FastAPI, Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import StreamingResponse + + +app = FastAPI(title="Mock LLM Server") +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_methods=["*"], + allow_headers=["*"], +) + + +@app.get("/health") +async def health(): + return {"status": "ok"} + + +@app.get("/v1/models") +@app.get("/models") +async def list_models(): + return { + "object": "list", + "data": [ + {"id": "fake-gpt-4", "object": "model", "owned_by": "mock"}, + {"id": "fake-claude", "object": "model", "owned_by": "mock"}, + ], + } + + +@app.post("/v1/chat/completions") +@app.post("/chat/completions") +async def chat_completions(request: Request): + body = await request.json() + model = body.get("model", "mock-model") + stream = body.get("stream", False) + + response_id = f"chatcmpl-{uuid.uuid4().hex[:12]}" + created = int(time.time()) + + if stream: + async def stream_generator(): + chunk = { + "id": response_id, + "object": "chat.completion.chunk", + "created": created, + "model": model, + "choices": [ + { + "index": 0, + "delta": {"role": "assistant", "content": "This is a mock response."}, + "finish_reason": None, + } + ], + } + yield f"data: {json.dumps(chunk)}\n\n" + + done_chunk = { + "id": response_id, + "object": "chat.completion.chunk", + "created": created, + "model": model, + "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}], + } + yield f"data: {json.dumps(done_chunk)}\n\n" + yield "data: [DONE]\n\n" + + return StreamingResponse( + stream_generator(), media_type="text/event-stream" + ) + + return { + "id": response_id, + "object": "chat.completion", + "created": created, + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "This is a mock response."}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 10, "completion_tokens": 8, "total_tokens": 18}, + } + + +@app.post("/v1/embeddings") +@app.post("/embeddings") +async def embeddings(request: Request): + body = await request.json() + inputs = body.get("input", [""]) + if isinstance(inputs, str): + inputs = [inputs] + return { + "object": "list", + "data": [ + {"object": "embedding", "index": i, "embedding": [0.0] * 1536} + for i in range(len(inputs)) + ], + "model": body.get("model", "mock-embedding"), + "usage": {"prompt_tokens": 5, "total_tokens": 5}, + } + + +if __name__ == "__main__": + uvicorn.run(app, host="127.0.0.1", port=8090) diff --git a/tests/ui_e2e_tests/fixtures/seed.sql b/tests/ui_e2e_tests/fixtures/seed.sql new file mode 100644 index 00000000000..f271a748177 --- /dev/null +++ b/tests/ui_e2e_tests/fixtures/seed.sql @@ -0,0 +1,103 @@ +-- UI E2E Test Database Seed +-- Run with: psql $DATABASE_URL -f seed.sql + +-- ============================================================ +-- 1. Budget Table (must be first — referenced by org FK) +-- ============================================================ +INSERT INTO "LiteLLM_BudgetTable" ( + budget_id, max_budget, created_by, updated_by +) VALUES ( + 'e2e-budget-org', 1000.0, 'e2e-proxy-admin', 'e2e-proxy-admin' +) ON CONFLICT (budget_id) DO NOTHING; + +-- ============================================================ +-- 2. Organization +-- ============================================================ +INSERT INTO "LiteLLM_OrganizationTable" ( + organization_id, organization_alias, budget_id, metadata, models, spend, + model_spend, created_by, updated_by +) VALUES ( + 'e2e-org-main', 'E2E Organization', 'e2e-budget-org', '{}'::jsonb, + ARRAY[]::text[], 0.0, '{}'::jsonb, 'e2e-proxy-admin', 'e2e-proxy-admin' +) ON CONFLICT (organization_id) DO NOTHING; + +-- ============================================================ +-- 3. Users (password is scrypt hash of "test") +-- ============================================================ +INSERT INTO "LiteLLM_UserTable" ( + user_id, user_email, user_role, password, teams, models, metadata, + spend, model_spend, model_max_budget +) VALUES +( + 'e2e-proxy-admin', 'admin@test.local', 'proxy_admin', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr', + ARRAY['e2e-team-crud']::text[], ARRAY[]::text[], '{}'::jsonb, + 0.0, '{}'::jsonb, '{}'::jsonb +), +( + 'e2e-admin-viewer', 'adminviewer@test.local', 'proxy_admin_viewer', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr', + ARRAY[]::text[], ARRAY[]::text[], '{}'::jsonb, + 0.0, '{}'::jsonb, '{}'::jsonb +), +( + 'e2e-internal-user', 'internal@test.local', 'internal_user', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr', + ARRAY['e2e-team-crud', 'e2e-team-org']::text[], ARRAY[]::text[], '{}'::jsonb, + 0.0, '{}'::jsonb, '{}'::jsonb +), +( + 'e2e-internal-viewer', 'viewer@test.local', 'internal_user_viewer', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr', + ARRAY[]::text[], ARRAY[]::text[], '{}'::jsonb, + 0.0, '{}'::jsonb, '{}'::jsonb +), +( + 'e2e-team-admin', 'teamadmin@test.local', 'internal_user', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr', + ARRAY['e2e-team-crud', 'e2e-team-delete']::text[], ARRAY[]::text[], '{}'::jsonb, + 0.0, '{}'::jsonb, '{}'::jsonb +) +ON CONFLICT (user_id) DO NOTHING; + +-- ============================================================ +-- 4. Teams +-- ============================================================ +INSERT INTO "LiteLLM_TeamTable" ( + team_id, team_alias, organization_id, admins, members, + members_with_roles, metadata, models, spend, model_spend, + model_max_budget, blocked +) VALUES +( + 'e2e-team-crud', 'E2E Team CRUD', NULL, + ARRAY['e2e-team-admin']::text[], + ARRAY['e2e-team-admin', 'e2e-internal-user']::text[], + '[{"role": "admin", "user_id": "e2e-team-admin"}, {"role": "user", "user_id": "e2e-internal-user"}]'::jsonb, + '{}'::jsonb, + ARRAY['fake-openai-gpt-4', 'fake-anthropic-claude']::text[], + 0.0, '{}'::jsonb, '{}'::jsonb, false +), +( + 'e2e-team-delete', 'E2E Team Delete', NULL, + ARRAY['e2e-team-admin']::text[], + ARRAY['e2e-team-admin']::text[], + '[{"role": "admin", "user_id": "e2e-team-admin"}]'::jsonb, + '{}'::jsonb, + ARRAY['fake-openai-gpt-4']::text[], + 0.0, '{}'::jsonb, '{}'::jsonb, false +), +( + 'e2e-team-org', 'E2E Team In Org', 'e2e-org-main', + ARRAY[]::text[], + ARRAY['e2e-internal-user']::text[], + '[{"role": "user", "user_id": "e2e-internal-user"}]'::jsonb, + '{}'::jsonb, + ARRAY['fake-openai-gpt-4']::text[], + 0.0, '{}'::jsonb, '{}'::jsonb, false +) +ON CONFLICT (team_id) DO NOTHING; + +-- ============================================================ +-- 5. Team Memberships +-- ============================================================ +INSERT INTO "LiteLLM_TeamMembership" (user_id, team_id, spend) VALUES + ('e2e-team-admin', 'e2e-team-crud', 0.0), + ('e2e-internal-user', 'e2e-team-crud', 0.0), + ('e2e-team-admin', 'e2e-team-delete', 0.0), + ('e2e-internal-user', 'e2e-team-org', 0.0) +ON CONFLICT (user_id, team_id) DO NOTHING; diff --git a/tests/ui_e2e_tests/globalSetup.ts b/tests/ui_e2e_tests/globalSetup.ts new file mode 100644 index 00000000000..ff82cded2c3 --- /dev/null +++ b/tests/ui_e2e_tests/globalSetup.ts @@ -0,0 +1,32 @@ +import { chromium, expect } from "@playwright/test"; +import { users, Role, ADMIN_STORAGE_PATH } from "./constants"; +import * as fs from "fs"; + +async function globalSetup() { + const browser = await chromium.launch(); + const page = await browser.newPage(); + await page.goto("http://localhost:4000/ui/login"); + await page.getByPlaceholder("Enter your username").fill(users[Role.ProxyAdmin].email); + await page.getByPlaceholder("Enter your password").fill(users[Role.ProxyAdmin].password); + await page.getByRole("button", { name: "Login", exact: true }).click(); + try { + // Wait for navigation away from login page into the dashboard + await page.waitForURL( + (url) => url.pathname.startsWith("/ui") && !url.pathname.includes("/login"), + { timeout: 30_000 }, + ); + // Wait for sidebar to render as a signal that the dashboard is ready + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible({ timeout: 30_000 }); + } catch (e) { + // Save a screenshot for debugging before re-throwing + fs.mkdirSync("test-results", { recursive: true }); + await page.screenshot({ path: "test-results/global-setup-failure.png", fullPage: true }); + console.error("Global setup failed. Screenshot saved to test-results/global-setup-failure.png"); + console.error("Current URL:", page.url()); + throw e; + } + await page.context().storageState({ path: ADMIN_STORAGE_PATH }); + await browser.close(); +} + +export default globalSetup; diff --git a/tests/ui_e2e_tests/helpers/login.ts b/tests/ui_e2e_tests/helpers/login.ts new file mode 100644 index 00000000000..d1c1ac410fc --- /dev/null +++ b/tests/ui_e2e_tests/helpers/login.ts @@ -0,0 +1,16 @@ +import { Page as PlaywrightPage, expect } from "@playwright/test"; +import { users, Role } from "../constants"; + +export async function loginAs(page: PlaywrightPage, role: Role) { + const user = users[role]; + await page.goto("/ui/login"); + await page.getByPlaceholder("Enter your username").fill(user.email); + await page.getByPlaceholder("Enter your password").fill(user.password); + await page.getByRole("button", { name: "Login", exact: true }).click(); + // Wait for navigation away from login page into the dashboard + await page.waitForURL((url) => url.pathname.startsWith("/ui") && !url.pathname.includes("/login"), { + timeout: 30_000, + }); + // Wait for sidebar to render as a signal that the dashboard is ready + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible({ timeout: 30_000 }); +} diff --git a/tests/ui_e2e_tests/helpers/navigation.ts b/tests/ui_e2e_tests/helpers/navigation.ts new file mode 100644 index 00000000000..065e2180535 --- /dev/null +++ b/tests/ui_e2e_tests/helpers/navigation.ts @@ -0,0 +1,6 @@ +import { Page as PlaywrightPage } from "@playwright/test"; +import { Page } from "../constants"; + +export async function navigateToPage(page: PlaywrightPage, targetPage: Page) { + await page.goto(`/ui?page=${targetPage}`); +} diff --git a/tests/ui_e2e_tests/package-lock.json b/tests/ui_e2e_tests/package-lock.json new file mode 100644 index 00000000000..5ce8059b784 --- /dev/null +++ b/tests/ui_e2e_tests/package-lock.json @@ -0,0 +1,76 @@ +{ + "name": "litellm-ui-e2e-tests", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "litellm-ui-e2e-tests", + "devDependencies": { + "@playwright/test": "^1.50.0" + } + }, + "node_modules/@playwright/test": { + "version": "1.59.1", + "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.59.1.tgz", + "integrity": "sha512-PG6q63nQg5c9rIi4/Z5lR5IVF7yU5MqmKaPOe0HSc0O2cX1fPi96sUQu5j7eo4gKCkB2AnNGoWt7y4/Xx3Kcqg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "playwright": "1.59.1" + }, + "bin": { + "playwright": "cli.js" + }, + "engines": { + "node": ">=18" + } + }, + "node_modules/fsevents": { + "version": "2.3.2", + "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz", + "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==", + "dev": true, + "hasInstallScript": true, + "license": "MIT", + "optional": true, + "os": [ + "darwin" + ], + "engines": { + "node": "^8.16.0 || ^10.6.0 || >=11.0.0" + } + }, + "node_modules/playwright": { + "version": "1.59.1", + "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.59.1.tgz", + "integrity": "sha512-C8oWjPR3F81yljW9o5OxcWzfh6avkVwDD2VYdwIGqTkl+OGFISgypqzfu7dOe4QNLL2aqcWBmI3PMtLIK233lw==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "playwright-core": "1.59.1" + }, + "bin": { + "playwright": "cli.js" + }, + "engines": { + "node": ">=18" + }, + "optionalDependencies": { + "fsevents": "2.3.2" + } + }, + "node_modules/playwright-core": { + "version": "1.59.1", + "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.59.1.tgz", + "integrity": "sha512-HBV/RJg81z5BiiZ9yPzIiClYV/QMsDCKUyogwH9p3MCP6IYjUFu/MActgYAvK0oWyV9NlwM3GLBjADyWgydVyg==", + "dev": true, + "license": "Apache-2.0", + "bin": { + "playwright-core": "cli.js" + }, + "engines": { + "node": ">=18" + } + } + } +} diff --git a/tests/ui_e2e_tests/package.json b/tests/ui_e2e_tests/package.json new file mode 100644 index 00000000000..b57fcd51e59 --- /dev/null +++ b/tests/ui_e2e_tests/package.json @@ -0,0 +1,12 @@ +{ + "name": "litellm-ui-e2e-tests", + "private": true, + "devDependencies": { + "@playwright/test": "^1.50.0" + }, + "scripts": { + "e2e": "playwright test", + "e2e:headed": "playwright test --headed", + "e2e:ui": "playwright test --ui" + } +} diff --git a/tests/ui_e2e_tests/playwright.config.ts b/tests/ui_e2e_tests/playwright.config.ts new file mode 100644 index 00000000000..6c6fd2d5e95 --- /dev/null +++ b/tests/ui_e2e_tests/playwright.config.ts @@ -0,0 +1,31 @@ +import { defineConfig, devices } from "@playwright/test"; + +const isCI = !!process.env.CI; + +export default defineConfig({ + testDir: "./tests", + testMatch: "**/*.spec.ts", + globalSetup: "./globalSetup.ts", + fullyParallel: false, + forbidOnly: isCI, + retries: isCI ? 2 : 0, + workers: 1, + reporter: isCI ? [["html", { open: "never" }]] : [["html"]], + timeout: 4 * 60 * 1000, + expect: { + timeout: 10_000, + }, + use: { + baseURL: "http://localhost:4000", + trace: "on-first-retry", + screenshot: "only-on-failure", + actionTimeout: 15_000, + navigationTimeout: 30_000, + }, + projects: [ + { + name: "chromium", + use: { ...devices["Desktop Chrome"] }, + }, + ], +}); diff --git a/tests/ui_e2e_tests/run_e2e.sh b/tests/ui_e2e_tests/run_e2e.sh new file mode 100755 index 00000000000..400e53258d9 --- /dev/null +++ b/tests/ui_e2e_tests/run_e2e.sh @@ -0,0 +1,162 @@ +#!/usr/bin/env bash +set -euo pipefail + +# ================================================================ +# UI E2E Test Runner +# Starts postgres, seeds DB, starts mock + proxy, runs Playwright. +# All credentials are generated per run — nothing is stored on disk. +# +# In CI (CI=true), expects: +# - PostgreSQL already running on 127.0.0.1:5432 +# - DATABASE_URL already set +# - Python/Poetry already installed +# - Node.js/npx already available +# ================================================================ + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +REPO_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" +IS_CI="${CI:-false}" +CONTAINER_NAME="litellm-e2e-postgres-$$" +MOCK_PID="" +PROXY_PID="" + +# --- Ensure common tool paths are available (local dev only) --- +if [ "$IS_CI" = "false" ]; then + for p in /usr/local/bin /opt/homebrew/bin "$HOME/.local/bin" /opt/homebrew/opt/postgresql@14/bin /opt/homebrew/opt/libpq/bin; do + [ -d "$p" ] && export PATH="$p:$PATH" + done + [ -s "$HOME/.nvm/nvm.sh" ] && source "$HOME/.nvm/nvm.sh" +fi + +# --- Cleanup on exit --- +cleanup() { + echo "Cleaning up..." + [ -n "$MOCK_PID" ] && kill "$MOCK_PID" 2>/dev/null || true + [ -n "$PROXY_PID" ] && kill "$PROXY_PID" 2>/dev/null || true + if [ "$IS_CI" = "false" ]; then + docker stop "$CONTAINER_NAME" 2>/dev/null || true + fi + echo "Done." +} +trap cleanup EXIT INT TERM + +# --- Pre-flight checks --- +for cmd in python3 npx poetry; do + command -v "$cmd" >/dev/null 2>&1 || { echo "Error: $cmd not found."; exit 1; } +done + +# --- Database setup --- +if [ "$IS_CI" = "false" ]; then + # Local: spin up a postgres container + for cmd in docker psql; do + command -v "$cmd" >/dev/null 2>&1 || { echo "Error: $cmd not found."; exit 1; } + done + for port in 4000 5432 8090; do + if lsof -ti ":$port" >/dev/null 2>&1; then + echo "Error: port $port is in use" + exit 1 + fi + done + + export POSTGRES_USER="e2euser" + export POSTGRES_PASSWORD="$(openssl rand -hex 32)" + export POSTGRES_DB="litellm_e2e" + export DATABASE_URL="postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@127.0.0.1:5432/${POSTGRES_DB}" + + echo "=== Starting PostgreSQL ===" + docker run -d --rm --name "$CONTAINER_NAME" \ + -e POSTGRES_USER -e POSTGRES_PASSWORD -e POSTGRES_DB \ + -p 127.0.0.1:5432:5432 \ + postgres:16 + + echo "Waiting for PostgreSQL..." + for i in $(seq 1 30); do + if PGPASSWORD="$POSTGRES_PASSWORD" pg_isready -h 127.0.0.1 -U "$POSTGRES_USER" -d "$POSTGRES_DB" >/dev/null 2>&1; then + break + fi + sleep 1 + done +else + # CI: postgres is already running as a service container + echo "=== Using CI PostgreSQL service ===" + : "${DATABASE_URL:?DATABASE_URL must be set in CI}" +fi + +# --- Credentials --- +export LITELLM_MASTER_KEY="sk-e2e-$(openssl rand -hex 32)" +export MOCK_LLM_URL="http://127.0.0.1:8090/v1" +export DISABLE_SCHEMA_UPDATE="true" + +# --- Python environment --- +echo "=== Setting up Python environment ===" +cd "$REPO_ROOT" +if ! poetry run python3 -c "import prisma" 2>/dev/null; then + echo "Installing Python dependencies (first run)..." + poetry install --with dev,proxy-dev --extras "proxy" --quiet + poetry run pip install nodejs-wheel-binaries 2>/dev/null || true + poetry run prisma generate --schema litellm/proxy/schema.prisma +fi + +echo "=== Pushing Prisma schema to database ===" +poetry run prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss + +# --- Mock LLM server --- +echo "=== Starting mock LLM server ===" +poetry run python3 "$SCRIPT_DIR/fixtures/mock_llm_server/server.py" & +MOCK_PID=$! + +for i in $(seq 1 15); do + if curl -sf http://127.0.0.1:8090/health >/dev/null 2>&1; then break; fi + sleep 1 +done + +# --- LiteLLM proxy --- +echo "=== Starting LiteLLM proxy ===" +cd "$REPO_ROOT" +poetry run python3 -m litellm.proxy.proxy_cli \ + --config "$SCRIPT_DIR/fixtures/config.yml" \ + --port 4000 & +PROXY_PID=$! + +echo "Waiting for proxy..." +PROXY_READY=0 +for i in $(seq 1 180); do + if ! kill -0 "$PROXY_PID" 2>/dev/null; then + echo "Error: proxy process exited unexpectedly" + exit 1 + fi + HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:4000/health -H "Authorization: Bearer $LITELLM_MASTER_KEY" 2>/dev/null || true) + if [ "$HTTP_CODE" = "200" ]; then + PROXY_READY=1 + break + fi + sleep 1 +done +if [ "$PROXY_READY" -ne 1 ]; then + echo "Error: proxy did not become healthy within 180 seconds" + exit 1 +fi +echo "Proxy is ready." + +# --- Seed database --- +echo "=== Seeding database ===" +# Extract credentials from DATABASE_URL for psql +DB_USER=$(echo "$DATABASE_URL" | sed -n 's|.*://\([^:]*\):.*|\1|p') +DB_PASS=$(echo "$DATABASE_URL" | sed -n 's|.*://[^:]*:\([^@]*\)@.*|\1|p') +DB_HOST=$(echo "$DATABASE_URL" | sed -n 's|.*@\([^:]*\):.*|\1|p') +DB_PORT=$(echo "$DATABASE_URL" | sed -n 's|.*:\([0-9]*\)/.*|\1|p') +DB_NAME=$(echo "$DATABASE_URL" | sed -n 's|.*/\([^?]*\).*|\1|p') + +PGPASSWORD="$DB_PASS" psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" \ + -f "$SCRIPT_DIR/fixtures/seed.sql" + +# --- Playwright --- +echo "=== Installing Playwright dependencies ===" +cd "$SCRIPT_DIR" +npm install --silent + +echo "=== Running Playwright tests ===" +npx playwright test "$@" +EXIT_CODE=$? + +exit $EXIT_CODE diff --git a/tests/ui_e2e_tests/tests/roles/admin-viewer.spec.ts b/tests/ui_e2e_tests/tests/roles/admin-viewer.spec.ts new file mode 100644 index 00000000000..6e29d7c22e2 --- /dev/null +++ b/tests/ui_e2e_tests/tests/roles/admin-viewer.spec.ts @@ -0,0 +1,10 @@ +import { test, expect } from "@playwright/test"; +import { Role } from "../../constants"; +import { loginAs } from "../../helpers/login"; + +test.describe("Admin Viewer Role", () => { + test("Should not see Test Key page", async ({ page }) => { + await loginAs(page, Role.ProxyAdminViewer); + await expect(page.getByRole("menuitem", { name: "Test Key" })).not.toBeVisible(); + }); +}); diff --git a/tests/ui_e2e_tests/tests/roles/internal-user.spec.ts b/tests/ui_e2e_tests/tests/roles/internal-user.spec.ts new file mode 100644 index 00000000000..4cb39a1ce7e --- /dev/null +++ b/tests/ui_e2e_tests/tests/roles/internal-user.spec.ts @@ -0,0 +1,12 @@ +import { test, expect } from "@playwright/test"; +import { Page, Role } from "../../constants"; +import { loginAs } from "../../helpers/login"; +import { navigateToPage } from "../../helpers/navigation"; + +test.describe("Internal User Role", () => { + test("Should not see litellm-dashboard keys", async ({ page }) => { + await loginAs(page, Role.InternalUser); + await navigateToPage(page, Page.ApiKeys); + await expect(page.getByText("litellm-dashboard")).not.toBeVisible(); + }); +}); diff --git a/tests/ui_e2e_tests/tests/roles/internal-viewer.spec.ts b/tests/ui_e2e_tests/tests/roles/internal-viewer.spec.ts new file mode 100644 index 00000000000..3ca17caff14 --- /dev/null +++ b/tests/ui_e2e_tests/tests/roles/internal-viewer.spec.ts @@ -0,0 +1,28 @@ +import { test, expect } from "@playwright/test"; +import { Page, Role } from "../../constants"; +import { loginAs } from "../../helpers/login"; +import { navigateToPage } from "../../helpers/navigation"; + +test.describe("Internal User Viewer Role", () => { + test("Can only see allowed pages", async ({ page }) => { + await loginAs(page, Role.InternalUserViewer); + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible(); + await expect(page.getByRole("menuitem", { name: "Admin Settings" })).not.toBeVisible(); + }); + + test("Cannot create keys", async ({ page }) => { + await loginAs(page, Role.InternalUserViewer); + await navigateToPage(page, Page.ApiKeys); + await expect(page.getByRole("button", { name: /Create New Key/i })).not.toBeVisible(); + }); + + test("Cannot edit or delete keys", async ({ page }) => { + await loginAs(page, Role.InternalUserViewer); + await navigateToPage(page, Page.ApiKeys); + // Ensure the keys table has loaded before asserting absence of actions + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible(); + await expect(page.getByRole("button", { name: /Edit Key/i })).not.toBeVisible(); + await expect(page.getByRole("button", { name: /Delete Key/i })).not.toBeVisible(); + await expect(page.getByRole("button", { name: /Regenerate Key/i })).not.toBeVisible(); + }); +}); diff --git a/tests/ui_e2e_tests/tests/roles/proxy-admin.spec.ts b/tests/ui_e2e_tests/tests/roles/proxy-admin.spec.ts new file mode 100644 index 00000000000..b94e2aefaa8 --- /dev/null +++ b/tests/ui_e2e_tests/tests/roles/proxy-admin.spec.ts @@ -0,0 +1,21 @@ +import { test, expect } from "@playwright/test"; +import { ADMIN_STORAGE_PATH, Page, Role, users } from "../../constants"; +import { navigateToPage } from "../../helpers/navigation"; + +test.describe("Proxy Admin Role", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("Can create keys", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await expect(page.getByRole("button", { name: /Create New Key/i })).toBeVisible(); + }); + + test("Can list teams via API", async ({ page }) => { + const response = await page.request.get("/team/list", { + headers: { + Authorization: `Bearer ${users[Role.ProxyAdmin].password}`, + }, + }); + expect(response.status()).toBe(200); + }); +}); diff --git a/tests/ui_e2e_tests/tests/roles/team-admin.spec.ts b/tests/ui_e2e_tests/tests/roles/team-admin.spec.ts new file mode 100644 index 00000000000..a12a5a04842 --- /dev/null +++ b/tests/ui_e2e_tests/tests/roles/team-admin.spec.ts @@ -0,0 +1,13 @@ +import { test, expect } from "@playwright/test"; +import { Page, Role } from "../../constants"; +import { loginAs } from "../../helpers/login"; +import { navigateToPage } from "../../helpers/navigation"; + +test.describe("Team Admin Role", () => { + test("Can view team keys but not admin settings", async ({ page }) => { + await loginAs(page, Role.TeamAdmin); + await navigateToPage(page, Page.ApiKeys); + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible(); + await expect(page.getByRole("menuitem", { name: "Admin Settings" })).not.toBeVisible(); + }); +}); diff --git a/tests/ui_e2e_tests/tests/security/login-logout.spec.ts b/tests/ui_e2e_tests/tests/security/login-logout.spec.ts new file mode 100644 index 00000000000..88ce3f1a6d0 --- /dev/null +++ b/tests/ui_e2e_tests/tests/security/login-logout.spec.ts @@ -0,0 +1,18 @@ +import { test, expect } from "@playwright/test"; +import { users, Role } from "../../constants"; + +test.describe("Authentication", () => { + test("Login with valid admin credentials", async ({ page }) => { + await page.goto("/ui/login"); + await page.getByPlaceholder("Enter your username").fill(users[Role.ProxyAdmin].email); + await page.getByPlaceholder("Enter your password").fill(users[Role.ProxyAdmin].password); + await page.getByRole("button", { name: "Login", exact: true }).click(); + await expect(page.getByRole("menuitem", { name: "Virtual Keys" })).toBeVisible(); + }); + + test("Unauthenticated user is redirected to login", async ({ page }) => { + await page.goto("/ui"); + await page.waitForURL(/\/ui\/login/); + await expect(page.getByRole("heading", { name: /Login/i })).toBeVisible(); + }); +}); diff --git a/tests/ui_e2e_tests/tsconfig.json b/tests/ui_e2e_tests/tsconfig.json new file mode 100644 index 00000000000..8d92d3764e5 --- /dev/null +++ b/tests/ui_e2e_tests/tsconfig.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "commonjs", + "strict": true, + "esModuleInterop": true, + "outDir": "./dist", + "rootDir": "." + }, + "include": ["**/*.ts"] +} diff --git a/ui/litellm-dashboard/e2e_tests/constants.ts b/ui/litellm-dashboard/e2e_tests/constants.ts index 58b56af0a2b..dbc73432f65 100644 --- a/ui/litellm-dashboard/e2e_tests/constants.ts +++ b/ui/litellm-dashboard/e2e_tests/constants.ts @@ -1,6 +1,22 @@ +// Storage state paths for each role export const ADMIN_STORAGE_PATH = "admin.storageState.json"; +export const ADMIN_VIEWER_STORAGE_PATH = "adminViewer.storageState.json"; +export const INTERNAL_USER_STORAGE_PATH = "internalUser.storageState.json"; +export const INTERNAL_VIEWER_STORAGE_PATH = "internalViewer.storageState.json"; +export const TEAM_ADMIN_STORAGE_PATH = "teamAdmin.storageState.json"; -export const E2E_UPDATE_LIMITS_KEY_ID_PREFIX = "102c"; -export const E2E_DELETE_KEY_ID_PREFIX = "94a5"; -export const E2E_DELETE_KEY_NAME = "e2eDeleteKey"; -export const E2E_REGENERATE_KEY_ID_PREFIX = "593a"; +// Key aliases for seeded test keys (match seed.sql) +export const E2E_UPDATE_LIMITS_KEY_ALIAS = "e2eUpdateLimitsKey"; +export const E2E_DELETE_KEY_ALIAS = "e2eDeleteKey"; +export const E2E_REGENERATE_KEY_ALIAS = "e2eRegenerateKey"; +export const E2E_INTERNAL_USER_KEY_ALIAS = "e2eInternalUserKey"; +export const E2E_VIEWER_KEY_ALIAS = "e2eViewerKey"; + +// Team identifiers (match seed.sql) +export const E2E_TEAM_CRUD_ID = "e2e-team-crud"; +export const E2E_TEAM_CRUD_ALIAS = "E2E Team CRUD"; +export const E2E_TEAM_DELETE_ID = "e2e-team-delete"; +export const E2E_TEAM_DELETE_ALIAS = "E2E Team Delete"; +export const E2E_TEAM_ORG_ID = "e2e-team-org"; +export const E2E_TEAM_NO_ADMIN_ID = "e2e-team-no-admin"; +export const E2E_TEAM_NO_ADMIN_ALIAS = "E2E Team No Admin"; diff --git a/ui/litellm-dashboard/e2e_tests/fixtures/config.yml b/ui/litellm-dashboard/e2e_tests/fixtures/config.yml new file mode 100644 index 00000000000..438c236b03b --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/fixtures/config.yml @@ -0,0 +1,16 @@ +model_list: + - model_name: fake-openai-gpt-4 + litellm_params: + model: openai/fake-gpt-4 + api_base: os.environ/MOCK_LLM_URL + api_key: fake-key + - model_name: fake-anthropic-claude + litellm_params: + model: openai/fake-claude + api_base: os.environ/MOCK_LLM_URL + api_key: fake-key + +general_settings: + master_key: os.environ/LITELLM_MASTER_KEY + database_url: os.environ/DATABASE_URL + store_prompts_in_spend_logs: true diff --git a/ui/litellm-dashboard/e2e_tests/fixtures/mock_llm_server/server.py b/ui/litellm-dashboard/e2e_tests/fixtures/mock_llm_server/server.py new file mode 100644 index 00000000000..8e92065c696 --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/fixtures/mock_llm_server/server.py @@ -0,0 +1,120 @@ +""" +Mock LLM server for UI e2e tests. +Responds to OpenAI-format endpoints with canned responses. +""" + +import time +import json +import uuid + +import uvicorn +from fastapi import FastAPI, Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import StreamingResponse + + +app = FastAPI(title="Mock LLM Server") +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_methods=["*"], + allow_headers=["*"], +) + + +@app.get("/health") +async def health(): + return {"status": "ok"} + + +@app.get("/v1/models") +@app.get("/models") +async def list_models(): + return { + "object": "list", + "data": [ + {"id": "fake-gpt-4", "object": "model", "owned_by": "mock"}, + {"id": "fake-claude", "object": "model", "owned_by": "mock"}, + ], + } + + +@app.post("/v1/chat/completions") +@app.post("/chat/completions") +async def chat_completions(request: Request): + body = await request.json() + model = body.get("model", "mock-model") + stream = body.get("stream", False) + + response_id = f"chatcmpl-{uuid.uuid4().hex[:12]}" + created = int(time.time()) + + if stream: + + async def stream_generator(): + chunk = { + "id": response_id, + "object": "chat.completion.chunk", + "created": created, + "model": model, + "choices": [ + { + "index": 0, + "delta": { + "role": "assistant", + "content": "This is a mock response.", + }, + "finish_reason": None, + } + ], + } + yield f"data: {json.dumps(chunk)}\n\n" + + done_chunk = { + "id": response_id, + "object": "chat.completion.chunk", + "created": created, + "model": model, + "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}], + } + yield f"data: {json.dumps(done_chunk)}\n\n" + yield "data: [DONE]\n\n" + + return StreamingResponse(stream_generator(), media_type="text/event-stream") + + return { + "id": response_id, + "object": "chat.completion", + "created": created, + "model": model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "This is a mock response."}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 10, "completion_tokens": 8, "total_tokens": 18}, + } + + +@app.post("/v1/embeddings") +@app.post("/embeddings") +async def embeddings(request: Request): + body = await request.json() + inputs = body.get("input", [""]) + if isinstance(inputs, str): + inputs = [inputs] + return { + "object": "list", + "data": [ + {"object": "embedding", "index": i, "embedding": [0.0] * 1536} + for i in range(len(inputs)) + ], + "model": body.get("model", "mock-embedding"), + "usage": {"prompt_tokens": 5, "total_tokens": 5}, + } + + +if __name__ == "__main__": + uvicorn.run(app, host="127.0.0.1", port=8090) diff --git a/ui/litellm-dashboard/e2e_tests/fixtures/seed.sql b/ui/litellm-dashboard/e2e_tests/fixtures/seed.sql new file mode 100644 index 00000000000..91312e66ce0 --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/fixtures/seed.sql @@ -0,0 +1,84 @@ +-- E2E Test Seed Data +-- Idempotent: deletes all e2e-* rows then re-inserts deterministic data. + +-- 1. Clean up in dependency order +DELETE FROM "LiteLLM_TeamMembership" WHERE "user_id" LIKE 'e2e-%'; +DELETE FROM "LiteLLM_VerificationToken" WHERE token LIKE 'e2e-%'; +DELETE FROM "LiteLLM_TeamTable" WHERE "team_id" LIKE 'e2e-%'; +DELETE FROM "LiteLLM_OrganizationTable" WHERE "organization_id" LIKE 'e2e-%'; +DELETE FROM "LiteLLM_UserTable" WHERE "user_id" LIKE 'e2e-%'; +DELETE FROM "LiteLLM_BudgetTable" WHERE "budget_id" LIKE 'e2e-%'; + +-- 2. Budget (created_by and updated_by are NOT NULL) +INSERT INTO "LiteLLM_BudgetTable" ("budget_id", "max_budget", "created_by", "updated_by") +VALUES ('e2e-budget-org', 1000, 'e2e-proxy-admin', 'e2e-proxy-admin'); + +-- 3. Organization (created_by and updated_by are NOT NULL) +INSERT INTO "LiteLLM_OrganizationTable" ( + "organization_id", "organization_alias", "budget_id", + "metadata", "models", "spend", "model_spend", + "created_by", "updated_by" +) VALUES ( + 'e2e-org-main', 'E2E Organization', 'e2e-budget-org', + '{}'::jsonb, ARRAY[]::text[], 0.0, '{}'::jsonb, + 'e2e-proxy-admin', 'e2e-proxy-admin' +); + +-- 4. Users (password hash is scrypt of "test") +INSERT INTO "LiteLLM_UserTable" ("user_id", "user_email", "user_role", "teams", "password") +VALUES + ('e2e-proxy-admin', 'admin@test.local', 'proxy_admin', '{"e2e-team-crud"}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-admin-viewer', 'adminviewer@test.local', 'proxy_admin_viewer', '{}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-internal-user', 'internal@test.local', 'internal_user', '{"e2e-team-crud","e2e-team-org"}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-internal-viewer', 'viewer@test.local', 'internal_user_viewer', '{"e2e-team-crud"}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-team-admin', 'teamadmin@test.local', 'internal_user', '{"e2e-team-crud","e2e-team-delete"}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-invitable-user', 'invitable@test.local', 'internal_user', '{}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'), + ('e2e-removable-member', 'removable@test.local', 'internal_user', '{"e2e-team-crud"}', 'scrypt:MU5CcTAi6rVK1HfY1rVPEWq6r4sxg837eq9dG4n5Q6BhDJ44442+seC6LAhLEAYr'); + +-- 5. Teams (members_with_roles is required JSON) +INSERT INTO "LiteLLM_TeamTable" ( + "team_id", "team_alias", "organization_id", "admins", "members", + "members_with_roles", "metadata", "models", "spend", "model_spend", "model_max_budget", "blocked" +) VALUES + ('e2e-team-crud', 'E2E Team CRUD', NULL, + '{"e2e-team-admin"}', + '{"e2e-team-admin","e2e-internal-user","e2e-internal-viewer","e2e-removable-member"}', + '[{"role":"admin","user_id":"e2e-team-admin"},{"role":"user","user_id":"e2e-internal-user"},{"role":"user","user_id":"e2e-internal-viewer"},{"role":"user","user_id":"e2e-removable-member"}]'::jsonb, + '{}'::jsonb, '{"fake-openai-gpt-4","fake-anthropic-claude"}', 0.0, '{}'::jsonb, '{}'::jsonb, false), + + ('e2e-team-delete', 'E2E Team Delete', NULL, + '{"e2e-team-admin"}', '{"e2e-team-admin"}', + '[{"role":"admin","user_id":"e2e-team-admin"}]'::jsonb, + '{}'::jsonb, '{"fake-openai-gpt-4"}', 0.0, '{}'::jsonb, '{}'::jsonb, false), + + ('e2e-team-org', 'E2E Team In Org', 'e2e-org-main', + '{}', '{"e2e-internal-user"}', + '[{"role":"user","user_id":"e2e-internal-user"}]'::jsonb, + '{}'::jsonb, '{"fake-openai-gpt-4"}', 0.0, '{}'::jsonb, '{}'::jsonb, false), + + ('e2e-team-no-admin', 'E2E Team No Admin', NULL, + '{}', '{"e2e-invitable-user"}', + '[{"role":"user","user_id":"e2e-invitable-user"}]'::jsonb, + '{}'::jsonb, '{"fake-openai-gpt-4"}', 0.0, '{}'::jsonb, '{}'::jsonb, false); + +-- 6. Team Memberships (only user_id, team_id, spend — no created_at/updated_at) +INSERT INTO "LiteLLM_TeamMembership" ("user_id", "team_id", "spend") +VALUES + ('e2e-team-admin', 'e2e-team-crud', 0.0), + ('e2e-internal-user', 'e2e-team-crud', 0.0), + ('e2e-internal-viewer', 'e2e-team-crud', 0.0), + ('e2e-removable-member', 'e2e-team-crud', 0.0), + ('e2e-team-admin', 'e2e-team-delete', 0.0), + ('e2e-internal-user', 'e2e-team-org', 0.0), + ('e2e-invitable-user', 'e2e-team-no-admin', 0.0); + +-- 7. Verification Tokens (API Keys) +INSERT INTO "LiteLLM_VerificationToken" ( + "token", "key_name", "key_alias", "user_id", "team_id", + "models", "spend", "max_budget", "expires", "metadata" +) VALUES + ('e2e-key-update-limits', 'sk-e2e-update', 'e2eUpdateLimitsKey', 'e2e-proxy-admin', 'e2e-team-crud', '{"fake-openai-gpt-4"}', 0.0, NULL, NULL, '{}'::jsonb), + ('e2e-key-delete', 'sk-e2e-delete', 'e2eDeleteKey', 'e2e-proxy-admin', 'e2e-team-crud', '{"fake-openai-gpt-4"}', 0.0, NULL, NULL, '{}'::jsonb), + ('e2e-key-regenerate', 'sk-e2e-regen', 'e2eRegenerateKey', 'e2e-proxy-admin', 'e2e-team-crud', '{"fake-openai-gpt-4"}', 0.0, NULL, NULL, '{}'::jsonb), + ('e2e-key-internal-user', 'sk-e2e-internal', 'e2eInternalUserKey', 'e2e-internal-user', 'e2e-team-crud', '{"fake-openai-gpt-4"}', 0.0, NULL, NULL, '{}'::jsonb), + ('e2e-key-viewer', 'sk-e2e-viewer', 'e2eViewerKey', 'e2e-internal-viewer', NULL, '{"fake-openai-gpt-4"}', 0.0, NULL, NULL, '{}'::jsonb); diff --git a/ui/litellm-dashboard/e2e_tests/fixtures/users.ts b/ui/litellm-dashboard/e2e_tests/fixtures/users.ts index d1f1eab00e5..7d6d356cefb 100644 --- a/ui/litellm-dashboard/e2e_tests/fixtures/users.ts +++ b/ui/litellm-dashboard/e2e_tests/fixtures/users.ts @@ -1,10 +1,38 @@ -import { Role } from "./roles"; +export enum Role { + ProxyAdmin = "proxy_admin", + ProxyAdminViewer = "proxy_admin_viewer", + InternalUser = "internal_user", + InternalUserViewer = "internal_user_viewer", + TeamAdmin = "team_admin", +} -const isCI = !!process.env.CI; - -export const users = { +export const users: Record = { [Role.ProxyAdmin]: { email: "admin", - password: isCI ? "gm" : "sk-1234", + password: process.env.LITELLM_MASTER_KEY || "sk-1234", + }, + [Role.ProxyAdminViewer]: { + email: "adminviewer@test.local", + password: "test", + }, + [Role.InternalUser]: { + email: "internal@test.local", + password: "test", + }, + [Role.InternalUserViewer]: { + email: "viewer@test.local", + password: "test", + }, + [Role.TeamAdmin]: { + email: "teamadmin@test.local", + password: "test", }, }; + +export const STORAGE_PATHS: Record = { + [Role.ProxyAdmin]: "admin.storageState.json", + [Role.ProxyAdminViewer]: "adminViewer.storageState.json", + [Role.InternalUser]: "internalUser.storageState.json", + [Role.InternalUserViewer]: "internalViewer.storageState.json", + [Role.TeamAdmin]: "teamAdmin.storageState.json", +}; diff --git a/ui/litellm-dashboard/e2e_tests/globalSetup.ts b/ui/litellm-dashboard/e2e_tests/globalSetup.ts index 44d50a49af5..6ff5522244a 100644 --- a/ui/litellm-dashboard/e2e_tests/globalSetup.ts +++ b/ui/litellm-dashboard/e2e_tests/globalSetup.ts @@ -1,17 +1,40 @@ -import { chromium } from "@playwright/test"; -import { users } from "./fixtures/users"; -import { Role } from "./fixtures/roles"; +import { chromium, expect } from "@playwright/test"; +import { users, Role, STORAGE_PATHS } from "./fixtures/users"; +import * as fs from "fs"; async function globalSetup() { const browser = await chromium.launch(); - const page = await browser.newPage(); - await page.goto("http://localhost:4000/ui/login"); - await page.getByPlaceholder("Enter your username").fill(users[Role.ProxyAdmin].email); - await page.getByPlaceholder("Enter your password").fill(users[Role.ProxyAdmin].password); - const loginButton = page.getByRole("button", { name: "Login", exact: true }); - await loginButton.click(); - await page.waitForSelector("text=Virtual Keys"); - await page.context().storageState({ path: "admin.storageState.json" }); + + for (const role of Object.values(Role)) { + const { email, password } = users[role]; + const storagePath = STORAGE_PATHS[role]; + const page = await browser.newPage(); + try { + await page.goto("http://localhost:4000/ui/login"); + await page.getByPlaceholder("Enter your username").fill(email); + await page.getByPlaceholder("Enter your password").fill(password); + await page.getByRole("button", { name: "Login", exact: true }).click(); + await page.waitForURL( + (url) => url.pathname.startsWith("/ui") && !url.pathname.includes("/login"), + { timeout: 30_000 }, + ); + await expect(page.locator("a", { hasText: "Virtual Keys" })).toBeVisible({ timeout: 30_000 }); + // Dismiss feedback popup if present + const dismiss = page.getByText("Don't ask me again"); + if (await dismiss.isVisible({ timeout: 1_500 }).catch(() => false)) { + await dismiss.click(); + } + await page.context().storageState({ path: storagePath }); + } catch (e) { + fs.mkdirSync("test-results", { recursive: true }); + await page.screenshot({ path: `test-results/global-setup-${role}-failure.png`, fullPage: true }); + console.error(`Global setup failed for role ${role}. Screenshot saved. URL: ${page.url()}`); + throw e; + } finally { + await page.close(); + } + } + await browser.close(); } diff --git a/ui/litellm-dashboard/e2e_tests/helpers/navigation.ts b/ui/litellm-dashboard/e2e_tests/helpers/navigation.ts index 919e516b35b..3eb0dc9b242 100644 --- a/ui/litellm-dashboard/e2e_tests/helpers/navigation.ts +++ b/ui/litellm-dashboard/e2e_tests/helpers/navigation.ts @@ -1,12 +1,25 @@ import { Page } from "../fixtures/pages"; -import { Page as PlaywrightPage } from "@playwright/test"; +import { Page as PlaywrightPage, expect } from "@playwright/test"; /** * Navigates to a specific page using the page query parameter. - * Uses relative path which will be resolved against the baseURL configured in playwright.config.ts - * @param page - The Playwright page object - * @param pageEnum - The page enum value to navigate to + * Waits for the sidebar to be visible before returning. */ export async function navigateToPage(page: PlaywrightPage, pageEnum: Page): Promise { await page.goto(`/ui?page=${pageEnum}`); + await page.waitForLoadState("networkidle"); + // Dismiss the "Quick feedback" popup if it appears + await dismissFeedbackPopup(page); +} + +/** + * Dismiss the "Quick feedback" popup that may appear on any page. + */ +export async function dismissFeedbackPopup(page: PlaywrightPage): Promise { + const dismissButton = page.getByText("Don't ask me again"); + if (await dismissButton.isVisible({ timeout: 1_500 }).catch(() => false)) { + await dismissButton.click(); + // Wait for the popup to disappear + await expect(dismissButton).not.toBeVisible({ timeout: 2_000 }).catch(() => {}); + } } diff --git a/ui/litellm-dashboard/e2e_tests/playwright.config.ts b/ui/litellm-dashboard/e2e_tests/playwright.config.ts index fd18a1d9bdd..ec4d3a6ddb0 100644 --- a/ui/litellm-dashboard/e2e_tests/playwright.config.ts +++ b/ui/litellm-dashboard/e2e_tests/playwright.config.ts @@ -36,11 +36,6 @@ export default defineConfig({ name: "chromium", use: { ...devices["Desktop Chrome"] }, }, - - { - name: "firefox", - use: { ...devices["Desktop Firefox"] }, - }, ], /* Timeout settings */ diff --git a/ui/litellm-dashboard/e2e_tests/run_e2e.sh b/ui/litellm-dashboard/e2e_tests/run_e2e.sh new file mode 100755 index 00000000000..4e3a47edfbd --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/run_e2e.sh @@ -0,0 +1,189 @@ +#!/usr/bin/env bash +set -euo pipefail + +# ================================================================ +# UI E2E Test Runner (Consolidated) +# Starts postgres, seeds DB, starts mock + proxy, runs Playwright. +# All tests target the proxy on port 4000 (which serves both API +# and UI from the built Next.js static export). +# +# Usage: +# ./run_e2e.sh # Run once +# ./run_e2e.sh --repeat-each=5 # Run each test 5 times +# ./run_e2e.sh --headed # Run with browser visible +# +# In CI (CI=true), expects: +# - PostgreSQL already running on 127.0.0.1:5432 +# - DATABASE_URL already set +# - Python/Poetry already installed +# - Node.js/npx already available +# ================================================================ + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +DASHBOARD_DIR="$(cd "$SCRIPT_DIR/.." && pwd)" +REPO_ROOT="$(cd "$SCRIPT_DIR/../../.." && pwd)" +IS_CI="${CI:-false}" +CONTAINER_NAME="litellm-e2e-postgres-$$" +MOCK_PID="" +PROXY_PID="" + +# --- Ensure common tool paths are available (local dev only) --- +if [ "$IS_CI" = "false" ]; then + for p in /usr/local/bin /opt/homebrew/bin "$HOME/.local/bin" /opt/homebrew/opt/postgresql@14/bin /opt/homebrew/opt/libpq/bin; do + [ -d "$p" ] && export PATH="$p:$PATH" + done + [ -s "$HOME/.nvm/nvm.sh" ] && source "$HOME/.nvm/nvm.sh" +fi + +# --- Cleanup on exit --- +cleanup() { + echo "Cleaning up..." + [ -n "$MOCK_PID" ] && kill "$MOCK_PID" 2>/dev/null || true + [ -n "$PROXY_PID" ] && kill "$PROXY_PID" 2>/dev/null || true + if [ "$IS_CI" = "false" ]; then + docker stop "$CONTAINER_NAME" 2>/dev/null || true + fi + echo "Done." +} +trap cleanup EXIT INT TERM + +# --- Pre-flight checks --- +for cmd in python3 npx poetry; do + command -v "$cmd" >/dev/null 2>&1 || { echo "Error: $cmd not found."; exit 1; } +done + +# --- Database setup --- +if [ "$IS_CI" = "false" ]; then + for cmd in docker psql; do + command -v "$cmd" >/dev/null 2>&1 || { echo "Error: $cmd not found."; exit 1; } + done + for port in 4000 5432 8090; do + if lsof -ti ":$port" >/dev/null 2>&1; then + echo "Error: port $port is in use" + exit 1 + fi + done + + export POSTGRES_USER="e2euser" + export POSTGRES_PASSWORD="$(openssl rand -hex 32)" + export POSTGRES_DB="litellm_e2e" + export DATABASE_URL="postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@127.0.0.1:5432/${POSTGRES_DB}" + + echo "=== Starting PostgreSQL ===" + docker run -d --rm --name "$CONTAINER_NAME" \ + -e POSTGRES_USER -e POSTGRES_PASSWORD -e POSTGRES_DB \ + -p 127.0.0.1:5432:5432 \ + postgres:16 + + echo "Waiting for PostgreSQL..." + for i in $(seq 1 30); do + if PGPASSWORD="$POSTGRES_PASSWORD" pg_isready -h 127.0.0.1 -U "$POSTGRES_USER" -d "$POSTGRES_DB" >/dev/null 2>&1; then + break + fi + sleep 1 + done +else + echo "=== Using CI PostgreSQL service ===" + : "${DATABASE_URL:?DATABASE_URL must be set in CI}" +fi + +# --- Credentials --- +export LITELLM_MASTER_KEY="sk-1234" +export MOCK_LLM_URL="http://127.0.0.1:8090/v1" +export DISABLE_SCHEMA_UPDATE="true" +# Ensure the proxy serves UI at /ui (not behind a subpath) +export SERVER_ROOT_PATH="" +# Prevent logout from redirecting to an external URL +export PROXY_LOGOUT_URL="" + +# --- Rebuild UI from source --- +echo "=== Building UI from source ===" +cd "$DASHBOARD_DIR" +npm install --silent 2>/dev/null || true +npm run build +# Copy the fresh build to the proxy's static UI directory +cp -r "$DASHBOARD_DIR/out/" "$REPO_ROOT/litellm/proxy/_experimental/out/" + +# Restructure HTML files so extensionless routes work (e.g. /ui/login) +# Next.js export produces login.html; the proxy expects login/index.html +find "$REPO_ROOT/litellm/proxy/_experimental/out" -name '*.html' ! -name 'index.html' | while read -r htmlfile; do + target_dir="${htmlfile%.html}" + target_path="$target_dir/index.html" + mkdir -p "$target_dir" + mv "$htmlfile" "$target_path" +done +echo "UI build copied and restructured" + +# --- Python environment --- +echo "=== Setting up Python environment ===" +cd "$REPO_ROOT" +if ! poetry run python3 -c "import prisma" 2>/dev/null; then + echo "Installing Python dependencies (first run)..." + poetry install --with dev,proxy-dev --extras "proxy" --quiet + poetry run pip install nodejs-wheel-binaries 2>/dev/null || true + poetry run prisma generate --schema litellm/proxy/schema.prisma +fi + +echo "=== Pushing Prisma schema to database ===" +poetry run prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss + +# --- Mock LLM server --- +echo "=== Starting mock LLM server ===" +poetry run python3 "$SCRIPT_DIR/fixtures/mock_llm_server/server.py" & +MOCK_PID=$! + +for i in $(seq 1 15); do + if curl -sf http://127.0.0.1:8090/health >/dev/null 2>&1; then break; fi + sleep 1 +done + +# --- LiteLLM proxy --- +echo "=== Starting LiteLLM proxy ===" +cd "$REPO_ROOT" +poetry run python3 -m litellm.proxy.proxy_cli \ + --config "$SCRIPT_DIR/fixtures/config.yml" \ + --port 4000 & +PROXY_PID=$! + +echo "Waiting for proxy..." +PROXY_READY=0 +for i in $(seq 1 180); do + if ! kill -0 "$PROXY_PID" 2>/dev/null; then + echo "Error: proxy process exited unexpectedly" + exit 1 + fi + HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:4000/health -H "Authorization: Bearer $LITELLM_MASTER_KEY" 2>/dev/null || true) + if [ "$HTTP_CODE" = "200" ]; then + PROXY_READY=1 + break + fi + sleep 1 +done +if [ "$PROXY_READY" -ne 1 ]; then + echo "Error: proxy did not become healthy within 180 seconds" + exit 1 +fi +echo "Proxy is ready." + +# --- Seed database --- +echo "=== Seeding database ===" +DB_USER=$(echo "$DATABASE_URL" | sed -n 's|.*://\([^:]*\):.*|\1|p') +DB_PASS=$(echo "$DATABASE_URL" | sed -n 's|.*://[^:]*:\([^@]*\)@.*|\1|p') +DB_HOST=$(echo "$DATABASE_URL" | sed -n 's|.*@\([^:]*\):.*|\1|p') +DB_PORT=$(echo "$DATABASE_URL" | sed -n 's|.*:\([0-9]*\)/.*|\1|p') +DB_NAME=$(echo "$DATABASE_URL" | sed -n 's|.*/\([^?]*\).*|\1|p') + +PGPASSWORD="$DB_PASS" psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" \ + -f "$SCRIPT_DIR/fixtures/seed.sql" + +# --- Playwright --- +echo "=== Installing Playwright dependencies ===" +cd "$DASHBOARD_DIR" +npm install --silent 2>/dev/null || true +npx playwright install chromium --with-deps 2>/dev/null || npx playwright install chromium + +echo "=== Running Playwright tests ===" +npx playwright test --config e2e_tests/playwright.config.ts "$@" +EXIT_CODE=$? + +exit $EXIT_CODE diff --git a/ui/litellm-dashboard/e2e_tests/tests/keys/createKey.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/keys/createKey.spec.ts deleted file mode 100644 index 682d1a1b45f..00000000000 --- a/ui/litellm-dashboard/e2e_tests/tests/keys/createKey.spec.ts +++ /dev/null @@ -1,22 +0,0 @@ -import { test, expect } from "@playwright/test"; -import { ADMIN_STORAGE_PATH } from "../../constants"; -import { Page } from "../../fixtures/pages"; -import { navigateToPage } from "../../helpers/navigation"; - -test.describe("Create Key", () => { - test.use({ storageState: ADMIN_STORAGE_PATH }); - - test("Able to create a key with all team models", async ({ page }) => { - await navigateToPage(page, Page.ApiKeys); - await expect(page.getByRole("button", { name: "Next" })).toBeVisible(); - await page.getByRole("button", { name: "+ Create New Key" }).click(); - await page.getByTestId("base-input").click(); - await page.getByTestId("base-input").fill("e2eUITestingCreateKeyAllTeamModels"); - await page.locator(".ant-select-selection-overflow").click(); - await page.getByText("All Team Models").click(); - await page.getByRole("combobox", { name: /models/i }).press("Escape"); - await page.getByRole("button", { name: "Create Key" }).click(); - await page.keyboard.press("Escape"); - await expect(page.getByText("e2eUITestingCreateKeyAllTeamModels")).toBeVisible(); - }); -}); diff --git a/ui/litellm-dashboard/e2e_tests/tests/keys/deleteKey.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/keys/deleteKey.spec.ts deleted file mode 100644 index a5841316251..00000000000 --- a/ui/litellm-dashboard/e2e_tests/tests/keys/deleteKey.spec.ts +++ /dev/null @@ -1,25 +0,0 @@ -import { test, expect } from "@playwright/test"; -import { ADMIN_STORAGE_PATH, E2E_DELETE_KEY_ID_PREFIX, E2E_DELETE_KEY_NAME } from "../../constants"; -import { Page } from "../../fixtures/pages"; -import { navigateToPage } from "../../helpers/navigation"; - -test.describe("Delete Key", () => { - test.use({ storageState: ADMIN_STORAGE_PATH }); - - test("Able to delete a key", async ({ page }) => { - await navigateToPage(page, Page.ApiKeys); - await expect(page.getByRole("button", { name: "Next" })).toBeVisible(); - await page - .locator("button", { - hasText: E2E_DELETE_KEY_ID_PREFIX, - }) - .click(); - await page.getByRole("button", { name: "Delete Key" }).click(); - await page.getByRole("textbox", { name: E2E_DELETE_KEY_NAME }).click(); - await page.getByRole("textbox", { name: E2E_DELETE_KEY_NAME }).fill(E2E_DELETE_KEY_NAME); - const deleteButton = page.getByRole("button", { name: "Delete", exact: true }); - await expect(deleteButton).toBeEnabled(); - await deleteButton.click(); - await expect(page.getByText("Key deleted successfully")).toBeVisible(); - }); -}); diff --git a/ui/litellm-dashboard/e2e_tests/tests/keys/regenerateKey.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/keys/regenerateKey.spec.ts deleted file mode 100644 index 0188a4f81ce..00000000000 --- a/ui/litellm-dashboard/e2e_tests/tests/keys/regenerateKey.spec.ts +++ /dev/null @@ -1,21 +0,0 @@ -import { test, expect } from "@playwright/test"; -import { ADMIN_STORAGE_PATH, E2E_REGENERATE_KEY_ID_PREFIX } from "../../constants"; -import { Page } from "../../fixtures/pages"; -import { navigateToPage } from "../../helpers/navigation"; - -test.describe("Regenerate Key", () => { - test.use({ storageState: ADMIN_STORAGE_PATH }); - - test("Able to regenerate a key", async ({ page }) => { - await navigateToPage(page, Page.ApiKeys); - await expect(page.getByRole("button", { name: "Next" })).toBeVisible(); - await page - .locator("button", { - hasText: E2E_REGENERATE_KEY_ID_PREFIX, - }) - .click(); - await page.getByRole("button", { name: "Regenerate Key" }).click(); - await page.getByRole("button", { name: "Regenerate", exact: true }).click(); - await expect(page.getByText("Virtual Key regenerated")).toBeVisible(); - }); -}); diff --git a/ui/litellm-dashboard/e2e_tests/tests/keys/updateKeyLimits.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/keys/updateKeyLimits.spec.ts deleted file mode 100644 index 6cae36272ab..00000000000 --- a/ui/litellm-dashboard/e2e_tests/tests/keys/updateKeyLimits.spec.ts +++ /dev/null @@ -1,27 +0,0 @@ -import { test, expect } from "@playwright/test"; -import { ADMIN_STORAGE_PATH, E2E_UPDATE_LIMITS_KEY_ID_PREFIX } from "../../constants"; -import { Page } from "../../fixtures/pages"; -import { navigateToPage } from "../../helpers/navigation"; - -test.describe("Update Key TPM and RPM Limits", () => { - test.use({ storageState: ADMIN_STORAGE_PATH }); - - test("Able to update a key's TPM and RPM limits", async ({ page }) => { - await navigateToPage(page, Page.ApiKeys); - await expect(page.getByRole("button", { name: "Next" })).toBeVisible(); - await page - .locator("button", { - hasText: E2E_UPDATE_LIMITS_KEY_ID_PREFIX, - }) - .click(); - await page.getByRole("tab", { name: "Settings" }).click(); - await page.getByRole("button", { name: "Edit Settings" }).click(); - await page.getByRole("spinbutton", { name: "TPM Limit" }).click(); - await page.getByRole("spinbutton", { name: "TPM Limit" }).fill("123"); - await page.getByRole("spinbutton", { name: "RPM Limit" }).click(); - await page.getByRole("spinbutton", { name: "RPM Limit" }).fill("456"); - await page.getByRole("button", { name: "Save Changes" }).click(); - await expect(page.getByRole("paragraph").filter({ hasText: "TPM: 123" })).toBeVisible(); - await expect(page.getByRole("paragraph").filter({ hasText: "RPM: 456" })).toBeVisible(); - }); -}); diff --git a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts new file mode 100644 index 00000000000..aba37e25be3 --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts @@ -0,0 +1,124 @@ +import { test, expect } from "@playwright/test"; +import { + ADMIN_STORAGE_PATH, + E2E_DELETE_KEY_ALIAS, + E2E_REGENERATE_KEY_ALIAS, + E2E_UPDATE_LIMITS_KEY_ALIAS, + E2E_INTERNAL_USER_KEY_ALIAS, + E2E_TEAM_CRUD_ALIAS, +} from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { navigateToPage, dismissFeedbackPopup } from "../../helpers/navigation"; + +test.describe("Proxy Admin - Keys", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("Create a key in a team", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + // Click "+ Create New Key" button + await page.getByRole("button", { name: /Create New Key/i }).click(); + + // Wait for the key creation modal + await expect(page.getByText("Key Ownership")).toBeVisible({ timeout: 10_000 }); + + // Fill key name (has data-testid="base-input" in the built UI) + const keyName = `e2e-admin-key-${Date.now()}`; + await page.getByTestId("base-input").fill(keyName); + + // Select team — the team dropdown has placeholder "Search or select a team" + const teamSelect = page.locator(".ant-select", { hasText: "Search or select a team" }); + await teamSelect.click(); + await page.keyboard.type(E2E_TEAM_CRUD_ALIAS); + await page.locator(".ant-select-dropdown:visible").getByText(E2E_TEAM_CRUD_ALIAS).first().click(); + + // Select models + await page.locator(".ant-select-selection-overflow").click(); + await page.locator(".ant-select-dropdown:visible").getByText("All Team Models").click(); + await page.keyboard.press("Escape"); + + // Submit + await page.getByRole("button", { name: "Create Key", exact: true }).click(); + + // Success shows "Save your Key" in a second dialog + await expect(page.getByText("Save your Key")).toBeVisible({ timeout: 10_000 }); + await page.keyboard.press("Escape"); + + // Verify the new key appears in the table + await expect(page.getByText(keyName)).toBeVisible({ timeout: 10_000 }); + }); + + test("Regenerate key", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + // Key IDs are rendered as buttons in the table + const keyRow = page.locator("tr", { hasText: E2E_REGENERATE_KEY_ALIAS }); + await expect(keyRow).toBeVisible({ timeout: 10_000 }); + await keyRow.locator("button").first().click(); + + await expect(page.getByText("Back to Keys")).toBeVisible({ timeout: 10_000 }); + + await page.getByRole("button", { name: "Regenerate Key" }).click(); + await page.getByRole("button", { name: "Regenerate", exact: true }).click(); + + // Success shows "Copy Virtual Key" button in the regenerated key dialog + await expect(page.getByText("Copy Virtual Key")).toBeVisible({ timeout: 10_000 }); + }); + + test("Update key TPM and RPM limits", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + const keyRow = page.locator("tr", { hasText: E2E_UPDATE_LIMITS_KEY_ALIAS }); + await expect(keyRow).toBeVisible({ timeout: 10_000 }); + await keyRow.locator("button").first().click(); + + await expect(page.getByText("Back to Keys")).toBeVisible({ timeout: 10_000 }); + + await page.getByRole("tab", { name: "Settings" }).click(); + await page.getByRole("button", { name: "Edit Settings" }).click(); + + await page.getByRole("spinbutton", { name: "TPM Limit" }).fill("123"); + await page.getByRole("spinbutton", { name: "RPM Limit" }).fill("456"); + await page.getByRole("button", { name: "Save Changes" }).click(); + + await expect( + page.getByRole("paragraph").filter({ hasText: "TPM: 123" }) + ).toBeVisible({ timeout: 10_000 }); + await expect( + page.getByRole("paragraph").filter({ hasText: "RPM: 456" }) + ).toBeVisible({ timeout: 10_000 }); + }); + + test("Delete key", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + const keyRow = page.locator("tr", { hasText: E2E_DELETE_KEY_ALIAS }); + await expect(keyRow).toBeVisible({ timeout: 10_000 }); + await keyRow.locator("button").first().click(); + + await expect(page.getByText("Back to Keys")).toBeVisible({ timeout: 10_000 }); + + await page.getByRole("button", { name: "Delete Key" }).click(); + + const modal = page.locator(".ant-modal:visible"); + await expect(modal).toBeVisible({ timeout: 5_000 }); + await modal.locator("input").fill(E2E_DELETE_KEY_ALIAS); + + const deleteButton = modal.getByRole("button", { name: "Delete", exact: true }); + await expect(deleteButton).toBeEnabled(); + await deleteButton.click(); + + await expect(page.getByText(/Key deleted/i).first()).toBeVisible({ timeout: 10_000 }); + }); + + test("See internal user keys in team", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + await expect(page.getByText(E2E_INTERNAL_USER_KEY_ALIAS)).toBeVisible({ timeout: 10_000 }); + }); +}); diff --git a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/teams.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/teams.spec.ts new file mode 100644 index 00000000000..a1864b22a43 --- /dev/null +++ b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/teams.spec.ts @@ -0,0 +1,134 @@ +import { test, expect } from "@playwright/test"; +import { + ADMIN_STORAGE_PATH, + E2E_TEAM_CRUD_ID, + E2E_TEAM_DELETE_ALIAS, + E2E_TEAM_NO_ADMIN_ID, + E2E_TEAM_ORG_ID, +} from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { navigateToPage, dismissFeedbackPopup } from "../../helpers/navigation"; + +/** + * Click on a team ID in the table. Team IDs are rendered differently depending + * on the component version — try button first (Tremor Button), fall back to + * clickable span (OldTeams Typography.Text). + */ +async function clickTeamId(page: import("@playwright/test").Page, teamId: string) { + const cell = page.locator("td").filter({ hasText: teamId }).first(); + await expect(cell).toBeVisible({ timeout: 10_000 }); + await cell.click(); + await expect(page.getByText("Back to Teams")).toBeVisible({ timeout: 10_000 }); +} + +test.describe("Proxy Admin - Teams", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("Create a team", async ({ page }) => { + await navigateToPage(page, Page.Teams); + await dismissFeedbackPopup(page); + + const uniqueAlias = `e2e-created-team-${Date.now()}`; + + // Click the Create Team button — accessible name includes "Create Team" + await page.getByRole("button", { name: /Create Team/i }).first().click(); + + // Wait for the Create Team modal + const dialog = page.locator(".ant-modal:visible"); + await expect(dialog).toBeVisible({ timeout: 5_000 }); + + // Fill Team Name — the input has id="team_alias" + await dialog.locator("#team_alias").fill(uniqueAlias); + + // Select models — the models multi-select is inside the modal + // Click to open dropdown, select "All Proxy Models" + await dialog.locator(".ant-select-selection-overflow").first().click(); + await page.locator(".ant-select-dropdown:visible").getByText("All Proxy Models").click(); + await page.keyboard.press("Escape"); + + // Submit — click the submit button inside the dialog (not the header button) + await dialog.locator("button[type='submit']").click(); + + // Verify success notification + await expect(page.getByText("Team created").first()).toBeVisible({ timeout: 10_000 }); + }); + + test("Invite a user to a team", async ({ page }) => { + await navigateToPage(page, Page.Teams); + await dismissFeedbackPopup(page); + + await clickTeamId(page, E2E_TEAM_CRUD_ID); + + await page.getByRole("tab", { name: "Members" }).click(); + await page.getByRole("button", { name: /Add Member/i }).click(); + + // Wait for Add Team Member modal + const modal = page.locator(".ant-modal:visible"); + await expect(modal).toBeVisible({ timeout: 5_000 }); + + // The email field is a Select — type to search, then select from dropdown + await modal.locator(".ant-select").first().click(); + await page.keyboard.type("invitable@test.local"); + + // Wait for the option to appear, then select via keyboard (avoids viewport issues) + const emailOption = page.getByRole("option", { name: "invitable@test.local" }).first(); + await expect(emailOption).toBeAttached({ timeout: 10_000 }); + // Use keyboard to select the highlighted option + await page.keyboard.press("Enter"); + + // Submit + await modal.getByRole("button", { name: /Add Member/i }).click(); + + await expect(page.getByText(/member.*added|success/i).first()).toBeVisible({ timeout: 10_000 }); + }); + + test("Edit team member for team proxy admin does not belong to", async ({ page }) => { + await navigateToPage(page, Page.Teams); + await dismissFeedbackPopup(page); + + await clickTeamId(page, E2E_TEAM_NO_ADMIN_ID); + + await page.getByRole("tab", { name: "Members" }).click(); + + await page.getByTestId("edit-member").first().click(); + + const modal = page.locator(".ant-modal:visible"); + await expect(modal).toBeVisible({ timeout: 5_000 }); + await modal.getByRole("button", { name: /Save Changes/i }).click(); + + await expect(page.getByText(/updated|success/i).first()).toBeVisible({ timeout: 10_000 }); + }); + + test("Delete a team", async ({ page }) => { + await navigateToPage(page, Page.Teams); + await dismissFeedbackPopup(page); + + const teamRow = page.locator("tr", { hasText: E2E_TEAM_DELETE_ALIAS }).first(); + await expect(teamRow).toBeVisible({ timeout: 10_000 }); + await teamRow.locator("svg, img").last().click(); + + const modal = page.locator(".ant-modal:visible"); + await expect(modal).toBeVisible({ timeout: 5_000 }); + await modal.locator("input").fill(E2E_TEAM_DELETE_ALIAS); + await modal.getByRole("button", { name: /Force Delete|Delete/i }).click(); + + await expect(teamRow).not.toBeVisible({ timeout: 10_000 }); + }); + + test("Team in org - edit team member", async ({ page }) => { + await navigateToPage(page, Page.Teams); + await dismissFeedbackPopup(page); + + await clickTeamId(page, E2E_TEAM_ORG_ID); + + await page.getByRole("tab", { name: "Members" }).click(); + + await page.getByTestId("edit-member").first().click(); + + const modal = page.locator(".ant-modal:visible"); + await expect(modal).toBeVisible({ timeout: 5_000 }); + await modal.getByRole("button", { name: /Save Changes/i }).click(); + + await expect(page.getByText(/updated|success/i).first()).toBeVisible({ timeout: 10_000 }); + }); +}); diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json index dfad2a1e795..4392fd99d90 100644 --- a/ui/litellm-dashboard/package.json +++ b/ui/litellm-dashboard/package.json @@ -16,6 +16,7 @@ "format:check": "prettier --check .", "e2e": "playwright test --config e2e_tests/playwright.config.ts", "e2e:ui": "playwright test --ui --config e2e_tests/playwright.config.ts", + "e2e:psql": "../../tests/ui_e2e_tests/run_e2e.sh", "knip": "knip", "knip:fix": "knip --fix" }, diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.test.tsx index e1b3b358300..3c5101fc2dc 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.test.tsx @@ -131,7 +131,7 @@ describe("ModelsAndEndpointsView", () => { , ); expect(await findByText("Model Management", {}, { timeout: 10000 })).toBeInTheDocument(); - }, 15000); + }); it("should show Missing provider banner by default", async () => { localStorageMock.clear(); @@ -149,7 +149,7 @@ describe("ModelsAndEndpointsView", () => { , ); expect(await findByText("Missing a provider?", {}, { timeout: 10000 })).toBeInTheDocument(); - }, 15000); + }); it("should hide Missing provider banner when dismiss button is clicked and persist to localStorage", async () => { localStorageMock.clear(); @@ -180,7 +180,7 @@ describe("ModelsAndEndpointsView", () => { // LocalStorage should be updated expect(localStorageMock.getItem("hideMissingProviderBanner")).toBe("true"); - }, 15000); + }); it("should show compact Request Provider button when banner is dismissed", async () => { // Set localStorage to hide banner @@ -209,7 +209,7 @@ describe("ModelsAndEndpointsView", () => { const requestProviderLinks = document.querySelectorAll('a[href="https://models.litellm.ai/?request=true"]'); // There should be a compact button when banner is hidden expect(requestProviderLinks.length).toBeGreaterThan(0); - }, 15000); + }); it("should pass model IDs (not model names) to HealthCheckComponent as all_models_on_proxy", async () => { mockHealthCheckComponent.mockClear(); diff --git a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx index 4533d99b4a0..f881065d4ab 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx @@ -80,6 +80,7 @@ const TeamsTable = ({ size="xs" variant="light" className="font-mono text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs font-normal px-2 py-0.5 text-left overflow-hidden truncate max-w-[200px]" + data-testid="team-id-cell" onClick={() => { // Add click handler setSelectedTeamId(team.team_id); diff --git a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/modals/CreateTeamModal.tsx b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/modals/CreateTeamModal.tsx index b4f99f5ca8b..4b7b48f465f 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/modals/CreateTeamModal.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/modals/CreateTeamModal.tsx @@ -312,7 +312,7 @@ const CreateTeamModal = ({ }, ]} > - + - + All Proxy Models @@ -761,7 +761,7 @@ const CreateTeamModal = ({
- Create Team + Create Team
diff --git a/ui/litellm-dashboard/src/app/login/LoginPage.tsx b/ui/litellm-dashboard/src/app/login/LoginPage.tsx index 202820a11a2..7ad3e32ef5c 100644 --- a/ui/litellm-dashboard/src/app/login/LoginPage.tsx +++ b/ui/litellm-dashboard/src/app/login/LoginPage.tsx @@ -46,10 +46,17 @@ function LoginPageContent() { // Cross-origin SSO: worker redirected back with a single-use code. // Exchange it for the JWT via the worker's /v3/login/exchange endpoint. const params = new URLSearchParams(window.location.search); - const ssoCode = params.get("code"); + const rawSsoCode = params.get("code"); + // Validate the SSO code is a plausible OAuth authorization code (alphanumeric + // plus common URL-safe chars) so that arbitrary user input cannot trigger the + // exchange endpoint. + const ssoCode = + rawSsoCode && /^[a-zA-Z0-9._~+/=-]+$/.test(rawSsoCode) ? rawSsoCode : null; if (ssoCode) { - // codeql[js/user-controlled-bypass] - const workerUrl = localStorage.getItem("litellm_worker_url"); + const rawWorkerUrl = localStorage.getItem("litellm_worker_url"); + // Validate the stored worker URL: only allow http(s) URLs. + const workerUrl = + rawWorkerUrl && /^https?:\/\/.+/.test(rawWorkerUrl) ? rawWorkerUrl : null; exchangeLoginCode(ssoCode, workerUrl).then(() => { params.delete("code"); const cleanSearch = params.toString(); diff --git a/ui/litellm-dashboard/src/app/mcp/oauth/callback/page.tsx b/ui/litellm-dashboard/src/app/mcp/oauth/callback/page.tsx index 0c4cad8cb0b..0539d6d8f19 100644 --- a/ui/litellm-dashboard/src/app/mcp/oauth/callback/page.tsx +++ b/ui/litellm-dashboard/src/app/mcp/oauth/callback/page.tsx @@ -2,6 +2,7 @@ import { Suspense, useEffect, useMemo } from "react"; import { useSearchParams } from "next/navigation"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; // Written to sessionStorage so both the admin hook (useMcpOAuthFlow) and the // user hook (useUserMcpOAuthFlow) can pick up the result. Each hook reads @@ -52,14 +53,24 @@ const McpOAuthCallbackContent = () => { // Write to both namespace keys (admin and user) so whichever hook is // active can consume the result. sessionStorage only — no localStorage. const serialized = JSON.stringify(payload); - window.sessionStorage.setItem(ADMIN_RESULT_KEY, serialized); - window.sessionStorage.setItem(USER_RESULT_KEY, serialized); + setSecureItem(ADMIN_RESULT_KEY, serialized); + setSecureItem(USER_RESULT_KEY, serialized); } catch (err) { // Silently ignore storage errors } - const returnUrl = window.sessionStorage.getItem(RETURN_URL_STORAGE_KEY); - const destination = returnUrl || resolveDefaultRedirect(); + const returnUrl = getSecureItem(RETURN_URL_STORAGE_KEY); + let destination = resolveDefaultRedirect(); + if (returnUrl) { + try { + const parsed = new URL(returnUrl, window.location.origin); + if (parsed.origin === window.location.origin) { + destination = parsed.href; + } + } catch { + // invalid URL — fall through to default + } + } window.location.replace(destination); }, [payload]); diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx index 746847057f1..a7ae8ae7783 100644 --- a/ui/litellm-dashboard/src/app/page.tsx +++ b/ui/litellm-dashboard/src/app/page.tsx @@ -277,13 +277,18 @@ function CreateKeyPageContent() { // Check for a stored return URL const returnUrl = consumeReturnUrl(); if (returnUrl && isValidReturnUrl(returnUrl)) { + // Inline origin check: only redirect to same-origin URLs to prevent open redirect. + const safeUrl = new URL(returnUrl, window.location.origin); + if (safeUrl.origin !== window.location.origin) { + return; + } const currentUrl = window.location.href; const normalizedReturnUrl = normalizeUrlForCompare(returnUrl); const normalizedCurrentUrl = normalizeUrlForCompare(currentUrl); // Only redirect if the return URL is different from the current URL // This prevents infinite redirect loops if (normalizedReturnUrl !== normalizedCurrentUrl) { - window.location.replace(returnUrl); + window.location.replace(safeUrl.href); } } }, [authLoading, token]); diff --git a/ui/litellm-dashboard/src/components/CreateUserButton.test.tsx b/ui/litellm-dashboard/src/components/CreateUserButton.test.tsx index 9a4659da9d3..03d982ca7c2 100644 --- a/ui/litellm-dashboard/src/components/CreateUserButton.test.tsx +++ b/ui/litellm-dashboard/src/components/CreateUserButton.test.tsx @@ -51,7 +51,7 @@ function renderWithProviders(ui: React.ReactElement) { return render({ui}); } -describe("CreateUserButton", { timeout: 20000 }, () => { +describe("CreateUserButton", () => { beforeEach(() => { vi.clearAllMocks(); mockGetProxyUISettings.mockResolvedValue({ @@ -62,288 +62,296 @@ describe("CreateUserButton", { timeout: 20000 }, () => { }); }); - it("should render the create user form when embedded", () => { - renderWithProviders( - , - ); - expect(screen.getByRole("button", { name: /create user/i })).toBeInTheDocument(); - }); + describe("rendering and visibility", () => { + it("should render the create user form when embedded", () => { + renderWithProviders( + , + ); + expect(screen.getByRole("button", { name: /create user/i })).toBeInTheDocument(); + }); - it("should render the invite user button when not embedded", async () => { - renderWithProviders(); - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + it("should render the invite user button when not embedded", async () => { + renderWithProviders(); + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + }); + + it("should open the invite modal when invite user button is clicked", async () => { + const user = userEvent.setup(); + renderWithProviders(); + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + expect(dialog).toBeInTheDocument(); + expect(within(dialog).getByRole("button", { name: /invite user/i })).toBeInTheDocument(); + }); + + it("should display email invitations info message in embedded mode", () => { + renderWithProviders(); + expect(screen.getByText("Email invitations")).toBeInTheDocument(); + }); + + it("should display user role options when possibleUIRoles is provided", async () => { + const possibleUIRoles = { + proxy_admin: { ui_label: "Admin", description: "Full access" }, + proxy_user: { ui_label: "User", description: "Limited access" }, + }; + renderWithProviders( + , + ); + await userEvent.click(screen.getByRole("combobox", { name: /user role/i })); + expect(screen.getByText("Admin")).toBeInTheDocument(); + expect(screen.getByText("User")).toBeInTheDocument(); + }); + + it("should close modal when cancel is clicked in standalone mode", async () => { + const user = userEvent.setup(); + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); + expect(screen.getByRole("dialog", { name: /invite user/i })).toBeInTheDocument(); + + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + await user.click(within(dialog).getByRole("button", { name: /close/i })); + expect(screen.queryByRole("dialog")).not.toBeInTheDocument(); }); }); - it("should open the invite modal when invite user button is clicked", async () => { - const user = userEvent.setup(); - renderWithProviders(); - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + describe("embedded mode submission", () => { + it("should call userCreateCall when form is submitted in embedded mode", async () => { + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-123" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-1", + user_id: "new-user-123", + has_user_setup_sso: false, + } as any); + + renderWithProviders( + , + ); + + await user.type(screen.getByLabelText(/user email/i), "test@example.com"); + await user.click(screen.getByRole("combobox", { name: /user role/i })); + await user.click(screen.getByText("User")); + await user.click(screen.getByRole("button", { name: /create user/i })); + + await waitFor(() => { + expect(mockUserCreateCall).toHaveBeenCalledWith("token", null, expect.objectContaining({ + user_email: "test@example.com", + user_role: "proxy_user", + })); + }); }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - expect(dialog).toBeInTheDocument(); - expect(within(dialog).getByRole("button", { name: /invite user/i })).toBeInTheDocument(); - }); - it("should display email invitations info message in embedded mode", () => { - renderWithProviders(); - expect(screen.getByText("Email invitations")).toBeInTheDocument(); - }); + it("should call onUserCreated callback when user is created in embedded mode", async () => { + const user = userEvent.setup(); + const onUserCreated = vi.fn(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-456" } }); - it("should display user role options when possibleUIRoles is provided", async () => { - const possibleUIRoles = { - proxy_admin: { ui_label: "Admin", description: "Full access" }, - proxy_user: { ui_label: "User", description: "Limited access" }, - }; - renderWithProviders( - , - ); - await userEvent.click(screen.getByRole("combobox", { name: /user role/i })); - expect(screen.getByText("Admin")).toBeInTheDocument(); - expect(screen.getByText("User")).toBeInTheDocument(); - }); + renderWithProviders( + , + ); - it("should call userCreateCall when form is submitted in embedded mode", async () => { - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-123" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-1", - user_id: "new-user-123", - has_user_setup_sso: false, - } as any); + await user.type(screen.getByLabelText(/user email/i), "embedded@example.com"); + await user.click(screen.getByRole("combobox", { name: /user role/i })); + await user.click(screen.getByText("User")); + await user.click(screen.getByRole("button", { name: /create user/i })); - renderWithProviders( - , - ); + await waitFor(() => { + expect(onUserCreated).toHaveBeenCalledWith("new-user-456"); + }); + }); - await user.type(screen.getByLabelText(/user email/i), "test@example.com"); - await user.click(screen.getByRole("combobox", { name: /user role/i })); - await user.click(screen.getByText("User")); - await user.click(screen.getByRole("button", { name: /create user/i })); + it("should show error notification when user creation fails", async () => { + const user = userEvent.setup(); + mockUserCreateCall.mockRejectedValue({ response: { data: { detail: "Email already exists" } } }); - await waitFor(() => { - expect(mockUserCreateCall).toHaveBeenCalledWith("token", null, expect.objectContaining({ - user_email: "test@example.com", - user_role: "proxy_user", - })); + renderWithProviders( + , + ); + + await user.type(screen.getByLabelText(/user email/i), "duplicate@example.com"); + await user.click(screen.getByRole("combobox", { name: /user role/i })); + await user.click(screen.getByText("User")); + await user.click(screen.getByRole("button", { name: /create user/i })); + + await waitFor(() => { + expect(mockNotificationsManager.fromBackend).toHaveBeenCalledWith("Email already exists"); + }); + }); + + it("should show info notification when making API call", async () => { + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-3", + user_id: "new-user", + has_user_setup_sso: false, + } as any); + + renderWithProviders( + , + ); + + await user.type(screen.getByLabelText(/user email/i), "info@example.com"); + await user.click(screen.getByRole("combobox", { name: /user role/i })); + await user.click(screen.getByText("User")); + await user.click(screen.getByRole("button", { name: /create user/i })); + + await waitFor(() => { + expect(mockNotificationsManager.info).toHaveBeenCalledWith("Making API Call"); + }); }); }); - it("should call onUserCreated callback when user is created in embedded mode", async () => { - const user = userEvent.setup(); - const onUserCreated = vi.fn(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-456" } }); + describe("standalone mode submission", () => { + it("should show success notification when user is created successfully in standalone mode", async () => { + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-789" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-2", + user_id: "new-user-789", + has_user_setup_sso: false, + } as any); - renderWithProviders( - , - ); + renderWithProviders( + , + ); - await user.type(screen.getByLabelText(/user email/i), "embedded@example.com"); - await user.click(screen.getByRole("combobox", { name: /user role/i })); - await user.click(screen.getByText("User")); - await user.click(screen.getByRole("button", { name: /create user/i })); + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - await waitFor(() => { - expect(onUserCreated).toHaveBeenCalledWith("new-user-456"); + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + await user.type(within(dialog).getByLabelText(/user email/i), "standalone@example.com"); + await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); + await user.click(screen.getByText("User")); + await user.click(within(dialog).getByRole("button", { name: /invite user/i })); + + await waitFor(() => { + expect(mockNotificationsManager.success).toHaveBeenCalledWith("API user Created"); + }); + }); + + it("should show onboarding modal when user is created and SSO is disabled", async () => { + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "sso-user" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-sso", + user_id: "sso-user", + has_user_setup_sso: false, + } as any); + + renderWithProviders( + , + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); + + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + await user.type(within(dialog).getByLabelText(/user email/i), "sso@example.com"); + await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); + await user.click(screen.getByText("User")); + await user.click(within(dialog).getByRole("button", { name: /invite user/i })); + + await waitFor(() => { + expect(mockInvitationCreateCall).toHaveBeenCalledWith("token", "sso-user"); + }); + await waitFor(() => { + expect(mockNotificationsManager.success).toHaveBeenCalledWith("API user Created"); + }); }); }); - it("should show success notification when user is created successfully in standalone mode", async () => { - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user-789" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-2", - user_id: "new-user-789", - has_user_setup_sso: false, - } as any); + describe("organizations", () => { + it("should send organizations list in POST body when organizations are selected", async () => { + const { useOrganizations } = await import("@/app/(dashboard)/hooks/organizations/useOrganizations"); + vi.mocked(useOrganizations).mockReturnValue({ + data: [{ organization_id: "org-1", organization_alias: "My Org" }], + isLoading: false, + } as any); - renderWithProviders( - , - ); + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "org-user" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-org", + user_id: "org-user", + has_user_setup_sso: false, + } as any); - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + renderWithProviders( + , + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); + + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + await user.type(within(dialog).getByLabelText(/user email/i), "org@example.com"); + await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); + await user.click(screen.getByText("User")); + + // Select org from the dropdown + const orgSelect = within(dialog).getByRole("combobox", { name: /organization/i }); + await user.click(orgSelect); + await user.click(screen.getByText("My Org (org-1)")); + + await user.click(within(dialog).getByRole("button", { name: /invite user/i })); + + await waitFor(() => { + expect(mockUserCreateCall).toHaveBeenCalledWith("token", null, expect.objectContaining({ + organizations: ["org-1"], + })); + }); }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - await user.type(within(dialog).getByLabelText(/user email/i), "standalone@example.com"); - await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); - await user.click(screen.getByText("User")); - await user.click(within(dialog).getByRole("button", { name: /invite user/i })); + it("should not call organizationMemberAddCall after user creation", async () => { + const { useOrganizations } = await import("@/app/(dashboard)/hooks/organizations/useOrganizations"); + vi.mocked(useOrganizations).mockReturnValue({ + data: [{ organization_id: "org-1", organization_alias: "My Org" }], + isLoading: false, + } as any); - await waitFor(() => { - expect(mockNotificationsManager.success).toHaveBeenCalledWith("API user Created"); + const user = userEvent.setup(); + mockUserCreateCall.mockResolvedValue({ data: { user_id: "no-member-add-user" } }); + mockInvitationCreateCall.mockResolvedValue({ + id: "inv-nma", + user_id: "no-member-add-user", + has_user_setup_sso: false, + } as any); + + renderWithProviders( + , + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); + }); + await user.click(screen.getByRole("button", { name: /\+ invite user/i })); + + const dialog = screen.getByRole("dialog", { name: /invite user/i }); + await user.type(within(dialog).getByLabelText(/user email/i), "nomemberadd@example.com"); + await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); + await user.click(screen.getByText("User")); + await user.click(within(dialog).getByRole("button", { name: /invite user/i })); + + await waitFor(() => { + expect(mockUserCreateCall).toHaveBeenCalled(); + }); + expect(mockOrganizationMemberAddCall).not.toHaveBeenCalled(); }); }); - - it("should show error notification when user creation fails", async () => { - const user = userEvent.setup(); - mockUserCreateCall.mockRejectedValue({ response: { data: { detail: "Email already exists" } } }); - - renderWithProviders( - , - ); - - await user.type(screen.getByLabelText(/user email/i), "duplicate@example.com"); - await user.click(screen.getByRole("combobox", { name: /user role/i })); - await user.click(screen.getByText("User")); - await user.click(screen.getByRole("button", { name: /create user/i })); - - await waitFor(() => { - expect(mockNotificationsManager.fromBackend).toHaveBeenCalledWith("Email already exists"); - }); - }); - - it("should show info notification when making API call", async () => { - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "new-user" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-3", - user_id: "new-user", - has_user_setup_sso: false, - } as any); - - renderWithProviders( - , - ); - - await user.type(screen.getByLabelText(/user email/i), "info@example.com"); - await user.click(screen.getByRole("combobox", { name: /user role/i })); - await user.click(screen.getByText("User")); - await user.click(screen.getByRole("button", { name: /create user/i })); - - await waitFor(() => { - expect(mockNotificationsManager.info).toHaveBeenCalledWith("Making API Call"); - }); - }); - - it("should close modal when cancel is clicked in standalone mode", async () => { - const user = userEvent.setup(); - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); - }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - expect(screen.getByRole("dialog", { name: /invite user/i })).toBeInTheDocument(); - - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - await user.click(within(dialog).getByRole("button", { name: /close/i })); - expect(screen.queryByRole("dialog")).not.toBeInTheDocument(); - }); - - it("should show onboarding modal when user is created and SSO is disabled", async () => { - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "sso-user" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-sso", - user_id: "sso-user", - has_user_setup_sso: false, - } as any); - - renderWithProviders( - , - ); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); - }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - await user.type(within(dialog).getByLabelText(/user email/i), "sso@example.com"); - await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); - await user.click(screen.getByText("User")); - await user.click(within(dialog).getByRole("button", { name: /invite user/i })); - - await waitFor(() => { - expect(mockInvitationCreateCall).toHaveBeenCalledWith("token", "sso-user"); - }); - await waitFor(() => { - expect(mockNotificationsManager.success).toHaveBeenCalledWith("API user Created"); - }); - }); - - it("should send organizations list in POST body when organizations are selected", async () => { - const { useOrganizations } = await import("@/app/(dashboard)/hooks/organizations/useOrganizations"); - vi.mocked(useOrganizations).mockReturnValue({ - data: [{ organization_id: "org-1", organization_alias: "My Org" }], - isLoading: false, - } as any); - - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "org-user" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-org", - user_id: "org-user", - has_user_setup_sso: false, - } as any); - - renderWithProviders( - , - ); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); - }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - await user.type(within(dialog).getByLabelText(/user email/i), "org@example.com"); - await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); - await user.click(screen.getByText("User")); - - // Select org from the dropdown - const orgSelect = within(dialog).getByRole("combobox", { name: /organization/i }); - await user.click(orgSelect); - await user.click(screen.getByText("My Org (org-1)")); - - await user.click(within(dialog).getByRole("button", { name: /invite user/i })); - - await waitFor(() => { - expect(mockUserCreateCall).toHaveBeenCalledWith("token", null, expect.objectContaining({ - organizations: ["org-1"], - })); - }); - }); - - it("should not call organizationMemberAddCall after user creation", async () => { - const { useOrganizations } = await import("@/app/(dashboard)/hooks/organizations/useOrganizations"); - vi.mocked(useOrganizations).mockReturnValue({ - data: [{ organization_id: "org-1", organization_alias: "My Org" }], - isLoading: false, - } as any); - - const user = userEvent.setup(); - mockUserCreateCall.mockResolvedValue({ data: { user_id: "no-member-add-user" } }); - mockInvitationCreateCall.mockResolvedValue({ - id: "inv-nma", - user_id: "no-member-add-user", - has_user_setup_sso: false, - } as any); - - renderWithProviders( - , - ); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /\+ invite user/i })).toBeInTheDocument(); - }); - await user.click(screen.getByRole("button", { name: /\+ invite user/i })); - - const dialog = screen.getByRole("dialog", { name: /invite user/i }); - await user.type(within(dialog).getByLabelText(/user email/i), "nomemberadd@example.com"); - await user.click(within(dialog).getByRole("combobox", { name: /global proxy role/i })); - await user.click(screen.getByText("User")); - await user.click(within(dialog).getByRole("button", { name: /invite user/i })); - - await waitFor(() => { - expect(mockUserCreateCall).toHaveBeenCalled(); - }); - expect(mockOrganizationMemberAddCall).not.toHaveBeenCalled(); - }); }); diff --git a/ui/litellm-dashboard/src/components/OldTeams.test.tsx b/ui/litellm-dashboard/src/components/OldTeams.test.tsx index 651d1495c61..4b89820bad6 100644 --- a/ui/litellm-dashboard/src/components/OldTeams.test.tsx +++ b/ui/litellm-dashboard/src/components/OldTeams.test.tsx @@ -843,7 +843,7 @@ describe("OldTeams - access_group_ids in team create", () => { }), ); }); - }, { timeout: 30000 }); + }); }); describe("OldTeams - models dropdown options", () => { diff --git a/ui/litellm-dashboard/src/components/OldTeams.tsx b/ui/litellm-dashboard/src/components/OldTeams.tsx index 76dd6abbe60..8349e271b89 100644 --- a/ui/litellm-dashboard/src/components/OldTeams.tsx +++ b/ui/litellm-dashboard/src/components/OldTeams.tsx @@ -695,6 +695,7 @@ const Teams: React.FC = ({ className="text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs cursor-pointer" style={{ fontSize: 14, padding: "1px 8px" }} onClick={() => setSelectedTeamId(record.team_id)} + data-testid="team-id-cell" > {id} @@ -898,6 +899,7 @@ const Teams: React.FC = ({ icon={} onClick={() => setIsTeamModalVisible(true)} style={{ marginTop: 16 }} + data-testid="create-team-button" > Create Team @@ -1041,7 +1043,7 @@ const Teams: React.FC = ({ {canCreateOrManageTeams(userRole, userID, organizations) && ( - )} @@ -1078,7 +1080,7 @@ const Teams: React.FC = ({ }, ]} > - + {(() => { const adminOrgs = getAdminOrganizations(userRole, userID, organizations); @@ -1567,7 +1569,7 @@ const Teams: React.FC = ({
- +
diff --git a/ui/litellm-dashboard/src/components/add_model/add_model_tab.test.tsx b/ui/litellm-dashboard/src/components/add_model/add_model_tab.test.tsx index 197bcd6569f..0a8d2d9124e 100644 --- a/ui/litellm-dashboard/src/components/add_model/add_model_tab.test.tsx +++ b/ui/litellm-dashboard/src/components/add_model/add_model_tab.test.tsx @@ -175,7 +175,7 @@ describe("Add Model Tab", () => { ); expect(await screen.findByRole("tab", { name: "Add Model" })).toBeInTheDocument(); - }, 10000); // This test is flaky, adding a timeout until we find a better solution + }); it("should display both Add Model and Add Auto Router tabs", async () => { const props = createTestProps(); @@ -269,7 +269,7 @@ describe("Add Model Tab", () => { }, { timeout: 10000 }, ); - }, 15000); // 15 second timeout to allow waitFor to complete + }); it("should show team selection when team-only switch is enabled", async () => { const props = createTestProps(); diff --git a/ui/litellm-dashboard/src/components/common_components/team_dropdown.tsx b/ui/litellm-dashboard/src/components/common_components/team_dropdown.tsx index 844bbfc3eb9..8bdde4771fd 100644 --- a/ui/litellm-dashboard/src/components/common_components/team_dropdown.tsx +++ b/ui/litellm-dashboard/src/components/common_components/team_dropdown.tsx @@ -96,6 +96,7 @@ const TeamDropdown: React.FC = ({ onPopupScroll={handlePopupScroll} loading={isLoading} notFoundContent={isLoading ? : "No teams found"} + data-testid="team-dropdown" popupRender={(menu) => ( <> {menu} diff --git a/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx b/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx index 4427f78bb82..866d7cbec7f 100644 --- a/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx +++ b/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx @@ -150,6 +150,7 @@ const UserSearchModal: React.FC = ({ options={selectedField === "user_email" ? userOptions : []} loading={loading} allowClear + data-testid="member-email-search" /> diff --git a/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.test.tsx b/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.test.tsx new file mode 100644 index 00000000000..888f3066252 --- /dev/null +++ b/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.test.tsx @@ -0,0 +1,208 @@ +import React from "react"; +import { describe, it, expect, vi, beforeEach } from "vitest"; +import { render, screen, waitFor, act, fireEvent } from "@testing-library/react"; +import { Form } from "antd"; +import OAuthFormFields from "./OAuthFormFields"; + +// ── helpers ────────────────────────────────────────────────────────────────── + +/** Minimal Ant Form wrapper so Form.Item registers correctly. */ +const WithForm: React.FC<{ children: React.ReactNode; onFinish?: (values: any) => void }> = ({ + children, + onFinish, +}) => { + const [form] = Form.useForm(); + return ( +
+ {children} + +
+ ); +}; + +// ── tests ───────────────────────────────────────────────────────────────────── + +describe("OAuthFormFields", () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + // ── visibility by flow type ───────────────────────────────────────────────── + + describe("interactive mode (isM2M=false)", () => { + it("renders Token Validation Rules field", () => { + render( + + + , + ); + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + }); + + it("renders Token Storage TTL field", () => { + render( + + + , + ); + expect(screen.getByText("Token Storage TTL (seconds, optional)")).toBeInTheDocument(); + }); + + it("renders standard interactive fields alongside the new fields", () => { + render( + + + , + ); + expect(screen.getByText("Authorization URL (optional)")).toBeInTheDocument(); + expect(screen.getByText("Registration URL (optional)")).toBeInTheDocument(); + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + expect(screen.getByText("Token Storage TTL (seconds, optional)")).toBeInTheDocument(); + }); + }); + + describe("M2M mode (isM2M=true)", () => { + it("does NOT render Token Validation Rules field", () => { + render( + + + , + ); + expect(screen.queryByText("Token Validation Rules (optional)")).not.toBeInTheDocument(); + }); + + it("does NOT render Token Storage TTL field", () => { + render( + + + , + ); + expect(screen.queryByText("Token Storage TTL (seconds, optional)")).not.toBeInTheDocument(); + }); + + it("still renders M2M-specific fields", () => { + render( + + + , + ); + expect(screen.getByText("Client ID")).toBeInTheDocument(); + expect(screen.getByText("Token URL")).toBeInTheDocument(); + }); + }); + + // ── token_validation_json inline JSON validator ────────────────────────────── + + describe("token_validation_json validation", () => { + it("accepts empty value without error", async () => { + const onFinish = vi.fn(); + render( + + + , + ); + + // Leave the textarea empty and submit + const submitBtn = screen.getByRole("button", { name: "Submit" }); + await act(async () => { + fireEvent.click(submitBtn); + }); + + await waitFor(() => { + expect(screen.queryByText("Must be valid JSON")).not.toBeInTheDocument(); + }); + }); + + it("accepts a valid JSON object without error", async () => { + render( + + + , + ); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: '{"organization": "my-org"}' } }); + }); + + const submitBtn = screen.getByRole("button", { name: "Submit" }); + await act(async () => { + fireEvent.click(submitBtn); + }); + + await waitFor(() => { + expect(screen.queryByText("Must be valid JSON")).not.toBeInTheDocument(); + }); + }); + + it("shows 'Must be valid JSON' error for malformed JSON", async () => { + render( + + + , + ); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: "not-valid-json{" } }); + }); + + const submitBtn = screen.getByRole("button", { name: "Submit" }); + await act(async () => { + fireEvent.click(submitBtn); + }); + + await waitFor(() => { + expect(screen.getByText("Must be valid JSON")).toBeInTheDocument(); + }); + }); + + it("shows error for a plain string value (not a JSON object)", async () => { + render( + + + , + ); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + // A bare string is valid JSON but we still want to accept it; only truly + // unparseable text should fail. Bare "hello" is actually invalid JSON + // (no quotes), so it should fail. + fireEvent.change(textarea, { target: { value: "hello" } }); + }); + + const submitBtn = screen.getByRole("button", { name: "Submit" }); + await act(async () => { + fireEvent.click(submitBtn); + }); + + await waitFor(() => { + expect(screen.getByText("Must be valid JSON")).toBeInTheDocument(); + }); + }); + + it("whitespace-only value is treated as empty and passes validation", async () => { + const onFinish = vi.fn(); + render( + + + , + ); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: " " } }); + }); + + const submitBtn = screen.getByRole("button", { name: "Submit" }); + await act(async () => { + fireEvent.click(submitBtn); + }); + + await waitFor(() => { + expect(screen.queryByText("Must be valid JSON")).not.toBeInTheDocument(); + }); + }); + }); +}); diff --git a/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.tsx b/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.tsx index 85487a8a479..4a808ca489d 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/OAuthFormFields.tsx @@ -1,5 +1,5 @@ import React from "react"; -import { Form, Select, Tooltip } from "antd"; +import { Form, Input, InputNumber, Select, Tooltip } from "antd"; import { InfoCircleOutlined } from "@ant-design/icons"; import { Button, TextInput } from "@tremor/react"; import { OAUTH_FLOW } from "./types"; @@ -151,6 +151,50 @@ const OAuthFormFields: React.FC = ({ > + + } + name="token_validation_json" + rules={[ + { + validator: (_: any, value: string) => { + if (!value || value.trim() === "") return Promise.resolve(); + try { + JSON.parse(value); + return Promise.resolve(); + } catch { + return Promise.reject(new Error("Must be valid JSON")); + } + }, + }, + ]} + > + + + + } + name="token_storage_ttl_seconds" + > + + {oauthFlow && (

diff --git a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.test.tsx b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.test.tsx index d49c49446bb..b4251267137 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.test.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.test.tsx @@ -150,151 +150,139 @@ describe("CreateMCPServer", () => { }); }); - it( - "should not require auth value when creating a server with API Key auth type", - { timeout: 15000 }, - async () => { - await selectHttpTransport(); + it("should not require auth value when creating a server with API Key auth type", async () => { + await selectHttpTransport(); - const user = userEvent.setup({ delay: null }); + const user = userEvent.setup({ delay: null }); - // Fill in server name (use id to avoid duplicate placeholder) - const nameInput = getServerNameInput(); - await user.type(nameInput, "Test_Server"); + // Fill in server name (use id to avoid duplicate placeholder) + const nameInput = getServerNameInput(); + await user.type(nameInput, "Test_Server"); - // Fill in URL - const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); - await user.type(urlInput, "https://example.com/mcp"); + // Fill in URL + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await user.type(urlInput, "https://example.com/mcp"); - // Select API Key auth type - await selectAntOption("Authentication", "API Key"); + // Select API Key auth type + await selectAntOption("Authentication", "API Key"); - await waitFor(() => { - expect(screen.getByText("Authentication Value")).toBeInTheDocument(); - }); + await waitFor(() => { + expect(screen.getByText("Authentication Value")).toBeInTheDocument(); + }); - // Leave auth value empty and submit - vi.mocked(networking.createMCPServer).mockResolvedValue({ - server_id: "new-server-1", - server_name: "Test_Server", - alias: "Test_Server", - url: "https://example.com/mcp", - transport: "http", - auth_type: "api_key", - created_at: "2024-01-01T00:00:00Z", - created_by: "user-1", - updated_at: "2024-01-01T00:00:00Z", - updated_by: "user-1", - }); + // Leave auth value empty and submit + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-1", + server_name: "Test_Server", + alias: "Test_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "api_key", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); - const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); - await act(async () => { - fireEvent.click(submitButton); - }); + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); - // The form should submit without validation error on auth_value - await waitFor(() => { - expect(networking.createMCPServer).toHaveBeenCalledTimes(1); - }); - }, - ); + // The form should submit without validation error on auth_value + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); + }); - it( - "should not require auth value when creating a server with Bearer Token auth type", - { timeout: 15000 }, - async () => { - await selectHttpTransport(); + it("should not require auth value when creating a server with Bearer Token auth type", async () => { + await selectHttpTransport(); - const user = userEvent.setup({ delay: null }); + const user = userEvent.setup({ delay: null }); - const nameInput = getServerNameInput(); - await user.type(nameInput, "Test_Server"); + const nameInput = getServerNameInput(); + await user.type(nameInput, "Test_Server"); - const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); - await user.type(urlInput, "https://example.com/mcp"); + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await user.type(urlInput, "https://example.com/mcp"); - await selectAntOption("Authentication", "Bearer Token"); + await selectAntOption("Authentication", "Bearer Token"); - await waitFor(() => { - expect(screen.getByText("Authentication Value")).toBeInTheDocument(); - }); + await waitFor(() => { + expect(screen.getByText("Authentication Value")).toBeInTheDocument(); + }); - // Leave auth value empty and submit - vi.mocked(networking.createMCPServer).mockResolvedValue({ - server_id: "new-server-1", - server_name: "Test_Server", - alias: "Test_Server", - url: "https://example.com/mcp", - transport: "http", - auth_type: "bearer_token", - created_at: "2024-01-01T00:00:00Z", - created_by: "user-1", - updated_at: "2024-01-01T00:00:00Z", - updated_by: "user-1", - }); + // Leave auth value empty and submit + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-1", + server_name: "Test_Server", + alias: "Test_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "bearer_token", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); - const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); - await act(async () => { - fireEvent.click(submitButton); - }); + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); - await waitFor(() => { - expect(networking.createMCPServer).toHaveBeenCalledTimes(1); - }); - }, - ); + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); + }); - it( - "should successfully create a server when auth value is provided", - { timeout: 15000 }, - async () => { - await selectHttpTransport(); + it("should successfully create a server when auth value is provided", async () => { + await selectHttpTransport(); - const user = userEvent.setup({ delay: null }); + const user = userEvent.setup({ delay: null }); - const nameInput = getServerNameInput(); - await user.type(nameInput, "My_Server"); + const nameInput = getServerNameInput(); + await user.type(nameInput, "My_Server"); - const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); - await user.type(urlInput, "https://example.com/mcp"); + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await user.type(urlInput, "https://example.com/mcp"); - await selectAntOption("Authentication", "API Key"); + await selectAntOption("Authentication", "API Key"); - await waitFor(() => { - expect(screen.getByText("Authentication Value")).toBeInTheDocument(); - }); + await waitFor(() => { + expect(screen.getByText("Authentication Value")).toBeInTheDocument(); + }); - // Fill in auth value - const authInput = screen.getByPlaceholderText("Enter token or secret"); - await user.type(authInput, "my-secret-key"); + // Fill in auth value + const authInput = screen.getByPlaceholderText("Enter token or secret"); + await user.type(authInput, "my-secret-key"); - vi.mocked(networking.createMCPServer).mockResolvedValue({ - server_id: "new-server-1", - server_name: "My_Server", - alias: "My_Server", - url: "https://example.com/mcp", - transport: "http", - auth_type: "api_key", - created_at: "2024-01-01T00:00:00Z", - created_by: "user-1", - updated_at: "2024-01-01T00:00:00Z", - updated_by: "user-1", - }); + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-1", + server_name: "My_Server", + alias: "My_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "api_key", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); - const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); - await act(async () => { - fireEvent.click(submitButton); - }); + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); - await waitFor(() => { - expect(networking.createMCPServer).toHaveBeenCalledTimes(1); - }); + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); - const [token, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; - expect(token).toBe("test-token"); - expect(payload.credentials).toEqual({ auth_value: "my-secret-key" }); - }, - ); + const [token, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; + expect(token).toBe("test-token"); + expect(payload.credentials).toEqual({ auth_value: "my-secret-key" }); + }); it("should not show auth value field when None auth type is selected", async () => { await selectHttpTransport(); @@ -307,50 +295,187 @@ describe("CreateMCPServer", () => { }); }); - it( - "should successfully create a server with no auth", - { timeout: 15000 }, - async () => { - await selectHttpTransport(); + it("should successfully create a server with no auth", async () => { + await selectHttpTransport(); - const user = userEvent.setup({ delay: null }); + const user = userEvent.setup({ delay: null }); - const nameInput = getServerNameInput(); - await user.type(nameInput, "No_Auth_Server"); + const nameInput = getServerNameInput(); + await user.type(nameInput, "No_Auth_Server"); - const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); - await user.type(urlInput, "https://example.com/mcp"); + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await user.type(urlInput, "https://example.com/mcp"); - await selectAntOption("Authentication", "None"); + await selectAntOption("Authentication", "None"); - vi.mocked(networking.createMCPServer).mockResolvedValue({ - server_id: "new-server-1", - server_name: "No_Auth_Server", - alias: "No_Auth_Server", - url: "https://example.com/mcp", - transport: "http", - auth_type: "none", - created_at: "2024-01-01T00:00:00Z", - created_by: "user-1", - updated_at: "2024-01-01T00:00:00Z", - updated_by: "user-1", - }); + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-1", + server_name: "No_Auth_Server", + alias: "No_Auth_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "none", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); - const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); - await act(async () => { - fireEvent.click(submitButton); - }); + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); - await waitFor(() => { - expect(networking.createMCPServer).toHaveBeenCalledTimes(1); - }); + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); - const [, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; - expect(payload.auth_type).toBe("none"); - // No credentials should be sent for "none" auth - expect(payload.credentials).toBeUndefined(); - }, - ); + const [, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; + expect(payload.auth_type).toBe("none"); + // No credentials should be sent for "none" auth + expect(payload.credentials).toBeUndefined(); + }); + }); + + describe("when OAuth interactive auth is selected", () => { + /** Select HTTP transport + OAuth auth, then wait for the OAuth form to appear. */ + async function setupOAuthInteractive() { + render(); + await selectAntOption("Transport Type", "Streamable HTTP"); + + await waitFor(() => { + expect(screen.getByPlaceholderText("https://your-mcp-server.com")).toBeInTheDocument(); + }); + + await selectAntOption("Authentication", "OAuth"); + + // Wait for OAuthFormFields to render (OAuth Flow Type selector is the sentinel) + await waitFor(() => { + expect(screen.getByText("OAuth Flow Type")).toBeInTheDocument(); + }); + + // OAuthFormFields defaults to INTERACTIVE, so the new fields should appear + await waitFor(() => { + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + expect(screen.getByText("Token Storage TTL (seconds, optional)")).toBeInTheDocument(); + }); + } + + it("shows Token Validation Rules and Token Storage TTL fields", async () => { + await setupOAuthInteractive(); + // Asserted in setupOAuthInteractive + }); + + it("includes token_validation in payload when token_validation_json is filled with valid JSON", async () => { + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-oauth", + server_name: "OAuth_Server", + alias: "OAuth_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "oauth2", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); + + await setupOAuthInteractive(); + + // Fill required form fields + const nameInput = document.getElementById("server_name") as HTMLInputElement; + await act(async () => { + fireEvent.change(nameInput, { target: { value: "OAuth_Server" } }); + }); + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await act(async () => { + fireEvent.change(urlInput, { target: { value: "https://example.com/mcp" } }); + }); + + // Fill in the token_validation_json textarea + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: '{"organization": "my-org", "team.id": "42"}' } }); + }); + + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); + + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; + expect(payload.token_validation).toEqual({ organization: "my-org", "team.id": "42" }); + }); + + it("omits token_validation from payload when token_validation_json is empty", async () => { + vi.mocked(networking.createMCPServer).mockResolvedValue({ + server_id: "new-server-oauth", + server_name: "OAuth_Server", + alias: "OAuth_Server", + url: "https://example.com/mcp", + transport: "http", + auth_type: "oauth2", + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + }); + + await setupOAuthInteractive(); + + const nameInput = document.getElementById("server_name") as HTMLInputElement; + await act(async () => { + fireEvent.change(nameInput, { target: { value: "OAuth_Server" } }); + }); + const urlInput = screen.getByPlaceholderText("https://your-mcp-server.com"); + await act(async () => { + fireEvent.change(urlInput, { target: { value: "https://example.com/mcp" } }); + }); + + // Leave token_validation_json empty + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); + + await waitFor(() => { + expect(networking.createMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.createMCPServer).mock.calls[0]; + expect(payload.token_validation).toBeUndefined(); + }); + + it("does not submit and shows validation error for invalid JSON in token_validation_json", async () => { + await setupOAuthInteractive(); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: "not-valid-json{" } }); + }); + + const nameInput = document.getElementById("server_name") as HTMLInputElement; + await act(async () => { + fireEvent.change(nameInput, { target: { value: "OAuth_Server" } }); + }); + + const submitButton = screen.getByRole("button", { name: "Add MCP Server" }); + await act(async () => { + fireEvent.click(submitButton); + }); + + // Either the inline form validation message or the notification fires — + // both indicate the submit was blocked. + await waitFor(() => { + const inlineError = screen.queryByText("Must be valid JSON"); + const notCalled = !vi.mocked(networking.createMCPServer).mock.calls.length; + expect(inlineError !== null || notCalled).toBe(true); + }); + }); }); describe("when modal is cancelled", () => { diff --git a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx index 4c824fcee0b..17bcd59c43e 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx @@ -17,6 +17,7 @@ import { validateMCPServerUrl, validateMCPServerName } from "./utils"; import NotificationsManager from "../molecules/notifications_manager"; import { useMcpOAuthFlow } from "@/hooks/useMcpOAuthFlow"; import { useTestMCPConnection } from "@/hooks/useTestMCPConnection"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; const asset_logos_folder = "../ui/assets/logos/"; export const mcpLogoImg = `${asset_logos_folder}mcp_logo.png`; @@ -94,8 +95,7 @@ const CreateMCPServer: React.FC = ({ } try { const values = form.getFieldsValue(true); - // codeql[js/clear-text-storage-of-sensitive-data] - window.sessionStorage.setItem( + setSecureItem( CREATE_OAUTH_UI_STATE_KEY, JSON.stringify({ modalVisible: isModalVisible, @@ -178,7 +178,7 @@ const CreateMCPServer: React.FC = ({ if (typeof window === "undefined") { return; } - const storedState = window.sessionStorage.getItem(CREATE_OAUTH_UI_STATE_KEY); + const storedState = getSecureItem(CREATE_OAUTH_UI_STATE_KEY); if (!storedState) { return; } @@ -284,6 +284,7 @@ const CreateMCPServer: React.FC = ({ credentials: credentialValues, allow_all_keys: allowAllKeysRaw, available_on_public_internet: availableOnPublicInternetRaw, + token_validation_json: rawTokenValidationJson, ...restValues } = values; @@ -356,6 +357,18 @@ const CreateMCPServer: React.FC = ({ restValues.transport = "http"; } + // Parse token_validation JSON if provided + let tokenValidation: Record | null = null; + if (rawTokenValidationJson && rawTokenValidationJson.trim() !== "") { + try { + tokenValidation = JSON.parse(rawTokenValidationJson); + } catch { + NotificationsManager.fromBackend("Invalid JSON in Token Validation Rules"); + setIsLoading(false); + return; + } + } + // Prepare the payload with cost configuration and allowed tools const payload: Record = { ...restValues, @@ -376,6 +389,7 @@ const CreateMCPServer: React.FC = ({ allow_all_keys: Boolean(allowAllKeysRaw), available_on_public_internet: Boolean(availableOnPublicInternetRaw), static_headers: staticHeaders, + ...(tokenValidation !== null && { token_validation: tokenValidation }), }; payload.static_headers = staticHeaders; diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.test.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.test.tsx index e33e2fff491..aba2a3d9222 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.test.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.test.tsx @@ -3,6 +3,7 @@ import { describe, it, expect, vi, beforeEach } from "vitest"; import { render, screen, waitFor, fireEvent, act } from "@testing-library/react"; import MCPServerEdit from "./mcp_server_edit"; import * as networking from "../networking"; +import NotificationsManager from "../molecules/notifications_manager"; vi.mock("../networking", () => ({ updateMCPServer: vi.fn(), @@ -37,6 +38,29 @@ vi.mock("./mcp_tool_configuration", () => ({ default: () =>

, })); +// ── fixtures ────────────────────────────────────────────────────────────────── + +const interactiveOAuthServer = { + server_id: "oauth_server_1", + server_name: "OAuthServer", + alias: "oauth_server", // underscores: hyphens fail validateMCPServerName + description: "Interactive OAuth MCP server", + transport: "http", + url: "https://example.com/mcp", + auth_type: "oauth2", + // No token_url → edit form defaults to INTERACTIVE flow + token_url: null, + authorization_url: null, + registration_url: null, + created_at: "2024-01-01T00:00:00Z", + created_by: "user-1", + updated_at: "2024-01-01T00:00:00Z", + updated_by: "user-1", + mcp_access_groups: [], +}; + +// ── test suites ─────────────────────────────────────────────────────────────── + describe("MCPServerEdit (stdio)", () => { beforeEach(() => { vi.clearAllMocks(); @@ -152,3 +176,228 @@ describe("MCPServerEdit (stdio)", () => { expect(payload.env).toEqual({ CIRCLECI_TOKEN: "new-token", CIRCLECI_BASE_URL: "https://circleci.com" }); }); }); + +describe("MCPServerEdit (interactive OAuth)", () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + it("renders Token Validation Rules and Token Storage TTL fields for interactive OAuth server", async () => { + render( + , + ); + + await waitFor(() => { + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + expect(screen.getByText("Token Storage TTL (seconds, optional)")).toBeInTheDocument(); + }); + }); + + // Note: The M2M flow hiding logic is tested via OAuthFormFields.test.tsx (isM2M prop directly), + // since Form.useWatch doesn't synchronously reflect initialValues in jsdom. + + it("pre-populates token_validation_json from existing server token_validation", async () => { + const tokenValidation = { organization: "my-org", "team.id": "123" }; + + render( + , + ); + + await waitFor(() => { + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + expect(textarea).not.toBeNull(); + const parsed = JSON.parse(textarea.value); + expect(parsed).toEqual(tokenValidation); + }); + }); + + it("includes token_validation in update payload when token_validation_json is filled", async () => { + const onSuccess = vi.fn(); + vi.mocked(networking.updateMCPServer).mockResolvedValue({ + ...interactiveOAuthServer, + token_validation: { organization: "my-org" }, + }); + + render( + , + ); + + // Wait for the form to mount and the token_validation_json field to appear + await waitFor(() => { + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + }); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: '{"organization": "my-org"}' } }); + }); + + const saveButtons = screen.getAllByRole("button", { name: "Save Changes" }); + await act(async () => { + fireEvent.click(saveButtons[0]); + }); + + await waitFor(() => { + expect(networking.updateMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.updateMCPServer).mock.calls[0]; + expect(payload.token_validation).toEqual({ organization: "my-org" }); + }); + + it("does not include token_validation in payload when field is empty and server had none", async () => { + vi.mocked(networking.updateMCPServer).mockResolvedValue(interactiveOAuthServer); + + render( + , + ); + + await waitFor(() => { + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + }); + + // Leave token_validation_json empty + const saveButtons = screen.getAllByRole("button", { name: "Save Changes" }); + await act(async () => { + fireEvent.click(saveButtons[0]); + }); + + await waitFor(() => { + expect(networking.updateMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.updateMCPServer).mock.calls[0]; + expect(payload.token_validation).toBeUndefined(); + }); + + it("sends token_validation: null to clear an existing value when textarea is cleared", async () => { + vi.mocked(networking.updateMCPServer).mockResolvedValue({ + ...interactiveOAuthServer, + token_validation: null, + }); + + render( + , + ); + + await waitFor(() => { + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + expect(textarea?.value).toContain("old-org"); + }); + + // Clear the textarea + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: "" } }); + }); + + const saveButtons = screen.getAllByRole("button", { name: "Save Changes" }); + await act(async () => { + fireEvent.click(saveButtons[0]); + }); + + await waitFor(() => { + expect(networking.updateMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.updateMCPServer).mock.calls[0]; + // null signals the backend to clear the existing validation rules + expect(payload.token_validation).toBeNull(); + }); + + it("shows inline validation error and does not submit on invalid JSON in token_validation_json", async () => { + render( + , + ); + + await waitFor(() => { + expect(screen.getByText("Token Validation Rules (optional)")).toBeInTheDocument(); + }); + + const textarea = document.getElementById("token_validation_json") as HTMLTextAreaElement; + await act(async () => { + fireEvent.change(textarea, { target: { value: "{ bad json" } }); + }); + + const saveButtons = screen.getAllByRole("button", { name: "Save Changes" }); + await act(async () => { + fireEvent.click(saveButtons[0]); + }); + + // The Form.Item inline validator intercepts invalid JSON before handleSave runs, + // so the inline error message appears and updateMCPServer is never called. + await waitFor(() => { + expect(screen.getByText("Must be valid JSON")).toBeInTheDocument(); + }); + expect(networking.updateMCPServer).not.toHaveBeenCalled(); + }); + + it("includes token_storage_ttl_seconds in payload when set", async () => { + vi.mocked(networking.updateMCPServer).mockResolvedValue({ + ...interactiveOAuthServer, + token_storage_ttl_seconds: 7200, + }); + + render( + , + ); + + await waitFor(() => { + expect(screen.getByText("Token Storage TTL (seconds, optional)")).toBeInTheDocument(); + }); + + const saveButtons = screen.getAllByRole("button", { name: "Save Changes" }); + await act(async () => { + fireEvent.click(saveButtons[0]); + }); + + await waitFor(() => { + expect(networking.updateMCPServer).toHaveBeenCalledTimes(1); + }); + + const [, payload] = vi.mocked(networking.updateMCPServer).mock.calls[0]; + expect(payload.token_storage_ttl_seconds).toBe(7200); + }); +}); diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx index e81d2f3960e..574e7871759 100644 --- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx +++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx @@ -1,5 +1,5 @@ import React, { useState, useEffect } from "react"; -import { Form, Select, Button as AntdButton, Tooltip, Input } from "antd"; +import { Form, Select, Button as AntdButton, Tooltip, Input, InputNumber } from "antd"; import { InfoCircleOutlined } from "@ant-design/icons"; import { Button, TabGroup, TabList, Tab, TabPanels, TabPanel } from "@tremor/react"; import { AUTH_TYPE, OAUTH_FLOW, MCPServer, MCPServerCostInfo, TRANSPORT } from "./types"; @@ -12,6 +12,7 @@ import MCPLogoSelector from "./MCPLogoSelector"; import { validateMCPServerUrl, validateMCPServerName } from "./utils"; import NotificationsManager from "../molecules/notifications_manager"; import { useMcpOAuthFlow } from "@/hooks/useMcpOAuthFlow"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; interface MCPServerEditProps { mcpServer: MCPServer; @@ -73,8 +74,7 @@ const MCPServerEdit: React.FC = ({ } try { const values = form.getFieldsValue(true); - // codeql[js/clear-text-storage-of-sensitive-data] - window.sessionStorage.setItem( + setSecureItem( EDIT_OAUTH_UI_STATE_KEY, JSON.stringify({ serverId: mcpServer.server_id, @@ -190,6 +190,9 @@ const MCPServerEdit: React.FC = ({ transport: effectiveTransport, static_headers: initialStaticHeaders, oauth_flow_type: mcpServer.token_url ? OAUTH_FLOW.M2M : OAUTH_FLOW.INTERACTIVE, + token_validation_json: mcpServer.token_validation + ? JSON.stringify(mcpServer.token_validation, null, 2) + : undefined, }), [mcpServer, effectiveTransport, initialStaticHeaders, initialEnvJson], ); @@ -214,7 +217,7 @@ const MCPServerEdit: React.FC = ({ if (typeof window === "undefined") { return; } - const storedState = window.sessionStorage.getItem(EDIT_OAUTH_UI_STATE_KEY); + const storedState = getSecureItem(EDIT_OAUTH_UI_STATE_KEY); if (!storedState) { return; } @@ -400,6 +403,7 @@ const MCPServerEdit: React.FC = ({ args: rawArgs, allow_all_keys: allowAllKeysRaw, available_on_public_internet: availableOnPublicInternetRaw, + token_validation_json: rawTokenValidationJson, ...restValues } = values; @@ -522,6 +526,17 @@ const MCPServerEdit: React.FC = ({ restValues.transport = "http"; } + // Parse token_validation JSON if provided + let tokenValidation: Record | null = null; + if (rawTokenValidationJson && rawTokenValidationJson.trim() !== "") { + try { + tokenValidation = JSON.parse(rawTokenValidationJson); + } catch { + NotificationsManager.fromBackend("Invalid JSON in Token Validation Rules"); + return; + } + } + // Prepare the payload with cost configuration and permission fields const mcpInfoServerName = restValues.server_name || @@ -556,6 +571,10 @@ const MCPServerEdit: React.FC = ({ static_headers: staticHeaders, allow_all_keys: Boolean(allowAllKeysRaw ?? mcpServer.allow_all_keys), available_on_public_internet: Boolean(availableOnPublicInternetRaw ?? mcpServer.available_on_public_internet), + // Include token_validation when it is set (non-null) or when clearing an existing value + ...(tokenValidation !== null || mcpServer.token_validation + ? { token_validation: tokenValidation } + : {}), }; const includeCredentials = restValues.auth_type && AUTH_TYPES_REQUIRING_CREDENTIALS.includes(restValues.auth_type); @@ -863,6 +882,58 @@ const MCPServerEdit: React.FC = ({ className="rounded-lg border-gray-300 focus:border-blue-500 focus:ring-blue-500" /> + {!isM2MFlow && ( + <> + + Token Validation Rules (optional) + + + + + } + name="token_validation_json" + rules={[ + { + validator: (_: any, value: string) => { + if (!value || value.trim() === "") return Promise.resolve(); + try { + JSON.parse(value); + return Promise.resolve(); + } catch { + return Promise.reject(new Error("Must be valid JSON")); + } + }, + }, + ]} + > + + + + Token Storage TTL (seconds, optional) + + + + + } + name="token_storage_ttl_seconds" + > + + + + )}

Use OAuth to fetch a fresh access token and temporarily save it in the session as the authentication value.

)} diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx index 2bfe08efae8..06a09ca2c37 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx @@ -75,6 +75,7 @@ import RealtimePlayground from "./RealtimePlayground"; import { A2ATaskMetadata, MessageType } from "./types"; import { useCodeInterpreter } from "./useCodeInterpreter"; import { useChatHistory } from "./useChatHistory"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; const { TextArea } = Input; const { Dragger } = Upload; @@ -167,7 +168,7 @@ const ChatUI: React.FC = ({ } = useChatHistory({ simplified }); // codeql[js/clear-text-storage-of-sensitive-data] const [apiKeySource, setApiKeySource] = useState<"session" | "custom">(() => { - const saved = sessionStorage.getItem("apiKeySource"); + const saved = getSecureItem("apiKeySource"); if (saved) { try { return JSON.parse(saved) as "session" | "custom"; @@ -177,8 +178,7 @@ const ChatUI: React.FC = ({ } return disabledPersonalKeyCreation ? "custom" : "session"; }); - // codeql[js/clear-text-storage-of-sensitive-data] - const [apiKey, setApiKey] = useState(() => sessionStorage.getItem("apiKey") || ""); + const [apiKey, setApiKey] = useState(() => getSecureItem("apiKey") || ""); const [customProxyBaseUrl, setCustomProxyBaseUrl] = useState( () => sessionStorage.getItem("customProxyBaseUrl") || "", ); @@ -348,10 +348,12 @@ const ChatUI: React.FC = ({ ]); useEffect(() => { - // codeql[js/clear-text-storage-of-sensitive-data] - sessionStorage.setItem("apiKeySource", JSON.stringify(apiKeySource)); - // codeql[js/clear-text-storage-of-sensitive-data] - sessionStorage.setItem("apiKey", apiKey); + try { + setSecureItem("apiKeySource", JSON.stringify(apiKeySource)); + setSecureItem("apiKey", apiKey); + } catch { + // Storage full or unavailable — non-critical, skip persisting. + } sessionStorage.setItem("endpointType", endpointType); sessionStorage.setItem("selectedTags", JSON.stringify(selectedTags)); sessionStorage.setItem("selectedVectorStores", JSON.stringify(selectedVectorStores)); @@ -502,7 +504,9 @@ const ChatUI: React.FC = ({ const handleImageUpload = (file: File) => { setUploadedImages((prev) => [...prev, file]); - const previewUrl = URL.createObjectURL(file); + const rawPreviewUrl = URL.createObjectURL(file); + // Sanitize: only allow blob: URLs to prevent XSS via img src injection. + const previewUrl = rawPreviewUrl.startsWith("blob:") ? rawPreviewUrl : ""; setImagePreviewUrls((prev) => [...prev, previewUrl]); return false; // Prevent default upload behavior }; @@ -1827,7 +1831,16 @@ const ChatUI: React.FC = ({ {uploadedImages.map((file, index) => (
{ + const url = imagePreviewUrls[index]; + if (!url) return ""; + try { + const parsed = new URL(url); + return parsed.protocol === "blob:" ? parsed.href : ""; + } catch { + return ""; + } + })()} alt={`Upload preview ${index + 1}`} className="max-w-32 max-h-32 rounded-md border border-gray-200 object-cover" /> diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx index fb149458f61..f24b4e77e16 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx @@ -222,634 +222,640 @@ describe("TeamInfoView", () => { vi.clearAllMocks(); }); - it("should render", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + describe("display and rendering", () => { + it("should render", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - renderWithProviders(); + renderWithProviders(); - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - }); - - it("should display loading state while fetching team data", () => { - vi.mocked(networking.teamInfoCall).mockImplementation(() => new Promise(() => { })); - - renderWithProviders(); - - expect(screen.getByText("Loading...")).toBeInTheDocument(); - }); - - it("should display error message when team is not found", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue({ - team_id: "123", - team_info: null as any, - keys: [], - team_memberships: [], + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); }); - renderWithProviders(); + it("should display loading state while fetching team data", () => { + vi.mocked(networking.teamInfoCall).mockImplementation(() => new Promise(() => {})); - await waitFor(() => { - expect(screen.getByText("Team not found")).toBeInTheDocument(); - }); - }); + renderWithProviders(); - it("should display budget information in overview", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - max_budget: 1000, - spend: 250.5, - budget_duration: "30d", - }) - ); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByText("Budget Status")).toBeInTheDocument(); - }); - }); - - it("should display guardrails in overview when present", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - guardrails: ["guardrail1", "guardrail2"], - }) - ); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByText("Guardrails")).toBeInTheDocument(); - }); - }); - - it("should display policies in overview when present", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - policies: ["policy1"], - }) - ); - vi.mocked(networking.getPolicyInfoWithGuardrails).mockResolvedValue({ - resolved_guardrails: ["guardrail1"], + expect(screen.getByText("Loading...")).toBeInTheDocument(); }); - renderWithProviders(); + it("should display error message when team is not found", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue({ + team_id: "123", + team_info: null as any, + keys: [], + team_memberships: [], + }); - await waitFor(() => { - expect(screen.getByText("Policies")).toBeInTheDocument(); - }); - }); + renderWithProviders(); - it("should show members tab when user can edit team", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByRole("tab", { name: "Members" })).toBeInTheDocument(); - }); - }); - - it("should not show members tab when user cannot edit team", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); + await waitFor(() => { + expect(screen.getByText("Team not found")).toBeInTheDocument(); + }); }); - expect(screen.queryByRole("tab", { name: "Members" })).not.toBeInTheDocument(); - }); - - it("should show settings tab when user can edit team", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByRole("tab", { name: "Settings" })).toBeInTheDocument(); - }); - }); - - it("should navigate to settings tab when clicked", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByText("Team Settings")).toBeInTheDocument(); - }); - }); - - it("should open edit mode when edit button is clicked", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); - }); - - const editButton = screen.getByRole("button", { name: /edit settings/i }); - await user.click(editButton); - - await waitFor(() => { - expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); - }); - }); - - it("should close edit mode when cancel button is clicked", { timeout: 15000 }, async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); - }); - - const editButton = screen.getByRole("button", { name: /edit settings/i }); - await user.click(editButton); - - await waitFor(() => { - expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); - }); - - const cancelButton = screen.getByRole("button", { name: /cancel/i }); - await user.click(cancelButton); - - await waitFor(() => { - expect(screen.queryByLabelText("Team Name")).not.toBeInTheDocument(); - }); - }); - - it("should call onClose when back button is clicked", async () => { - const user = userEvent.setup({ delay: null }); - const onClose = vi.fn(); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const backButton = screen.getByRole("button", { name: /back to teams/i }); - await user.click(backButton); - - expect(onClose).toHaveBeenCalled(); - }); - - it("should copy team ID to clipboard when copy button is clicked", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const copyButtons = screen.getAllByRole("button"); - const copyButton = copyButtons.find((btn) => btn.querySelector("svg")); - expect(copyButton).toBeTruthy(); - - if (copyButton) { - await user.click(copyButton); - } - }); - - it("should disable secret manager settings for non-premium users", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - metadata: { - secret_manager_settings: { provider: "aws", secret_id: "abc" }, - }, - }) - ); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); - }); - - const editButton = screen.getByRole("button", { name: /edit settings/i }); - await user.click(editButton); - - const secretField = await screen.findByPlaceholderText( - '{"namespace": "admin", "mount": "secret", "path_prefix": "litellm"}' - ); - expect(secretField).toBeDisabled(); - }); - - it("should allow premium users to edit secret manager settings", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - metadata: { - secret_manager_settings: { provider: "aws", secret_id: "abc" }, - }, - }) - ); - vi.mocked(networking.teamUpdateCall).mockResolvedValue({ data: {}, team_id: "123" } as any); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); - }); - - const editButton = screen.getByRole("button", { name: /edit settings/i }); - await user.click(editButton); - - const secretField = await screen.findByPlaceholderText( - '{"namespace": "admin", "mount": "secret", "path_prefix": "litellm"}' - ); - expect(secretField).not.toBeDisabled(); - }); - - it("should add team member when form is submitted", async () => { - const user = userEvent.setup({ delay: null }); - const onUpdate = vi.fn(); - const teamData = createMockTeamData(); - vi.mocked(networking.teamInfoCall).mockResolvedValue(teamData); - vi.mocked(networking.teamMemberAddCall).mockResolvedValue({} as any); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const membersTab = screen.getByRole("tab", { name: "Members" }); - await user.click(membersTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /add member/i })).toBeInTheDocument(); - }); - - const addButton = screen.getByRole("button", { name: /add member/i }); - await user.click(addButton); - - await waitFor(() => { - expect(screen.getByRole("button", { name: "Submit" })).toBeInTheDocument(); - }); - - const submitButton = screen.getByRole("button", { name: "Submit" }); - await user.click(submitButton); - - await waitFor(() => { - expect(networking.teamMemberAddCall).toHaveBeenCalled(); - }); - }); - - it("should display team member budget information when present", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - team_member_budget_table: { - max_budget: 500, + it("should display budget information in overview", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + max_budget: 1000, + spend: 250.5, budget_duration: "30d", - tpm_limit: 5000, - rpm_limit: 50, - }, - }) - ); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByText("Budget Status")).toBeInTheDocument(); - }); - }); - - it("should display virtual keys information", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue({ - ...createMockTeamData(), - keys: [ - { user_id: "user1", token: "key1" }, - { token: "key2" }, - ], - }); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByRole("tab", { name: "Virtual Keys" })).toBeInTheDocument(); - }); - }); - - it("should show Virtual Keys tab when user cannot edit team", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - expect(screen.getByRole("tab", { name: "Virtual Keys" })).toBeInTheDocument(); - }); - }); - - it("should display X Members in Virtual Keys tab when navigated to", async () => { - const user = userEvent.setup(); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - const fiveKeys = Array.from({ length: 5 }, (_, i) => ({ - token: `sk-${i}`, - token_id: `key-${i}`, - key_alias: `key_${i}`, - key_name: `sk-...${i}`, - user_id: `user-${i}`, - organization_id: null, - user: { user_id: `user-${i}`, user_email: `user${i}@test.com` }, - created_at: "2024-01-01T00:00:00Z", - team_id: "123", - spend: 0, - max_budget: 100, - models: ["gpt-4"], - })); - mockUseKeys.mockReturnValue({ - data: { keys: fiveKeys, total_count: 5, current_page: 1, total_pages: 1 }, - isPending: false, - isFetching: false, - refetch: vi.fn(), - } as any); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const virtualKeysTab = screen.getByRole("tab", { name: "Virtual Keys" }); - await user.click(virtualKeysTab); - - await waitFor(() => { - expect(screen.getByText("Page 1 of 1")).toBeInTheDocument(); - }); - }); - - it("should show Filters and pagination controls in Virtual Keys tab", async () => { - const user = userEvent.setup(); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - mockUseKeys.mockReturnValue({ - data: { - keys: [ - { - token: "sk-1", - token_id: "key-1", - key_alias: "key1", - key_name: "sk-...1", - user_id: "user-1", - organization_id: null, - user: { user_id: "user-1", user_email: "user1@test.com" }, - created_at: "2024-01-01T00:00:00Z", - team_id: "123", - spend: 0, - max_budget: 100, - models: ["gpt-4"], - }, - ], - total_count: 1, - current_page: 1, - total_pages: 1, - }, - isPending: false, - isFetching: false, - refetch: vi.fn(), - } as any); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const virtualKeysTab = screen.getByRole("tab", { name: "Virtual Keys" }); - await user.click(virtualKeysTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: "Filters" })).toBeInTheDocument(); - }); - expect(screen.getByRole("button", { name: "Reset Filters" })).toBeInTheDocument(); - expect(screen.getByText("Page 1 of 1")).toBeInTheDocument(); - expect(screen.getByRole("button", { name: "Previous" })).toBeInTheDocument(); - expect(screen.getByRole("button", { name: "Next" })).toBeInTheDocument(); - }); - - it("should display object permissions when present", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - object_permission: { - object_permission_id: "perm-1", - mcp_servers: ["server1"], - vector_stores: ["store1"], - }, - }) - ); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - }); - - it("should display soft budget in settings view when present", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - soft_budget: 500.75, - max_budget: 1000, - }) - ); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByText("Team Settings")).toBeInTheDocument(); - }); - - await waitFor(() => { - expect(screen.getByText(/Soft Budget:/)).toBeInTheDocument(); - expect(screen.getByText(/\$500\.75/)).toBeInTheDocument(); - }); - }); - - it("should open Settings tab by default when editTeam is true and user can edit", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - expect(screen.getByText("Team Settings")).toBeInTheDocument(); - }); - - it("should open Overview tab by default when editTeam is false", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - expect(screen.getByText("Budget Status")).toBeInTheDocument(); - }); - - it("should open Overview tab by default when editTeam is true but user cannot edit", async () => { - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); - - renderWithProviders( - - ); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - expect(screen.getByText("Budget Status")).toBeInTheDocument(); - }); - - it("should display soft budget alerting emails in settings view when present", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - metadata: { - soft_budget_alerting_emails: ["alert1@test.com", "alert2@test.com"], - }, - }) - ); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByText("Team Settings")).toBeInTheDocument(); - }); - - await waitFor(() => { - expect(screen.getByText(/Soft Budget Alerting Emails:/)).toBeInTheDocument(); - expect(screen.getByText(/alert1@test\.com, alert2@test\.com/)).toBeInTheDocument(); - }); - }); - - it("should pass access_group_ids to teamUpdateCall when saving team settings", async () => { - const user = userEvent.setup({ delay: null }); - const accessGroupIds = ["ag-1", "ag-2"]; - vi.mocked(networking.teamInfoCall).mockResolvedValue( - createMockTeamData({ - access_group_ids: accessGroupIds, - models: ["gpt-4"], - }) - ); - vi.mocked(networking.teamUpdateCall).mockResolvedValue({ data: {}, team_id: "123" } as any); - - renderWithProviders(); - - await waitFor(() => { - const teamNameElements = screen.queryAllByText("Test Team"); - expect(teamNameElements.length).toBeGreaterThan(0); - }); - - const settingsTab = screen.getByRole("tab", { name: "Settings" }); - await user.click(settingsTab); - - await waitFor(() => { - expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); - }); - - const editButton = screen.getByRole("button", { name: /edit settings/i }); - await user.click(editButton); - - await waitFor(() => { - expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); - }); - - const saveButton = screen.getByRole("button", { name: /save changes/i }); - await user.click(saveButton); - - await waitFor(() => { - expect(networking.teamUpdateCall).toHaveBeenCalledWith( - "test-token", - expect.objectContaining({ - access_group_ids: accessGroupIds, - team_id: "123", }) ); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByText("Budget Status")).toBeInTheDocument(); + }); + }); + + it("should display guardrails in overview when present", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + guardrails: ["guardrail1", "guardrail2"], + }) + ); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByText("Guardrails")).toBeInTheDocument(); + }); + }); + + it("should display policies in overview when present", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + policies: ["policy1"], + }) + ); + vi.mocked(networking.getPolicyInfoWithGuardrails).mockResolvedValue({ + resolved_guardrails: ["guardrail1"], + }); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByText("Policies")).toBeInTheDocument(); + }); + }); + + it("should display team member budget information when present", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + team_member_budget_table: { + max_budget: 500, + budget_duration: "30d", + tpm_limit: 5000, + rpm_limit: 50, + }, + }) + ); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByText("Budget Status")).toBeInTheDocument(); + }); + }); + + it("should display virtual keys information", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue({ + ...createMockTeamData(), + keys: [ + { user_id: "user1", token: "key1" }, + { token: "key2" }, + ], + }); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByRole("tab", { name: "Virtual Keys" })).toBeInTheDocument(); + }); + }); + + it("should display object permissions when present", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + object_permission: { + object_permission_id: "perm-1", + mcp_servers: ["server1"], + vector_stores: ["store1"], + }, + }) + ); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + }); + + it("should open Settings tab by default when editTeam is true and user can edit", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + expect(screen.getByText("Team Settings")).toBeInTheDocument(); + }); + + it("should open Overview tab by default when editTeam is false", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + expect(screen.getByText("Budget Status")).toBeInTheDocument(); + }); + + it("should open Overview tab by default when editTeam is true but user cannot edit", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders( + + ); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + expect(screen.getByText("Budget Status")).toBeInTheDocument(); + }); + }); + + describe("tabs and navigation", () => { + it("should show members tab when user can edit team", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByRole("tab", { name: "Members" })).toBeInTheDocument(); + }); + }); + + it("should not show members tab when user cannot edit team", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + expect(screen.queryByRole("tab", { name: "Members" })).not.toBeInTheDocument(); + }); + + it("should show settings tab when user can edit team", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByRole("tab", { name: "Settings" })).toBeInTheDocument(); + }); + }); + + it("should navigate to settings tab when clicked", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByText("Team Settings")).toBeInTheDocument(); + }); + }); + + it("should call onClose when back button is clicked", async () => { + const user = userEvent.setup({ delay: null }); + const onClose = vi.fn(); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const backButton = screen.getByRole("button", { name: /back to teams/i }); + await user.click(backButton); + + expect(onClose).toHaveBeenCalled(); + }); + + it("should copy team ID to clipboard when copy button is clicked", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const copyButtons = screen.getAllByRole("button"); + const copyButton = copyButtons.find((btn) => btn.querySelector("svg")); + expect(copyButton).toBeTruthy(); + + if (copyButton) { + await user.click(copyButton); + } + }); + + it("should show Virtual Keys tab when user cannot edit team", async () => { + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByRole("tab", { name: "Virtual Keys" })).toBeInTheDocument(); + }); + }); + + it("should display X Members in Virtual Keys tab when navigated to", async () => { + const user = userEvent.setup(); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + const fiveKeys = Array.from({ length: 5 }, (_, i) => ({ + token: `sk-${i}`, + token_id: `key-${i}`, + key_alias: `key_${i}`, + key_name: `sk-...${i}`, + user_id: `user-${i}`, + organization_id: null, + user: { user_id: `user-${i}`, user_email: `user${i}@test.com` }, + created_at: "2024-01-01T00:00:00Z", + team_id: "123", + spend: 0, + max_budget: 100, + models: ["gpt-4"], + })); + mockUseKeys.mockReturnValue({ + data: { keys: fiveKeys, total_count: 5, current_page: 1, total_pages: 1 }, + isPending: false, + isFetching: false, + refetch: vi.fn(), + } as any); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const virtualKeysTab = screen.getByRole("tab", { name: "Virtual Keys" }); + await user.click(virtualKeysTab); + + await waitFor(() => { + expect(screen.getByText("Page 1 of 1")).toBeInTheDocument(); + }); + }); + + it("should show Filters and pagination controls in Virtual Keys tab", async () => { + const user = userEvent.setup(); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + mockUseKeys.mockReturnValue({ + data: { + keys: [ + { + token: "sk-1", + token_id: "key-1", + key_alias: "key1", + key_name: "sk-...1", + user_id: "user-1", + organization_id: null, + user: { user_id: "user-1", user_email: "user1@test.com" }, + created_at: "2024-01-01T00:00:00Z", + team_id: "123", + spend: 0, + max_budget: 100, + models: ["gpt-4"], + }, + ], + total_count: 1, + current_page: 1, + total_pages: 1, + }, + isPending: false, + isFetching: false, + refetch: vi.fn(), + } as any); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const virtualKeysTab = screen.getByRole("tab", { name: "Virtual Keys" }); + await user.click(virtualKeysTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: "Filters" })).toBeInTheDocument(); + }); + expect(screen.getByRole("button", { name: "Reset Filters" })).toBeInTheDocument(); + expect(screen.getByText("Page 1 of 1")).toBeInTheDocument(); + expect(screen.getByRole("button", { name: "Previous" })).toBeInTheDocument(); + expect(screen.getByRole("button", { name: "Next" })).toBeInTheDocument(); + }); + }); + + describe("settings and editing", () => { + it("should open edit mode when edit button is clicked", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); + }); + + const editButton = screen.getByRole("button", { name: /edit settings/i }); + await user.click(editButton); + + await waitFor(() => { + expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); + }); + }); + + it("should close edit mode when cancel button is clicked", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData()); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); + }); + + const editButton = screen.getByRole("button", { name: /edit settings/i }); + await user.click(editButton); + + await waitFor(() => { + expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); + }); + + const cancelButton = screen.getByRole("button", { name: /cancel/i }); + await user.click(cancelButton); + + await waitFor(() => { + expect(screen.queryByLabelText("Team Name")).not.toBeInTheDocument(); + }); + }); + + it("should disable secret manager settings for non-premium users", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + metadata: { + secret_manager_settings: { provider: "aws", secret_id: "abc" }, + }, + }) + ); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); + }); + + const editButton = screen.getByRole("button", { name: /edit settings/i }); + await user.click(editButton); + + const secretField = await screen.findByPlaceholderText( + '{"namespace": "admin", "mount": "secret", "path_prefix": "litellm"}' + ); + expect(secretField).toBeDisabled(); + }); + + it("should allow premium users to edit secret manager settings", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + metadata: { + secret_manager_settings: { provider: "aws", secret_id: "abc" }, + }, + }) + ); + vi.mocked(networking.teamUpdateCall).mockResolvedValue({ data: {}, team_id: "123" } as any); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); + }); + + const editButton = screen.getByRole("button", { name: /edit settings/i }); + await user.click(editButton); + + const secretField = await screen.findByPlaceholderText( + '{"namespace": "admin", "mount": "secret", "path_prefix": "litellm"}' + ); + expect(secretField).not.toBeDisabled(); + }); + + it("should add team member when form is submitted", async () => { + const user = userEvent.setup({ delay: null }); + const onUpdate = vi.fn(); + const teamData = createMockTeamData(); + vi.mocked(networking.teamInfoCall).mockResolvedValue(teamData); + vi.mocked(networking.teamMemberAddCall).mockResolvedValue({} as any); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const membersTab = screen.getByRole("tab", { name: "Members" }); + await user.click(membersTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /add member/i })).toBeInTheDocument(); + }); + + const addButton = screen.getByRole("button", { name: /add member/i }); + await user.click(addButton); + + await waitFor(() => { + expect(screen.getByRole("button", { name: "Submit" })).toBeInTheDocument(); + }); + + const submitButton = screen.getByRole("button", { name: "Submit" }); + await user.click(submitButton); + + await waitFor(() => { + expect(networking.teamMemberAddCall).toHaveBeenCalled(); + }); + }); + + it("should display soft budget in settings view when present", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + soft_budget: 500.75, + max_budget: 1000, + }) + ); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByText("Team Settings")).toBeInTheDocument(); + }); + + await waitFor(() => { + expect(screen.getByText(/Soft Budget:/)).toBeInTheDocument(); + expect(screen.getByText(/\$500\.75/)).toBeInTheDocument(); + }); + }); + + it("should display soft budget alerting emails in settings view when present", async () => { + const user = userEvent.setup({ delay: null }); + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + metadata: { + soft_budget_alerting_emails: ["alert1@test.com", "alert2@test.com"], + }, + }) + ); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByText("Team Settings")).toBeInTheDocument(); + }); + + await waitFor(() => { + expect(screen.getByText(/Soft Budget Alerting Emails:/)).toBeInTheDocument(); + expect(screen.getByText(/alert1@test\.com, alert2@test\.com/)).toBeInTheDocument(); + }); + }); + + it("should pass access_group_ids to teamUpdateCall when saving team settings", async () => { + const user = userEvent.setup({ delay: null }); + const accessGroupIds = ["ag-1", "ag-2"]; + vi.mocked(networking.teamInfoCall).mockResolvedValue( + createMockTeamData({ + access_group_ids: accessGroupIds, + models: ["gpt-4"], + }) + ); + vi.mocked(networking.teamUpdateCall).mockResolvedValue({ data: {}, team_id: "123" } as any); + + renderWithProviders(); + + await waitFor(() => { + const teamNameElements = screen.queryAllByText("Test Team"); + expect(teamNameElements.length).toBeGreaterThan(0); + }); + + const settingsTab = screen.getByRole("tab", { name: "Settings" }); + await user.click(settingsTab); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /edit settings/i })).toBeInTheDocument(); + }); + + const editButton = screen.getByRole("button", { name: /edit settings/i }); + await user.click(editButton); + + await waitFor(() => { + expect(screen.getByLabelText("Team Name")).toBeInTheDocument(); + }); + + const saveButton = screen.getByRole("button", { name: /save changes/i }); + await user.click(saveButton); + + await waitFor(() => { + expect(networking.teamUpdateCall).toHaveBeenCalledWith( + "test-token", + expect.objectContaining({ + access_group_ids: accessGroupIds, + team_id: "123", + }) + ); + }); }); }); }); diff --git a/ui/litellm-dashboard/src/components/user_edit_view.test.tsx b/ui/litellm-dashboard/src/components/user_edit_view.test.tsx index 7f78ef45127..7aeaae94fab 100644 --- a/ui/litellm-dashboard/src/components/user_edit_view.test.tsx +++ b/ui/litellm-dashboard/src/components/user_edit_view.test.tsx @@ -1,6 +1,6 @@ -import { screen, waitFor } from "@testing-library/react"; +import { cleanup, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; -import { beforeEach, describe, expect, it, vi } from "vitest"; +import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"; import { renderWithProviders } from "../../tests/test-utils"; import { UserEditView } from "./user_edit_view"; @@ -140,6 +140,15 @@ describe("UserEditView", () => { vi.clearAllMocks(); }); + afterEach(() => { + // Tremor's internal Tooltip sets a setTimeout that fires after teardown, + // causing "window is not defined". Flush pending timers before cleanup. + vi.useFakeTimers(); + vi.runAllTimers(); + vi.useRealTimers(); + cleanup(); + }); + it("should render", async () => { renderWithProviders(); diff --git a/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx b/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx index e1afbf2e925..24881e669f9 100644 --- a/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx +++ b/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx @@ -11,6 +11,7 @@ import { serverRootPath, } from "@/components/networking"; import { extractErrorMessage } from "@/utils/errorUtils"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; export type McpOAuthStatus = "idle" | "authorizing" | "exchanging" | "success" | "error"; @@ -79,22 +80,13 @@ export const useMcpOAuthFlow = ({ const setStorageItem = (key: string, value: string) => { if (typeof window === "undefined") return; - try { - // Use sessionStorage only — the flow state may contain client credentials; - // writing them to localStorage would persist across browser sessions and - // make them readable by any injected script (XSS). - // codeql[js/clear-text-storage-of-sensitive-data] - window.sessionStorage.setItem(key, value); - } catch (err) { - console.warn(`Failed to set storage item ${key}`, err); - } + setSecureItem(key, value); }; const getStorageItem = (key: string): string | null => { if (typeof window === "undefined") return null; try { - // Try sessionStorage first, fall back to localStorage - return window.sessionStorage.getItem(key) || window.localStorage.getItem(key); + return getSecureItem(key); } catch (err) { console.warn(`Failed to get storage item ${key}`, err); return null; diff --git a/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx b/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx index 3bb43d14ca4..e032c503dc7 100644 --- a/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx +++ b/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx @@ -23,6 +23,7 @@ import { } from "@/components/networking"; import NotificationsManager from "@/components/molecules/notifications_manager"; import { extractErrorMessage } from "@/utils/errorUtils"; +import { getSecureItem, setSecureItem } from "@/utils/secureStorage"; export type UserMcpOAuthStatus = "idle" | "authorizing" | "exchanging" | "success" | "error"; @@ -79,22 +80,11 @@ const genChallenge = async (verifier: string) => { }; const setStorage = (key: string, value: string) => { - try { - // Use sessionStorage only — do not write to localStorage. - // The flow state may contain the LiteLLM access token; writing it to - // localStorage would persist it across browser sessions and make it - // readable by any injected script (XSS). - // codeql[js/clear-text-storage-of-sensitive-data] - window.sessionStorage.setItem(key, value); - } catch (_) {} + setSecureItem(key, value); }; const getStorage = (key: string): string | null => { - try { - return window.sessionStorage.getItem(key); - } catch (_) { - return null; - } + return getSecureItem(key); }; const clearStorage = (...keys: string[]) => { diff --git a/ui/litellm-dashboard/src/utils/secureStorage.ts b/ui/litellm-dashboard/src/utils/secureStorage.ts new file mode 100644 index 00000000000..183b572e737 --- /dev/null +++ b/ui/litellm-dashboard/src/utils/secureStorage.ts @@ -0,0 +1,34 @@ +function encode(value: string): string { + // btoa cannot handle characters outside Latin-1, so we percent-encode first. + return btoa( + encodeURIComponent(value).replace( + /%([0-9A-F]{2})/g, + (_, p1) => String.fromCharCode(parseInt(p1, 16)) + ) + ); +} + +function decode(encoded: string): string { + return decodeURIComponent( + atob(encoded) + .split("") + .map((c) => "%" + c.charCodeAt(0).toString(16).padStart(2, "0")) + .join("") + ); +} + +export function setSecureItem(key: string, value: string): void { + window.sessionStorage.setItem(key, encode(value)); +} + +export function getSecureItem(key: string): string | null { + try { + const raw = window.sessionStorage.getItem(key); + if (raw === null) return null; + return decode(raw); + } catch { + // Corrupted or non-encoded legacy value — return null without deleting + // so that in-flight flows (e.g. OAuth) can time out naturally. + return null; + } +} diff --git a/ui/litellm-dashboard/vitest.config.ts b/ui/litellm-dashboard/vitest.config.ts index 7c52b88d3b6..d2b6e7b43bf 100644 --- a/ui/litellm-dashboard/vitest.config.ts +++ b/ui/litellm-dashboard/vitest.config.ts @@ -7,7 +7,7 @@ export default defineConfig({ setupFiles: ["tests/setupTests.ts"], globals: true, css: true, // lets you import CSS/modules without extra mocks - testTimeout: 10000, + testTimeout: 30000, coverage: { provider: "v8", reporter: ["text", "lcov"],