diff --git a/.circleci/config.yml b/.circleci/config.yml index 16819981345..fca7cf2fa91 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -409,14 +409,25 @@ jobs: --verbose \ --command="awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -v -x \ + --cov=./litellm --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 2" no_output_timeout: 15m + - run: + name: Rename the coverage files + command: | + mv coverage.xml auth_ui_unit_tests_coverage.xml + mv .coverage auth_ui_unit_tests_coverage # Store test results - store_test_results: path: test-results + - persist_to_workspace: + root: . + paths: + - auth_ui_unit_tests_coverage.xml + - auth_ui_unit_tests_coverage litellm_router_testing: # Runs all tests with the "router" keyword docker: @@ -493,13 +504,24 @@ jobs: --verbose \ --command="awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -v -x \ + --cov=./litellm --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 4" no_output_timeout: 15m + - run: + name: Rename the coverage files + command: | + mv coverage.xml router_unit_tests_coverage.xml + mv .coverage router_unit_tests_coverage # Store test results - store_test_results: path: test-results + - persist_to_workspace: + root: . + paths: + - router_unit_tests_coverage.xml + - router_unit_tests_coverage litellm_assistants_api_testing: # Runs all tests with the "assistants" keyword docker: - *python312_image @@ -2377,10 +2399,11 @@ jobs: - run: name: Combine Coverage command: | - uv tool run --from 'coverage[toml]==7.10.6' coverage combine realtime_translation_coverage ocr_coverage search_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 + uv tool run --from 'coverage[toml]==7.10.6' coverage combine realtime_translation_coverage ocr_coverage search_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 agent_coverage google_generate_content_endpoint_coverage litellm_utils_coverage router_unit_tests_coverage auth_ui_unit_tests_coverage uv tool run --from 'coverage[toml]==7.10.6' coverage xml - codecov/upload: file: ./coverage.xml + flags: circleci ui_build: docker: @@ -2770,6 +2793,8 @@ workflows: - local_testing_part1 - local_testing_part2 - litellm_assistants_api_testing + - litellm_router_unit_testing + - auth_ui_unit_tests - db_migration_disable_update_check: requires: - build_docker_database_image diff --git a/.github/workflows/_test-unit-base.yml b/.github/workflows/_test-unit-base.yml index 64862f3c8f1..7e91341ac77 100644 --- a/.github/workflows/_test-unit-base.yml +++ b/.github/workflows/_test-unit-base.yml @@ -132,4 +132,5 @@ jobs: use_oidc: true directory: coverage-reports root_dir: ${{ github.workspace }} + flags: ${{ inputs.artifact-name }} fail_ci_if_error: false diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index 9dd668cbf36..7f973d8cafa 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -186,4 +186,5 @@ jobs: use_oidc: true directory: coverage-reports root_dir: ${{ github.workspace }} + flags: ${{ inputs.artifact-name }} fail_ci_if_error: false 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/.gitignore b/.gitignore index 63627e502ce..4b4bb072cbb 100644 --- a/.gitignore +++ b/.gitignore @@ -109,4 +109,22 @@ compat-rate-limit-summary.json # Matrix JSON produced by the daily-cron publisher (pushed to litellm-docs). compatibility-matrix.json +# ---------- Terraform ---------- +# Provider binaries + module cache — regenerated by `terraform init`. +**/.terraform/ +# State files often contain secrets (DB passwords, API keys snapshotted from +# data sources). Keep state in a remote backend, never in git. +*.tfstate +*.tfstate.* +*.tfstate.backup +# Plan files can also contain sensitive values (variables in plaintext). +*.tfplan +# User-specific variable inputs — example files (terraform.tfvars.example) are +# tracked because they end in .example, which doesn't match the glob below. +*.tfvars +*.auto.tfvars +crash.log +crash.*.log +# .terraform.lock.hcl is intentionally NOT ignored — it pins provider versions +# and should be committed. .vscode diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 00000000000..c08014fc0ef --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,83 @@ +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a + +FROM $UV_IMAGE AS uvbin + +# ---------- Builder ---------- +FROM $LITELLM_BUILD_IMAGE AS builder + +WORKDIR /app +USER root + +COPY --from=uvbin /uv /uvx /usr/local/bin/ + +RUN apk add --no-cache bash gcc python3 python3-dev openssl openssl-dev libsndfile + +# UV_COMPILE_BYTECODE=1 precompiles .pyc at install time → faster cold start. +# UV_LINK_MODE=copy avoids hardlink warnings when uv installs from a +# BuildKit cache mount (different filesystem). +# UV_PYTHON_DOWNLOADS=0 force uv to use the apk-installed CPython instead of +# silently pulling a managed interpreter. +ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ + UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + UV_PYTHON_DOWNLOADS=0 \ + PATH="/app/.venv/bin:${PATH}" + +# Stage 1 — install dependencies only. +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=enterprise/pyproject.toml,target=enterprise/pyproject.toml \ + --mount=type=bind,source=litellm-proxy-extras/pyproject.toml,target=litellm-proxy-extras/pyproject.toml \ + uv sync --frozen --no-install-project --no-install-workspace --no-default-groups --no-editable \ + --extra proxy \ + --extra proxy-runtime \ + --extra extra_proxy \ + --extra semantic-router \ + --python python3 + +# Stage 2 — copy source and install the project + workspace members. +COPY . . + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-default-groups --no-editable \ + --extra proxy \ + --extra proxy-runtime \ + --extra extra_proxy \ + --extra semantic-router \ + --python python3 + +RUN mkdir -p /home/nonroot && \ + HOME=/home/nonroot prisma generate --schema=./schema.prisma && \ + chown -R nonroot:nonroot /home/nonroot/.cache + +# ---------- Runtime ---------- +FROM $LITELLM_RUNTIME_IMAGE AS runtime + +USER root + +RUN apk add --no-cache bash openssl tzdata python3 libsndfile libatomic + +# wolfi-base ships an unprivileged `nonroot` account (UID/GID 65532) with +# /home/nonroot. We run the backend as that user +WORKDIR /app +ENV HOME=/home/nonroot \ + PATH="/app/.venv/bin:${PATH}" \ + PYTHONPATH="/app" \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +COPY --from=builder --chown=nonroot:nonroot /app /app +COPY --from=builder --chown=nonroot:nonroot /home/nonroot/.cache /home/nonroot/.cache + +RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ + find /app/.venv -type d -path "*/tornado/test" -delete + +USER nonroot + +EXPOSE 4001/tcp + +ENTRYPOINT ["uvicorn", "backend.main:app"] +CMD ["--host", "0.0.0.0", "--port", "4001"] diff --git a/backend/main.py b/backend/main.py new file mode 100644 index 00000000000..4092cd63f69 --- /dev/null +++ b/backend/main.py @@ -0,0 +1,51 @@ +"""UI backend entrypoint. + +Reuses the existing FastAPI app from `litellm.proxy.proxy_server` and trims its +route table to just the management/admin surface used by the dashboard. Purely +additive — no existing module is modified. + +Run with: + uvicorn backend.main:app --host 0.0.0.0 --port 4001 +""" + +from contextlib import asynccontextmanager + +from fastapi.routing import Mount + +# See gateway/main.py for why we assemble DATABASE_URL(s) here before +# importing proxy_server. +from litellm.proxy.db.db_url_settings import DatabaseURLSettings + +DatabaseURLSettings.from_env().apply_to_env() + +from litellm.proxy.proxy_server import app + +from backend.routes.allowlist import BACKEND_EXACT_PATHS, BACKEND_PATH_PREFIXES + + +def _is_backend_route(route) -> bool: + """Keep the route on the backend if its path is in the management surface.""" + path = getattr(route, "path", None) + if path is None: + return False + if isinstance(route, Mount): + # Static UI mounts are served by the dedicated UI container, not here. + return False + if path in BACKEND_EXACT_PATHS: + return True + return any(path.startswith(prefix) for prefix in BACKEND_PATH_PREFIXES) + + +# See gateway/main.py for why the trim runs inside the lifespan instead of at +# module scope. +_proxy_lifespan = app.router.lifespan_context + + +@asynccontextmanager +async def _backend_lifespan(app_): + async with _proxy_lifespan(app_): + app_.router.routes = [r for r in app_.router.routes if _is_backend_route(r)] + yield + + +app.router.lifespan_context = _backend_lifespan diff --git a/backend/routes/__init__.py b/backend/routes/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/backend/routes/allowlist.py b/backend/routes/allowlist.py new file mode 100644 index 00000000000..610ba3dbd69 --- /dev/null +++ b/backend/routes/allowlist.py @@ -0,0 +1,135 @@ +"""Path allowlist for the UI backend (control plane) component. + +The backend exposes management/admin endpoints consumed by the UI: keys, users, +teams, orgs, customers, budgets, tags, workflows, model management, spend & +analytics, settings (router/cache/cost-tracking/fallbacks), SSO/onboarding, +audit logs, debug, enterprise admin, and UI bootstrap helpers (logo, favicon, +.well-known config). + +Anything LLM data-plane is dropped — those run on the gateway component. +""" + +BACKEND_PATH_PREFIXES: tuple[str, ...] = ( + # Identity / access + "/key/", + "/v2/key/", + "/user/", + "/v2/user/", + "/team/", + "/v2/team/", + "/organization/", + "/customer/", + "/end_user/", + "/sso/", + "/login", + "/v2/login", + "/v3/login", + "/logout", + "/token", + "/onboarding/", + "/audit", + "/oauth/", + "/invitation/", + "/jwt/", + # Models & routing config + "/model/", + "/v1/model/info", + "/v2/model/", + "/model_group", + "/model_access_group/", + "/model_hub/", + "/v1/access_group", + "/access_group/", + "/router/", + "/router_settings", + "/adaptive_router/", + "/fallback", + "/fallbacks", + "/cache_settings", + "/cost_tracking", + "/cost/", + "/credentials", + "/credential", + "/provider/budgets", + # Tools / agents (registry & policy admin) + "/v1/tool/", + "/v1/agents", + # Guardrails admin + "/v2/guardrails/", + # MCP server admin + BYOK OAuth flow (UI-initiated) + dynamic per-server endpoints + "/v1/mcp/", + "/test/", + "/{mcp_server_name}/", + # Budgets / tags / workflows / memory mgmt + "/budget/", + "/tag/", + "/workflow/", + "/v1/workflows/", + "/project/", + "/memory/", + "/mcp/", + # Spend / analytics + "/spend/", + "/analytics/", + "/global/", + "/user_agent", + "/usage/", + "/daily/", + # CloudZero cost-export admin (init / settings / export / dry-run / delete) + "/cloudzero/", + # Caching admin + "/cache/", + "/caching/", + # Callbacks / hooks + "/active/callbacks", + "/callbacks", + "/team_callback", + # Alerting / email / IP allowlist + "/alerting/", + "/email/", + "/add/allowed_ip", + "/delete/allowed_ip", + "/get/", + # Enterprise admin + "/enterprise/", + # Debug / config / profiling + "/debug/", + "/config/", + "/memory-usage-in-mem-cache", + "/otel-spans", + "/lazy/", + "/in_product_nudges", + # Admin reload / schedule + "/reload/", + "/schedule/", + "/settings", + "/update/", + "/upload/", + # Dev / admin utilities + "/utils/", + # UI bootstrap helpers (assets the dashboard fetches) + "/get_logo_url", + "/get_image", + "/get_favicon", + "/.well-known/", + "/litellm/.well-known/", + "/ui_discovery/", + "/ui-config", + "/sso_settings", + "/public/", + "/robots.txt", + # Health (k8s probes) + "/health", +) + +BACKEND_EXACT_PATHS: frozenset[str] = frozenset( + { + "/", + "/routes", + "/openapi.json", + "/docs", + "/docs/oauth2-redirect", + "/redoc", + "/fallback/login", + } +) diff --git a/codecov.yaml b/codecov.yaml index 8609d3143d6..58681b884d0 100644 --- a/codecov.yaml +++ b/codecov.yaml @@ -3,6 +3,16 @@ codecov: notify: wait_for_ci: false # post as soon as expected uploads arrive, don't wait on CI +# Uploads are flagged per workflow/shard (GHA) or "circleci". carryforward makes +# a re-upload of a flag replace its prior session instead of accumulating a +# conflicting one, and lets a commit reuse a flag from its parent when that flag +# was not re-uploaded. Required because the same commit can receive the +# push-triggered workflows more than once (re-runs / branches cut at the same +# SHA); flagless overlapping sessions made Codecov drop the largest files. +flag_management: + default_rules: + carryforward: true + component_management: individual_components: - component_id: "Router" diff --git a/gateway/Dockerfile b/gateway/Dockerfile new file mode 100644 index 00000000000..a2ca3d3f83f --- /dev/null +++ b/gateway/Dockerfile @@ -0,0 +1,83 @@ +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a + +FROM $UV_IMAGE AS uvbin + +# ---------- Builder ---------- +FROM $LITELLM_BUILD_IMAGE AS builder + +WORKDIR /app +USER root + +COPY --from=uvbin /uv /uvx /usr/local/bin/ + +RUN apk add --no-cache bash gcc python3 python3-dev openssl openssl-dev libsndfile + +# UV_COMPILE_BYTECODE=1 precompiles .pyc at install time → faster cold start. +# UV_LINK_MODE=copy avoids hardlink warnings when uv installs from a +# BuildKit cache mount (different filesystem). +# UV_PYTHON_DOWNLOADS=0 force uv to use the apk-installed CPython instead of +# silently pulling a managed interpreter. +ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ + UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + UV_PYTHON_DOWNLOADS=0 \ + PATH="/app/.venv/bin:${PATH}" + +# Stage 1 — install dependencies only. +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=enterprise/pyproject.toml,target=enterprise/pyproject.toml \ + --mount=type=bind,source=litellm-proxy-extras/pyproject.toml,target=litellm-proxy-extras/pyproject.toml \ + uv sync --frozen --no-install-project --no-install-workspace --no-default-groups --no-editable \ + --extra proxy \ + --extra proxy-runtime \ + --extra extra_proxy \ + --extra semantic-router \ + --python python3 + +# Stage 2 — copy source and install the project + workspace members. +COPY . . + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-default-groups --no-editable \ + --extra proxy \ + --extra proxy-runtime \ + --extra extra_proxy \ + --extra semantic-router \ + --python python3 + +RUN mkdir -p /home/nonroot && \ + HOME=/home/nonroot prisma generate --schema=./schema.prisma && \ + chown -R nonroot:nonroot /home/nonroot/.cache + +# ---------- Runtime ---------- +FROM $LITELLM_RUNTIME_IMAGE AS runtime + +USER root + +RUN apk add --no-cache bash openssl tzdata python3 libsndfile libatomic + +# wolfi-base ships an unprivileged `nonroot` account (UID/GID 65532) with +# /home/nonroot. We run the proxy as that user. +WORKDIR /app +ENV HOME=/home/nonroot \ + PATH="/app/.venv/bin:${PATH}" \ + PYTHONPATH="/app" \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +COPY --from=builder --chown=nonroot:nonroot /app /app +COPY --from=builder --chown=nonroot:nonroot /home/nonroot/.cache /home/nonroot/.cache + +RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ + find /app/.venv -type d -path "*/tornado/test" -delete + +USER nonroot + +EXPOSE 4000/tcp + +ENTRYPOINT ["sh", "-c", "exec uvicorn gateway.main:app --workers \"${NUM_WORKERS:-1}\" \"$@\"", "--"] +CMD ["--host", "0.0.0.0", "--port", "4000"] diff --git a/gateway/main.py b/gateway/main.py new file mode 100644 index 00000000000..09d30f5da3f --- /dev/null +++ b/gateway/main.py @@ -0,0 +1,59 @@ +"""Gateway entrypoint. + +Reuses the existing FastAPI app from `litellm.proxy.proxy_server` and trims its +route table to just the LLM data-plane surface. The trim is purely additive — +no existing module is modified, the full app continues to work via the legacy +entrypoint (`litellm.proxy.proxy_server:app`). + +Run with: + uvicorn gateway.main:app --host 0.0.0.0 --port 4000 +""" + +from contextlib import asynccontextmanager + +from fastapi.routing import Mount + +# Assemble DATABASE_URL (+ DATABASE_URL_READ_REPLICA) from the discrete +# DATABASE_* env vars before proxy_server imports spin up Prisma. Handles +# both IAM (mint a token) and password auth, writer and reader. The standard +# CLI flow does this in proxy_cli.py; we bypass proxy_cli by uvicorn'ing the +# app directly, so without this Prisma initializes with the placeholder URL +# and every DB-needing endpoint returns "Database not connected". +from litellm.proxy.db.db_url_settings import DatabaseURLSettings + +DatabaseURLSettings.from_env().apply_to_env() + +from litellm.proxy.proxy_server import app + +from gateway.routes.allowlist import GATEWAY_EXACT_PATHS, GATEWAY_PATH_PREFIXES + + +def _is_gateway_route(route) -> bool: + """Keep the route on the gateway if its path is in the LLM data-plane surface.""" + path = getattr(route, "path", None) + if path is None: + return False + if isinstance(route, Mount): + # Gateway never serves the static UI or its asset bundles. + return False + if path in GATEWAY_EXACT_PATHS: + return True + return any(path.startswith(prefix) for prefix in GATEWAY_PATH_PREFIXES) + + +# Wrap proxy_server's existing lifespan so the route trim runs *after* its +# startup hooks (and any plugin code those hooks load) have had a chance to +# register routes. A module-load filter would miss routes added during +# startup; running inside the lifespan, after the inner __aenter__, catches +# them while still completing before uvicorn opens the listener. +_proxy_lifespan = app.router.lifespan_context + + +@asynccontextmanager +async def _gateway_lifespan(app_): + async with _proxy_lifespan(app_): + app_.router.routes = [r for r in app_.router.routes if _is_gateway_route(r)] + yield + + +app.router.lifespan_context = _gateway_lifespan diff --git a/gateway/routes/__init__.py b/gateway/routes/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/gateway/routes/allowlist.py b/gateway/routes/allowlist.py new file mode 100644 index 00000000000..cbbf55c9873 --- /dev/null +++ b/gateway/routes/allowlist.py @@ -0,0 +1,121 @@ +"""Path allowlist for the gateway component. + +The gateway exposes the LLM data-plane surface: chat/completions, embeddings, +audio, batches, files, fine-tuning, rerank, ocr, rag, video, search, image, +responses, vector stores, passthrough providers, realtime websockets, MCP +tool-call endpoints, and operational endpoints (/health, /metrics). + +Any path not listed here is dropped from the gateway process so management/UI +endpoints don't ride on the same pods. + +Versioned data-plane paths are enumerated explicitly rather than allowing a +blanket `/v1/` or `/v2/` prefix — those broad prefixes would otherwise also +match management routes like `/v1/access_group`, `/v1/tool/{tool_name}/logs`, +`/v2/key/info`, etc. +""" + +GATEWAY_PATH_PREFIXES: tuple[str, ...] = ( + # OpenAI-compatible data-plane surface (versioned + unversioned) + "/v1/chat/", + "/chat/", + "/v1/completions", + "/completions", + "/v1/embeddings", + "/embeddings", + "/v1/moderations", + "/moderations", + "/v1/audio/", + "/audio/", + "/v1/images/", + "/images/", + "/v1/files", + "/files", + "/v1/batches", + "/batches", + "/v1/fine_tuning/", + "/fine_tuning/", + "/v1/fine-tuning/", + "/fine-tuning/", + "/v1/responses", + "/responses", + "/v1/threads", + "/threads", + "/v1/assistants", + "/assistants", + "/v1/vector_stores", + "/vector_stores", + "/v1/indexes", + "/v1/models", + "/models", + "/openai/", + "/engines/", + # Anthropic / agentic data-plane surface + "/v1/messages", + "/messages", + "/v1/skills", + "/v1/a2a/", + # LiteLLM-native LLM surface + "/v1/rerank", + "/v2/rerank", + "/rerank", + "/v1/ocr", + "/ocr", + "/v1/rag/", + "/rag/", + "/v1/video", + "/v1/videos", + "/video/", + "/videos", + "/v1/search", + "/search", + "/v1/containers", + "/containers", + "/v1/evals", + "/v1/memory", + "/queue/chat/", + # Google data plane (v1beta is the Google AI Studio version) + "/v1beta/", + "/interactions", + # Provider passthrough + "/anthropic/", + "/azure/", + "/azure_ai/", + "/aws/", + "/bedrock/", + "/cohere/", + "/gemini/", + "/google/", + "/vertex_ai/", + "/vertex-ai/", + "/assemblyai/", + "/eu.assemblyai/", + "/langfuse/", + "/vllm/", + "/mistral/", + "/groq/", + "/voyage/", + "/cursor/", + "/milvus/", + "/openai_passthrough/", + # Dynamic provider / toolset passthrough (path templates) + "/{provider}/", + "/toolset/", + # Realtime / streaming + "/v1/realtime", + "/realtime", + # Health & ops + "/health", + "/metrics", +) + +GATEWAY_EXACT_PATHS: frozenset[str] = frozenset( + { + "/", + "/routes", + "/openapi.json", + "/docs", + "/docs/oauth2-redirect", + "/redoc", + "/test", + } +) diff --git a/helm/litellm/Chart.yaml b/helm/litellm/Chart.yaml new file mode 100644 index 00000000000..e67f5790c7e --- /dev/null +++ b/helm/litellm/Chart.yaml @@ -0,0 +1,8 @@ +apiVersion: v2 +name: litellm +description: LiteLLM componentized — gateway, UI backend, and UI as separate services +type: application +version: 0.1.0 +appVersion: "0.1.0" +annotations: + org.opencontainers.image.source: "https://github.com/BerriAI/litellm" diff --git a/helm/litellm/templates/NOTES.txt b/helm/litellm/templates/NOTES.txt new file mode 100644 index 00000000000..5b939fe480a --- /dev/null +++ b/helm/litellm/templates/NOTES.txt @@ -0,0 +1,49 @@ +LiteLLM componentized — release {{ .Release.Name }} in namespace {{ .Release.Namespace }}. + +Components: +{{- if .Values.gateway.enabled }} + - gateway : Service {{ include "litellm.gateway.fullname" . }} on port {{ .Values.gateway.service.port }} +{{- end }} +{{- if .Values.backend.enabled }} + - backend : Service {{ include "litellm.backend.fullname" . }} on port {{ .Values.backend.service.port }} +{{- end }} +{{- if .Values.ui.enabled }} + - ui : Service {{ include "litellm.ui.fullname" . }} on port {{ .Values.ui.service.port }} +{{- end }} + +Port-forward examples: + kubectl -n {{ .Release.Namespace }} port-forward svc/{{ include "litellm.gateway.fullname" . }} {{ .Values.gateway.service.port }} + kubectl -n {{ .Release.Namespace }} port-forward svc/{{ include "litellm.backend.fullname" . }} {{ .Values.backend.service.port }} + kubectl -n {{ .Release.Namespace }} port-forward svc/{{ include "litellm.ui.fullname" . }} {{ .Values.ui.service.port }} + +Reminders: + - Sensitive values come from Secret references only. Before installing, set: + - masterKey.secretName (Secret with the proxy master key) + - database.writer.{host,port,dbname} (writer connection pieces) + - database.writer.passwordSecret.{name,usernameKey,passwordKey} + (Secret holding the writer DB username + password) + - database.writer.useIAMAuth: true (optional — chart sets IAM_TOKEN_DB_AUTH=true and + omits DATABASE_PASSWORD / DATABASE_URL so the proxy + mints the URL from an IAM token at startup) + - database.reader.host (optional — enables read-replica routing; reader + .passwordSecret.name is required when set, unless + .useIAMAuth is true) + - database.reader.useIAMAuth: true (optional, requires database.writer.useIAMAuth: true — + chart emits DATABASE_*_READ_REPLICA env vars and + omits DATABASE_PASSWORD_READ_REPLICA / + DATABASE_URL_READ_REPLICA so the proxy mints the + reader URL from an IAM token at startup) + - redis.passwordSecret.name (optional — set when redis.host is provided and the + cache requires auth) + - redis.cluster: true (optional — chart sets REDIS_CLUSTER_NODES from + redis.host / redis.port so the proxy's Cache() + constructs a RedisClusterCache; the cluster client + discovers remaining nodes from CLUSTER SLOTS) + - Per-component extras (gateway / backend / ui): + - {component}.extraEnv / envConfigMaps / envSecrets (the latter two are lists of resource names → + envFrom configMapRef / secretRef) + - {component}.logLevel (renders as LITELLM_LOG) + - gateway.config.proxy_config (rendered into a ConfigMap and mounted at + /app/config/config.yaml; gateway reads it via + CONFIG_FILE_PATH) + - Enable ingress.enabled=true to dispatch / → ui, gateway data-plane prefixes → gateway, and the catch-all → backend. diff --git a/helm/litellm/templates/_helpers.tpl b/helm/litellm/templates/_helpers.tpl new file mode 100644 index 00000000000..e2faf42b766 --- /dev/null +++ b/helm/litellm/templates/_helpers.tpl @@ -0,0 +1,245 @@ +{{/* +Common naming + label helpers shared by gateway, backend, and ui templates. +*/}} + +{{- define "litellm.name" -}} +{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" -}} +{{- end -}} + +{{- define "litellm.fullname" -}} +{{- if .Values.fullnameOverride -}} +{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" -}} +{{- else -}} +{{- $name := default .Chart.Name .Values.nameOverride -}} +{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" -}} +{{- end -}} +{{- end -}} + +{{- define "litellm.gateway.fullname" -}} +{{- printf "%s-gateway" (include "litellm.fullname" .) | trunc 63 | trimSuffix "-" -}} +{{- end -}} + +{{- define "litellm.backend.fullname" -}} +{{- printf "%s-backend" (include "litellm.fullname" .) | trunc 63 | trimSuffix "-" -}} +{{- end -}} + +{{- define "litellm.ui.fullname" -}} +{{- printf "%s-ui" (include "litellm.fullname" .) | trunc 63 | trimSuffix "-" -}} +{{- end -}} + +{{- define "litellm.commonLabels" -}} +app.kubernetes.io/name: {{ include "litellm.name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +app.kubernetes.io/managed-by: {{ .Release.Service }} +helm.sh/chart: {{ printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" }} +{{- end -}} + +{{/* +Per-component selector labels — used in both Service selectors and Deployment matchLabels. +*/}} +{{- define "litellm.gateway.selectorLabels" -}} +app.kubernetes.io/name: {{ include "litellm.name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +app.kubernetes.io/component: gateway +{{- end -}} + +{{- define "litellm.backend.selectorLabels" -}} +app.kubernetes.io/name: {{ include "litellm.name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +app.kubernetes.io/component: backend +{{- end -}} + +{{- define "litellm.ui.selectorLabels" -}} +app.kubernetes.io/name: {{ include "litellm.name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +app.kubernetes.io/component: ui +{{- end -}} + +{{/* +Shared ServiceAccount name used by all three component Deployments. When +`serviceAccount.create` is true and `serviceAccount.name` is empty, default +to the chart fullname. When `create` is false, fall back to the provided +name or the namespace's `default` SA. +*/}} +{{- define "litellm.serviceAccountName" -}} +{{- if .Values.serviceAccount.create -}} +{{ default (include "litellm.fullname" .) .Values.serviceAccount.name }} +{{- else -}} +{{ default "default" .Values.serviceAccount.name }} +{{- end -}} +{{- end -}} + +{{/* +Master-key + database + redis env block — shared by gateway, backend, and the +migrations Job. + +Invoke with a dict: `(dict "root" $ "component" .Values.gateway)`. `root` is +the chart context (needed for .Values), `component` selects which component's +`extraEnv` / `logLevel` to render. + +Sensitive values (master key, DB username + password, Redis password) come +only from referenced Secrets; the chart never accepts inline values for them. + +The chart never assembles DATABASE_URL itself. It emits only the discrete +DATABASE_HOST/PORT/USER/NAME/SCHEMA (+ DATABASE_PASSWORD for password auth) +vars; the proxy's entrypoint (DatabaseURLSettings in +litellm/proxy/db/db_url_settings.py) builds the URL from them and +percent-encodes the credentials. Assembling the URL here via Kubernetes +`$(VAR)` substitution would embed the raw secret value, corrupting the URL +whenever the password contains a URL-reserved character (@, /, ?, %, +, +...) — as AWS RDS auto-generated passwords routinely do. + +When `database.writer.useIAMAuth: true`, the chart injects +IAM_TOKEN_DB_AUTH=true and omits DATABASE_PASSWORD — the entrypoint mints +the URL from DATABASE_HOST/PORT/USER/NAME plus a short-lived IAM token +instead of a static password. + +The read replica is opt-in via `database.reader.host`. The chart emits +DATABASE_HOST_READ_REPLICA / DATABASE_PORT_READ_REPLICA / +DATABASE_NAME_READ_REPLICA (+ DATABASE_SCHEMA_READ_REPLICA) for both auth +modes, plus DATABASE_USER_READ_REPLICA / DATABASE_PASSWORD_READ_REPLICA for +password auth. When `database.reader.useIAMAuth: true` it omits +DATABASE_PASSWORD_READ_REPLICA and the entrypoint mints the reader URL the +same way. Reader IAM only takes effect when the writer also uses IAM auth +(the proxy gates URL minting on IAM_TOKEN_DB_AUTH, which only the writer +sets). +*/}} +{{- define "litellm.serverEnv" -}} +{{- $root := .root -}} +{{- $component := .component -}} +- name: LITELLM_MASTER_KEY + valueFrom: + secretKeyRef: + name: {{ required "masterKey.secretName is required (the chart no longer accepts an inline master key)" $root.Values.masterKey.secretName }} + key: {{ $root.Values.masterKey.secretKey | default "master-key" }} +{{- if $component.logLevel }} +- name: LITELLM_LOG + value: {{ $component.logLevel | quote }} +{{- end }} +{{- with $root.Values.database.writer }} +- name: DATABASE_HOST + value: {{ required "database.writer.host is required" .host | quote }} +- name: DATABASE_PORT + value: {{ .port | default 5432 | quote }} +- name: DATABASE_USER + valueFrom: + secretKeyRef: + name: {{ required "database.writer.passwordSecret.name is required" .passwordSecret.name }} + key: {{ .passwordSecret.usernameKey | default "username" }} +- name: DATABASE_NAME + value: {{ required "database.writer.dbname is required" .dbname | quote }} +{{- if .schema }} +- name: DATABASE_SCHEMA + value: {{ .schema | quote }} +{{- end }} +{{- if .useIAMAuth }} +- name: IAM_TOKEN_DB_AUTH + value: "true" +{{- else }} +- name: DATABASE_PASSWORD + valueFrom: + secretKeyRef: + name: {{ .passwordSecret.name }} + key: {{ .passwordSecret.passwordKey | default "password" }} +{{- end }} +{{- end }} +{{- with $root.Values.database.reader }} +{{- if .host }} +{{- if and .useIAMAuth (not $root.Values.database.writer.useIAMAuth) }} +{{- fail "database.reader.useIAMAuth requires database.writer.useIAMAuth: true (the proxy gates IAM URL minting on IAM_TOKEN_DB_AUTH, which is only set by the writer)" }} +{{- end }} +- name: DATABASE_HOST_READ_REPLICA + value: {{ .host | quote }} +- name: DATABASE_PORT_READ_REPLICA + value: {{ .port | default 5432 | quote }} +- name: DATABASE_NAME_READ_REPLICA + value: {{ required "database.reader.dbname is required when database.reader.host is set" .dbname | quote }} +{{- if .schema }} +- name: DATABASE_SCHEMA_READ_REPLICA + value: {{ .schema | quote }} +{{- end }} +{{- if .useIAMAuth }} +{{- if .passwordSecret.name }} +- name: DATABASE_USER_READ_REPLICA + valueFrom: + secretKeyRef: + name: {{ .passwordSecret.name }} + key: {{ .passwordSecret.usernameKey | default "username" }} +{{- end }} +{{- else }} +{{- if not .passwordSecret.name }} +{{- fail "database.reader.passwordSecret.name is required when database.reader.host is set" }} +{{- end }} +- name: DATABASE_USER_READ_REPLICA + valueFrom: + secretKeyRef: + name: {{ .passwordSecret.name }} + key: {{ .passwordSecret.usernameKey | default "username" }} +- name: DATABASE_PASSWORD_READ_REPLICA + valueFrom: + secretKeyRef: + name: {{ .passwordSecret.name }} + key: {{ .passwordSecret.passwordKey | default "password" }} +{{- end }} +{{- end }} +{{- end }} +{{/* +The migrations Job (helm.sh/hook: pre-upgrade) is the single owner of +`prisma migrate deploy`. Without this, every gateway/backend pod also runs +Prisma schema-update on startup and contends with the Job — and with each +other — for Prisma's Postgres advisory lock on the writer, which makes the +Job's `migrate deploy` intermittently block until its per-attempt timeout +and retry-exhaust. The Job's entrypoint (migrations/run.py) does not import +proxy_server and never reads DISABLE_SCHEMA_UPDATE, so emitting it here is a +harmless no-op for the Job and authoritative for the app pods. +*/}} +- name: DISABLE_SCHEMA_UPDATE + value: "true" +{{- if $root.Values.redis.host }} +- name: REDIS_HOST + value: {{ $root.Values.redis.host | quote }} +- name: REDIS_PORT + value: {{ $root.Values.redis.port | quote }} +{{- if $root.Values.redis.passwordSecret.name }} +- name: REDIS_PASSWORD + valueFrom: + secretKeyRef: + name: {{ $root.Values.redis.passwordSecret.name }} + key: {{ $root.Values.redis.passwordSecret.passwordKey | default "password" }} +{{- end }} +{{- if $root.Values.redis.cluster }} +{{/* The proxy's Cache() reads REDIS_CLUSTER_NODES as JSON and constructs a + RedisClusterCache when it's set (litellm/caching/caching.py:169-192). + We seed with the single configured endpoint — the cluster client + discovers the remaining nodes from CLUSTER SLOTS at startup. */}} +- name: REDIS_CLUSTER_NODES + value: {{ printf "[{\"host\":%q,\"port\":%v}]" $root.Values.redis.host (int $root.Values.redis.port) | quote }} +{{- end }} +{{- end }} +{{- with $component.extraEnv }} +{{ toYaml . }} +{{- end }} +{{- end -}} + +{{/* +Renders `envFrom:` block for a component's `envConfigMaps` / `envSecrets` +lists. Each entry is a resource name; the chart wires the whole ConfigMap / +Secret into the container's env via configMapRef / secretRef. + +Invoke with just the component dict, e.g. `.Values.gateway`. Emits nothing +when both lists are empty so the container spec stays clean. +*/}} +{{- define "litellm.envFrom" -}} +{{- $component := . -}} +{{- if or $component.envConfigMaps $component.envSecrets }} +envFrom: +{{- range $component.envConfigMaps }} + - configMapRef: + name: {{ . }} +{{- end }} +{{- range $component.envSecrets }} + - secretRef: + name: {{ . }} +{{- end }} +{{- end }} +{{- end -}} diff --git a/helm/litellm/templates/backend/deployment.yaml b/helm/litellm/templates/backend/deployment.yaml new file mode 100644 index 00000000000..e761409f8c4 --- /dev/null +++ b/helm/litellm/templates/backend/deployment.yaml @@ -0,0 +1,60 @@ +{{- if .Values.backend.enabled }} +apiVersion: apps/v1 +kind: Deployment +metadata: + name: {{ include "litellm.backend.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: backend +spec: + selector: + matchLabels: + {{- include "litellm.backend.selectorLabels" . | nindent 6 }} + template: + metadata: + {{- with .Values.backend.podAnnotations }} + annotations: + {{- toYaml . | nindent 8 }} + {{- end }} + labels: + {{- include "litellm.backend.selectorLabels" . | nindent 8 }} + spec: + serviceAccountName: {{ include "litellm.serviceAccountName" . }} + {{- with .Values.imagePullSecrets }} + imagePullSecrets: + {{- toYaml . | nindent 8 }} + {{- end }} + containers: + - name: backend + image: "{{ .Values.backend.image.repository }}:{{ .Values.backend.image.tag | default .Chart.AppVersion }}" + imagePullPolicy: {{ .Values.backend.image.pullPolicy }} + ports: + - name: http + containerPort: 4001 + protocol: TCP + env: + {{- include "litellm.serverEnv" (dict "root" $ "component" .Values.backend) | nindent 12 }} + {{- include "litellm.envFrom" .Values.backend | nindent 10 }} + {{- with .Values.backend.livenessProbe }} + livenessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + {{- with .Values.backend.readinessProbe }} + readinessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + resources: + {{- toYaml .Values.backend.resources | nindent 12 }} + {{- with .Values.backend.nodeSelector }} + nodeSelector: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.backend.affinity }} + affinity: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.backend.tolerations }} + tolerations: + {{- toYaml . | nindent 8 }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/backend/hpa.yaml b/helm/litellm/templates/backend/hpa.yaml new file mode 100644 index 00000000000..d02f011d0bb --- /dev/null +++ b/helm/litellm/templates/backend/hpa.yaml @@ -0,0 +1,33 @@ +{{- if and .Values.backend.enabled .Values.backend.hpa.enabled }} +apiVersion: autoscaling/v2 +kind: HorizontalPodAutoscaler +metadata: + name: {{ include "litellm.backend.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: backend +spec: + scaleTargetRef: + apiVersion: apps/v1 + kind: Deployment + name: {{ include "litellm.backend.fullname" . }} + minReplicas: {{ .Values.backend.hpa.minReplicas }} + maxReplicas: {{ .Values.backend.hpa.maxReplicas }} + metrics: + {{- if .Values.backend.hpa.targetCPUUtilizationPercentage }} + - type: Resource + resource: + name: cpu + target: + type: Utilization + averageUtilization: {{ .Values.backend.hpa.targetCPUUtilizationPercentage }} + {{- end }} + {{- if .Values.backend.hpa.targetMemoryUtilizationPercentage }} + - type: Resource + resource: + name: memory + target: + type: Utilization + averageUtilization: {{ .Values.backend.hpa.targetMemoryUtilizationPercentage }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/backend/service.yaml b/helm/litellm/templates/backend/service.yaml new file mode 100644 index 00000000000..d480c654784 --- /dev/null +++ b/helm/litellm/templates/backend/service.yaml @@ -0,0 +1,18 @@ +{{- if .Values.backend.enabled }} +apiVersion: v1 +kind: Service +metadata: + name: {{ include "litellm.backend.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: backend +spec: + type: {{ .Values.backend.service.type }} + ports: + - port: {{ .Values.backend.service.port }} + targetPort: http + protocol: TCP + name: http + selector: + {{- include "litellm.backend.selectorLabels" . | nindent 4 }} +{{- end }} diff --git a/helm/litellm/templates/gateway/configmap.yaml b/helm/litellm/templates/gateway/configmap.yaml new file mode 100644 index 00000000000..d262bf25b87 --- /dev/null +++ b/helm/litellm/templates/gateway/configmap.yaml @@ -0,0 +1,9 @@ +{{- if .Values.gateway.config.create }} +apiVersion: v1 +kind: ConfigMap +metadata: + name: {{ include "litellm.gateway.fullname" . }}-config +data: + config.yaml: | +{{ .Values.gateway.config.proxy_config | toYaml | indent 6 }} +{{- end }} diff --git a/helm/litellm/templates/gateway/deployment.yaml b/helm/litellm/templates/gateway/deployment.yaml new file mode 100644 index 00000000000..935d432342e --- /dev/null +++ b/helm/litellm/templates/gateway/deployment.yaml @@ -0,0 +1,83 @@ +{{- if .Values.gateway.enabled }} +apiVersion: apps/v1 +kind: Deployment +metadata: + name: {{ include "litellm.gateway.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: gateway +spec: + selector: + matchLabels: + {{- include "litellm.gateway.selectorLabels" . | nindent 6 }} + template: + metadata: + annotations: + {{- if .Values.gateway.config.create }} + checksum/config: {{ include (print $.Template.BasePath "/gateway/configmap.yaml") . | sha256sum }} + {{- end }} + {{- with .Values.gateway.podAnnotations }} + {{- toYaml . | nindent 8 }} + {{- end }} + labels: + {{- include "litellm.gateway.selectorLabels" . | nindent 8 }} + spec: + serviceAccountName: {{ include "litellm.serviceAccountName" . }} + {{- with .Values.imagePullSecrets }} + imagePullSecrets: + {{- toYaml . | nindent 8 }} + {{- end }} + containers: + - name: gateway + image: "{{ .Values.gateway.image.repository }}:{{ .Values.gateway.image.tag | default .Chart.AppVersion }}" + imagePullPolicy: {{ .Values.gateway.image.pullPolicy }} + ports: + - name: http + containerPort: 4000 + protocol: TCP + env: + {{- include "litellm.serverEnv" (dict "root" $ "component" .Values.gateway) | nindent 12 }} + {{- if .Values.gateway.config.create }} + - name: CONFIG_FILE_PATH + value: /app/config/config.yaml + {{- end }} + {{- if .Values.gateway.numWorkers }} + - name: NUM_WORKERS + value: {{ .Values.gateway.numWorkers | quote }} + {{- end }} + {{- include "litellm.envFrom" .Values.gateway | nindent 10 }} + {{- if .Values.gateway.config.create }} + volumeMounts: + - name: gateway-config + mountPath: /app/config/config.yaml + subPath: config.yaml + {{- end }} + {{- with .Values.gateway.livenessProbe }} + livenessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + {{- with .Values.gateway.readinessProbe }} + readinessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + resources: + {{- toYaml .Values.gateway.resources | nindent 12 }} + {{- if .Values.gateway.config.create }} + volumes: + - name: gateway-config + configMap: + name: {{ include "litellm.gateway.fullname" . }}-config + {{- end }} + {{- with .Values.gateway.nodeSelector }} + nodeSelector: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.gateway.affinity }} + affinity: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.gateway.tolerations }} + tolerations: + {{- toYaml . | nindent 8 }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/gateway/hpa.yaml b/helm/litellm/templates/gateway/hpa.yaml new file mode 100644 index 00000000000..27c4f05ba59 --- /dev/null +++ b/helm/litellm/templates/gateway/hpa.yaml @@ -0,0 +1,33 @@ +{{- if and .Values.gateway.enabled .Values.gateway.hpa.enabled }} +apiVersion: autoscaling/v2 +kind: HorizontalPodAutoscaler +metadata: + name: {{ include "litellm.gateway.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: gateway +spec: + scaleTargetRef: + apiVersion: apps/v1 + kind: Deployment + name: {{ include "litellm.gateway.fullname" . }} + minReplicas: {{ .Values.gateway.hpa.minReplicas }} + maxReplicas: {{ .Values.gateway.hpa.maxReplicas }} + metrics: + {{- if .Values.gateway.hpa.targetCPUUtilizationPercentage }} + - type: Resource + resource: + name: cpu + target: + type: Utilization + averageUtilization: {{ .Values.gateway.hpa.targetCPUUtilizationPercentage }} + {{- end }} + {{- if .Values.gateway.hpa.targetMemoryUtilizationPercentage }} + - type: Resource + resource: + name: memory + target: + type: Utilization + averageUtilization: {{ .Values.gateway.hpa.targetMemoryUtilizationPercentage }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/gateway/service.yaml b/helm/litellm/templates/gateway/service.yaml new file mode 100644 index 00000000000..03a4167a0ab --- /dev/null +++ b/helm/litellm/templates/gateway/service.yaml @@ -0,0 +1,18 @@ +{{- if .Values.gateway.enabled }} +apiVersion: v1 +kind: Service +metadata: + name: {{ include "litellm.gateway.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: gateway +spec: + type: {{ .Values.gateway.service.type }} + ports: + - port: {{ .Values.gateway.service.port }} + targetPort: http + protocol: TCP + name: http + selector: + {{- include "litellm.gateway.selectorLabels" . | nindent 4 }} +{{- end }} diff --git a/helm/litellm/templates/ingress.yaml b/helm/litellm/templates/ingress.yaml new file mode 100644 index 00000000000..30a8e7c974b --- /dev/null +++ b/helm/litellm/templates/ingress.yaml @@ -0,0 +1,153 @@ +{{- if .Values.ingress.enabled -}} +{{- $gatewayName := include "litellm.gateway.fullname" . -}} +{{- $backendName := include "litellm.backend.fullname" . -}} +{{- $uiName := include "litellm.ui.fullname" . -}} +{{- $gatewayPort := .Values.gateway.service.port -}} +{{- $backendPort := .Values.backend.service.port -}} +{{- $uiPort := .Values.ui.service.port -}} +{{/* + Gateway data-plane prefixes — must mirror gateway/routes/allowlist.py. + Versioned paths are listed explicitly to avoid routing management routes + (e.g. /v1/access_group, /v2/key/info, /v1/tool/*, /v1/agents, /v1/workflows, + /v2/user/info, /v2/team/list, /v2/model/info, /v2/login, /v2/guardrails/*, + /v1/mcp/*) onto the gateway via a broad /v1 or /v2 prefix. +*/}} +{{- $gatewayPrefixes := list + "/v1/chat" "/chat" "/v1/completions" "/completions" "/v1/embeddings" "/embeddings" + "/v1/moderations" "/moderations" "/v1/audio" "/audio" "/v1/images" "/images" + "/v1/files" "/files" "/v1/batches" "/batches" "/v1/fine_tuning" "/fine_tuning" + "/v1/fine-tuning" "/fine-tuning" "/v1/responses" "/responses" "/v1/threads" "/threads" + "/v1/assistants" "/assistants" "/v1/vector_stores" "/vector_stores" "/v1/indexes" + "/v1/models" "/models" "/openai" "/engines" + "/v1/messages" "/messages" "/v1/skills" "/v1/a2a" + "/v1/rerank" "/v2/rerank" "/rerank" "/v1/ocr" "/ocr" "/v1/rag" "/rag" + "/v1/video" "/v1/videos" "/video" "/videos" "/v1/search" "/search" + "/v1/containers" "/containers" "/v1/evals" "/v1/memory" "/queue/chat" + "/v1beta" "/interactions" + "/anthropic" "/azure" "/azure_ai" "/aws" "/bedrock" "/cohere" "/gemini" "/google" + "/vertex_ai" "/vertex-ai" "/assemblyai" "/eu.assemblyai" "/langfuse" "/vllm" + "/mistral" "/groq" "/voyage" "/cursor" "/milvus" "/openai_passthrough" + "/toolset" + "/v1/realtime" "/realtime" + "/health" "/metrics" +-}} +{{/* + /test is gateway-only as an EXACT path (GATEWAY_EXACT_PATHS), but its + children /test/connection and /test/tools/list are MCP-server management + endpoints kept only on the backend ("/test/" in BACKEND_PATH_PREFIXES). + A Prefix match here would route /test/* to the gateway, which trims those + routes at startup -> 404. So /test is rendered as a standalone Exact path + and /test/* falls through to the backend catch-all. +*/}} +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: {{ include "litellm.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + {{- with .Values.ingress.annotations }} + annotations: + {{- toYaml . | nindent 4 }} + {{- end }} +spec: + {{- with .Values.ingress.className }} + ingressClassName: {{ . | quote }} + {{- end }} + {{- with .Values.ingress.tls }} + tls: + {{- toYaml . | nindent 4 }} + {{- end }} + rules: + - {{- with .Values.ingress.host }} + host: {{ . | quote }} + {{- end }} + http: + paths: + # --- UI (Next.js static export) --- + - path: / + pathType: Exact + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + - path: /favicon.ico + pathType: Exact + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + - path: /litellm-asset-prefix + pathType: Prefix + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + - path: /_next + pathType: Prefix + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + # /ui/* is where the Next.js SPA serves its login + dashboard + # routes (e.g. /ui/login). Without this, /ui/* falls into the + # catch-all → backend → 404. + - path: /ui + pathType: Prefix + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + # Next.js App Router (output: "export", basePath: "") emits the + # RSC/flight payload for every route as a ROOT-level .txt + # (/index.txt, /teams.txt, /__next._tree.txt, ...). The client + # router fetches these on every soft navigation / prefetch as + # .txt?_rsc= (the query string is irrelevant to path + # matching). They are not under /ui, /_next, or + # /litellm-asset-prefix, so without this rule they fall to the + # backend catch-all → 404 → client-side navigation never settles + # and the login flow spins in an infinite redirect loop + # (/ ⇄ /ui/login). ui/nginx.conf already serves *.txt from the + # export; this rule only routes the request to it. Needs an + # ingress controller whose ImplementationSpecific path is a + # wildcard pattern (AWS ALB: `*` = 0+ chars); this chart targets + # the AWS Load Balancer Controller. + - path: /*.txt + pathType: ImplementationSpecific + backend: + service: + name: {{ $uiName }} + port: + number: {{ $uiPort }} + # --- Gateway data plane --- + # Exact /test only (see the $gatewayPrefixes comment above); + # /test/* MCP management endpoints fall to the backend catch-all. + - path: /test + pathType: Exact + backend: + service: + name: {{ $gatewayName }} + port: + number: {{ $gatewayPort }} + {{- range $gatewayPrefixes }} + - path: {{ . }} + pathType: Prefix + backend: + service: + name: {{ $gatewayName }} + port: + number: {{ $gatewayPort }} + {{- end }} + # --- Catch-all → backend (management API: /key/*, /user/*, /team/*, ...) --- + - path: / + pathType: Prefix + backend: + service: + name: {{ $backendName }} + port: + number: {{ $backendPort }} +{{- end }} diff --git a/helm/litellm/templates/migrations-job.yaml b/helm/litellm/templates/migrations-job.yaml new file mode 100644 index 00000000000..f3dc2ae0236 --- /dev/null +++ b/helm/litellm/templates/migrations-job.yaml @@ -0,0 +1,46 @@ +{{- if .Values.migrationJob.enabled -}} +# Pre-install / pre-upgrade hook that runs `prisma migrate deploy` against +# the writer database before the gateway and backend Deployments are rolled +# out. Required because the gateway and backend both spin up Prisma at +# startup and assume the LiteLLM schema (LiteLLM_Config, +# LiteLLM_VerificationToken, LiteLLM_SpendLogs, ...) already exists. +# +# Running this pre-upgrade closes the window where new application pods would +# otherwise serve traffic against the previous release's unmigrated schema. +apiVersion: batch/v1 +kind: Job +metadata: + name: {{ include "litellm.fullname" . }}-migrations + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: migrations + annotations: + helm.sh/hook: pre-install,pre-upgrade + helm.sh/hook-delete-policy: before-hook-creation + helm.sh/hook-weight: "0" +spec: + backoffLimit: {{ .Values.migrationJob.backoffLimit }} + ttlSecondsAfterFinished: {{ .Values.migrationJob.ttlSecondsAfterFinished }} + template: + metadata: + labels: + {{- include "litellm.commonLabels" . | nindent 8 }} + app.kubernetes.io/component: migrations + spec: + restartPolicy: Never + serviceAccountName: {{ include "litellm.serviceAccountName" . }} + {{- with .Values.imagePullSecrets }} + imagePullSecrets: + {{- toYaml . | nindent 8 }} + {{- end }} + containers: + - name: prisma-migrations + image: "{{ .Values.migrationJob.image.repository }}:{{ .Values.migrationJob.image.tag | default .Chart.AppVersion }}" + imagePullPolicy: {{ .Values.migrationJob.image.pullPolicy }} + env: + {{- include "litellm.serverEnv" (dict "root" $ "component" .Values.migrationJob) | nindent 12 }} + {{- with .Values.migrationJob.resources }} + resources: + {{- toYaml . | nindent 12 }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/serviceaccount.yaml b/helm/litellm/templates/serviceaccount.yaml new file mode 100644 index 00000000000..3c998448ae5 --- /dev/null +++ b/helm/litellm/templates/serviceaccount.yaml @@ -0,0 +1,13 @@ +{{- if .Values.serviceAccount.create -}} +apiVersion: v1 +kind: ServiceAccount +metadata: + name: {{ include "litellm.serviceAccountName" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + {{- with .Values.serviceAccount.annotations }} + annotations: + {{- toYaml . | nindent 4 }} + {{- end }} +automountServiceAccountToken: {{ .Values.serviceAccount.automount }} +{{- end }} diff --git a/helm/litellm/templates/ui/deployment.yaml b/helm/litellm/templates/ui/deployment.yaml new file mode 100644 index 00000000000..549bf61a0dd --- /dev/null +++ b/helm/litellm/templates/ui/deployment.yaml @@ -0,0 +1,70 @@ +{{- if .Values.ui.enabled }} +apiVersion: apps/v1 +kind: Deployment +metadata: + name: {{ include "litellm.ui.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: ui +spec: + selector: + matchLabels: + {{- include "litellm.ui.selectorLabels" . | nindent 6 }} + template: + metadata: + {{- with .Values.ui.podAnnotations }} + annotations: + {{- toYaml . | nindent 8 }} + {{- end }} + labels: + {{- include "litellm.ui.selectorLabels" . | nindent 8 }} + spec: + serviceAccountName: {{ include "litellm.serviceAccountName" . }} + {{- with .Values.imagePullSecrets }} + imagePullSecrets: + {{- toYaml . | nindent 8 }} + {{- end }} + containers: + - name: ui + image: "{{ .Values.ui.image.repository }}:{{ .Values.ui.image.tag | default .Chart.AppVersion }}" + imagePullPolicy: {{ .Values.ui.image.pullPolicy }} + ports: + - name: http + containerPort: 3000 + protocol: TCP + env: + {{- if .Values.ui.logLevel }} + - name: LITELLM_LOG + value: {{ .Values.ui.logLevel | quote }} + {{- end }} + {{- if .Values.ui.backendUrl }} + - name: LITELLM_BACKEND_URL + value: {{ .Values.ui.backendUrl | quote }} + {{- end }} + {{- with .Values.ui.extraEnv }} + {{- toYaml . | nindent 12 }} + {{- end }} + {{- include "litellm.envFrom" .Values.ui | nindent 10 }} + {{- with .Values.ui.livenessProbe }} + livenessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + {{- with .Values.ui.readinessProbe }} + readinessProbe: + {{- toYaml . | nindent 12 }} + {{- end }} + resources: + {{- toYaml .Values.ui.resources | nindent 12 }} + {{- with .Values.ui.nodeSelector }} + nodeSelector: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.ui.affinity }} + affinity: + {{- toYaml . | nindent 8 }} + {{- end }} + {{- with .Values.ui.tolerations }} + tolerations: + {{- toYaml . | nindent 8 }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/ui/hpa.yaml b/helm/litellm/templates/ui/hpa.yaml new file mode 100644 index 00000000000..b43eda5ac4a --- /dev/null +++ b/helm/litellm/templates/ui/hpa.yaml @@ -0,0 +1,33 @@ +{{- if and .Values.ui.enabled .Values.ui.hpa.enabled }} +apiVersion: autoscaling/v2 +kind: HorizontalPodAutoscaler +metadata: + name: {{ include "litellm.ui.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: ui +spec: + scaleTargetRef: + apiVersion: apps/v1 + kind: Deployment + name: {{ include "litellm.ui.fullname" . }} + minReplicas: {{ .Values.ui.hpa.minReplicas }} + maxReplicas: {{ .Values.ui.hpa.maxReplicas }} + metrics: + {{- if .Values.ui.hpa.targetCPUUtilizationPercentage }} + - type: Resource + resource: + name: cpu + target: + type: Utilization + averageUtilization: {{ .Values.ui.hpa.targetCPUUtilizationPercentage }} + {{- end }} + {{- if .Values.ui.hpa.targetMemoryUtilizationPercentage }} + - type: Resource + resource: + name: memory + target: + type: Utilization + averageUtilization: {{ .Values.ui.hpa.targetMemoryUtilizationPercentage }} + {{- end }} +{{- end }} diff --git a/helm/litellm/templates/ui/service.yaml b/helm/litellm/templates/ui/service.yaml new file mode 100644 index 00000000000..52b539fa00c --- /dev/null +++ b/helm/litellm/templates/ui/service.yaml @@ -0,0 +1,18 @@ +{{- if .Values.ui.enabled }} +apiVersion: v1 +kind: Service +metadata: + name: {{ include "litellm.ui.fullname" . }} + labels: + {{- include "litellm.commonLabels" . | nindent 4 }} + app.kubernetes.io/component: ui +spec: + type: {{ .Values.ui.service.type }} + ports: + - port: {{ .Values.ui.service.port }} + targetPort: http + protocol: TCP + name: http + selector: + {{- include "litellm.ui.selectorLabels" . | nindent 4 }} +{{- end }} diff --git a/helm/litellm/values.yaml b/helm/litellm/values.yaml new file mode 100644 index 00000000000..92477616a9a --- /dev/null +++ b/helm/litellm/values.yaml @@ -0,0 +1,225 @@ +# LiteLLM helm chart values + +nameOverride: "" +fullnameOverride: "" + +imagePullSecrets: [] + +# Optional Ingress wiring the three component Services behind a single L7 +# entrypoint. Required when serving the static UI bundle over the network. +ingress: + enabled: false + className: "" + annotations: {} + host: "" # optional; if set, becomes the rule's host + tls: [] + +# Shared ServiceAccount used by all three component Deployments. Set +# `create: true` to have the chart provision it (e.g. when wiring an EKS +# Pod Identity association by SA name). Set `name` to use an existing SA +# (chart-created or out-of-band). When both are empty / false, pods run +# with the namespace's `default` SA. +serviceAccount: + create: false + automount: true + annotations: {} + name: "" + +# Pre-install / pre-upgrade Helm hook that runs `prisma migrate deploy` +# against the writer database, creating the LiteLLM schema (tables that +# gateway + backend assume exist at startup: LiteLLM_Config, +# LiteLLM_VerificationToken, LiteLLM_SpendLogs, ...). Disable if your +# pipeline runs migrations out-of-band. +# +# Uses a dedicated `litellm-migrations` image (prisma CLI + the migration +# files from `litellm-proxy-extras`) instead of the backend image, so the +# Job doesn't drag in the rest of the proxy and doesn't run `prisma +# generate` — the migration engine doesn't need the generated client. +migrationJob: + enabled: true + backoffLimit: 4 + ttlSecondsAfterFinished: 120 + resources: {} + image: + repository: ghcr.io/berriai/litellm-migrations + tag: "" # defaults to .Chart.AppVersion + pullPolicy: IfNotPresent + # Extra env appended to the migration container. The migration entrypoint + # uses the v2 resolver by default (no diff-and-force recovery — avoids the + # schema thrashing seen during rolling deploys). To opt back into the v1 + # resolver, append `- name: USE_V2_MIGRATION_RESOLVER` / `value: "false"`. + extraEnv: [] + +# Required: a master key used by gateway + backend to mint/verify proxy tokens. +# Must reference an existing Secret. +masterKey: + secretName: litellm-master-key-secret # name of a Secret containing the master key + secretKey: master-key + +# External Postgres connection. +database: + writer: + host: "" + port: 5432 + dbname: "" + schema: "" + useIAMAuth: false + passwordSecret: + name: litellm-writer-secret + usernameKey: username + passwordKey: password + + # Optional read-replica routing. When `reader.host` is set, the proxy routes + # reads (find_*, count, group_by, query_raw/_first) to this endpoint while + # writes stay on the writer. Leave `reader.host` empty to disable. + reader: + host: "" + port: 5432 + dbname: "" + schema: "" + useIAMAuth: false + passwordSecret: + name: litellm-reader-secret + usernameKey: username + passwordKey: password + +# Optional Redis (caching, rate limiting). Leave host empty to disable. +# +# Set `cluster: true` for Redis Cluster mode (e.g. AWS ElastiCache Cluster, +# self-hosted Redis Cluster). The chart emits REDIS_CLUSTER_NODES from +# `host` / `port` as the single seed; the cluster client discovers the +# remaining nodes from CLUSTER SLOTS at startup. +redis: + cluster: false + host: "" + port: 6379 + passwordSecret: + name: "" # Leave empty for auth-less Redis + passwordKey: password + +# ---------- gateway (LLM data plane) ---------- +gateway: + enabled: true + logLevel: INFO + # Number of uvicorn worker processes per gateway pod. Sets NUM_WORKERS, + # consumed by the gateway image entrypoint. Default is 1. + numWorkers: 1 + extraEnv: [] # Add extra environment variables to the gateway + envConfigMaps: [] # Add extra environment variables to the gateway from config maps + envSecrets: [] # Add extra environment variables to the gateway from secrets + config: + create: true + proxy_config: {} + image: + repository: ghcr.io/berriai/litellm-gateway + tag: "" # defaults to .Chart.AppVersion + pullPolicy: IfNotPresent + service: + type: ClusterIP + port: 4000 + resources: + requests: + cpu: "1" + memory: 4Gi + limits: + cpu: "2" + memory: 4Gi + livenessProbe: + httpGet: { path: /health/liveliness, port: http } + initialDelaySeconds: 10 + periodSeconds: 15 + readinessProbe: + httpGet: { path: /health/readiness, port: http } + initialDelaySeconds: 5 + periodSeconds: 10 + hpa: + enabled: true + minReplicas: 1 + maxReplicas: 10 + targetCPUUtilizationPercentage: 70 + targetMemoryUtilizationPercentage: 80 + podAnnotations: {} + nodeSelector: {} + tolerations: [] + affinity: {} + +# ---------- backend (UI / management API) ---------- +backend: + enabled: true + logLevel: INFO + extraEnv: [] + envConfigMaps: [] + envSecrets: [] + image: + repository: ghcr.io/berriai/litellm-backend + tag: "" + pullPolicy: IfNotPresent + service: + type: ClusterIP + port: 4001 + resources: + requests: + cpu: "1" + memory: 4Gi + limits: + cpu: "2" + memory: 4Gi + livenessProbe: + httpGet: { path: /health/liveliness, port: http } + initialDelaySeconds: 10 + periodSeconds: 15 + readinessProbe: + httpGet: { path: /health/readiness, port: http } + initialDelaySeconds: 5 + periodSeconds: 10 + hpa: + enabled: true + minReplicas: 1 + maxReplicas: 4 + targetCPUUtilizationPercentage: 70 + podAnnotations: {} + nodeSelector: {} + tolerations: [] + affinity: {} + +# ---------- ui (Next.js static dashboard) ---------- +ui: + enabled: true + logLevel: INFO + extraEnv: [] + envConfigMaps: [] + envSecrets: [] + image: + repository: ghcr.io/berriai/litellm-ui + tag: "" + pullPolicy: IfNotPresent + service: + type: ClusterIP + port: 3000 + # The dashboard expects to know where to reach the backend API. Set this to + # the externally-routable URL (typically the ingress host + /api or similar). + backendUrl: "" + resources: + requests: + cpu: 500m + memory: 500Mi + limits: + cpu: "1" + memory: 1Gi + livenessProbe: + httpGet: { path: /, port: http } + initialDelaySeconds: 5 + periodSeconds: 20 + readinessProbe: + httpGet: { path: /, port: http } + initialDelaySeconds: 2 + periodSeconds: 10 + hpa: + enabled: false + minReplicas: 1 + maxReplicas: 3 + targetCPUUtilizationPercentage: 80 + podAnnotations: {} + nodeSelector: {} + tolerations: [] + affinity: {} diff --git a/license_cache.json b/license_cache.json index 4b09afacaa3..803db8fdd1b 100644 --- a/license_cache.json +++ b/license_cache.json @@ -49,5 +49,12 @@ "grpc-google-iam-v1:0.14.3": "Apache 2.0", "h11:0.16.0": "MIT", "requests-toolbelt:1.0.0": "Apache 2.0", - "tornado:6.5.4": "Apache-2.0" + "tornado:6.5.4": "Apache-2.0", + "mlflow:3.11.1": "Copyright 2018 Databricks, Inc. 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The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an \"about box\". You should also get your employer (if you work as a programmer) or school, if any, to sign a \"copyright disclaimer\" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read .", + "vcrpy:8.1.1": "MIT", + "langchain-openai:1.1.14": "MIT", + "grpc-google-iam-v1:0.14.4": "Apache 2.0", + "tornado:6.5.5": "Apache-2.0" } \ No newline at end of file diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py index 48d7a07a569..2de8e8bf7f1 100644 --- a/litellm/integrations/opentelemetry.py +++ b/litellm/integrations/opentelemetry.py @@ -1,7 +1,7 @@ import os -from dataclasses import dataclass +from dataclasses import dataclass, field from datetime import datetime -from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, cast +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Union, cast import litellm from litellm._logging import verbose_logger @@ -10,6 +10,12 @@ from litellm.integrations._types.open_inference import ( SpanAttributes, ) from litellm.integrations.custom_logger import CustomLogger +from litellm.integrations.opentelemetry_utils.gen_ai_semconv import ( + OTEL_SEMCONV_STABILITY_OPT_IN_ENV, + OTELGenAISemconvMixin, + OTELSemconvCategory, + parse_semconv_opt_in, +) from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.secret_managers.main import get_secret_bool, str_to_bool from litellm.types.services import ServiceLoggerPayload @@ -53,6 +59,11 @@ LITELLM_TRACER_NAME = os.getenv("OTEL_TRACER_NAME", "litellm") LITELLM_METER_NAME = os.getenv("LITELLM_METER_NAME", "litellm") LITELLM_LOGGER_NAME = os.getenv("LITELLM_LOGGER_NAME", "litellm") LITELLM_PROXY_REQUEST_SPAN_NAME = "Received Proxy Server Request" +# OTel-standard names. status is also kept under error.code for back compat. +HTTP_RESPONSE_STATUS_CODE_ATTRIBUTE = "http.response.status_code" +HTTP_ROUTE_ATTRIBUTE = "http.route" +URL_PATH_ATTRIBUTE = "url.path" +PREPROCESSING_DURATION_MS_ATTRIBUTE = "litellm.preprocessing.duration_ms" # Remove the hardcoded LITELLM_RESOURCE dictionary - we'll create it properly later RAW_REQUEST_SPAN_NAME = "raw_gen_ai_request" LITELLM_REQUEST_SPAN_NAME = "litellm_request" @@ -85,6 +96,7 @@ class OpenTelemetryConfig: # Programmatic override for OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT. # One of NO_CONTENT, SPAN_ONLY, EVENT_ONLY, SPAN_AND_EVENT (or "true" as legacy alias). capture_message_content: Optional[str] = None + semconv_stability_opt_in: Set[OTELSemconvCategory] = field(default_factory=set) def __post_init__(self) -> None: # If endpoint is specified but exporter is still the default "console", @@ -110,6 +122,11 @@ class OpenTelemetryConfig: self.ignore_context_propagation = str_to_bool( os.getenv("OTEL_IGNORE_CONTEXT_PROPAGATION") ) + # Resolve the env opt-in once here so self.semconv_stability_opt_in is the + # single source of truth: the union of programmatic and env categories. + self.semconv_stability_opt_in |= parse_semconv_opt_in( + os.getenv(OTEL_SEMCONV_STABILITY_OPT_IN_ENV) + ) @classmethod def from_env(cls): @@ -157,7 +174,7 @@ class OpenTelemetryConfig: ) -class OpenTelemetry(CustomLogger): +class OpenTelemetry(OTELGenAISemconvMixin, CustomLogger): def __init__( self, config: Optional[OpenTelemetryConfig] = None, @@ -655,6 +672,31 @@ class OpenTelemetry(CustomLogger): parent_otel_span = user_api_key_dict.parent_otel_span if parent_otel_span is not None: parent_otel_span.set_status(Status(StatusCode.ERROR)) + + # Stamp structured error attrs on the SERVER span itself; the + # failure path otherwise only sets its status (_handle_failure + # records on the litellm_request child span). Inline import: + # litellm_logging <-> integrations is circular. + from litellm.litellm_core_utils.litellm_logging import ( + StandardLoggingPayloadSetup, + ) + + error_information = StandardLoggingPayloadSetup.get_error_information( + original_exception=original_exception, + traceback_str=traceback_str, + ) + self._record_exception_on_span( + span=parent_otel_span, + kwargs={ + "exception": original_exception, + "standard_logging_object": {"error_information": error_information}, + }, + ) + + # Pre-request latency (request_data carries the propagated + # metadata on the failure path; omitted if it failed before handoff). + self.set_preprocessing_duration_attribute(parent_otel_span, request_data) + _span_name = "Failed Proxy Server Request" # Exception Logging Child Span @@ -691,6 +733,14 @@ class OpenTelemetry(CustomLogger): ctx, _ = self._get_span_context(kwargs, default_span=parent_span) + # Pre-request latency on the SERVER span (success path). + self.set_preprocessing_duration_attribute(parent_span, kwargs) + + # http.response.status_code on the SERVER span (success path). + # A successful proxy response is HTTP 200; the failure path sets + # this from the error code in _record_exception_on_span. + self.set_response_status_code_attribute(parent_span, 200) + # 3. Guardrail span self._create_guardrail_span(kwargs=kwargs, context=ctx) @@ -979,13 +1029,14 @@ class OpenTelemetry(CustomLogger): otel_tracer: Tracer = self.get_tracer_to_use_for_request(kwargs) - # Always create a new span - # The parent relationship is preserved through the context parameter - span = otel_tracer.start_span( - name=self._get_span_name(kwargs), - start_time=self._to_ns(start_time), - context=context, - ) + span_kwargs: Dict[str, Any] = { + "name": self._get_span_name(kwargs), + "start_time": self._to_ns(start_time), + "context": context, + } + if self._gen_ai_semconv_latest_experimental: + span_kwargs["kind"] = self.span_kind.CLIENT + span = otel_tracer.start_span(**span_kwargs) span.set_status(Status(StatusCode.OK)) self.set_attributes(span, kwargs, response_obj) @@ -998,6 +1049,10 @@ class OpenTelemetry(CustomLogger): from opentelemetry import trace from opentelemetry.trace import Status, StatusCode + # raw_gen_ai_request is non-standard in semconv mode. + if self._gen_ai_semconv_latest_experimental: + return + if not self._capture_in_span(): return @@ -1023,7 +1078,11 @@ class OpenTelemetry(CustomLogger): provider = params.get("custom_llm_provider", "Unknown") common_attrs = { - "gen_ai.operation.name": "chat", + "gen_ai.operation.name": ( + self._gen_ai_operation_name(kwargs) + if self._gen_ai_semconv_latest_experimental + else "chat" + ), "gen_ai.system": provider, "gen_ai.request.model": kwargs.get("model"), "gen_ai.framework": "litellm", @@ -1246,6 +1305,24 @@ class OpenTelemetry(CustomLogger): response_duration_seconds, attributes=common_attrs ) + @staticmethod + def _otel_log_types(): + """Resolve ``(LogRecord, SeverityNumber)`` across OTEL SDK versions. + + ``LogRecord`` moved out of ``opentelemetry.sdk._logs`` in OTEL >= 1.39.0 + (open-telemetry/opentelemetry-python#4676). Imports stay function-local + because the SDK is an optional dependency. + """ + from opentelemetry._logs import SeverityNumber + + try: + from opentelemetry.sdk._logs import LogRecord # OTEL < 1.39.0 + except ImportError: + from opentelemetry.sdk._logs._internal import ( # OTEL >= 1.39.0 + LogRecord, + ) + return LogRecord, SeverityNumber + def _emit_semantic_logs(self, kwargs, response_obj, span: Span): if not self.config.enable_events: return @@ -1259,16 +1336,7 @@ class OpenTelemetry(CustomLogger): # See: https://github.com/open-telemetry/opentelemetry-python/pull/4676 # TODO: Refactor to use the proper OTEL Logs API instead of directly creating SDK LogRecords - from opentelemetry._logs import SeverityNumber - - try: - from opentelemetry.sdk._logs import ( # type: ignore[attr-defined] # OTEL < 1.39.0 - LogRecord as SdkLogRecord, - ) - except ImportError: - from opentelemetry.sdk._logs._internal import ( - LogRecord as SdkLogRecord, # type: ignore[attr-defined] # OTEL >= 1.39.0 - ) + SdkLogRecord, SeverityNumber = self._otel_log_types() # Resolve through the handler's own LoggerProvider (which may be a # private one when skip_set_global=True) rather than the module-level @@ -1280,6 +1348,16 @@ class OpenTelemetry(CustomLogger): "custom_llm_provider", "Unknown" ) + if self._gen_ai_semconv_latest_experimental: + self._emit_inference_details_event( + kwargs=kwargs, + response_obj=response_obj, + provider=provider, + otel_logger=otel_logger, + parent_ctx=parent_ctx, + ) + return + # per-message events for msg in kwargs.get("messages", []): role = msg.get("role", "user") @@ -1496,11 +1574,14 @@ class OpenTelemetry(CustomLogger): if should_create_primary_span: # Span 1: Request sent to litellm SDK otel_tracer: Tracer = self.get_tracer_to_use_for_request(kwargs) - span = otel_tracer.start_span( - name=self._get_span_name(kwargs), - start_time=self._to_ns(start_time), - context=_parent_context, - ) + span_kwargs: Dict[str, Any] = { + "name": self._get_span_name(kwargs), + "start_time": self._to_ns(start_time), + "context": _parent_context, + } + if self._gen_ai_semconv_latest_experimental: + span_kwargs["kind"] = self.span_kind.CLIENT + span = otel_tracer.start_span(**span_kwargs) span.set_status(Status(StatusCode.ERROR)) self.set_attributes(span, kwargs, response_obj) @@ -1584,6 +1665,19 @@ class OpenTelemetry(CustomLogger): value=error_information["error_code"], ) + # Also expose under the OTel-standard name as an int + # (error_code is a str, may be non-numeric). + _error_code_val = error_information["error_code"] + if _error_code_val is not None: + try: + self.safe_set_attribute( + span=span, + key=HTTP_RESPONSE_STATUS_CODE_ATTRIBUTE, + value=int(_error_code_val), + ) + except (ValueError, TypeError): + pass + if error_information.get("error_class"): self.safe_set_attribute( span=span, @@ -1782,11 +1876,21 @@ class OpenTelemetry(CustomLogger): ) # The Generative AI Provider: Azure, OpenAI, etc. - self.safe_set_attribute( - span=span, - key=SpanAttributes.LLM_SYSTEM.value, - value=litellm_params.get("custom_llm_provider", "Unknown"), - ) + provider_name = litellm_params.get("custom_llm_provider", "Unknown") + # Latest-experimental semconv replaced gen_ai.system with + # gen_ai.provider.name; emit only the conformant key in that mode. + if self._gen_ai_semconv_latest_experimental: + self.safe_set_attribute( + span=span, + key="gen_ai.provider.name", + value=provider_name, + ) + else: + self.safe_set_attribute( + span=span, + key=SpanAttributes.LLM_SYSTEM.value, + value=provider_name, + ) # The maximum number of tokens the LLM generates for a request. if optional_params.get("max_tokens"): @@ -1812,11 +1916,17 @@ class OpenTelemetry(CustomLogger): value=optional_params.get("top_p"), ) - self.safe_set_attribute( - span=span, - key=SpanAttributes.LLM_IS_STREAMING.value, - value=str(optional_params.get("stream", False)), - ) + if self._gen_ai_semconv_latest_experimental: + # Semconv emits gen_ai.request.stream (only when streaming) via + # _set_semconv_request_attributes; skip the legacy llm.is_streaming. + self._set_semconv_request_attributes(span, optional_params) + self._set_semconv_cache_token_attributes(span, standard_logging_payload) + else: + self.safe_set_attribute( + span=span, + key=SpanAttributes.LLM_IS_STREAMING.value, + value=str(optional_params.get("stream", False)), + ) if optional_params.get("user"): self.safe_set_attribute( @@ -1937,14 +2047,18 @@ class OpenTelemetry(CustomLogger): value=safe_dumps(transformed_system_instructions), ) - self.safe_set_attribute( - span=span, - key=SpanAttributes.GEN_AI_OPERATION_NAME.value, - value=( + if self._gen_ai_semconv_latest_experimental: + operation_name = self._gen_ai_operation_name(kwargs) + else: + operation_name = ( "chat" if standard_logging_payload.get("call_type") == "completion" else standard_logging_payload.get("call_type") or "chat" - ), + ) + self.safe_set_attribute( + span=span, + key=SpanAttributes.GEN_AI_OPERATION_NAME.value, + value=operation_name, ) if standard_logging_payload.get("request_id"): @@ -2281,6 +2395,10 @@ class OpenTelemetry(CustomLogger): if generation_name: return generation_name + if self._gen_ai_semconv_latest_experimental: + model = kwargs.get("model") or "unknown" + return f"{self._gen_ai_operation_name(kwargs)} {model}" + return LITELLM_REQUEST_SPAN_NAME def get_traceparent_from_header(self, headers): @@ -2822,3 +2940,86 @@ class OpenTelemetry(CustomLogger): context=self.get_traceparent_from_header(headers=headers), kind=self.span_kind.SERVER, ) + + def set_proxy_request_route_attributes( + self, + span: Optional[Span], + *, + url_path: Optional[str] = None, + http_route: Optional[str] = None, + ) -> None: + """ + Set OTel-standard ``http.route`` / ``url.path`` on the proxy SERVER + span. Called from the auth path, the only point where both the + SERVER span and the request are in hand. No-op if span/value missing. + """ + if span is None: + return + if url_path: + self.safe_set_attribute(span=span, key=URL_PATH_ATTRIBUTE, value=url_path) + if http_route: + self.safe_set_attribute( + span=span, key=HTTP_ROUTE_ATTRIBUTE, value=http_route + ) + + def set_response_status_code_attribute( + self, span: Optional[Span], status_code: Optional[int] + ) -> None: + """ + Set OTel-standard ``http.response.status_code`` (int) on the proxy + SERVER span. The failure path sets this from the error code in + ``_record_exception_on_span``; this is the success-path counterpart + so the attribute is present on every SERVER span regardless of + outcome (required by the HTTP semconv, and needed for error-ratio / + status-breakdown dashboards). No-op if span/value missing. + """ + if span is None or status_code is None: + return + self.safe_set_attribute( + span=span, + key=HTTP_RESPONSE_STATUS_CODE_ATTRIBUTE, + value=int(status_code), + ) + + def set_preprocessing_duration_attribute( + self, span: Optional[Span], container: Any + ) -> None: + """ + Set ``litellm.preprocessing.duration_ms`` (proxy-receive -> first + provider handoff) on the proxy SERVER span. ``litellm_received_at`` + rides request metadata; ``first_api_call_start_time`` is the + set-once first-handoff instant (retries/backoff excluded). Works + uniformly for the success (model_call_details) and failure + (request_data) containers. No-op if span/either anchor is missing. + """ + if span is None or not isinstance(container, dict): + return + received_at = None + # first_api_call_start_time is top-level (never in user metadata). + first_handoff = container.get("first_api_call_start_time") + _lp = container.get("litellm_params") + for _md in ( + (_lp or {}).get("metadata") if isinstance(_lp, dict) else None, + container.get("metadata"), + container.get("litellm_metadata"), + ): + if isinstance(_md, dict): + received_at = received_at or _md.get("litellm_received_at") + if received_at is None or first_handoff is None: + return + try: + start_ts = self._to_timestamp(received_at) + end_ts = self._to_timestamp(first_handoff) + except Exception: + return + if start_ts is None or end_ts is None: + return + duration_ms = (end_ts - start_ts) * 1000.0 + # Clock skew → omit rather than emit a negative latency. + if duration_ms < 0: + return + self.safe_set_attribute( + span=span, + key=PREPROCESSING_DURATION_MS_ATTRIBUTE, + value=duration_ms, + ) diff --git a/litellm/integrations/opentelemetry_utils/gen_ai_semconv.py b/litellm/integrations/opentelemetry_utils/gen_ai_semconv.py new file mode 100644 index 00000000000..e45fe149e13 --- /dev/null +++ b/litellm/integrations/opentelemetry_utils/gen_ai_semconv.py @@ -0,0 +1,271 @@ +"""OTEL GenAI ``gen_ai_latest_experimental`` semantic conventions. + +Setting ``OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental`` switches the +emitted traces to the experimental OTEL GenAI conventions +(https://opentelemetry.io/docs/specs/semconv/gen-ai/). Concretely, versus the +default LiteLLM output: + +Request span: + +- name is ``{operation} {model}`` (e.g. ``chat gpt-4``) instead of + ``litellm_request``; span kind is ``CLIENT``. +- ``gen_ai.operation.name`` is the actual operation (``chat`` / + ``text_completion`` / ``embeddings``) instead of always ``chat``. +- the provider is reported as ``gen_ai.provider.name``; the superseded + ``gen_ai.system`` and the legacy ``llm.is_streaming`` are dropped. +- adds ``gen_ai.request.{frequency_penalty,presence_penalty,top_k,seed}``, + ``gen_ai.request.stop_sequences`` (a string array), + ``gen_ai.request.stream`` (only when streaming), + ``gen_ai.request.choice.count`` (only when n > 1), and + ``gen_ai.usage.cache_{creation,read}.input_tokens``. +- the non-standard ``raw_gen_ai_request`` child span is no longer created. + +Events: + +- the per-message ``gen_ai.content.prompt`` / per-choice + ``gen_ai.content.completion`` log events are replaced by a single + ``gen_ai.client.inference.operation.details`` log event carrying + ``gen_ai.input.messages`` / ``gen_ai.output.messages`` (message content + included only when content capture is enabled). +""" + +from datetime import datetime +from enum import Enum +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Union + +from litellm.litellm_core_utils.safe_json_dumps import safe_dumps + +if TYPE_CHECKING: + from opentelemetry.trace import Span as _Span + + from litellm.integrations.opentelemetry import OpenTelemetryConfig + + Span = Union[_Span, Any] +else: + Span = Any + + +# OTEL_SEMCONV_STABILITY_OPT_IN is a comma-separated list of category-specific +# opt-in values. See https://opentelemetry.io/docs/specs/semconv/gen-ai/ +OTEL_SEMCONV_STABILITY_OPT_IN_ENV = "OTEL_SEMCONV_STABILITY_OPT_IN" + + +class OTELSemconvCategory(Enum): + GEN_AI_LATEST_EXPERIMENTAL = "gen_ai_latest_experimental" + + +# Reverse lookup: opt-in token string -> OTELSemconvCategory. +_SEMCONV_CATEGORY_BY_VALUE = { + category.value: category for category in OTELSemconvCategory +} + + +# LiteLLM optional_params key -> OTEL gen_ai semconv span attribute. +_SEMCONV_REQUEST_ATTRIBUTES = { + "frequency_penalty": "gen_ai.request.frequency_penalty", + "presence_penalty": "gen_ai.request.presence_penalty", + "top_k": "gen_ai.request.top_k", + "seed": "gen_ai.request.seed", +} + +# usage_object key -> OTEL gen_ai semconv cache-token span attribute. +_SEMCONV_CACHE_TOKEN_ATTRIBUTES = { + "cache_creation_input_tokens": "gen_ai.usage.cache_creation.input_tokens", + "cache_read_input_tokens": "gen_ai.usage.cache_read.input_tokens", +} + +# Name of the consolidated GenAI inference event (replaces the legacy +# per-message gen_ai.content.prompt / per-choice gen_ai.content.completion). +_INFERENCE_DETAILS_EVENT_NAME = "gen_ai.client.inference.operation.details" + + +def parse_semconv_opt_in(raw: Optional[str]) -> Set[OTELSemconvCategory]: + """Parse the comma-separated OTEL_SEMCONV_STABILITY_OPT_IN value into the + set of recognized categories. Unknown tokens are ignored per the spec.""" + if not raw: + return set() + return { + _SEMCONV_CATEGORY_BY_VALUE[token] + for token in (part.strip() for part in raw.split(",")) + if token in _SEMCONV_CATEGORY_BY_VALUE + } + + +class OTELGenAISemconvMixin: + """OTEL GenAI ``gen_ai_latest_experimental`` semantic-convention behavior. + + Mixed into ``OpenTelemetry`` (its only host). Every member is internal to + the OTEL integration; the leading underscore marks "subsystem-internal", + not "class-private" (the host lives in a sibling module). + + Members the host calls (the mixin -> host contract): + + - ``_gen_ai_semconv_latest_experimental`` -- opt-in gate; guards every + semconv code path in ``opentelemetry.py``. + - ``_gen_ai_operation_name`` -- LiteLLM ``call_type`` -> spec + ``gen_ai.operation.name``. + - ``_set_semconv_request_attributes`` / + ``_set_semconv_cache_token_attributes`` -- add the ``gen_ai.request.*`` + / ``gen_ai.usage.cache_*`` span attributes. + - ``_emit_inference_details_event`` -- emit the consolidated event. + + Helpers the host must provide (declared under ``TYPE_CHECKING`` below): + ``config``, ``safe_set_attribute``, ``_capture_in_event``, + ``_transform_messages_to_otel_semantic_conventions``, + ``_transform_choices_to_otel_semantic_conventions``, ``_to_ns``, + ``_otel_log_types``. + """ + + if TYPE_CHECKING: + config: "OpenTelemetryConfig" + + def safe_set_attribute(self, span: Span, key: str, value: Any) -> None: ... + + def _capture_in_event(self) -> bool: ... + + def _transform_messages_to_otel_semantic_conventions( + self, messages: Union[List[dict], str] + ) -> List[dict]: ... + + def _transform_choices_to_otel_semantic_conventions( + self, choices: List[dict] + ) -> List[dict]: ... + + def _to_ns(self, dt: datetime) -> int: ... + + def _otel_log_types(self) -> Tuple[Any, Any]: ... + + @property + def _gen_ai_semconv_latest_experimental(self) -> bool: + """Whether the ``gen_ai_latest_experimental`` opt-in is active. + + Every semconv behavior is gated on this; ``False`` => legacy output. + """ + return ( + OTELSemconvCategory.GEN_AI_LATEST_EXPERIMENTAL + in self.config.semconv_stability_opt_in + ) + + @staticmethod + def _gen_ai_operation_name(kwargs: dict) -> str: + """Map a LiteLLM ``call_type`` to spec ``gen_ai.operation.name``. + + Substring match (e.g. ``aembedding`` -> ``embeddings``); defaults to + ``chat``. + """ + call_type = kwargs.get("call_type", "") or "" + match call_type: + case s if "embedding" in s: + return "embeddings" + case s if "text_completion" in s: + return "text_completion" + case _: + return "chat" + + def _set_semconv_request_attributes( + self, span: Span, optional_params: dict + ) -> None: + """Add ``gen_ai.request.*`` span attributes from ``optional_params``. + + Covers the sampling params plus the conditionally-required + ``stop_sequences`` / ``stream`` / ``choice.count`` per the spec. + """ + for source_key, semconv_key in _SEMCONV_REQUEST_ATTRIBUTES.items(): + value = optional_params.get(source_key) + if value is not None: + self.safe_set_attribute(span=span, key=semconv_key, value=value) + + stop = optional_params.get("stop") + if stop is not None: + # Spec types this as string[]. safe_set_attribute coerces to a + # primitive, so set the array directly via the span API. + stop_list = stop if isinstance(stop, list) else [stop] + span.set_attribute( + "gen_ai.request.stop_sequences", [str(s) for s in stop_list] + ) + + # Conditionally required: set only when the request is streaming. + if optional_params.get("stream"): + self.safe_set_attribute(span=span, key="gen_ai.request.stream", value=True) + + # Conditionally required per spec ("if available and != 1"). Valid n is + # an int >= 1, so n > 1 is equivalent for conformant input while + # suppressing nonsensical values (0, negative, non-int). + n = optional_params.get("n") + if isinstance(n, int) and n > 1: + self.safe_set_attribute( + span=span, key="gen_ai.request.choice.count", value=n + ) + + def _set_semconv_cache_token_attributes( + self, span: Span, standard_logging_payload + ) -> None: + """Add ``gen_ai.usage.cache_*.input_tokens`` from the usage object. + + No-op when the payload or the usage values are missing/zero. + """ + if not standard_logging_payload: + return + usage = (standard_logging_payload.get("metadata") or {}).get( + "usage_object" + ) or {} + for source_key, semconv_key in _SEMCONV_CACHE_TOKEN_ATTRIBUTES.items(): + value = usage.get(source_key) + if value: + self.safe_set_attribute(span=span, key=semconv_key, value=value) + + def _build_inference_details_attrs( + self, kwargs: dict, response_obj: dict, provider: str + ) -> Dict[str, Any]: + """Build the attribute payload for the inference-details event. + + Always includes provider/operation; input/output messages are added + only when content capture is enabled and non-empty. Mixin-internal. + """ + attrs: Dict[str, Any] = { + "event_name": _INFERENCE_DETAILS_EVENT_NAME, + "gen_ai.provider.name": provider, + "gen_ai.operation.name": self._gen_ai_operation_name(kwargs), + } + if not self._capture_in_event(): + return attrs + + input_messages = self._transform_messages_to_otel_semantic_conventions( + kwargs.get("messages") or [] + ) + output_messages = self._transform_choices_to_otel_semantic_conventions( + response_obj.get("choices", []) + ) + if input_messages: + attrs["gen_ai.input.messages"] = safe_dumps(input_messages) + if output_messages: + attrs["gen_ai.output.messages"] = safe_dumps(output_messages) + return attrs + + def _emit_inference_details_event( + self, + kwargs: dict, + response_obj: dict, + provider: str, + otel_logger, + parent_ctx, + ) -> None: + """Emit the consolidated ``gen_ai.client.inference.operation.details`` + log event, correlated to the request span via ``parent_ctx``. + + Replaces the legacy per-message / per-choice content events. + """ + LogRecord, SeverityNumber = self._otel_log_types() + log_record = LogRecord( + timestamp=self._to_ns(datetime.now()), + trace_id=parent_ctx.trace_id, + span_id=parent_ctx.span_id, + trace_flags=parent_ctx.trace_flags, + severity_number=SeverityNumber.INFO, + severity_text="INFO", + body=None, + attributes=self._build_inference_details_attrs( + kwargs, response_obj, provider + ), + ) + otel_logger.emit(log_record) diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index c73d914e6cc..876f1b167db 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -1050,6 +1050,16 @@ class Logging(LiteLLMLoggingBaseClass): ) self.model_call_details["api_call_start_time"] = datetime.datetime.now() + # Set-once first provider-handoff instant. api_call_start_time + # is overwritten on every retry, so it can't measure one-time + # preprocessing; pinning the first attempt excludes retry loops + # + backoff. Logging object only — must NOT go into + # litellm_params["metadata"] (caller request metadata, typed + # Dict[str, str], echoed downstream; a datetime breaks it). + if self.model_call_details.get("first_api_call_start_time") is None: + self.model_call_details["first_api_call_start_time"] = ( + self.model_call_details["api_call_start_time"] + ) # Input Integration Logging -> If you want to log the fact that an attempt to call the model was made callbacks = litellm.input_callback + (self.dynamic_input_callbacks or []) for callback in callbacks: diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 543172b8381..fb5bfa6cf4e 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -2112,6 +2112,380 @@ "supports_response_schema": true, "supports_tool_choice": true }, + "azure_ai/gpt-5.4": { + "cache_read_input_token_cost": 2.5e-07, + "cache_read_input_token_cost_above_272k_tokens": 5e-07, + "cache_read_input_token_cost_priority": 5e-07, + "cache_read_input_token_cost_above_272k_tokens_priority": 1e-06, + "input_cost_per_token": 2.5e-06, + "input_cost_per_token_above_272k_tokens": 5e-06, + "input_cost_per_token_priority": 5e-06, + "input_cost_per_token_above_272k_tokens_priority": 1e-05, + "litellm_provider": "azure_ai", + "max_input_tokens": 1050000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "output_cost_per_token_above_272k_tokens": 2.25e-05, + "output_cost_per_token_priority": 3e-05, + "output_cost_per_token_above_272k_tokens_priority": 4.5e-05, + "source": "https://ai.azure.com/catalog/models/gpt-5.4", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, + "azure_ai/gpt-5.4-2026-03-05": { + "cache_read_input_token_cost": 2.5e-07, + "cache_read_input_token_cost_above_272k_tokens": 5e-07, + "cache_read_input_token_cost_priority": 5e-07, + "cache_read_input_token_cost_above_272k_tokens_priority": 1e-06, + "input_cost_per_token": 2.5e-06, + "input_cost_per_token_above_272k_tokens": 5e-06, + "input_cost_per_token_priority": 5e-06, + "input_cost_per_token_above_272k_tokens_priority": 1e-05, + "litellm_provider": "azure_ai", + "max_input_tokens": 1050000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "output_cost_per_token_above_272k_tokens": 2.25e-05, + "output_cost_per_token_priority": 3e-05, + "output_cost_per_token_above_272k_tokens_priority": 4.5e-05, + "source": "https://ai.azure.com/catalog/models/gpt-5.4", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, + "azure_ai/gpt-5.4-pro": { + "cache_read_input_token_cost": 3e-06, + "cache_read_input_token_cost_above_272k_tokens": 6e-06, + "cache_read_input_token_cost_priority": 6e-06, + "cache_read_input_token_cost_above_272k_tokens_priority": 1.2e-05, + "input_cost_per_token": 3e-05, + "input_cost_per_token_above_272k_tokens": 6e-05, + "input_cost_per_token_priority": 6e-05, + "input_cost_per_token_above_272k_tokens_priority": 0.00012, + "litellm_provider": "azure_ai", + "max_input_tokens": 1050000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 0.00018, + "output_cost_per_token_above_272k_tokens": 0.00027, + "output_cost_per_token_priority": 0.00036, + "output_cost_per_token_above_272k_tokens_priority": 0.00054, + "source": "https://ai.azure.com/catalog/models/gpt-5.4-pro", + "supported_endpoints": [ + "/v1/batch", + "/v1/responses" + ], + 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"supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": false + }, "azure_ai/model_router": { "input_cost_per_token": 1.4e-07, "output_cost_per_token": 0, diff --git a/litellm/proxy/_experimental/mcp_server/oauth_utils.py b/litellm/proxy/_experimental/mcp_server/oauth_utils.py index e6691329709..8541a691e88 100644 --- a/litellm/proxy/_experimental/mcp_server/oauth_utils.py +++ b/litellm/proxy/_experimental/mcp_server/oauth_utils.py @@ -30,23 +30,43 @@ _DEFAULT_PORTS = {"http": 80, "https": 443} _TRUSTED_REDIRECT_ORIGINS_ENV = "MCP_TRUSTED_REDIRECT_ORIGINS" +_warned_invalid_proxy_base_url: Optional[str] = None + + +def _resolve_proxy_base_url_env() -> Optional[str]: + global _warned_invalid_proxy_base_url + configured = os.environ.get("PROXY_BASE_URL", "").strip() + if not configured: + return None + parsed = urlparse(configured) + if parsed.scheme in ("http", "https") and parsed.netloc: + normalized = urlunparse((parsed.scheme, parsed.netloc, parsed.path, "", "", "")) + return normalized.rstrip("/") + if _warned_invalid_proxy_base_url != configured: + verbose_logger.warning( + "PROXY_BASE_URL=%r is not a valid http(s) URL (missing scheme " + "or host) and will be ignored for MCP OAuth origin resolution. " + "Set it to a full URL like https://litellm.example.com.", + configured, + ) + _warned_invalid_proxy_base_url = configured + return None + + def get_request_base_url(request: Request) -> str: """ Get the base URL for the request, considering X-Forwarded-* headers. - X-Forwarded-Proto / X-Forwarded-Host / X-Forwarded-Port are only honoured - when the request comes from a configured trusted proxy - (``use_x_forwarded_for`` enabled AND caller in ``mcp_trusted_proxy_ranges``). - Otherwise the request's literal ``base_url`` is returned, so an - untrusted caller cannot poison OAuth-discovery / redirect_uri values - by injecting headers. - - Args: - request: FastAPI Request object - - Returns: - The reconstructed base URL (e.g., "https://proxy.example.com") + Resolution order: ``PROXY_BASE_URL`` env var, then X-Forwarded-* when + the caller is a trusted proxy (``use_x_forwarded_for`` enabled AND + caller in ``mcp_trusted_proxy_ranges``), otherwise the request's + literal ``base_url``. Untrusted callers cannot poison OAuth-discovery + / redirect_uri values by injecting headers. """ + configured = _resolve_proxy_base_url_env() + if configured: + return configured + base_url = str(request.base_url).rstrip("/") parsed = urlparse(base_url) @@ -284,4 +304,22 @@ def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None: if _matches_trusted_origin_entry(redirect_netloc, entry): return + verbose_logger.warning( + "MCP OAuth: rejecting redirect_uri %r as invalid_request. " + "Computed proxy base=%r (PROXY_BASE_URL=%r). " + "Inbound headers: X-Forwarded-Proto=%r X-Forwarded-Host=%r " + "X-Forwarded-Port=%r Host=%r. " + "Trusted-redirect-origins env=%r. " + "If this should be accepted, either align ingress X-Forwarded-* " + "with the browser URL, set PROXY_BASE_URL to your public origin, " + "or add the redirect_uri host to MCP_TRUSTED_REDIRECT_ORIGINS.", + redirect_uri, + proxy_base, + os.environ.get("PROXY_BASE_URL"), + request.headers.get("X-Forwarded-Proto"), + request.headers.get("X-Forwarded-Host"), + request.headers.get("X-Forwarded-Port"), + request.headers.get("Host"), + os.environ.get(_TRUSTED_REDIRECT_ORIGINS_ENV), + ) raise HTTPException(status_code=400, detail="invalid_request") diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404.html index 3e20cf89e47..46e13ca9931 100644 --- a/litellm/proxy/_experimental/out/404.html +++ b/litellm/proxy/_experimental/out/404.html @@ -1 +1 @@ -404: This page could not be found.LiteLLM Dashboard

404

This page could not be found.

\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

404

This page could not be found.

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+0:{"buildId":"LpD6ruZoEpvYpT5IvMEoa","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"(dashboard)","paramType":null,"paramKey":"(dashboard)","hasRuntimePrefetch":false,"slots":{"children":{"name":"virtual-keys","paramType":null,"paramKey":"virtual-keys","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":true},"staleTime":300} diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index ee86e923924..637a4a070c4 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -522,6 +522,25 @@ def get_request_route(request: Request) -> str: return str(request.url.path) +def get_request_route_template(request: Request) -> Optional[str]: + """ + Return the low-cardinality route template, e.g. + ``/v1/threads/{thread_id}/runs`` (vs. the literal path from + ``get_request_route``). FastAPI sets ``scope["route"]`` before endpoint + dependencies run. Returns None if unavailable (unmatched path, Mount). + """ + try: + scope = request.scope + if not isinstance(scope, dict): + return None + route = scope.get("route") + template = getattr(route, "path", None) + return template if isinstance(template, str) and template else None + except Exception as e: + verbose_proxy_logger.debug(f"error on get_request_route_template: {str(e)}") + return None + + @lru_cache(maxsize=256) def normalize_request_route(route: str) -> str: """ diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 03167c5a2dc..30b5d36e14a 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -51,6 +51,7 @@ from litellm.proxy.auth.auth_utils import ( get_end_user_id_from_request_body, get_model_from_request, get_request_route, + get_request_route_template, normalize_request_route, pre_db_read_auth_checks, route_in_additonal_public_routes, @@ -682,6 +683,12 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 parent_otel_span: Optional[Span] = None start_time = datetime.now() + # Stash the proxy-receive instant for the pre-request latency calc — + # the OTel Span API exposes no start-time getter, so propagate it. + try: + request.state.litellm_received_at = start_time + except Exception: + pass route: str = get_request_route(request=request) valid_token: Optional[UserAPIKeyAuth] = None custom_auth_api_key: bool = False @@ -723,6 +730,12 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 headers=_safe_get_request_headers(request), ) ) + # `route` is the literal path; template from the matched route. + open_telemetry_logger.set_proxy_request_route_attributes( + parent_otel_span, + url_path=route, + http_route=get_request_route_template(request), + ) ### USER-DEFINED AUTH FUNCTION ### if enterprise_custom_auth is not None: diff --git a/litellm/proxy/db/db_url_settings.py b/litellm/proxy/db/db_url_settings.py new file mode 100644 index 00000000000..58478db5e2e --- /dev/null +++ b/litellm/proxy/db/db_url_settings.py @@ -0,0 +1,263 @@ +"""Assemble DATABASE_URL (+ optional DATABASE_URL_READ_REPLICA) from env. + +The CLI (`proxy_cli.py`) assembles ``DATABASE_URL`` from discrete +``DATABASE_*`` env vars before Prisma initializes. The componentized +entrypoints (gateway / backend / migrations) bypass the CLI by uvicorn'ing +the app directly, so they call ``DatabaseURLSettings.from_env().apply_to_env()`` +to do the same thing before importing ``proxy_server``. + +The env var names this module reads are exactly the ones emitted by the +``helm/litellm`` chart's ``litellm.serverEnv`` block +(``helm/litellm/templates/_helpers.tpl``). Both auth styles and both +endpoints are covered: + + * IAM auth (``IAM_TOKEN_DB_AUTH`` truthy): mint a short-lived RDS IAM + token and embed it as the password. The writer URL is always + (re)written because the token is freshly minted on every startup. The + chart omits ``DATABASE_PASSWORD`` in this mode. + * Password auth: build a percent-encoded URL from ``DATABASE_PASSWORD``. + The chart emits the discrete ``DATABASE_*`` fields (never a + pre-assembled URL), so URL-reserved characters in the password survive + instead of corrupting the URL. A pre-existing ``DATABASE_URL`` — e.g. + one an operator pinned via ``extraEnv`` — is left untouched and wins. + +The read replica is opt-in via ``DATABASE_HOST_READ_REPLICA`` and never +clobbers a pre-existing ``DATABASE_URL_READ_REPLICA``, so an IAM writer can +run alongside a password-auth reader (or a precomputed reader URL). Reader +IAM is gated on the single global ``IAM_TOKEN_DB_AUTH`` flag — the chart +only emits the reader IAM env vars when the writer also uses IAM auth. +Reader-side fields fall back to the writer's user / name / schema / port / +password when their ``*_READ_REPLICA`` counterpart is unset. +""" + +import os +import urllib.parse +from typing import Optional, cast + +from pydantic import AliasChoices, Field +from pydantic_settings import BaseSettings, SettingsConfigDict + +# Imported as a module (not `from ... import generate_iam_auth_token`) so the +# AWS-touching token mint stays patchable at its canonical location in tests. +from litellm.proxy.auth import rds_iam_token + +_IAM_ENV_KEY = "IAM_TOKEN_DB_AUTH" +_DEFAULT_PG_PORT = "5432" + + +class DatabaseURLSettings(BaseSettings): + """Discrete ``DATABASE_*`` env vars, loaded once at process start. + + Field names are internal; ``validation_alias`` pins each one to the exact + env var the helm chart emits. ``DATABASE_USER`` doubles as + ``DATABASE_USERNAME`` for parity with ``construct_database_url_from_env_vars``. + """ + + model_config = SettingsConfigDict(case_sensitive=False, extra="ignore") + + iam_token_db_auth: bool = Field(default=False, validation_alias=_IAM_ENV_KEY) + + # Writer + database_url: Optional[str] = Field(default=None, validation_alias="DATABASE_URL") + database_host: Optional[str] = Field(default=None, validation_alias="DATABASE_HOST") + database_port: str = Field( + default=_DEFAULT_PG_PORT, validation_alias="DATABASE_PORT" + ) + database_user: Optional[str] = Field( + default=None, + validation_alias=AliasChoices("DATABASE_USER", "DATABASE_USERNAME"), + ) + database_name: Optional[str] = Field(default=None, validation_alias="DATABASE_NAME") + database_schema: Optional[str] = Field( + default=None, validation_alias="DATABASE_SCHEMA" + ) + database_password: Optional[str] = Field( + default=None, validation_alias="DATABASE_PASSWORD" + ) + + # Read replica + database_url_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_URL_READ_REPLICA" + ) + database_host_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_HOST_READ_REPLICA" + ) + database_port_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_PORT_READ_REPLICA" + ) + database_user_read_replica: Optional[str] = Field( + default=None, + validation_alias=AliasChoices( + "DATABASE_USER_READ_REPLICA", "DATABASE_USERNAME_READ_REPLICA" + ), + ) + database_name_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_NAME_READ_REPLICA" + ) + database_schema_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_SCHEMA_READ_REPLICA" + ) + database_password_read_replica: Optional[str] = Field( + default=None, validation_alias="DATABASE_PASSWORD_READ_REPLICA" + ) + + @classmethod + def from_env(cls) -> "DatabaseURLSettings": + """Load the settings from ``os.environ`` (read at call time).""" + return cls() + + def build_writer_url(self) -> Optional[str]: + """Return the writer URL to set, or ``None`` to leave it as-is. + + Raises ``RuntimeError`` (naming the offending vars) when IAM auth is + enabled but a required field is missing — the proxy cannot recover + from this and a clear startup error beats a Prisma connect failure. + """ + if self.iam_token_db_auth: + missing = [ + env + for env, val in ( + ("DATABASE_HOST", self.database_host), + ("DATABASE_USER", self.database_user), + ("DATABASE_NAME", self.database_name), + ) + if not val + ] + if missing: + raise RuntimeError( + "IAM_TOKEN_DB_AUTH is enabled but required DB env var(s) " + f"are unset: {', '.join(missing)}. Set them so the writer " + "DATABASE_URL can be assembled with a minted IAM token." + ) + host = cast(str, self.database_host) + user = cast(str, self.database_user) + name = cast(str, self.database_name) + # IAM token is already URL-quoted by generate_iam_auth_token; + # user/name embedded raw (parity with proxy_cli.py / IAMEndpoint). + token = rds_iam_token.generate_iam_auth_token( + db_host=host, db_port=self.database_port, db_user=user + ) + url = f"postgresql://{user}:{token}@{host}:{self.database_port}/{name}" + if self.database_schema: + url += f"?schema={self.database_schema}" + return url + + # Password auth: an operator-pinned DATABASE_URL always wins. + if self.database_url: + return None + if self.database_host and self.database_user and self.database_name: + return self._password_url( + user=self.database_user, + password=self.database_password, + host=self.database_host, + port=self.database_port, + name=self.database_name, + schema=self.database_schema, + ) + return None + + def build_reader_url(self) -> Optional[str]: + """Return the read-replica URL to set, or ``None`` to leave it as-is. + + Opt-in via ``DATABASE_HOST_READ_REPLICA``; never clobbers a + pre-existing ``DATABASE_URL_READ_REPLICA``. Reader fields fall back + to the writer's values. + """ + if not self.database_host_read_replica: + return None # reader is opt-in + if self.database_url_read_replica: + return None # never clobber an operator-supplied reader URL + + host = self.database_host_read_replica + port = self.database_port_read_replica or self.database_port + user = self.database_user_read_replica or self.database_user + name = self.database_name_read_replica or self.database_name + schema = self.database_schema_read_replica or self.database_schema + password = self.database_password_read_replica or self.database_password + + if self.iam_token_db_auth: + missing = [ + env + for env, val in ( + ("DATABASE_USER[_READ_REPLICA]", user), + ("DATABASE_NAME[_READ_REPLICA]", name), + ) + if not val + ] + if missing: + raise RuntimeError( + "IAM_TOKEN_DB_AUTH is enabled and DATABASE_HOST_READ_REPLICA " + "is set, but the reader could not resolve: " + f"{', '.join(missing)} (no *_READ_REPLICA value and no " + "writer fallback). Set the reader fields or the writer " + "defaults." + ) + user = cast(str, user) + name = cast(str, name) + token = rds_iam_token.generate_iam_auth_token( + db_host=host, db_port=port, db_user=user + ) + url = f"postgresql://{user}:{token}@{host}:{port}/{name}" + if schema: + url += f"?schema={schema}" + return url + + if user and name: + return self._password_url( + user=user, + password=password, + host=host, + port=port, + name=name, + schema=schema, + ) + return None + + @staticmethod + def _password_url( + *, + user: str, + password: Optional[str], + host: str, + port: str, + name: str, + schema: Optional[str], + ) -> str: + """Percent-encode credentials into a ``postgresql://`` URL. + + Parity with ``construct_database_url_from_env_vars`` in + ``proxy/utils.py``; ``password`` may be empty for a passwordless URL. + """ + quote = urllib.parse.quote_plus + user_p = quote(user) + name_p = quote(name) + if password: + url = f"postgresql://{user_p}:{quote(password)}@{host}:{port}/{name_p}" + else: + url = f"postgresql://{user_p}@{host}:{port}/{name_p}" + if schema: + url += f"?schema={schema}" + return url + + def apply_to_env(self) -> bool: + """Write the assembled URL(s) into ``os.environ``. + + Returns True iff this call set ``DATABASE_URL`` (IAM mint, or + password auth that assembled a fresh URL). False means there was + nothing to do — an operator-pinned URL, or no discrete fields. + """ + wrote_writer = False + writer_url = self.build_writer_url() + if writer_url is not None: + os.environ["DATABASE_URL"] = writer_url + if self.iam_token_db_auth: + # Normalize the toggle so downstream readers (PrismaWrapper's + # IAM refresh) reliably see IAM on, regardless of spelling. + os.environ[_IAM_ENV_KEY] = "True" + wrote_writer = True + + reader_url = self.build_reader_url() + if reader_url is not None: + os.environ["DATABASE_URL_READ_REPLICA"] = reader_url + + return wrote_writer diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 7cd099a7296..8cb9a11ffee 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -1651,6 +1651,12 @@ async def add_litellm_data_to_request( # noqa: PLR0915 ) data[_metadata_variable_name]["headers"] = _headers data[_metadata_variable_name]["endpoint"] = str(request.url) + # Carry the proxy-receive instant via metadata (like `endpoint`) so the + # OTel layer can compute pre-request latency, including on the failure + # path after the logging object is popped. + data[_metadata_variable_name]["litellm_received_at"] = getattr( + request.state, "litellm_received_at", None + ) # OTEL Controls / Tracing # Add the OTEL Parent Trace before sending it LiteLLM diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 268b244c86d..97252b4c977 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -20,6 +20,7 @@ from typing import ( TYPE_CHECKING, Any, AsyncGenerator, + Callable, Dict, List, Literal, @@ -10889,13 +10890,130 @@ def _enrich_model_info_with_litellm_data( return model +async def _get_caller_byok_team_scope( + user_api_key_dict: Optional[UserAPIKeyAuth], + prisma_client: Optional[Any], +) -> Optional[Set[str]]: + """ + Return the team IDs whose BYOK rows the caller is allowed to see via + `/v2/model/info` search results. + + `None` means "no scoping" — used for admins and for callers/paths that + have already been scoped upstream (or in tests that supply their own + pre-filtered input set). A returned set (possibly empty) means BYOK rows + must have `model_info.team_id` ∈ that set, otherwise they belong to a + team the caller is not a member of and must be dropped. + """ + if user_api_key_dict is None or prisma_client is None: + return None + if user_api_key_dict.user_role in ( + LitellmUserRoles.PROXY_ADMIN, + LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + ): + return None + user_id = user_api_key_dict.user_id + if user_id is None: + return set() + try: + user_row = await prisma_client.db.litellm_usertable.find_unique( + where={"user_id": user_id} + ) + except Exception: + verbose_proxy_logger.exception( + "Failed to look up caller teams while scoping BYOK search; " + "defaulting to no team access." + ) + return set() + if user_row is None: + return set() + return set(user_row.teams or []) + + +# Hard cap on rows the DB-side BYOK search may pull when results need to be +# sorted across the full match set. Without this, an authenticated caller +# can hit `/v2/model/info?search=&sortBy=` and force the +# proxy to materialize and decrypt every matching BYOK row on each request. +_SORTED_SEARCH_DB_FETCH_CAP = 500 + + +async def _fetch_db_models_for_search( + prisma_client: Any, + proxy_config: Any, + search_lower: str, + db_model_ids_in_router: Set[str], + router_models_count: int, + page: int, + size: int, + sort_by: Optional[str], + is_byok_outside_caller_teams: Callable[[Dict[str, Any]], bool], +) -> Tuple[List[Dict[str, Any]], int]: + """ + Run the bounded DB query that backs `/v2/model/info?search=`. Returns + `(decrypted_models, total_count)` where `total_count` is the cheap + `count(...)` of rows matching `search` (not yet team-scoped) so the + UI's pagination stays accurate without materializing every row. + + Earlier iterations also OR'd a JSON-path match on + `model_info.team_public_model_name` to surface BYOK rows that live + only in the DB. That branch fell back to `string_contains: ""` + because Prisma's JSON `string_contains` is case-sensitive on + Postgres, which let any authenticated caller force a full BYOK-table + read via `/v2/model/info?search=x`. We rely on the router-side + filter for `team_public_model_name` instead and keep the DB cost + bounded by `search`. + """ + db_where_condition: Dict[str, Any] = { + "model_name": {"contains": search_lower, "mode": "insensitive"} + } + if db_model_ids_in_router: + db_where_condition["model_id"] = {"not": {"in": list(db_model_ids_in_router)}} + + # Unsorted searches only need enough DB rows to fill the current + # page after counting router-side matches. Sorted searches need + # ordering across the full match set, so fall back to a hard cap. + if sort_by: + take_limit = _SORTED_SEARCH_DB_FETCH_CAP + else: + take_limit = max(0, page * size - router_models_count) + + db_models_total_count = await prisma_client.db.litellm_proxymodeltable.count( + where=db_where_condition + ) + + db_models_raw: list = [] + if take_limit > 0: + db_models_raw = await prisma_client.db.litellm_proxymodeltable.find_many( + where=db_where_condition, + take=take_limit, + ) + + # Scope BYOK rows to the caller's allowed teams so non-admin callers + # can't enumerate other teams' BYOK metadata via `?search=...`. + matching_db_rows = [ + m + for m in db_models_raw + if not is_byok_outside_caller_teams( + m.model_info if isinstance(m.model_info, dict) else {} + ) + ] + + decrypted: List[Dict[str, Any]] = [] + for db_model in matching_db_rows: + decrypted_models = proxy_config.decrypt_model_list_from_db([db_model]) + if decrypted_models: + decrypted.extend(decrypted_models) + + return decrypted, db_models_total_count + + async def _apply_search_filter_to_models( all_models: List[Dict[str, Any]], search: str, - page: int, - size: int, prisma_client: Optional[Any], proxy_config: Any, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, + page: int = 1, + size: int = 50, sort_by: Optional[str] = None, ) -> Tuple[List[Dict[str, Any]], Optional[int]]: """ @@ -10904,11 +11022,19 @@ async def _apply_search_filter_to_models( Args: all_models: List of models to filter search: Search term (case-insensitive) - page: Current page number - size: Page size prisma_client: Prisma client for database queries proxy_config: Proxy config for decrypting models - sort_by: Optional sort field - if provided, fetch all matching models instead of paginating at DB level + user_api_key_dict: Caller identity used to scope BYOK matches to + teams the caller belongs to. When omitted (None), no team + scoping is applied — pass it from request handlers that expose + this function to non-admin callers. + page: Current page number (1-indexed). Used with ``size`` to bound + the DB ``find_many(take=...)`` so a broad search term can't + force a full table read + decrypt on every request. + size: Page size. See ``page``. + sort_by: Sort field. When set, results must be sorted across the + full match set, so the DB fetch is capped at + ``_SORTED_SEARCH_DB_FETCH_CAP`` instead of one page. Returns: Tuple of (filtered_models, total_count). total_count is None if not searching. @@ -10918,9 +11044,43 @@ async def _apply_search_filter_to_models( search_lower = search.lower().strip() - # Filter models in router by search term + allowed_team_ids = await _get_caller_byok_team_scope( + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + + def _is_byok_outside_caller_teams(model_info_dict: Dict[str, Any]) -> bool: + # `team_id` is only set on team BYOK rows. Non-team rows fall + # through unaffected — they are gated by other paths (router + # membership, direct_access, include_team_models). + if allowed_team_ids is None: + return False + team_id = model_info_dict.get("team_id") + if team_id is None: + return False + return team_id not in allowed_team_ids + + def _model_matches_search(m: Dict[str, Any]) -> bool: + # Team BYOK models persist an internal `model_name` + # (e.g. `model_name_{team_id}_{uuid}`) and expose the user-facing + # name via `model_info.team_public_model_name`. Match both so the + # name shown in the UI is searchable. + if search_lower in (m.get("model_name") or "").lower(): + return True + team_public_model_name = (m.get("model_info") or {}).get( + "team_public_model_name" + ) or "" + return search_lower in team_public_model_name.lower() + + # Filter models in router by search term, dropping BYOK rows that + # belong to teams the caller is not a member of so search can't leak + # other teams' models when the request omits `include_team_models` / + # `teamId`. filtered_router_models = [ - m for m in all_models if search_lower in m.get("model_name", "").lower() + m + for m in all_models + if _model_matches_search(m) + and not _is_byok_outside_caller_teams(m.get("model_info") or {}) ] # Separate filtered models into config vs db models, and track db model IDs @@ -10942,91 +11102,30 @@ async def _apply_search_filter_to_models( router_models_count = config_models_count + db_models_in_router_count # Query database for additional models with search term - db_models = [] - db_models_total_count = 0 - models_needed_for_page = size * page - - # Only query database if prisma_client is available + db_models: List[Dict[str, Any]] = [] if prisma_client is not None: try: - # Build where condition for database query - db_where_condition: Dict[str, Any] = { - "model_name": { - "contains": search_lower, - "mode": "insensitive", - } - } - # Exclude models already in router if we have any - if db_model_ids_in_router: - db_where_condition["model_id"] = { - "not": {"in": list(db_model_ids_in_router)} - } - - # Get total count of matching database models - db_models_total_count = ( - await prisma_client.db.litellm_proxymodeltable.count( - where=db_where_condition - ) + db_models, db_models_total_count = await _fetch_db_models_for_search( + prisma_client=prisma_client, + proxy_config=proxy_config, + search_lower=search_lower, + db_model_ids_in_router=db_model_ids_in_router, + router_models_count=router_models_count, + page=page, + size=size, + sort_by=sort_by, + is_byok_outside_caller_teams=_is_byok_outside_caller_teams, ) - - # Calculate total count for search results search_total_count = router_models_count + db_models_total_count - - # If sorting is requested, we need to fetch ALL matching models to sort correctly - # Otherwise, we can optimize by only fetching what's needed for the current page - if sort_by: - # Fetch all matching database models for sorting - if db_models_total_count > 0: - db_models_raw = ( - await prisma_client.db.litellm_proxymodeltable.find_many( - where=db_where_condition, - take=db_models_total_count, # Fetch all matching models - ) - ) - - # Convert database models to router format - for db_model in db_models_raw: - decrypted_models = proxy_config.decrypt_model_list_from_db( - [db_model] - ) - if decrypted_models: - db_models.extend(decrypted_models) - else: - # Fetch database models if we need more for the current page - if router_models_count < models_needed_for_page: - models_to_fetch = min( - models_needed_for_page - router_models_count, - db_models_total_count, - ) - - if models_to_fetch > 0: - db_models_raw = ( - await prisma_client.db.litellm_proxymodeltable.find_many( - where=db_where_condition, - take=models_to_fetch, - ) - ) - - # Convert database models to router format - for db_model in db_models_raw: - decrypted_models = proxy_config.decrypt_model_list_from_db( - [db_model] - ) - if decrypted_models: - db_models.extend(decrypted_models) except Exception as e: verbose_proxy_logger.exception( f"Error querying database models with search: {str(e)}" ) - # If error, use router models count as fallback search_total_count = router_models_count else: - # If no prisma_client, only use router models search_total_count = router_models_count - # Combine all models - filtered_models = filtered_router_models + db_models - return filtered_models, search_total_count + return filtered_router_models + db_models, search_total_count def _normalize_datetime_for_sorting(dt: Any) -> Optional[datetime]: @@ -11102,6 +11201,15 @@ def _sort_models( model_info = model.get("model_info", {}) if sort_by == "model_name": + # Team BYOK models persist an internal `model_name` (e.g. + # `model_name_{team_id}_{uuid}`) and expose the user-facing + # name via `model_info.team_public_model_name` — same as the + # UI's getDisplayModelName. Sort by the displayed name so + # BYOK rows interleave alphabetically with non-BYOK rows + # instead of clumping at the end on their opaque IDs. + team_public_model_name = model_info.get("team_public_model_name") + if team_public_model_name: + return str(team_public_model_name).lower() return model.get("model_name", "").lower() elif sort_by == "created_at": @@ -11286,28 +11394,81 @@ async def _gather_team_accessible_model_ids( return team_accessible_model_ids +async def _authorize_team_id_query( + team_id: str, + user_api_key_dict: UserAPIKeyAuth, + prisma_client: PrismaClient, +) -> None: + """ + `teamId` arrives untrusted via the /v2/model/info query string and the + filter below includes BYOK rows solely on `model_info.team_id == team_id`. + Without this guard, any authenticated user who knows (or guesses) another + team's id could enumerate that team's BYOK model metadata. Allow only + proxy admins or members of the requested team. + """ + if user_api_key_dict.user_role in ( + LitellmUserRoles.PROXY_ADMIN, + LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + ): + return + + user_id = user_api_key_dict.user_id + if user_id is None: + raise HTTPException( + status_code=403, + detail={"error": "Not authorized to view this team's models"}, + ) + try: + user_row = await prisma_client.db.litellm_usertable.find_unique( + where={"user_id": user_id} + ) + except Exception: + verbose_proxy_logger.exception( + "Failed to look up caller teams while authorizing teamId filter" + ) + raise HTTPException( + status_code=403, + detail={"error": "Not authorized to view this team's models"}, + ) + + if user_row is None or team_id not in (user_row.teams or []): + raise HTTPException( + status_code=403, + detail={"error": "Not authorized to view this team's models"}, + ) + + async def _filter_models_by_team_id( all_models: List[Dict[str, Any]], team_id: str, prisma_client: PrismaClient, llm_router: Router, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> List[Dict[str, Any]]: """ Filter models by team ID. Returns models where: - - direct_access is True, OR - - team_id is in access_via_team_ids - - Also searches config and database for models accessible to the team. + - team_id matches the model's BYOK team_id, OR + - team_id is in access_via_team_ids, OR + - model_id is reachable via team.models / access groups Args: all_models: List of models to filter team_id: Team ID to filter by prisma_client: Prisma client for database queries llm_router: Router instance for config queries + user_api_key_dict: Caller auth context. When provided, the caller must + be a proxy admin or a member of `team_id`; otherwise raises 403. Returns: Filtered list of models """ + if user_api_key_dict is not None: + await _authorize_team_id_query( + team_id=team_id, + user_api_key_dict=user_api_key_dict, + prisma_client=prisma_client, + ) + team_object = await _load_team_object_for_model_filter(team_id, prisma_client) if team_object is None: return [] @@ -11316,26 +11477,30 @@ async def _filter_models_by_team_id( team_object, team_id, prisma_client, llm_router ) - # Filter models based on direct_access or access_via_team_ids - # Models are already enriched with these fields before this function is called + # When filtering by a specific team we want exactly the models that team + # can use: its BYOK rows and the deployments resolved from team.models / + # access groups. `direct_access` describes the viewer's own permissions + # (the admin path sets it on every non-team model) and must NOT widen the + # team's visible set, otherwise selecting a team in the UI still shows + # every public model the admin can call. filtered_models = [] for _model in all_models: model_info = _model.get("model_info", {}) model_id = model_info.get("id", None) - # Include if direct_access is True - if model_info.get("direct_access", False): + # BYOK rows owned by this team are always accessible to it, even if + # they haven't been re-added to team.models for some reason. + if model_info.get("team_id") == team_id: filtered_models.append(_model) continue - # Include if team_id is in access_via_team_ids access_via_team_ids = model_info.get("access_via_team_ids", []) if isinstance(access_via_team_ids, list) and team_id in access_via_team_ids: filtered_models.append(_model) continue - # Also include if model_id is in team_accessible_model_ids (from config/db search) - # This catches models that might not have been enriched with access_via_team_ids yet + # Catches models resolved from team.models / access groups that + # weren't enriched with access_via_team_ids upstream. if model_id and model_id in team_accessible_model_ids: filtered_models.append(_model) @@ -11477,10 +11642,11 @@ async def model_info_v2( all_models, search_total_count = await _apply_search_filter_to_models( all_models=all_models, search=search or "", - page=page, - size=size, prisma_client=prisma_client, proxy_config=proxy_config, + user_api_key_dict=user_api_key_dict, + page=page, + size=size, sort_by=sortBy, ) @@ -11516,6 +11682,7 @@ async def model_info_v2( team_id=teamId.strip(), prisma_client=prisma_client, llm_router=llm_router, + user_api_key_dict=user_api_key_dict, ) # Update search_total_count after teamId filter is applied search_total_count = len(all_models) diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 871f084c58d..32c887f17b2 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -1984,6 +1984,17 @@ class ProxyLogging: original_exception=original_exception, ) + # Lift the first-handoff instant onto request_data (top-level + # internal key, not metadata) so failure-path callbacks can still + # compute preprocessing latency after the logging object is popped. + _logging_obj = request_data.get("litellm_logging_obj") + if _logging_obj is not None: + _first_handoff = getattr(_logging_obj, "model_call_details", {}).get( + "first_api_call_start_time" + ) + if _first_handoff is not None: + request_data["first_api_call_start_time"] = _first_handoff + # Remove before callbacks iterate — not serialisable request_data.pop("litellm_logging_obj", None) diff --git a/migrations/Dockerfile b/migrations/Dockerfile new file mode 100644 index 00000000000..2160514251a --- /dev/null +++ b/migrations/Dockerfile @@ -0,0 +1,98 @@ +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:31da6565f35af6401031c1d7aa91dc84ac76c5c48edd17fb90f0ed9e3173c7a9 +ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a + +FROM $UV_IMAGE AS uvbin + +# ---------- Builder ---------- +# +# Minimal install for `prisma migrate deploy`. We deliberately skip the heavy +# `proxy-runtime` (otel, sentry, ddtrace, pypdf, google-genai, anthropic-vertex, +# ...) and `semantic-router` extras that the gateway/backend pull in — the +# migration engine doesn't need them. We DO install `--extra proxy` so the +# DB-URL helper from `litellm.proxy.auth.rds_iam_token` is importable, which +# is how the gateway and backend assemble `DATABASE_URL` at pod startup when +# `IAM_TOKEN_DB_AUTH=true` (see backend/main.py:17, gateway/main.py:22). And +# `--extra extra_proxy` provides the `prisma` CLI + the secret-manager +# backends `litellm.secret_managers.main` lazily imports. +# +# `prisma generate` runs once at BUILD time to (a) install the Node-based +# Prisma CLI into the binary cache and (b) download the migration / query +# engine binaries. The Python client it also produces is unused by this +# image's runtime entrypoint — that's fine, it's a few hundred KB and the +# alternative (`prisma py fetch`) doesn't reliably trigger engine downloads +# under nodeenv. Crucially we do NOT run `prisma generate` at RUNTIME; the +# old migration job did, on every pod start, which is the wasteful behaviour +# the componentization is fixing. +FROM $LITELLM_BUILD_IMAGE AS builder + +WORKDIR /app +USER root + +COPY --from=uvbin /uv /uvx /usr/local/bin/ + +RUN apk add --no-cache bash gcc python3 python3-dev openssl openssl-dev libsndfile + +ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ + UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + UV_PYTHON_DOWNLOADS=0 \ + PATH="/app/.venv/bin:${PATH}" + +# Stage 1 — install third-party deps only (cached by pyproject.toml/uv.lock). +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=enterprise/pyproject.toml,target=enterprise/pyproject.toml \ + --mount=type=bind,source=litellm-proxy-extras/pyproject.toml,target=litellm-proxy-extras/pyproject.toml \ + uv sync --frozen --no-install-project --no-install-workspace --no-default-groups --no-editable \ + --extra proxy \ + --extra extra_proxy \ + --python python3 + +# Stage 2 — copy source and install the project + workspace members. +COPY . . + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-default-groups --no-editable \ + --extra proxy \ + --extra extra_proxy \ + --python python3 + +COPY migrations/run.py /app/run.py + +# Pre-warm the Prisma binary cache so the Job pod doesn't reach the +# internet on first start. This matches what the backend Dockerfile does: +# `prisma generate` runs nodeenv (downloads Node), installs the prisma npm +# CLI, downloads the engine binaries for each `binaryTarget` in +# schema.prisma, AND emits the generated Python client. We don't need the +# client at runtime — the migration job invokes `prisma migrate deploy` +# via subprocess — but having it cached is harmless and the alternative +# (`prisma py fetch`) doesn't reliably trigger engine downloads. +RUN mkdir -p /home/nonroot && \ + HOME=/home/nonroot prisma generate --schema=./schema.prisma && \ + chown -R nonroot:nonroot /home/nonroot/.cache + +# ---------- Runtime ---------- +FROM $LITELLM_RUNTIME_IMAGE AS runtime + +USER root + +RUN apk add --no-cache bash openssl tzdata python3 libsndfile libatomic + +# wolfi-base ships an unprivileged `nonroot` account (UID/GID 65532). The +# Prisma engine binaries are dynamically linked against libssl/libcrypto, so +# openssl stays in the runtime layer. +WORKDIR /app +ENV HOME=/home/nonroot \ + PATH="/app/.venv/bin:${PATH}" \ + PYTHONPATH="/app" \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +COPY --from=builder --chown=nonroot:nonroot /app /app +COPY --from=builder --chown=nonroot:nonroot /home/nonroot/.cache /home/nonroot/.cache + +USER nonroot + +ENTRYPOINT ["python3", "/app/run.py"] diff --git a/migrations/run.py b/migrations/run.py new file mode 100644 index 00000000000..7ea80d48719 --- /dev/null +++ b/migrations/run.py @@ -0,0 +1,67 @@ +"""Entrypoint for the migrations Job container. + +Runs `prisma migrate deploy` against the LiteLLM writer database using the +recovery logic in `litellm_proxy_extras.ProxyExtrasDBManager.setup_database` +(P3005 baseline + P3009/P3018 idempotent-error handling, retries, etc.). + +Env vars: + DATABASE_URL required unless it can be assembled at + startup from the discrete DATABASE_* vars + (password auth) or minted from an IAM token + (`IAM_TOKEN_DB_AUTH=true`) + DIRECT_URL optional — used by `migrate diff` when the + primary URL is a pooler (e.g. Neon -pooler) + USE_V2_MIGRATION_RESOLVER "false" → fall back to the v1 resolver + (legacy diff-and-force recovery). Defaults + to "true": the v2 resolver avoids the schema + thrashing seen during rolling deploys when + two LiteLLM versions contend for the same DB. + USE_PRISMA_DB_PUSH "true" → use `prisma db push` instead of + `migrate deploy`. Default false. +""" + +import os +import sys + +from litellm.proxy.db.db_url_settings import DatabaseURLSettings +from litellm_proxy_extras._logging import logger +from litellm_proxy_extras.utils import ProxyExtrasDBManager, str_to_bool + + +def main() -> int: + # Assemble DATABASE_URL from the discrete DATABASE_* env vars, matching + # the gateway/backend startup path (IAM mint or password auth). Leaves an + # operator-pinned DATABASE_URL untouched. + DatabaseURLSettings.from_env().apply_to_env() + + if not os.getenv("DATABASE_URL"): + logger.error( + "DATABASE_URL is not set and could not be assembled from the " + "DATABASE_* env vars — cannot run migrations." + ) + return 1 + + # v2 is the safer default for componentized deploys: it skips the + # diff-and-force recovery from v1 that caused schema thrashing during + # rolling deploys. Set USE_V2_MIGRATION_RESOLVER=false to opt back into v1. + use_v2 = str_to_bool(os.getenv("USE_V2_MIGRATION_RESOLVER", "true")) + use_db_push = str_to_bool(os.getenv("USE_PRISMA_DB_PUSH")) + + logger.info( + "Starting prisma migration job (use_migrate=%s, use_v2_resolver=%s)", + not use_db_push, + use_v2, + ) + ok = ProxyExtrasDBManager.setup_database( + use_migrate=not use_db_push, + use_v2_resolver=use_v2, + ) + if not ok: + logger.error("Migration job failed after retries.") + return 1 + logger.info("Migration job completed successfully.") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 3eabb82093b..94f0f1e78d3 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -2141,6 +2141,380 @@ "supports_response_schema": true, "supports_tool_choice": true }, + "azure_ai/gpt-5.4": { + "cache_read_input_token_cost": 2.5e-07, + 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"supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, + "azure_ai/gpt-5.4-2026-03-05": { + "cache_read_input_token_cost": 2.5e-07, + "cache_read_input_token_cost_above_272k_tokens": 5e-07, + "cache_read_input_token_cost_priority": 5e-07, + "cache_read_input_token_cost_above_272k_tokens_priority": 1e-06, + "input_cost_per_token": 2.5e-06, + "input_cost_per_token_above_272k_tokens": 5e-06, + "input_cost_per_token_priority": 5e-06, + "input_cost_per_token_above_272k_tokens_priority": 1e-05, + "litellm_provider": "azure_ai", + "max_input_tokens": 1050000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "output_cost_per_token_above_272k_tokens": 2.25e-05, + "output_cost_per_token_priority": 3e-05, + "output_cost_per_token_above_272k_tokens_priority": 4.5e-05, + "source": "https://ai.azure.com/catalog/models/gpt-5.4", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, + "azure_ai/gpt-5.4-pro": { + "cache_read_input_token_cost": 3e-06, + "cache_read_input_token_cost_above_272k_tokens": 6e-06, + "cache_read_input_token_cost_priority": 6e-06, + "cache_read_input_token_cost_above_272k_tokens_priority": 1.2e-05, + "input_cost_per_token": 3e-05, + "input_cost_per_token_above_272k_tokens": 6e-05, + "input_cost_per_token_priority": 6e-05, + "input_cost_per_token_above_272k_tokens_priority": 0.00012, + "litellm_provider": "azure_ai", + "max_input_tokens": 1050000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 0.00018, + "output_cost_per_token_above_272k_tokens": 0.00027, + "output_cost_per_token_priority": 0.00036, + "output_cost_per_token_above_272k_tokens_priority": 0.00054, + "source": "https://ai.azure.com/catalog/models/gpt-5.4-pro", + "supported_endpoints": [ + "/v1/batch", + "/v1/responses" + ], + 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"azure_ai/gpt-5.4-nano-2026-03-17": { + "cache_read_input_token_cost": 2e-08, + "cache_read_input_token_cost_above_272k_tokens": 4e-08, + "cache_read_input_token_cost_priority": 4e-08, + "cache_read_input_token_cost_above_272k_tokens_priority": 8e-08, + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_272k_tokens": 4e-07, + "input_cost_per_token_priority": 4e-07, + "input_cost_per_token_above_272k_tokens_priority": 8e-07, + "litellm_provider": "azure_ai", + "max_input_tokens": 400000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.25e-06, + "output_cost_per_token_above_272k_tokens": 1.875e-06, + "output_cost_per_token_priority": 2.5e-06, + "output_cost_per_token_above_272k_tokens_priority": 3.75e-06, + "source": "https://ai.azure.com/catalog/models/gpt-5.4-nano", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_web_search": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": false + }, "azure_ai/model_router": { "input_cost_per_token": 1.4e-07, "output_cost_per_token": 0, diff --git a/pyproject.toml b/pyproject.toml index 48effe0fa29..a397c10ce66 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,6 +63,7 @@ proxy = [ "polars==1.38.1", "soundfile==0.12.1", "pyroscope-io==0.8.16; sys_platform != 'win32'", + "pydantic-settings>=2.14.1", ] extra_proxy = [ "prisma==0.11.0", diff --git a/terraform/litellm/README.md b/terraform/litellm/README.md new file mode 100644 index 00000000000..5ca704b96dd --- /dev/null +++ b/terraform/litellm/README.md @@ -0,0 +1,159 @@ +# LiteLLM Terraform stacks + +Two self-contained Terraform root modules that deploy the **componentized** +LiteLLM proxy — the gateway, backend, and UI as three independent containers +(see `helm/litellm/` for the canonical chart with the same split). + +| Stack | Compute | Database (writer + reader) | Cache | Object store | Public entrypoint | +| ------ | ----------- | ---------------------------------- | ----------- | ------------ | ------------------ | +| `aws/` | ECS Fargate | Aurora Postgres (IAM auth) | ElastiCache | S3 | Application LB | +| `gcp/` | Cloud Run | Cloud SQL Postgres (password auth) | Memorystore | GCS | External HTTPS LB | + +Each stack creates its own VPC and managed data stores — drop in a tfvars +file and run `terraform apply`. Both stacks support a typed `proxy_config` +input (mirrors `helm/litellm`'s `gateway.config.proxy_config`) and per-component +extra env vars / secret-manager refs. + +## Components + +The proxy is split into three deployables: + +| Component | Default image | Port | Role | +| --------- | ---------------------------------------- | ---- | -------------------------------------------------------------------- | +| `gateway` | `ghcr.io/berriai/litellm-gateway:main-stable` | 4000 | LLM data plane (`/v1/chat/completions`, `/v1/embeddings`, …) | +| `backend` | `ghcr.io/berriai/litellm-backend:main-stable` | 4001 | Management API (`/key/*`, `/user/*`, `/team/*`, `/model/*`, …) | +| `ui` | `ghcr.io/berriai/litellm-ui:main-stable` | 3000 | Static Next.js dashboard served by nginx | + +The load balancer routes gateway path prefixes (mirrored verbatim from +`gateway/routes/allowlist.py`) to the gateway, UI asset paths (`/`, +`/litellm-asset-prefix/*`, `/_next/*`, `/favicon.ico`) to the UI, and +everything else to the backend. + +## Architecture + +### AWS (`terraform/litellm/aws/`) + +``` + ┌───────────────────────────────────────┐ + │ Public Internet │ + └─────────────────┬─────────────────────┘ + │ HTTP/80 + ┌───────────────▼───────────────┐ + │ Application Load Balancer │ + │ (path-routing listener) │ + └─┬─────────────┬─────────────┬─┘ + │ │ │ + UI assets, / │ /v1/chat, │ /key/* │ + /_next/*, … │ /v1/embed, │ /user/* │ + │ … │ … │ + ┌─────────────▼───┐ ┌──────▼──────┐ ┌───▼──────────────┐ + │ ECS Service │ │ ECS Service │ │ ECS Service │ + │ (ui) │ │ (gateway) │ │ (backend) │ + │ Fargate :3000 │ │ Fargate:4000│ │ Fargate :4001 │ + └─────────────────┘ └──────┬──────┘ └────────┬─────────┘ + │ │ + ┌─── private subnets (one per AZ) ──────────────────────┐ + │ │ + │ ┌────────────────────────┐ ┌────────────────┐ │ + │ │ Aurora Postgres │ │ ElastiCache │ │ + │ │ cluster (IAM auth) │ │ Redis (1 node)│ │ + │ │ ┌───────┐ ┌───────┐ │ └────────────────┘ │ + │ │ │writer │ │reader │ │ │ + │ │ └───────┘ └───────┘ │ ┌────────────────┐ │ + │ └────────────────────────┘ │ S3 bucket │ │ + │ │ (versioned) │ │ + │ ┌────────────────────────┐ └────────────────┘ │ + │ │ Secrets Manager │ │ + │ │ • LITELLM_MASTER_KEY │ ┌────────────────┐ │ + │ │ • DB master password │ │ One-off ECS │ │ + │ │ • user-supplied API │ │ task: prisma │ │ + │ │ keys (referenced) │ │ migrate deploy │ │ + │ └────────────────────────┘ └────────────────┘ │ + │ │ + └─── VPC ───────────────────────────────────────────────┘ + │ NAT gateway in one public subnet + ▼ + egress to LLM providers +``` + +### GCP (`terraform/litellm/gcp/`) + +``` + ┌───────────────────────────────────────┐ + │ Public Internet │ + └─────────────────┬─────────────────────┘ + │ HTTP/80 + ┌───────────────▼───────────────┐ + │ External HTTPS Load Balancer │ + │ (global, URL map routing) │ + └─┬─────────────┬─────────────┬─┘ + │ │ │ + │ Serverless NEGs (one per service) + │ │ │ + ┌─────────────▼───┐ ┌──────▼──────┐ ┌───▼──────────────┐ + │ Cloud Run │ │ Cloud Run │ │ Cloud Run │ + │ (ui) │ │ (gateway) │ │ (backend) │ + │ :3000 │ │ :4000 │ │ :4001 │ + └─────────────────┘ └──────┬──────┘ └────────┬─────────┘ + │ │ + │ Serverless VPC Access connector + ┌─── VPC (private services access range) ──────────────────┐ + │ │ + │ ┌────────────────────────┐ ┌──────────────────┐ │ + │ │ Cloud SQL Postgres │ │ Memorystore │ │ + │ │ ┌───────┐ ┌───────┐ │ │ Redis │ │ + │ │ │writer │ │reader │ │ └──────────────────┘ │ + │ │ └───────┘ └───────┘ │ │ + │ └────────────────────────┘ ┌──────────────────┐ │ + │ │ GCS bucket │ │ + │ ┌────────────────────────┐ │ (versioned) │ │ + │ │ Secret Manager │ └──────────────────┘ │ + │ │ • LITELLM_MASTER_KEY │ │ + │ │ • DB password │ ┌──────────────────┐ │ + │ │ • user-supplied API │ │ Cloud Run Job: │ │ + │ │ keys (referenced) │ │ prisma migrate │ │ + │ └────────────────────────┘ │ deploy │ │ + │ └──────────────────┘ │ + └──────────────────────────────────────────────────────────┘ +``` + +## Images + +Both stacks take per-component image references as variables. The defaults +point at the public `ghcr.io/berriai/litellm-:main-stable` +images, so the stack is runnable end-to-end without pre-flight setup — +pin to a specific tag for production: + +- **AWS** can pull from any registry the task execution role can reach. + The role gets `AmazonECSTaskExecutionRolePolicy` attached, which grants + ECR pull permissions for repositories in the same account. + +- **GCP Cloud Run** can only pull from Artifact Registry or + `gcr.io`-style registries. To use images hosted elsewhere, mirror them + into Artifact Registry first. + +## Migrations + +LiteLLM's proxy runs `prisma migrate deploy` at startup, but on first apply +the gateway/backend can race the empty database. Both stacks expose a +one-off migration task that runs `python litellm/proxy/prisma_migration.py` +against the backend image: + +- AWS: an `aws_ecs_task_definition` (`litellm-migrations`). Run with + `aws ecs run-task` — the command is printed in `terraform output`. +- GCP: a `google_cloud_run_v2_job` (`litellm-migrations`). Run with + `gcloud run jobs execute` — the command is printed in `terraform output`. + +Run the migration job once after the first `terraform apply` and before the +gateway/backend services start serving traffic. + +## What's not included + +- TLS certificates / custom domains. Both stacks expose plain-HTTP load + balancers; bring your own ACM cert (AWS) or managed cert (GCP) and wire + it into the LB resource. +- Remote state backends. Default local state — add an `s3` or `gcs` + backend block to `versions.tf` when graduating to a team environment. +- Observability beyond the cloud provider's defaults (CloudWatch logs on + AWS, Cloud Logging on GCP). Wire your own Prometheus / Datadog / Langfuse + via the `*_extra_env` variables. diff --git a/terraform/litellm/aws/.terraform.lock.hcl b/terraform/litellm/aws/.terraform.lock.hcl new file mode 100644 index 00000000000..30b2a194c4c --- /dev/null +++ b/terraform/litellm/aws/.terraform.lock.hcl @@ -0,0 +1,45 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/aws" { + version = "5.100.0" + constraints = "~> 5.60" + hashes = [ + "h1:Ijt7pOlB7Tr7maGQIqtsLFbl7pSMIj06TVdkoSBcYOw=", + "zh:054b8dd49f0549c9a7cc27d159e45327b7b65cf404da5e5a20da154b90b8a644", + "zh:0b97bf8d5e03d15d83cc40b0530a1f84b459354939ba6f135a0086c20ebbe6b2", + "zh:1589a2266af699cbd5d80737a0fe02e54ec9cf2ca54e7e00ac51c7359056f274", + "zh:6330766f1d85f01ae6ea90d1b214b8b74cc8c1badc4696b165b36ddd4cc15f7b", + "zh:7c8c2e30d8e55291b86fcb64bdf6c25489d538688545eb48fd74ad622e5d3862", + "zh:99b1003bd9bd32ee323544da897148f46a527f622dc3971af63ea3e251596342", + "zh:9b12af85486a96aedd8d7984b0ff811a4b42e3d88dad1a3fb4c0b580d04fa425", + "zh:9f8b909d3ec50ade83c8062290378b1ec553edef6a447c56dadc01a99f4eaa93", + "zh:aaef921ff9aabaf8b1869a86d692ebd24fbd4e12c21205034bb679b9caf883a2", + "zh:ac882313207aba00dd5a76dbd572a0ddc818bb9cbf5c9d61b28fe30efaec951e", + "zh:bb64e8aff37becab373a1a0cc1080990785304141af42ed6aa3dd4913b000421", + "zh:dfe495f6621df5540d9c92ad40b8067376350b005c637ea6efac5dc15028add4", + "zh:f0ddf0eaf052766cfe09dea8200a946519f653c384ab4336e2a4a64fdd6310e9", + "zh:f1b7e684f4c7ae1eed272b6de7d2049bb87a0275cb04dbb7cda6636f600699c9", + "zh:ff461571e3f233699bf690db319dfe46aec75e58726636a0d97dd9ac6e32fb70", + ] +} + +provider "registry.terraform.io/hashicorp/random" { + version = "3.8.1" + constraints = "~> 3.6" + hashes = [ + "h1:u8AKlWVDTH5r9YLSeswoVEjiY72Rt4/ch7U+61ZDkiQ=", + "zh:08dd03b918c7b55713026037c5400c48af5b9f468f483463321bd18e17b907b4", + "zh:0eee654a5542dc1d41920bbf2419032d6f0d5625b03bd81339e5b33394a3e0ae", + "zh:229665ddf060aa0ed315597908483eee5b818a17d09b6417a0f52fd9405c4f57", + "zh:2469d2e48f28076254a2a3fc327f184914566d9e40c5780b8d96ebf7205f8bc0", + "zh:37d7eb334d9561f335e748280f5535a384a88675af9a9eac439d4cfd663bcb66", + "zh:741101426a2f2c52dee37122f0f4a2f2d6af6d852cb1db634480a86398fa3511", + "zh:78d5eefdd9e494defcb3c68d282b8f96630502cac21d1ea161f53cfe9bb483b3", + "zh:a902473f08ef8df62cfe6116bd6c157070a93f66622384300de235a533e9d4a9", + "zh:b85c511a23e57a2147355932b3b6dce2a11e856b941165793a0c3d7578d94d05", + "zh:c5172226d18eaac95b1daac80172287b69d4ce32750c82ad77fa0768be4ea4b8", + "zh:dab4434dba34aad569b0bc243c2d3f3ff86dd7740def373f2a49816bd2ff819b", + "zh:f49fd62aa8c5525a5c17abd51e27ca5e213881d58882fd42fec4a545b53c9699", + ] +} diff --git a/terraform/litellm/aws/README.md b/terraform/litellm/aws/README.md new file mode 100644 index 00000000000..8638ea800ec --- /dev/null +++ b/terraform/litellm/aws/README.md @@ -0,0 +1,254 @@ +# LiteLLM on AWS (ECS Fargate) + +Deploys the componentized LiteLLM proxy on AWS: + +- **VPC** with public + private subnets across the AZs you pass in, one NAT gateway +- **Aurora Postgres** cluster — one writer instance + one reader instance, **IAM database authentication enabled** +- **ElastiCache Redis** (private, replication group with multi-AZ failover and at-rest + in-transit encryption) for caching + rate limiting +- **S3 bucket** (private, versioned, SSE-S3) — exposed to gateway + backend as `S3_BUCKET_NAME` / `S3_REGION_NAME` for cache backend, request log archival, and `/v1/files` storage +- **Secrets Manager** entries for `LITELLM_MASTER_KEY` (auto-generated, `sk-…`) and the Aurora master password (bootstrap-only) +- **ECS Fargate cluster** running three services — `gateway`, `backend`, `ui` +- **Application Load Balancer** (public, HTTP/80) with path-based routing: + - LLM data-plane prefixes (`/v1/chat/*`, `/v1/embeddings`, …) → `gateway` + - UI assets (`/`, `/_next/*`, `/litellm-asset-prefix/*`, …) → `ui` + - Everything else (management API: `/key/*`, `/user/*`, …) → `backend` +- **One-off migration task** (`litellm-migrations`) that runs `prisma migrate deploy` from the dedicated `ghcr.io/berriai/litellm-migrations` image + +## Aurora + IAM auth + +The cluster runs with `iam_database_authentication_enabled = true`. Enabling +that on the cluster doesn't by itself let any Postgres user log in with an IAM +token — you also need to `CREATE USER ... GRANT rds_iam` once. `bootstrap.tf` +does this automatically during `terraform apply` via a one-shot Fargate task +(`postgres:16-alpine` running the bootstrap SQL with the master password from +Secrets Manager). The SQL is idempotent, so re-applies are safe. + +The same apply also runs the prisma schema migration via the existing +`litellm-migrations` task definition, and the gateway/backend services +`depends_on` the migration so they don't start until the schema is in place. + +At runtime, the proxy assembles `DATABASE_URL` from `DATABASE_HOST/PORT/USER/NAME` +plus a short-lived IAM token — see `litellm/proxy/auth/rds_iam_token.py`. The +task role has `rds-db:connect` scoped to the IAM-authed user on the cluster. + +**Break-glass.** If you need to run the bootstrap or migration by hand (e.g., +to re-apply against an externally provisioned cluster), `db_bootstrap_sql` and +`migration_run_command` are still exposed as outputs. + +**Prerequisite.** `terraform apply` shells out to `aws ecs run-task` / +`aws ecs wait` in `local-exec` provisioners, so the machine running terraform +needs the `aws` CLI installed and authenticated. + +## Configuring the proxy + +### `proxy_config` (preferred) + +Mirrors the helm chart's `gateway.config.proxy_config`. The map is YAML-encoded +and base64-passed to gateway, backend, and the migration task; each container +decodes it to `/tmp/litellm-config.yaml` at startup and sets `CONFIG_FILE_PATH` +to match. + +```hcl +proxy_config = { + model_list = [ + { + model_name = "gpt-4o" + litellm_params = { + model = "openai/gpt-4o" + api_key = "os.environ/OPENAI_API_KEY" + } + }, + ] + general_settings = { + master_key = "os.environ/LITELLM_MASTER_KEY" + database_url = "os.environ/DATABASE_URL" + } +} +``` + +LiteLLM resolves `os.environ/` references in the YAML against the +container's environment. That means provider API keys belong in +`*_extra_secrets` (next section), and your YAML just references them by name. + +### Extra env vars + +Non-sensitive plaintext (feature flags, observability hosts, etc.): + +```hcl +gateway_extra_env = { + LANGFUSE_HOST = "https://us.cloud.langfuse.com" +} +backend_extra_env = { + STORE_MODEL_IN_DB = "True" +} +``` + +### Extra secrets (API keys) + +Sensitive values — provider API keys, third-party tokens — live in **existing +Secrets Manager secrets**. Reference them by ARN: + +```hcl +gateway_extra_secrets = { + OPENAI_API_KEY = "arn:aws:secretsmanager:us-west-2:111122223333:secret:openai-api-key-AbCdEf" + ANTHROPIC_API_KEY = "arn:aws:secretsmanager:us-west-2:111122223333:secret:anthropic-api-key-GhIjKl" +} +``` + +What happens under the hood: +- The execution role auto-gains `secretsmanager:GetSecretValue` on every ARN + listed here. +- ECS resolves each secret at task launch and injects its value into the + container as the env var named on the left. +- The `proxy_config` YAML references the resulting env var via + `os.environ/OPENAI_API_KEY`. + +To pluck a single field out of a JSON secret, use ECS's `:fieldName::` suffix: + +```hcl +gateway_extra_secrets = { + OPENAI_API_KEY = "arn:…:secret:provider-keys-AbCdEf:openai_api_key::" +} +``` + +To create the secret beforehand: + +```bash +aws secretsmanager create-secret \ + --name openai-api-key \ + --secret-string "sk-proj-..." +``` + +## Tenant deployment + +Every resource the stack creates is named `${tenant}-litellm-${env}` (or +that plus a per-resource suffix), so multiple tenants and multiple +environments coexist in the same account as long as the `(tenant, env)` +pair differs: + +| `tenant` | `env` | Example resource name | +| -------- | ------- | ---------------------------------- | +| `acme` | `stage` | `acme-litellm-stage-gateway` | +| `acme` | `prod` | `acme-litellm-prod-master-key` | +| `globex` | `dev` | `globex-litellm-dev-license` | + +For a per-tenant instance, the only inputs that change are the tenant +slug, env, and the two pre-issued secrets: + +```bash +export TF_VAR_litellm_master_key="sk-..." # the tenant's master key +export TF_VAR_litellm_license="lic-..." # their LITELLM_LICENSE + +terraform apply \ + -var "region=us-west-2" \ + -var 'azs=["us-west-2a","us-west-2b"]' \ + -var "tenant=acme" \ + -var "env=stage" +``` + +Both `litellm_master_key` and `litellm_license` are optional: +- Omit `litellm_master_key` → the stack auto-generates a random `sk-…` + value (trial/dev path). +- Omit `litellm_license` → no license secret is created and gateway/ + backend run without `LITELLM_LICENSE` (OSS-only). + +Use `TF_VAR_*` env vars rather than tfvars files for these — values +written to a tfvars file end up in `terraform.tfstate` and any committed +example files. + +## Quick start + +```bash +cd terraform/litellm/aws +cp terraform.tfvars.example terraform.tfvars +# Edit: region, tenant, env, azs, *_image, proxy_config, gateway_extra_secrets. + +terraform init +terraform apply +``` + +That single apply provisions everything, runs the DB user bootstrap, runs the +schema migration, and only then starts the gateway/backend services. When it +returns, the stack is serving traffic. + +```bash +terraform output alb_url +# UI login: admin / +aws secretsmanager get-secret-value \ + --secret-id "$(terraform output -raw master_key_secret_arn)" \ + --query SecretString --output text +``` + +## Image pulls + +The defaults pull from `ghcr.io/berriai/litellm-:v1.86.0-dev`, +which is anonymous-readable. There are four images: `litellm-gateway`, +`litellm-backend`, `litellm-ui`, and `litellm-migrations` (slim image used +only by the one-off migration task — runs `prisma migrate deploy` against +the writer DB and exits). Bump them together when bumping LiteLLM. To pull +from a private registry: + +- **ECR (same account)**: the execution role already has + `AmazonECSTaskExecutionRolePolicy`, which grants ECR pull for repos in + the same account. No extra config needed. +- **ECR (cross-account)**: attach a policy to the execution role allowing + `ecr:GetAuthorizationToken` + `ecr:BatchGetImage` on the foreign repo + ARNs. +- **Other private registries** (GHCR with a PAT, Docker Hub, …): create a + secret holding `{"auths":{"":{"auth":""}}}` + in Secrets Manager and set `repositoryCredentials.credentialsParameter` + on the task def container — extend `ecs.tf` accordingly. + +## TLS + +`terraform plan` refuses to provision an HTTP-only ALB by default — TLS +is the supported posture. Two paths: + +**Production / staging — provide an ACM certificate:** + +1. Create or import an ACM cert in `var.region` covering the DNS name you + plan to point at the ALB. +2. Set `acm_certificate_arn = "arn:aws:acm:..."` in tfvars and apply. + +Result: a 443 listener carries the path-routing rules; the 80 listener +serves a permanent 301 redirect to HTTPS, so HTTP clients are +automatically upgraded. + +**Trial / dev — explicitly opt into HTTP-only:** + +Set `allow_plaintext_alb = true` in tfvars. Without this flag, plan fails +with a clear error pointing at the precondition. Intended for short-lived +trial / dev stacks only. + +## Storage and database retention + +Three opt-in tripwires guard against accidental data loss on +`terraform destroy`: + +- **`skip_final_snapshot`** (Aurora; default `false`) — destroying the + cluster takes a `-final-` snapshot first. +- **`s3_force_destroy`** (S3 bucket holding request log archives, + `/v1/files` content, and the S3 cache backend; default `false`) — + `terraform destroy` against a non-empty bucket fails. + +Flip either to `true` only for ephemeral / CI stacks where you accept +losing the contents. + +## Files + +| File | What's in it | +| ----------------- | --------------------------------------------------------------------- | +| `versions.tf` | Terraform + provider version constraints | +| `providers.tf` | AWS provider (region + default tags) | +| `variables.tf` | All input variables | +| `locals.tf` | Path-prefix lists for ALB routing (mirror of `helm/.../ingress.yaml`) | +| `network.tf` | VPC, subnets, IGW, NAT, route tables, security groups | +| `secrets.tf` | Secrets Manager entries + random passwords | +| `rds.tf` | Aurora Postgres cluster + writer / reader instances | +| `redis.tf` | ElastiCache Redis | +| `s3.tf` | S3 bucket + task-role policy scoped to it | +| `iam.tf` | Task execution + task roles, including `rds-db:connect` | +| `ecs.tf` | ECS cluster, task definitions, services for the three components | +| `alb.tf` | ALB, listener, target groups, path-routing rules | +| `migrations.tf` | One-off migration task definition | +| `outputs.tf` | DNS name, secret ARN, bootstrap SQL, migration `run-task` command | diff --git a/terraform/litellm/aws/alb.tf b/terraform/litellm/aws/alb.tf new file mode 100644 index 00000000000..de0d9c2310f --- /dev/null +++ b/terraform/litellm/aws/alb.tf @@ -0,0 +1,179 @@ +resource "aws_lb" "this" { + name = local.name + load_balancer_type = "application" + internal = false + security_groups = [aws_security_group.alb.id] + subnets = aws_subnet.public[*].id + + idle_timeout = 120 +} + +locals { + # When an ACM cert ARN is provided we provision a 443 listener carrying + # the path-routing rules and downgrade the 80 listener to a redirect. + tls_enabled = var.acm_certificate_arn != "" + rules_listener_arn = local.tls_enabled ? aws_lb_listener.https[0].arn : aws_lb_listener.http.arn +} + +# Target groups — one per component. IP target type because Fargate tasks +# are addressed by ENI IP, not instance. + +resource "aws_lb_target_group" "gateway" { + name = "${local.name}-gateway" + port = 4000 + protocol = "HTTP" + target_type = "ip" + vpc_id = aws_vpc.this.id + + health_check { + path = "/health/readiness" + matcher = "200-299" + interval = 30 + timeout = 10 + healthy_threshold = 2 + unhealthy_threshold = 3 + } + + deregistration_delay = 30 +} + +resource "aws_lb_target_group" "backend" { + name = "${local.name}-backend" + port = 4001 + protocol = "HTTP" + target_type = "ip" + vpc_id = aws_vpc.this.id + + health_check { + path = "/health/readiness" + matcher = "200-299" + interval = 30 + timeout = 10 + healthy_threshold = 2 + unhealthy_threshold = 3 + } + + deregistration_delay = 30 +} + +resource "aws_lb_target_group" "ui" { + name = "${local.name}-ui" + port = 3000 + protocol = "HTTP" + target_type = "ip" + vpc_id = aws_vpc.this.id + + health_check { + path = "/healthz" + matcher = "200-299" + interval = 30 + timeout = 5 + healthy_threshold = 2 + unhealthy_threshold = 3 + } + + deregistration_delay = 30 +} + +# HTTP listener. When TLS is enabled this only serves a permanent +# 301 redirect to HTTPS; otherwise it carries the path-routing rules +# (default → backend). +resource "aws_lb_listener" "http" { + load_balancer_arn = aws_lb.this.arn + port = 80 + protocol = "HTTP" + + default_action { + type = local.tls_enabled ? "redirect" : "forward" + + dynamic "redirect" { + for_each = local.tls_enabled ? [1] : [] + content { + port = "443" + protocol = "HTTPS" + status_code = "HTTP_301" + } + } + + target_group_arn = local.tls_enabled ? null : aws_lb_target_group.backend.arn + } + + # Default-deny on the HTTP-only path: TLS is the supported posture. + # Operators must either supply an ACM cert or explicitly opt in. + lifecycle { + precondition { + condition = local.tls_enabled || var.allow_plaintext_alb + error_message = "ALB has no HTTPS listener. Either set `acm_certificate_arn` to enable TLS, or set `allow_plaintext_alb = true` to opt into HTTP-only (trial / dev only)." + } + } +} + +# HTTPS listener. Only created when an ACM cert ARN is supplied — terminates +# TLS and carries the same default + path-routing rules. +resource "aws_lb_listener" "https" { + count = local.tls_enabled ? 1 : 0 + load_balancer_arn = aws_lb.this.arn + port = 443 + protocol = "HTTPS" + ssl_policy = "ELBSecurityPolicy-TLS13-1-2-2021-06" + certificate_arn = var.acm_certificate_arn + + default_action { + type = "forward" + target_group_arn = aws_lb_target_group.backend.arn + } +} + +# UI exact paths (/, /favicon.ico, /ui) — priority 10. +resource "aws_lb_listener_rule" "ui_exact" { + listener_arn = local.rules_listener_arn + priority = 10 + + action { + type = "forward" + target_group_arn = aws_lb_target_group.ui.arn + } + + condition { + path_pattern { + values = local.ui_exact_paths + } + } +} + +# UI prefix paths (/_next/*, /litellm-asset-prefix/*, /assets/*, /ui/*) — priority 20. +resource "aws_lb_listener_rule" "ui_prefix" { + listener_arn = local.rules_listener_arn + priority = 20 + + action { + type = "forward" + target_group_arn = aws_lb_target_group.ui.arn + } + + condition { + path_pattern { + values = local.ui_path_prefixes + } + } +} + +# Gateway prefix rules — one per chunk-of-5 because ALB caps a path-pattern +# condition at 5 values. Priorities 100..(100 + N). +resource "aws_lb_listener_rule" "gateway" { + for_each = { for idx, chunk in local.gateway_path_chunks : idx => chunk } + + listener_arn = local.rules_listener_arn + priority = 100 + tonumber(each.key) + + action { + type = "forward" + target_group_arn = aws_lb_target_group.gateway.arn + } + + condition { + path_pattern { + values = each.value + } + } +} diff --git a/terraform/litellm/aws/autoscaling.tf b/terraform/litellm/aws/autoscaling.tf new file mode 100644 index 00000000000..71b6c24fac7 --- /dev/null +++ b/terraform/litellm/aws/autoscaling.tf @@ -0,0 +1,105 @@ +# Application Auto Scaling for the three ECS services. Mirrors the HPA values +# baked into the helm chart at helm/litellm/values.yaml: +# +# gateway: 1-10 replicas, target 70% CPU + 80% memory +# backend: 1-4 replicas, target 70% CPU +# ui: 1-3 replicas, target 80% CPU (off by default; nginx static export) +# +# Each service gets a scalable target plus one target-tracking policy per metric. +# When autoscaling is disabled (count=0) the resources collapse cleanly out of +# the plan; the service's desired_count from ecs.tf stays in effect. + +# ---------- Gateway ---------- +resource "aws_appautoscaling_target" "gateway" { + count = var.gateway_autoscaling_enabled ? 1 : 0 + service_namespace = "ecs" + resource_id = "service/${aws_ecs_cluster.this.name}/${aws_ecs_service.gateway.name}" + scalable_dimension = "ecs:service:DesiredCount" + min_capacity = var.gateway_min_capacity + max_capacity = var.gateway_max_capacity +} + +resource "aws_appautoscaling_policy" "gateway_cpu" { + count = var.gateway_autoscaling_enabled ? 1 : 0 + name = "${local.name}-gateway-cpu" + policy_type = "TargetTrackingScaling" + service_namespace = aws_appautoscaling_target.gateway[0].service_namespace + resource_id = aws_appautoscaling_target.gateway[0].resource_id + scalable_dimension = aws_appautoscaling_target.gateway[0].scalable_dimension + + target_tracking_scaling_policy_configuration { + predefined_metric_specification { + predefined_metric_type = "ECSServiceAverageCPUUtilization" + } + target_value = var.gateway_cpu_target + } +} + +resource "aws_appautoscaling_policy" "gateway_memory" { + # Memory policy is optional; set gateway_memory_target = 0 to omit it. + count = var.gateway_autoscaling_enabled && var.gateway_memory_target > 0 ? 1 : 0 + name = "${local.name}-gateway-memory" + policy_type = "TargetTrackingScaling" + service_namespace = aws_appautoscaling_target.gateway[0].service_namespace + resource_id = aws_appautoscaling_target.gateway[0].resource_id + scalable_dimension = aws_appautoscaling_target.gateway[0].scalable_dimension + + target_tracking_scaling_policy_configuration { + predefined_metric_specification { + predefined_metric_type = "ECSServiceAverageMemoryUtilization" + } + target_value = var.gateway_memory_target + } +} + +# ---------- Backend ---------- +resource "aws_appautoscaling_target" "backend" { + count = var.backend_autoscaling_enabled ? 1 : 0 + service_namespace = "ecs" + resource_id = "service/${aws_ecs_cluster.this.name}/${aws_ecs_service.backend.name}" + scalable_dimension = "ecs:service:DesiredCount" + min_capacity = var.backend_min_capacity + max_capacity = var.backend_max_capacity +} + +resource "aws_appautoscaling_policy" "backend_cpu" { + count = var.backend_autoscaling_enabled ? 1 : 0 + name = "${local.name}-backend-cpu" + policy_type = "TargetTrackingScaling" + service_namespace = aws_appautoscaling_target.backend[0].service_namespace + resource_id = aws_appautoscaling_target.backend[0].resource_id + scalable_dimension = aws_appautoscaling_target.backend[0].scalable_dimension + + target_tracking_scaling_policy_configuration { + predefined_metric_specification { + predefined_metric_type = "ECSServiceAverageCPUUtilization" + } + target_value = var.backend_cpu_target + } +} + +# ---------- UI ---------- +resource "aws_appautoscaling_target" "ui" { + count = var.ui_autoscaling_enabled ? 1 : 0 + service_namespace = "ecs" + resource_id = "service/${aws_ecs_cluster.this.name}/${aws_ecs_service.ui.name}" + scalable_dimension = "ecs:service:DesiredCount" + min_capacity = var.ui_min_capacity + max_capacity = var.ui_max_capacity +} + +resource "aws_appautoscaling_policy" "ui_cpu" { + count = var.ui_autoscaling_enabled ? 1 : 0 + name = "${local.name}-ui-cpu" + policy_type = "TargetTrackingScaling" + service_namespace = aws_appautoscaling_target.ui[0].service_namespace + resource_id = aws_appautoscaling_target.ui[0].resource_id + scalable_dimension = aws_appautoscaling_target.ui[0].scalable_dimension + + target_tracking_scaling_policy_configuration { + predefined_metric_specification { + predefined_metric_type = "ECSServiceAverageCPUUtilization" + } + target_value = var.ui_cpu_target + } +} diff --git a/terraform/litellm/aws/bootstrap.tf b/terraform/litellm/aws/bootstrap.tf new file mode 100644 index 00000000000..e9a56dedbb5 --- /dev/null +++ b/terraform/litellm/aws/bootstrap.tf @@ -0,0 +1,185 @@ +# Auto-runs the two manual steps that used to follow `terraform apply`: +# +# 1. Create the IAM-authed Postgres user (litellm_app) — uses the postgres:16 +# image with the master password from Secrets Manager. +# 2. Run prisma migrate deploy — reuses the existing aws_ecs_task_definition +# .migrations task def from migrations.tf. +# +# Both are invoked via `terraform_data` provisioners. Gateway/backend services +# in ecs.tf depend on `terraform_data.migration`, so on a fresh apply they +# don't start until the schema is in place — no crash-loop window. +# +# Triggers: +# - bootstrap_db re-runs if the Aurora cluster is recreated, or if the +# bootstrap task definition (image/SQL) changes. +# - migration re-runs if the migration task def revision changes (e.g., new +# backend image with new prisma migration files) or if bootstrap re-ran. +# +# Requires `aws` CLI on the machine running terraform. For laptop usage that's +# fine; for CI/CD the runner image needs `aws`. + +# ---------- IAM ---------- +# Execution role can already read the runtime secrets (master_key, user-provided +# extras — see iam.tf). The DB master password lives in a separate secret used +# only here, so we grant access in an additive policy. +resource "aws_iam_policy" "bootstrap_secrets" { + name = "${local.name}-bootstrap-secrets-access" + policy = jsonencode({ + Version = "2012-10-17" + Statement = [{ + Effect = "Allow" + Action = ["secretsmanager:GetSecretValue"] + Resource = [aws_secretsmanager_secret.db_master_password.arn] + }] + }) +} + +resource "aws_iam_role_policy_attachment" "task_execution_bootstrap_secrets" { + role = aws_iam_role.task_execution.name + policy_arn = aws_iam_policy.bootstrap_secrets.arn +} + +# ---------- Bootstrap task def ---------- +resource "aws_cloudwatch_log_group" "bootstrap_db" { + name = "/ecs/${local.name}/bootstrap-db" + retention_in_days = var.log_retention_days +} + +locals { + # Idempotent: CREATE USER is wrapped in DO/EXCEPTION; GRANTs are + # idempotent by definition (re-granting is a no-op). Safe to re-run on + # any subsequent apply. + bootstrap_sql = <<-SQL + DO $$ + BEGIN + CREATE USER ${var.db_username}; + EXCEPTION WHEN duplicate_object THEN NULL; + END $$; + GRANT rds_iam TO ${var.db_username}; + GRANT ALL PRIVILEGES ON DATABASE ${var.db_name} TO ${var.db_username}; + GRANT ALL ON SCHEMA public TO ${var.db_username}; + ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT ALL ON TABLES TO ${var.db_username}; + ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT ALL ON SEQUENCES TO ${var.db_username}; + SQL +} + +resource "aws_ecs_task_definition" "bootstrap_db" { + family = "${local.name}-bootstrap-db" + network_mode = "awsvpc" + requires_compatibilities = ["FARGATE"] + cpu = 256 + memory = 512 + execution_role_arn = aws_iam_role.task_execution.arn + task_role_arn = aws_iam_role.task.arn + + container_definitions = jsonencode([{ + name = "psql" + image = "postgres:16-alpine" + essential = true + + environment = [ + { name = "PGHOST", value = aws_rds_cluster.this.endpoint }, + { name = "PGPORT", value = tostring(aws_rds_cluster.this.port) }, + { name = "PGUSER", value = var.db_master_username }, + { name = "PGDATABASE", value = var.db_name }, + { name = "BOOTSTRAP_SQL", value = local.bootstrap_sql }, + ] + secrets = [ + # `:password::` extracts the password field out of the JSON secret. + { name = "PGPASSWORD", valueFrom = "${aws_secretsmanager_secret.db_master_password.arn}:password::" }, + ] + + entryPoint = ["sh", "-c"] + command = ["echo \"$BOOTSTRAP_SQL\" | psql -v ON_ERROR_STOP=1"] + + logConfiguration = { + logDriver = "awslogs" + options = { + awslogs-group = aws_cloudwatch_log_group.bootstrap_db.name + awslogs-region = var.region + awslogs-stream-prefix = "bootstrap" + } + } + }]) +} + +# ---------- Bootstrap trigger ---------- +resource "terraform_data" "bootstrap_db" { + triggers_replace = { + cluster_resource_id = aws_rds_cluster.this.cluster_resource_id + task_def_revision = aws_ecs_task_definition.bootstrap_db.revision + } + + provisioner "local-exec" { + interpreter = ["bash", "-c"] + environment = { + CLUSTER = aws_ecs_cluster.this.name + TASK_DEF = aws_ecs_task_definition.bootstrap_db.arn + SUBNETS = join(",", aws_subnet.private[*].id) + SG = aws_security_group.tasks.id + REGION = var.region + LOG_GRP = aws_cloudwatch_log_group.bootstrap_db.name + } + command = <<-EOT + set -euo pipefail + task_arn=$(aws ecs run-task --region "$REGION" --cluster "$CLUSTER" \ + --launch-type FARGATE --task-definition "$TASK_DEF" \ + --network-configuration "awsvpcConfiguration={subnets=[$SUBNETS],securityGroups=[$SG],assignPublicIp=DISABLED}" \ + --query 'tasks[0].taskArn' --output text) + echo "bootstrap task: $task_arn" + aws ecs wait tasks-stopped --region "$REGION" --cluster "$CLUSTER" --tasks "$task_arn" + task_id=$(echo "$task_arn" | awk -F/ '{print $NF}') + exit_code=$(aws ecs describe-tasks --region "$REGION" --cluster "$CLUSTER" --tasks "$task_id" \ + --query 'tasks[0].containers[0].exitCode' --output text) + if [ "$exit_code" != "0" ]; then + echo "Bootstrap failed (exit=$exit_code). Logs: $LOG_GRP" >&2 + exit 1 + fi + EOT + } + + depends_on = [ + aws_rds_cluster_instance.writer, + aws_iam_role_policy_attachment.task_execution_bootstrap_secrets, + ] +} + +# ---------- Migration trigger ---------- +# Reuses the task definition from migrations.tf — this resource just invokes +# it and waits. +resource "terraform_data" "migration" { + triggers_replace = { + task_def_revision = aws_ecs_task_definition.migrations.revision + bootstrap_id = terraform_data.bootstrap_db.id + } + + provisioner "local-exec" { + interpreter = ["bash", "-c"] + environment = { + CLUSTER = aws_ecs_cluster.this.name + TASK_DEF = aws_ecs_task_definition.migrations.arn + SUBNETS = join(",", aws_subnet.private[*].id) + SG = aws_security_group.tasks.id + REGION = var.region + LOG_GRP = aws_cloudwatch_log_group.migrations.name + } + command = <<-EOT + set -euo pipefail + task_arn=$(aws ecs run-task --region "$REGION" --cluster "$CLUSTER" \ + --launch-type FARGATE --task-definition "$TASK_DEF" \ + --network-configuration "awsvpcConfiguration={subnets=[$SUBNETS],securityGroups=[$SG],assignPublicIp=DISABLED}" \ + --query 'tasks[0].taskArn' --output text) + echo "migration task: $task_arn" + aws ecs wait tasks-stopped --region "$REGION" --cluster "$CLUSTER" --tasks "$task_arn" + task_id=$(echo "$task_arn" | awk -F/ '{print $NF}') + exit_code=$(aws ecs describe-tasks --region "$REGION" --cluster "$CLUSTER" --tasks "$task_id" \ + --query 'tasks[0].containers[0].exitCode' --output text) + if [ "$exit_code" != "0" ]; then + echo "Migration failed (exit=$exit_code). Logs: $LOG_GRP" >&2 + exit 1 + fi + EOT + } + + depends_on = [terraform_data.bootstrap_db] +} diff --git a/terraform/litellm/aws/ecs.tf b/terraform/litellm/aws/ecs.tf new file mode 100644 index 00000000000..a6d2350c681 --- /dev/null +++ b/terraform/litellm/aws/ecs.tf @@ -0,0 +1,347 @@ +resource "aws_ecs_cluster" "this" { + name = local.name + + setting { + name = "containerInsights" + value = "enabled" + } +} + +resource "aws_cloudwatch_log_group" "gateway" { + name = "/ecs/${local.name}/gateway" + retention_in_days = var.log_retention_days +} + +resource "aws_cloudwatch_log_group" "backend" { + name = "/ecs/${local.name}/backend" + retention_in_days = var.log_retention_days +} + +resource "aws_cloudwatch_log_group" "ui" { + name = "/ecs/${local.name}/ui" + retention_in_days = var.log_retention_days +} + +resource "aws_cloudwatch_log_group" "migrations" { + name = "/ecs/${local.name}/migrations" + retention_in_days = var.log_retention_days +} + +# Shared env block fed to gateway, backend, and the migration task. Mirrors +# the helm chart's `litellm.serverEnv` helper on the IAM-auth branch: +# DATABASE_URL is assembled at runtime by +# litellm/proxy/auth/rds_iam_token.py::init_iam_db_url_from_env from +# HOST/PORT/USER/NAME plus an IAM-signed token, so no DB password is needed +# in the task definition. +locals { + shared_env = [ + { name = "IAM_TOKEN_DB_AUTH", value = "true" }, + { name = "DATABASE_HOST", value = aws_rds_cluster.this.endpoint }, + { name = "DATABASE_PORT", value = tostring(aws_rds_cluster.this.port) }, + { name = "DATABASE_USER", value = var.db_username }, + { name = "DATABASE_NAME", value = var.db_name }, + { name = "DATABASE_HOST_READ_REPLICA", value = aws_rds_cluster.this.reader_endpoint }, + { name = "DATABASE_PORT_READ_REPLICA", value = tostring(aws_rds_cluster.this.port) }, + { name = "REDIS_HOST", value = aws_elasticache_replication_group.this.primary_endpoint_address }, + { name = "REDIS_PORT", value = tostring(aws_elasticache_replication_group.this.port) }, + # transit_encryption_enabled = true on the replication group means the + # proxy must connect via rediss://. _redis.get_redis_url_from_environment + # honors REDIS_SSL to flip the scheme. + { name = "REDIS_SSL", value = "true" }, + # S3 bucket — referenced from proxy_config via os.environ/S3_BUCKET_NAME + # (e.g. cache backend, request log archival, /files passthrough). + { name = "S3_BUCKET_NAME", value = aws_s3_bucket.this.bucket }, + { name = "S3_REGION_NAME", value = var.region }, + # boto3 inside generate_iam_auth_token reads AWS_REGION_NAME first, then + # AWS_REGION. Set both for compatibility. + { name = "AWS_REGION", value = var.region }, + { name = "AWS_REGION_NAME", value = var.region }, + ] + + shared_secrets = concat( + [ + { name = "LITELLM_MASTER_KEY", valueFrom = aws_secretsmanager_secret.master_key.arn }, + ], + var.litellm_license == "" ? [] : [ + { name = "LITELLM_LICENSE", valueFrom = aws_secretsmanager_secret.license[0].arn }, + ], + ) + + # Backend-only managed secrets. UI_PASSWORD is consumed by the management + # API (UI login flow) and has no use on the gateway data plane. + backend_managed_secrets = var.ui_password == "" ? [] : [ + { name = "UI_PASSWORD", valueFrom = aws_secretsmanager_secret.ui_password[0].arn }, + ] + + gateway_extra_env_list = [ + for k, v in var.gateway_extra_env : { name = k, value = v } + ] + backend_extra_env_list = [ + for k, v in var.backend_extra_env : { name = k, value = v } + ] + + backend_default_env = [ + { name = "STORE_MODEL_IN_DB", value = "true" }, + ] + gateway_extra_secrets_list = [ + for k, v in var.gateway_extra_secrets : { name = k, valueFrom = v } + ] + backend_extra_secrets_list = [ + for k, v in var.backend_extra_secrets : { name = k, valueFrom = v } + ] + + # Mirrors the helm chart's gateway.config.create / configmap pattern. + # ECS Fargate has no ConfigMap analogue, so we pass the YAML as a + # base64-encoded env var and decode it at container start via a tiny + # python shim that prepends the image's normal uvicorn entrypoint. + proxy_config_enabled = length(keys(var.proxy_config)) > 0 + proxy_config_b64 = local.proxy_config_enabled ? base64encode(yamlencode(var.proxy_config)) : "" + + proxy_config_env = local.proxy_config_enabled ? [ + { name = "LITELLM_PROXY_CONFIG_B64", value = local.proxy_config_b64 }, + { name = "CONFIG_FILE_PATH", value = "/tmp/litellm-config.yaml" }, + ] : [] + + # Gateway always needs --workers wired in (no NUM_WORKERS env var support + # in the image entrypoint). When proxy_config is enabled we also have to + # decode the base64 config first, so the command goes through `sh -c`; + # otherwise we keep the image's ENTRYPOINT and only override `command`. + gateway_uvicorn_args = "--host 0.0.0.0 --port 4000 --workers ${var.gateway_num_workers}" + backend_uvicorn_args = "--host 0.0.0.0 --port 4001" + + gateway_proxy_overrides = local.proxy_config_enabled ? { + entryPoint = ["sh", "-c"] + command = [ + "python -c \"import os, base64, pathlib; pathlib.Path(os.environ['CONFIG_FILE_PATH']).write_bytes(base64.b64decode(os.environ['LITELLM_PROXY_CONFIG_B64']))\" && exec uvicorn gateway.main:app ${local.gateway_uvicorn_args}" + ] + } : { + # Mirror the image's ENTRYPOINT so we can append --workers via command. + entryPoint = ["uvicorn", "gateway.main:app"] + command = split(" ", local.gateway_uvicorn_args) + } + + backend_proxy_overrides = local.proxy_config_enabled ? { + entryPoint = ["sh", "-c"] + command = [ + "python -c \"import os, base64, pathlib; pathlib.Path(os.environ['CONFIG_FILE_PATH']).write_bytes(base64.b64decode(os.environ['LITELLM_PROXY_CONFIG_B64']))\" && exec uvicorn backend.main:app ${local.backend_uvicorn_args}" + ] + } : {} +} + +# ---------- Gateway ---------- +resource "aws_ecs_task_definition" "gateway" { + family = "${local.name}-gateway" + network_mode = "awsvpc" + requires_compatibilities = ["FARGATE"] + cpu = var.gateway_cpu + memory = var.gateway_memory + execution_role_arn = aws_iam_role.task_execution.arn + task_role_arn = aws_iam_role.task.arn + + container_definitions = jsonencode([ + merge( + { + name = "gateway" + image = var.gateway_image + essential = true + + portMappings = [{ containerPort = 4000, protocol = "tcp" }] + environment = concat( + local.shared_env, + local.gateway_extra_env_list, + local.proxy_config_env, + ) + secrets = concat(local.shared_secrets, local.gateway_extra_secrets_list) + + # Container-level healthCheck intentionally omitted — the wolfi + # runtime image doesn't ship curl/wget. The ALB target group polls + # /health/readiness. + + logConfiguration = { + logDriver = "awslogs" + options = { + awslogs-group = aws_cloudwatch_log_group.gateway.name + awslogs-region = var.region + awslogs-stream-prefix = "gateway" + } + } + }, + local.gateway_proxy_overrides, + ) + ]) +} + +resource "aws_ecs_service" "gateway" { + name = "${local.name}-gateway" + cluster = aws_ecs_cluster.this.id + task_definition = aws_ecs_task_definition.gateway.arn + desired_count = var.gateway_desired_count + launch_type = "FARGATE" + + network_configuration { + subnets = aws_subnet.private[*].id + security_groups = [aws_security_group.tasks.id] + assign_public_ip = false + } + + load_balancer { + target_group_arn = aws_lb_target_group.gateway.arn + container_name = "gateway" + container_port = 4000 + } + + deployment_minimum_healthy_percent = 50 + deployment_maximum_percent = 200 + + # desired_count is owned by Application Auto Scaling once enabled (autoscaling.tf). + # Terraform sets the initial value from var.gateway_desired_count, then steps aside. + lifecycle { + ignore_changes = [desired_count] + } + + # Don't start until the schema migration has run. Otherwise the proxy + # boots, Prisma fails on the missing tables, and ECS thrashes the task. + depends_on = [ + aws_lb_listener.http, + aws_lb_listener.https, + terraform_data.migration, + ] +} + +# ---------- Backend ---------- +resource "aws_ecs_task_definition" "backend" { + family = "${local.name}-backend" + network_mode = "awsvpc" + requires_compatibilities = ["FARGATE"] + cpu = var.backend_cpu + memory = var.backend_memory + execution_role_arn = aws_iam_role.task_execution.arn + task_role_arn = aws_iam_role.task.arn + + container_definitions = jsonencode([ + merge( + { + name = "backend" + image = var.backend_image + essential = true + + portMappings = [{ containerPort = 4001, protocol = "tcp" }] + environment = concat( + local.shared_env, + local.backend_default_env, + local.backend_extra_env_list, + local.proxy_config_env, + ) + secrets = concat(local.shared_secrets, local.backend_managed_secrets, local.backend_extra_secrets_list) + + logConfiguration = { + logDriver = "awslogs" + options = { + awslogs-group = aws_cloudwatch_log_group.backend.name + awslogs-region = var.region + awslogs-stream-prefix = "backend" + } + } + }, + local.backend_proxy_overrides, + ) + ]) +} + +resource "aws_ecs_service" "backend" { + name = "${local.name}-backend" + cluster = aws_ecs_cluster.this.id + task_definition = aws_ecs_task_definition.backend.arn + desired_count = var.backend_desired_count + launch_type = "FARGATE" + + network_configuration { + subnets = aws_subnet.private[*].id + security_groups = [aws_security_group.tasks.id] + assign_public_ip = false + } + + load_balancer { + target_group_arn = aws_lb_target_group.backend.arn + container_name = "backend" + container_port = 4001 + } + + deployment_minimum_healthy_percent = 50 + deployment_maximum_percent = 200 + + lifecycle { + ignore_changes = [desired_count] + } + + depends_on = [ + aws_lb_listener.http, + aws_lb_listener.https, + terraform_data.migration, + ] +} + +# ---------- UI ---------- +# task_role is deliberately the unprivileged ui_task — the UI has no DB, +# S3, or Secrets Manager dependency, and inheriting the shared `task` +# role would expose every data-plane secret to a compromised UI +# container via the task metadata endpoint. +resource "aws_ecs_task_definition" "ui" { + family = "${local.name}-ui" + network_mode = "awsvpc" + requires_compatibilities = ["FARGATE"] + cpu = var.ui_cpu + memory = var.ui_memory + execution_role_arn = aws_iam_role.task_execution.arn + task_role_arn = aws_iam_role.ui_task.arn + + container_definitions = jsonencode([ + { + name = "ui" + image = var.ui_image + essential = true + portMappings = [{ containerPort = 3000, protocol = "tcp" }] + + logConfiguration = { + logDriver = "awslogs" + options = { + awslogs-group = aws_cloudwatch_log_group.ui.name + awslogs-region = var.region + awslogs-stream-prefix = "ui" + } + } + } + ]) +} + +resource "aws_ecs_service" "ui" { + name = "${local.name}-ui" + cluster = aws_ecs_cluster.this.id + task_definition = aws_ecs_task_definition.ui.arn + desired_count = var.ui_desired_count + launch_type = "FARGATE" + + network_configuration { + subnets = aws_subnet.private[*].id + security_groups = [aws_security_group.tasks.id] + assign_public_ip = false + } + + load_balancer { + target_group_arn = aws_lb_target_group.ui.arn + container_name = "ui" + container_port = 3000 + } + + deployment_minimum_healthy_percent = 50 + deployment_maximum_percent = 200 + + lifecycle { + ignore_changes = [desired_count] + } + + depends_on = [ + aws_lb_listener.http, + aws_lb_listener.https, + ] +} diff --git a/terraform/litellm/aws/iam.tf b/terraform/litellm/aws/iam.tf new file mode 100644 index 00000000000..504e0fe1d63 --- /dev/null +++ b/terraform/litellm/aws/iam.tf @@ -0,0 +1,114 @@ +# ECS task execution role — used by the agent to pull images, write logs, +# and resolve secrets at task start. +data "aws_iam_policy_document" "task_assume" { + statement { + actions = ["sts:AssumeRole"] + principals { + type = "Service" + identifiers = ["ecs-tasks.amazonaws.com"] + } + } +} + +resource "aws_iam_role" "task_execution" { + name = "${local.name}-task-execution" + assume_role_policy = data.aws_iam_policy_document.task_assume.json +} + +resource "aws_iam_role_policy_attachment" "task_execution" { + role = aws_iam_role.task_execution.name + policy_arn = "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy" +} + +# User-provided extra secrets may be passed as the bare secret ARN +# ("arn:aws:secretsmanager:...:secret:name-AbCdEf") or the JSON-key form +# ECS supports — fully spelled out as +# "arn:...:secret:name-AbCdEf:jsonKey:versionStage:versionId" with any of +# the trailing parts blank ("...:jsonKey::" being the most common). The IAM +# policy resource must always be the bare ARN, so we split on ':' and keep +# the first 7 components — robust to any combination of empty/non-empty +# version-stage/version-id suffixes that a regex would otherwise have to +# enumerate. +locals { + extra_secret_value_froms = concat( + values(var.gateway_extra_secrets), + values(var.backend_extra_secrets), + ) + + extra_secret_arns = distinct([ + for v in local.extra_secret_value_froms : + join(":", slice(split(":", v), 0, 7)) + ]) +} + +# Execution role can read the managed secrets + any caller-provided extras +# so ECS can resolve them when launching tasks. Image pulls inherit the +# managed AmazonECSTaskExecutionRolePolicy. +data "aws_iam_policy_document" "secrets_access" { + statement { + actions = ["secretsmanager:GetSecretValue"] + resources = concat( + [aws_secretsmanager_secret.master_key.arn], + aws_secretsmanager_secret.license[*].arn, + aws_secretsmanager_secret.ui_password[*].arn, + local.extra_secret_arns, + ) + } +} + +resource "aws_iam_policy" "secrets_access" { + name = "${local.name}-secrets-access" + policy = data.aws_iam_policy_document.secrets_access.json +} + +resource "aws_iam_role_policy_attachment" "task_execution_secrets" { + role = aws_iam_role.task_execution.name + policy_arn = aws_iam_policy.secrets_access.arn +} + +# ---------- Task role ---------- +# +# Assumed by the running container. Gets `rds-db:connect` so the proxy can +# mint IAM-signed Postgres tokens for the app user. Layer additional +# policies here (e.g. Bedrock invoke, S3 read) when the proxy needs them. + +resource "aws_iam_role" "task" { + name = "${local.name}-task" + assume_role_policy = data.aws_iam_policy_document.task_assume.json +} + +data "aws_caller_identity" "current" {} + +data "aws_iam_policy_document" "rds_iam_connect" { + statement { + actions = ["rds-db:connect"] + resources = [ + "arn:aws:rds-db:${var.region}:${data.aws_caller_identity.current.account_id}:dbuser:${aws_rds_cluster.this.cluster_resource_id}/${var.db_username}", + ] + } +} + +resource "aws_iam_policy" "rds_iam_connect" { + name = "${local.name}-rds-iam-connect" + policy = data.aws_iam_policy_document.rds_iam_connect.json +} + +resource "aws_iam_role_policy_attachment" "task_rds_iam_connect" { + role = aws_iam_role.task.name + policy_arn = aws_iam_policy.rds_iam_connect.arn +} + +# ---------- UI task role ---------- +# +# The UI is static nginx with no DB, S3, or Secrets Manager dependencies, +# so it deliberately does NOT inherit the shared `task` role's +# rds-db:connect / S3 / extra-secrets policies. Empty policy set — the +# only thing exposed via the task metadata endpoint is an identity that +# can't reach any LiteLLM data-plane resource. The shared +# `task_execution` role still pulls the image and writes logs (its +# credentials aren't surfaced to the container). + +resource "aws_iam_role" "ui_task" { + name = "${local.name}-ui-task" + assume_role_policy = data.aws_iam_policy_document.task_assume.json +} diff --git a/terraform/litellm/aws/locals.tf b/terraform/litellm/aws/locals.tf new file mode 100644 index 00000000000..85c3b6eaaad --- /dev/null +++ b/terraform/litellm/aws/locals.tf @@ -0,0 +1,75 @@ +# Gateway path prefixes — mirrored verbatim from gateway/routes/allowlist.py +# and the helm ingress in helm/litellm/templates/ingress.yaml. Anything not in +# this list and not a UI asset path falls through to the backend (management +# API) catch-all rule on the ALB. +# +# ALB listener rules cap path-pattern conditions at 5 values per rule, so we +# chunk this list and emit one rule per chunk. +locals { + # Every resource the stack creates is named `-litellm-` + # (or that with a per-resource suffix). Computed once here so the rest of + # the stack can reference local.name. + name = "${var.tenant}-litellm-${var.env}" + + gateway_path_prefixes = [ + "/v1/chat/*", "/chat/*", + "/v1/completions*", "/completions*", + "/v1/embeddings*", "/embeddings*", + "/v1/moderations*", "/moderations*", + "/v1/audio/*", "/audio/*", + "/v1/images/*", "/images/*", + "/v1/files*", "/files*", + "/v1/batches*", "/batches*", + "/v1/fine_tuning/*", "/fine_tuning/*", + "/v1/fine-tuning/*", "/fine-tuning/*", + "/v1/responses*", "/responses*", + "/v1/threads*", "/threads*", + "/v1/assistants*", "/assistants*", + "/v1/vector_stores*", "/vector_stores*", + "/v1/indexes*", + "/v1/models*", "/models*", + "/openai/*", "/engines/*", + "/v1/messages*", "/messages*", + "/v1/skills/*", "/v1/a2a/*", + "/v1/rerank*", "/v2/rerank*", "/rerank*", + "/v1/ocr*", "/ocr*", + "/v1/rag/*", "/rag/*", + "/v1/video/*", "/v1/videos/*", "/video/*", "/videos/*", + "/v1/search*", "/search*", + "/v1/containers/*", "/containers/*", + "/v1/evals/*", + "/v1/memory/*", + "/queue/chat/*", + "/v1beta/*", + "/interactions/*", + "/anthropic/*", "/azure/*", "/azure_ai/*", "/aws/*", "/bedrock/*", + "/cohere/*", "/gemini/*", "/google/*", + "/vertex_ai/*", "/vertex-ai/*", + "/assemblyai/*", "/eu.assemblyai/*", + "/langfuse/*", "/vllm/*", + "/mistral/*", "/groq/*", "/voyage/*", "/cursor/*", "/milvus/*", + "/openai_passthrough/*", + "/toolset/*", + "/v1/realtime*", "/realtime*", + "/health*", "/metrics", "/test*", + ] + + # Static UI asset prefixes — handled by the UI service, not the backend + # catch-all. /favicon.ico and / are also UI but added as exact rules. + ui_path_prefixes = [ + "/litellm-asset-prefix/*", + "/_next/*", + "/assets/*", + "/ui/*", + ] + + ui_exact_paths = [ + "/", + "/favicon.ico", + "/ui", + ] + + # ALB rules accept ≤ 5 path-pattern values per condition. Chunk the prefix + # list so each chunk becomes one rule. + gateway_path_chunks = chunklist(local.gateway_path_prefixes, 5) +} diff --git a/terraform/litellm/aws/migrations.tf b/terraform/litellm/aws/migrations.tf new file mode 100644 index 00000000000..fc4e2ce0cab --- /dev/null +++ b/terraform/litellm/aws/migrations.tf @@ -0,0 +1,45 @@ +# Task definition for the dedicated litellm-migrations image. Mirrors the +# pre-install/pre-upgrade Helm hook in helm/litellm/templates/migrations-job.yaml. +# +# The image (built from migrations/Dockerfile) ships with +# `ENTRYPOINT ["python3", "/app/run.py"]`. run.py assembles DATABASE_URL from +# the discrete DATABASE_* env vars (IAM auth here) via DatabaseURLSettings, +# then calls ProxyExtrasDBManager.setup_database() — i.e. `prisma migrate +# deploy` with the v2 resolver and P3005/P3009/P3018 recovery. It does NOT +# read CONFIG_FILE_PATH, the master key, or DISABLE_SCHEMA_UPDATE, so we +# don't pass them. +# +# Invoked automatically by `terraform_data.migration` in bootstrap.tf during +# every apply (after the IAM-authed user has been created). The +# `migration_run_command` output is preserved for break-glass manual re-runs. +resource "aws_ecs_task_definition" "migrations" { + family = "${local.name}-migrations" + network_mode = "awsvpc" + requires_compatibilities = ["FARGATE"] + # Prisma's Node + Rust engine plus the v2 migration resolver routinely + # peaks well above 1 GiB while applying the schema. 4 GiB gives plenty + # of headroom; CPU stays low because `prisma migrate deploy` is + # single-threaded. + cpu = 512 + memory = 4096 + execution_role_arn = aws_iam_role.task_execution.arn + task_role_arn = aws_iam_role.task.arn + + container_definitions = jsonencode([{ + name = "migrations" + image = var.migrations_image + essential = true + + # No entryPoint/command override — the image's ENTRYPOINT runs run.py. + environment = local.shared_env + + logConfiguration = { + logDriver = "awslogs" + options = { + awslogs-group = aws_cloudwatch_log_group.migrations.name + awslogs-region = var.region + awslogs-stream-prefix = "migrations" + } + } + }]) +} diff --git a/terraform/litellm/aws/network.tf b/terraform/litellm/aws/network.tf new file mode 100644 index 00000000000..d5ed49c1b8a --- /dev/null +++ b/terraform/litellm/aws/network.tf @@ -0,0 +1,172 @@ +data "aws_availability_zones" "available" { + state = "available" +} + +resource "aws_vpc" "this" { + cidr_block = var.vpc_cidr + enable_dns_hostnames = true + enable_dns_support = true + + tags = { Name = local.name } +} + +resource "aws_internet_gateway" "this" { + vpc_id = aws_vpc.this.id + tags = { Name = local.name } +} + +# Public subnets (ALB + NAT). One per AZ. +resource "aws_subnet" "public" { + count = length(var.azs) + vpc_id = aws_vpc.this.id + cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index) + availability_zone = var.azs[count.index] + map_public_ip_on_launch = true + + tags = { Name = "${local.name}-public-${var.azs[count.index]}" } +} + +# Private subnets (ECS tasks, RDS, ElastiCache). One per AZ, separate from +# public range. +resource "aws_subnet" "private" { + count = length(var.azs) + vpc_id = aws_vpc.this.id + cidr_block = cidrsubnet(var.vpc_cidr, 8, count.index + 10) + availability_zone = var.azs[count.index] + + tags = { Name = "${local.name}-private-${var.azs[count.index]}" } +} + +resource "aws_eip" "nat" { + domain = "vpc" + tags = { Name = "${local.name}-nat" } + + depends_on = [aws_internet_gateway.this] +} + +# Single NAT gateway in the first public subnet. For HA, replicate per AZ — +# adds ~$30/mo per gateway, so off by default for a baseline deployment. +resource "aws_nat_gateway" "this" { + allocation_id = aws_eip.nat.id + subnet_id = aws_subnet.public[0].id + + tags = { Name = local.name } + + depends_on = [aws_internet_gateway.this] +} + +resource "aws_route_table" "public" { + vpc_id = aws_vpc.this.id + + route { + cidr_block = "0.0.0.0/0" + gateway_id = aws_internet_gateway.this.id + } + + tags = { Name = "${local.name}-public" } +} + +resource "aws_route_table_association" "public" { + count = length(var.azs) + subnet_id = aws_subnet.public[count.index].id + route_table_id = aws_route_table.public.id +} + +resource "aws_route_table" "private" { + vpc_id = aws_vpc.this.id + + route { + cidr_block = "0.0.0.0/0" + nat_gateway_id = aws_nat_gateway.this.id + } + + tags = { Name = "${local.name}-private" } +} + +resource "aws_route_table_association" "private" { + count = length(var.azs) + subnet_id = aws_subnet.private[count.index].id + route_table_id = aws_route_table.private.id +} + +# ---------- Security groups ---------- + +resource "aws_security_group" "alb" { + name = "${local.name}-alb" + description = "Inbound HTTP/HTTPS to the LiteLLM ALB." + vpc_id = aws_vpc.this.id + + ingress { + description = "HTTP from anywhere" + from_port = 80 + to_port = 80 + protocol = "tcp" + cidr_blocks = ["0.0.0.0/0"] + } + + ingress { + description = "HTTPS from anywhere" + from_port = 443 + to_port = 443 + protocol = "tcp" + cidr_blocks = ["0.0.0.0/0"] + } + + egress { + description = "All egress" + from_port = 0 + to_port = 0 + protocol = "-1" + cidr_blocks = ["0.0.0.0/0"] + } +} + +resource "aws_security_group" "tasks" { + name = "${local.name}-tasks" + description = "ECS tasks (gateway/backend/ui)." + vpc_id = aws_vpc.this.id + + ingress { + description = "ALB to tasks" + from_port = 0 + to_port = 65535 + protocol = "tcp" + security_groups = [aws_security_group.alb.id] + } + + egress { + description = "All egress (LLM providers, RDS, Redis)" + from_port = 0 + to_port = 0 + protocol = "-1" + cidr_blocks = ["0.0.0.0/0"] + } +} + +resource "aws_security_group" "rds" { + name = "${local.name}-rds" + description = "RDS Postgres - tasks only." + vpc_id = aws_vpc.this.id + + ingress { + description = "Postgres from ECS tasks" + from_port = 5432 + to_port = 5432 + protocol = "tcp" + security_groups = [aws_security_group.tasks.id] + } +} + +resource "aws_security_group" "redis" { + name = "${local.name}-redis" + description = "ElastiCache Redis - tasks only." + vpc_id = aws_vpc.this.id + + ingress { + description = "Redis from ECS tasks" + from_port = 6379 + to_port = 6379 + protocol = "tcp" + security_groups = [aws_security_group.tasks.id] + } +} diff --git a/terraform/litellm/aws/outputs.tf b/terraform/litellm/aws/outputs.tf new file mode 100644 index 00000000000..9c36b1a7e0f --- /dev/null +++ b/terraform/litellm/aws/outputs.tf @@ -0,0 +1,72 @@ +output "alb_dns_name" { + description = "Public DNS name of the LiteLLM ALB." + value = aws_lb.this.dns_name +} + +output "alb_url" { + description = "Proxy URL. Switches scheme based on whether acm_certificate_arn is set; the underlying DNS name is the ALB. The dashboard is served at /, the API at /v1/*." + value = "${local.tls_enabled ? "https" : "http"}://${aws_lb.this.dns_name}" +} + +output "ecs_cluster" { + description = "ECS cluster name." + value = aws_ecs_cluster.this.name +} + +output "aurora_writer_endpoint" { + description = "Aurora writer endpoint (cluster endpoint). Used by gateway/backend as DATABASE_HOST." + value = aws_rds_cluster.this.endpoint +} + +output "aurora_reader_endpoint" { + description = "Aurora reader endpoint. Used by gateway/backend as DATABASE_HOST_READ_REPLICA." + value = aws_rds_cluster.this.reader_endpoint +} + +output "redis_endpoint" { + description = "ElastiCache Redis primary endpoint (TLS, transit_encryption_enabled = true)." + value = "${aws_elasticache_replication_group.this.primary_endpoint_address}:${aws_elasticache_replication_group.this.port}" +} + +output "s3_bucket" { + description = "S3 bucket name. Exposed to gateway + backend as S3_BUCKET_NAME / S3_REGION_NAME. Reference from proxy_config via `os.environ/S3_BUCKET_NAME`." + value = aws_s3_bucket.this.bucket +} + +output "master_key_secret_arn" { + description = "Secrets Manager ARN holding LITELLM_MASTER_KEY. Fetch with `aws secretsmanager get-secret-value --secret-id `." + value = aws_secretsmanager_secret.master_key.arn +} + +output "db_master_password_secret_arn" { + description = "Secrets Manager ARN holding the Aurora master credentials (bootstrap-only). Used to create the IAM-authed application user." + value = aws_secretsmanager_secret.db_master_password.arn +} + +# Pre-baked SQL to run once as the master user, creating the IAM-authed +# application user that gateway/backend/migration tasks will authenticate as. +output "db_bootstrap_sql" { + description = "Run this once as the master DB user (after the first apply) to create the IAM-authed app user." + value = <<-SQL + CREATE USER ${var.db_username}; + GRANT rds_iam TO ${var.db_username}; + GRANT ALL PRIVILEGES ON DATABASE ${var.db_name} TO ${var.db_username}; + GRANT ALL ON SCHEMA public TO ${var.db_username}; + ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT ALL ON TABLES TO ${var.db_username}; + ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT ALL ON SEQUENCES TO ${var.db_username}; + SQL +} + +# Pre-baked command for running the one-off migration task. ECS run-task +# needs the subnet + SG IDs at call time, so we render the full command. +output "migration_run_command" { + description = "Shell command that runs the one-off prisma migration task against Aurora. Run this once, after the bootstrap SQL above, before sending traffic." + value = format( + "aws ecs run-task --cluster %s --launch-type FARGATE --task-definition %s --network-configuration 'awsvpcConfiguration={subnets=[%s],securityGroups=[%s],assignPublicIp=DISABLED}' --region %s", + aws_ecs_cluster.this.name, + aws_ecs_task_definition.migrations.arn, + join(",", aws_subnet.private[*].id), + aws_security_group.tasks.id, + var.region, + ) +} diff --git a/terraform/litellm/aws/providers.tf b/terraform/litellm/aws/providers.tf new file mode 100644 index 00000000000..5e7d506c23f --- /dev/null +++ b/terraform/litellm/aws/providers.tf @@ -0,0 +1,13 @@ +provider "aws" { + region = var.region + + default_tags { + tags = merge( + { + "litellm:stack" = local.name + "managed-by" = "terraform" + }, + var.tags, + ) + } +} diff --git a/terraform/litellm/aws/rds.tf b/terraform/litellm/aws/rds.tf new file mode 100644 index 00000000000..8e3b70a8d62 --- /dev/null +++ b/terraform/litellm/aws/rds.tf @@ -0,0 +1,85 @@ +# Aurora Postgres cluster with one writer + one reader instance, IAM +# database authentication enabled. +# +# Important: enabling IAM auth on the cluster does not by itself grant any +# Postgres user the ability to log in with an IAM token. After the first +# apply, connect as the master user (password lives in Secrets Manager — +# see `master_user_secret_arn` in outputs) and run, once: +# +# CREATE USER {var.db_username}; +# GRANT rds_iam TO {var.db_username}; +# GRANT ALL PRIVILEGES ON DATABASE {var.db_name} TO {var.db_username}; +# GRANT ALL ON SCHEMA public TO {var.db_username}; +# +# After that, the gateway/backend/migration tasks (which authenticate as +# `{var.db_username}` via IAM-signed tokens) can connect. The master user +# itself is a superuser and Postgres refuses to grant `rds_iam` to +# superusers — keep it for break-glass only. + +resource "aws_db_subnet_group" "this" { + name = "${local.name}-db" + subnet_ids = aws_subnet.private[*].id +} + +resource "aws_rds_cluster_parameter_group" "this" { + name = "${local.name}-cluster-pg" + family = "aurora-postgresql${split(".", var.db_engine_version)[0]}" + description = "LiteLLM Aurora Postgres cluster parameters." +} + +resource "aws_rds_cluster" "this" { + cluster_identifier = local.name + engine = "aurora-postgresql" + engine_mode = "provisioned" + engine_version = var.db_engine_version + database_name = var.db_name + master_username = var.db_master_username + master_password = random_password.db_master_password.result + db_subnet_group_name = aws_db_subnet_group.this.name + vpc_security_group_ids = [aws_security_group.rds.id] + db_cluster_parameter_group_name = aws_rds_cluster_parameter_group.this.name + + iam_database_authentication_enabled = true + storage_encrypted = true + apply_immediately = true + + # Final-snapshot guard. With the safe default (skip_final_snapshot = false), + # `terraform destroy` takes a snapshot named `-final-` + # before dropping the cluster. The short SHA disambiguates repeated + # destroy/recreate cycles so each snapshot has a unique name. + skip_final_snapshot = var.skip_final_snapshot + final_snapshot_identifier = var.skip_final_snapshot ? null : "${local.name}-final-${substr(md5(local.name), 0, 8)}" + + backup_retention_period = 7 + preferred_backup_window = "07:00-09:00" +} + +resource "aws_rds_cluster_instance" "writer" { + identifier = "${local.name}-writer" + cluster_identifier = aws_rds_cluster.this.id + instance_class = var.db_instance_class + engine = aws_rds_cluster.this.engine + engine_version = aws_rds_cluster.this.engine_version + + publicly_accessible = false + performance_insights_enabled = true + + # Promotion tier 0 — first in line during failover, so this instance stays + # the writer unless it goes unhealthy. + promotion_tier = 0 +} + +resource "aws_rds_cluster_instance" "reader" { + identifier = "${local.name}-reader" + cluster_identifier = aws_rds_cluster.this.id + instance_class = var.db_instance_class + engine = aws_rds_cluster.this.engine + engine_version = aws_rds_cluster.this.engine_version + + publicly_accessible = false + performance_insights_enabled = true + + # Higher promotion tier — won't be picked as writer during a failover + # unless the writer instance itself is gone. + promotion_tier = 15 +} diff --git a/terraform/litellm/aws/redis.tf b/terraform/litellm/aws/redis.tf new file mode 100644 index 00000000000..2a6fab2d89f --- /dev/null +++ b/terraform/litellm/aws/redis.tf @@ -0,0 +1,33 @@ +resource "aws_elasticache_subnet_group" "this" { + name = "${local.name}-redis" + subnet_ids = aws_subnet.private[*].id +} + +# Replication group (not aws_elasticache_cluster, which is the +# Memcached / single-node Redis resource and can't be upgraded in-place +# to HA). With redis_num_replicas >= 1 we get automatic_failover_enabled +# + multi_az_enabled; at_rest_encryption_enabled and +# transit_encryption_enabled are on unconditionally so Redis traffic is +# TLS-protected — the proxy connects via the rediss:// scheme thanks to +# REDIS_SSL=true in the shared task env (see ecs.tf). +resource "aws_elasticache_replication_group" "this" { + replication_group_id = "${local.name}-redis" + description = "LiteLLM ElastiCache Redis" + + engine = "redis" + engine_version = "7.1" + node_type = var.redis_node_type + num_cache_clusters = 1 + var.redis_num_replicas + parameter_group_name = "default.redis7" + port = 6379 + + subnet_group_name = aws_elasticache_subnet_group.this.name + security_group_ids = [aws_security_group.redis.id] + + automatic_failover_enabled = var.redis_num_replicas >= 1 + multi_az_enabled = var.redis_num_replicas >= 1 + at_rest_encryption_enabled = true + transit_encryption_enabled = true + + apply_immediately = true +} diff --git a/terraform/litellm/aws/s3.tf b/terraform/litellm/aws/s3.tf new file mode 100644 index 00000000000..375bc73bb71 --- /dev/null +++ b/terraform/litellm/aws/s3.tf @@ -0,0 +1,80 @@ +# General-purpose S3 bucket for the proxy. LiteLLM uses S3 for: +# - Cache backend (cache_params.s3_bucket_name in proxy_config) +# - Request log archival (S3_REQUEST_LOGS_BUCKET_NAME) +# - /v1/files endpoint passthrough storage +# +# The bucket name + region are exposed to gateway + backend as S3_BUCKET_NAME +# / S3_REGION_NAME so proxy_config can reference them via +# `os.environ/S3_BUCKET_NAME`. The task role is scoped to this bucket only. + +resource "random_id" "s3_suffix" { + byte_length = 4 +} + +resource "aws_s3_bucket" "this" { + bucket = "${local.name}-${random_id.s3_suffix.hex}" + + # Default false → `terraform destroy` refuses on a non-empty bucket so + # cached responses, archived request logs, and /v1/files storage stay put. + # Flip to true only for ephemeral / CI stacks (`var.s3_force_destroy`). + force_destroy = var.s3_force_destroy +} + +resource "aws_s3_bucket_versioning" "this" { + bucket = aws_s3_bucket.this.id + versioning_configuration { + status = "Enabled" + } +} + +resource "aws_s3_bucket_server_side_encryption_configuration" "this" { + bucket = aws_s3_bucket.this.id + + rule { + apply_server_side_encryption_by_default { + sse_algorithm = "AES256" + } + } +} + +resource "aws_s3_bucket_public_access_block" "this" { + bucket = aws_s3_bucket.this.id + + block_public_acls = true + block_public_policy = true + ignore_public_acls = true + restrict_public_buckets = true +} + +# Task role gains object-level read/write on this bucket. Bucket-level perms +# (list/location) are also scoped to this bucket only. +data "aws_iam_policy_document" "s3_access" { + statement { + actions = [ + "s3:ListBucket", + "s3:GetBucketLocation", + ] + resources = [aws_s3_bucket.this.arn] + } + + statement { + actions = [ + "s3:GetObject", + "s3:PutObject", + "s3:DeleteObject", + "s3:AbortMultipartUpload", + "s3:ListMultipartUploadParts", + ] + resources = ["${aws_s3_bucket.this.arn}/*"] + } +} + +resource "aws_iam_policy" "s3_access" { + name = "${local.name}-s3-access" + policy = data.aws_iam_policy_document.s3_access.json +} + +resource "aws_iam_role_policy_attachment" "task_s3_access" { + role = aws_iam_role.task.name + policy_arn = aws_iam_policy.s3_access.arn +} diff --git a/terraform/litellm/aws/secrets.tf b/terraform/litellm/aws/secrets.tf new file mode 100644 index 00000000000..dd13fdc1239 --- /dev/null +++ b/terraform/litellm/aws/secrets.tf @@ -0,0 +1,86 @@ +resource "random_password" "master_key" { + length = 48 + special = false + min_lower = 4 + min_upper = 4 + min_numeric = 4 +} + +# Master DB password — used once to bootstrap the IAM-authed application +# user (see rds.tf header). Runtime services authenticate via IAM tokens +# and never read this secret. +resource "random_password" "db_master_password" { + length = 32 + special = false + min_lower = 4 + min_upper = 4 + min_numeric = 4 +} + +# LITELLM_MASTER_KEY — must begin with `sk-` per the proxy's validator. +resource "aws_secretsmanager_secret" "master_key" { + name = "${local.name}-master-key" + description = "LITELLM_MASTER_KEY for gateway + backend." + recovery_window_in_days = 0 +} + +resource "aws_secretsmanager_secret_version" "master_key" { + secret_id = aws_secretsmanager_secret.master_key.id + # When the operator passes litellm_master_key, use it verbatim. Otherwise + # fall back to the auto-generated `sk-…` value (trial / OSS path). + secret_string = coalesce(var.litellm_master_key, "sk-${random_password.master_key.result}") +} + +# LITELLM_LICENSE — only created when the operator supplies one. The +# task-execution role gets GetSecretValue via iam.tf, and gateway + backend +# pick the env var up through shared_secrets in ecs.tf. +resource "aws_secretsmanager_secret" "license" { + count = var.litellm_license == "" ? 0 : 1 + + name = "${local.name}-license" + description = "LITELLM_LICENSE for gateway + backend." + recovery_window_in_days = 0 +} + +resource "aws_secretsmanager_secret_version" "license" { + count = var.litellm_license == "" ? 0 : 1 + + secret_id = aws_secretsmanager_secret.license[0].id + secret_string = var.litellm_license +} + +# UI_PASSWORD — backend-only. Same pattern as license: only created when +# the operator supplies one. The execution role gets GetSecretValue via +# iam.tf, and the backend task picks the env var up through +# backend_managed_secrets in ecs.tf. +resource "aws_secretsmanager_secret" "ui_password" { + count = var.ui_password == "" ? 0 : 1 + + name = "${local.name}-ui-password" + description = "UI_PASSWORD for the backend (UI admin login)." + recovery_window_in_days = 0 +} + +resource "aws_secretsmanager_secret_version" "ui_password" { + count = var.ui_password == "" ? 0 : 1 + + secret_id = aws_secretsmanager_secret.ui_password[0].id + secret_string = var.ui_password +} + +resource "aws_secretsmanager_secret" "db_master_password" { + name = "${local.name}-db-master-password" + description = "Aurora master-user password - bootstrap only. Runtime auth is IAM-token." + recovery_window_in_days = 0 +} + +resource "aws_secretsmanager_secret_version" "db_master_password" { + secret_id = aws_secretsmanager_secret.db_master_password.id + secret_string = jsonencode({ + username = var.db_master_username + password = random_password.db_master_password.result + host = aws_rds_cluster.this.endpoint + port = aws_rds_cluster.this.port + dbname = var.db_name + }) +} diff --git a/terraform/litellm/aws/terraform.tfvars.example b/terraform/litellm/aws/terraform.tfvars.example new file mode 100644 index 00000000000..2be573949ef --- /dev/null +++ b/terraform/litellm/aws/terraform.tfvars.example @@ -0,0 +1,88 @@ +region = "us-west-2" +azs = ["us-west-2a", "us-west-2b"] + +# Resource naming: every AWS resource the stack creates is named +# `${tenant}-litellm-${env}` (or that plus a per-resource suffix). E.g. +# tenant="acme" + env="stage" → ALB `acme-litellm-stage`, ECS service +# `acme-litellm-stage-gateway`, etc. +tenant = "acme" +env = "stage" + +# Tenant-supplied secrets. Prefer TF_VAR_litellm_master_key / +# TF_VAR_litellm_license / TF_VAR_ui_password env vars so the values don't +# end up in a committed tfvars file. All three are optional — when +# omitted the stack auto-generates a master key, runs without a license, +# and falls back to LITELLM_MASTER_KEY for UI login. +# litellm_master_key = "sk-..." +# litellm_license = "lic-..." +# ui_password = "..." + +# TLS: provide an ACM cert for production. Without one, plan fails unless +# allow_plaintext_alb = true is set explicitly (trial/dev only). +# acm_certificate_arn = "arn:aws:acm:us-west-2:111122223333:certificate/..." +# allow_plaintext_alb = true + +# Storage retention: false (default) makes `terraform destroy` refuse on a +# non-empty bucket. Flip to true only for ephemeral / CI stacks. +# s3_force_destroy = false + +# Component images. Defaults pin all four to the same GHCR release tag — +# bump them together when bumping LiteLLM. Override here to pull from a +# private registry or to mix-and-match versions. +# gateway_image = "ghcr.io/berriai/litellm-gateway:1.86.0-dev" +# backend_image = "ghcr.io/berriai/litellm-backend:1.86.0-dev" +# ui_image = "ghcr.io/berriai/litellm-ui:1.86.0-dev" +# migrations_image = "ghcr.io/berriai/litellm-migrations:1.86.0-dev" + +# Per-task sizing for the gateway. Defaults are 1 vCPU / 4 GiB / 1 worker. +# uvicorn rule of thumb for CPU-bound work is (2 * vCPU) + 1 workers. +# gateway_cpu = 1024 # 1024 = 1 vCPU +# gateway_memory = 4096 # MiB +# gateway_num_workers = 1 + +# ---------- proxy_config (mirrors helm gateway.config.proxy_config) ---------- +# proxy_config = { +# model_list = [ +# { +# model_name = "gpt-4o" +# litellm_params = { +# model = "openai/gpt-4o" +# api_key = "os.environ/OPENAI_API_KEY" +# } +# }, +# { +# model_name = "claude-sonnet-4-6" +# litellm_params = { +# model = "anthropic/claude-sonnet-4-6" +# api_key = "os.environ/ANTHROPIC_API_KEY" +# } +# }, +# ] +# general_settings = { +# master_key = "os.environ/LITELLM_MASTER_KEY" +# database_url = "os.environ/DATABASE_URL" +# } +# } + +# ---------- Extra env / secrets ---------- +# Plain-text env vars (non-sensitive). Land directly in the ECS task def. +# gateway_extra_env = { +# LANGFUSE_HOST = "https://us.cloud.langfuse.com" +# } + +# Backend env vars commonly tuned in prod: SSO redirect, docs branding, +# UI admin username. UI_PASSWORD is its own first-class var (see top). +# backend_extra_env = { +# AUTO_REDIRECT_UI_LOGIN_TO_SSO = "true" +# DOCS_TITLE = "Acme LiteLLM" +# UI_USERNAME = "admin" +# } + +# Provider API keys, sourced from existing Secrets Manager entries. The +# execution role auto-gains GetSecretValue on each ARN listed here. The +# values you reference above as `os.environ/OPENAI_API_KEY` must appear +# here. Same shape works for backend_extra_secrets. +# gateway_extra_secrets = { +# OPENAI_API_KEY = "arn:aws:secretsmanager:us-west-2:111122223333:secret:openai-api-key-AbCdEf" +# ANTHROPIC_API_KEY = "arn:aws:secretsmanager:us-west-2:111122223333:secret:anthropic-api-key-GhIjKl" +# } diff --git a/terraform/litellm/aws/variables.tf b/terraform/litellm/aws/variables.tf new file mode 100644 index 00000000000..946cd7ebbf3 --- /dev/null +++ b/terraform/litellm/aws/variables.tf @@ -0,0 +1,458 @@ +variable "region" { + description = "AWS region to deploy into." + type = string +} + +variable "tenant" { + description = "Tenant slug — used as the prefix for every AWS resource the stack creates. Combined with var.env to form `-litellm-` (e.g. `acme-litellm-stage`)." + type = string + + validation { + condition = can(regex("^[a-z][a-z0-9-]{0,20}$", var.tenant)) + error_message = "tenant must be 1-21 chars, lower-kebab-case, starting with a letter." + } +} + +variable "env" { + description = "Environment suffix appended to every resource name (e.g. `stage`, `prod`, `dev`)." + type = string + + validation { + condition = can(regex("^[a-z][a-z0-9-]{0,8}$", var.env)) + error_message = "env must be 1-9 chars, lower-kebab-case, starting with a letter." + } +} + +variable "tags" { + description = "Additional tags merged into the provider default_tags." + type = map(string) + default = {} +} + +# ---------- Tenant-supplied secrets ---------- +# +# Both default to "" so the stack stays usable for trial / OSS deploys. +# Set via TF_VAR_litellm_master_key / TF_VAR_litellm_license to keep the +# values out of state files committed to a VCS. + +variable "litellm_master_key" { + description = <<-EOT + Pre-existing LITELLM_MASTER_KEY (must begin with `sk-`). When set, this + value is written to the master-key Secrets Manager entry. When empty, + the stack auto-generates a random `sk-…` key (preserving today's + trial-deploy behavior). + EOT + type = string + default = "" + sensitive = true +} + +variable "litellm_license" { + description = <<-EOT + LiteLLM enterprise license string. When set, the stack creates a + `-litellm--license` Secrets Manager entry, grants the + task-execution role GetSecretValue on it, and exposes its value to + gateway + backend as `LITELLM_LICENSE`. Leave empty for OSS-only deploys. + EOT + type = string + default = "" + sensitive = true +} + +variable "ui_password" { + description = <<-EOT + UI admin password. When set, the stack creates a + `-litellm--ui-password` Secrets Manager entry, grants the + task-execution role GetSecretValue on it, and exposes its value to the + backend as `UI_PASSWORD`. Pair with `backend_extra_env.UI_USERNAME` to + set the matching username. Leave empty to skip — the proxy then falls + back to the LITELLM_MASTER_KEY for UI login. + EOT + type = string + default = "" + sensitive = true +} + +# ---------- Networking ---------- + +variable "vpc_cidr" { + description = "CIDR block for the VPC." + type = string + default = "10.40.0.0/16" +} + +variable "azs" { + description = "Availability zones to spread subnets across. At least 2 required for RDS and ALB." + type = list(string) + validation { + condition = length(var.azs) >= 2 + error_message = "Provide at least 2 availability zones." + } +} + +# ---------- Component images ---------- +# +# Defaults pin the four componentized images at the same release tag on +# GHCR. Override on a per-component basis in tfvars when bumping; bump them +# together when bumping the LiteLLM release. + +variable "gateway_image" { + description = "Container image for the gateway (data plane, port 4000). Tag must match a tag actually published to GHCR — the split images use the `v`-prefixed semver convention." + type = string + default = "ghcr.io/berriai/litellm-gateway:v1.86.0-dev" +} + +variable "backend_image" { + description = "Container image for the backend (management API, port 4001)." + type = string + default = "ghcr.io/berriai/litellm-backend:v1.86.0-dev" +} + +variable "ui_image" { + description = "Container image for the UI (nginx static export, port 3000)." + type = string + default = "ghcr.io/berriai/litellm-ui:v1.86.0-dev" +} + +variable "migrations_image" { + description = <<-EOT + Container image for the one-off prisma migration task. Built from + `migrations/Dockerfile` — slim image whose ENTRYPOINT runs + `python3 /app/run.py` (assembles DATABASE_URL from DATABASE_* env vars + via DatabaseURLSettings, then runs `prisma migrate deploy`). Should track + the same release tag as gateway/backend/ui. + EOT + type = string + default = "ghcr.io/berriai/litellm-migrations:v1.86.0-dev" +} + +# ---------- Service sizing ---------- + +variable "gateway_cpu" { + description = "Fargate CPU units for the gateway task (1024 = 1 vCPU)." + type = number + default = 1024 +} + +variable "gateway_memory" { + description = "Fargate memory (MiB) for the gateway task." + type = number + default = 4096 +} + +variable "gateway_desired_count" { + description = "Desired number of gateway tasks." + type = number + default = 2 +} + +variable "gateway_num_workers" { + description = "uvicorn worker processes per gateway task (passed as --workers). Size relative to gateway_cpu — uvicorn recommends ~(2 × vCPU) + 1 for CPU-bound work." + type = number + default = 1 + + validation { + condition = var.gateway_num_workers >= 1 + error_message = "gateway_num_workers must be >= 1." + } +} + +variable "backend_cpu" { + description = "Fargate CPU units for the backend task (1024 = 1 vCPU)." + type = number + default = 1024 +} + +variable "backend_memory" { + description = "Fargate memory (MiB) for the backend task. The proxy_server import chain alone needs >1 GiB; 4 GiB matches gateway." + type = number + default = 4096 +} + +variable "backend_desired_count" { + description = "Desired number of backend tasks." + type = number + default = 1 +} + +variable "ui_cpu" { + description = "Fargate CPU units for the UI task." + type = number + default = 256 +} + +variable "ui_memory" { + description = "Fargate memory (MiB) for the UI task." + type = number + default = 512 +} + +variable "ui_desired_count" { + description = "Desired number of UI tasks." + type = number + default = 1 +} + +# ---------- Autoscaling ---------- +# Defaults mirror helm/litellm/values.yaml HPAs. The "*_desired_count" vars +# above seed the initial task count; once autoscaling is enabled, the service's +# desired_count is left to Application Auto Scaling (ecs.tf ignores future +# changes to it). + +variable "gateway_autoscaling_enabled" { + description = "Toggle Application Auto Scaling target-tracking on the gateway service." + type = bool + default = true +} + +variable "gateway_min_capacity" { + description = "Minimum gateway task count under autoscaling." + type = number + default = 1 +} + +variable "gateway_max_capacity" { + description = "Maximum gateway task count under autoscaling." + type = number + default = 10 +} + +variable "gateway_cpu_target" { + description = "Target average CPU utilization (%) for the gateway autoscaling policy." + type = number + default = 70 +} + +variable "gateway_memory_target" { + description = "Target average memory utilization (%) for the gateway autoscaling policy. Set 0 to skip the memory policy and scale on CPU only." + type = number + default = 80 +} + +variable "backend_autoscaling_enabled" { + description = "Toggle Application Auto Scaling target-tracking on the backend service." + type = bool + default = true +} + +variable "backend_min_capacity" { + description = "Minimum backend task count under autoscaling." + type = number + default = 1 +} + +variable "backend_max_capacity" { + description = "Maximum backend task count under autoscaling." + type = number + default = 4 +} + +variable "backend_cpu_target" { + description = "Target average CPU utilization (%) for the backend autoscaling policy." + type = number + default = 70 +} + +variable "ui_autoscaling_enabled" { + description = "Toggle Application Auto Scaling target-tracking on the UI service. Off by default — UI is a static nginx export and one task is usually enough." + type = bool + default = false +} + +variable "ui_min_capacity" { + description = "Minimum UI task count under autoscaling." + type = number + default = 1 +} + +variable "ui_max_capacity" { + description = "Maximum UI task count under autoscaling." + type = number + default = 3 +} + +variable "ui_cpu_target" { + description = "Target average CPU utilization (%) for the UI autoscaling policy." + type = number + default = 80 +} + +# ---------- RDS ---------- + +variable "db_instance_class" { + description = "Aurora instance class for both writer and reader." + type = string + default = "db.r6g.large" +} + +variable "db_engine_version" { + description = "Aurora Postgres engine version. Major version drives the parameter-group family (aurora-postgresql)." + type = string + default = "16.4" +} + +variable "db_name" { + description = "Initial database name created on the Aurora cluster." + type = string + default = "litellm" +} + +variable "db_master_username" { + description = "Aurora master (superuser) username — used only to bootstrap the IAM-authed application user." + type = string + default = "postgres" +} + +variable "db_username" { + description = "IAM-authed Postgres user the proxy connects as. Must be CREATEd in the cluster and granted the rds_iam role — see terraform/litellm/aws/README.md." + type = string + default = "litellm_app" +} + +# ---------- Redis ---------- + +variable "redis_node_type" { + description = "ElastiCache node type." + type = string + default = "cache.t4g.small" +} + +variable "redis_num_replicas" { + description = "Number of read replicas in the Redis replication group. The primary plus this many replicas form the cluster — set to 0 for a single-node dev deployment, 1+ for HA. multi_az_enabled and automatic_failover_enabled require >= 1." + type = number + default = 1 + + validation { + condition = var.redis_num_replicas >= 0 + error_message = "redis_num_replicas must be >= 0." + } +} + +# ---------- TLS ---------- + +variable "acm_certificate_arn" { + description = <<-EOT + ACM certificate ARN for the ALB's HTTPS listener. When set, the stack + provisions a 443 listener carrying the same path-routing rules as the 80 + listener, and the 80 listener is rewritten to redirect HTTP→HTTPS. Leave + empty ("") to disable TLS (must combine with `allow_plaintext_alb = true` + for the plan to succeed — see README.md "TLS"). + EOT + type = string + default = "" +} + +variable "allow_plaintext_alb" { + description = <<-EOT + Opt into HTTP-only mode on the ALB (port 80, no TLS). Default false: + `terraform plan` fails when `acm_certificate_arn = ""` so the operator + must either provide an ACM cert or consciously opt out. Intended for + short-lived trial / dev stacks only. + EOT + type = bool + default = false +} + +# ---------- RDS ---------- + +variable "skip_final_snapshot" { + description = "Skip the Aurora final snapshot on `terraform destroy`. Default false — destroying the cluster takes a snapshot first so data is recoverable. Set true only for ephemeral / CI environments where you accept permanent data loss on destroy." + type = bool + default = false +} + +variable "s3_force_destroy" { + description = <<-EOT + Allow `terraform destroy` to delete the S3 bucket even when it still + contains objects (request log archives, /v1/files storage, S3 cache + backend). Default false — destroying a non-empty bucket fails, acting + as a tripwire against accidental data loss. Set true only for + ephemeral / CI environments. Mirrors the safety posture of + `skip_final_snapshot` on Aurora. + EOT + type = bool + default = false +} + +# ---------- Extra env ---------- + +variable "gateway_extra_env" { + description = <<-EOT + Additional plain-text env vars for the gateway container. Use this for + non-sensitive config (LANGFUSE_HOST, custom feature flags, …). For API + keys, use gateway_extra_secrets instead. + EOT + type = map(string) + default = {} +} + +variable "backend_extra_env" { + description = "Additional plain-text env vars for the backend container." + type = map(string) + default = {} +} + +variable "gateway_extra_secrets" { + description = <<-EOT + Extra env vars sourced from AWS Secrets Manager. Map of env-var name to + Secrets Manager ARN. Pass the bare secret ARN to inject the whole secret + string as the env var value, or append ":::" to extract a single + JSON field (ECS docs). + + Example for OPENAI_API_KEY: + gateway_extra_secrets = { + OPENAI_API_KEY = "arn:aws:secretsmanager:us-west-2:111122223333:secret:openai-api-key-AbCdEf" + } + + The stack's task execution role automatically gains GetSecretValue on every + ARN referenced here (suffix-stripped). + EOT + type = map(string) + default = {} +} + +variable "backend_extra_secrets" { + description = "Same shape as gateway_extra_secrets, but layered onto the backend container." + type = map(string) + default = {} +} + +variable "proxy_config" { + description = <<-EOT + LiteLLM proxy config (the contents of config.yaml). Mirrors the helm + chart's `gateway.config.proxy_config` value. Passed to gateway, backend, + and the migration task as a base64-encoded env var and decoded to + /tmp/litellm-config.yaml at container start; CONFIG_FILE_PATH is set + automatically. + + Example: + proxy_config = { + model_list = [ + { + model_name = "gpt-4o" + litellm_params = { + model = "openai/gpt-4o" + api_key = "os.environ/OPENAI_API_KEY" + } + }, + ] + general_settings = { + master_key = "os.environ/LITELLM_MASTER_KEY" + database_url = "os.environ/DATABASE_URL" + ui_username = "admin" + } + } + + Leave empty ({}) to skip mounting a config — the proxy then runs with + defaults. Use the "os.environ/" syntax in the YAML to reference + env vars provided by *_extra_env or *_extra_secrets. + EOT + type = any + default = {} +} + +variable "log_retention_days" { + description = "CloudWatch log retention for the three services." + type = number + default = 30 +} diff --git a/terraform/litellm/aws/versions.tf b/terraform/litellm/aws/versions.tf new file mode 100644 index 00000000000..73b88e91dce --- /dev/null +++ b/terraform/litellm/aws/versions.tf @@ -0,0 +1,14 @@ +terraform { + required_version = ">= 1.6.0" + + required_providers { + aws = { + source = "hashicorp/aws" + version = "~> 5.60" + } + random = { + source = "hashicorp/random" + version = "~> 3.6" + } + } +} diff --git a/terraform/litellm/gcp/.terraform.lock.hcl b/terraform/litellm/gcp/.terraform.lock.hcl new file mode 100644 index 00000000000..013391b53d4 --- /dev/null +++ b/terraform/litellm/gcp/.terraform.lock.hcl @@ -0,0 +1,62 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/google" { + version = "6.50.0" + constraints = "~> 6.10" + hashes = [ + "h1:79CwMTsp3Ud1nOl5hFS5mxQHyT0fGVye7pqpU0PPlHI=", + "zh:1f3513fcfcbf7ca53d667a168c5067a4dd91a4d4cccd19743e248ff31065503c", + "zh:3da7db8fc2c51a77dd958ea8baaa05c29cd7f829bd8941c26e2ea9cb3aadc1e5", + "zh:3e09ac3f6ca8111cbb659d38c251771829f4347ab159a12db195e211c76068bb", + "zh:7bb9e41c568df15ccf1a8946037355eefb4dfb4e35e3b190808bb7c4abae547d", + "zh:81e5d78bdec7778e6d67b5c3544777505db40a826b6eb5abe9b86d4ba396866b", + "zh:8d309d020fb321525883f5c4ea864df3d5942b6087f6656d6d8b3a1377f340fc", + "zh:93e112559655ab95a523193158f4a4ac0f2bfed7eeaa712010b85ebb551d5071", + "zh:d3efe589ffd625b300cef5917c4629513f77e3a7b111c9df65075f76a46a63c7", + "zh:d4a4d672bbef756a870d8f32b35925f8ce2ef4f6bbd5b71a3cb764f1b6c85421", + "zh:e13a86bca299ba8a118e80d5f84fbdd708fe600ecdceea1a13d4919c068379fe", + "zh:f569b65999264a9416862bca5cd2a6177d94ccb0424f3a4ef424428912b9cb3c", + "zh:fec30c095647b583a246c39d557704947195a1b7d41f81e369ba377d997faef6", + ] +} + +provider "registry.terraform.io/hashicorp/google-beta" { + version = "6.50.0" + constraints = "~> 6.10" + hashes = [ + "h1:P2GiUJM1frlPtBViwKn1A9V2dVBdGuWcX80w9TdH8ZE=", + "zh:18b442bd0a05321d39dda1e9e3f1bdede4e61bc2ac62cc7a67037a3864f75101", + "zh:2e387c51455862828bec923a3ec81abf63a4d998da470cf00e09003bda53d668", + "zh:3942e708fa84ebe54996086f4b1398cb747fe19cbcd0be07ace528291fb35dee", + "zh:496287dd48b34ae6197cb1f887abeafd07c33f389dbe431bb01e24846754cfdd", + "zh:6eca885419969ce5c2a706f34dce1f10bde9774757675f2d8a92d12e5a1be390", + "zh:710dbef826c3fe7f76f844dae47937e8e4c1279dd9205ec4610be04cf3327244", + "zh:777ebf44b24bfc7bdbf770dc089f1a72f143b4718fdedb8c6bd75983115a1ec2", + "zh:9c8703bba37b8c7ad857efc3513392c5a096c519397c1cb822d7612f38e4262f", + "zh:c4f1d3a73de2702277c99d5348ad6d374705bcfdd367ad964ff4cfd2cf06c281", + "zh:eca8df11af3f5a948492d5b8b5d01b4ec705aad10bc30ec1524205508ae28393", + "zh:f41e7fd5f2628e8fd6b8ea136366923858f54428d1729898925469b862c275c2", + "zh:f569b65999264a9416862bca5cd2a6177d94ccb0424f3a4ef424428912b9cb3c", + ] +} + +provider "registry.terraform.io/hashicorp/random" { + version = "3.8.1" + constraints = "~> 3.6" + hashes = [ + "h1:u8AKlWVDTH5r9YLSeswoVEjiY72Rt4/ch7U+61ZDkiQ=", + "zh:08dd03b918c7b55713026037c5400c48af5b9f468f483463321bd18e17b907b4", + "zh:0eee654a5542dc1d41920bbf2419032d6f0d5625b03bd81339e5b33394a3e0ae", + "zh:229665ddf060aa0ed315597908483eee5b818a17d09b6417a0f52fd9405c4f57", + "zh:2469d2e48f28076254a2a3fc327f184914566d9e40c5780b8d96ebf7205f8bc0", + "zh:37d7eb334d9561f335e748280f5535a384a88675af9a9eac439d4cfd663bcb66", + "zh:741101426a2f2c52dee37122f0f4a2f2d6af6d852cb1db634480a86398fa3511", + "zh:78d5eefdd9e494defcb3c68d282b8f96630502cac21d1ea161f53cfe9bb483b3", + "zh:a902473f08ef8df62cfe6116bd6c157070a93f66622384300de235a533e9d4a9", + "zh:b85c511a23e57a2147355932b3b6dce2a11e856b941165793a0c3d7578d94d05", + "zh:c5172226d18eaac95b1daac80172287b69d4ce32750c82ad77fa0768be4ea4b8", + "zh:dab4434dba34aad569b0bc243c2d3f3ff86dd7740def373f2a49816bd2ff819b", + "zh:f49fd62aa8c5525a5c17abd51e27ca5e213881d58882fd42fec4a545b53c9699", + ] +} diff --git a/terraform/litellm/gcp/README.md b/terraform/litellm/gcp/README.md new file mode 100644 index 00000000000..504cfa066e4 --- /dev/null +++ b/terraform/litellm/gcp/README.md @@ -0,0 +1,296 @@ +# LiteLLM on GCP (Cloud Run) + +Deploys the componentized LiteLLM proxy on GCP: + +- **VPC** + Private Services Access range + a Serverless VPC Access connector + so Cloud Run can reach private IPs +- **Cloud SQL for PostgreSQL** — primary instance + cross-zone read replica, + password auth via Secret Manager +- **Memorystore (Redis)** for caching + rate limiting, private IP only +- **GCS bucket** — private, versioned, uniform IAM; exposed as `GCS_BUCKET_NAME` +- **Secret Manager** entries for `LITELLM_MASTER_KEY` and `DATABASE_PASSWORD` +- **Cloud Run v2** services for `gateway` (port 4000), `backend` (port 4001), + and `ui` (port 3000), all using a shared runtime service account +- **Cloud Run Job** (`litellm-migrations`) that runs `prisma migrate deploy` from the dedicated `ghcr.io/berriai/litellm-migrations` image +- **External global HTTP(S) load balancer** with serverless NEGs and a URL + map mirroring the helm-chart ingress path routing: + - LLM data-plane prefixes → `gateway` + - UI asset paths → `ui` + - Everything else → `backend` + +## Image pulls + +There are four images: `litellm-gateway`, `litellm-backend`, `litellm-ui`, +and `litellm-migrations` (slim image used only by the one-off Cloud Run +Job — runs `prisma migrate deploy` against the writer DB and exits). +Bump them together when bumping LiteLLM. + +Cloud Run only accepts images from Artifact Registry, `[region.]gcr.io`, +or `docker.io` — `ghcr.io` URIs are rejected at apply time. The four +images are published to GHCR upstream, so any real deploy needs an +Artifact Registry remote repository pointed at GHCR. + +**One-time setup (per project):** create a remote repo and let Cloud Run +pull through it. + +```bash +gcloud artifacts repositories create litellm \ + --repository-format=docker \ + --location=us-central1 \ + --mode=remote-repository \ + --remote-repo-config-desc="GitHub Container Registry passthrough" \ + --remote-docker-repo=https://ghcr.io +``` + +Then point the stack at it via `image_registry`: + +```hcl +image_registry = "us-central1-docker.pkg.dev/my-gcp-project/litellm/berriai" +image_tag = "v1.86.0-dev" +``` + +The four `litellm-:${image_tag}` URIs are composed from those +two vars. Set `gateway_image` / `backend_image` / `ui_image` / +`migrations_image` only if you need a per-component override (custom +build, different tag). + +Two further notes: + +- The runtime SAs the stack creates do **not** need + `roles/artifactregistry.reader` — Cloud Run pulls images using the + per-project serverless agent + (`service-@serverless-robot-prod.iam.gserviceaccount.com`), + not the runtime SA. +- For a fully air-gapped option, mirror the images into a regular AR + repository instead of a remote repo: + + ```bash + for c in gateway backend ui migrations; do + docker pull ghcr.io/berriai/litellm-$c: + docker tag ghcr.io/berriai/litellm-$c: \ + us-central1-docker.pkg.dev/$PROJECT/litellm/$c: + docker push us-central1-docker.pkg.dev/$PROJECT/litellm/$c: + done + ``` + + then set `image_registry = "us-central1-docker.pkg.dev/$PROJECT/litellm"` + (drop the `/berriai` suffix — the mirrored layout has no org segment). + +## Database authentication + +LiteLLM's `init_iam_db_url_from_env()` mints **AWS RDS** tokens via boto3 — +it doesn't speak GCP IAM. To IAM-auth against Cloud SQL from Cloud Run you'd +need the Cloud SQL Auth Proxy as a sidecar, which complicates the service +spec. This stack therefore uses **password authentication**: + +- A random password is generated and stored in Secret Manager + (`-db-password`). +- Each Cloud Run service receives the password as `DATABASE_PASSWORD` via + `value_source.secret_key_ref`. +- The container's entrypoint shim assembles `DATABASE_URL` (and + `DATABASE_URL_READ_REPLICA`) from `DATABASE_HOST` / `DATABASE_PASSWORD` + before exec'ing uvicorn — so the password never appears in the service + spec or in logs. + +If you need GCP-native IAM auth later, add `cloud-sql-proxy` as a sidecar +container under `template.template.containers` (Cloud Run v2 supports +multiple containers) and replace the password-based URL with the proxy's +Unix socket. + +## Configuring the proxy + +### `proxy_config` + +Mirrors the helm chart's `gateway.config.proxy_config`. The map is +YAML-encoded and base64-passed to gateway, backend, and the migration job; +each container decodes it to `/tmp/litellm-config.yaml` at startup and sets +`CONFIG_FILE_PATH`. + +```hcl +proxy_config = { + model_list = [ + { + model_name = "gpt-4o" + litellm_params = { + model = "openai/gpt-4o" + api_key = "os.environ/OPENAI_API_KEY" + } + }, + ] + general_settings = { + master_key = "os.environ/LITELLM_MASTER_KEY" + database_url = "os.environ/DATABASE_URL" + } +} +``` + +LiteLLM resolves `os.environ/` references against the container +environment. Provider API keys belong in `*_extra_secrets` and are +referenced from the YAML by env-var name. + +### Extra env / secrets + +Non-sensitive env vars: + +```hcl +gateway_extra_env = { + LANGFUSE_HOST = "https://us.cloud.langfuse.com" +} +``` + +Sensitive values — create the secret in Secret Manager first, then reference +its resource ID: + +```bash +echo -n "sk-proj-..." | gcloud secrets create openai-api-key --data-file=- +``` + +```hcl +gateway_extra_secrets = { + OPENAI_API_KEY = "projects/my-gcp-project/secrets/openai-api-key" +} +``` + +The Cloud Run runtime SA auto-gains `roles/secretmanager.secretAccessor` on +every secret referenced. **Pass the bare secret resource ID only** — +`projects/.../secrets/openai-api-key`, never the version-suffixed form +`projects/.../secrets/openai-api-key/versions/3`. The Cloud Run +`secret_key_ref` binding and the stack's IAM `secret_id` grant both +reject the version suffix; version is always resolved as `latest`. If +you need a pinned version, edit `local.gateway_extra_secret_kv` in +`cloudrun.tf` directly to set `version = "3"` for the entry in question. + +## Tenant deployment + +Every resource the stack creates is named `${tenant}-litellm-${env}` (or +that plus a per-resource suffix), so multiple tenants and multiple +environments coexist in the same project as long as the `(tenant, env)` +pair differs: + +| `tenant` | `env` | Example resource name | +| -------- | ------- | ---------------------------------- | +| `acme` | `stage` | `acme-litellm-stage-gateway` | +| `acme` | `prod` | `acme-litellm-prod-master-key` | +| `globex` | `dev` | `globex-litellm-dev-license` | + +For a per-tenant instance, the only inputs that change are the tenant +slug, env, and the two pre-issued secrets: + +```bash +export TF_VAR_litellm_master_key="sk-..." # the tenant's master key +export TF_VAR_litellm_license="lic-..." # their LITELLM_LICENSE + +terraform apply \ + -var "project=my-gcp-project" \ + -var "region=us-central1" \ + -var "tenant=acme" \ + -var "env=stage" +``` + +Both `litellm_master_key` and `litellm_license` are optional: +- Omit `litellm_master_key` → the stack auto-generates a random `sk-…` + value (trial/dev path). +- Omit `litellm_license` → no license secret is created and gateway/ + backend run without `LITELLM_LICENSE` (OSS-only). + +Use `TF_VAR_*` env vars rather than tfvars files for these — values +written to a tfvars file end up in `terraform.tfstate` and any committed +example files. + +## Quick start + +```bash +cd terraform/litellm/gcp +cp terraform.tfvars.example terraform.tfvars +# Edit: project, region, tenant, env, *_image, proxy_config, gateway_extra_secrets. + +terraform init +terraform apply +``` + +That single apply provisions everything, runs the prisma schema migration via +the Cloud Run job (auto-triggered by `bootstrap.tf`), and only then starts the +gateway/backend services. When it returns, the stack is serving traffic. + +```bash +terraform output lb_url +# UI login: admin / +gcloud secrets versions access latest --secret="$(terraform output -raw master_key_secret_id)" +``` + +The `migration_run_command` output is preserved for break-glass manual re-runs. + +**Prerequisite**: `gcloud` must be authenticated (`gcloud auth login`) and the +required APIs must be enabled (run, sqladmin, redis, secretmanager, +vpcaccess, compute, servicenetworking, storage, artifactregistry). + +## TLS + +`terraform plan` refuses to provision an HTTP-only LB by default — TLS +is the supported posture. Two paths: + +**Production / staging — set `lb_domains`:** + +1. `terraform apply` once with `allow_plaintext_lb = true` (intentional + chicken-and-egg escape hatch) to provision the LB and read the anycast + IP from `terraform output -raw lb_ip`. +2. Point each DNS name you want to serve from at that IP. +3. Set `lb_domains = ["proxy.example.com"]` and remove + `allow_plaintext_lb`; re-apply. + +Result: a 443 forwarding rule with a Google-managed cert covering each +listed domain; the 80 forwarding rule is rewritten to serve a permanent +301 redirect to HTTPS, so HTTP clients are automatically upgraded. The +managed cert sits in `PROVISIONING` for ~15-60 min on first apply until +DNS propagation completes — `gcloud compute ssl-certificates describe +-litellm--cert` shows the state. + +**Trial / dev — explicitly opt into HTTP-only:** + +Set `allow_plaintext_lb = true` and leave `lb_domains = []`. Without the +flag, plan fails with a clear error pointing at the precondition. +Intended for short-lived trial / dev stacks only. + +## Storage and database retention + +Two opt-in tripwires guard against accidental data loss on +`terraform destroy`: + +- **`cloudsql_deletion_protection`** (Cloud SQL writer + reader; + default `true`) — destroy fails with a clear error rather than + dropping the database. +- **`gcs_force_destroy`** (GCS bucket holding request log archives, + `/v1/files` content, and the GCS cache backend; default `false`) — + `terraform destroy` against a non-empty bucket fails. + +Flip `cloudsql_deletion_protection` to `false` or `gcs_force_destroy` to +`true` only for ephemeral / CI stacks where you accept losing the data. + +## Redis encryption + +Memorystore runs with `transit_encryption_mode = "SERVER_AUTHENTICATION"`, +so the proxy connects via `rediss://`. The instance's self-signed CA cert +(`server_ca_certs[0].cert`) is shipped to gateway + backend as +`REDIS_CA_PEM_B64`; their entrypoint shell decodes it to `/tmp/redis-ca.pem` +before uvicorn starts and points `REDIS_SSL_CA_CERTS` at that path. No +extra config needed — but if you ever swap Memorystore for an external +Redis, override `REDIS_HOST`/`REDIS_PORT` and either drop these env vars +or point them at your own CA. + +## Files + +| File | What's in it | +| ----------------- | -------------------------------------------------------------------- | +| `versions.tf` | Terraform + provider version constraints | +| `providers.tf` | Google + Google-Beta providers | +| `variables.tf` | All input variables | +| `locals.tf` | Path-prefix lists (mirror of `helm/.../ingress.yaml`) + proxy_config helpers | +| `network.tf` | VPC, subnet, PSA range, Serverless VPC connector | +| `secrets.tf` | Secret Manager entries + random master_key | +| `cloudsql.tf` | Cloud SQL writer + read replica + app user + password secret | +| `redis.tf` | Memorystore Redis (private IP) | +| `gcs.tf` | GCS bucket + objectAdmin binding | +| `iam.tf` | Runtime SA + Cloud SQL client + Secret Manager accessor | +| `cloudrun.tf` | 3 Cloud Run services + Cloud Run Job for migrations | +| `load_balancer.tf`| External HTTPS LB, serverless NEGs, URL map for path routing | +| `outputs.tf` | LB IP, service URLs, secret IDs, migration `execute` command | diff --git a/terraform/litellm/gcp/bootstrap.tf b/terraform/litellm/gcp/bootstrap.tf new file mode 100644 index 00000000000..47ad885ff12 --- /dev/null +++ b/terraform/litellm/gcp/bootstrap.tf @@ -0,0 +1,43 @@ +# Auto-runs the prisma schema migration as part of `terraform apply`. Mirrors +# the AWS stack's terraform_data.migration in spirit. Cloud SQL doesn't need a +# separate user-bootstrap step because google_sql_user.app already creates the +# application user — so the only post-cluster work is the migration. +# +# Gateway/backend Cloud Run services depend on this resource (in cloudrun.tf) +# so they don't go live until the schema is in place. +# +# Triggers: +# - re-runs if the migrations image changes (new release ships new prisma +# migration files). +# - re-runs if the migration job is recreated. +# +# Requires `gcloud` on the machine running terraform, with user creds live +# enough to invoke Cloud Run admin APIs (`gcloud auth login`). + +resource "terraform_data" "migration" { + triggers_replace = { + job_id = google_cloud_run_v2_job.migrations.id + job_image = local.migrations_image + } + + provisioner "local-exec" { + interpreter = ["bash", "-c"] + environment = { + JOB = google_cloud_run_v2_job.migrations.name + REGION = var.region + PROJECT = var.project + } + command = <<-EOT + set -euo pipefail + gcloud run jobs execute "$JOB" \ + --region "$REGION" \ + --project "$PROJECT" \ + --wait + EOT + } + + depends_on = [ + google_cloud_run_v2_job.migrations, + google_sql_user.app, + ] +} diff --git a/terraform/litellm/gcp/cloudrun.tf b/terraform/litellm/gcp/cloudrun.tf new file mode 100644 index 00000000000..28e1145b081 --- /dev/null +++ b/terraform/litellm/gcp/cloudrun.tf @@ -0,0 +1,430 @@ +# Three Cloud Run v2 services + one Cloud Run v2 job for migrations. +# All four use the same service account and the same VPC connector for +# private egress to Cloud SQL + Memorystore. + +locals { + # Memorystore exposes a self-signed CA cert per instance; we ship it as + # a base64 env var and decode it to a file at container startup so the + # rediss:// connection can validate. Public cert, not sensitive. + redis_ca_pem_b64 = base64encode(google_redis_instance.this.server_ca_certs[0].cert) + + shared_env_kv = [ + { name = "DATABASE_HOST", value = google_sql_database_instance.writer.private_ip_address }, + { name = "DATABASE_PORT", value = "5432" }, + { name = "DATABASE_USER", value = var.db_username }, + { name = "DATABASE_NAME", value = var.db_name }, + { name = "DATABASE_HOST_READ_REPLICA", value = google_sql_database_instance.reader.private_ip_address }, + { name = "DATABASE_PORT_READ_REPLICA", value = "5432" }, + { name = "REDIS_HOST", value = google_redis_instance.this.host }, + { name = "REDIS_PORT", value = tostring(google_redis_instance.this.port) }, + # _redis.get_redis_url_from_environment honors REDIS_SSL to flip the + # scheme to rediss://; REDIS_SSL_CA_CERTS is mapped via + # _get_redis_env_kwarg_mapping → ssl_ca_certs on the redis-py client. + { name = "REDIS_SSL", value = "true" }, + { name = "REDIS_SSL_CA_CERTS", value = "/tmp/redis-ca.pem" }, + { name = "REDIS_CA_PEM_B64", value = local.redis_ca_pem_b64 }, + { name = "GCS_BUCKET_NAME", value = google_storage_bucket.this.name }, + ] + + # Cloud Run v2 secret env vars use value_source.secret_key_ref pointing at a + # secret resource ID. Shared between gateway and backend (the migrations + # job has its own narrower env list — see migrations_env_secrets below). + shared_env_secrets = concat( + [ + { name = "LITELLM_MASTER_KEY", secret = google_secret_manager_secret.master_key.id, version = "latest" }, + { name = "DATABASE_PASSWORD", secret = google_secret_manager_secret.db_password.id, version = "latest" }, + ], + var.litellm_license == "" ? [] : [ + { name = "LITELLM_LICENSE", secret = google_secret_manager_secret.license[0].id, version = "latest" }, + ], + ) + + # Backend-only managed secrets. UI_PASSWORD is consumed by the management + # API (UI login flow) and has no use on the gateway data plane. + backend_managed_env_secrets = var.ui_password == "" ? [] : [ + { name = "UI_PASSWORD", secret = google_secret_manager_secret.ui_password[0].id, version = "latest" }, + ] + + # Per-component extras (from variables). + gateway_extra_env_kv = [ + for k, v in var.gateway_extra_env : { name = k, value = v } + ] + backend_extra_env_kv = [ + for k, v in var.backend_extra_env : { name = k, value = v } + ] + + backend_default_env_kv = [ + { name = "STORE_MODEL_IN_DB", value = "true" }, + ] + gateway_extra_secret_kv = [ + for k, v in var.gateway_extra_secrets : { name = k, secret = v, version = "latest" } + ] + backend_extra_secret_kv = [ + for k, v in var.backend_extra_secrets : { name = k, secret = v, version = "latest" } + ] + + # Shell fragments composed with && so any failure short-circuits the + # whole startup instead of falling through to `exec uvicorn`. The + # python step is only included when the caller provided a proxy_config. + proxy_config_fragment = local.proxy_config_enabled ? [ + "python -c \"import os, base64, pathlib; pathlib.Path(os.environ['CONFIG_FILE_PATH']).write_bytes(base64.b64decode(os.environ['LITELLM_PROXY_CONFIG_B64']))\"" + ] : [] + + # Decode the Memorystore CA cert (passed as REDIS_CA_PEM_B64) to the + # path REDIS_SSL_CA_CERTS points at, so the redis-py client can validate + # the rediss:// handshake. + redis_ca_fragment = [ + "python -c \"import os, base64, pathlib; pathlib.Path(os.environ['REDIS_SSL_CA_CERTS']).write_bytes(base64.b64decode(os.environ['REDIS_CA_PEM_B64']))\"" + ] + + database_url_fragment = [ + "export DATABASE_URL=\"postgresql://$${DATABASE_USER}:$${DATABASE_PASSWORD}@$${DATABASE_HOST}:$${DATABASE_PORT}/$${DATABASE_NAME}\"", + "export DATABASE_URL_READ_REPLICA=\"postgresql://$${DATABASE_USER}:$${DATABASE_PASSWORD}@$${DATABASE_HOST_READ_REPLICA}:$${DATABASE_PORT_READ_REPLICA}/$${DATABASE_NAME}\"", + ] + + gateway_args = join(" && ", concat( + local.proxy_config_fragment, + local.redis_ca_fragment, + local.database_url_fragment, + ["exec uvicorn gateway.main:app --host 0.0.0.0 --port 4000"], + )) + + backend_args = join(" && ", concat( + local.proxy_config_fragment, + local.redis_ca_fragment, + local.database_url_fragment, + ["exec uvicorn backend.main:app --host 0.0.0.0 --port 4001"], + )) + + # Env shipped to the migrations Job. The migrations image runs run.py + # which assembles DATABASE_URL from these discrete vars itself, so we + # only need writer-side DB env (no read replica, no proxy_config, no + # master key). + migrations_env_kv = [ + { name = "DATABASE_HOST", value = google_sql_database_instance.writer.private_ip_address }, + { name = "DATABASE_PORT", value = "5432" }, + { name = "DATABASE_USER", value = var.db_username }, + { name = "DATABASE_NAME", value = var.db_name }, + ] + + migrations_env_secrets = [ + { name = "DATABASE_PASSWORD", secret = google_secret_manager_secret.db_password.id, version = "latest" }, + ] +} + +# ---------- Gateway ---------- +resource "google_cloud_run_v2_service" "gateway" { + name = "${local.name}-gateway" + location = var.region + ingress = "INGRESS_TRAFFIC_INTERNAL_LOAD_BALANCER" + + template { + service_account = google_service_account.runtime.email + max_instance_request_concurrency = var.gateway_max_instance_request_concurrency + + vpc_access { + connector = google_vpc_access_connector.this.id + egress = "PRIVATE_RANGES_ONLY" + } + + scaling { + min_instance_count = var.gateway_min_instances + max_instance_count = var.gateway_max_instances + } + + containers { + image = local.gateway_image + command = ["sh", "-c"] + args = [local.gateway_args] + + ports { + container_port = 4000 + } + + resources { + limits = { + cpu = var.gateway_cpu + memory = var.gateway_memory + } + } + + dynamic "env" { + for_each = concat(local.shared_env_kv, local.gateway_extra_env_kv, local.proxy_config_env) + content { + name = env.value.name + value = env.value.value + } + } + + dynamic "env" { + for_each = concat(local.shared_env_secrets, local.gateway_extra_secret_kv) + content { + name = env.value.name + value_source { + secret_key_ref { + secret = env.value.secret + version = env.value.version + } + } + } + } + + startup_probe { + http_get { + path = "/health/readiness" + port = 4000 + } + initial_delay_seconds = 10 + period_seconds = 10 + timeout_seconds = 5 + failure_threshold = 12 + } + + liveness_probe { + http_get { + path = "/health/liveliness" + port = 4000 + } + period_seconds = 30 + timeout_seconds = 5 + } + } + } + + depends_on = [ + google_secret_manager_secret_iam_member.master_key, + google_secret_manager_secret_iam_member.db_password, + google_secret_manager_secret_iam_member.license, + google_secret_manager_secret_iam_member.extras, + google_sql_user.app, + # Don't go live until the schema is migrated; otherwise the proxy boots, + # fails on missing tables, and Cloud Run keeps cold-restarting. + terraform_data.migration, + ] +} + +# ---------- Backend ---------- +resource "google_cloud_run_v2_service" "backend" { + name = "${local.name}-backend" + location = var.region + ingress = "INGRESS_TRAFFIC_INTERNAL_LOAD_BALANCER" + + template { + service_account = google_service_account.runtime.email + max_instance_request_concurrency = var.backend_max_instance_request_concurrency + + vpc_access { + connector = google_vpc_access_connector.this.id + egress = "PRIVATE_RANGES_ONLY" + } + + scaling { + min_instance_count = var.backend_min_instances + max_instance_count = var.backend_max_instances + } + + containers { + image = local.backend_image + command = ["sh", "-c"] + args = [local.backend_args] + + ports { + container_port = 4001 + } + + resources { + limits = { + cpu = var.backend_cpu + memory = var.backend_memory + } + } + + dynamic "env" { + for_each = concat(local.shared_env_kv, local.backend_default_env_kv, local.backend_extra_env_kv, local.proxy_config_env) + content { + name = env.value.name + value = env.value.value + } + } + + dynamic "env" { + for_each = concat(local.shared_env_secrets, local.backend_managed_env_secrets, local.backend_extra_secret_kv) + content { + name = env.value.name + value_source { + secret_key_ref { + secret = env.value.secret + version = env.value.version + } + } + } + } + + startup_probe { + http_get { + path = "/health/readiness" + port = 4001 + } + initial_delay_seconds = 10 + period_seconds = 10 + timeout_seconds = 5 + failure_threshold = 12 + } + + liveness_probe { + http_get { + path = "/health/liveliness" + port = 4001 + } + period_seconds = 30 + timeout_seconds = 5 + } + } + } + + depends_on = [ + google_secret_manager_secret_iam_member.master_key, + google_secret_manager_secret_iam_member.db_password, + google_secret_manager_secret_iam_member.license, + google_secret_manager_secret_iam_member.ui_password, + google_secret_manager_secret_iam_member.extras, + google_sql_user.app, + terraform_data.migration, + ] +} + +# ---------- UI ---------- +# Static nginx — no DB, no Redis, no secrets. Runs as ui_runtime, a SA +# with zero IAM bindings, so a compromised UI container can't pivot to +# Secret Manager / Cloud SQL via the metadata service. +resource "google_cloud_run_v2_service" "ui" { + name = "${local.name}-ui" + location = var.region + ingress = "INGRESS_TRAFFIC_INTERNAL_LOAD_BALANCER" + + template { + service_account = google_service_account.ui_runtime.email + max_instance_request_concurrency = var.ui_max_instance_request_concurrency + + scaling { + min_instance_count = var.ui_min_instances + max_instance_count = var.ui_max_instances + } + + containers { + image = local.ui_image + + ports { + container_port = 3000 + } + + resources { + limits = { + cpu = var.ui_cpu + memory = var.ui_memory + } + } + + startup_probe { + http_get { + path = "/healthz" + port = 3000 + } + initial_delay_seconds = 5 + period_seconds = 10 + timeout_seconds = 3 + failure_threshold = 6 + } + } + } +} + +# Allow the LB (any unauthenticated traffic from the configured serverless +# NEG) to invoke the Cloud Run services. The actual auth is in the proxy +# (LITELLM_MASTER_KEY); these IAM bindings just open up Cloud Run's invoker +# gate so the LB request makes it to the container. +resource "google_cloud_run_v2_service_iam_member" "gateway_allusers" { + project = var.project + location = google_cloud_run_v2_service.gateway.location + name = google_cloud_run_v2_service.gateway.name + role = "roles/run.invoker" + member = "allUsers" +} + +resource "google_cloud_run_v2_service_iam_member" "backend_allusers" { + project = var.project + location = google_cloud_run_v2_service.backend.location + name = google_cloud_run_v2_service.backend.name + role = "roles/run.invoker" + member = "allUsers" +} + +resource "google_cloud_run_v2_service_iam_member" "ui_allusers" { + project = var.project + location = google_cloud_run_v2_service.ui.location + name = google_cloud_run_v2_service.ui.name + role = "roles/run.invoker" + member = "allUsers" +} + +# ---------- Migrations job ---------- +# Dedicated litellm-migrations image — slim, ENTRYPOINT runs run.py which +# assembles DATABASE_URL from the DATABASE_* env vars and runs `prisma +# migrate deploy`. No proxy_config, no master key, no shell wrapper. +resource "google_cloud_run_v2_job" "migrations" { + name = "${local.name}-migrations" + location = var.region + + template { + template { + service_account = google_service_account.runtime.email + + vpc_access { + connector = google_vpc_access_connector.this.id + egress = "PRIVATE_RANGES_ONLY" + } + + containers { + image = local.migrations_image + + # Prisma's Node + Rust engine plus the v2 migration resolver + # routinely peaks above 1 GiB while applying the schema, so 2 GiB + # is the floor — 1 GiB OOM-kills mid-migrate. CPU stays at 1 vCPU + # (Cloud Run requires >= 1 with concurrency > 1, and `prisma + # migrate deploy` is single-threaded so more buys nothing). + resources { + limits = { + cpu = "1000m" + memory = "4Gi" + } + } + + dynamic "env" { + for_each = local.migrations_env_kv + content { + name = env.value.name + value = env.value.value + } + } + + dynamic "env" { + for_each = local.migrations_env_secrets + content { + name = env.value.name + value_source { + secret_key_ref { + secret = env.value.secret + version = env.value.version + } + } + } + } + } + } + } + + depends_on = [ + google_secret_manager_secret_iam_member.db_password, + google_sql_user.app, + ] +} diff --git a/terraform/litellm/gcp/cloudsql.tf b/terraform/litellm/gcp/cloudsql.tf new file mode 100644 index 00000000000..70939c049c3 --- /dev/null +++ b/terraform/litellm/gcp/cloudsql.tf @@ -0,0 +1,102 @@ +# Cloud SQL for PostgreSQL — one primary + one read replica. +# +# Note on auth: LiteLLM's IAM-auth helper (rds_iam_token.py) mints AWS RDS +# tokens via boto3 and doesn't speak GCP IAM. Cloud SQL IAM auth from Cloud +# Run requires the Cloud SQL Auth Proxy as a sidecar, which complicates the +# Cloud Run service spec. We instead use password auth: a random password +# lives in Secret Manager and is injected into the Cloud Run services as +# DATABASE_PASSWORD. The writer's DATABASE_URL is assembled inside the +# container at startup; the reader URL is built from the replica's IP. + +resource "google_sql_database_instance" "writer" { + name = local.name + region = var.region + database_version = var.db_version + + depends_on = [google_service_networking_connection.psa] + + settings { + # ENTERPRISE accepts the db-custom-* and db-n1-* tiers we default to. + # ENTERPRISE_PLUS only accepts db-perf-optimized-* and is ~3x cost — set + # var.db_edition = "ENTERPRISE_PLUS" + change var.db_tier together if you + # want it. + edition = var.db_edition + tier = var.db_tier + availability_type = "REGIONAL" + disk_size = 20 + disk_autoresize = true + + backup_configuration { + enabled = true + point_in_time_recovery_enabled = true + start_time = "07:00" + } + + ip_configuration { + ipv4_enabled = false + private_network = google_compute_network.this.id + } + + insights_config { + query_insights_enabled = true + record_application_tags = true + record_client_address = true + } + } + + deletion_protection = var.cloudsql_deletion_protection +} + +resource "google_sql_database_instance" "reader" { + name = "${local.name}-reader" + region = var.region + database_version = var.db_version + master_instance_name = google_sql_database_instance.writer.name + + depends_on = [google_service_networking_connection.psa] + + settings { + edition = var.db_edition + tier = var.db_tier + availability_type = "ZONAL" + disk_autoresize = true + + ip_configuration { + ipv4_enabled = false + private_network = google_compute_network.this.id + } + } + + deletion_protection = var.cloudsql_deletion_protection +} + +resource "google_sql_database" "this" { + name = var.db_name + instance = google_sql_database_instance.writer.name +} + +resource "random_password" "db_password" { + length = 32 + special = false + min_lower = 4 + min_upper = 4 + min_numeric = 4 +} + +resource "google_sql_user" "app" { + name = var.db_username + instance = google_sql_database_instance.writer.name + password = random_password.db_password.result +} + +resource "google_secret_manager_secret" "db_password" { + secret_id = "${local.name}-db-password" + replication { + auto {} + } +} + +resource "google_secret_manager_secret_version" "db_password" { + secret = google_secret_manager_secret.db_password.id + secret_data = random_password.db_password.result +} diff --git a/terraform/litellm/gcp/gcs.tf b/terraform/litellm/gcp/gcs.tf new file mode 100644 index 00000000000..86511d38a31 --- /dev/null +++ b/terraform/litellm/gcp/gcs.tf @@ -0,0 +1,29 @@ +# General-purpose GCS bucket — same role as the AWS S3 bucket. The bucket +# name is exposed to gateway + backend as GCS_BUCKET_NAME; reference it +# from proxy_config via `os.environ/GCS_BUCKET_NAME`. + +resource "random_id" "bucket_suffix" { + byte_length = 4 +} + +resource "google_storage_bucket" "this" { + name = "${var.project}-${local.name}-${random_id.bucket_suffix.hex}" + location = var.region + uniform_bucket_level_access = true + force_destroy = var.gcs_force_destroy + + versioning { + enabled = true + } + + public_access_prevention = "enforced" + + labels = var.labels +} + +# Cloud Run runtime SA gains object admin on this bucket only. +resource "google_storage_bucket_iam_member" "runtime" { + bucket = google_storage_bucket.this.name + role = "roles/storage.objectAdmin" + member = "serviceAccount:${google_service_account.runtime.email}" +} diff --git a/terraform/litellm/gcp/iam.tf b/terraform/litellm/gcp/iam.tf new file mode 100644 index 00000000000..93a9997ed7a --- /dev/null +++ b/terraform/litellm/gcp/iam.tf @@ -0,0 +1,71 @@ +# Runtime SA used by the gateway, backend, and migration job — has Cloud +# SQL client + Secret Manager accessor on every managed/extra secret. The +# UI deliberately uses a *different* SA (below) so a compromised UI +# container can't read master_key / db_password / license / ui_password / +# provider creds via the metadata service. +resource "google_service_account" "runtime" { + account_id = "${local.name}-runtime" + display_name = "LiteLLM Cloud Run runtime" +} + +# UI runtime SA — no role bindings. The UI is static nginx with no DB, +# Redis, or Secret Manager dependencies, so its task identity should not +# be able to read any of those. Cloud Run pulls the UI image via the +# project's serverless service agent (not this SA), so it doesn't need +# artifactregistry.reader either. +resource "google_service_account" "ui_runtime" { + account_id = "${local.name}-ui-runtime" + display_name = "LiteLLM Cloud Run UI runtime (no data-plane access)" +} + +# Cloud SQL client — lets the Cloud Run services connect to the instance +# over private IP via the VPC connector. +resource "google_project_iam_member" "runtime_cloudsql" { + project = var.project + role = "roles/cloudsql.client" + member = "serviceAccount:${google_service_account.runtime.email}" +} + +# Secret Manager accessor — managed secrets first (split out as separate +# resources because their IDs are computed-at-apply and can't drive a +# for_each). +resource "google_secret_manager_secret_iam_member" "master_key" { + secret_id = google_secret_manager_secret.master_key.id + role = "roles/secretmanager.secretAccessor" + member = "serviceAccount:${google_service_account.runtime.email}" +} + +resource "google_secret_manager_secret_iam_member" "db_password" { + secret_id = google_secret_manager_secret.db_password.id + role = "roles/secretmanager.secretAccessor" + member = "serviceAccount:${google_service_account.runtime.email}" +} + +# License secret accessor — only created when var.litellm_license is set. +resource "google_secret_manager_secret_iam_member" "license" { + count = var.litellm_license == "" ? 0 : 1 + + secret_id = google_secret_manager_secret.license[0].id + role = "roles/secretmanager.secretAccessor" + member = "serviceAccount:${google_service_account.runtime.email}" +} + +# UI password secret accessor — only created when var.ui_password is set. +resource "google_secret_manager_secret_iam_member" "ui_password" { + count = var.ui_password == "" ? 0 : 1 + + secret_id = google_secret_manager_secret.ui_password[0].id + role = "roles/secretmanager.secretAccessor" + member = "serviceAccount:${google_service_account.runtime.email}" +} + +# User-supplied extras. Dedupe on the secret resource ID — two different +# env-var names could reference the same secret, and we want exactly one +# IAM binding per (secret, role, member) tuple in state. +resource "google_secret_manager_secret_iam_member" "extras" { + for_each = toset(values(merge(var.gateway_extra_secrets, var.backend_extra_secrets))) + + secret_id = each.value + role = "roles/secretmanager.secretAccessor" + member = "serviceAccount:${google_service_account.runtime.email}" +} diff --git a/terraform/litellm/gcp/load_balancer.tf b/terraform/litellm/gcp/load_balancer.tf new file mode 100644 index 00000000000..b0081786f13 --- /dev/null +++ b/terraform/litellm/gcp/load_balancer.tf @@ -0,0 +1,185 @@ +# External global HTTP(S) load balancer fronting all three Cloud Run +# services. URL map mirrors the helm-chart ingress path routing: +# - LLM data-plane paths → gateway +# - UI asset paths → ui +# - Everything else → backend (management API: /key/*, /user/*, …) +# +# By default the LB serves plain HTTP on port 80. Set var.lb_domains to a +# list of DNS names already pointing at lb_ip and the stack provisions a +# Google-managed SSL cert + 443 forwarding rule, and the 80 forwarding rule +# is rewritten to redirect HTTP→HTTPS via a redirect-only URL map. + +locals { + tls_enabled = length(var.lb_domains) > 0 +} + +resource "google_compute_global_address" "lb" { + name = "${local.name}-lb-ip" +} + +# Serverless NEGs — one per Cloud Run service. +resource "google_compute_region_network_endpoint_group" "gateway" { + name = "${local.name}-gateway-neg" + region = var.region + network_endpoint_type = "SERVERLESS" + + cloud_run { + service = google_cloud_run_v2_service.gateway.name + } +} + +resource "google_compute_region_network_endpoint_group" "backend" { + name = "${local.name}-backend-neg" + region = var.region + network_endpoint_type = "SERVERLESS" + + cloud_run { + service = google_cloud_run_v2_service.backend.name + } +} + +resource "google_compute_region_network_endpoint_group" "ui" { + name = "${local.name}-ui-neg" + region = var.region + network_endpoint_type = "SERVERLESS" + + cloud_run { + service = google_cloud_run_v2_service.ui.name + } +} + +# Backend services wrap each NEG. +resource "google_compute_backend_service" "gateway" { + name = "${local.name}-gateway-bs" + protocol = "HTTP" + load_balancing_scheme = "EXTERNAL_MANAGED" + + backend { + group = google_compute_region_network_endpoint_group.gateway.id + } +} + +resource "google_compute_backend_service" "backend" { + name = "${local.name}-backend-bs" + protocol = "HTTP" + load_balancing_scheme = "EXTERNAL_MANAGED" + + backend { + group = google_compute_region_network_endpoint_group.backend.id + } +} + +resource "google_compute_backend_service" "ui" { + name = "${local.name}-ui-bs" + protocol = "HTTP" + load_balancing_scheme = "EXTERNAL_MANAGED" + + backend { + group = google_compute_region_network_endpoint_group.ui.id + } +} + +# URL map. Default → backend (management API). Path matchers route the +# gateway and UI prefixes elsewhere. +resource "google_compute_url_map" "this" { + name = local.name + default_service = google_compute_backend_service.backend.id + + host_rule { + hosts = ["*"] + path_matcher = "main" + } + + path_matcher { + name = "main" + default_service = google_compute_backend_service.backend.id + + # UI paths (catch them before any /v1/* gateway rules so /favicon.ico + # and / take precedence). + path_rule { + paths = local.ui_path_prefixes + service = google_compute_backend_service.ui.id + } + + # Gateway path prefixes. GCP URL maps cap a path_rule at 10 path globs, + # so chunk into rules of 10. + dynamic "path_rule" { + for_each = { for idx, chunk in chunklist(local.gateway_path_prefixes, 10) : idx => chunk } + content { + paths = path_rule.value + service = google_compute_backend_service.gateway.id + } + } + } +} + +# Permanent HTTP→HTTPS redirect URL map. Only attached to the port-80 +# target proxy when TLS is enabled; otherwise the regular path-routing +# URL map is attached to the HTTP proxy and everything stays plaintext. +resource "google_compute_url_map" "https_redirect" { + count = local.tls_enabled ? 1 : 0 + name = "${local.name}-redirect" + + default_url_redirect { + https_redirect = true + redirect_response_code = "MOVED_PERMANENTLY_DEFAULT" + strip_query = false + } +} + +resource "google_compute_target_http_proxy" "this" { + name = "${local.name}-http" + url_map = local.tls_enabled ? google_compute_url_map.https_redirect[0].id : google_compute_url_map.this.id + + # Default-deny on the HTTP-only path: TLS is the supported posture. + # Operators must either supply DNS names or explicitly opt in. + lifecycle { + precondition { + condition = local.tls_enabled || var.allow_plaintext_lb + error_message = "LB has no HTTPS forwarding rule. Either set `lb_domains` to a list of DNS names you want a Google-managed cert for, or set `allow_plaintext_lb = true` to opt into HTTP-only (trial / dev only)." + } + } +} + +resource "google_compute_global_forwarding_rule" "http" { + name = "${local.name}-http" + ip_protocol = "TCP" + port_range = "80" + load_balancing_scheme = "EXTERNAL_MANAGED" + ip_address = google_compute_global_address.lb.address + target = google_compute_target_http_proxy.this.id +} + +# ---------- HTTPS (gated on var.lb_domains) ---------- +# +# Google-managed certs require each listed domain to resolve to lb_ip +# *before* the cert provisions; on first apply the cert sits in +# PROVISIONING for ~15-60 min until DNS propagates. The LB starts serving +# 443 immediately, but cert handshakes fail until the managed cert +# transitions to ACTIVE. + +resource "google_compute_managed_ssl_certificate" "this" { + count = local.tls_enabled ? 1 : 0 + name = "${local.name}-cert" + + managed { + domains = var.lb_domains + } +} + +resource "google_compute_target_https_proxy" "this" { + count = local.tls_enabled ? 1 : 0 + name = "${local.name}-https" + url_map = google_compute_url_map.this.id + ssl_certificates = [google_compute_managed_ssl_certificate.this[0].id] +} + +resource "google_compute_global_forwarding_rule" "https" { + count = local.tls_enabled ? 1 : 0 + name = "${local.name}-https" + ip_protocol = "TCP" + port_range = "443" + load_balancing_scheme = "EXTERNAL_MANAGED" + ip_address = google_compute_global_address.lb.address + target = google_compute_target_https_proxy.this[0].id +} diff --git a/terraform/litellm/gcp/locals.tf b/terraform/litellm/gcp/locals.tf new file mode 100644 index 00000000000..2d1231fb197 --- /dev/null +++ b/terraform/litellm/gcp/locals.tf @@ -0,0 +1,79 @@ +# Gateway path prefixes — mirrored verbatim from gateway/routes/allowlist.py +# and helm/litellm/templates/ingress.yaml. URL maps use the "path matcher" +# rule with `paths` lists; up to 10 path globs per rule, up to 50 rules +# per matcher. Easily fits the gateway list in one rule per chunk-of-10. +locals { + # Every resource the stack creates is named `${tenant}-litellm-${env}` + # (or that with a per-resource suffix). Computed once here so the rest of + # the stack can reference local.name. + name = "${var.tenant}-litellm-${var.env}" + + gateway_path_prefixes = [ + "/v1/chat/*", "/chat/*", + "/v1/completions*", "/completions*", + "/v1/embeddings*", "/embeddings*", + "/v1/moderations*", "/moderations*", + "/v1/audio/*", "/audio/*", + "/v1/images/*", "/images/*", + "/v1/files*", "/files*", + "/v1/batches*", "/batches*", + "/v1/fine_tuning/*", "/fine_tuning/*", + "/v1/fine-tuning/*", "/fine-tuning/*", + "/v1/responses*", "/responses*", + "/v1/threads*", "/threads*", + "/v1/assistants*", "/assistants*", + "/v1/vector_stores*", "/vector_stores*", + "/v1/indexes*", + "/v1/models*", "/models*", + "/openai/*", "/engines/*", + "/v1/messages*", "/messages*", + "/v1/skills/*", "/v1/a2a/*", + "/v1/rerank*", "/v2/rerank*", "/rerank*", + "/v1/ocr*", "/ocr*", + "/v1/rag/*", "/rag/*", + "/v1/video/*", "/v1/videos/*", "/video/*", "/videos/*", + "/v1/search*", "/search*", + "/v1/containers/*", "/containers/*", + "/v1/evals/*", + "/v1/memory/*", + "/queue/chat/*", + "/v1beta/*", + "/interactions/*", + "/anthropic/*", "/azure/*", "/azure_ai/*", "/aws/*", "/bedrock/*", + "/cohere/*", "/gemini/*", "/google/*", + "/vertex_ai/*", "/vertex-ai/*", + "/assemblyai/*", "/eu.assemblyai/*", + "/langfuse/*", "/vllm/*", + "/mistral/*", "/groq/*", "/voyage/*", "/cursor/*", "/milvus/*", + "/openai_passthrough/*", + "/toolset/*", + "/v1/realtime*", "/realtime*", + "/health*", "/metrics", "/test*", + ] + + ui_path_prefixes = [ + "/", + "/favicon.ico", + "/litellm-asset-prefix/*", + "/_next/*", + "/assets/*", + "/ui", + "/ui/*", + ] + + proxy_config_enabled = length(keys(var.proxy_config)) > 0 + proxy_config_b64 = local.proxy_config_enabled ? base64encode(yamlencode(var.proxy_config)) : "" + + proxy_config_env = local.proxy_config_enabled ? [ + { name = "LITELLM_PROXY_CONFIG_B64", value = local.proxy_config_b64 }, + { name = "CONFIG_FILE_PATH", value = "/tmp/litellm-config.yaml" }, + ] : [] + + # Resolved image URIs: per-component override wins, otherwise compose + # from image_registry + image_tag. Cloud Run only accepts AR / gcr.io / + # docker.io paths — see variables.tf for the full constraint list. + gateway_image = var.gateway_image != "" ? var.gateway_image : "${var.image_registry}/litellm-gateway:${var.image_tag}" + backend_image = var.backend_image != "" ? var.backend_image : "${var.image_registry}/litellm-backend:${var.image_tag}" + ui_image = var.ui_image != "" ? var.ui_image : "${var.image_registry}/litellm-ui:${var.image_tag}" + migrations_image = var.migrations_image != "" ? var.migrations_image : "${var.image_registry}/litellm-migrations:${var.image_tag}" +} diff --git a/terraform/litellm/gcp/network.tf b/terraform/litellm/gcp/network.tf new file mode 100644 index 00000000000..a1ccaed02f9 --- /dev/null +++ b/terraform/litellm/gcp/network.tf @@ -0,0 +1,46 @@ +resource "google_compute_network" "this" { + name = local.name + auto_create_subnetworks = false + routing_mode = "REGIONAL" +} + +resource "google_compute_subnetwork" "this" { + name = "${local.name}-${var.region}" + region = var.region + network = google_compute_network.this.id + ip_cidr_range = var.subnet_cidr + private_ip_google_access = true +} + +# Private Services Access (PSA) range for Cloud SQL + Memorystore. Both +# managed services peer with the VPC over the connection below using +# addresses from this range. +resource "google_compute_global_address" "psa" { + name = "${local.name}-psa" + purpose = "VPC_PEERING" + address_type = "INTERNAL" + prefix_length = 16 + network = google_compute_network.this.id +} + +resource "google_service_networking_connection" "psa" { + network = google_compute_network.this.id + service = "servicenetworking.googleapis.com" + reserved_peering_ranges = [google_compute_global_address.psa.name] +} + +# Serverless VPC Access connector — required so Cloud Run can reach +# Cloud SQL / Memorystore private IPs via the PSA range. +# +# min/max instances are required by the API now (you can't just set +# machine_type alone). Defaults: 2 e2-micro instances scale up to 3 — fine +# for low-to-moderate Cloud Run egress; bump max if your services push +# heavy private-network traffic. +resource "google_vpc_access_connector" "this" { + name = "${local.name}-conn" + region = var.region + network = google_compute_network.this.name + ip_cidr_range = var.vpc_connector_cidr + min_instances = 2 + max_instances = 3 +} diff --git a/terraform/litellm/gcp/outputs.tf b/terraform/litellm/gcp/outputs.tf new file mode 100644 index 00000000000..df25215adcc --- /dev/null +++ b/terraform/litellm/gcp/outputs.tf @@ -0,0 +1,64 @@ +output "lb_ip" { + description = "Global anycast IP of the external HTTPS load balancer." + value = google_compute_global_address.lb.address +} + +output "lb_url" { + description = "Proxy URL. Switches scheme based on whether lb_domains is set; when TLS is enabled the URL points at the first listed domain (since managed certs are tied to the hostname, not the anycast IP). The dashboard is served at /, the API at /v1/*." + value = local.tls_enabled ? "https://${var.lb_domains[0]}" : "http://${google_compute_global_address.lb.address}" +} + +output "gateway_service_url" { + description = "Default Cloud Run URL for the gateway (bypasses the LB)." + value = google_cloud_run_v2_service.gateway.uri +} + +output "backend_service_url" { + description = "Default Cloud Run URL for the backend (bypasses the LB)." + value = google_cloud_run_v2_service.backend.uri +} + +output "ui_service_url" { + description = "Default Cloud Run URL for the UI (bypasses the LB)." + value = google_cloud_run_v2_service.ui.uri +} + +output "cloudsql_writer_ip" { + description = "Private IP of the Cloud SQL writer." + value = google_sql_database_instance.writer.private_ip_address +} + +output "cloudsql_reader_ip" { + description = "Private IP of the Cloud SQL read replica." + value = google_sql_database_instance.reader.private_ip_address +} + +output "redis_endpoint" { + description = "Memorystore Redis endpoint." + value = "${google_redis_instance.this.host}:${google_redis_instance.this.port}" +} + +output "gcs_bucket" { + description = "GCS bucket name. Exposed to gateway + backend as GCS_BUCKET_NAME. Reference from proxy_config via `os.environ/GCS_BUCKET_NAME`." + value = google_storage_bucket.this.name +} + +output "master_key_secret_id" { + description = "Secret Manager resource ID holding LITELLM_MASTER_KEY. Fetch with `gcloud secrets versions access latest --secret=`." + value = google_secret_manager_secret.master_key.secret_id +} + +output "db_password_secret_id" { + description = "Secret Manager resource ID holding the Cloud SQL app-user password." + value = google_secret_manager_secret.db_password.secret_id +} + +output "migration_run_command" { + description = "Shell command that executes the one-off migration job against Cloud SQL. Run this once after the first apply." + value = format( + "gcloud run jobs execute %s --region %s --project %s --wait", + google_cloud_run_v2_job.migrations.name, + var.region, + var.project, + ) +} diff --git a/terraform/litellm/gcp/providers.tf b/terraform/litellm/gcp/providers.tf new file mode 100644 index 00000000000..fd1584463f8 --- /dev/null +++ b/terraform/litellm/gcp/providers.tf @@ -0,0 +1,9 @@ +provider "google" { + project = var.project + region = var.region +} + +provider "google-beta" { + project = var.project + region = var.region +} diff --git a/terraform/litellm/gcp/redis.tf b/terraform/litellm/gcp/redis.tf new file mode 100644 index 00000000000..f7e174ecbae --- /dev/null +++ b/terraform/litellm/gcp/redis.tf @@ -0,0 +1,20 @@ +resource "google_redis_instance" "this" { + name = local.name + tier = var.redis_tier + memory_size_gb = var.redis_memory_size_gb + region = var.region + + authorized_network = google_compute_network.this.id + connect_mode = "PRIVATE_SERVICE_ACCESS" + + redis_version = "REDIS_7_0" + + # In-transit encryption between Cloud Run and Memorystore. The instance + # exposes its self-signed CA via `server_ca_certs` (read in cloudrun.tf + # and passed to the proxy as REDIS_CA_PEM_B64); the proxy decodes it to + # /tmp/redis-ca.pem at startup and uses it to validate the rediss:// + # handshake. Mirrors `transit_encryption_enabled = true` on AWS. + transit_encryption_mode = "SERVER_AUTHENTICATION" + + depends_on = [google_service_networking_connection.psa] +} diff --git a/terraform/litellm/gcp/secrets.tf b/terraform/litellm/gcp/secrets.tf new file mode 100644 index 00000000000..80312e06a91 --- /dev/null +++ b/terraform/litellm/gcp/secrets.tf @@ -0,0 +1,62 @@ +resource "random_password" "master_key" { + length = 48 + special = false + min_lower = 4 + min_upper = 4 + min_numeric = 4 +} + +# LITELLM_MASTER_KEY (sk-…) lives in Secret Manager. The Cloud Run service +# account gets accessor permission on it (see iam.tf). +resource "google_secret_manager_secret" "master_key" { + secret_id = "${local.name}-master-key" + replication { + auto {} + } +} + +resource "google_secret_manager_secret_version" "master_key" { + secret = google_secret_manager_secret.master_key.id + # When the operator passes litellm_master_key, use it verbatim. Otherwise + # fall back to the auto-generated `sk-…` value (trial / OSS path). + secret_data = coalesce(var.litellm_master_key, "sk-${random_password.master_key.result}") +} + +# LITELLM_LICENSE — only created when the operator supplies one. The runtime +# SA gets accessor permission via iam.tf, and gateway + backend pick it up +# through shared_env_secrets in cloudrun.tf. +resource "google_secret_manager_secret" "license" { + count = var.litellm_license == "" ? 0 : 1 + + secret_id = "${local.name}-license" + replication { + auto {} + } +} + +resource "google_secret_manager_secret_version" "license" { + count = var.litellm_license == "" ? 0 : 1 + + secret = google_secret_manager_secret.license[0].id + secret_data = var.litellm_license +} + +# UI_PASSWORD — backend-only. Same pattern as license: only created when +# the operator supplies one. The runtime SA gets accessor permission via +# iam.tf, and the backend service picks the env var up through +# backend_managed_env_secrets in cloudrun.tf. +resource "google_secret_manager_secret" "ui_password" { + count = var.ui_password == "" ? 0 : 1 + + secret_id = "${local.name}-ui-password" + replication { + auto {} + } +} + +resource "google_secret_manager_secret_version" "ui_password" { + count = var.ui_password == "" ? 0 : 1 + + secret = google_secret_manager_secret.ui_password[0].id + secret_data = var.ui_password +} diff --git a/terraform/litellm/gcp/terraform.tfvars.example b/terraform/litellm/gcp/terraform.tfvars.example new file mode 100644 index 00000000000..5c22a14c6d6 --- /dev/null +++ b/terraform/litellm/gcp/terraform.tfvars.example @@ -0,0 +1,77 @@ +project = "my-gcp-project" +region = "us-central1" + +# Resource naming: every GCP resource the stack creates is named +# `${tenant}-litellm-${env}` (or that plus a per-resource suffix). E.g. +# tenant="acme" + env="stage" → Cloud Run service `acme-litellm-stage-gateway`, +# Cloud SQL instance `acme-litellm-stage`, etc. +tenant = "acme" +env = "stage" + +# Tenant-supplied secrets. Prefer TF_VAR_litellm_master_key / +# TF_VAR_litellm_license / TF_VAR_ui_password env vars so the values don't +# end up in a committed tfvars file. All three are optional — when +# omitted the stack auto-generates a master key, runs without a license, +# and falls back to LITELLM_MASTER_KEY for UI login. +# litellm_master_key = "sk-..." +# litellm_license = "lic-..." +# ui_password = "..." + +# TLS: provide DNS names already pointing at the LB IP for a Google-managed +# cert. Without one, plan fails unless allow_plaintext_lb = true is set +# explicitly (trial/dev only). +# lb_domains = ["proxy.example.com"] +# allow_plaintext_lb = true + +# Storage and database retention. Defaults are safe — destroy preserves +# data. Flip these only for ephemeral / CI stacks. +# cloudsql_deletion_protection = true # default: refuse destroy on the DB +# gcs_force_destroy = false # default: refuse destroy on a non-empty bucket + +# Component images. Defaults pin all four to the same GHCR release tag — +# bump them together when bumping LiteLLM. To use private images, mirror +# them into Artifact Registry first — Cloud Run only authenticates against +# AR / gcr.io. +# gateway_image = "us-central1-docker.pkg.dev/my-gcp-project/litellm/gateway:1.86.0-dev" +# backend_image = "us-central1-docker.pkg.dev/my-gcp-project/litellm/backend:1.86.0-dev" +# ui_image = "us-central1-docker.pkg.dev/my-gcp-project/litellm/ui:1.86.0-dev" +# migrations_image = "us-central1-docker.pkg.dev/my-gcp-project/litellm/migrations:1.86.0-dev" + +# ---------- proxy_config (mirrors helm gateway.config.proxy_config) ---------- +# proxy_config = { +# model_list = [ +# { +# model_name = "gpt-4o" +# litellm_params = { +# model = "openai/gpt-4o" +# api_key = "os.environ/OPENAI_API_KEY" +# } +# }, +# ] +# general_settings = { +# master_key = "os.environ/LITELLM_MASTER_KEY" +# database_url = "os.environ/DATABASE_URL" +# } +# } + +# ---------- Extra env / secrets ---------- +# Plain-text env vars (non-sensitive). Land directly in the Cloud Run service spec. +# gateway_extra_env = { +# LANGFUSE_HOST = "https://us.cloud.langfuse.com" +# } + +# Backend env vars commonly tuned in prod: SSO redirect, docs branding, +# UI admin username. UI_PASSWORD is its own first-class var (see top). +# backend_extra_env = { +# AUTO_REDIRECT_UI_LOGIN_TO_SSO = "true" +# DOCS_TITLE = "Acme LiteLLM" +# UI_USERNAME = "admin" +# } + +# Provider API keys — Secret Manager resource IDs (NOT secret values). The +# Cloud Run SA auto-gains roles/secretmanager.secretAccessor on every +# secret listed here. Same shape works for backend_extra_secrets. +# gateway_extra_secrets = { +# OPENAI_API_KEY = "projects/my-gcp-project/secrets/openai-api-key" +# ANTHROPIC_API_KEY = "projects/my-gcp-project/secrets/anthropic-api-key" +# } diff --git a/terraform/litellm/gcp/variables.tf b/terraform/litellm/gcp/variables.tf new file mode 100644 index 00000000000..fe726b0317a --- /dev/null +++ b/terraform/litellm/gcp/variables.tf @@ -0,0 +1,405 @@ +variable "project" { + description = "GCP project ID." + type = string +} + +variable "region" { + description = "GCP region for VPC, Cloud SQL, Memorystore, Cloud Run, and the LB IP." + type = string + default = "us-central1" +} + +variable "tenant" { + description = "Tenant slug — used as the prefix for every GCP resource the stack creates. Combined with var.env to form `-litellm-` (e.g. `acme-litellm-stage`)." + type = string + + validation { + condition = can(regex("^[a-z][a-z0-9-]{0,20}$", var.tenant)) + error_message = "tenant must be 1-21 chars, lower-kebab-case, starting with a letter." + } +} + +variable "env" { + description = "Environment suffix appended to every resource name (e.g. `stage`, `prod`, `dev`)." + type = string + + validation { + condition = can(regex("^[a-z][a-z0-9-]{0,8}$", var.env)) + error_message = "env must be 1-9 chars, lower-kebab-case, starting with a letter." + } +} + +variable "labels" { + description = "Resource labels merged into every label-supporting resource." + type = map(string) + default = { + "managed-by" = "terraform" + } +} + +# ---------- Tenant-supplied secrets ---------- +# +# Both default to "" so the stack stays usable for trial / OSS deploys. +# Set via TF_VAR_litellm_master_key / TF_VAR_litellm_license to keep the +# values out of state files committed to a VCS. + +variable "litellm_master_key" { + description = <<-EOT + Pre-existing LITELLM_MASTER_KEY (must begin with `sk-`). When set, this + value is written to the master-key Secret Manager entry. When empty, + the stack auto-generates a random `sk-…` key (preserving today's + trial-deploy behavior). + EOT + type = string + default = "" + sensitive = true +} + +variable "litellm_license" { + description = <<-EOT + LiteLLM enterprise license string. When set, the stack creates a + `-litellm--license` Secret Manager entry, grants the + runtime SA accessor on it, and exposes its value to gateway + backend + as `LITELLM_LICENSE`. Leave empty for OSS-only deploys. + EOT + type = string + default = "" + sensitive = true +} + +variable "ui_password" { + description = <<-EOT + UI admin password. When set, the stack creates a + `-litellm--ui-password` Secret Manager entry, grants the + runtime SA accessor on it, and exposes its value to the backend as + `UI_PASSWORD`. Pair with `backend_extra_env.UI_USERNAME` to set the + matching username. Leave empty to skip — the proxy then falls back to + the LITELLM_MASTER_KEY for UI login. + EOT + type = string + default = "" + sensitive = true +} + +# ---------- Networking ---------- + +variable "subnet_cidr" { + description = "Primary CIDR block for the LiteLLM subnet." + type = string + default = "10.40.0.0/16" +} + +variable "vpc_connector_cidr" { + description = "CIDR for the Serverless VPC Access connector. /28 required." + type = string + default = "10.41.0.0/28" +} + +# ---------- Component images ---------- +# +# Cloud Run only pulls from Artifact Registry, [region.]gcr.io, or +# docker.io — it rejects arbitrary registries (notably ghcr.io) at apply +# time. The four images live on GHCR upstream, so any real deploy must +# either set `image_registry` to an Artifact Registry remote repository +# pointed at ghcr.io (e.g. `us-central1-docker.pkg.dev/my-proj/litellm/berriai`) +# or override the per-component `*_image` vars individually with full URIs. + +variable "image_registry" { + description = <<-EOT + Registry path prefix used to compose the four LiteLLM image URIs as + `/litellm-:`. The default + (`ghcr.io/berriai`) only works on registries Cloud Run accepts — for + GHCR-backed deploys, create an Artifact Registry remote repository + pointed at `https://ghcr.io` and set this to that repo's path + (e.g. `us-central1-docker.pkg.dev///berriai`). + Per-component overrides (`gateway_image`, `backend_image`, `ui_image`, + `migrations_image`) bypass this entirely when set. + EOT + type = string + default = "ghcr.io/berriai" +} + +variable "image_tag" { + description = "Tag applied to all four litellm-* images when composed from `image_registry`. Bump in lockstep when bumping LiteLLM. Must match a tag actually published to GHCR — the split images use the `v`-prefixed semver convention (e.g. `v1.86.0-dev`)." + type = string + default = "v1.86.0-dev" +} + +variable "gateway_image" { + description = "Full image URI for the gateway. Empty (default) composes from `image_registry` + `image_tag`. Public images or Artifact Registry only — Cloud Run won't authenticate against arbitrary private registries." + type = string + default = "" +} + +variable "backend_image" { + description = "Full image URI for the backend. Empty (default) composes from `image_registry` + `image_tag`." + type = string + default = "" +} + +variable "ui_image" { + description = "Full image URI for the UI. Empty (default) composes from `image_registry` + `image_tag`." + type = string + default = "" +} + +variable "migrations_image" { + description = <<-EOT + Full image URI for the one-off prisma migration Cloud Run Job. Empty + (default) composes from `image_registry` + `image_tag` as + `litellm-migrations`. Built from `migrations/Dockerfile` — slim image + whose ENTRYPOINT runs `python3 /app/run.py` (assembles DATABASE_URL + from DATABASE_* env vars via DatabaseURLSettings, then runs + `prisma migrate deploy`). Should track the same release tag as + gateway/backend/ui. + EOT + type = string + default = "" +} + +# ---------- Service sizing ---------- + +variable "gateway_cpu" { + description = "Cloud Run CPU per gateway instance." + type = string + default = "1000m" +} + +variable "gateway_memory" { + description = "Cloud Run memory per gateway instance." + type = string + default = "4Gi" +} + +# Cloud Run autoscales out of the box (request-rate driven). The min/max +# bounds mirror the HPA replica bounds in helm/litellm/values.yaml so each +# stack scales over the same range. Cloud Run has no direct CPU-utilization +# target; the request-concurrency knob below is the closest analog. + +variable "gateway_min_instances" { + description = "Lower bound on gateway Cloud Run instances. Matches helm HPA minReplicas." + type = number + default = 1 +} + +variable "gateway_max_instances" { + description = "Upper bound on gateway Cloud Run instances. Matches helm HPA maxReplicas." + type = number + default = 10 +} + +variable "gateway_max_instance_request_concurrency" { + description = "Concurrent requests one gateway instance handles before Cloud Run scales out. Cloud Run v2 default is 80; lower it for LLM streams that pin a worker for tens of seconds." + type = number + default = 80 +} + +variable "backend_cpu" { + description = "Cloud Run CPU per backend instance. Cloud Run rejects sub-1 CPU when `backend_max_instance_request_concurrency > 1`, so the default is 1000m. Lower this only if you also drop concurrency to 1." + type = string + default = "1000m" +} + +variable "backend_memory" { + description = "Cloud Run memory per backend instance." + type = string + default = "4Gi" +} + +variable "backend_min_instances" { + description = "Lower bound on backend Cloud Run instances. Matches helm HPA minReplicas." + type = number + default = 1 +} + +variable "backend_max_instances" { + description = "Upper bound on backend Cloud Run instances. Matches helm HPA maxReplicas." + type = number + default = 4 +} + +variable "backend_max_instance_request_concurrency" { + description = "Concurrent requests one backend instance handles before Cloud Run scales out." + type = number + default = 80 +} + +variable "ui_cpu" { + description = "Cloud Run CPU per UI instance. Cloud Run rejects sub-1 CPU when `ui_max_instance_request_concurrency > 1`, so the default is 1000m. Lower this only if you also drop concurrency to 1 (which makes nginx scale 1:1 with traffic — almost never what you want)." + type = string + default = "1000m" +} + +variable "ui_memory" { + description = "Cloud Run memory per UI instance. Cloud Run rejects `< 512Mi` when CPU is always-allocated (the default whenever `ui_min_instances > 0`), so the default is 512Mi." + type = string + default = "512Mi" +} + +variable "ui_min_instances" { + description = "Lower bound on UI Cloud Run instances. Matches helm HPA minReplicas." + type = number + default = 1 +} + +variable "ui_max_instances" { + description = "Upper bound on UI Cloud Run instances. Matches helm HPA maxReplicas." + type = number + default = 3 +} + +variable "ui_max_instance_request_concurrency" { + description = "Concurrent requests one UI instance handles before Cloud Run scales out. The UI is static nginx, so this can be high." + type = number + default = 200 +} + +# ---------- Cloud SQL ---------- + +variable "db_tier" { + description = "Cloud SQL tier (machine type) for the writer instance." + type = string + default = "db-custom-2-7680" +} + +variable "db_edition" { + description = "Cloud SQL edition. ENTERPRISE accepts the db-custom-* and db-n1-* tiers. ENTERPRISE_PLUS only accepts db-perf-optimized-* tiers and is ~3x cost — change db_tier in lockstep when switching." + type = string + default = "ENTERPRISE" + + validation { + condition = contains(["ENTERPRISE", "ENTERPRISE_PLUS"], var.db_edition) + error_message = "db_edition must be ENTERPRISE or ENTERPRISE_PLUS." + } +} + +variable "db_version" { + description = "Cloud SQL Postgres version." + type = string + default = "POSTGRES_16" +} + +variable "db_name" { + description = "Initial database created on the Cloud SQL instance." + type = string + default = "litellm" +} + +variable "db_username" { + description = "Application Postgres user (password-auth). Password is auto-generated and stored in Secret Manager." + type = string + default = "litellm_app" +} + +variable "lb_domains" { + description = <<-EOT + DNS names for a Google-managed SSL certificate fronting the LB. When + non-empty, the stack provisions a 443 forwarding rule + HTTPS target + proxy + managed cert covering these domains, and the existing 80 + forwarding rule serves a permanent 301 redirect to HTTPS. Leave empty + ([]) to disable TLS (must combine with `allow_plaintext_lb = true` for + the plan to succeed — see README.md "TLS"). Each domain must already + resolve to the LB's anycast IP (`lb_ip` output) for managed-cert + provisioning to succeed. + EOT + type = list(string) + default = [] +} + +variable "allow_plaintext_lb" { + description = <<-EOT + Opt into HTTP-only mode on the load balancer (port 80, no TLS). + Default false: `terraform plan` fails when `lb_domains = []` so the + operator must either provide DNS names for a managed cert or + consciously opt out. Intended for short-lived trial / dev stacks only. + EOT + type = bool + default = false +} + +variable "cloudsql_deletion_protection" { + description = "Cloud SQL instance-level deletion protection (writer + reader). Default true — `terraform destroy` (and `terraform apply` operations that replace the instance) will fail with a clear error rather than silently dropping the database. Set false only for ephemeral / CI environments." + type = bool + default = true +} + +variable "gcs_force_destroy" { + description = <<-EOT + Allow `terraform destroy` to delete the GCS bucket even when it still + contains objects (request log archives, /v1/files storage, GCS cache + backend). Default false — destroying a non-empty bucket fails, acting + as a tripwire against accidental data loss. Set true only for + ephemeral / CI environments. Mirrors `s3_force_destroy` on AWS and + `cloudsql_deletion_protection` on the database side. + EOT + type = bool + default = false +} + +# ---------- Memorystore (Redis) ---------- + +variable "redis_tier" { + description = "Memorystore tier — STANDARD_HA for production, BASIC for dev." + type = string + default = "STANDARD_HA" +} + +variable "redis_memory_size_gb" { + type = number + default = 1 +} + +# ---------- Extras / proxy_config ---------- + +variable "gateway_extra_env" { + description = "Plain-text env vars layered onto the gateway." + type = map(string) + default = {} +} + +variable "backend_extra_env" { + description = "Plain-text env vars layered onto the backend." + type = map(string) + default = {} +} + +variable "gateway_extra_secrets" { + description = <<-EOT + Extra env vars sourced from Google Secret Manager, applied to the + gateway. Map of env-var name to the Secret Manager **secret resource + ID** (`projects//secrets/` — *not* a version resource + ID; the Cloud Run secret_key_ref binding and the stack's IAM grant + both reject `/versions/` suffixes). Versions are always resolved + as `latest`; if you need a pinned version, edit + `local.gateway_extra_secret_kv` in `cloudrun.tf` directly. + + Example: + gateway_extra_secrets = { + OPENAI_API_KEY = "projects/my-proj/secrets/openai-api-key" + } + + The Cloud Run service account auto-gains roles/secretmanager.secretAccessor + on each secret listed here. + EOT + type = map(string) + default = {} +} + +variable "backend_extra_secrets" { + description = "Same shape as gateway_extra_secrets (secret resource ID, version always `latest`), layered onto the backend." + type = map(string) + default = {} +} + +variable "proxy_config" { + description = <<-EOT + LiteLLM proxy config (contents of config.yaml). Mirrors the helm chart's + `gateway.config.proxy_config`. Passed to gateway, backend, and the + migration job as a base64-encoded env var and decoded to + /tmp/litellm-config.yaml at container start; CONFIG_FILE_PATH is set + automatically. Reference env-injected secrets from the YAML via + `os.environ/`. Leave empty ({}) to skip. + EOT + type = any + default = {} +} diff --git a/terraform/litellm/gcp/versions.tf b/terraform/litellm/gcp/versions.tf new file mode 100644 index 00000000000..a630c59afd0 --- /dev/null +++ b/terraform/litellm/gcp/versions.tf @@ -0,0 +1,18 @@ +terraform { + required_version = ">= 1.6.0" + + required_providers { + google = { + source = "hashicorp/google" + version = "~> 6.10" + } + google-beta = { + source = "hashicorp/google-beta" + version = "~> 6.10" + } + random = { + source = "hashicorp/random" + version = "~> 3.6" + } + } +} diff --git a/tests/code_coverage_tests/liccheck.ini b/tests/code_coverage_tests/liccheck.ini index 5a09403c570..3d53ecede7b 100644 --- a/tests/code_coverage_tests/liccheck.ini +++ b/tests/code_coverage_tests/liccheck.ini @@ -90,6 +90,7 @@ jinja2: >=3.1.4 # BSD 3-Clause License litellm-proxy-extras: >=0.1.1 # MIT License litellm-enterprise: >=0.1.1 # LiteLLM Enterprise License a2a-sdk: >=0.3.22 # Apache 2.0 license +pydantic-settings: >=2.14.1 # MIT License manually verified (uses PEP 639 License-Expression: MIT, not the legacy License field, so liccheck reports it as unknown) anyio: >=4.5.0 # Unknown license httpx-aiohttp: >=0.1.4 # Unknown license backoff: >=2.2.1 # Unknown license diff --git a/tests/llm_translation/reasoning_effort_grid/__init__.py b/tests/llm_translation/reasoning_effort_grid/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/llm_translation/reasoning_effort_grid/conftest.py b/tests/llm_translation/reasoning_effort_grid/conftest.py new file mode 100644 index 00000000000..4ea2cd1d9b9 --- /dev/null +++ b/tests/llm_translation/reasoning_effort_grid/conftest.py @@ -0,0 +1,38 @@ +from typing import Any, Dict, List, Optional + +import pytest + +import litellm +from litellm.integrations.custom_logger import CustomLogger + + +class _WireBodyCapture(CustomLogger): + def __init__(self) -> None: + super().__init__() + self.records: List[Dict[str, Any]] = [] + + def log_pre_api_call(self, model, messages, kwargs): + self.records.append( + { + "model": model, + "body": kwargs.get("additional_args", {}).get("complete_input_dict"), + "api_base": kwargs.get("additional_args", {}).get("api_base"), + } + ) + + async def async_log_pre_api_call(self, model, messages, kwargs): + self.log_pre_api_call(model, messages, kwargs) + + def latest(self) -> Optional[Dict[str, Any]]: + return self.records[-1] if self.records else None + + +@pytest.fixture() +def wire_capture(): + capture = _WireBodyCapture() + previous = list(litellm.callbacks) + litellm.callbacks = previous + [capture] + try: + yield capture + finally: + litellm.callbacks = previous diff --git a/tests/llm_translation/reasoning_effort_grid/grid_spec.py b/tests/llm_translation/reasoning_effort_grid/grid_spec.py new file mode 100644 index 00000000000..ed5346dad71 --- /dev/null +++ b/tests/llm_translation/reasoning_effort_grid/grid_spec.py @@ -0,0 +1,289 @@ +from dataclasses import dataclass, field +from typing import Dict, FrozenSet, List, Optional, Tuple + + +OMIT = object() + + +@dataclass(frozen=True) +class CellExpectation: + status: int + thinking_type: object + output_config_effort: object = OMIT + thinking_budget_tokens: object = OMIT + max_tokens: object = OMIT + + +@dataclass(frozen=True) +class ModelEntry: + alias: str + model: str + mode: str + extra_params: Tuple[Tuple[str, str], ...] = field(default_factory=tuple) + required_env: FrozenSet[str] = field(default_factory=frozenset) + caps: FrozenSet[str] = field(default_factory=frozenset) + + def params(self) -> Dict[str, str]: + return dict(self.extra_params) + + +EFFORTS: Tuple[str, ...] = ( + "__omit__", + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max", + "disabled", + "invalid", + "", +) + +_BUDGET_TOKENS: Dict[str, int] = { + "minimal": 1024, + "low": 1024, + "medium": 2048, + "high": 4096, + "xhigh": 8192, + "max": 16384, +} + +_ADAPTIVE_EFFORT_LABEL: Dict[str, str] = { + "minimal": "low", + "low": "low", + "medium": "medium", + "high": "high", + "xhigh": "xhigh", + "max": "max", +} + +_BAD_REQUEST_EFFORTS: FrozenSet[str] = frozenset({"disabled", "invalid", ""}) + + +def expected(model: ModelEntry, effort: str) -> CellExpectation: + if effort in ("__omit__", "none"): + if model.mode == "budget": + return CellExpectation(status=200, thinking_type=OMIT, max_tokens=8192) + return CellExpectation(status=200, thinking_type=OMIT) + + if effort in _BAD_REQUEST_EFFORTS: + return CellExpectation(status=400, thinking_type=OMIT) + + if effort in ("xhigh", "max"): + cap = f"supports_{effort}_reasoning_effort" + if cap not in model.caps: + return CellExpectation(status=400, thinking_type=OMIT) + + if model.mode == "adaptive": + return CellExpectation( + status=200, + thinking_type="adaptive", + output_config_effort=_ADAPTIVE_EFFORT_LABEL[effort], + ) + + return CellExpectation( + status=200, + thinking_type="enabled", + thinking_budget_tokens=_BUDGET_TOKENS[effort], + max_tokens=8192, + ) + + +_ANTHROPIC_REQ = frozenset({"ANTHROPIC_API_KEY"}) +_AZURE_FOUNDRY_REQ = frozenset({"AZURE_FOUNDRY_API_BASE", "AZURE_FOUNDRY_API_KEY"}) +_VERTEX_REQ = frozenset({"VERTEX_PROJECT"}) +_BEDROCK_REQ = frozenset({"AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY"}) + + +_CAPS_OPUS_4_7: FrozenSet[str] = frozenset( + {"supports_xhigh_reasoning_effort", "supports_max_reasoning_effort"} +) +_CAPS_4_6: FrozenSet[str] = frozenset({"supports_max_reasoning_effort"}) +_CAPS_NONE: FrozenSet[str] = frozenset() + + +ANTHROPIC_DIRECT_MODELS: Tuple[ModelEntry, ...] = ( + ModelEntry( + alias="claude-opus-4-7", + model="anthropic/claude-opus-4-7", + mode="adaptive", + required_env=_ANTHROPIC_REQ, + caps=_CAPS_OPUS_4_7, + ), + ModelEntry( + alias="claude-sonnet-4-6", + model="anthropic/claude-sonnet-4-6", + mode="adaptive", + required_env=_ANTHROPIC_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="claude-haiku-4-5", + model="anthropic/claude-haiku-4-5", + mode="budget", + required_env=_ANTHROPIC_REQ, + caps=_CAPS_NONE, + ), +) + + +AZURE_AI_MODELS: Tuple[ModelEntry, ...] = ( + ModelEntry( + alias="azure-claude-opus-4-7", + model="azure_ai/claude-opus-4-7", + mode="adaptive", + required_env=_AZURE_FOUNDRY_REQ, + caps=_CAPS_OPUS_4_7, + ), + ModelEntry( + alias="azure-claude-opus-4-6", + model="azure_ai/claude-opus-4-6", + mode="adaptive", + required_env=_AZURE_FOUNDRY_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="azure-claude-sonnet-4-6", + model="azure_ai/claude-sonnet-4-6", + mode="adaptive", + required_env=_AZURE_FOUNDRY_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="azure-claude-haiku-4-5", + model="azure_ai/claude-haiku-4-5", + mode="budget", + required_env=_AZURE_FOUNDRY_REQ, + caps=_CAPS_NONE, + ), +) + + +VERTEX_AI_MODELS: Tuple[ModelEntry, ...] = ( + ModelEntry( + alias="vertex-claude-opus-4-7", + model="vertex_ai/claude-opus-4-7", + mode="adaptive", + extra_params=(("vertex_location", "global"),), + required_env=_VERTEX_REQ, + caps=_CAPS_OPUS_4_7, + ), + ModelEntry( + alias="vertex-claude-opus-4-6", + model="vertex_ai/claude-opus-4-6", + mode="adaptive", + extra_params=(("vertex_location", "us-east5"),), + required_env=_VERTEX_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="vertex-claude-sonnet-4-6", + model="vertex_ai/claude-sonnet-4-6", + mode="adaptive", + extra_params=(("vertex_location", "us-east5"),), + required_env=_VERTEX_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="vertex-claude-haiku-4-5", + model="vertex_ai/claude-haiku-4-5", + mode="budget", + extra_params=(("vertex_location", "us-east5"),), + required_env=_VERTEX_REQ, + caps=_CAPS_NONE, + ), +) + + +BEDROCK_CONVERSE_MODELS: Tuple[ModelEntry, ...] = ( + ModelEntry( + alias="bedrock-claude-opus-4-7", + model="bedrock/converse/us.anthropic.claude-opus-4-7", + mode="adaptive", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_OPUS_4_7, + ), + ModelEntry( + alias="bedrock-claude-opus-4-6", + model="bedrock/converse/us.anthropic.claude-opus-4-6-v1", + mode="adaptive", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="bedrock-claude-sonnet-4-6", + model="bedrock/converse/us.anthropic.claude-sonnet-4-6", + mode="adaptive", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="bedrock-claude-sonnet-4-5", + model="bedrock/converse/us.anthropic.claude-sonnet-4-5-20250929-v1:0", + mode="budget", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_NONE, + ), +) + + +BEDROCK_INVOKE_CHAT_MODELS: Tuple[ModelEntry, ...] = ( + ModelEntry( + alias="bedrock-invoke-claude-opus-4-6", + model="bedrock/invoke/us.anthropic.claude-opus-4-6-v1", + mode="adaptive", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="bedrock-invoke-claude-sonnet-4-6", + model="bedrock/invoke/us.anthropic.claude-sonnet-4-6", + mode="adaptive", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_4_6, + ), + ModelEntry( + alias="bedrock-invoke-claude-opus-4-5", + model="bedrock/invoke/us.anthropic.claude-opus-4-5-20251101-v1:0", + mode="budget", + extra_params=(("aws_region_name", "us-east-1"),), + required_env=_BEDROCK_REQ, + caps=_CAPS_NONE, + ), +) + + +BEDROCK_INVOKE_MESSAGES_MODELS: Tuple[ModelEntry, ...] = BEDROCK_INVOKE_CHAT_MODELS + + +@dataclass(frozen=True) +class Route: + name: str + models: Tuple[ModelEntry, ...] + + +ROUTES: Tuple[Route, ...] = ( + Route("anthropic_direct", ANTHROPIC_DIRECT_MODELS), + Route("azure_ai", AZURE_AI_MODELS), + Route("vertex_ai", VERTEX_AI_MODELS), + Route("bedrock_converse", BEDROCK_CONVERSE_MODELS), + Route("bedrock_invoke_chat", BEDROCK_INVOKE_CHAT_MODELS), + Route("bedrock_invoke_messages", BEDROCK_INVOKE_MESSAGES_MODELS), +) + + +def all_cells() -> List[Tuple[str, ModelEntry, str, CellExpectation]]: + cells: List[Tuple[str, ModelEntry, str, CellExpectation]] = [] + for route in ROUTES: + for model in route.models: + for effort in EFFORTS: + cells.append((route.name, model, effort, expected(model, effort))) + return cells diff --git a/tests/llm_translation/reasoning_effort_grid/test_reasoning_effort_grid.py b/tests/llm_translation/reasoning_effort_grid/test_reasoning_effort_grid.py new file mode 100644 index 00000000000..28e2e402d67 --- /dev/null +++ b/tests/llm_translation/reasoning_effort_grid/test_reasoning_effort_grid.py @@ -0,0 +1,207 @@ +import json +import os +from typing import Any, Dict, List, Optional, Tuple + +import pytest + +import litellm +from litellm.exceptions import BadRequestError + +from .grid_spec import ( + OMIT, + ROUTES, + CellExpectation, + ModelEntry, + all_cells, +) + + +_PROMPT_MESSAGES: List[Dict[str, str]] = [ + {"role": "user", "content": "Step by step, calculate 47 * 53. Show your work."} +] + + +def _required_env_missing(model: ModelEntry) -> Optional[str]: + missing = [key for key in model.required_env if not os.environ.get(key)] + if missing: + return "missing env: " + ", ".join(sorted(missing)) + return None + + +def _max_tokens_for(model: ModelEntry) -> int: + return 200 if model.mode == "adaptive" else 8192 + + +def _build_completion_kwargs(model: ModelEntry, effort: str) -> Dict[str, Any]: + kwargs: Dict[str, Any] = { + "model": model.model, + "messages": _PROMPT_MESSAGES, + "max_tokens": _max_tokens_for(model), + } + kwargs.update(model.params()) + if effort != "__omit__": + kwargs["reasoning_effort"] = effort + if model.model.startswith("vertex_ai/"): + kwargs["vertex_project"] = os.environ["VERTEX_PROJECT"] + if model.model.startswith("azure_ai/"): + kwargs["api_base"] = os.environ["AZURE_FOUNDRY_API_BASE"] + kwargs["api_key"] = os.environ["AZURE_FOUNDRY_API_KEY"] + return kwargs + + +def _converse_subbody(body: Dict[str, Any]) -> Dict[str, Any]: + return body.get("additionalModelRequestFields", body) + + +def _max_tokens_from_body(body: Dict[str, Any], route_name: str) -> Optional[int]: + if route_name == "bedrock_converse": + return body.get("inferenceConfig", {}).get("maxTokens") + return body.get("max_tokens") + + +def _assert_cell( + route_name: str, + body: Optional[Dict[str, Any]], + status: int, + cell: CellExpectation, +) -> None: + assert status == cell.status, f"expected status={cell.status}, got status={status}" + + if cell.status != 200: + return + + assert body is not None, "wire body was not captured for a 200-status cell" + subbody = _converse_subbody(body) if route_name == "bedrock_converse" else body + thinking = subbody.get("thinking") + output_config = subbody.get("output_config") + + if cell.thinking_type is OMIT: + assert thinking is None, f"expected thinking omitted, got {thinking!r}" + else: + assert thinking is not None, "expected thinking present, got omit" + assert thinking.get("type") == cell.thinking_type, ( + f"expected thinking.type={cell.thinking_type!r}, " + f"got {thinking.get('type')!r}" + ) + + if cell.output_config_effort is OMIT: + assert ( + output_config is None or "effort" not in output_config + ), f"expected output_config.effort omitted, got {output_config!r}" + else: + assert output_config is not None, ( + f"expected output_config.effort={cell.output_config_effort!r}, " + "got output_config omitted" + ) + assert output_config.get("effort") == cell.output_config_effort, ( + f"expected output_config.effort={cell.output_config_effort!r}, " + f"got {output_config.get('effort')!r}" + ) + + if cell.thinking_budget_tokens is not OMIT: + assert thinking is not None + assert thinking.get("budget_tokens") == cell.thinking_budget_tokens, ( + f"expected thinking.budget_tokens={cell.thinking_budget_tokens!r}, " + f"got {thinking.get('budget_tokens')!r}" + ) + + if cell.max_tokens is not OMIT: + wire_max = _max_tokens_from_body(body, route_name) + assert ( + wire_max == cell.max_tokens + ), f"expected max_tokens={cell.max_tokens!r}, got {wire_max!r}" + + +_PARAMS: List[Tuple[str, ModelEntry, str, CellExpectation]] = all_cells() + + +def _cell_id(case: Tuple[str, ModelEntry, str, CellExpectation]) -> str: + route_name, model, effort, _ = case + effort_label = "__empty__" if effort == "" else effort + return f"{route_name}-{model.alias}-{effort_label}" + + +_PARAM_IDS: List[str] = [_cell_id(case) for case in _PARAMS] + + +def _classify_status(exc: Exception) -> int: + if isinstance(exc, BadRequestError): + return 400 + code = getattr(exc, "status_code", None) + if isinstance(code, int): + return code + return 500 + + +async def _call_chat(model: ModelEntry, effort: str) -> Tuple[int, Optional[Exception]]: + kwargs = _build_completion_kwargs(model, effort) + try: + await litellm.acompletion(**kwargs) + return 200, None + except Exception as exc: + return _classify_status(exc), exc + + +async def _call_messages( + model: ModelEntry, effort: str +) -> Tuple[int, Optional[Exception]]: + kwargs = _build_completion_kwargs(model, effort) + try: + await litellm.anthropic_messages(**kwargs) + return 200, None + except Exception as exc: + return _classify_status(exc), exc + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + ("route_name", "model", "effort", "cell"), _PARAMS, ids=_PARAM_IDS +) +async def test_reasoning_effort_grid( + route_name: str, + model: ModelEntry, + effort: str, + cell: CellExpectation, + wire_capture, +) -> None: + skip_reason = _required_env_missing(model) + if skip_reason: + pytest.skip(skip_reason) + + if route_name == "bedrock_invoke_messages": + status, exc = await _call_messages(model, effort) + else: + status, exc = await _call_chat(model, effort) + + record = wire_capture.latest() + body = record["body"] if record else None + if route_name == "bedrock_converse" and isinstance(body, str): + body = json.loads(body) + + try: + _assert_cell(route_name, body, status, cell) + except AssertionError: + if exc is not None: + raise AssertionError( + f"underlying exception ({type(exc).__name__}): {exc}" + ) from None + raise + + +def test_grid_cell_count() -> None: + assert len(_PARAMS) == 21 * 11, ( + f"expected 231 cells (21 provider x model combos x 11 efforts), " + f"got {len(_PARAMS)}" + ) + + +def test_grid_route_coverage() -> None: + route_names = {route.name for route in ROUTES} + assert route_names == { + "anthropic_direct", + "azure_ai", + "vertex_ai", + "bedrock_converse", + "bedrock_invoke_chat", + "bedrock_invoke_messages", + } diff --git a/tests/llm_translation/test_fireworks_ai_translation.py b/tests/llm_translation/test_fireworks_ai_translation.py index 1cc6aabdca8..47b95c27ab7 100644 --- a/tests/llm_translation/test_fireworks_ai_translation.py +++ b/tests/llm_translation/test_fireworks_ai_translation.py @@ -93,20 +93,32 @@ class TestFireworksAIAudioTranscription(BaseLLMAudioTranscriptionTest): [True, False], ) def test_document_inlining_example(disable_add_transform_inline_image_block): - litellm.set_verbose = True - if disable_add_transform_inline_image_block is True: - with pytest.raises(Exception): - completion = litellm.completion( - model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct", + """ + Document inlining appends ``#transform=inline`` to image/PDF URLs in the + outgoing request unless explicitly disabled. Assert the transform on the + serialized payload rather than making a live Fireworks call — the live + call only proved the model responded and broke whenever Fireworks rotated + its serverless model catalog. + """ + from unittest.mock import patch + + from litellm import completion + from litellm.llms.custom_httpx.http_handler import HTTPHandler + + client = HTTPHandler() + pdf_url = "https://storage.googleapis.com/fireworks-public/test/sample_resume.pdf" + + with patch.object(client, "post") as mock_post: + try: + completion( + model="fireworks_ai/accounts/fireworks/models/deepseek-v3p1", messages=[ { "role": "user", "content": [ { "type": "image_url", - "image_url": { - "url": "https://storage.googleapis.com/fireworks-public/test/sample_resume.pdf" - }, + "image_url": {"url": pdf_url}, }, { "type": "text", @@ -116,19 +128,19 @@ def test_document_inlining_example(disable_add_transform_inline_image_block): } ], disable_add_transform_inline_image_block=disable_add_transform_inline_image_block, + client=client, ) - else: - completion = litellm.completion( - model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct", - messages=[ - { - "role": "user", - "content": "this is a test request, write a short poem", - }, - ], - disable_add_transform_inline_image_block=disable_add_transform_inline_image_block, - ) - print(completion) + except Exception as e: + print(e) + + mock_post.assert_called_once() + json_data = json.loads(mock_post.call_args.kwargs["data"]) + sent_url = json_data["messages"][0]["content"][0]["image_url"]["url"] + if disable_add_transform_inline_image_block is True: + assert sent_url == pdf_url + assert "#transform=inline" not in sent_url + else: + assert sent_url == pdf_url + "#transform=inline" @pytest.mark.parametrize( @@ -215,7 +227,7 @@ def test_global_disable_flag_with_transform_messages_helper(monkeypatch): ) as mock_post: try: completion( - model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct", + model="fireworks_ai/accounts/fireworks/models/deepseek-v3p1", messages=[ { "role": "user", diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py index 97b0aaee86b..bd340aa63be 100644 --- a/tests/llm_translation/test_gemini.py +++ b/tests/llm_translation/test_gemini.py @@ -1362,8 +1362,12 @@ def test_anthropic_thinking_param_to_gemini_3_provider_defaults(): ) # For Gemini 3, should not force thinkingLevel by default - assert "thinkingLevel" not in result, "Should not force thinkingLevel for Gemini 3" - assert "thinkingBudget" not in result, "Should NOT have thinkingBudget for Gemini 3" + assert ( + "thinkingLevel" not in result + ), "Should not force thinkingLevel for Gemini 3" + assert ( + "thinkingBudget" not in result + ), "Should NOT have thinkingBudget for Gemini 3" assert result["includeThoughts"] is True # Test 2: Anthropic thinking disabled for Gemini 3 @@ -1395,7 +1399,10 @@ def test_anthropic_thinking_param_to_gemini_3_provider_defaults(): ) assert result_zero["includeThoughts"] is False - assert "thinkingLevel" not in result_zero or result_zero.get("thinkingLevel") is None + assert ( + "thinkingLevel" not in result_zero + or result_zero.get("thinkingLevel") is None + ) # Test 4: Gemini 3 flash-preview should also follow provider defaults by default result_gemini3flashpreview = VertexGeminiConfig._map_thinking_param( @@ -1525,8 +1532,12 @@ def test_anthropic_thinking_param_via_map_openai_params(): # Check that thinkingConfig was created without forced thinkingLevel assert "thinkingConfig" in result, "Should have thinkingConfig in optional_params" thinking_config = result["thinkingConfig"] - assert "thinkingLevel" not in thinking_config, "Should not force thinkingLevel for Gemini 3 by default" - assert "thinkingBudget" not in thinking_config, "Should NOT have thinkingBudget for Gemini 3" + assert ( + "thinkingLevel" not in thinking_config + ), "Should not force thinkingLevel for Gemini 3 by default" + assert ( + "thinkingBudget" not in thinking_config + ), "Should NOT have thinkingBudget for Gemini 3" assert thinking_config["includeThoughts"] is True # Test with Gemini 2 model @@ -1594,13 +1605,49 @@ def test_gemini_31_flash_lite_reasoning_effort_minimal(): ), "gemini-3.1-flash-lite-preview should use thinkingLevel, not thinkingBudget" -def test_gemini_image_size_limit_exceeded(): +def test_gemini_image_size_limit_exceeded(monkeypatch): """ Test that large images exceeding MAX_IMAGE_URL_DOWNLOAD_SIZE_MB are rejected. This validates that the 50MB default limit prevents downloading very large images that could cause memory issues and pod crashes. + + The image fetch is mocked (mirroring the LargeImageClient pattern in + tests/test_litellm/litellm_core_utils/test_image_handling.py) so the test + deterministically exercises the size-limit rejection path without any + external network dependency. """ + from httpx import Request, Response + + from litellm.litellm_core_utils.prompt_templates import image_handling + + class LargeImageClient: + """Returns a response whose Content-Length exceeds the 50MB limit.""" + + def get(self, url, follow_redirects=True): + size_bytes = int(100 * 1024 * 1024) # 100MB > 50MB default limit + return Response( + status_code=200, + headers={ + "Content-Type": "image/jpeg", + "Content-Length": str(size_bytes), + }, + # Empty body: the Content-Length header check in + # _process_image_response rejects the image before the body + # is ever streamed, so there's no need to allocate 100MB. + content=b"", + request=Request("GET", url), + ) + + # Bypass SSRF validation (which would resolve DNS / hit the network) and + # route straight to our mocked client. + monkeypatch.setattr( + image_handling, + "safe_get", + lambda client, url, **kw: client.get(url, follow_redirects=True), + ) + monkeypatch.setattr(litellm, "module_level_client", LargeImageClient()) + messages = [ { "role": "user", @@ -1608,7 +1655,7 @@ def test_gemini_image_size_limit_exceeded(): {"type": "text", "text": "What is in this image?"}, { "type": "image_url", - "image_url": "https://upload.wikimedia.org/wikipedia/commons/5/51/Blue_Marble_2002.jpg", + "image_url": "https://example.com/large-image.jpg", }, ], } diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py index 6341fa78006..cce6d33e799 100644 --- a/tests/local_testing/test_completion.py +++ b/tests/local_testing/test_completion.py @@ -1047,22 +1047,50 @@ def test_completion_openai_params(model): def test_completion_fireworks_ai(): - try: - litellm.set_verbose = True - messages = [ - {"role": "system", "content": "You're a good bot"}, + """ + Mocked so it does not depend on Fireworks' rotating serverless catalog + (no externally-verifiable model list exists). Asserts the request is + built correctly and the OpenAI-compatible response is parsed back. + """ + litellm.set_verbose = True + messages = [ + {"role": "system", "content": "You're a good bot"}, + {"role": "user", "content": "Hey"}, + ] + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.headers = {"content-type": "application/json"} + mock_response.json.return_value = { + "id": "chatcmpl-test", + "object": "chat.completion", + "created": 1234567890, + "model": "accounts/fireworks/models/deepseek-v3p1", + "choices": [ { - "role": "user", - "content": "Hey", - }, - ] + "index": 0, + "message": {"role": "assistant", "content": "Hello there!"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 10, "completion_tokens": 2, "total_tokens": 12}, + } + mock_response.text = json.dumps(mock_response.json.return_value) + + client = HTTPHandler() + with patch.object(client, "post", return_value=mock_response) as mock_post: response = completion( - model="fireworks_ai/llama-v3p3-70b-instruct", + model="fireworks_ai/accounts/fireworks/models/deepseek-v3p1", messages=messages, + client=client, ) - print(response) - except Exception as e: - pytest.fail(f"Error occurred: {e}") + + mock_post.assert_called_once() + request_body = json.loads(mock_post.call_args.kwargs["data"]) + assert "deepseek-v3p1" in request_body["model"] + assert request_body["messages"] == messages + assert response.choices[0].message.content == "Hello there!" + assert response.usage.total_tokens == 12 @pytest.mark.parametrize( diff --git a/tests/local_testing/test_completion_cost.py b/tests/local_testing/test_completion_cost.py index 618287e1955..cf0c645615d 100644 --- a/tests/local_testing/test_completion_cost.py +++ b/tests/local_testing/test_completion_cost.py @@ -1171,7 +1171,7 @@ from litellm.llms.fireworks_ai.cost_calculator import get_base_model_for_pricing @pytest.mark.parametrize( "model, base_model", [ - ("fireworks_ai/llama-v3p3-70b-instruct", "fireworks-ai-above-16b"), + ("fireworks_ai/llama-v3p1-70b-instruct", "fireworks-ai-above-16b"), ], ) def test_get_model_params_fireworks_ai(model, base_model): @@ -1182,18 +1182,47 @@ def test_get_model_params_fireworks_ai(model, base_model): @pytest.mark.parametrize( "model", [ - "fireworks_ai/llama-v3p3-70b-instruct", + "fireworks_ai/accounts/fireworks/models/deepseek-v3p1", ], ) def test_completion_cost_fireworks_ai(model): + """ + Mocked so it does not depend on Fireworks' rotating serverless catalog. + Validates the Fireworks cost path: a parsed response with usage yields a + non-zero cost against the local cost map. + """ os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" litellm.model_cost = litellm.get_model_cost_map(url="") - messages = [{"role": "user", "content": "Hey, how's it going?"}] - resp = litellm.completion(model=model, messages=messages) # works fine + mock_response_data = { + "id": "chatcmpl-test", + "object": "chat.completion", + "created": 1234567890, + "model": model.split("fireworks_ai/")[-1], + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "Going great, thanks!"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 8, "completion_tokens": 5, "total_tokens": 13}, + } + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.headers = {"content-type": "application/json"} + mock_response.json.return_value = mock_response_data + mock_response.text = json.dumps(mock_response_data) + + sync_handler = HTTPHandler() + messages = [{"role": "user", "content": "Hey, how's it going?"}] + + with patch.object(HTTPHandler, "post", return_value=mock_response): + resp = litellm.completion(model=model, messages=messages, client=sync_handler) - print(resp) cost = completion_cost(completion_response=resp) + assert cost > 0 def test_cost_azure_openai_prompt_caching(): diff --git a/tests/test_litellm/integrations/test_opentelemetry.py b/tests/test_litellm/integrations/test_opentelemetry.py index 3af4a21a60c..87298b5a7a3 100644 --- a/tests/test_litellm/integrations/test_opentelemetry.py +++ b/tests/test_litellm/integrations/test_opentelemetry.py @@ -1,3 +1,4 @@ +import asyncio import json import os import sys @@ -18,7 +19,11 @@ from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import SimpleSpanProcessor from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter -from litellm.integrations.opentelemetry import OpenTelemetry, OpenTelemetryConfig +from litellm.integrations.opentelemetry import ( + OpenTelemetry, + OpenTelemetryConfig, + OTELSemconvCategory, +) from litellm.litellm_core_utils.safe_json_dumps import safe_dumps @@ -545,6 +550,348 @@ class TestOpenTelemetryCaptureMessageContent(unittest.TestCase): self.assertTrue(kept._capture_in_event()) +class TestOpenTelemetrySemconvStability(unittest.TestCase): + """OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental opts into + semconv-conformant span shape (name, kind, no raw_gen_ai_request child).""" + + @staticmethod + def _make(env=None, config_value=None): + env_value = env if env is not None else "" + with patch.dict(os.environ, {"OTEL_SEMCONV_STABILITY_OPT_IN": env_value}): + return OpenTelemetry( + config=OpenTelemetryConfig( + exporter="console", + semconv_stability_opt_in=config_value or set(), + ) + ) + + def test_default_unset_keeps_legacy_span_name(self): + h = self._make() + self.assertFalse(h._gen_ai_semconv_latest_experimental) + kwargs = {"model": "gpt-4", "call_type": "acompletion"} + self.assertEqual(h._get_span_name(kwargs), "litellm_request") + + def test_opt_in_emits_semconv_span_name(self): + h = self._make(env="gen_ai_latest_experimental") + self.assertTrue(h._gen_ai_semconv_latest_experimental) + kwargs = {"model": "gpt-4", "call_type": "acompletion"} + self.assertEqual(h._get_span_name(kwargs), "chat gpt-4") + + def test_opt_in_supports_comma_separated_categories(self): + h = self._make(env="other_category,gen_ai_latest_experimental") + self.assertTrue(h._gen_ai_semconv_latest_experimental) + + def test_opt_in_ignores_unrelated_category(self): + h = self._make(env="some_other_category") + self.assertFalse(h._gen_ai_semconv_latest_experimental) + + def test_config_field_enables_without_env(self): + h = self._make( + env="", config_value={OTELSemconvCategory.GEN_AI_LATEST_EXPERIMENTAL} + ) + self.assertTrue(h._gen_ai_semconv_latest_experimental) + + def test_config_field_unions_with_env(self): + h = self._make( + env="gen_ai_latest_experimental", + config_value={OTELSemconvCategory.GEN_AI_LATEST_EXPERIMENTAL}, + ) + self.assertTrue(h._gen_ai_semconv_latest_experimental) + + def test_operation_name_for_embeddings(self): + h = self._make(env="gen_ai_latest_experimental") + kwargs = { + "model": "text-embedding-3-small", + "call_type": "aembedding", + } + self.assertEqual(h._get_span_name(kwargs), "embeddings text-embedding-3-small") + + def test_operation_name_for_text_completion(self): + h = self._make(env="gen_ai_latest_experimental") + kwargs = {"model": "babbage-002", "call_type": "atext_completion"} + self.assertEqual(h._get_span_name(kwargs), "text_completion babbage-002") + + def test_operation_name_defaults_to_chat(self): + h = self._make(env="gen_ai_latest_experimental") + kwargs = {"model": "claude-sonnet-4-5", "call_type": "unknown"} + self.assertEqual(h._get_span_name(kwargs), "chat claude-sonnet-4-5") + + def test_generation_name_metadata_overrides_semconv_name(self): + h = self._make(env="gen_ai_latest_experimental") + kwargs = { + "model": "gpt-4", + "call_type": "acompletion", + "litellm_params": {"metadata": {"generation_name": "user-named-span"}}, + } + self.assertEqual(h._get_span_name(kwargs), "user-named-span") + + def test_opt_in_skips_raw_gen_ai_request_span(self): + h = self._make(env="gen_ai_latest_experimental") + h._maybe_log_raw_request = OpenTelemetry._maybe_log_raw_request.__get__(h) + h.tracer = MagicMock() + h.set_raw_request_attributes = MagicMock() + kwargs = {"litellm_params": {"metadata": {}}} + h._maybe_log_raw_request(kwargs, {}, None, None, MagicMock()) + h.tracer.start_span.assert_not_called() + + def test_semconv_request_attributes_emit_when_present(self): + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + optional_params = { + "frequency_penalty": 0.5, + "presence_penalty": 0.2, + "top_k": 40, + "seed": 42, + "stop": ["\n\n"], + "stream": True, + "n": 3, + } + h._set_semconv_request_attributes(span, optional_params) + calls = { + c.args[0] if c.args else c.kwargs.get("key"): c + for c in span.set_attribute.call_args_list + } + self.assertIn("gen_ai.request.frequency_penalty", calls) + self.assertIn("gen_ai.request.presence_penalty", calls) + self.assertIn("gen_ai.request.top_k", calls) + self.assertIn("gen_ai.request.seed", calls) + self.assertIn("gen_ai.request.stop_sequences", calls) + self.assertIn("gen_ai.request.stream", calls) + self.assertIn("gen_ai.request.choice.count", calls) + + def test_semconv_request_choice_count_omitted_when_one(self): + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + h._set_semconv_request_attributes(span, {"n": 1}) + keys = {c.args[0] for c in span.set_attribute.call_args_list if c.args} + self.assertNotIn("gen_ai.request.choice.count", keys) + + def test_semconv_request_choice_count_omitted_for_invalid_n(self): + # n must be a valid count (int > 1); 0/negative/non-int are suppressed. + h = self._make(env="gen_ai_latest_experimental") + for bad_n in (0, -1, "2", 2.0): + span = MagicMock() + h._set_semconv_request_attributes(span, {"n": bad_n}) + keys = {c.args[0] for c in span.set_attribute.call_args_list if c.args} + self.assertNotIn( + "gen_ai.request.choice.count", keys, f"n={bad_n!r} should be omitted" + ) + + def _stream_calls(self, span): + return [ + c + for c in span.set_attribute.call_args_list + if c.args and c.args[0] == "gen_ai.request.stream" + ] + + def test_semconv_request_stream_emitted_as_bool_when_streaming(self): + # Conditionally required per spec: present (as bool True) only when streaming. + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + h._set_semconv_request_attributes(span, {"stream": True}) + stream_calls = self._stream_calls(span) + self.assertEqual(len(stream_calls), 1) + self.assertIs(stream_calls[0].args[1], True) + + def test_semconv_request_stream_omitted_when_not_streaming(self): + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + h._set_semconv_request_attributes(span, {"stream": False}) + self.assertEqual(self._stream_calls(span), []) + + def test_semconv_request_stop_sequences_normalizes_string_to_list(self): + # Spec types gen_ai.request.stop_sequences as string[]; a scalar stop + # is wrapped, and the value is a real list (not a JSON-encoded string). + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + h._set_semconv_request_attributes(span, {"stop": "STOP_TOKEN"}) + stop_calls = [ + c + for c in span.set_attribute.call_args_list + if c.args and c.args[0] == "gen_ai.request.stop_sequences" + ] + self.assertEqual(len(stop_calls), 1) + self.assertEqual(stop_calls[0].args[1], ["STOP_TOKEN"]) + + def test_semconv_cache_token_attributes(self): + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + std_log = { + "metadata": { + "usage_object": { + "cache_creation_input_tokens": 12, + "cache_read_input_tokens": 34, + } + } + } + h._set_semconv_cache_token_attributes(span, std_log) + keys = { + c.args[0]: c.args[1] for c in span.set_attribute.call_args_list if c.args + } + self.assertEqual(keys.get("gen_ai.usage.cache_creation.input_tokens"), 12) + self.assertEqual(keys.get("gen_ai.usage.cache_read.input_tokens"), 34) + + def test_semconv_cache_token_attributes_handles_none_metadata(self): + # standard_logging_payload["metadata"] = None should not crash. + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + h._set_semconv_cache_token_attributes(span, {"metadata": None}) + span.set_attribute.assert_not_called() + + def test_semconv_cache_token_attributes_omitted_when_zero(self): + h = self._make(env="gen_ai_latest_experimental") + span = MagicMock() + std_log = { + "metadata": { + "usage_object": { + "cache_creation_input_tokens": 0, + "cache_read_input_tokens": 0, + } + } + } + h._set_semconv_cache_token_attributes(span, std_log) + keys = {c.args[0] for c in span.set_attribute.call_args_list if c.args} + self.assertNotIn("gen_ai.usage.cache_creation.input_tokens", keys) + self.assertNotIn("gen_ai.usage.cache_read.input_tokens", keys) + + def _set_attributes_keys(self, h): + """Run set_attributes with a minimal chat payload; return {key: value}.""" + span = MagicMock() + kwargs = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "test-id", + "call_type": "completion", + "metadata": {}, + }, + } + response_obj = {"id": "r", "model": "gpt-4", "choices": []} + h.set_attributes(span=span, kwargs=kwargs, response_obj=response_obj) + return { + c.args[0]: c.args[1] for c in span.set_attribute.call_args_list if c.args + } + + def test_semconv_mode_emits_provider_name_not_system(self): + # Latest-experimental semconv replaced gen_ai.system with + # gen_ai.provider.name; only the conformant key is emitted. + keys = self._set_attributes_keys(self._make(env="gen_ai_latest_experimental")) + self.assertEqual(keys.get("gen_ai.provider.name"), "openai") + self.assertNotIn("gen_ai.system", keys) + + def test_legacy_mode_emits_system_not_provider_name(self): + keys = self._set_attributes_keys(self._make()) + self.assertEqual(keys.get("gen_ai.system"), "openai") + self.assertNotIn("gen_ai.provider.name", keys) + + def test_opt_in_emits_consolidated_inference_details_event(self): + from opentelemetry import _logs + from opentelemetry._logs._internal import ProxyLoggerProvider + + log_exporter = InMemoryLogExporter() + # Make _init_logs see a non-SDK global (the proxy default) so it + # falls into the create_new branch and consults _get_log_exporter, + # which we patch to return our in-memory exporter. + with ( + patch.dict( + os.environ, + {"OTEL_SEMCONV_STABILITY_OPT_IN": "gen_ai_latest_experimental"}, + ), + patch.object( + _logs, "get_logger_provider", return_value=ProxyLoggerProvider() + ), + patch.object(_logs, "set_logger_provider"), + patch.object(OpenTelemetry, "_get_log_exporter", return_value=log_exporter), + ): + h = OpenTelemetry( + config=OpenTelemetryConfig(exporter="console", enable_events=True) + ) + h.message_logging = True + + kwargs = { + "model": "gpt-4", + "call_type": "acompletion", + "messages": [{"role": "user", "content": "hi"}], + "litellm_params": {"custom_llm_provider": "openai"}, + } + response_obj = { + "choices": [ + { + "message": {"role": "assistant", "content": "hello"}, + "finish_reason": "stop", + } + ] + } + span = h.tracer.start_span("test") + h._emit_semantic_logs(kwargs, response_obj, span) + span.end() + h._logger_provider.force_flush(2000) + + records = [r.log_record for r in log_exporter.get_finished_logs()] + # Exactly ONE inference details event, not the legacy per-message/choice pair. + self.assertEqual(len(records), 1) + attrs = dict(records[0].attributes or {}) + self.assertEqual( + attrs["event_name"], "gen_ai.client.inference.operation.details" + ) + self.assertEqual(attrs["gen_ai.provider.name"], "openai") + self.assertEqual(attrs["gen_ai.operation.name"], "chat") + self.assertIn("gen_ai.input.messages", attrs) + self.assertIn("gen_ai.output.messages", attrs) + + def test_opt_in_inference_details_respects_content_kill_switch(self): + from opentelemetry import _logs + from opentelemetry._logs._internal import ProxyLoggerProvider + + log_exporter = InMemoryLogExporter() + with ( + patch.dict( + os.environ, + {"OTEL_SEMCONV_STABILITY_OPT_IN": "gen_ai_latest_experimental"}, + ), + patch("litellm.turn_off_message_logging", True), + patch.object( + _logs, "get_logger_provider", return_value=ProxyLoggerProvider() + ), + patch.object(_logs, "set_logger_provider"), + patch.object(OpenTelemetry, "_get_log_exporter", return_value=log_exporter), + ): + h = OpenTelemetry( + config=OpenTelemetryConfig(exporter="console", enable_events=True) + ) + h.message_logging = True + + kwargs = { + "model": "gpt-4", + "call_type": "acompletion", + "messages": [{"role": "user", "content": "private prompt"}], + "litellm_params": {"custom_llm_provider": "openai"}, + } + response_obj = { + "choices": [ + { + "message": { + "role": "assistant", + "content": "private completion", + }, + "finish_reason": "stop", + } + ] + } + span = h.tracer.start_span("test") + h._emit_semantic_logs(kwargs, response_obj, span) + span.end() + h._logger_provider.force_flush(2000) + + records = [r.log_record for r in log_exporter.get_finished_logs()] + self.assertEqual(len(records), 1) + attrs = dict(records[0].attributes or {}) + self.assertNotIn("gen_ai.input.messages", attrs) + self.assertNotIn("gen_ai.output.messages", attrs) + + class TestOpenTelemetry(unittest.TestCase): POLL_INTERVAL = 0.05 POLL_TIMEOUT = 2.0 @@ -4279,3 +4626,317 @@ class TestOpenTelemetrySpanDedupe(unittest.TestCase): 2, f"Two distinct guardrail invocations expected, got {len(guardrail_spans)}", ) + + +class TestOpenTelemetryHttpStatusCodeAttribute(unittest.TestCase): + """PR 1: the failure recorder also exposes the HTTP status under the + OTel-standard ``http.response.status_code`` (as an int), while keeping the + legacy ``error.code`` for back-compat and leaving span status untouched. + """ + + def _record(self, error_information): + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + tracer = provider.get_tracer(__name__) + + otel = OpenTelemetry() + span = tracer.start_span("Received Proxy Server Request") + kwargs = { + "exception": ValueError("boom"), + "standard_logging_object": {"error_information": error_information}, + } + otel._record_exception_on_span(span=span, kwargs=kwargs) + span.end() + + finished = exporter.get_finished_spans() + assert len(finished) == 1 + return finished[0] + + def test_401_sets_int_status_code_and_error_type(self): + span = self._record({"error_code": "401", "error_class": "AuthenticationError"}) + assert span.attributes["http.response.status_code"] == 401 + assert isinstance(span.attributes["http.response.status_code"], int) + assert span.attributes["error.type"] == "AuthenticationError" + + def test_429_terminal(self): + span = self._record({"error_code": "429"}) + assert span.attributes["http.response.status_code"] == 429 + + def test_500_sets_status_code_and_records_exception_event(self): + span = self._record({"error_code": "500"}) + assert span.attributes["http.response.status_code"] == 500 + assert any(e.name == "exception" for e in span.events) + + def test_legacy_error_code_still_present_no_regression(self): + span = self._record({"error_code": "401"}) + assert span.attributes["error.code"] == "401" + + def test_non_numeric_error_code_omits_status_code(self): + span = self._record({"error_code": "ContextWindowExceeded"}) + assert "http.response.status_code" not in span.attributes + # legacy attribute still set so existing dashboards don't regress + assert span.attributes["error.code"] == "ContextWindowExceeded" + + def test_empty_error_code_omits_status_code(self): + span = self._record({"error_code": ""}) + assert "http.response.status_code" not in span.attributes + + def test_recorder_does_not_touch_span_status(self): + span = self._record({"error_code": "401"}) + assert span.status.status_code == trace.StatusCode.UNSET + + +class TestOpenTelemetryFailureHookStampsServerSpan(unittest.TestCase): + """Error attributes must land on the SERVER span dashboards query. + ``_handle_failure`` records on the litellm_request child span, so + ``async_post_call_failure_hook`` — which holds the SERVER span via + ``user_api_key_dict.parent_otel_span`` — is where it gets stamped. + """ + + def _run_hook(self, exception): + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + tracer = provider.get_tracer(__name__) + + otel = OpenTelemetry() + otel.tracer = tracer + server_span = tracer.start_span("Received Proxy Server Request") + + user_api_key_dict = MagicMock() + user_api_key_dict.parent_otel_span = server_span + + asyncio.run( + otel.async_post_call_failure_hook( + request_data={}, + original_exception=exception, + user_api_key_dict=user_api_key_dict, + traceback_str="trace", + ) + ) + + finished = {s.name: s for s in exporter.get_finished_spans()} + assert "Received Proxy Server Request" in finished + return finished["Received Proxy Server Request"] + + def test_server_span_gets_int_status_code_and_error_type(self): + class _Boom(Exception): + status_code = 500 + + span = self._run_hook(_Boom("upstream blew up")) + assert span.attributes["http.response.status_code"] == 500 + assert isinstance(span.attributes["http.response.status_code"], int) + assert span.attributes["error.type"] == "_Boom" + assert span.attributes["error.code"] == "500" # legacy, string + assert span.status.status_code == trace.StatusCode.ERROR + + def test_non_numeric_code_omits_status_code_no_crash(self): + class _Boom(Exception): + code = "ContextWindowExceeded" + + span = self._run_hook(_Boom("bad")) + assert "http.response.status_code" not in span.attributes + assert span.attributes["error.code"] == "ContextWindowExceeded" + + def test_no_parent_span_is_noop(self): + otel = OpenTelemetry() + otel.tracer = MagicMock() + user_api_key_dict = MagicMock() + user_api_key_dict.parent_otel_span = None + # Must not raise when there is no SERVER span (e.g. pre-auth 401). + asyncio.run( + otel.async_post_call_failure_hook( + request_data={}, + original_exception=ValueError("x"), + user_api_key_dict=user_api_key_dict, + traceback_str=None, + ) + ) + + +class TestOpenTelemetrySetProxyRequestRouteAttributes(unittest.TestCase): + """http.route (template) + url.path (literal) must land on the SERVER + span. The logging handlers write the litellm_request child span, so + this is set from the auth path on the freshly-created SERVER span. + """ + + def _set(self, **kwargs): + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + tracer = provider.get_tracer(__name__) + + otel = OpenTelemetry() + span = tracer.start_span("Received Proxy Server Request") + otel.set_proxy_request_route_attributes(span, **kwargs) + span.end() + return exporter.get_finished_spans()[0] + + def test_sets_named_template_and_literal(self): + span = self._set( + url_path="/v1/threads/abc123/runs", + http_route="/v1/threads/{thread_id}/runs", + ) + # Exact OTel-standard names — NOT metadata.* (naming regression guard). + assert span.attributes["url.path"] == "/v1/threads/abc123/runs" + assert span.attributes["http.route"] == "/v1/threads/{thread_id}/runs" + assert span.attributes["http.route"] != span.attributes["url.path"] + assert "metadata.http_route" not in span.attributes + + def test_flat_route_template_equals_literal(self): + span = self._set( + url_path="/v1/chat/completions", + http_route="/v1/chat/completions", + ) + assert span.attributes["http.route"] == "/v1/chat/completions" + assert span.attributes["url.path"] == "/v1/chat/completions" + + def test_missing_http_route_omits_only_that_attribute(self): + span = self._set(url_path="/v1/chat/completions", http_route=None) + assert span.attributes["url.path"] == "/v1/chat/completions" + assert "http.route" not in span.attributes + + def test_missing_both_sets_nothing(self): + span = self._set(url_path=None, http_route=None) + assert "url.path" not in span.attributes + assert "http.route" not in span.attributes + + def test_none_span_is_noop(self): + otel = OpenTelemetry() + # Mirrors the Langfuse-override path (create span returns None). + otel.set_proxy_request_route_attributes(None, url_path="/x", http_route="/x") + + +class TestOpenTelemetrySetResponseStatusCodeAttribute(unittest.TestCase): + """http.response.status_code must land on the SERVER span on the + success path too (failure path sets it in _record_exception_on_span). + Without this the attribute is failure-only, so error-ratio / + status-breakdown dashboards have no 2xx bucket. + """ + + def _set(self, status_code): + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + tracer = provider.get_tracer(__name__) + + otel = OpenTelemetry() + span = tracer.start_span("Received Proxy Server Request") + otel.set_response_status_code_attribute(span, status_code) + span.end() + return exporter.get_finished_spans()[0] + + def test_success_sets_int_200(self): + span = self._set(200) + # Exact OTel-standard name, stored as int (regression guard). + assert span.attributes["http.response.status_code"] == 200 + assert isinstance(span.attributes["http.response.status_code"], int) + + def test_none_status_code_omits_attribute(self): + span = self._set(None) + assert "http.response.status_code" not in span.attributes + + def test_none_span_is_noop(self): + otel = OpenTelemetry() + # Mirrors the Langfuse-override path (create span returns None). + otel.set_response_status_code_attribute(None, 200) + + +class TestOpenTelemetryPreprocessingDuration(unittest.TestCase): + """litellm.preprocessing.duration_ms (proxy-receive -> first provider + handoff) on the SERVER span. Read from container metadata so the + success (model_call_details) and failure (request_data) paths work + uniformly. Excludes retries via the set-once first_api_call_start_time. + """ + + def _span(self): + exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(exporter)) + tracer = provider.get_tracer(__name__) + return tracer.start_span("Received Proxy Server Request"), exporter + + def _attr(self, span, exporter): + span.end() + return exporter.get_finished_spans()[0].attributes + + def test_success_shape_model_call_details(self): + # success path: first_api_call_start_time top-level, + # received-at under litellm_params.metadata + received = datetime(2026, 1, 1, 0, 0, 0) + handoff = datetime(2026, 1, 1, 0, 0, 0, 250000) # +250ms + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute( + span, + { + "first_api_call_start_time": handoff, + "litellm_params": {"metadata": {"litellm_received_at": received}}, + }, + ) + attrs = self._attr(span, exp) + self.assertAlmostEqual( + attrs["litellm.preprocessing.duration_ms"], 250.0, places=1 + ) + + def test_failure_shape_request_data(self): + # failure path: request_data with first_api_call_start_time lifted + # to the TOP LEVEL by the proxy (off the logging object, before it + # is popped) and received-at riding the metadata variable. The + # user metadata sub-dict is never used for the handoff anchor. + received = datetime(2026, 1, 1, 0, 0, 0) + handoff = datetime(2026, 1, 1, 0, 0, 0, 30000) # +30ms + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute( + span, + { + "first_api_call_start_time": handoff, + "metadata": {"litellm_received_at": received}, + }, + ) + attrs = self._attr(span, exp) + self.assertAlmostEqual( + attrs["litellm.preprocessing.duration_ms"], 30.0, places=1 + ) + + def test_missing_received_at_omits(self): + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute( + span, {"first_api_call_start_time": datetime(2026, 1, 1)} + ) + assert "litellm.preprocessing.duration_ms" not in self._attr(span, exp) + + def test_missing_handoff_omits(self): + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute( + span, {"metadata": {"litellm_received_at": datetime(2026, 1, 1)}} + ) + assert "litellm.preprocessing.duration_ms" not in self._attr(span, exp) + + def test_negative_duration_omitted(self): + # clock skew: handoff before receive -> omit, not a negative value + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute( + span, + { + "first_api_call_start_time": datetime(2026, 1, 1, 0, 0, 0), + "metadata": {"litellm_received_at": datetime(2026, 1, 1, 0, 0, 5)}, + }, + ) + assert "litellm.preprocessing.duration_ms" not in self._attr(span, exp) + + def test_none_span_is_noop(self): + OpenTelemetry().set_preprocessing_duration_attribute( + None, {"first_api_call_start_time": datetime(2026, 1, 1)} + ) + + def test_non_dict_container_is_noop(self): + otel = OpenTelemetry() + span, exp = self._span() + otel.set_preprocessing_duration_attribute(span, None) + assert "litellm.preprocessing.duration_ms" not in self._attr(span, exp) diff --git a/tests/test_litellm/interactions/test_openapi_compliance.py b/tests/test_litellm/interactions/test_openapi_compliance.py index 11d61d4c82e..1d3b6b8ae1e 100644 --- a/tests/test_litellm/interactions/test_openapi_compliance.py +++ b/tests/test_litellm/interactions/test_openapi_compliance.py @@ -153,12 +153,13 @@ class TestResponseCompliance: def test_interaction_response_fields(self, spec_dict): """Verify our InteractionsAPIResponse has correct fields.""" - # The response is the Interaction schema - # Check CreateModelInteractionParams which includes output fields - schema = spec_dict["components"]["schemas"]["CreateModelInteractionParams"] + # The response is the dedicated `Interaction` schema. Google moved the + # output-only fields (notably the `steps` array, formerly `outputs`) + # off `CreateModelInteractionParams` and onto `Interaction`; the request + # schema no longer carries `steps`. Keep this aligned with the live spec. + schema = spec_dict["components"]["schemas"]["Interaction"] - # Output fields (readOnly). Google renamed `outputs` → `steps` in the - # upstream spec; keep this list aligned with the live schema. + # Output fields (readOnly). output_fields = [ "id", "status", @@ -175,7 +176,8 @@ class TestResponseCompliance: def test_status_enum_values(self, spec_dict): """Verify status enum values match spec.""" - schema = spec_dict["components"]["schemas"]["CreateModelInteractionParams"] + # `status` is an output-only field; validate against the response schema. + schema = spec_dict["components"]["schemas"]["Interaction"] status_prop = schema["properties"]["status"] # Google Interactions API uses lowercase status values (updated Feb 2026) expected_statuses = [ diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py index e84baf5e137..c6961477a58 100644 --- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py +++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py @@ -2685,3 +2685,50 @@ def test_success_handler_unified_helper_runs_for_typed_results(): ) mock_calc.assert_called_once() assert logging_obj.model_call_details["response_cost"] == expected_cost + + +class TestFirstApiCallStartTimeSetOnce: + """first_api_call_start_time pins the FIRST provider handoff so + preprocessing latency excludes retries/backoff (api_call_start_time is + overwritten on every attempt). It is set ONLY on the logging object's + model_call_details. It must never be written into + litellm_params["metadata"] — that is the caller's request metadata, + echoed back into provider request bodies, spend logs, and batch + objects (typed Dict[str, str]); a datetime there breaks them. The + proxy failure path lifts it off the logging object into request_data + separately (see proxy/utils.py), not via this dict. + """ + + def _logging_obj(self): + obj = LitellmLogging( + model="gpt-4", + messages=[{"role": "user", "content": "hi"}], + stream=False, + call_type="completion", + start_time=time.time(), + litellm_call_id="set-once-1", + function_id="f1", + ) + obj.model_call_details["litellm_params"] = {"metadata": {}} + return obj + + def test_set_once_survives_retry_and_never_touches_user_metadata(self): + obj = self._logging_obj() + user_meta = obj.model_call_details["litellm_params"]["metadata"] + + obj.pre_call(input="hi", api_key="sk-test") + first = obj.model_call_details["first_api_call_start_time"] + assert first == obj.model_call_details["api_call_start_time"] + # Set on the logging object only — user metadata untouched. + assert user_meta == {} + assert ( + "first_api_call_start_time" not in obj.model_call_details["litellm_params"] + ) + + time.sleep(0.002) # ensure a distinct retry timestamp + obj.pre_call(input="hi", api_key="sk-test") + + # retry advanced api_call_start_time but NOT first_api_call_start_time + assert obj.model_call_details["api_call_start_time"] > first + assert obj.model_call_details["first_api_call_start_time"] == first + assert user_meta == {} diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py index 581324d47d2..b06cc7f0f12 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py @@ -1278,6 +1278,188 @@ def test_xff_misconfig_warning_emitted_once(caplog): ), f"expected exactly one warning, got {len(matching)}: {[r.getMessage() for r in matching]}" +def test_get_request_base_url_honors_proxy_base_url_env(monkeypatch): + try: + from fastapi import Request + + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + get_request_base_url, + ) + except ImportError: + pytest.skip("MCP discoverable endpoints not available") + + mock_request = MagicMock(spec=Request) + mock_request.base_url = "http://litellm-internal:4000/" + mock_request.client = MagicMock() + mock_request.client.host = "10.0.0.7" + headers = { + "X-Forwarded-Proto": "https", + "X-Forwarded-Host": "litellm-internal:4000", + "X-Forwarded-Port": "9999", + } + mock_request.headers.get = lambda name, default=None: headers.get(name, default) + + monkeypatch.setenv("PROXY_BASE_URL", "https://litellm.example.com") + assert get_request_base_url(mock_request) == "https://litellm.example.com" + + monkeypatch.setenv("PROXY_BASE_URL", "https://litellm.example.com/") + assert get_request_base_url(mock_request) == "https://litellm.example.com" + + +def test_validate_trusted_redirect_uri_logs_diagnostic_on_rejection( + caplog, monkeypatch +): + try: + from fastapi import HTTPException, Request + + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + except ImportError: + pytest.skip("MCP oauth_utils not available") + + monkeypatch.delenv("PROXY_BASE_URL", raising=False) + monkeypatch.delenv("MCP_TRUSTED_REDIRECT_ORIGINS", raising=False) + + mock_request = MagicMock(spec=Request) + mock_request.base_url = "http://litellm-internal:4000/" + mock_request.client = MagicMock() + mock_request.client.host = "203.0.113.5" + headers = { + "X-Forwarded-Proto": "https", + "X-Forwarded-Host": "litellm.example.com", + "X-Forwarded-Port": "443", + "Host": "litellm-internal:4000", + } + mock_request.headers.get = lambda name, default=None: headers.get(name, default) + + import logging + + with ( + caplog.at_level(logging.WARNING, logger="LiteLLM"), + patch("litellm.proxy.proxy_server.general_settings", {}, create=True), + ): + with pytest.raises(HTTPException) as exc_info: + validate_trusted_redirect_uri( + mock_request, + "https://litellm.example.com/ui/mcp/oauth/callback", + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail == "invalid_request" + + matching = [r for r in caplog.records if "rejecting redirect_uri" in r.getMessage()] + assert len(matching) == 1, ( + "expected exactly one diagnostic warning, got " + f"{[r.getMessage() for r in caplog.records]}" + ) + msg = matching[0].getMessage() + assert "https://litellm.example.com/ui/mcp/oauth/callback" in msg + assert "litellm-internal:4000" in msg + assert "X-Forwarded-Host" in msg + + +@pytest.mark.parametrize( + "bad_value", + [ + "litellm.example.com", + "litellm.example.com/", + "://litellm.example.com", + "ftp://litellm.example.com", + "https://", + "not a url at all", + ], +) +def test_get_request_base_url_rejects_malformed_proxy_base_url( + bad_value, monkeypatch, caplog +): + try: + from fastapi import Request + + from litellm.proxy._experimental.mcp_server import oauth_utils + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + get_request_base_url, + ) + except ImportError: + pytest.skip("MCP oauth_utils not available") + + oauth_utils._warned_invalid_proxy_base_url = None + + mock_request = MagicMock(spec=Request) + mock_request.base_url = "http://litellm-internal:4000/" + mock_request.client = MagicMock() + mock_request.client.host = "127.0.0.1" + mock_request.headers.get = lambda name, default=None: default + + monkeypatch.setenv("PROXY_BASE_URL", bad_value) + + import logging + + with ( + caplog.at_level(logging.WARNING, logger="LiteLLM"), + patch("litellm.proxy.proxy_server.general_settings", {}, create=True), + ): + result = get_request_base_url(mock_request) + + assert result == "http://litellm-internal:4000", ( + f"malformed PROXY_BASE_URL={bad_value!r} should be ignored, " f"got {result!r}" + ) + matching = [ + r + for r in caplog.records + if "PROXY_BASE_URL" in r.getMessage() and "ignored" in r.getMessage() + ] + assert len(matching) == 1, ( + "expected one diagnostic for malformed PROXY_BASE_URL, got " + f"{[r.getMessage() for r in caplog.records]}" + ) + assert ( + repr(bad_value) in matching[0].getMessage() + or bad_value in matching[0].getMessage() + ) + + +def test_get_request_base_url_malformed_proxy_base_url_warning_is_one_shot( + monkeypatch, caplog +): + try: + from fastapi import Request + + from litellm.proxy._experimental.mcp_server import oauth_utils + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + get_request_base_url, + ) + except ImportError: + pytest.skip("MCP oauth_utils not available") + + oauth_utils._warned_invalid_proxy_base_url = None + + mock_request = MagicMock(spec=Request) + mock_request.base_url = "http://litellm-internal:4000/" + mock_request.client = MagicMock() + mock_request.client.host = "127.0.0.1" + mock_request.headers.get = lambda name, default=None: default + + monkeypatch.setenv("PROXY_BASE_URL", "litellm.example.com") + + import logging + + with ( + caplog.at_level(logging.WARNING, logger="LiteLLM"), + patch("litellm.proxy.proxy_server.general_settings", {}, create=True), + ): + for _ in range(5): + get_request_base_url(mock_request) + + matching = [ + r + for r in caplog.records + if "PROXY_BASE_URL" in r.getMessage() and "ignored" in r.getMessage() + ] + assert ( + len(matching) == 1 + ), f"expected exactly one warning across 5 calls, got {len(matching)}" + + # ------------------------------------------------------------------- # Tests for scopes_supported when mcp_server.scopes is None # ------------------------------------------------------------------- diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py index 70e8812c99a..08035fb7173 100644 --- a/tests/test_litellm/proxy/auth/test_auth_utils.py +++ b/tests/test_litellm/proxy/auth/test_auth_utils.py @@ -19,6 +19,7 @@ from litellm.proxy.auth.auth_utils import ( get_model_from_request, get_project_model_rpm_limit, get_project_model_tpm_limit, + get_request_route_template, is_request_body_safe, ) @@ -1573,3 +1574,44 @@ class TestPricingInjectionBlocked: ) is True ) + + +class TestGetRequestRouteTemplate: + """get_request_route_template returns the low-cardinality FastAPI route + template (e.g. /v1/threads/{thread_id}/runs) for http.route, distinct + from the literal url.path. None when unavailable.""" + + def _request(self, scope): + req = MagicMock() + req.scope = scope + return req + + def test_returns_route_template(self): + route = MagicMock() + route.path = "/v1/threads/{thread_id}/runs" + req = self._request({"route": route, "path": "/v1/threads/abc123/runs"}) + # template, not the literal path — two thread IDs share this value + assert get_request_route_template(req) == "/v1/threads/{thread_id}/runs" + + def test_scope_not_dict_returns_none(self): + assert get_request_route_template(self._request("not-a-dict")) is None + + def test_no_route_in_scope_returns_none(self): + assert get_request_route_template(self._request({"path": "/x"})) is None + + def test_route_without_str_path_returns_none(self): + route = MagicMock() + route.path = 12345 # not a str + assert get_request_route_template(self._request({"route": route})) is None + + def test_route_with_empty_path_returns_none(self): + route = MagicMock() + route.path = "" + assert get_request_route_template(self._request({"route": route})) is None + + def test_exception_returns_none(self): + req = MagicMock() + type(req).scope = property( + lambda self: (_ for _ in ()).throw(RuntimeError("boom")) + ) + assert get_request_route_template(req) is None diff --git a/tests/test_litellm/proxy/db/test_db_url_settings.py b/tests/test_litellm/proxy/db/test_db_url_settings.py new file mode 100644 index 00000000000..9e348c3988f --- /dev/null +++ b/tests/test_litellm/proxy/db/test_db_url_settings.py @@ -0,0 +1,271 @@ +"""Tests for ``DatabaseURLSettings``. + +The model assembles ``DATABASE_URL`` (and optionally +``DATABASE_URL_READ_REPLICA``) from the discrete ``DATABASE_*`` env vars +emitted by the ``helm/litellm`` chart, before Prisma initializes. It covers +both IAM auth (mint a short-lived token) and password auth, for both the +writer and the read replica. + +The reader URL is opt-in via ``DATABASE_HOST_READ_REPLICA`` and must not +clobber a pre-existing ``DATABASE_URL_READ_REPLICA``. A pre-existing +``DATABASE_URL`` (password auth) is likewise left untouched. +""" + +import os +from unittest.mock import patch + +import pytest + +from litellm.proxy.db.db_url_settings import DatabaseURLSettings + + +def _apply() -> bool: + """Run the production call path: load from env, write to env.""" + return DatabaseURLSettings.from_env().apply_to_env() + + +@pytest.fixture(autouse=True) +def _scrub_db_env(monkeypatch): + """Remove every env var the model reads so tests start from a clean slate.""" + for var in ( + "IAM_TOKEN_DB_AUTH", + "DATABASE_URL", + "DATABASE_URL_READ_REPLICA", + "DATABASE_HOST", + "DATABASE_PORT", + "DATABASE_USER", + "DATABASE_USERNAME", + "DATABASE_NAME", + "DATABASE_SCHEMA", + "DATABASE_PASSWORD", + "DATABASE_HOST_READ_REPLICA", + "DATABASE_PORT_READ_REPLICA", + "DATABASE_USER_READ_REPLICA", + "DATABASE_USERNAME_READ_REPLICA", + "DATABASE_NAME_READ_REPLICA", + "DATABASE_SCHEMA_READ_REPLICA", + "DATABASE_PASSWORD_READ_REPLICA", + ): + monkeypatch.delenv(var, raising=False) + + +def _stub_iam_token(token: str = "FAKE_TOKEN"): + """Patch the AWS-touching token mint so tests don't need boto3 / network.""" + return patch( + "litellm.proxy.auth.rds_iam_token.generate_iam_auth_token", + return_value=token, + ) + + +# --------------------------------------------------------------------------- +# IAM auth +# --------------------------------------------------------------------------- + + +def test_returns_false_when_nothing_configured(monkeypatch): + """No env mutation, no error — just a False return.""" + assert _apply() is False + assert "DATABASE_URL" not in os.environ + + +def test_assembles_writer_url_when_iam_enabled(monkeypatch): + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + + with _stub_iam_token("WRITER_TOKEN"): + assert _apply() is True + + assert ( + os.environ["DATABASE_URL"] + == "postgresql://litellm:WRITER_TOKEN@writer.example.com:5432/litellm_db" + ) + # Reader was never configured, so it must not have been set. + assert "DATABASE_URL_READ_REPLICA" not in os.environ + + +def test_missing_writer_envs_raises(monkeypatch): + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + # DATABASE_HOST intentionally unset. + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + + with pytest.raises(RuntimeError, match="DATABASE_HOST"): + _apply() + + +def test_reader_url_assembled_when_host_set_and_url_unset(monkeypatch): + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_HOST_READ_REPLICA", "reader.example.com") + + with _stub_iam_token("READER_TOKEN"): + _apply() + + assert ( + os.environ["DATABASE_URL_READ_REPLICA"] + == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db" + ) + + +def test_reader_url_not_clobbered_when_already_set(monkeypatch): + """If the operator pinned DATABASE_URL_READ_REPLICA (e.g. a non-IAM + reader), the model must leave it untouched even though + DATABASE_HOST_READ_REPLICA is also set.""" + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_HOST_READ_REPLICA", "reader.example.com") + monkeypatch.setenv( + "DATABASE_URL_READ_REPLICA", + "postgresql://app:secret@reader.example.com:5432/litellm_db", + ) + + with _stub_iam_token("READER_TOKEN"): + _apply() + + assert ( + os.environ["DATABASE_URL_READ_REPLICA"] + == "postgresql://app:secret@reader.example.com:5432/litellm_db" + ) + + +def test_reader_url_skipped_when_host_unset(monkeypatch): + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + + with _stub_iam_token("WRITER_TOKEN"): + _apply() + + assert "DATABASE_URL_READ_REPLICA" not in os.environ + + +def test_reader_field_fallbacks_default_to_writer_values(monkeypatch): + """When *_READ_REPLICA fields are unset (other than host), they fall + back to the writer's user / name / schema.""" + monkeypatch.setenv("IAM_TOKEN_DB_AUTH", "true") + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_SCHEMA", "public") + monkeypatch.setenv("DATABASE_HOST_READ_REPLICA", "reader.example.com") + + with _stub_iam_token("READER_TOKEN"): + _apply() + + assert ( + os.environ["DATABASE_URL_READ_REPLICA"] + == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db?schema=public" + ) + + +# --------------------------------------------------------------------------- +# Password auth +# --------------------------------------------------------------------------- + + +def test_assembles_writer_url_from_password(monkeypatch): + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "s3cr3t") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL"] + == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db" + ) + + +def test_writer_password_is_percent_encoded(monkeypatch): + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "p@ss/w:rd") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL"] + == "postgresql://litellm:p%40ss%2Fw%3Ard@writer.example.com:5432/litellm_db" + ) + + +def test_writer_url_not_clobbered_when_already_set(monkeypatch): + """An operator-pinned DATABASE_URL (e.g. helm's $(VAR) assembly) always + wins over the discrete fields.""" + monkeypatch.setenv( + "DATABASE_URL", "postgresql://pinned:url@db.example.com:5432/litellm_db" + ) + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "s3cr3t") + + assert _apply() is False + assert ( + os.environ["DATABASE_URL"] + == "postgresql://pinned:url@db.example.com:5432/litellm_db" + ) + + +def test_writer_url_passwordless(monkeypatch): + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL"] + == "postgresql://litellm@writer.example.com:5432/litellm_db" + ) + + +def test_database_username_alias(monkeypatch): + """DATABASE_USERNAME is accepted as an alias for DATABASE_USER (parity + with construct_database_url_from_env_vars).""" + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USERNAME", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "s3cr3t") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL"] + == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db" + ) + + +def test_password_reader_falls_back_to_writer_password(monkeypatch): + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "s3cr3t") + monkeypatch.setenv("DATABASE_HOST_READ_REPLICA", "reader.example.com") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL_READ_REPLICA"] + == "postgresql://litellm:s3cr3t@reader.example.com:5432/litellm_db" + ) + + +def test_password_reader_uses_own_credentials(monkeypatch): + monkeypatch.setenv("DATABASE_HOST", "writer.example.com") + monkeypatch.setenv("DATABASE_USER", "litellm") + monkeypatch.setenv("DATABASE_NAME", "litellm_db") + monkeypatch.setenv("DATABASE_PASSWORD", "s3cr3t") + monkeypatch.setenv("DATABASE_HOST_READ_REPLICA", "reader.example.com") + monkeypatch.setenv("DATABASE_USER_READ_REPLICA", "litellm_ro") + monkeypatch.setenv("DATABASE_PASSWORD_READ_REPLICA", "ro_pw") + + assert _apply() is True + assert ( + os.environ["DATABASE_URL_READ_REPLICA"] + == "postgresql://litellm_ro:ro_pw@reader.example.com:5432/litellm_db" + ) diff --git a/tests/test_litellm/proxy/test_component_allowlists.py b/tests/test_litellm/proxy/test_component_allowlists.py new file mode 100644 index 00000000000..d20e1781169 --- /dev/null +++ b/tests/test_litellm/proxy/test_component_allowlists.py @@ -0,0 +1,76 @@ +"""Coverage test for the gateway / backend component allowlists. + +The componentization scaffold splits the proxy FastAPI app into two runtime +components by trimming the route table inside a wrapped lifespan context: + + gateway.main -> only paths matched by gateway/routes/allowlist.py + backend.main -> only paths matched by backend/routes/allowlist.py + +If either allowlist drops a path that was reachable on the monolithic app, +clients hitting that path on the corresponding pod get a 404. This test +guarantees that the union of the two trimmed route sets equals the full set +of routes on the proxy app — i.e. no endpoint is dropped on the floor. + +The test reproduces the same predicate that ``gateway/main.py`` and +``backend/main.py`` use, without importing them. The component modules wrap +the shared ``app.router.lifespan_context``; importing them in the test process +would chain wrappers and corrupt the snapshot. +""" + +import os +import sys + +# Importing ``litellm.proxy.proxy_server`` runs its module-level setup, which +# reads ``DATABASE_URL`` (Prisma) and ``LITELLM_MASTER_KEY``. Tier-zero CI +# runners don't set these. We pin throwaway values before the import so the +# test never depends on a live database or master key. +os.environ.setdefault("DATABASE_URL", "sqlite:///:memory:") +os.environ.setdefault("LITELLM_MASTER_KEY", "sk-test-component-allowlist") + +from fastapi.routing import Mount + +# gateway/ and backend/ live at the repo root, not inside litellm/. +_REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..")) +if _REPO_ROOT not in sys.path: + sys.path.insert(0, _REPO_ROOT) + +from backend.routes.allowlist import BACKEND_EXACT_PATHS, BACKEND_PATH_PREFIXES +from gateway.routes.allowlist import GATEWAY_EXACT_PATHS, GATEWAY_PATH_PREFIXES +from litellm.proxy.proxy_server import app + + +def _component_paths(routes, exact_paths, path_prefixes) -> set[str]: + """Reproduce ``gateway.main._is_gateway_route`` / ``backend.main._is_backend_route``.""" + out: set[str] = set() + for route in routes: + if isinstance(route, Mount): + continue + path = getattr(route, "path", None) + if path is None: + continue + if path in exact_paths or any(path.startswith(p) for p in path_prefixes): + out.add(path) + return out + + +def test_gateway_plus_backend_covers_full_app(): + """Every route on the proxy app must be served by gateway or backend.""" + all_paths = { + getattr(r, "path") + for r in app.router.routes + if not isinstance(r, Mount) and getattr(r, "path", None) is not None + } + gateway_paths = _component_paths( + app.router.routes, GATEWAY_EXACT_PATHS, GATEWAY_PATH_PREFIXES + ) + backend_paths = _component_paths( + app.router.routes, BACKEND_EXACT_PATHS, BACKEND_PATH_PREFIXES + ) + + uncovered = all_paths - (gateway_paths | backend_paths) + + assert not uncovered, ( + f"{len(uncovered)} route(s) are not exposed on either component. " + f"Update gateway/routes/allowlist.py or backend/routes/allowlist.py to cover:\n " + + "\n ".join(sorted(uncovered)) + ) diff --git a/tests/test_litellm/proxy/test_proxy_cli.py b/tests/test_litellm/proxy/test_proxy_cli.py index 327200a6a95..46a55fc7468 100644 --- a/tests/test_litellm/proxy/test_proxy_cli.py +++ b/tests/test_litellm/proxy/test_proxy_cli.py @@ -538,7 +538,13 @@ class TestProxyInitializationHelpers: @patch("uvicorn.run") @patch("builtins.print") - def test_keepalive_timeout_flag(self, mock_print, mock_uvicorn_run): + @patch("litellm.proxy.db.prisma_client.PrismaManager.setup_database") + @patch( + "litellm.proxy.db.prisma_client.should_update_prisma_schema", return_value=False + ) + def test_keepalive_timeout_flag( + self, mock_should_update, mock_setup_db, mock_print, mock_uvicorn_run + ): """Test that the keepalive_timeout flag is properly passed to uvicorn""" from click.testing import CliRunner @@ -551,7 +557,18 @@ class TestProxyInitializationHelpers: mock_key_mgmt = MagicMock() mock_save_worker_config = MagicMock() + # Strip DATABASE_URL/DIRECT_URL so run_server doesn't enter the prisma + # DB-setup block (un-timeout'd `subprocess.run(["prisma"])` + + # migrate-deploy retry loop) — same isolation every other run_server + # test in this file uses. + clean_env = { + k: v + for k, v in os.environ.items() + if k not in ("DATABASE_URL", "DIRECT_URL") + } + with ( + patch.dict(os.environ, clean_env, clear=True), patch.dict( "sys.modules", { @@ -596,7 +613,13 @@ class TestProxyInitializationHelpers: @patch("uvicorn.run") @patch("builtins.print") - def test_timeout_worker_healthcheck_flag(self, mock_print, mock_uvicorn_run): + @patch("litellm.proxy.db.prisma_client.PrismaManager.setup_database") + @patch( + "litellm.proxy.db.prisma_client.should_update_prisma_schema", return_value=False + ) + def test_timeout_worker_healthcheck_flag( + self, mock_should_update, mock_setup_db, mock_print, mock_uvicorn_run + ): """Test that the --timeout_worker_healthcheck flag is threaded through to the uvicorn init helper.""" from click.testing import CliRunner @@ -609,7 +632,18 @@ class TestProxyInitializationHelpers: mock_key_mgmt = MagicMock() mock_save_worker_config = MagicMock() + # Strip DATABASE_URL/DIRECT_URL so run_server doesn't enter the prisma + # DB-setup block (un-timeout'd `subprocess.run(["prisma"])` + + # migrate-deploy retry loop) — same isolation every other run_server + # test in this file uses. + clean_env = { + k: v + for k, v in os.environ.items() + if k not in ("DATABASE_URL", "DIRECT_URL") + } + with ( + patch.dict(os.environ, clean_env, clear=True), patch.dict( "sys.modules", { diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index bedc9c1f6e8..73d53631622 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -1169,6 +1169,434 @@ def test_add_team_models_to_all_models(): assert result == {"gpt-4-model-2": {"team1"}} +@pytest.mark.asyncio +async def test_apply_search_filter_matches_team_public_model_name(): + """ + Regression test: team BYOK models persist an internal model_name + (e.g. `model_name_{team_id}_{uuid}`) and surface the user-facing name + via `model_info.team_public_model_name`. The /v2/model/info search + filter must match that public name so BYOK rows appear in results. + """ + from litellm.proxy.proxy_server import _apply_search_filter_to_models + + byok_model = { + "model_name": "model_name_team-abc-123_4a6b8", + "litellm_params": {"model": "claude-sonnet-4-5"}, + "model_info": { + "id": "byok-id-1", + "team_id": "team-abc-123", + "team_public_model_name": "team-claude-sonnet", + "db_model": True, + }, + } + unrelated_model = { + "model_name": "gpt-4", + "litellm_params": {"model": "gpt-4"}, + "model_info": {"id": "normal-id-1", "db_model": False}, + } + + # Search matching only team_public_model_name should still include BYOK + filtered, _ = await _apply_search_filter_to_models( + all_models=[byok_model, unrelated_model], + search="claude", + prisma_client=None, + proxy_config=MagicMock(), + ) + filtered_ids = {m["model_info"]["id"] for m in filtered} + assert "byok-id-1" in filtered_ids + assert "normal-id-1" not in filtered_ids + + # Search by internal model_name still matches as before + filtered, _ = await _apply_search_filter_to_models( + all_models=[byok_model, unrelated_model], + search="model_name_team-abc-123", + prisma_client=None, + proxy_config=MagicMock(), + ) + assert [m["model_info"]["id"] for m in filtered] == ["byok-id-1"] + + # Non-matching search returns nothing + filtered, _ = await _apply_search_filter_to_models( + all_models=[byok_model, unrelated_model], + search="gemini", + prisma_client=None, + proxy_config=MagicMock(), + ) + assert filtered == [] + + +@pytest.mark.asyncio +async def test_apply_search_filter_scopes_byok_to_caller_teams(): + """ + Regression test: `/v2/model/info?search=...` must not leak BYOK rows + from teams the caller is not a member of. Even with a bounded + `model_name`-contains DB query, a non-admin caller could otherwise + see other teams' BYOK rows that happen to match by internal name. + The post-fetch team scope drops those. + """ + from litellm.proxy.proxy_server import _apply_search_filter_to_models + + # In-router BYOK rows: one in the caller's team, one in someone else's. + caller_team_byok = { + "model_name": "model_name_team-mine_internal", + "litellm_params": {"model": "claude-sonnet"}, + "model_info": { + "id": "byok-mine", + "team_id": "team-mine", + "team_public_model_name": "claude-sonnet-prod", + "db_model": True, + }, + } + other_team_byok = { + "model_name": "model_name_team-other_internal", + "litellm_params": {"model": "claude-sonnet"}, + "model_info": { + "id": "byok-other", + "team_id": "team-other", + "team_public_model_name": "claude-sonnet-staging", + "db_model": True, + }, + } + # Non-team row stays in the router-side result regardless of teams. + public_model = { + "model_name": "claude-public", + "litellm_params": {"model": "claude-sonnet"}, + "model_info": {"id": "public-id", "db_model": False}, + } + + # DB-only BYOK rows fetched by the over-broad JSON branch. + db_caller_row = MagicMock() + db_caller_row.model_id = "byok-db-mine" + db_caller_row.model_name = "model_name_team-mine_db" + db_caller_row.model_info = { + "id": "byok-db-mine", + "team_id": "team-mine", + "team_public_model_name": "Claude DB Mine", + "db_model": True, + } + db_other_row = MagicMock() + db_other_row.model_id = "byok-db-other" + db_other_row.model_name = "model_name_team-other_db" + db_other_row.model_info = { + "id": "byok-db-other", + "team_id": "team-other", + "team_public_model_name": "Claude DB Other", + "db_model": True, + } + + prisma_client = MagicMock() + prisma_client.db.litellm_proxymodeltable.count = AsyncMock(return_value=2) + prisma_client.db.litellm_proxymodeltable.find_many = AsyncMock( + return_value=[db_caller_row, db_other_row] + ) + caller_user_row = MagicMock() + caller_user_row.teams = ["team-mine"] + prisma_client.db.litellm_usertable.find_unique = AsyncMock( + return_value=caller_user_row + ) + + proxy_config = MagicMock() + proxy_config.decrypt_model_list_from_db = lambda rows: [ + { + "model_name": r.model_name, + "model_info": r.model_info, + "litellm_params": {"model": "claude-sonnet"}, + } + for r in rows + ] + + non_admin = MagicMock(spec=UserAPIKeyAuth) + non_admin.user_role = LitellmUserRoles.INTERNAL_USER + non_admin.user_id = "user-mine" + + filtered, total_count = await _apply_search_filter_to_models( + all_models=[caller_team_byok, other_team_byok, public_model], + search="claude", + prisma_client=prisma_client, + proxy_config=proxy_config, + user_api_key_dict=non_admin, + ) + + filtered_ids = {m["model_info"]["id"] for m in filtered} + assert "byok-mine" in filtered_ids + assert "byok-db-mine" in filtered_ids + assert "public-id" in filtered_ids + assert "byok-other" not in filtered_ids, ( + "router-side BYOK from another team must be dropped from search " + "when caller doesn't belong to that team" + ) + assert "byok-db-other" not in filtered_ids, ( + "DB-only BYOK from another team must be dropped from search when " + "caller doesn't belong to that team" + ) + # total_count is router_models_count (2: caller_team_byok + public_model, + # other_team_byok dropped router-side) + DB count (2 from the mocked + # `count()`). The DB count is the *unscoped* match count; non-admin + # team scoping applies only to the returned page so the count can be + # over-reported, but it must never under-report (callers can paginate + # within the bound). + assert total_count == 4 + + # Admins keep the un-scoped view across teams. + admin = MagicMock(spec=UserAPIKeyAuth) + admin.user_role = LitellmUserRoles.PROXY_ADMIN + admin.user_id = "admin-1" + + filtered_admin, _ = await _apply_search_filter_to_models( + all_models=[caller_team_byok, other_team_byok, public_model], + search="claude", + prisma_client=prisma_client, + proxy_config=proxy_config, + user_api_key_dict=admin, + ) + admin_ids = {m["model_info"]["id"] for m in filtered_admin} + assert "byok-other" in admin_ids + assert "byok-db-other" in admin_ids + + +@pytest.mark.asyncio +async def test_apply_search_filter_bounds_db_fetch_by_page_and_cap(): + """ + Regression test: a broad search term must not force a full BYOK-table + read + decrypt on each request. + + * Unsorted searches: `find_many(take=N)` where N is just enough to + fill the current page after counting router-side matches. + * Sorted searches: `find_many(take=cap)` falls back to + `_SORTED_SEARCH_DB_FETCH_CAP` so ordering still works across a + large match set without scanning the whole table. + """ + from litellm.proxy.proxy_server import ( + _SORTED_SEARCH_DB_FETCH_CAP, + _apply_search_filter_to_models, + ) + + prisma_client = MagicMock() + prisma_client.db.litellm_proxymodeltable.count = AsyncMock(return_value=10_000) + prisma_client.db.litellm_proxymodeltable.find_many = AsyncMock(return_value=[]) + + proxy_config = MagicMock() + proxy_config.decrypt_model_list_from_db = lambda rows: [] + + # Unsorted: page=1, size=50, no router-side matches -> take must be 50. + await _apply_search_filter_to_models( + all_models=[], + search="model", + prisma_client=prisma_client, + proxy_config=proxy_config, + page=1, + size=50, + sort_by=None, + ) + take = prisma_client.db.litellm_proxymodeltable.find_many.call_args.kwargs["take"] + assert take == 50, "unsorted search must take just one page's worth of rows" + + # Sorted: still bounded, but by the hard cap rather than the page. + prisma_client.db.litellm_proxymodeltable.find_many.reset_mock() + await _apply_search_filter_to_models( + all_models=[], + search="model", + prisma_client=prisma_client, + proxy_config=proxy_config, + page=1, + size=50, + sort_by="model_name", + ) + take = prisma_client.db.litellm_proxymodeltable.find_many.call_args.kwargs["take"] + assert take == _SORTED_SEARCH_DB_FETCH_CAP + assert take < 10_000, "sorted search must cap below the full match set" + + +@pytest.mark.asyncio +async def test_filter_models_by_team_id_excludes_viewer_direct_access(): + """ + Regression test: when the UI picks a specific team in the Current Team + selector, the model list must show only that team's BYOK rows + the + models assigned to the team. The admin viewer's `direct_access` flag + (set on every non-team model upstream) must NOT widen the team's + visible set, or selecting team-111 still shows every public model. + """ + from litellm.proxy.proxy_server import _filter_models_by_team_id + + public_model = { + "model_name": "gpt-4", + "litellm_params": {"model": "gpt-4"}, + "model_info": { + "id": "public-id", + # admin viewer has direct_access on this public model + "direct_access": True, + # team-111 is NOT in access_via_team_ids -> shouldn't show for team-111 + "access_via_team_ids": ["team-222"], + }, + } + team111_byok = { + "model_name": "model_name_team-111_uuid", + "litellm_params": {"model": "claude-sonnet"}, + "model_info": { + "id": "byok-team-111", + "team_id": "team-111", + "team_public_model_name": "team-claude", + "access_via_team_ids": ["team-111"], + }, + } + team222_byok = { + "model_name": "model_name_team-222_uuid", + "litellm_params": {"model": "claude-haiku"}, + "model_info": { + "id": "byok-team-222", + "team_id": "team-222", + "team_public_model_name": "team-haiku", + "access_via_team_ids": ["team-222"], + }, + } + + prisma = MagicMock() + team_db = MagicMock() + team_db.model_dump.return_value = { + "team_id": "team-111", + "team_alias": "Team 111", + # specific models list that doesn't include the BYOK's internal name + "models": ["some-other-model"], + "access_group_ids": None, + } + prisma.db.litellm_teamtable.find_unique = AsyncMock(return_value=team_db) + prisma.db.litellm_proxymodeltable.find_many = AsyncMock(return_value=[]) + + router = MagicMock() + router.get_model_access_groups = MagicMock(return_value={}) + # team-111 only resolves "some-other-model", which has no deployments + router.get_model_list = MagicMock(return_value=[]) + + filtered = await _filter_models_by_team_id( + all_models=[public_model, team111_byok, team222_byok], + team_id="team-111", + prisma_client=prisma, + llm_router=router, + ) + visible_ids = sorted(m["model_info"]["id"] for m in filtered) + + assert "byok-team-111" in visible_ids, "team-111's own BYOK must always be visible" + assert "byok-team-222" not in visible_ids, "must not leak other teams' BYOK" + assert ( + "public-id" not in visible_ids + ), "viewer's direct_access must not widen the team's visible set" + + +@pytest.mark.asyncio +async def test_filter_models_by_team_id_rejects_non_member(): + """ + Regression test: /v2/model/info?teamId=X includes BYOK rows solely on + `model_info.team_id == X`. Without an auth check, any authenticated user + could enumerate another team's BYOK metadata by guessing its id. Callers + that are neither proxy admins nor members of `team_id` must get 403. + """ + from fastapi import HTTPException + + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.proxy_server import _filter_models_by_team_id + + byok = { + "model_name": "model_name_team-111_uuid", + "litellm_params": {"model": "claude"}, + "model_info": {"id": "byok-team-111", "team_id": "team-111"}, + } + + prisma = MagicMock() + # Caller is in team-222 only + user_row = MagicMock() + user_row.teams = ["team-222"] + prisma.db.litellm_usertable.find_unique = AsyncMock(return_value=user_row) + + caller = UserAPIKeyAuth( + user_id="alice", + user_role=LitellmUserRoles.INTERNAL_USER, + api_key="sk-test", + ) + + with pytest.raises(HTTPException) as excinfo: + await _filter_models_by_team_id( + all_models=[byok], + team_id="team-111", + prisma_client=prisma, + llm_router=MagicMock(), + user_api_key_dict=caller, + ) + assert excinfo.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_filter_models_by_team_id_allows_team_member(): + """ + A caller who IS a member of `team_id` must be allowed to filter, and + should see that team's BYOK rows. + """ + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.proxy_server import _filter_models_by_team_id + + byok = { + "model_name": "model_name_team-111_uuid", + "litellm_params": {"model": "claude"}, + "model_info": {"id": "byok-team-111", "team_id": "team-111"}, + } + + prisma = MagicMock() + user_row = MagicMock() + user_row.teams = ["team-111", "team-999"] + prisma.db.litellm_usertable.find_unique = AsyncMock(return_value=user_row) + team_db = MagicMock() + team_db.model_dump.return_value = { + "team_id": "team-111", + "team_alias": "Team 111", + "models": [], + "access_group_ids": None, + } + prisma.db.litellm_teamtable.find_unique = AsyncMock(return_value=team_db) + prisma.db.litellm_proxymodeltable.find_many = AsyncMock(return_value=[]) + + router = MagicMock() + router.get_model_access_groups = MagicMock(return_value={}) + router.get_model_list = MagicMock(return_value=[byok]) + + caller = UserAPIKeyAuth( + user_id="bob", + user_role=LitellmUserRoles.INTERNAL_USER, + api_key="sk-test", + ) + + result = await _filter_models_by_team_id( + all_models=[byok], + team_id="team-111", + prisma_client=prisma, + llm_router=router, + user_api_key_dict=caller, + ) + assert [m["model_info"]["id"] for m in result] == ["byok-team-111"] + + +@pytest.mark.asyncio +async def test_caller_byok_team_scope_treats_view_only_admin_as_unscoped(): + """ + Regression test: `PROXY_ADMIN_VIEW_ONLY` is an admin role + ("can login, view all own keys, view all spend"). Search results for + this role must show BYOK rows across all teams, not be silently scoped + to the user-id's `teams` field — that path narrows results to whatever + teams the admin happens to be a member of, regressing pre-PR behavior. + """ + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.proxy_server import _get_caller_byok_team_scope + + caller = UserAPIKeyAuth( + user_id="view-admin", + user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + api_key="sk-test", + ) + scope = await _get_caller_byok_team_scope( + user_api_key_dict=caller, + prisma_client=MagicMock(), + ) + assert scope is None, "PROXY_ADMIN_VIEW_ONLY must be unscoped, like PROXY_ADMIN" + + @pytest.mark.asyncio async def test_add_access_group_models_to_team_models(): """ @@ -6922,3 +7350,80 @@ class TestTransformRequestBannedParams: f"Expected 400 for banned param '{banned}', " f"got {response.status_code}: {response.json()}" ) + + +class TestSortModelsByDisplayName: + """Regression: team BYOK rows persist an internal `model_name` like + `model_name_{team_id}_{uuid}` and expose the user-facing name via + `model_info.team_public_model_name`. Sorting must use the displayed + name so BYOK rows interleave with non-BYOK rows alphabetically — + otherwise they clump at the end on their opaque IDs even though the + UI shows them under a normal-looking name. + """ + + def test_byok_models_sort_by_team_public_model_name(self): + from litellm.proxy.proxy_server import _sort_models + + models = [ + {"model_name": "claude-haiku-4-5", "model_info": {}}, + { + # Opaque internal name; UI displays team_public_model_name. + "model_name": "model_name_team-1_abc123", + "model_info": {"team_public_model_name": "anthropic/claude"}, + }, + {"model_name": "gpt-4o", "model_info": {}}, + ] + + sorted_models = _sort_models( + all_models=models, sort_by="model_name", sort_order="asc" + ) + displayed_order = [ + m["model_info"].get("team_public_model_name") or m["model_name"] + for m in sorted_models + ] + assert displayed_order == [ + "anthropic/claude", + "claude-haiku-4-5", + "gpt-4o", + ] + + def test_byok_models_sort_descending_by_display_name(self): + from litellm.proxy.proxy_server import _sort_models + + models = [ + {"model_name": "claude-haiku-4-5", "model_info": {}}, + { + "model_name": "model_name_team-1_zzz", + "model_info": {"team_public_model_name": "zeta/model"}, + }, + {"model_name": "gpt-4o", "model_info": {}}, + ] + + sorted_models = _sort_models( + all_models=models, sort_by="model_name", sort_order="desc" + ) + displayed_order = [ + m["model_info"].get("team_public_model_name") or m["model_name"] + for m in sorted_models + ] + assert displayed_order == [ + "zeta/model", + "gpt-4o", + "claude-haiku-4-5", + ] + + def test_empty_team_public_model_name_falls_back_to_model_name(self): + # Empty string for team_public_model_name (not None) must still + # fall back to model_name — otherwise BYOK rows with a blank + # display name would sort to the top. + from litellm.proxy.proxy_server import _sort_models + + models = [ + {"model_name": "alpha", "model_info": {"team_public_model_name": ""}}, + {"model_name": "beta", "model_info": {}}, + ] + + sorted_models = _sort_models( + all_models=models, sort_by="model_name", sort_order="asc" + ) + assert [m["model_name"] for m in sorted_models] == ["alpha", "beta"] diff --git a/tests/test_litellm/proxy/test_proxy_utils.py b/tests/test_litellm/proxy/test_proxy_utils.py index 2605eadba7a..7a2b20bd8fb 100644 --- a/tests/test_litellm/proxy/test_proxy_utils.py +++ b/tests/test_litellm/proxy/test_proxy_utils.py @@ -264,3 +264,60 @@ def test_enrich_http_exception_callback_without_guardrail_name_noop(): exc = HTTPException(status_code=400, detail={"error": "x"}) _enrich_http_exception_with_guardrail_context(exc, StubCallback()) assert exc.detail == {"error": "x"} + + +class TestPostCallFailureHookLiftsFirstApiCallStartTime: + """post_call_failure_hook lifts first_api_call_start_time off the + logging object into request_data (an internal top-level key) before + the non-serialisable logging object is popped, so failure-path + callbacks (OTel preprocessing latency) can still read it. It must + never land in request_data["metadata"] (user request metadata, + echoed downstream and typed Dict[str, str] in batch objects). + """ + + async def _run(self, request_data): + from unittest.mock import AsyncMock, patch + + from litellm.proxy._types import UserAPIKeyAuth + + proxy_logging_obj = ProxyLogging(user_api_key_cache=DualCache()) + proxy_logging_obj.alert_types = [] # skip alerting branch + with patch.object(proxy_logging_obj, "update_request_status", new=AsyncMock()): + await proxy_logging_obj.post_call_failure_hook( + request_data=request_data, + original_exception=Exception("boom"), + user_api_key_dict=UserAPIKeyAuth(), + ) + + @pytest.mark.asyncio + async def test_lifts_to_top_level_and_pops_logging_obj(self): + handoff = real_datetime.datetime(2026, 1, 1, 0, 0, 0) + logging_obj = MagicMock() + logging_obj.model_call_details = {"first_api_call_start_time": handoff} + user_meta = {} + request_data = { + "litellm_logging_obj": logging_obj, + "metadata": user_meta, + } + await self._run(request_data) + + assert request_data["first_api_call_start_time"] == handoff + assert "litellm_logging_obj" not in request_data + # user metadata is never touched + assert user_meta == {} + assert "first_api_call_start_time" not in request_data["metadata"] + + @pytest.mark.asyncio + async def test_no_logging_obj_is_noop(self): + request_data = {"metadata": {}} + await self._run(request_data) + assert "first_api_call_start_time" not in request_data + + @pytest.mark.asyncio + async def test_logging_obj_without_anchor_is_noop(self): + logging_obj = MagicMock() + logging_obj.model_call_details = {} + request_data = {"litellm_logging_obj": logging_obj} + await self._run(request_data) + assert "first_api_call_start_time" not in request_data + assert "litellm_logging_obj" not in request_data diff --git a/ui/Dockerfile b/ui/Dockerfile new file mode 100644 index 00000000000..b75c4d0a0c6 --- /dev/null +++ b/ui/Dockerfile @@ -0,0 +1,42 @@ +# syntax=docker/dockerfile:1.7 + +# UI container — Next.js static export served by nginx. + +ARG NODE_VERSION=20.18-alpine3.20 +ARG NGINX_VERSION=1.27-alpine + +# ---------- builder ---------- +FROM node:${NODE_VERSION} AS builder + +ENV NEXT_TELEMETRY_DISABLED=1 \ + npm_config_fund=false \ + npm_config_audit=false + +WORKDIR /app + +# Layer the lockfile-only install above the source copy so source-only +# edits don't bust the install cache. +COPY ui/litellm-dashboard/package.json ui/litellm-dashboard/package-lock.json ./ +RUN --mount=type=cache,target=/root/.npm \ + npm ci --prefer-offline + +COPY ui/litellm-dashboard/ ./ +RUN npm run build + +# ---------- runtime ---------- +FROM nginx:${NGINX_VERSION} AS runtime + +# Drop the upstream default :80 server; we own the config. +RUN rm -f /etc/nginx/conf.d/default.conf + +# Static export → web root. +COPY --from=builder /app/out /usr/share/nginx/html + +# Routing rules — see ui/nginx.conf for the full description. +COPY ui/nginx.conf /etc/nginx/nginx.conf + +EXPOSE 3000/tcp + +# nginx as PID 1 in foreground; respects SIGTERM out of the box, so +# no tini/dumb-init wrapper needed. +CMD ["nginx", "-g", "daemon off;"] diff --git a/ui/nginx.conf b/ui/nginx.conf new file mode 100644 index 00000000000..adc394a28aa --- /dev/null +++ b/ui/nginx.conf @@ -0,0 +1,99 @@ +worker_processes auto; +events { worker_connections 1024; } + +http { + include /etc/nginx/mime.types; + default_type application/octet-stream; + sendfile on; + tcp_nopush on; + keepalive_timeout 65; + + gzip on; + gzip_comp_level 4; + gzip_min_length 1024; + gzip_proxied any; + gzip_types + application/javascript + application/json + text/css + text/html + image/svg+xml + font/woff + font/woff2; + + server { + listen 3000 default_server; + server_name _; + root /usr/share/nginx/html; + + # next.config.mjs sets assetPrefix=/litellm-asset-prefix, which makes + # the built HTML reference /litellm-asset-prefix/_next/... — but the + # static export only emits files under /_next/. Map the prefix to + # the real tree at request time instead of duplicating the directory + # at build time. NB: alias rewrites the location prefix, so + # /litellm-asset-prefix/_next/foo.js → /usr/share/nginx/html/_next/foo.js. + location /litellm-asset-prefix/_next/ { + alias /usr/share/nginx/html/_next/; + expires 1y; + add_header Cache-Control "public, immutable"; + } + + # Content-hashed asset bundles — cache forever. + location /_next/ { + try_files $uri =404; + expires 1y; + add_header Cache-Control "public, immutable"; + } + location /assets/ { + try_files $uri =404; + expires 1y; + add_header Cache-Control "public, immutable"; + } + location = /favicon.ico { + try_files $uri =404; + expires 1d; + } + + # Probe target — doesn't depend on disk. + location = /healthz { default_type text/plain; return 200 "ok\n"; } + + # Next.js App Router (output: "export") emits an RSC/flight payload + # as .txt next to .html, plus __next.*.txt segment + # data. The client router fetches these on soft navigation/prefetch + # (?_rsc=) — the query string is irrelevant, files resolve by + # $uri. These MUST be served from the export: if they fall through + # to the catch-all 404 below, client-side navigation never settles + # and the login flow spins in an infinite redirect loop + # (/ ⇄ /ui/login). Keep this BEFORE the /ui/ regex — ^/ui/(.+)$ is + # also a regex and nginx takes the first matching one, so a stray + # /ui/.txt would otherwise be rewritten to HTML and break RSC + # for nested routes. A genuinely missing payload must 404 (the + # router degrades to a hard navigation); never fall back to HTML. + location ~ \.txt$ { + try_files $uri =404; + } + + # /ui[/] — the dashboard's JS hardcodes URLs under this prefix + # (router.replace("/ui"), buildLoginUrlWithReturn("/ui/login"), ...). + # Mirror what FastAPI StaticFiles(mount="/ui") did in the monolithic + # proxy_server: serve /ui/ from out/.html, with App + # Router-aware fallback (out//index.html) and a final SPA + # fallback to out/index.html for client-side routes. + location = /ui { try_files /index.html =404; } + location = /ui/ { try_files /index.html =404; } + location ~ ^/ui/(.+)$ { + try_files /$1.html /$1/index.html /index.html =404; + } + + # `/` is handy for direct-debug port-forwards. + location = / { try_files /index.html =404; } + + # Anything else (API calls etc.) returns 404 from the UI's + # perspective. A reverse proxy in front of this image routes the + # API surface (/v1, /key, /.well-known/litellm-ui-config, ...) to + # gateway/backend before requests get here; if something slips + # through, fall through to a 404 instead of accidentally serving + # HTML and confusing a JSON-expecting caller. + location / { return 404; } + } +} diff --git a/uv.lock b/uv.lock index ef129187fe4..dbf4d85f536 100644 --- a/uv.lock +++ b/uv.lock @@ -67,7 +67,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.13.4" +version = "3.13.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -79,76 +79,76 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/45/4a/064321452809dae953c1ed6e017504e72551a26b6f5708a5a80e4bf556ff/aiohttp-3.13.4.tar.gz", hash = "sha256:d97a6d09c66087890c2ab5d49069e1e570583f7ac0314ecf98294c1b6aaebd38", size = 7859748, upload-time = "2026-03-28T17:19:40.6Z" } 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