diff --git a/.circleci/config.yml b/.circleci/config.yml
index 9a5b6da77f3..32983c92e27 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
@@ -2280,10 +2302,11 @@ 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:
@@ -2669,6 +2692,8 @@ 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 20355a8e4ef..dff64e3c9e9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -101,4 +101,23 @@ STABILIZATION_TODO.md
**/*.storageState.json
**/coverage
test-config
+
+# ---------- 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
\ No newline at end of file
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/enterprise/pyproject.toml b/enterprise/pyproject.toml
index 9698e7912d4..9f37b52d94c 100644
--- a/enterprise/pyproject.toml
+++ b/enterprise/pyproject.toml
@@ -1,6 +1,6 @@
[project]
name = "litellm-enterprise"
-version = "0.1.40"
+version = "0.1.41"
description = "Package for LiteLLM Enterprise features"
readme = "README.md"
requires-python = ">=3.9"
@@ -26,7 +26,7 @@ required-version = ">=0.10.9"
module-root = ""
[tool.commitizen]
-version = "0.1.40"
+version = "0.1.41"
version_files = [
"pyproject.toml:^version",
"../pyproject.toml:litellm-enterprise==",
diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py
index 41d12907610..2de8e8bf7f1 100644
--- a/litellm/integrations/opentelemetry.py
+++ b/litellm/integrations/opentelemetry.py
@@ -59,6 +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"
@@ -667,6 +672,31 @@ class OpenTelemetry(OTELGenAISemconvMixin, 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
@@ -703,6 +733,14 @@ class OpenTelemetry(OTELGenAISemconvMixin, 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)
@@ -1627,6 +1665,19 @@ class OpenTelemetry(OTELGenAISemconvMixin, 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,
@@ -2889,3 +2940,86 @@ class OpenTelemetry(OTELGenAISemconvMixin, 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/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"
+ ],
+ "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": false,
+ "supports_system_messages": true,
+ "supports_tool_choice": true,
+ "supports_service_tier": true,
+ "supports_vision": true,
+ "supports_web_search": true,
+ "supports_none_reasoning_effort": false,
+ "supports_xhigh_reasoning_effort": true,
+ "supports_minimal_reasoning_effort": true
+ },
+ "azure_ai/gpt-5.4-pro-2026-03-05": {
+ "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"
+ ],
+ "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": false,
+ "supports_system_messages": true,
+ "supports_tool_choice": true,
+ "supports_service_tier": true,
+ "supports_vision": true,
+ "supports_web_search": true,
+ "supports_none_reasoning_effort": false,
+ "supports_xhigh_reasoning_effort": true,
+ "supports_minimal_reasoning_effort": true
+ },
+ "azure_ai/gpt-5.4-mini": {
+ "cache_read_input_token_cost": 7.5e-08,
+ "cache_read_input_token_cost_above_272k_tokens": 1.5e-07,
+ "cache_read_input_token_cost_priority": 1.5e-07,
+ "cache_read_input_token_cost_above_272k_tokens_priority": 3e-07,
+ "input_cost_per_token": 7.5e-07,
+ "input_cost_per_token_above_272k_tokens": 1.5e-06,
+ "input_cost_per_token_priority": 1.5e-06,
+ "input_cost_per_token_above_272k_tokens_priority": 3e-06,
+ "litellm_provider": "azure_ai",
+ "max_input_tokens": 400000,
+ "max_output_tokens": 128000,
+ "max_tokens": 128000,
+ "mode": "chat",
+ "output_cost_per_token": 4.5e-06,
+ "output_cost_per_token_above_272k_tokens": 6.75e-06,
+ "output_cost_per_token_priority": 9e-06,
+ "output_cost_per_token_above_272k_tokens_priority": 1.35e-05,
+ "source": "https://ai.azure.com/catalog/models/gpt-5.4-mini",
+ "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/gpt-5.4-mini-2026-03-17": {
+ "cache_read_input_token_cost": 7.5e-08,
+ "cache_read_input_token_cost_above_272k_tokens": 1.5e-07,
+ "cache_read_input_token_cost_priority": 1.5e-07,
+ "cache_read_input_token_cost_above_272k_tokens_priority": 3e-07,
+ "input_cost_per_token": 7.5e-07,
+ "input_cost_per_token_above_272k_tokens": 1.5e-06,
+ "input_cost_per_token_priority": 1.5e-06,
+ "input_cost_per_token_above_272k_tokens_priority": 3e-06,
+ "litellm_provider": "azure_ai",
+ "max_input_tokens": 400000,
+ "max_output_tokens": 128000,
+ "max_tokens": 128000,
+ "mode": "chat",
+ "output_cost_per_token": 4.5e-06,
+ "output_cost_per_token_above_272k_tokens": 6.75e-06,
+ "output_cost_per_token_priority": 9e-06,
+ "output_cost_per_token_above_272k_tokens_priority": 1.35e-05,
+ "source": "https://ai.azure.com/catalog/models/gpt-5.4-mini",
+ "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/gpt-5.4-nano": {
+ "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/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,
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+ "input_cost_per_token_priority": 4e-07,
+ "input_cost_per_token_above_272k_tokens_priority": 8e-07,
+ "litellm_provider": "azure_ai",
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+ "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/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.
\ No newline at end of file
diff --git a/litellm/proxy/_experimental/out/__next.__PAGE__.txt b/litellm/proxy/_experimental/out/__next.__PAGE__.txt
index fc9896d244c..29fe3567502 100644
--- a/litellm/proxy/_experimental/out/__next.__PAGE__.txt
+++ b/litellm/proxy/_experimental/out/__next.__PAGE__.txt
@@ -1,10 +1,10 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/0279e5299e9f6e98.js b/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js
similarity index 94%
rename from litellm/proxy/_experimental/out/_next/static/chunks/0279e5299e9f6e98.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js
index 8700ce4c9bc..aafe9858009 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/0279e5299e9f6e98.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js
@@ -1,11 +1,11 @@
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@@ -88,4 +88,4 @@
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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/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/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,
+ "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,
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+ "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,
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+ "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"
+ ],
+ "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": false,
+ "supports_system_messages": true,
+ "supports_tool_choice": true,
+ "supports_service_tier": true,
+ "supports_vision": true,
+ "supports_web_search": true,
+ "supports_none_reasoning_effort": false,
+ "supports_xhigh_reasoning_effort": true,
+ "supports_minimal_reasoning_effort": true
+ },
+ "azure_ai/gpt-5.4-pro-2026-03-05": {
+ "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"
+ ],
+ "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": false,
+ "supports_system_messages": true,
+ "supports_tool_choice": true,
+ "supports_service_tier": true,
+ "supports_vision": true,
+ "supports_web_search": true,
+ "supports_none_reasoning_effort": false,
+ "supports_xhigh_reasoning_effort": true,
+ "supports_minimal_reasoning_effort": true
+ },
+ "azure_ai/gpt-5.4-mini": {
+ "cache_read_input_token_cost": 7.5e-08,
+ "cache_read_input_token_cost_above_272k_tokens": 1.5e-07,
+ "cache_read_input_token_cost_priority": 1.5e-07,
+ "cache_read_input_token_cost_above_272k_tokens_priority": 3e-07,
+ "input_cost_per_token": 7.5e-07,
+ "input_cost_per_token_above_272k_tokens": 1.5e-06,
+ "input_cost_per_token_priority": 1.5e-06,
+ "input_cost_per_token_above_272k_tokens_priority": 3e-06,
+ "litellm_provider": "azure_ai",
+ "max_input_tokens": 400000,
+ "max_output_tokens": 128000,
+ "max_tokens": 128000,
+ "mode": "chat",
+ "output_cost_per_token": 4.5e-06,
+ "output_cost_per_token_above_272k_tokens": 6.75e-06,
+ "output_cost_per_token_priority": 9e-06,
+ "output_cost_per_token_above_272k_tokens_priority": 1.35e-05,
+ "source": "https://ai.azure.com/catalog/models/gpt-5.4-mini",
+ "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/gpt-5.4-mini-2026-03-17": {
+ "cache_read_input_token_cost": 7.5e-08,
+ "cache_read_input_token_cost_above_272k_tokens": 1.5e-07,
+ "cache_read_input_token_cost_priority": 1.5e-07,
+ "cache_read_input_token_cost_above_272k_tokens_priority": 3e-07,
+ "input_cost_per_token": 7.5e-07,
+ "input_cost_per_token_above_272k_tokens": 1.5e-06,
+ "input_cost_per_token_priority": 1.5e-06,
+ "input_cost_per_token_above_272k_tokens_priority": 3e-06,
+ "litellm_provider": "azure_ai",
+ "max_input_tokens": 400000,
+ "max_output_tokens": 128000,
+ "max_tokens": 128000,
+ "mode": "chat",
+ "output_cost_per_token": 4.5e-06,
+ "output_cost_per_token_above_272k_tokens": 6.75e-06,
+ "output_cost_per_token_priority": 9e-06,
+ "output_cost_per_token_above_272k_tokens_priority": 1.35e-05,
+ "source": "https://ai.azure.com/catalog/models/gpt-5.4-mini",
+ "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/gpt-5.4-nano": {
+ "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/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 a397c10ce66..f63770105dc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[project]
name = "litellm"
-version = "1.85.0"
+version = "1.86.0"
description = "Library to easily interface with LLM API providers"
readme = "README.md"
requires-python = ">=3.10, <3.14"
@@ -57,7 +57,7 @@ proxy = [
"azure-storage-blob==12.28.0",
"mcp==1.26.0",
"litellm-proxy-extras==0.4.72",
- "litellm-enterprise==0.1.40",
+ "litellm-enterprise==0.1.41",
"RestrictedPython==8.1",
"rich==13.9.4",
"polars==1.38.1",
@@ -251,7 +251,7 @@ source-exclude = [
profile = "black"
[tool.commitizen]
-version = "1.85.0"
+version = "1.86.0"
version_files = [
"pyproject.toml:^version",
]
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/test_litellm/integrations/test_opentelemetry.py b/tests/test_litellm/integrations/test_opentelemetry.py
index 27356038cd0..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
@@ -4625,3 +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/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/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/uv.lock b/uv.lock
index 5e2311a9b1f..f3eaf6ca88c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3189,7 +3189,7 @@ wheels = [
[[package]]
name = "litellm"
-version = "1.85.0"
+version = "1.86.0"
source = { editable = "." }
dependencies = [
{ name = "aiohttp" },
@@ -3534,7 +3534,7 @@ proxy-dev = [
[[package]]
name = "litellm-enterprise"
-version = "0.1.40"
+version = "0.1.41"
source = { editable = "enterprise" }
[[package]]
@@ -4298,7 +4298,7 @@ wheels = [
[[package]]
name = "openai"
-version = "2.36.0"
+version = "2.33.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "anyio" },
@@ -4310,9 +4310,9 @@ dependencies = [
{ name = "tqdm" },
{ name = "typing-extensions" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/f4/a1/4d5e84cf51720fc1526cc49e10ac1961abcccb55b0efb3d970db1e9a2728/openai-2.36.0.tar.gz", hash = "sha256:139dea0edd2f1b30c33d46ae1a6929e03906254140318e4608e98fe8c566f2e7", size = 753003, upload-time = "2026-05-07T17:33:17.075Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f0/ee/d056c82f63c05f06baac0cffb4a90952d8274f90c49dfe244f20497b9bbd/openai-2.33.0.tar.gz", hash = "sha256:f850c435e2a4685bba3295bd54912dd26315d9c1b7733068186134d6e0599f9a", size = 693254, upload-time = "2026-04-28T14:04:42.428Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/9d/1c/5d43735b2553baae2a5e899dcbcd0670a86930d993184d72ca909bf11c9b/openai-2.36.0-py3-none-any.whl", hash = "sha256:143f6194b548dbc2c921af1f1b03b9f14c85fed8a75b5b516f5bcc11a2a50c63", size = 1302361, upload-time = "2026-05-07T17:33:15.063Z" },
+ { url = "https://files.pythonhosted.org/packages/7d/32/37734d769bc8b42e4938785313cc05aade6cb0fa72479d3220a0d61a4e78/openai-2.33.0-py3-none-any.whl", hash = "sha256:03ac37d70e8c9e3a8124214e3afa785e2cbc12e627fbd98177a086ef2fd87ad5", size = 1162695, upload-time = "2026-04-28T14:04:40.482Z" },
]
[[package]]