merge: sync main for Responses redaction PR

This commit is contained in:
panjianxing 2026-10-20 20:07:24 +08:00
commit cd9547a8bd
4656 changed files with 674262 additions and 178150 deletions

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@ -1,12 +1,11 @@
#!/usr/bin/env bash
set -uo pipefail
category="${1:?usage: classify_changes.sh <backend|client|ui|provider-harness|cost-map-only|mcp-dependencies|windows-release|redis-compat>}"
category="${1:?usage: classify_changes.sh <backend|client|ui|cost-map-only|mcp-dependencies|windows-release|redis-compat>}"
has_client=false
has_backend=false
has_ci=false
has_provider_harness=false
has_cost_map=false
has_mcp_dependencies=false
has_windows_release=false
@ -15,7 +14,7 @@ outside_cost_map_set=false
while IFS= read -r file || [ -n "$file" ]; do
[ -n "$file" ] || continue
case "$file" in
litellm/_redis.py | litellm/_redis_credential_provider.py | litellm/caching/redis_cache.py | litellm/caching/evicted_client_closer.py | tests/unit/test_redis.py | tests/local_testing/test_caching.py | tests/unit/caching/test_redis_connection_pool.py | tests/unit/caching/test_redis_cluster_cache.py | tests/unit/caching/test_evicted_client_closer.py | .circleci/config.yml | .circleci/scripts/classify_changes.sh | .circleci/scripts/path_filter.sh | pyproject.toml | uv.lock)
litellm/_redis.py | litellm/_redis_credential_provider.py | litellm/caching/redis_cache.py | litellm/caching/evicted_client_closer.py | tests/unit/test_redis.py | tests/integration/sdk/test_redis_cluster_iam_auth.py | tests/unit/caching/test_redis_connection_pool.py | tests/unit/caching/test_redis_cluster_cache.py | tests/unit/caching/test_evicted_client_closer.py | .github/workflows/test-unit.yml | .github/actions/detect-changes/* | .github/scripts/detect_changes.sh | .circleci/scripts/classify_changes.sh | tests/integration/run.py | pyproject.toml | uv.lock)
has_redis_compat=true ;;
esac
case "$file" in
@ -23,11 +22,6 @@ while IFS= read -r file || [ -n "$file" ]; do
pyproject.toml | */pyproject.toml | uv.lock | uv.toml | .python-version | rust-toolchain.toml | litellm-rust/* | litellm/__init__.py | litellm/proxy/proxy_server.py | litellm/*mcp* | tests/*mcp* | litellm/integrations/arize/* | tests/base_sdk_tests/* | scripts/check_mcp_sdk_install.py | .github/workflows/test-mcp-dependency-resolution.yml | .github/actions/detect-changes/* | .github/actions/setup-uv-with-retries/* | .github/actions/cache-cargo-build/* | .github/scripts/detect_changes.sh | .github/scripts/uv_sync_with_retries.sh | .circleci/scripts/classify_changes.sh | tests/unit/test_circleci_path_filter.py | tests/unit/test_detect_changes.py)
has_mcp_dependencies=true ;;
esac
case "$file" in
tests/e2e/*/*.py | tests/e2e_harness/*/*.py) : ;;
tests/e2e/*.py | tests/e2e_harness/*.py | tests/code_coverage_tests/test_provider_cache.py | tests/code_coverage_tests/test_provider_replay_harness.py | tests/unit/test_circleci_path_filter.py | .circleci/* | pyproject.toml | uv.lock)
has_provider_harness=true ;;
esac
case "$file" in
litellm-rust/* | litellm/rust_bridge/* | rust-toolchain.toml | pyproject.toml | uv.lock | tests/windows_tests/* | .circleci/*)
has_windows_release=true ;;
@ -41,7 +35,7 @@ while IFS= read -r file || [ -n "$file" ]; do
case "$file" in
model_prices_and_context_window.json | litellm/model_prices_and_context_window_backup.json | model_prices_and_context_window.schema.json)
has_cost_map=true ;;
tests/test_litellm/* | tests/proxy_unit_tests/* | tests/unit/proxy/*) : ;;
tests/unit/proxy/*) : ;;
*) outside_cost_map_set=true ;;
esac
done
@ -53,9 +47,6 @@ case "$category" in
cost-map-only)
{ [ "$has_cost_map" = true ] && [ "$outside_cost_map_set" = false ]; } && echo run || echo skip
;;
provider-harness)
[ "$has_provider_harness" = true ] && echo run || echo skip
;;
windows-release)
[ "$has_windows_release" = true ] && echo run || echo skip
;;

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@ -1,7 +1,7 @@
#!/usr/bin/env bash
set -uo pipefail
category="${1:?usage: path_filter.sh <backend|client|provider-harness|redis-compat>}"
category="${1:?usage: path_filter.sh <backend|client|windows-release>}"
here="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
run_full() {

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@ -128,14 +128,31 @@ fi
sudo iptables -L integration_only -n -v -x > "$results/egress-guard.txt"
awk '$3 == "REJECT" && $1 > 0 { rejected=1 } END { exit !rejected }' "$results/egress-guard.txt"
setsid env -i PATH="$PATH" HOME="$HOME" PYTHONPATH="$PYTHONPATH" INTEGRATION_RUN_ID="$integration_identity" \
.venv/bin/python -m integration._support.upstream > "$results/upstream.log" 2>&1 &
upstream_pid=$!
if [ "$mode" = parity ]; then
export INTEGRATION_WORKERS=1
else
case "$suite" in
management|accounting) export INTEGRATION_WORKERS=2 ;;
providers|extensions) export INTEGRATION_WORKERS=4 ;;
esac
fi
if [ "$suite" = cost ]; then
export INTEGRATION_WORKERS=8
fi
if [ "$suite" = security ]; then
export INTEGRATION_WORKERS=4
fi
if [ "$suite" = mcp ]; then
export INTEGRATION_WORKERS=4 INTEGRATION_COVERAGE=1
export INTEGRATION_WORKERS=2 INTEGRATION_COVERAGE=1
fi
isolated_workers=false
if [ "${INTEGRATION_WORKERS:-1}" -gt 1 ]; then
isolated_workers=true
fi
if [ "$isolated_workers" = false ]; then
setsid env -i PATH="$PATH" HOME="$HOME" PYTHONPATH="$PYTHONPATH" INTEGRATION_RUN_ID="$integration_identity" \
.venv/bin/python -m integration._support.upstream > "$results/upstream.log" 2>&1 &
upstream_pid=$!
fi
coverage_data="$PWD/$results/coverage/data"
proxy_command=(.venv/bin/python -m integration._support.proxy)
@ -177,17 +194,19 @@ start_proxy() {
> "$results/$log_name" 2>&1 &
launched_pid=$!
}
start_proxy 4000 proxy.log
proxy_pid="$launched_pid"
.venv/bin/python .circleci/scripts/wait_integration_services.py
curl --noproxy '*' -sSf -X POST "$INTEGRATION_PROXY_URL/config/update" \
-H "Authorization: Bearer $LITELLM_MASTER_KEY" -H 'Content-Type: application/json' \
-d '{"router_settings": {"num_retries": 0}}' > "$results/seed-router-settings.json"
if [ "$suite" = management ] || [ "$suite" = mcp ]; then
export INTEGRATION_PEER_URL=http://127.0.0.1:4001
start_proxy 4001 peer.log
peer_pid="$launched_pid"
if [ "$isolated_workers" = false ]; then
start_proxy 4000 proxy.log
proxy_pid="$launched_pid"
.venv/bin/python .circleci/scripts/wait_integration_services.py
curl --noproxy '*' -sSf -X POST "$INTEGRATION_PROXY_URL/config/update" \
-H "Authorization: Bearer $LITELLM_MASTER_KEY" -H 'Content-Type: application/json' \
-d '{"router_settings": {"num_retries": 0}}' > "$results/seed-router-settings.json"
if [ "$suite" = management ] || [ "$suite" = mcp ] || [ "$suite" = accounting ]; then
export INTEGRATION_PEER_URL=http://127.0.0.1:4001
start_proxy 4001 peer.log
peer_pid="$launched_pid"
.venv/bin/python .circleci/scripts/wait_integration_services.py
fi
fi
if [ "$suite" = providers ]; then
@ -213,30 +232,42 @@ if [ "$suite" = browser ]; then
exit 0
fi
node_files=()
shard_arguments=()
if [ "${CIRCLE_NODE_TOTAL:-1}" -gt 1 ]; then
split="$(.venv/bin/python tests/integration/run.py "$suite" --list \
| circleci tests split --split-by=timings --timings-type=filename)"
read -r -a node_files <<< "$(printf '%s' "$split" | tr '\n' ' ')"
test "${#node_files[@]}" -gt 0
printf '%s\n' "${node_files[@]}" > "$results/node-files.txt"
.venv/bin/python tests/integration/run.py "$suite" --list \
| circleci tests split --split-by=timings --timings-type=filename > "$results/node-files.txt"
shard_arguments=(--shard-files "$results/node-files.txt")
fi
shared_services=()
worker_coverage=()
if [ "$isolated_workers" = false ]; then
shared_services=(
"REDIS_HOST=$REDIS_HOST" "REDIS_PORT=$REDIS_PORT"
"INTEGRATION_PROXY_URL=$INTEGRATION_PROXY_URL" "INTEGRATION_PEER_URL=$INTEGRATION_PEER_URL"
"INTEGRATION_UPSTREAM_URL=$INTEGRATION_UPSTREAM_URL" "INTEGRATION_MASTER_KEY=$INTEGRATION_MASTER_KEY"
)
elif [ "${INTEGRATION_COVERAGE:-0}" = 1 ]; then
worker_coverage=("INTEGRATION_COVERAGE_FILE=$coverage_data")
fi
env -i PATH="$PATH" HOME="$HOME" PYTHONPATH="$PYTHONPATH" \
INTEGRATION_RUN_ID="$integration_identity" \
DATABASE_URL="$DATABASE_URL" REDIS_HOST="$REDIS_HOST" REDIS_PORT="$REDIS_PORT" \
INTEGRATION_PROXY_URL="$INTEGRATION_PROXY_URL" INTEGRATION_PEER_URL="$INTEGRATION_PEER_URL" \
INTEGRATION_UPSTREAM_URL="$INTEGRATION_UPSTREAM_URL" \
DATABASE_URL="$DATABASE_URL" \
"${shared_services[@]}" "${worker_coverage[@]}" \
INTEGRATION_WORKERS="${INTEGRATION_WORKERS:-1}" \
INTEGRATION_MASTER_KEY="$INTEGRATION_MASTER_KEY" LITELLM_MODE=PRODUCTION \
LITELLM_MODE=PRODUCTION \
LITELLM_LICENSE="${LITELLM_LICENSE:-}" \
INTEGRATION_SEED="$INTEGRATION_SEED" \
INTEGRATION_ORDER_SEED="$INTEGRATION_ORDER_SEED" \
INTEGRATION_CASE_SHARDS="${CIRCLE_NODE_TOTAL:-1}" INTEGRATION_CASE_SHARD_INDEX="${CIRCLE_NODE_INDEX:-0}" \
LITELLM_LOCAL_MODEL_COST_MAP=True AWS_EC2_METADATA_DISABLED=true DO_NOT_TRACK=1 \
INTEGRATION_PROXY_DATABASE_URL="$INTEGRATION_PROXY_DATABASE_URL" \
INTEGRATION_PROXY_READ_REPLICA_URL="$INTEGRATION_PROXY_READ_REPLICA_URL" \
INTEGRATION_ROUTING="$INTEGRATION_ROUTING" \
.venv/bin/python tests/integration/run.py "$suite" --results "$results" "${node_files[@]}"
MCP_TEST_PEER_PYTHON="${MCP_TEST_PEER_PYTHON:-}" \
.venv/bin/python tests/integration/run.py "$suite" --results "$results" \
"${shard_arguments[@]}"
if [ "${INTEGRATION_COVERAGE:-0}" = 1 ]; then
for covered_pid in "$proxy_pid" "$peer_pid"; do

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@ -10,7 +10,7 @@ from typing import Final
from xml.etree import ElementTree
SUITES: Final = {
"startup": (("test_startup.py",), 12),
"startup": (("test_startup.py",), 13),
"recovery": (("test_recovery.py",), 15),
"legacy": (("test_legacy.py", "test_pooling.py"), 11),
"upgrade": (("test_upgrade.py", "test_rolling_upgrade.py"), 5),

View file

@ -1,42 +1,31 @@
import os
import time
from contextlib import ExitStack
from typing import Final
import httpx
from integration._support.client import Gateway
from integration._support.workers import wait_for_services
from redis import Redis
def main() -> None:
primary: Final = os.environ["INTEGRATION_PROXY_URL"]
peer: Final = os.environ.get("INTEGRATION_PEER_URL")
proxies: Final = (primary, peer) if peer else (primary,)
deadline: Final = time.monotonic() + 90
headers: Final = {"Authorization": f"Bearer {os.environ['INTEGRATION_MASTER_KEY']}"}
with httpx.Client(trust_env=False, timeout=2) as client, Redis(
host=os.environ["REDIS_HOST"], port=int(os.environ["REDIS_PORT"]), socket_timeout=2
) as cache:
while True:
try:
ready: Final = (
client.get(f"{os.environ['INTEGRATION_UPSTREAM_URL']}/health").status_code == 200
and all(client.get(f"{url}/health/readiness").status_code == 200 for url in proxies)
)
if ready:
for url in proxies:
response: Final = client.get(f"{url}/cache/ping", headers=headers)
response.raise_for_status()
result: Final = response.json()
assert result["status"] == "healthy", result
assert result["cache_type"] == "redis", result
assert result["ping_response"] is True, result
assert result["set_cache_response"] == "success", result
if cache.pubsub_numsub("litellm_proxy.auth_cache_invalidation")[0][1] >= len(proxies):
return
except httpx.TransportError:
pass
if time.monotonic() >= deadline:
raise SystemExit("Integration services or auth-cache subscribers did not become ready")
time.sleep(0.2)
urls: Final = (primary, peer) if peer else (primary,)
upstream: Final = os.environ["INTEGRATION_UPSTREAM_URL"]
with ExitStack() as stack:
proxies: Final = tuple(
Gateway(
stack.enter_context(httpx.Client(base_url=url, trust_env=False, timeout=2)),
os.environ["INTEGRATION_MASTER_KEY"],
upstream,
)
for url in urls
)
cache: Final = stack.enter_context(
Redis(host=os.environ["REDIS_HOST"], port=int(os.environ["REDIS_PORT"]), socket_timeout=2)
)
wait_for_services(upstream, proxies, cache)
if __name__ == "__main__":

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@ -1,90 +0,0 @@
#!/usr/bin/env bash
#
# pre-push — enforce Conventional Branches
# https://conventional-branch.github.io/
#
# Branch format: <type>/<description>
# <type> must be one of: feature, bugfix, hotfix, release, chore
#
# Protected branches (always allowed):
# - main
# - dependabot/*
# - gh-readonly-queue/*
#
# Tag pushes and branch deletions are skipped.
# Bypass: git push --no-verify.
set -eu
ZERO_OID="0000000000000000000000000000000000000000"
ZERO_OID_SHA256="0000000000000000000000000000000000000000000000000000000000000000"
ALLOWED_TYPES="feature|bugfix|hotfix|release|chore"
BRANCH_PATTERN="^(${ALLOWED_TYPES})/.+"
PROTECTED_NAMES="main"
PROTECTED_PREFIXES="dependabot/ gh-readonly-queue/"
is_protected() {
branch="$1"
for name in $PROTECTED_NAMES; do
if [ "$branch" = "$name" ]; then
return 0
fi
done
for prefix in $PROTECTED_PREFIXES; do
case "$branch" in "$prefix"*) return 0 ;; esac
done
return 1
}
invalid=""
while read -r local_ref local_oid remote_ref remote_oid; do
# Branch deletion (no local commit being pushed).
if [ "$local_oid" = "$ZERO_OID" ] || [ "$local_oid" = "$ZERO_OID_SHA256" ]; then
continue
fi
# Only validate branch pushes; ignore tags and other ref namespaces.
case "$remote_ref" in
refs/heads/*) ;;
*) continue ;;
esac
branch="${remote_ref#refs/heads/}"
if is_protected "$branch"; then
continue
fi
if ! printf '%s' "$branch" | grep -Eq "$BRANCH_PATTERN"; then
invalid="$invalid $branch"
fi
done
if [ -n "$invalid" ]; then
cat >&2 <<EOF
✗ Branch name does not follow Conventional Branches.
Invalid:$invalid
Expected: <type>/<description>
Allowed types: feature, bugfix, hotfix, release, chore
Examples:
feature/weighted-round-robin
bugfix/streaming-empty-chunks
chore/bump-deps
hotfix/auth-bypass
Protected (always allowed): main, dependabot/*, gh-readonly-queue/*.
See https://conventional-branch.github.io/
Rename with: git branch -m <new-name>
To bypass (use sparingly): git push --no-verify
EOF
exit 1
fi
exit 0

6
.github/CODEOWNERS vendored
View file

@ -1,2 +1,4 @@
/model_prices_and_context_window.json @mateo-berri @ryan-crabbe-berri @kerrylu-berri
/litellm/model_prices_and_context_window_backup.json @mateo-berri @ryan-crabbe-berri @kerrylu-berri
/model_prices_and_context_window.json @mateo-berri @ryan-crabbe-berri @kerry-berri
/litellm/model_prices_and_context_window_backup.json @mateo-berri @ryan-crabbe-berri @kerry-berri
/helm/ @yassin-berriai
/terraform/ @yassin-berriai

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@ -68,7 +68,7 @@ After: the same request comes back with real token counts, so the dashboard show
- [ ] The handful of test files covering my change pass locally, e.g. `uv run pytest tests/unit/<your_test_file>.py -v`. Leave the suites (`make test-unit-*`, `make test-unit`) to CI: it finishes in ~15 minutes where a laptop takes an hour or more
- [ ] My PR passes all required CI/CD checks (e.g., lint, schema.d.ts sync check, etc.)
- [ ] My PR's scope is as isolated as possible; it only solves 1 specific problem
- [ ] I have received a Greptile **Confidence Score of at least 4/5** before requesting a maintainer review (Greptile reviews automatically once the PR is opened; only comment `@greptileai` to re-request a review after pushing changes)
- [ ] Every automated review on my PR's latest commit has finished, and I have addressed or replied to each of its findings before requesting a maintainer review
## Delays in PR merge?

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@ -5,7 +5,7 @@ description: >-
test_paths:
- reason: >-
litellm.agent() end-to-end suite. It drives the real claude, codex and opencode CLIs and
litellm.agent() end-to-end suite. It drives the real claude, codex, opencode and pi CLIs and
deepagents against a live LiteLLM AI Gateway, so it needs those binaries on PATH plus
LITELLM_PROXY_API_BASE / LITELLM_PROXY_API_KEY, and skips without them. Run manually
before changing litellm/harness; the mocked coverage runs in tests/unit/harness and
@ -18,30 +18,11 @@ test_paths:
paths:
- tests/rust-python-harness
- reason: >-
Live-provider caching cases in tests/local_testing that remain outside CI. Jobs that
glob that directory either deselect them (local_testing_part1 and part2 carry `-k "... and
not caching and not cache"`) or keep only another keyword (langfuse, router, assistants).
Separately, the CircleCI redis-compat jobs select two IAM cluster authentication tests in
test_caching.py by node ID. It does not run that file's other tests.
The gap was eight files and 118 tests when measured 2026-08-20; the five keyless files now
run in the caching-local shard, leaving live cases in these three. Measured 2026-08-21 with no provider
credentials and no Redis: test_caching.py needs both (37 of 65 fail without them),
test_disk_cache_unit_tests.py needs OPENAI_API_KEY for 2 of its 4, and
test_gcs_cache_unit_tests.py needs GCS credentials for all 4. They want the keyless/live
split that porting tests/local_testing off CircleCI will force, not a job that is red by
construction
Owned by the open pull request that moves the Rust/Python parity checks (#45135). It ran in
the CircleCI build_and_test job that globbed tests/test_*.py, which this migration deletes,
and that pull request gives it a new home
paths:
- tests/local_testing/test_caching.py
- tests/local_testing/test_disk_cache_unit_tests.py
- tests/local_testing/test_gcs_cache_unit_tests.py
- reason: >-
Mixed file that no job has ever run in full. Every CircleCI job that globs
tests/local_testing deselects it by name ("caching") or keeps only another keyword, so only
its router test ran, and that test now lives in tests/unit/router_utils/pre_call_checks.
Its two offline tests now live in tests/unit/llms/anthropic/chat, and the five left all need
ANTHROPIC_API_KEY or Vertex credentials
paths:
- tests/local_testing/test_anthropic_prompt_caching.py
- tests/test_rust_python_harness.py
- reason: >-
The end-to-end suite runs against a deployed proxy from its own in-cluster rig rather than
from a pull request; it needs a live gateway and provider credentials no PR job holds
@ -67,48 +48,6 @@ test_paths:
choice it informed is settled
paths:
- tests/code_coverage_tests/test_aio_http_image_conversion.py
- reason: >-
No job invokes this suite and its files mix pure transformation tests with ones driving live
vendor vector stores, so assigning them needs a per-file decision
paths:
- tests/vector_store_tests/rag/test_rag_bedrock.py
- tests/vector_store_tests/rag/test_rag_openai.py
- tests/vector_store_tests/rag/test_rag_s3_vectors.py
- tests/vector_store_tests/rag/test_rag_vertex_ai.py
- tests/vector_store_tests/test_azure_ai_vector_store.py
- tests/vector_store_tests/test_azure_vector_store.py
- tests/vector_store_tests/test_bedrock_vector_store.py
- tests/vector_store_tests/test_gemini_vector_store.py
- tests/vector_store_tests/test_milvus_vector_store.py
- tests/vector_store_tests/test_openai_vector_store.py
- tests/vector_store_tests/test_ragflow_vector_store.py
- tests/vector_store_tests/test_s3_vectors_vector_store.py
- tests/vector_store_tests/test_vertex_ai_search_api_vector_store.py
- tests/vector_store_tests/test_vertex_ai_vector_store.py
- reason: >-
Throughput and memory-growth measurements whose runtime and variance make them unsuitable for
a per-pull-request job
paths:
- tests/load_tests/test_datadog_load_test.py
- tests/load_tests/test_langsmith_load_test.py
- tests/load_tests/test_linear_memory_growth.py
- tests/load_tests/test_memory_usage.py
- tests/load_tests/test_otel_load_test.py
- tests/load_tests/test_vertex_embeddings_load_test.py
- tests/load_tests/test_vertex_load_tests.py
- reason: >-
Env-gated saturation benchmark requires a live proxy and provider credentials, so it is run
locally rather than in pull-request jobs
paths:
- tests/load_tests/test_granian_admission_saturation.py
- reason: >-
A local-only agent rig: test_a2a_completion_bridge.py needs a LangGraph server on
localhost:2024 and test_a2a.py drives a live A2A endpoint, so neither can run in a
pull request job. Until 2026-08-20 the CircleCI agent job hid them behind a grep -v
that this census could not see; the glob now excludes them structurally and this entry
is the decision on the record. Revisit when the A2A bridge gets a recorded-wire fixture
paths:
- tests/agent_tests/local_only_agent_tests
- reason: >-
Third-party integration tests that skip themselves without OCI configuration or sandbox
credentials, neither of which a pull request job holds

View file

@ -1,69 +0,0 @@
import os
import re
import sys
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import Final
sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "tests/e2e"))
from coverage_registry.management_cases import MANAGEMENT_CASES
def main() -> int:
selected: Final = tuple(sys.argv[2:])
try:
report: Final = ET.parse(Path(sys.argv[1])).getroot()
except (ET.ParseError, OSError):
_ = sys.stdout.write("::error::could not read the test execution report\n")
return 1
cases: Final = tuple(report.iter("testcase"))
expected_count: Final = os.environ.get("E2E_REQUIRED_TEST_COUNT")
passed: Final = frozenset(
case.get("file") for case in cases if all(case.find(tag) is None for tag in ("skipped", "failure", "error"))
)
missing: Final = tuple(path for path in selected if path not in passed)
required_nodes: Final = frozenset(case.node for case in MANAGEMENT_CASES if case.node.split("::", 1)[0] in selected)
passed_nodes: Final = frozenset(
prop.get("value")
for case in cases
if all(case.find(tag) is None for tag in ("skipped", "failure", "error"))
for prop in case.findall("./properties/property")
if prop.get("name") == "management_node"
)
missing_nodes: Final = required_nodes - passed_nodes
for node in sorted(missing_nodes):
_ = sys.stdout.write(f"::error::required management case did not pass: {node}\n")
for path in selected:
collected: Final = sum(case.get("file") == path for case in cases)
skipped: Final = sum(case.get("file") == path and case.find("skipped") is not None for case in cases)
_ = sys.stdout.write(f"{path}: {collected} collected, {skipped} skipped\n")
for case in cases:
if case.get("file") != path or all(case.find(tag) is None for tag in ("failure", "error", "skipped")):
continue
outcome = "skipped" if case.find("skipped") is not None else "failed"
_ = sys.stdout.write(f" {outcome}: {case.get('classname', '')}::{case.get('name', '')}\n")
for prop in case.findall("./properties/property"):
name = prop.get("name", "")
value = prop.get("value", "")
if name in ("oauth_failure_phase", "oauth_exception_type", "oauth_frame") and re.fullmatch(
r"[A-Za-z0-9_.:<>-]{1,240}", value
):
_ = sys.stdout.write(f" {name}: {value}\n")
if expected_count is not None and (
len(cases) != int(expected_count) or any(case.find("skipped") is not None for case in cases)
):
_ = sys.stdout.write("::error::required test count was not met or a required case was skipped\n")
return 1
if (
selected
and not missing
and not missing_nodes
and not any(case.find(tag) is not None for case in cases for tag in ("failure", "error"))
):
return 0
_ = sys.stdout.write("::error::every selected file must execute a passing test, with no failures or errors\n")
return 1
if __name__ == "__main__":
sys.exit(main())

View file

@ -9,6 +9,8 @@ import sys
import warnings
from collections.abc import Callable, Iterable, Mapping, Sequence
from dataclasses import dataclass
from functools import lru_cache
from types import MappingProxyType
from typing import Final
import yaml
@ -30,12 +32,12 @@ IGNORE_ARG_RE: Final = re.compile(r"--ignore(?:-glob)?[= ](\S+)")
DOCKERFILE_TOKEN_RE = re.compile(r"[A-Za-z0-9_./-]*Dockerfile[A-Za-z0-9_.-]*")
COMMENT_RE = re.compile(r"^\s*#.*$", re.MULTILINE)
GLOB_CHARS = frozenset("*?")
DEDICATED_INTEGRATION_WORKFLOWS: Final = MappingProxyType({"image-scan.yml": "tests/integration/database/image/"})
# Trees whose jobs are sharded with no catch-all bucket, so every child that holds
# tests has to be named by some shard or it runs nowhere. A child listed here is
# itself decomposed one level deeper and is checked through its own entry.
SHARDED_ROOTS: tuple[str, ...] = (
"tests/test_litellm",
"tests/unit",
"tests/unit/enterprise",
"tests/unit/enterprise/enterprise_callbacks",
@ -316,6 +318,7 @@ def _keyword_terms(
def _slices() -> tuple[Slice, ...]:
if not CIRCLECI_CONFIG.exists():
return ()
test_files: Final = frozenset(_test_files())
jobs: Final = yaml.safe_load(CIRCLECI_CONFIG.read_text()).get("jobs", {})
return tuple(
Slice(job=job, globs=globs, named=named, required=required, excluded=excluded, understood=understood)
@ -323,7 +326,7 @@ def _slices() -> tuple[Slice, ...]:
for text in ("\n".join(_strings(body)),)
if "pytest" in text
for globs in (tuple(GLOB_CALL_RE.findall(text)),)
for named in (frozenset(TEST_TOKEN_RE.findall(text)) & frozenset(_test_files()),)
for named in (frozenset(TEST_TOKEN_RE.findall(text)) & test_files,)
for required, excluded, understood in (
_keyword_terms(tuple(KEYWORD_RE.findall(text)), attributable=len(globs) < 2),
)
@ -363,6 +366,7 @@ def _workflow_named_tokens() -> frozenset[str]:
def _deselected_everywhere(allowlist: Allowlist) -> tuple[Finding, ...]:
matchable_names: Final = lru_cache(maxsize=None)(_matchable_names)
slices: Final = _slices()
named_by_workflow: Final = _workflow_named_tokens()
globbed: Final = tuple(
@ -376,7 +380,7 @@ def _deselected_everywhere(allowlist: Allowlist) -> tuple[Finding, ...]:
for path in globbed
if not allowlist.covers_test(path)
and not any(_token_covers(token, path) for token in named_by_workflow)
and not any(slice_.claims(path, _matchable_names(path)) for slice_ in slices)
and not any(slice_.claims(path, matchable_names(path)) for slice_ in slices)
)
@ -557,6 +561,17 @@ def _integration_github_files(runner: pathlib.Path) -> frozenset[str]:
return frozenset(ast.literal_eval(values))
def _owns(workflow: str, relative_path: str) -> bool:
owned_root: Final = DEDICATED_INTEGRATION_WORKFLOWS.get(workflow)
return owned_root is not None and relative_path.startswith(owned_root)
def _tokens_outside_owner(relative_path: str, workflow_tokens: Mapping[str, frozenset[str]]) -> frozenset[str]:
return frozenset[str]().union(
*(tokens for workflow, tokens in workflow_tokens.items() if not _owns(workflow, relative_path))
)
def _integration_ownership(repo_root: pathlib.Path = REPO_ROOT) -> tuple[frozenset[str], tuple[Finding, ...]]:
runner: Final = repo_root / "tests/integration/run.py"
if not runner.exists():
@ -608,15 +623,20 @@ def _integration_ownership(repo_root: pathlib.Path = REPO_ROOT) -> tuple[frozens
)
!= 1
)
gha_tokens: Final = _invoked_test_tokens(
scalar
for path in (repo_root / ".github/workflows").glob("*.y*ml")
for scalar in _scalars(yaml.safe_load(path.read_text()), path.name)
workflow_tokens: Final = MappingProxyType(
{
path.name: _invoked_test_tokens(_scalars(yaml.safe_load(path.read_text()), path.name))
for path in (repo_root / ".github/workflows").glob("*.y*ml")
}
)
gha_tokens: Final = frozenset[str]().union(*workflow_tokens.values())
circle_owned: Final = (
frozenset(str(path.relative_to(repo_root)) for path in integration_root.rglob("test_*.py")) - github_files
)
findings: Final = (
tuple(
Finding(path, "integration contract is also selected by GitHub Actions")
for path in paths
Finding(path, "integration file outside GITHUB_FILES is selected by GitHub Actions")
for path in sorted(circle_owned)
if any(_token_covers(token, path) for token in gha_tokens)
)
+ tuple(
@ -629,6 +649,11 @@ def _integration_ownership(repo_root: pathlib.Path = REPO_ROOT) -> tuple[frozens
for path in sorted(github_files)
if not (repo_root / path).is_file()
)
+ tuple(
Finding(path, "GitHub-owned integration contract runs outside a dedicated integration workflow")
for path in sorted(github_files)
if any(_token_covers(token, path) for token in _tokens_outside_owner(path, workflow_tokens))
)
)
browser_commands: Final = tuple(
scalar.value
@ -685,13 +710,9 @@ def main() -> int:
scalars = _all_scalars()
integration_paths, ownership_findings = _integration_ownership()
test_findings = (
_uncovered_tests(
allowlist,
_invoked_selections(scalars)
+ (Selection(included=integration_paths, ignored=frozenset()),),
)
+ ownership_findings
test_findings = _uncovered_tests(
allowlist,
_invoked_selections(scalars) + (Selection(included=integration_paths, ignored=frozenset()),),
)
dockerfile_findings = _uncovered_dockerfiles(allowlist, _built_dockerfile_tokens(scalars))
stale_findings = _stale_allowlist_paths(allowlist, test_files=_test_files(), dockerfiles=_dockerfiles())
@ -708,13 +729,25 @@ def main() -> int:
test_findings,
"Add each to a job's test path, or list it in .github/ci-coverage-allowlist.yml with a reason.",
)
if ownership_findings:
browser_remedy = (
" CircleCI's browser group owns the integrationCritical Playwright contracts, so no GitHub workflow may "
"select them and the default Playwright config must exclude them."
if any("browser" in finding.detail or "Playwright" in finding.detail for finding in ownership_findings)
else ""
)
_report(
"integration contracts with the wrong CI owner",
ownership_findings,
"Follow tests/integration/AGENTS.md, which says which CI job owns each integration file." + browser_remedy,
)
if dockerfile_findings:
_report(
"Dockerfiles that no CI job builds",
dockerfile_findings,
"Build each in a workflow, or list it in .github/ci-coverage-allowlist.yml with a reason.",
)
if stale_findings or test_findings or dockerfile_findings:
if stale_findings or test_findings or ownership_findings or dockerfile_findings:
return 1
_write(

View file

@ -24,12 +24,9 @@ jobs:
- name: Update JSON Data
run: |
uv run --frozen --with 'aiohttp==3.13.3' python ".github/scripts/auto_update_price_and_context_window_file.py"
- name: Regenerate JSON Schema
run: |
uv run --frozen python ci_cd/generate_model_prices_schema.py
- name: Create Pull Request
run: |
git add model_prices_and_context_window.json model_prices_and_context_window.schema.json
git add model_prices_and_context_window.json
git commit -m "Update model_prices_and_context_window.json file: $(date +'%Y-%m-%d')"
gh pr create --title "Update model_prices_and_context_window.json file" \
--body "Automated update for model_prices_and_context_window.json" \

View file

@ -0,0 +1,30 @@
name: Deploy main to gateway-dev
on:
push:
branches: [main]
permissions: {}
concurrency:
group: deploy-dev-dispatch
cancel-in-progress: true
jobs:
dispatch:
if: github.repository == 'BerriAI/litellm'
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- uses: actions/create-github-app-token@fee1f7d63c2ff003460e3d139729b119787bc349 # v2.2.2
id: token
with:
app-id: ${{ secrets.LITELLM_OPS_DISPATCH_APP_ID }}
private-key: ${{ secrets.LITELLM_OPS_DISPATCH_APP_PRIVATE_KEY }}
owner: BerriAI
repositories: litellm-ops
permission-actions: write
- name: Dispatch the litellm-ops dev deploy
env:
GH_TOKEN: ${{ steps.token.outputs.token }}
run: gh api --method POST repos/BerriAI/litellm-ops/actions/workflows/deploy-dev.yml/dispatches -f ref=main

View file

@ -27,7 +27,7 @@ on:
- backend/routes/allowlist.py
- pyproject.toml
- litellm-proxy-extras/**
- tests/proxy_migration_tests/**
- tests/integration/database/image/**
- uv.lock
- ui/litellm-dashboard/package-lock.json
- ui/Dockerfile
@ -92,7 +92,7 @@ jobs:
LITELLM_ADMIN_MCP_SCHEMA_IMAGE: litellm-admin-mcp-schema:${{ github.sha }}
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_offline_image_migration.py tests/proxy_migration_tests/test_image_bedrock_realtime_extra.py tests/proxy_migration_tests/test_image_admin_mcp.py -v
python -m pytest --noconftest tests/integration/database/image/test_offline_image_migration.py tests/integration/database/image/test_image_bedrock_realtime_extra.py tests/integration/database/image/test_image_admin_mcp.py -v
# Scans the whole shipped artifact: OS/apk plus every language package
# baked into the image, including ones no lockfile declares (e.g. prisma's
@ -145,7 +145,7 @@ jobs:
LITELLM_ADMIN_MCP_SCHEMA_IMAGE: litellm-admin-mcp-schema:${{ github.sha }}
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_offline_image_migration.py tests/proxy_migration_tests/test_image_bedrock_realtime_extra.py tests/proxy_migration_tests/test_image_admin_mcp.py -v
python -m pytest --noconftest tests/integration/database/image/test_offline_image_migration.py tests/integration/database/image/test_image_bedrock_realtime_extra.py tests/integration/database/image/test_image_admin_mcp.py -v
migrations-image:
@ -177,7 +177,7 @@ jobs:
LITELLM_MIGRATION_SCRIPT: /app/run.py
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_offline_image_migration.py -v
python -m pytest --noconftest tests/integration/database/image/test_offline_image_migration.py -v
gateway-image:
name: gateway-image
@ -208,7 +208,7 @@ jobs:
LITELLM_IMAGE_COMPONENT: gateway
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_component_image_serves_offline.py tests/proxy_migration_tests/test_image_bedrock_realtime_extra.py tests/proxy_migration_tests/test_image_admin_mcp.py -v
python -m pytest --noconftest tests/integration/database/image/test_component_image_serves_offline.py tests/integration/database/image/test_image_bedrock_realtime_extra.py tests/integration/database/image/test_image_admin_mcp.py -v
ui-image:
name: ui-image
@ -237,7 +237,7 @@ jobs:
LITELLM_IMAGE: litellm-ui-scan:${{ github.sha }}
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_ui_image_serves_offline.py -v
python -m pytest --noconftest tests/integration/database/image/test_ui_image_serves_offline.py -v
backend-image:
name: backend-image
@ -272,4 +272,4 @@ jobs:
LITELLM_IMAGE_COMPONENT: backend
run: |
python -m pip install "pytest==9.0.3"
python -m pytest tests/proxy_migration_tests/test_component_image_serves_offline.py tests/proxy_migration_tests/test_image_admin_mcp.py -v
python -m pytest --noconftest tests/integration/database/image/test_component_image_serves_offline.py tests/integration/database/image/test_image_admin_mcp.py -v

View file

@ -35,6 +35,8 @@ jobs:
script: scripts/type_discipline_gate.py
- checker: test-quality
script: scripts/test_quality_gate.py
- checker: openapi-docs
script: scripts/openapi_docs_gate.py
- checker: basedpyright
script: scripts/type_check_gate.py
@ -60,16 +62,24 @@ jobs:
uses: ./.github/actions/cache-cargo-build
- name: Cache Prisma binaries
if: matrix.checker == 'basedpyright'
if: matrix.checker == 'basedpyright' || matrix.checker == 'openapi-docs'
uses: ./.github/actions/cache-prisma-binaries
# The three source scanners only need the pinned dev tools (ruff and the
# The source scanners only need the pinned dev tools (ruff and the
# stdlib checkers), the same versions test-linting.yml's python job runs.
- name: Install the dev tools
if: matrix.checker != 'basedpyright'
if: matrix.checker != 'basedpyright' && matrix.checker != 'openapi-docs'
run: |
uv sync --frozen --only-group dev --no-install-project
# The OpenAPI gate imports the proxy app, so it needs the same install the
# test-linting.yml python job uses, Prisma client included.
- name: Install the proxy
if: matrix.checker == 'openapi-docs'
run: |
uv sync --frozen --group proxy-dev --group e2e-dev --extra proxy
uv run --no-sync prisma generate --schema litellm/proxy/schema.prisma
- name: Emit ${{ matrix.checker }} counts for HEAD
if: matrix.checker != 'basedpyright'
run: |

View file

@ -41,10 +41,6 @@ jobs:
uv run --frozen python scripts/sync_together_ai_models.py --write --pr-body-file "$RUNNER_TEMP/pr_body.md"
env:
TOGETHER_API_KEY: ${{ secrets.TOGETHER_API_KEY }}
- name: Regenerate the JSON schema
if: steps.existing.outputs.open_pr == ''
run: |
uv run --frozen python ci_cd/generate_model_prices_schema.py
- name: Create a pull request when the registry changed
if: steps.existing.outputs.open_pr == ''
run: |
@ -57,8 +53,7 @@ jobs:
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git checkout -b "$branch"
git add model_prices_and_context_window.json \
litellm/model_prices_and_context_window_backup.json \
model_prices_and_context_window.schema.json
litellm/model_prices_and_context_window_backup.json
git commit -m "feat(models): sync together_ai model registry $(date +'%Y-%m-%d')"
gh auth setup-git
git push origin "$branch"

View file

@ -91,12 +91,12 @@ jobs:
- name: Run the Redis chaos load test
env:
E2E_REDIS_CHAOS: "1"
E2E_PERF_TESTS: "1"
LITELLM_PROXY_URL: http://localhost:4000
REDIS_HOST: 127.0.0.1
REDIS_PORT: "6379"
run: |
uv run --no-sync pytest tests/e2e/load/test_redis_chaos_e2e.py -v --tb=short -rA -s
uv run --no-sync pytest tests/e2e/perf/test_redis_chaos_e2e.py -v --tb=short -rA -s
- name: Show proxy log on failure
if: failure()

View file

@ -21,7 +21,17 @@ jobs:
pull-requests: read
actions: read
runs-on: ubuntu-latest
timeout-minutes: 15
timeout-minutes: 20
services:
redis:
image: redis@sha256:e2debfb7956fa12c7ddc79d7e645c8cf26b30c99a6e9161ea9bf4171e1668a5f
ports:
- 6379:6379
options: >-
--health-cmd "redis-cli ping"
--health-interval 10s
--health-timeout 5s
--health-retries 5
steps:
- uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
@ -156,6 +166,14 @@ jobs:
run: |
uv run --no-sync python scripts/test_quality_gate.py --base "$GATE_BASE_SHA"
- name: Check OpenAPI docs (POST routes without a request schema, description or 200 schema, delta vs merge-base counts)
if: steps.changes.outputs.decision != 'skip'
env:
GH_TOKEN: ${{ github.token }}
run: |
uv sync --frozen --group proxy-dev --group e2e-dev --extra proxy
uv run --no-sync python scripts/openapi_docs_gate.py --base "$GATE_BASE_SHA"
- name: Print OpenAI version
if: steps.changes.outputs.decision != 'skip'
run: |
@ -181,8 +199,9 @@ jobs:
if: steps.changes.outputs.decision != 'skip'
env:
LITELLM_MASTER_KEY: sk-e2e-harness-tests-reach-no-proxy
E2E_CACHE_TEST_REDIS_URL: redis://127.0.0.1:6379/0
run: |
if ! git diff --name-only --diff-filter=ACMRD "$GATE_BASE_SHA" HEAD -- tests/e2e tests/e2e_harness ':(exclude)tests/e2e/ui' pyproject.toml uv.lock .github/workflows/test-linting.yml | grep -q .; then
if ! git diff --name-only --diff-filter=ACMRD "$GATE_BASE_SHA" HEAD -- tests/e2e tests/e2e_harness ':(exclude)tests/e2e/ui' tests/code_coverage_tests/test_provider_replay_harness.py tests/code_coverage_tests/test_provider_cache.py pyproject.toml uv.lock .github/workflows/test-linting.yml | grep -q .; then
echo "No changed e2e harness files; skipping."
exit 0
fi
@ -190,6 +209,9 @@ jobs:
CLAUDE_VERSION="$(retry uv run --no-sync python tests/e2e/claude_code/pr_gate_version_resolver.py)"
tests/e2e/claude_code/cron_vm/install_claude_code.sh "$CLAUDE_VERSION" "$RUNNER_TEMP/claude-cli"
PATH="$RUNNER_TEMP/claude-cli:$PATH" uv run --no-sync pytest -q tests/e2e_harness
uv run --no-sync pytest --tb=short -q --noconftest -o addopts= -o "pythonpath=tests/e2e tests/e2e_harness" -p no:rerunfailures \
tests/code_coverage_tests/test_provider_replay_harness.py \
tests/code_coverage_tests/test_provider_cache.py
- name: Check for circular imports
if: steps.changes.outputs.decision != 'skip'
@ -517,8 +539,8 @@ jobs:
- name: test_unit_passed_gate
run: uv run --no-sync pytest -q --noconftest -p no:cacheprovider -c /dev/null tests/code_coverage_tests/test_unit_passed_gate.py
- name: test_e2e_changed_gate
run: uv run --no-sync pytest -q --noconftest -p no:cacheprovider -c /dev/null tests/code_coverage_tests/test_e2e_changed_gate.py tests/code_coverage_tests/test_e2e_idp_stack.py
- name: test_e2e_idp_stack
run: uv run --no-sync pytest -q --noconftest -p no:cacheprovider -c /dev/null tests/code_coverage_tests/test_e2e_idp_stack.py
- name: test_e2e_metadata
env:
@ -578,6 +600,9 @@ jobs:
- name: check_unsafe_enterprise_import
run: uv run --no-sync python ./tests/code_coverage_tests/check_unsafe_enterprise_import.py
- name: check_telemetry_imports
run: uv run --no-sync python ./tests/code_coverage_tests/check_telemetry_imports.py
- name: ban_copy_deepcopy_kwargs
run: uv run --no-sync python ./tests/code_coverage_tests/ban_copy_deepcopy_kwargs.py
@ -593,11 +618,8 @@ jobs:
- name: check_migrations_no_data_rewrites
run: uv run --no-sync python ./tests/code_coverage_tests/check_migrations_no_data_rewrites.py
- name: check_greptile_files_json
run: uv run --no-sync python ./tests/code_coverage_tests/check_greptile_files_json.py
- name: test_check_greptile_files_json
run: uv run --no-sync pytest -q --noconftest -p no:cacheprovider -c /dev/null tests/code_coverage_tests/test_check_greptile_files_json.py
- name: check_migrations_lock_timeout
run: uv run --no-sync python ./tests/code_coverage_tests/check_migrations_lock_timeout.py
- name: check_no_publicly_known_master_key
run: uv run --no-sync python ./tests/code_coverage_tests/check_no_publicly_known_master_key.py

View file

@ -1,180 +0,0 @@
name: MCP OAuth happy path
on:
pull_request:
paths:
- '.github/workflows/test-mcp-oauth-e2e.yml'
- '.github/e2e-stack/**'
- 'tests/e2e/*.py'
- 'tests/e2e/pytest.ini'
- 'tests/e2e/idp_realm.json'
- 'tests/e2e/mcp/**'
- 'litellm/experimental_mcp_client/**'
- 'litellm/proxy/_experimental/mcp_server/**'
- 'litellm/proxy/auth/**'
- 'litellm/proxy/management_endpoints/mcp_management_endpoints.py'
- 'litellm/proxy/_types.py'
- 'litellm/types/mcp_server/mcp_server_manager.py'
- 'litellm/proxy/management_endpoints/*sso*.py'
- 'litellm/proxy/management_endpoints/sso/**'
- 'litellm/proxy/common_utils/encrypt_decrypt_utils.py'
- 'litellm/proxy/proxy_server.py'
- 'litellm/proxy/schema.prisma'
- 'ui/litellm-dashboard/src/app/connect/**'
- 'ui/litellm-dashboard/src/app/mcp/oauth/**'
- 'pyproject.toml'
- 'uv.lock'
workflow_dispatch:
permissions: {}
concurrency:
group: mcp-oauth-${{ github.ref }}
cancel-in-progress: true
jobs:
oauth:
if: github.event_name == 'workflow_dispatch' || github.event.pull_request.head.repo.full_name == github.repository
runs-on: ubuntu-latest
environment: e2e-changed
timeout-minutes: 45
permissions:
contents: read
id-token: write
services:
postgres:
image: postgres:16.6
env:
POSTGRES_USER: litellm
POSTGRES_PASSWORD: dbpassword9090
POSTGRES_DB: litellm
ports:
- 5432:5432
options: >-
--health-cmd "pg_isready -U litellm"
--health-interval 5s
--health-timeout 5s
--health-retries 10
env:
DATABASE_HOST: 127.0.0.1
DATABASE_PORT: '5432'
DATABASE_USER: litellm
DATABASE_PASSWORD: dbpassword9090
DATABASE_NAME: litellm
DATABASE_URL: postgresql://litellm:dbpassword9090@127.0.0.1:5432/litellm
E2E_KEYCLOAK_URL: http://127.0.0.1:8081
E2E_KEYCLOAK_ADMIN_USER: admin
E2E_KEYCLOAK_ADMIN_PASSWORD: e2e-ephemeral-idp-not-a-secret
E2E_FIXTURE_MODE: live
E2E_PROVIDER_CACHE: '0'
E2E_MCP_OAUTH_LIVE: '1'
E2E_REQUIRED_TEST_COUNT: '4'
steps:
- name: Checkout the tested source
uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
ref: ${{ github.event.pull_request.head.sha || github.sha }}
persist-credentials: false
- name: Require and materialize the upstream login
env:
STORAGE_STATE: ${{ secrets.E2E_LINEAR_STORAGE_STATE_B64 }}
run: |
umask 077
python3 - <<'PY'
import base64
import json
import os
import secrets
from pathlib import Path
encoded = os.environ.get("STORAGE_STATE", "")
if not encoded:
raise SystemExit("E2E_LINEAR_STORAGE_STATE_B64 is required; capture and provision a test-account login")
state = json.loads(base64.b64decode(encoded, validate=True))
if not isinstance(state, dict) or not state.get("cookies"):
raise SystemExit("The captured login must contain browser cookies")
directory = Path(os.environ["RUNNER_TEMP"]) / "mcp-oauth-private"
directory.mkdir(mode=0o700)
path = directory / "linear-state.json"
path.write_text(json.dumps(state))
with open(os.environ["GITHUB_ENV"], "a") as output:
output.write(f"E2E_LINEAR_STORAGE_STATE={path}\n")
for name in ("LITELLM_MASTER_KEY", "LITELLM_SALT_KEY"):
value = "sk-e2e-" + secrets.token_hex(24)
print(f"::add-mask::{value}")
output.write(f"{name}={value}\n")
PY
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: '3.13'
- uses: ./.github/actions/setup-uv-with-retries
with:
version: '0.10.9'
- uses: ./.github/actions/cache-cargo-build
- name: Install the frozen E2E environment
run: |
.github/scripts/uv_sync_with_retries.sh --frozen --extra proxy --extra proxy-runtime --extra extra_proxy --group ci --group proxy-dev --group e2e-dev
uv run --no-sync python scripts/prisma_generate_if_needed.py
uv run --no-sync playwright install --with-deps chromium
- name: Configure license access
id: aws
uses: aws-actions/configure-aws-credentials@e7f100cf4c008499ea8adda475de1042d6975c7b # v6.2.0
with:
role-to-assume: ${{ vars.E2E_AWS_ROLE_TO_ASSUME }}
aws-region: us-east-1
role-session-name: mcp-oauth-${{ github.run_id }}
role-duration-seconds: 900
output-env-credentials: false
output-credentials: true
- name: Load the E2E license
env:
AWS_ACCESS_KEY_ID: ${{ steps.aws.outputs.aws-access-key-id }}
AWS_SECRET_ACCESS_KEY: ${{ steps.aws.outputs.aws-secret-access-key }}
AWS_SESSION_TOKEN: ${{ steps.aws.outputs.aws-session-token }}
AWS_DEFAULT_REGION: us-east-1
run: |
license="$(aws secretsmanager get-secret-value --secret-id litellm-e2e-changed-license --query SecretString --output text)"
test -n "${license}"
echo "::add-mask::${license}"
echo "LITELLM_LICENSE=${license}" >> "${GITHUB_ENV}"
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
with:
node-version-file: ui/litellm-dashboard/.nvmrc
- name: Build the gateway consent UI at the tested commit
run: |
cd ui/litellm-dashboard
../../scripts/with_dashboard_node.sh npm ci
../../scripts/with_dashboard_node.sh npm run build
mkdir -p ../../litellm/proxy/_experimental/out
cp -r out/. ../../litellm/proxy/_experimental/out/
find ../../litellm/proxy/_experimental/out -name '*.html' ! -name index.html | while read -r page; do
mkdir -p "${page%.html}"
mv "${page}" "${page%.html}/index.html"
done
- name: Prepare the isolated database and IdP
run: |
umask 077
bash .github/e2e-stack/start-idp.sh
uv run --no-sync python migrations/run.py > "${RUNNER_TEMP}/mcp-oauth-private/migrations.log" 2>&1
- name: Run every required OAuth variant without retries
run: |
umask 077
uv run --no-sync pytest -c tests/e2e/pytest.ini tests/e2e/mcp/test_mcp_oauth_happy_path_e2e.py \
--rootdir=. --reruns 0 --tb=short -o junit_family=xunit1 \
--junitxml="${RUNNER_TEMP}/mcp-oauth-private/results.xml" \
> "${RUNNER_TEMP}/mcp-oauth-private/pytest.log" 2>&1
- name: Report JUnit results and reject skipped or missing cases
if: always()
run: |
uv run --no-sync python .github/e2e-stack/assert_tests_ran.py \
"${RUNNER_TEMP}/mcp-oauth-private/results.xml" tests/e2e/mcp/test_mcp_oauth_happy_path_e2e.py
- name: Remove private login and logs
if: always()
run: |
docker rm -f e2e-keycloak >/dev/null 2>&1 || true
rm -rf "${RUNNER_TEMP}/mcp-oauth-private"

View file

@ -91,9 +91,181 @@ jobs:
if: always()
run: sudo ip netns delete smoke
all-extras:
name: all-extras-py${{ matrix.python-version }}
runs-on: ubuntu-24.04
timeout-minutes: 10
strategy:
fail-fast: false
matrix:
python-version: ["3.12", "3.13"]
env:
LITELLM_LOCAL_MODEL_COST_MAP: "True"
steps:
- name: Checkout
uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
persist-credentials: false
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ matrix.python-version }}
- name: Set up uv
uses: ./.github/actions/setup-uv-with-retries
with:
version: "0.10.9"
- name: Install every extra and dependency group
run: .github/scripts/uv_sync_with_retries.sh --frozen --all-groups --all-extras --python ${{ matrix.python-version }}
- name: Import the SDK, the proxy server and the enterprise package
run: .venv/bin/python -c "import litellm, litellm.proxy.proxy_server, litellm_enterprise"
windows-sdk:
name: windows-sdk
runs-on: windows-2025
timeout-minutes: 10
env:
LITELLM_LOCAL_MODEL_COST_MAP: "True"
defaults:
run:
shell: bash
steps:
- name: Checkout
uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
persist-credentials: false
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.11"
- name: Set up uv
uses: ./.github/actions/setup-uv-with-retries
with:
version: "0.10.9"
- name: Install dependencies
run: .github/scripts/uv_sync_with_retries.sh --frozen --no-install-workspace --group dev --python 3.11
- name: Run the Windows tests
run: uv run --no-sync python -m pytest --tb=short -v tests/windows_tests
proxy-build-from-pip:
name: proxy-build-from-pip
runs-on: ubuntu-24.04
timeout-minutes: 10
services:
postgres:
image: postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26
env:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: circle_test
ports:
- 5432:5432
options: >-
--health-cmd "pg_isready -U postgres"
--health-interval 2s
--health-timeout 5s
--health-retries 30
steps:
- name: Checkout
uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
persist-credentials: false
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.12"
- name: Set up uv
uses: ./.github/actions/setup-uv-with-retries
with:
version: "0.10.9"
- name: Install the test client dependencies
run: .github/scripts/uv_sync_with_retries.sh --frozen --no-install-workspace --extra proxy --group dev --python 3.12
- name: Build the image from the published package
run: docker build -t litellm-build-from-pip:smoke -f docker/build_from_pip/Dockerfile.build_from_pip .
- name: Start the fake OpenAI endpoint
run: |
nohup .venv/bin/python tests/_fake_openai_endpoint_server.py --host 0.0.0.0 --port 8190 > "${RUNNER_TEMP}/fake-openai.log" 2>&1 &
for _ in $(seq 1 30); do
curl -sf http://localhost:8190/health > /dev/null && exit 0
sleep 1
done
cat "${RUNNER_TEMP}/fake-openai.log"
exit 1
- name: Generate a master key
run: |
key="sk-$(openssl rand -hex 16)"
echo "::add-mask::${key}"
echo "LITELLM_MASTER_KEY=${key}" >> "${GITHUB_ENV}"
- name: Start the proxy container
run: |
docker run -d \
-p 4000:4000 \
-e DATABASE_URL=postgresql://postgres:postgres@host.docker.internal:5432/circle_test \
-e LITELLM_MASTER_KEY \
-e FAKE_OPENAI_API_BASE=http://host.docker.internal:8190 \
-e OTEL_EXPORTER=in_memory \
-e USE_DDTRACE=True \
-e GCS_FLUSH_INTERVAL=1 \
-e LITELLM_LOG=ERROR \
--add-host host.docker.internal:host-gateway \
--name litellm-build-from-pip \
-v "${GITHUB_WORKSPACE}/docker/build_from_pip/litellm_config.yaml:/app/config.yaml" \
litellm-build-from-pip:smoke \
--config /app/config.yaml \
--port 4000
for _ in $(seq 1 150); do
curl -sf --max-time 5 -o /dev/null http://localhost:4000 && exit 0
sleep 2
done
exit 1
- name: Run the startup tests
shell: bash
run: |
set -euo pipefail
base_url=http://localhost:4000
readiness_response="$(curl -sS --fail-with-body --write-out $'\n%{http_code}' "${base_url}/health/readiness")"
readiness_status="${readiness_response##*$'\n'}"
readiness_body="${readiness_response%$'\n'*}"
[[ "${readiness_status}" == "200" ]]
jq -e '.status == "healthy" or .status == "connected"' <<< "${readiness_body}" > /dev/null
liveness_status="$(curl -sS --fail-with-body --output /dev/null --write-out '%{http_code}' "${base_url}/health/liveness")"
[[ "${liveness_status}" == "200" ]]
completion_response="$(curl -sS --fail-with-body --write-out $'\n%{http_code}' \
--header "Authorization: Bearer ${LITELLM_MASTER_KEY}" \
--header 'Content-Type: application/json' \
--data '{"model":"gpt-4","messages":[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Hello!"}]}' \
"${base_url}/chat/completions")"
completion_status="${completion_response##*$'\n'}"
completion_body="${completion_response%$'\n'*}"
[[ "${completion_status}" == "200" ]]
jq -e '
(.choices | length) == 1 and
.choices[0].message.role == "assistant" and
.choices[0].message.content == "Hello! This is a mock response from the fake OpenAI endpoint."
' <<< "${completion_body}" > /dev/null
- name: Show the proxy logs
if: always()
run: docker logs litellm-build-from-pip || true
smoke-passed:
name: smoke passed
needs: [dashboard-build, core-checks]
needs: [dashboard-build, core-checks, all-extras, windows-sdk, proxy-build-from-pip]
if: always()
runs-on: ubuntu-latest
timeout-minutes: 2

View file

@ -16,9 +16,12 @@ on:
- "litellm/proxy/guardrails/**"
- "litellm/utils.py"
- "litellm/ocr/**"
- "litellm/chat_completions/dispatch.py"
- "litellm/embeddings/dispatch.py"
- "litellm/messages/dispatch.py"
- "litellm/responses/dispatch.py"
- "litellm/llms/base_llm/ocr/**"
- "litellm/llms/custom_httpx/llm_http_handler.py"
- "tests/test_litellm/conftest.py"
- "Makefile"
- ".cargo/**"
- "pyproject.toml"
@ -47,9 +50,12 @@ on:
- "litellm/proxy/guardrails/**"
- "litellm/utils.py"
- "litellm/ocr/**"
- "litellm/chat_completions/dispatch.py"
- "litellm/embeddings/dispatch.py"
- "litellm/messages/dispatch.py"
- "litellm/responses/dispatch.py"
- "litellm/llms/base_llm/ocr/**"
- "litellm/llms/custom_httpx/llm_http_handler.py"
- "tests/test_litellm/conftest.py"
- "Makefile"
- ".cargo/**"
- "pyproject.toml"

View file

@ -140,6 +140,7 @@ jobs:
tests/unit/batch_completion
tests/unit/decisions
tests/unit/litellm_core_utils
tests/unit/systemone
python-version: "3.12"
workers: 4
reruns: 0
@ -173,8 +174,6 @@ jobs:
- shard: integrations
test-path: |-
tests/test_litellm/integrations
tests/test_litellm/tracing
tests/unit/integrations
python-version: "3.12"
workers: 4
@ -234,6 +233,7 @@ jobs:
tests/unit/llms/base_llm
tests/unit/llms/baseten
tests/unit/llms/black_forest_labs
tests/unit/llms/brave
tests/unit/llms/bytez
tests/unit/llms/cerebras
tests/unit/llms/chat
@ -266,9 +266,11 @@ jobs:
tests/unit/llms/featherless_ai
tests/unit/llms/firecrawl
tests/unit/llms/fireworks_ai
tests/unit/llms/friendliai
tests/unit/llms/gdc
tests/unit/llms/gemini
tests/unit/llms/gigachat
tests/unit/llms/google_pse
tests/unit/llms/github_copilot
tests/unit/llms/gradient_ai
tests/unit/llms/groq
@ -291,6 +293,7 @@ jobs:
tests/unit/llms/manus
tests/unit/llms/meta_llama
tests/unit/llms/microsoft_365_copilot
tests/unit/llms/milvus
tests/unit/llms/minimax
tests/unit/llms/mistral
tests/unit/llms/modelscope
@ -300,6 +303,7 @@ jobs:
tests/unit/llms/nebius
tests/unit/llms/neosantara
tests/unit/llms/nimble
tests/unit/llms/nlp_cloud
tests/unit/llms/novita
tests/unit/llms/nscale
tests/unit/llms/nvidia_nim
@ -310,6 +314,7 @@ jobs:
tests/unit/llms/oobabooga
tests/unit/llms/openai_like
tests/unit/llms/opencode
tests/unit/llms/opensandbox
tests/unit/llms/openrouter
tests/unit/llms/ovhcloud
tests/unit/llms/parallel_ai
@ -317,6 +322,7 @@ jobs:
tests/unit/llms/pass_through
tests/unit/llms/perplexity
tests/unit/llms/pg_vector
tests/unit/llms/pi
tests/unit/llms/publicai
tests/unit/llms/ragflow
tests/unit/llms/recraft
@ -327,6 +333,7 @@ jobs:
tests/unit/llms/sagemaker
tests/unit/llms/sail
tests/unit/llms/sambanova
tests/unit/llms/scaledown
tests/unit/llms/sap
tests/unit/llms/scaleway
tests/unit/llms/searchapi
@ -341,10 +348,12 @@ jobs:
tests/unit/llms/tinyfish
tests/unit/llms/together_ai
tests/unit/llms/tool_loop
tests/unit/llms/topaz
tests/unit/llms/triton
tests/unit/llms/v0
tests/unit/llms/valkey
tests/unit/llms/vercel_ai_gateway
tests/unit/llms/vllm
tests/unit/llms/volcengine
tests/unit/llms/voyage
tests/unit/llms/wandb
@ -374,7 +383,6 @@ jobs:
- shard: root
test-path: >-
tests/test_litellm/test_*.py
tests/unit/test_*.py
python-version: "3.12"
workers: 4
@ -393,16 +401,6 @@ jobs:
job-timeout-minutes: 60
dist: loadscope
- shard: router-unit-tests
test-path: >-
tests/router_unit_tests
python-version: "3.12"
workers: 0
reruns: 0
timeout-minutes: 10
job-timeout-minutes: 60
dist: loadscope
- shard: endpoints
test-path: >-
tests/unit/a2a_protocol
@ -414,6 +412,7 @@ jobs:
tests/unit/embeddings
tests/unit/endpoints
tests/unit/files
tests/unit/fine_tuning
tests/unit/images
tests/unit/interactions
tests/unit/messages
@ -422,6 +421,7 @@ jobs:
tests/unit/rag
tests/unit/realtime_api
tests/unit/rerank_api
tests/unit/search
tests/unit/vector_stores
tests/unit/videos
python-version: "3.12"
@ -449,19 +449,21 @@ jobs:
test-path: >-
tests/unit/enterprise/enterprise_callbacks/test_callback_controls.py
tests/unit/enterprise/enterprise_callbacks/test_llm_guard.py
tests/unit/enterprise/enterprise_callbacks/test_pagerduty_alerting.py
tests/unit/enterprise/enterprise_callbacks/test_secret_detection.py
tests/unit/integration_support
tests/unit/models
tests/unit/repositories
tests/unit/secret_managers
tests/unit/skills/test_skills_main.py
tests/unit/telemetry tests/unit/proxy/telemetry
tests/unit/tracing
python-version: "3.12"
workers: 2
workers: 4
reruns: 0
timeout-minutes: 20
job-timeout-minutes: 60
dist: loadscope
dist: load
- shard: proxy-auth
test-path: |-
@ -566,7 +568,6 @@ jobs:
- shard: mcp-elicitation
test-path: |-
--override-ini=pythonpath=tests
tests/unit/experimental_mcp_client/test_mcp_client.py
tests/unit/proxy/_experimental/mcp_server/test_capabilities.py
tests/unit/proxy/_experimental/mcp_server/test_interactions.py
@ -574,9 +575,8 @@ jobs:
tests/unit/proxy/_experimental/mcp_server/test_mcp_server_manager.py
tests/unit/proxy/_experimental/mcp_server/test_mcp_server_tool_calls_and_headers.py
tests/unit/proxy/_experimental/mcp_server/test_operations.py
tests/integration/mcp/test_interactions.py
python-version: "3.12"
workers: 2
workers: 4
reruns: 0
timeout-minutes: 20
job-timeout-minutes: 60
@ -661,6 +661,7 @@ jobs:
- shard: proxy-extras
test-path: >-
tests/unit/litellm_proxy_extras
tests/unit/db_scripts
python-version: "3.12"
workers: 2
reruns: 0
@ -699,7 +700,6 @@ jobs:
tests/unit/responses/litellm_completion_transformation
tests/unit/responses/test_additional_tools.py
tests/unit/responses/test_custom_tool_call.py
tests/unit/responses/test_dispatch.py
tests/unit/responses/test_metadata_codex_callback.py
tests/unit/responses/test_no_duplicate_spend_logs.py
tests/unit/responses/test_null_test_fix.py
@ -772,7 +772,7 @@ jobs:
- shard: proxy-server-core
test-path: |-
tests/proxy_unit_tests/test_proxy_server_gemini_pass_through.py
tests/unit/proxy/pass_through_endpoints/test_llm_passthrough_endpoints.py
tests/unit/proxy/test__lazy_features.py
tests/unit/proxy/test_aproxy_startup.py
tests/unit/proxy/test_proxy_server.py
@ -803,6 +803,10 @@ jobs:
tests/unit/proxy/_experimental/mcp_server/test_discoverable_endpoints.py
tests/unit/proxy/_experimental/mcp_server/test_mcp_server_manager.py
tests/unit/proxy/_experimental/mcp_server/test_db_credentials.py
tests/unit/proxy/_experimental/mcp_server/test_gateway_dcr_flow.py
tests/unit/proxy/_experimental/mcp_server/test_mcp_oauth_passthrough_tools.py
tests/unit/proxy/_experimental/mcp_server/test_mcp_max_concurrent_requests.py
tests/unit/proxy/_experimental/mcp_server/faults/test_list_outcomes.py
tests/unit/proxy/_experimental/mcp_server/outbound_credentials
python-version: "3.12"
workers: 4
@ -811,9 +815,31 @@ jobs:
job-timeout-minutes: 60
dist: loadscope
- shard: mcp-server
test-path: |-
tests/unit/experimental_mcp_client
tests/unit/proxy/_experimental/mcp_server
tests/unit/responses/mcp
--ignore=tests/unit/experimental_mcp_client/test_mcp_client.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_capabilities.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_interactions.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_mcp_elicitation_handler.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_mcp_server_manager.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_mcp_server_tool_calls_and_headers.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_operations.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_discoverable_endpoints.py
--ignore=tests/unit/proxy/_experimental/mcp_server/test_db_credentials.py
--ignore=tests/unit/proxy/_experimental/mcp_server/outbound_credentials
python-version: "3.12"
workers: 4
reruns: 0
timeout-minutes: 20
job-timeout-minutes: 60
dist: loadscope
- shard: custom-logging
test-path: |-
tests/proxy_unit_tests/test_proxy_custom_logger.py
tests/unit/proxy/test_proxy_server_custom_logger.py
tests/unit/proxy/test_custom_callback_input.py
tests/unit/proxy/test_custom_logger_s3_gcs.py
python-version: "3.12"
@ -863,17 +889,6 @@ jobs:
job-timeout-minutes: 60
dist: loadscope
- shard: guardrails-tests
test-path: >-
tests/guardrails_tests
--deselect=tests/guardrails_tests/test_custom_guardrail.py::test_get_guardrail_dynamic_request_body_params
python-version: "3.12"
workers: 4
reruns: 2
timeout-minutes: 15
job-timeout-minutes: 60
dist: loadscope
- shard: budgets
test-path: |-
tests/unit/proxy/auth/test_default_end_user_budget_simple.py
@ -888,7 +903,7 @@ jobs:
- shard: endpoints-and-responses
test-path: |-
tests/proxy_unit_tests/test_proxy_exception_mapping.py
tests/unit/proxy/test_proxy_server_exception_mapping.py
tests/unit/proxy/lens
tests/unit/proxy/auth/test_models_fallback_endpoint.py
tests/unit/proxy/common_utils/test_check_batch_cost.py
@ -927,6 +942,7 @@ jobs:
timeout-minutes: 3
with:
persist-credentials: false
fetch-depth: ${{ matrix.shard == 'db-and-spend' && '0' || '1' }}
- name: Detect relevant changes
id: changes
@ -959,11 +975,13 @@ jobs:
with:
artifact: ${{ needs.rust-bridge.outputs.artifact }}
- name: Install dependencies
- name: Install dependencies and check schema
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 8
env:
RUST_BRIDGE_ARTIFACT: ${{ needs.rust-bridge.outputs.artifact }}
UNIT_SHARD: ${{ matrix.shard }}
SCHEMA_BASE_REF: origin/${{ github.event.repository.default_branch }}
run: |
diff -u model_prices_and_context_window.json litellm/model_prices_and_context_window_backup.json
if [ -z "$RUST_BRIDGE_ARTIFACT" ]; then
@ -975,6 +993,9 @@ jobs:
uv run --no-sync python -c "import importlib.metadata; import litellm.rust_bridge._native; print(importlib.metadata.version('litellm'))"
fi
uv run --no-sync python -c 'import os, sys; print(sys.version); assert f"{sys.version_info.major}.{sys.version_info.minor}" == os.environ["UV_PYTHON"]'
if [ "$UNIT_SHARD" = "db-and-spend" ]; then
uv run --no-sync python scripts/check_schema_compatibility.py --base-ref "$SCHEMA_BASE_REF"
fi
- name: Cache Prisma binaries
if: steps.changes.outputs.decision != 'skip'
@ -1338,6 +1359,114 @@ jobs:
- name: Check consumer types with the installed SDK
if: steps.changes.outputs.decision != 'skip'
run: uv run --no-sync basedpyright --pythonpath .venv/bin/python --project tests/typing/pyrightconfig.json
redis-compat:
name: redis-py ${{ matrix.redis-py }} compatibility
needs: rust-bridge
if: ${{ !cancelled() }}
permissions:
contents: read
id-token: write
pull-requests: read
runs-on: ubuntu-latest
timeout-minutes: 25
strategy:
fail-fast: false
matrix:
redis-py: ["5.3.1", "6.4.0", "7.4.1", "8.0.1"]
env:
UV_PYTHON: "3.12"
LITELLM_LOCAL_MODEL_COST_MAP: "True"
REDIS_PY_VERSION: ${{ matrix.redis-py }}
steps:
- uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
timeout-minutes: 3
with:
persist-credentials: false
- name: Detect relevant changes
id: changes
timeout-minutes: 2
uses: ./.github/actions/detect-changes
with:
category: redis-compat
- name: Set up Python
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 3
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ env.UV_PYTHON }}
- name: Set up uv
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 3
uses: ./.github/actions/setup-uv-with-retries
with:
version: "0.10.9"
- name: Cache uv dependencies
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 5
uses: ./.github/actions/cache-uv-downloads
- name: Set up the Rust build
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 5
uses: ./.github/actions/rust-bridge
with:
artifact: ${{ needs.rust-bridge.outputs.artifact }}
- name: Install dependencies with redis-py ${{ matrix.redis-py }}
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 8
env:
RUST_BRIDGE_ARTIFACT: ${{ needs.rust-bridge.outputs.artifact }}
run: |
if [ -z "$RUST_BRIDGE_ARTIFACT" ]; then
.github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml --extra caching --extra extra_proxy --extra proxy-runtime --extra utils
else
.github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml --extra caching --extra extra_proxy --extra proxy-runtime --extra utils --no-install-project
uv pip install --no-deps --python .venv/bin/python rust-bridge-dist/*.whl
cp rust-bridge-dist/litellm/rust_bridge/_native.abi3.so litellm/rust_bridge/_native.abi3.so
fi
uv pip install --python .venv/bin/python "redis==${REDIS_PY_VERSION:?}"
uv run --no-sync python -c 'import os, redis; assert redis.__version__ == os.environ["REDIS_PY_VERSION"], redis.__version__'
- name: Install redis-server 7.2.16
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 5
run: |
mkdir -p "$RUNNER_TEMP/redis-bin"
cid="$(docker create redis:7.2.16@sha256:0637954999d01b7c9ce9167db2da50656e2590d3b884f1c600c5f63bb6e6773c)"
docker cp "${cid}:/usr/local/bin/redis-server" "$RUNNER_TEMP/redis-bin/redis-server"
docker rm "$cid"
"$RUNNER_TEMP/redis-bin/redis-server" --version | grep -q 'v=7.2.16'
echo "$RUNNER_TEMP/redis-bin" >> "$GITHUB_PATH"
- name: Run Redis compatibility tests
if: steps.changes.outputs.decision != 'skip'
timeout-minutes: 15
env:
COVERAGE_CORE: sysmon
run: |
uv run --no-sync pytest \
tests/unit/test_redis.py \
tests/unit/caching/test_redis_connection_pool.py \
tests/unit/caching/test_redis_cluster_cache.py \
tests/unit/caching/test_evicted_client_closer.py \
--tb=short -vv -rs -p no:rerunfailures -p no:pytest-retry --timeout=120 --durations=20 \
--cov=./litellm --cov-report=xml:coverage.xml
- name: Upload redis-py ${{ matrix.redis-py }} coverage to Codecov
if: always() && steps.changes.outputs.decision != 'skip' && matrix.redis-py == '5.3.1'
continue-on-error: true
uses: codecov/codecov-action@0fb7174895f61a3b6b78fc075e0cd60383518dac # v5.5.5
with:
use_oidc: true
files: coverage.xml
root_dir: ${{ github.workspace }}
flags: redis-compat
fail_ci_if_error: false
coverage:
name: coverage
needs: unit
@ -1383,10 +1512,20 @@ jobs:
root_dir: ${{ github.workspace }}
flags: unit
fail_ci_if_error: false
- name: Upload MCP server coverage under its own flag
continue-on-error: true
uses: codecov/codecov-action@0fb7174895f61a3b6b78fc075e0cd60383518dac # v5.5.5
with:
use_oidc: true
files: coverage-reports/coverage-mcp-server-${{ github.run_id }}-${{ github.run_attempt }}/coverage.xml
root_dir: ${{ github.workspace }}
flags: mcp-integration
fail_ci_if_error: false
unit-passed:
name: unit passed
permissions: {}
needs: [rust-bridge, assert-shard-coverage, unit, ui-unit, docs, helm, openai-sdk-compat]
needs: [rust-bridge, assert-shard-coverage, unit, ui-unit, docs, helm, openai-sdk-compat, redis-compat]
if: always()
runs-on: ubuntu-latest
timeout-minutes: 2

View file

@ -63,7 +63,7 @@ jobs:
- name: Start the proxy
run: |
nohup uv run --no-sync litellm --config tests/e2e/load/weekly_anomaly_config.yml --port 4000 > proxy.log 2>&1 &
nohup uv run --no-sync litellm --config tests/e2e/perf/weekly_anomaly_config.yml --port 4000 > proxy.log 2>&1 &
for _ in $(seq 1 90); do
if curl -fs http://localhost:4000/health/liveliness > /dev/null; then
exit 0
@ -78,7 +78,7 @@ jobs:
env:
E2E_WEEKLY_ANOMALY: "1"
run: |
uv run --no-sync pytest tests/e2e/load/test_weekly_session_anomaly_e2e.py -v --tb=short -rA
uv run --no-sync pytest tests/e2e/perf/test_weekly_session_anomaly_e2e.py -v --tb=short -rA
- name: Show proxy log on failure
if: failure()

View file

@ -1,473 +0,0 @@
{
"files": [
{
"path": "litellm/_v2/AGENTS.md",
"description": "Conventions for code under litellm/_v2/",
"scope": [
"litellm/_v2/**"
]
},
{
"path": "litellm/_v2/cache/AGENTS.md",
"description": "Conventions for code under litellm/_v2/cache/",
"scope": [
"litellm/_v2/cache/**"
]
},
{
"path": "litellm/proxy/_experimental/mcp_server/AGENTS.md",
"description": "Conventions for code under litellm/proxy/_experimental/mcp_server/",
"scope": [
"litellm/proxy/_experimental/mcp_server/**"
]
},
{
"path": "litellm/rust_bridge/AGENTS.md",
"description": "Conventions for code under litellm/rust_bridge/",
"scope": [
"litellm/rust_bridge/**"
]
},
{
"path": "litellm/tracing/AGENTS.md",
"description": "Conventions for code under litellm/tracing/",
"scope": [
"litellm/tracing/**"
]
},
{
"path": "litellm-rust/AGENTS.md",
"description": "Conventions for code under litellm-rust/",
"scope": [
"litellm-rust/**"
]
},
{
"path": "litellm-rust/crates/cache-response/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/cache-response/",
"scope": [
"litellm-rust/crates/cache-response/**"
]
},
{
"path": "litellm-rust/crates/callbacks-legacy-python/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/callbacks-legacy-python/",
"scope": [
"litellm-rust/crates/callbacks-legacy-python/**"
]
},
{
"path": "litellm-rust/crates/coroutine/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/coroutine/",
"scope": [
"litellm-rust/crates/coroutine/**"
]
},
{
"path": "litellm-rust/crates/gateway/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/gateway/",
"scope": [
"litellm-rust/crates/gateway/**"
]
},
{
"path": "litellm-rust/crates/gateway-auth/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/gateway-auth/",
"scope": [
"litellm-rust/crates/gateway-auth/**"
]
},
{
"path": "litellm-rust/crates/gateway-inference/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/gateway-inference/",
"scope": [
"litellm-rust/crates/gateway-inference/**"
]
},
{
"path": "litellm-rust/crates/gateway-mcp/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/gateway-mcp/",
"scope": [
"litellm-rust/crates/gateway-mcp/**"
]
},
{
"path": "litellm-rust/crates/host/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/host/",
"scope": [
"litellm-rust/crates/host/**"
]
},
{
"path": "litellm-rust/crates/host/src/machine/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/host/src/machine/",
"scope": [
"litellm-rust/crates/host/src/machine/**"
]
},
{
"path": "litellm-rust/crates/host-http/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/host-http/",
"scope": [
"litellm-rust/crates/host-http/**"
]
},
{
"path": "litellm-rust/crates/host-native/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/host-native/",
"scope": [
"litellm-rust/crates/host-native/**"
]
},
{
"path": "litellm-rust/crates/host-python/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/host-python/",
"scope": [
"litellm-rust/crates/host-python/**"
]
},
{
"path": "litellm-rust/crates/http/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/http/",
"scope": [
"litellm-rust/crates/http/**"
]
},
{
"path": "litellm-rust/crates/inference/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference/",
"scope": [
"litellm-rust/crates/inference/**"
]
},
{
"path": "litellm-rust/crates/inference-chat/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference-chat/",
"scope": [
"litellm-rust/crates/inference-chat/**"
]
},
{
"path": "litellm-rust/crates/inference-messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference-messages/",
"scope": [
"litellm-rust/crates/inference-messages/**"
]
},
{
"path": "litellm-rust/crates/inference-ocr/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference-ocr/",
"scope": [
"litellm-rust/crates/inference-ocr/**"
]
},
{
"path": "litellm-rust/crates/inference-responses/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference-responses/",
"scope": [
"litellm-rust/crates/inference-responses/**"
]
},
{
"path": "litellm-rust/crates/inference-transcription/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/inference-transcription/",
"scope": [
"litellm-rust/crates/inference-transcription/**"
]
},
{
"path": "litellm-rust/crates/llms/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/",
"scope": [
"litellm-rust/crates/llms/**"
]
},
{
"path": "litellm-rust/crates/llms/src/anthropic/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/anthropic/",
"scope": [
"litellm-rust/crates/llms/src/anthropic/**"
]
},
{
"path": "litellm-rust/crates/llms/src/anthropic/batches/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/anthropic/batches/",
"scope": [
"litellm-rust/crates/llms/src/anthropic/batches/**"
]
},
{
"path": "litellm-rust/crates/llms/src/anthropic/count_tokens/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/anthropic/count_tokens/",
"scope": [
"litellm-rust/crates/llms/src/anthropic/count_tokens/**"
]
},
{
"path": "litellm-rust/crates/llms/src/anthropic/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/anthropic/messages/",
"scope": [
"litellm-rust/crates/llms/src/anthropic/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/aws_textract/ocr/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/aws_textract/ocr/",
"scope": [
"litellm-rust/crates/llms/src/aws_textract/ocr/**"
]
},
{
"path": "litellm-rust/crates/llms/src/azure_ai/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/azure_ai/messages/",
"scope": [
"litellm-rust/crates/llms/src/azure_ai/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/base_llm/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/base_llm/messages/",
"scope": [
"litellm-rust/crates/llms/src/base_llm/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/bedrock/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/bedrock/messages/",
"scope": [
"litellm-rust/crates/llms/src/bedrock/messages/**"
]
},
{
"path": "litellm-rust/crates/llms-types/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms-types/",
"scope": [
"litellm-rust/crates/llms-types/**"
]
},
{
"path": "litellm-rust/crates/llms-types/src/formats/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms-types/src/formats/",
"scope": [
"litellm-rust/crates/llms-types/src/formats/**"
]
},
{
"path": "litellm-rust/crates/llms-types/src/formats/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms-types/src/formats/messages/",
"scope": [
"litellm-rust/crates/llms-types/src/formats/messages/**"
]
},
{
"path": "litellm-rust/crates/llms-types/src/providers/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms-types/src/providers/",
"scope": [
"litellm-rust/crates/llms-types/src/providers/**"
]
},
{
"path": "litellm-rust/crates/model-catalog/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/model-catalog/",
"scope": [
"litellm-rust/crates/model-catalog/**"
]
},
{
"path": "litellm-rust/crates/python-bridge/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-bridge/",
"scope": [
"litellm-rust/crates/python-bridge/**"
]
},
{
"path": "litellm-rust/crates/python-bridge/src/cache/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-bridge/src/cache/",
"scope": [
"litellm-rust/crates/python-bridge/src/cache/**"
]
},
{
"path": "litellm-rust/crates/python-bridge/src/cache/native/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-bridge/src/cache/native/",
"scope": [
"litellm-rust/crates/python-bridge/src/cache/native/**"
]
},
{
"path": "litellm-rust/crates/python-bridge/src/cache/python/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-bridge/src/cache/python/",
"scope": [
"litellm-rust/crates/python-bridge/src/cache/python/**"
]
},
{
"path": "litellm-rust/crates/python-bridge/src/routes/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-bridge/src/routes/",
"scope": [
"litellm-rust/crates/python-bridge/src/routes/**"
]
},
{
"path": "litellm-rust/crates/python-compat/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/python-compat/",
"scope": [
"litellm-rust/crates/python-compat/**"
]
},
{
"path": "litellm-rust/crates/secrets-aws/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/secrets-aws/",
"scope": [
"litellm-rust/crates/secrets-aws/**"
]
},
{
"path": "litellm-rust/crates/secrets-azure/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/secrets-azure/",
"scope": [
"litellm-rust/crates/secrets-azure/**"
]
},
{
"path": "litellm-rust/crates/secrets-cyberark/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/secrets-cyberark/",
"scope": [
"litellm-rust/crates/secrets-cyberark/**"
]
},
{
"path": "litellm-rust/crates/secrets-google/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/secrets-google/",
"scope": [
"litellm-rust/crates/secrets-google/**"
]
},
{
"path": "litellm-rust/crates/secrets-hashicorp/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/secrets-hashicorp/",
"scope": [
"litellm-rust/crates/secrets-hashicorp/**"
]
},
{
"path": "litellm-rust/crates/storage-clickhouse/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/storage-clickhouse/",
"scope": [
"litellm-rust/crates/storage-clickhouse/**"
]
},
{
"path": "litellm-rust/docs/adrs/AGENTS.md",
"description": "Conventions for code under litellm-rust/docs/adrs/",
"scope": [
"litellm-rust/docs/adrs/**"
]
},
{
"path": "tests/AGENTS.md",
"description": "Conventions for code under tests/",
"scope": [
"tests/**"
]
},
{
"path": "tests/e2e/AGENTS.md",
"description": "Conventions for code under tests/e2e/",
"scope": [
"tests/e2e/**"
]
},
{
"path": "tests/e2e_harness/AGENTS.md",
"description": "Conventions for code under tests/e2e_harness/",
"scope": [
"tests/e2e_harness/**"
]
},
{
"path": "tests/integration/AGENTS.md",
"description": "Conventions for code under tests/integration/",
"scope": [
"tests/integration/**"
]
},
{
"path": "tests/integration/translation/AGENTS.md",
"description": "Conventions for code under tests/integration/translation/",
"scope": [
"tests/integration/translation/**"
]
},
{
"path": "tests/rust-python-harness/AGENTS.md",
"description": "Conventions for code under tests/rust-python-harness/",
"scope": [
"tests/rust-python-harness/**"
]
},
{
"path": "tests/rust-python-harness/strategies/e2e_parity/AGENTS.md",
"description": "Conventions for code under tests/rust-python-harness/strategies/e2e_parity/",
"scope": [
"tests/rust-python-harness/strategies/e2e_parity/**"
]
},
{
"path": "tests/rust-python-harness/strategies/trace_parity/AGENTS.md",
"description": "Conventions for code under tests/rust-python-harness/strategies/trace_parity/",
"scope": [
"tests/rust-python-harness/strategies/trace_parity/**"
]
},
{
"path": "tests/rust-python-harness/strategies/unit_tests_parity/AGENTS.md",
"description": "Conventions for code under tests/rust-python-harness/strategies/unit_tests_parity/",
"scope": [
"tests/rust-python-harness/strategies/unit_tests_parity/**"
]
},
{
"path": "tests/rust-python-harness/strategies/unit_tests_rust/AGENTS.md",
"description": "Conventions for code under tests/rust-python-harness/strategies/unit_tests_rust/",
"scope": [
"tests/rust-python-harness/strategies/unit_tests_rust/**"
]
},
{
"path": "tests/test_litellm_rust/AGENTS.md",
"description": "Conventions for code under tests/test_litellm_rust/",
"scope": [
"tests/test_litellm_rust/**"
]
},
{
"path": "tests/unit/AGENTS.md",
"description": "Conventions for code under tests/unit/",
"scope": [
"tests/unit/**"
]
},
{
"path": "tests/unit/rust_bridge/AGENTS.md",
"description": "Conventions for code under tests/unit/rust_bridge/",
"scope": [
"tests/unit/rust_bridge/**"
]
},
{
"path": "ui/litellm-dashboard/AGENTS.md",
"description": "Conventions for code under ui/litellm-dashboard/",
"scope": [
"ui/litellm-dashboard/**"
]
},
{
"path": "ui/litellm-dashboard/src/components/chat/AGENTS.md",
"description": "Conventions for code under ui/litellm-dashboard/src/components/chat/",
"scope": [
"ui/litellm-dashboard/src/components/chat/**"
]
}
]
}

View file

@ -23,13 +23,13 @@ When adding new features, add meaningful tests. Don't add tests that don't check
Same thing for bug fixes. The tests should make it so that this specific bug can never happen again without failing tests (i.e., regression)
Never test structure of code only function of it
Never test structure or implementation details of code, only function of it. A test should catch a change that breaks behavior by accident. If the only way it can fail is someone deliberately undoing the change, don't write it
A test must only fail when litellm code changes. Never pin facts we don't own (a vendor's price, a third party's field, an upstream default, today's date) as literals or as "X must be absent". Assert the invariant our code guarantees instead, e.g. two rows agree, a value is within range, a field is derived from another. If an outside fact is truly load-bearing, cite its source and date next to the assertion so a reader can tell stale from broken
`tests/unit/` mirrors `litellm/` in a parallel path (see `tests/unit/AGENTS.md`). Name tests `test_<filename>.py`, but always match the existing test file in the directory you touch — many provider dirs use longer descriptive names (e.g. `test_anthropic_chat_transformation.py`) to avoid ambiguity across sibling folders. For bug fixes, extend the existing mapped test file rather than creating a new one. Only create a new test file for a new feature (provider, endpoint, or transformation module) that has no mapped test yet, following that directory's naming convention (or `test_<filename>.py` if you're the first test there). One focused regression test beats many shallow ones
End-to-end tests belong in `tests/e2e/` and must follow the harness conventions documented in that directory's `AGENTS.md`
End-to-end tests belong in `tests/e2e/`. A rule about one directory's files, like its harness or which CI runs it, goes in that directory's `AGENTS.md`, never only in a README or here. Read a directory's `AGENTS.md` before editing files in it
When creating PRs, target the repository's current default branch for both internal and external / OSS contributions. Check it with `python3 scripts/default_branch.py --branch` instead of assuming a branch name or relying on cached `origin/HEAD`
@ -54,7 +54,7 @@ Don't hesitate to use values in .env to get needed API keys and other secrets, a
Python max line length is 120, not 88
The four lint gates (`scripts/ruff_strict_gate.py`, `scripts/type_discipline_gate.py`, `scripts/test_quality_gate.py`, `scripts/type_check_gate.py`) compare each rule's codebase count on your branch against the count at its merge-base with the default branch, and a rule may not grow. There are no budget files to edit or ratchet: when a gate fails, fix the violations the branch introduced or remove at least as many of that rule elsewhere in the tree. The one exception is `reportAny` / `reportExplicitAny`, which share a fixed codebase-wide cap in `ANY_CAPS` in `scripts/type_check_gate.py` because Any spreads past the lines you touch. A branch may add Anys while the total stays under that cap. Only lower `ANY_CAPS`, and only in its own PR to the default branch, never raise it on a feature branch
The five lint gates (`scripts/ruff_strict_gate.py`, `scripts/type_discipline_gate.py`, `scripts/test_quality_gate.py`, `scripts/openapi_docs_gate.py`, `scripts/type_check_gate.py`) compare each rule's codebase count on your branch against the count at its merge-base with the default branch, and a rule may not grow. There are no budget files to edit or ratchet: when a gate fails, fix the violations the branch introduced or remove at least as many of that rule elsewhere in the tree. The one exception is `reportAny` / `reportExplicitAny`, which share a fixed codebase-wide cap in `ANY_CAPS` in `scripts/type_check_gate.py` because Any spreads past the lines you touch. A branch may add Anys while the total stays under that cap. Only lower `ANY_CAPS`, and only in its own PR to the default branch, never raise it on a feature branch
`make check` (f.k.a. `make pre-commit`, which still works identically as an alias) saves its complete output to a log file in .git (overwriting previous logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice
@ -72,7 +72,7 @@ When referencing or running models (coding, QA'ing, writing docs, writing tests,
Always pull before starting any work. The checkout or worktree may be sitting on a stale branch
If you're an internal contributor, when creating a new PR, the typical flow is to branch off the repository's current default branch and create a branch prefixed with litellm_. Do not create a branch prefixed with claude/ and generally do not have / in your branch names
Internal contributors branch a new PR off the repository's current default branch, with a branch name prefixed with litellm_
Do not add `Co-Authored-By: Claude` or any Claude attribution to commit messages. Never use a `claude/` prefix or put a `/` in a branch name. Do not add "Generated with Claude Code" (or any similar attribution) to PR descriptions or comments. Do not create a new PR/branch off the existing PR to fix/add something that is related and could've just been committed directly to the existing PR's branch
@ -130,4 +130,4 @@ Before implementing:
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify
Before requesting maintainer review, verify the current PR tip passes required CI and code coverage, meets Greptile confidence of at least 4/5, and has acceptable Veria and Bugbot reviews. Inspect warnings and findings, fix actionable issues, and rerun the affected checks and reviewers after changes. Record evidence for any false positive or unavailable review. Never treat a pending or missing bot result as a pass. Do not lower coverage thresholds or raise `ANY_CAPS` to satisfy a check
Before requesting maintainer review, verify the current PR tip passes required CI and code coverage and has acceptable reviews from the review bots on the PR, such as Veria and Bugbot. Inspect warnings and findings, fix actionable issues, and rerun the affected checks and reviewers after changes. Record evidence for any false positive or unavailable review. Never treat a pending or missing bot result as a pass. Do not lower coverage thresholds or raise `ANY_CAPS` to satisfy a check

View file

@ -39,12 +39,12 @@ git clone https://github.com/YOUR_USERNAME/litellm.git
cd litellm
# Create a new branch for your feature (see "Commit and Branch Conventions" below)
git checkout -b feature/your-feature
git checkout -b litellm_your_feature
# Install development dependencies
make install-dev
# Install git hooks that enforce commit + branch conventions (one-time, opt-in)
# Install git hooks that enforce commit conventions (one-time, opt-in)
make install-hooks
# Verify your setup works
@ -55,7 +55,7 @@ That's it! Your local development environment is ready.
## Commit and Branch Conventions
Commits follow [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) and branches follow [Conventional Branches](https://conventional-branch.github.io/). Run `make install-hooks` once per clone to enable the local git hooks that enforce these — see the [contributor docs](https://docs.litellm.ai/docs/extras/contributing_code#commit-and-branch-conventions) for the full type list, examples, the protected-branch bypass list, and how to opt out.
Commits follow [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/). Internal contributors name branches with the `litellm_` prefix and no `/`, and fork branches can use any name. Run `make install-hooks` once per clone to enable the local hook that enforces the commit convention. See the [contributor docs](https://docs.litellm.ai/docs/extras/contributing_code#commit-and-branch-conventions) for details
### 2. Development Workflow
@ -78,8 +78,8 @@ uv run pytest tests/unit/<your_test_file>.py -v
git add .
git commit -m "feat(scope): your descriptive commit message"
# Push and create a PR (branch must follow Conventional Branches — see above)
git push origin feature/your-feature
# Push and create a PR
git push origin litellm_your_feature
```
## Adding Testing

View file

@ -7,7 +7,7 @@
test-rust-extension rust-sqlx-prepare \
info lint lint-inner lint-dev lint-checks format \
lint-basedpyright lint-e2e-basedpyright lint-type-discipline \
lint-ruff-strict lint-gate lint-test-quality \
lint-ruff-strict lint-gate lint-test-quality lint-openapi-docs \
install-dev install-proxy-dev install-test-deps install-hooks \
install-helm-unittest check-circular-imports check-import-safety check check-inner pre-commit \
lint-install lint-fetch-base bootstrap
@ -22,7 +22,7 @@ help:
@echo " make install-proxy-dev-ci - Install proxy dev dependencies (CI-compatible)"
@echo " make install-test-deps - Install the full local test environment"
@echo " make install-helm-unittest - Install helm unittest plugin"
@echo " make install-hooks - Install git hooks (Conventional Commits + Branches)"
@echo " make install-hooks - Install git hooks (Conventional Commits)"
@echo " make check - Run CI-equivalent lint on staged files, or on the diff vs the base branch when nothing is staged"
@echo " make pre-commit - Legacy alias for make check"
@echo " make format - Apply ruff format code formatting"
@ -35,10 +35,11 @@ help:
@echo " make lint-ruff-strict - Gate each strict ruff rule's codebase total against its merge-base count"
@echo " make lint-gate - Strict ruff gate in CI-parity mode (fetches the default branch, simulates the merge)"
@echo " make lint-test-quality - Gate the test suite's TQ counts against their merge-base counts"
@echo " make lint-openapi-docs - Gate undocumented POST routes in the proxy OpenAPI document against their merge-base counts"
@echo " make check-circular-imports - Check for circular imports"
@echo " make check-import-safety - Check import safety"
@echo " make test - Run all tests"
@echo " make test-unit - Run unit tests (tests/unit and tests/test_litellm)"
@echo " make test-unit - Run unit tests (tests/unit)"
@echo " make test-unit-llms - Run LLM provider tests (~225 files)"
@echo " make test-unit-proxy-guardrails - Run proxy guardrails+mgmt tests (~51 files)"
@echo " make test-unit-proxy-core - Run proxy auth+client+db+hooks tests (~52 files)"
@ -119,7 +120,7 @@ install-helm-unittest:
helm plugin install https://github.com/helm-unittest/helm-unittest --version v0.8.2; \
}
# Install git hooks that enforce Conventional Commits and Conventional Branches.
# Install git hooks that enforce Conventional Commits.
# Opt-in: not chained into install-dev.
install-hooks:
./scripts/install_git_hooks.sh
@ -219,6 +220,12 @@ lint-type-discipline: $(LINT_DEP_INSTALL) $(LINT_DEP_BASE)
lint-test-quality: $(LINT_DEP_INSTALL) $(LINT_DEP_BASE)
$(UV_RUN) python scripts/test_quality_gate.py --base "$(BASE_REF)"
# OpenAPI docs gate (POST routes without a request body schema, a description or a
# 200 schema in app.openapi()), counted the same delta-vs-base way so a new endpoint
# has to show up documented in Swagger UI.
lint-openapi-docs: $(LINT_DEP_INSTALL) $(LINT_DEP_BASE)
$(UV_RUN) python scripts/openapi_docs_gate.py --base "$(BASE_REF)"
lint-format: format-check
lint-ruff-strict: install-dev
@ -250,7 +257,7 @@ lint-inner: lint-install
@base_ref=$$($(RESOLVE_BASE)) && \
$(MAKE) BASE_REF="$$base_ref" -j $(LINT_JOBS) $(LINT_OUTPUT_SYNC) LINT_DEP_INSTALL= LINT_E2E_DEP_INSTALL= LINT_DEP_BASE= lint-checks
lint-checks: lint-format-check-changed lint-ruff lint-gate lint-type-discipline lint-test-quality lint-basedpyright lint-e2e-basedpyright check-circular-imports check-import-safety
lint-checks: lint-format-check-changed lint-ruff lint-gate lint-type-discipline lint-test-quality lint-openapi-docs lint-basedpyright lint-e2e-basedpyright check-circular-imports check-import-safety
# Faster linting for local development (only checks changed code)
lint-dev: lint-format-changed check-circular-imports check-import-safety
@ -283,7 +290,7 @@ test-rust-extension:
"$$temporary/venv/bin/python" -I -m mypy.stubtest \
--mypy-config-file tests/unit/rust_bridge/stubtest.ini \
litellm.rust_bridge._native && \
LITELLM_RUST=1 LITELLM_LOCAL_MODEL_COST_MAP=True \
LITELLM_LOCAL_MODEL_COST_MAP=True \
"$$temporary/venv/bin/python" -I -m pytest --import-mode=importlib -m requires_rust_extension tests/test_litellm_rust
rust-sqlx-prepare:
@ -293,7 +300,7 @@ test: install-test-deps
$(UV_RUN) pytest tests/
test-unit: install-test-deps
$(UV_RUN) pytest tests/unit tests/test_litellm -x -vv -n 4
$(UV_RUN) pytest tests/unit -x -vv -n 4
# Matrix test targets (matching CI workflow groups)
test-unit-llms: install-test-deps
@ -321,7 +328,7 @@ test-unit-other: install-test-deps
$(UV_RUN) pytest tests/unit/caching tests/unit/responses tests/unit/secret_managers tests/unit/vector_stores tests/unit/a2a_protocol tests/unit/completion_extras tests/unit/containers tests/unit/enterprise tests/unit/experimental_mcp_client tests/unit/google_genai tests/unit/images tests/unit/interactions tests/unit/router_strategy tests/unit/router_utils tests/unit/types --tb=short -vv -n 4 --durations=20
test-unit-root: install-test-deps
$(UV_RUN) pytest tests/unit/test_*.py tests/test_litellm/test_*.py --tb=short -vv -n 4 --durations=20
$(UV_RUN) pytest tests/unit/test_*.py --tb=short -vv -n 4 --durations=20
# Proxy unit tests (tests/unit/proxy split alphabetically)
test-proxy-unit-a: install-test-deps
@ -331,7 +338,7 @@ test-proxy-unit-b: install-test-deps
$(UV_RUN) pytest tests/unit/proxy/test_[p-z]*.py tests/unit/skills --tb=short -vv -n 2 --durations=20
test-integration: install-test-deps
$(UV_RUN) pytest tests/ -k "not test_litellm"
$(UV_RUN) pytest tests/
test-unit-helm: install-helm-unittest
helm unittest -f 'tests/*.yaml' helm/litellm-helm

View file

@ -9,7 +9,7 @@
<a href="https://render.com/deploy?repo=https://github.com/BerriAI/litellm" target="_blank" rel="nofollow"><img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" height="40"></a>
<a href="https://railway.com/deploy/RhvhdC?referralCode=7mRv9K&utm_medium=integration&utm_source=template&utm_campaign=generic"><img src="https://railway.com/button.svg" alt="Deploy on Railway" height="40"></a>
<a href="https://console.aws.amazon.com/cloudshell/home" target="_blank" rel="nofollow"><img src="./.github/deploy-on-aws.png" alt="Deploy on AWS" height="40"></a>
<a href="https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Flitellm&cloudshell_workspace=terraform%2Flitellm%2Fgcp%2Fexamples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true" target="_blank" rel="nofollow"><img src="./.github/deploy-on-gcp.png" alt="Deploy on GCP" height="40"></a>
<a href="https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Fterraform-google-litellm&cloudshell_git_branch=v1.105.0&cloudshell_workspace=examples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true" target="_blank" rel="nofollow"><img src="./.github/deploy-on-gcp.png" alt="Deploy on GCP" height="40"></a>
</p>
</p>
<h4 align="center"><a href="https://docs.litellm.ai/docs/simple_proxy" target="_blank">LiteLLM Proxy Server (AI Gateway)</a> | <a href="https://docs.litellm.ai/docs/enterprise#hosted-litellm-proxy" target="_blank"> Hosted Proxy</a> | <a href="https://litellm.ai/enterprise"target="_blank">Enterprise Tier</a> | <a href="https://www.litellm.ai/ai-gateway" target="_blank">Website</a></h4>
@ -287,7 +287,7 @@ For MCP OAuth, an upstream may advertise dynamic client registration but refuse
</details>
<details>
<summary><b>Agents</b> - Run Claude Code, Codex, OpenCode or Deep Agents on any model (Python SDK)</summary>
<summary><b>Agents</b> - Run Claude Code, Codex, OpenCode, pi or Deep Agents on any model (Python SDK)</summary>
### Python SDK - Agents
@ -296,7 +296,7 @@ import litellm
from litellm import Harness, sandbox
result = litellm.agent(
Harness.CLAUDE_CODE, # or Harness.CODEX, Harness.OPENCODE, Harness.DEEPAGENTS
Harness.CLAUDE_CODE, # or Harness.CODEX, Harness.OPENCODE, Harness.PI, Harness.DEEPAGENTS
"Find why tests/test_router.py is flaky and fix it.",
sandbox=sandbox.local("./repo"),
model="litellm_proxy/claude-sonnet-4-5", # a model group on your AI Gateway
@ -305,7 +305,7 @@ result = litellm.agent(
print(result.text, result.cost, [f.path for f in result.files])
```
Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call the agent makes goes through your AI Gateway, tagged `harness,claude_code`. Drop the `litellm_proxy/` prefix to call a provider directly. Install `starlette uvicorn` plus the agent's CLI (`claude`, `codex` or `opencode`), or `deepagents langchain-litellm` for Deep Agents.
Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call the agent makes goes through your AI Gateway, tagged `harness,claude_code`. Drop the `litellm_proxy/` prefix to call a provider directly. Install `starlette uvicorn` plus the agent's CLI (`claude`, `codex`, `opencode` or `pi`), or `deepagents langchain-litellm` for Deep Agents.
[**Docs: Agent Harnesses**](https://docs.litellm.ai/docs/harness)
@ -342,6 +342,7 @@ Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call th
| [Cohere Chat (`cohere_chat`)](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ | | | | | | | |
| [CometAPI (`cometapi`)](https://docs.litellm.ai/docs/providers/cometapi) | ✅ | ✅ | ✅ | ✅ | | | | | | |
| [CompactifAI (`compactifai`)](https://docs.litellm.ai/docs/providers/compactifai) | ✅ | ✅ | ✅ | | | | | | | |
| [CoralBricks (`coralbricks`)](https://docs.litellm.ai/docs/providers/coralbricks) | ✅ | ✅ | ✅ | | | | | | | |
| [Custom (`custom`)](https://docs.litellm.ai/docs/providers/custom_llm_server) | ✅ | ✅ | ✅ | | | | | | | |
| [Custom OpenAI (`custom_openai`)](https://docs.litellm.ai/docs/providers/openai_compatible) | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ | ✅ | |
| [Dashscope (`dashscope`)](https://docs.litellm.ai/docs/providers/dashscope) | ✅ | ✅ | ✅ | ✅ | | | | | | ✅ |
@ -383,6 +384,7 @@ Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call th
| [ModelScope (`modelscope`)](https://docs.litellm.ai/docs/providers/modelscope) | ✅ | ✅ | ✅ | | ✅ | | | | | |
| [Moonshot (`moonshot`)](https://docs.litellm.ai/docs/providers/moonshot) | ✅ | ✅ | ✅ | | | | | | | |
| [Morph (`morph`)](https://docs.litellm.ai/docs/providers/morph) | ✅ | ✅ | ✅ | | | | | | | |
| [Nace (`nace`)](https://console.nace.ai/docs/drex) | | | | | | | | | | |
| [Nebius AI Studio (`nebius`)](https://docs.litellm.ai/docs/providers/nebius) | ✅ | ✅ | ✅ | ✅ | | | | | | |
| [NLP Cloud (`nlp_cloud`)](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ | | | | | | | |
| [Novita AI (`novita`)](https://novita.ai/models/llm?utm_source=github_litellm&utm_medium=github_readme&utm_campaign=github_link) | ✅ | ✅ | ✅ | | | | | | | |
@ -407,6 +409,7 @@ Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call th
| [Sagemaker Chat (`sagemaker_chat`)](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ | | | | | | | |
| [Sail (`sail`)](https://docs.litellm.ai/docs/providers/sail) | ✅ | ✅ | ✅ | | | | | | | |
| [Sambanova (`sambanova`)](https://docs.litellm.ai/docs/providers/sambanova) | ✅ | ✅ | ✅ | | | | | | | |
| [ScaleDown (`scaledown`)](https://docs.litellm.ai/docs/providers/scaledown) | ✅ | | | | | | | | | |
| [Snowflake (`snowflake`)](https://docs.litellm.ai/docs/providers/snowflake) | ✅ | ✅ | ✅ | | | | | | | |
| [Strands Decider (`strands_decider`)](https://docs.litellm.ai/docs/providers) | | | | | | | | | | |
| [Text Completion Codestral (`text-completion-codestral`)](https://docs.litellm.ai/docs/providers/codestral) | ✅ | ✅ | ✅ | | | | | | | |
@ -525,9 +528,9 @@ Provider API keys live in AWS Secrets Manager; reference ARNs via `gateway_extra
#### GCP — Cloud Run + Cloud SQL + Memorystore + HTTPS LB
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.png)](https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Flitellm&cloudshell_workspace=terraform%2Flitellm%2Fgcp%2Fexamples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true)
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.png)](https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Fterraform-google-litellm&cloudshell_git_branch=v1.105.0&cloudshell_workspace=examples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true)
Real 1-click. Opens Cloud Shell, clones this repo, and walks you through `terraform apply` via a built-in [DeployStack tutorial](./terraform/litellm/gcp/examples/default/TUTORIAL.md) — pick the project, the tutorial sets up the Artifact Registry remote repo, writes `terraform.tfvars` from your answers, and runs apply.
Real 1-click. Opens Cloud Shell, clones the [terraform-google-litellm](https://github.com/BerriAI/terraform-google-litellm) module mirror at the latest stable release (a small download instead of the full litellm repo), and walks you through `terraform apply` via a built-in [DeployStack tutorial](./terraform/litellm/gcp/examples/default/TUTORIAL.md). Pick the project, the tutorial sets up the Artifact Registry remote repo, writes `terraform.tfvars` from your answers, and runs apply
[Module page →](https://registry.terraform.io/modules/BerriAI/litellm/google/latest)

View file

@ -4,6 +4,33 @@ ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2
FROM $UV_IMAGE AS uvbin
# ---------- Rust extension ----------
# Copies only the native build's inputs, so the fat-LTO compile stays cached across Python-only changes
FROM $LITELLM_BUILD_IMAGE AS rust-native
WORKDIR /app
USER root
COPY --from=uvbin /uv /uvx /usr/local/bin/
RUN for i in 1 2 3; do \
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl openssl-dev && break; \
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
sleep 5; \
done
ENV UV_PYTHON_DOWNLOADS=0
COPY pyproject.toml README.md rust-toolchain.toml ./
COPY .cargo ./.cargo
COPY litellm-rust ./litellm-rust
RUN --mount=type=cache,target=/root/.cache/uv \
mkdir -p litellm/rust_bridge /wheels && \
touch litellm/__init__.py litellm/rust_bridge/__init__.py && \
uvx --python python3.13 --from maturin==1.15.0 --with puccinialin==0.1.14 \
python -c "import maturin; maturin.build_wheel('/wheels')"
# ---------- Builder ----------
FROM $LITELLM_BUILD_IMAGE AS builder
@ -54,7 +81,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
COPY . .
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-default-groups --no-editable \
uv sync --frozen --no-install-project --no-default-groups --no-editable \
--extra proxy \
--extra proxy-runtime \
--group admin-mcp \
@ -63,6 +90,9 @@ RUN --mount=type=cache,target=/root/.cache/uv \
--extra saml \
--python python3.13
RUN --mount=type=bind,from=rust-native,source=/wheels,target=/wheels \
uv pip install --python /app/.venv/bin/python --no-deps /wheels/litellm-*.whl
RUN cp "$(python -c 'import sysconfig; print(sysconfig.get_paths()["purelib"])')"/litellm/rust_bridge/_native*.so litellm/rust_bridge/
RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \

View file

@ -32,6 +32,7 @@ BACKEND_PATH_PREFIXES: tuple[str, ...] = (
"/token",
"/onboarding/",
"/audit",
"/telemetry/",
"/oauth/",
"/invitation/",
"/jwt/",
@ -164,6 +165,7 @@ BACKEND_EXACT_PATHS: frozenset[str] = frozenset(
BACKEND_MOUNT_PATHS: frozenset[str] = frozenset(
{
"/admin",
"/metrics",
"/swagger", # API documentation static assets belong to the backend
"/mcp", # lazily-mounted MCP sub-app serves on the backend component
}

View file

@ -1,11 +1,11 @@
"""Guard the cost map on pull requests.
Every pull request whose diff against its merge base touches one of the three cost map files gets the file
checks: the files parse, the backup copy matches the root file, and the JSON schema is in sync and validates the
map. A pull request that leaves all three untouched skips them, since merging it keeps the base branch's copies
and its head tree only carries whatever state the branch was cut from. Pull requests from the cost map sync bot
(branches named litellm_cost_map_sync_*) always get the file checks and additionally may only touch those three
files and may only add or update models.
Every pull request whose diff against its merge base touches one of the two cost map files gets the file
checks: the files parse and the backup copy matches the root file. A pull request that leaves both untouched
skips them, since merging it keeps the base branch's copies and its head tree only carries whatever state the
branch was cut from. Pull requests from the cost map sync bot (branches named litellm_cost_map_sync_*) always
get the file checks and additionally may only touch those two files or the legacy schema
path and may only add or update models.
"""
from __future__ import annotations
@ -19,13 +19,12 @@ from dataclasses import dataclass
from types import MappingProxyType
from typing import Final
from generate_model_prices_schema import SPECIAL_ROOT_KEYS, build_schema, render, validation_errors
COST_MAP_PATH: Final = "model_prices_and_context_window.json"
BACKUP_PATH: Final = "litellm/model_prices_and_context_window_backup.json"
SCHEMA_PATH: Final = "model_prices_and_context_window.schema.json"
GUARDED_PATHS: Final = (COST_MAP_PATH, BACKUP_PATH, SCHEMA_PATH)
LEGACY_SCHEMA_PATH: Final = "model_prices_and_context_window.schema.json"
GUARDED_PATHS: Final = (COST_MAP_PATH, BACKUP_PATH)
BOT_BRANCH_PREFIX: Final = "litellm_cost_map_sync_"
SPECIAL_ROOT_KEYS: Final = frozenset({"sample_spec", "fallback_generalizations"})
EVALUATION_OUTPUT_PRICE_SOURCES: Final[Mapping[str, str]] = MappingProxyType({})
CostMap = dict[str, object]
@ -35,7 +34,6 @@ CostMap = dict[str, object]
class Snapshot:
cost_map: str
backup: str
schema: str
def _parse_object(text: str, path: str) -> CostMap | str:
@ -46,17 +44,10 @@ def _parse_object(text: str, path: str) -> CostMap | str:
return parsed if isinstance(parsed, dict) else f"{path} must be a JSON object at the root"
def _rendered_schema(cost_map: CostMap) -> str:
try:
return render(build_schema(cost_map))
except SystemExit as error:
return str(error)
def _evaluation_output_price_failure(
key: str, entry: object, evaluation_output_price_sources: Mapping[str, str]
) -> str | None:
if not isinstance(entry, dict) or entry.get("mode") != "evaluation":
if not isinstance(entry, dict) or entry.get("mode") not in ("evaluation", "decisions"):
return None
output_cost: Final = entry.get("output_cost_per_token")
if (
@ -67,7 +58,7 @@ def _evaluation_output_price_failure(
):
return None
return (
f"{key}: mode evaluation rows bill input only; output_cost_per_token must be 0 unless the vendor "
f"{key}: mode evaluation and decisions rows bill input only; output_cost_per_token must be 0 unless the vendor "
"prices output tokens for this model (add the source to EVALUATION_OUTPUT_PRICE_SOURCES)"
)
@ -78,29 +69,13 @@ def _file_failures(
*,
evaluation_output_price_sources: Mapping[str, str] = EVALUATION_OUTPUT_PRICE_SOURCES,
) -> tuple[str, ...]:
schema_text: Final = _rendered_schema(head_map)
if not schema_text.startswith("{"):
return (schema_text,)
backup_failure: Final = (
()
if head.backup == head.cost_map
else (f"{BACKUP_PATH} differs from {COST_MAP_PATH}; copy the root file over it",)
)
schema_failure: Final = (
()
if head.schema == schema_text
else (
f"{SCHEMA_PATH} is out of sync with {COST_MAP_PATH}; "
"run `python ci_cd/generate_model_prices_schema.py` and commit the result",
)
)
return (
*backup_failure,
*schema_failure,
*(
f"{COST_MAP_PATH} does not validate against its schema: {error}"
for error in validation_errors(head_map, json.loads(schema_text))[:20]
),
*(
failure
for key, entry in head_map.items()
@ -135,7 +110,7 @@ def _bot_failures(base: Snapshot, head_map: CostMap, changed_files: Sequence[str
*(
f"bot PRs may only change the cost map files, not {path}"
for path in changed_files
if path not in GUARDED_PATHS
if path not in GUARDED_PATHS and path != LEGACY_SCHEMA_PATH
),
*(f"bot PRs may not remove models: {key}" for key in base_map if key not in head_map),
*(f"bot PRs may not remove fields: {ref}" for ref in removed_fields),

View file

@ -1,409 +0,0 @@
from __future__ import annotations
import json
import sys
from pathlib import Path
from typing import Final, Optional
import jsonschema
REPO_ROOT = Path(__file__).parent.parent
PRICES_PATH = REPO_ROOT / "model_prices_and_context_window.json"
SCHEMA_PATH = REPO_ROOT / "model_prices_and_context_window.schema.json"
SPECIAL_ROOT_KEYS = frozenset({"sample_spec", "fallback_generalizations"})
JsonSchema = dict
NONNEG_NUMBER: JsonSchema = {"type": "number", "minimum": 0}
NONNEG_INTEGER: JsonSchema = {"type": "integer", "minimum": 0}
BOOLEAN: JsonSchema = {"type": "boolean"}
STRING: JsonSchema = {"type": "string"}
TIME_WINDOW: Final[JsonSchema] = {"type": "string", "pattern": r"^([01]\d|2[0-3]):[0-5]\d-([01]\d|2[0-3]):[0-5]\d$"}
WEEKDAY_PATTERN: Final = (
r"(?i)^(mon|monday|tue|tues|tuesday|wed|wednesday|thu|thur|thurs|thursday|fri|friday|sat|saturday|sun|sunday)$"
)
EXTRA_BOOLEAN_KEYS = frozenset(
{
"gemini_native_audio",
"gemini_audio_only_live",
"uses_embed_content",
"use_openai_responses_path",
"bedrock_converse_supports_strict_tools",
"thinking_always_on",
}
)
HOURS_UTC: Final[JsonSchema] = {
"description": 'UTC "HH:MM-HH:MM" window, or a list of them; a window may wrap past midnight.',
"oneOf": [TIME_WINDOW, {"type": "array", "items": TIME_WINDOW, "minItems": 1}],
}
OFF_PEAK_WINDOW: Final[JsonSchema] = {
"type": "object",
"properties": {
"hours_utc": HOURS_UTC,
"weekdays": {
"type": "array",
"description": "ISO-8601 weekday numbers (1 = Monday .. 7 = Sunday) or English day names the window applies on.",
"items": {
"oneOf": [
{"type": "integer", "minimum": 1, "maximum": 7},
{"type": "string", "pattern": WEEKDAY_PATTERN},
]
},
"minItems": 1,
},
},
"required": ["hours_utc"],
"additionalProperties": False,
}
OBJECT_KEYS: dict[str, JsonSchema] = {
"off_peak_pricing": {
"type": "object",
"description": "Rates that replace the same-named base fields while the request falls inside the stated UTC windows.",
"properties": {
"hours_utc": HOURS_UTC,
"windows": {"type": "array", "items": OFF_PEAK_WINDOW, "minItems": 1},
"weekday_timezone": {
"type": "string",
"description": "IANA zone the weekdays of each window are read on; defaults to UTC.",
},
"input_cost_per_token": NONNEG_NUMBER,
"output_cost_per_token": NONNEG_NUMBER,
"output_cost_per_reasoning_token": NONNEG_NUMBER,
"cache_read_input_token_cost": NONNEG_NUMBER,
"cache_creation_input_token_cost": NONNEG_NUMBER,
},
"anyOf": [{"required": ["hours_utc"]}, {"required": ["windows"]}],
"additionalProperties": False,
},
"search_context_cost_per_query": {
"type": "object",
"description": "USD cost per web search query, keyed by search context size.",
"properties": {
"search_context_size_low": NONNEG_NUMBER,
"search_context_size_medium": NONNEG_NUMBER,
"search_context_size_high": NONNEG_NUMBER,
},
"additionalProperties": False,
},
"guardrail_cost_per_unit": {
"type": "object",
"description": "USD cost per billable guardrail unit, keyed by the provider's usage counter name (e.g. Bedrock's contentPolicyUnits).",
"additionalProperties": NONNEG_NUMBER,
},
"metadata": {
"type": "object",
"description": "Free-form notes about the entry (e.g. pricing derivation).",
},
"provider_specific_entry": {
"type": "object",
"description": "Provider-internal routing hints (e.g. bedrock_invocation_schema).",
},
}
ARRAY_KEYS: dict[str, JsonSchema] = {
"supported_audio_formats": {
"type": "array",
"description": "Audio container formats the model can return.",
"items": {"type": "string", "enum": ["mp3", "wav"]},
},
"supported_endpoints": {
"type": "array",
"description": "OpenAI-style API routes this model can be called through, e.g. /v1/chat/completions.",
"items": STRING,
},
"supported_modalities": {
"type": "array",
"description": "Input modalities the model accepts.",
"items": {"type": "string", "enum": ["text", "image", "audio", "video"]},
},
"supported_output_modalities": {
"type": "array",
"description": "Output modalities the model can produce.",
"items": {"type": "string", "enum": ["text", "image", "audio", "video", "code"]},
},
"reasoning_effort_levels": {
"type": "array",
"description": "Exact reasoning_effort levels this deployment accepts; wins over supports_* flags.",
"items": {"type": "string", "enum": ["none", "minimal", "low", "medium", "high", "xhigh", "max"]},
},
"supported_regions": {
"type": "array",
"description": "Cloud regions the model is available in ('global' or region ids).",
"items": STRING,
},
"tiered_pricing": {
"type": "array",
"description": "Context-length or result-count tiered rates; each tier's costs apply within its range.",
"items": {
"type": "object",
"properties": {
"range": {
"type": "array",
"description": "[min, max] prompt-token span this tier applies to.",
"items": NONNEG_NUMBER,
"minItems": 2,
"maxItems": 2,
},
"max_results_range": {
"type": "array",
"description": "[min, max] result-count span this tier applies to (search models).",
"items": NONNEG_NUMBER,
"minItems": 2,
"maxItems": 2,
},
"input_cost_per_token": NONNEG_NUMBER,
"output_cost_per_token": NONNEG_NUMBER,
"output_cost_per_reasoning_token": NONNEG_NUMBER,
"cache_read_input_token_cost": NONNEG_NUMBER,
"cache_creation_input_token_cost": NONNEG_NUMBER,
"input_cost_per_query": NONNEG_NUMBER,
},
"additionalProperties": False,
},
},
}
INTEGER_KEYS: dict[str, JsonSchema] = {
"max_tokens": {
**NONNEG_INTEGER,
"description": "Legacy field: max output tokens if the provider specifies it, else max input tokens.",
},
"max_input_tokens": {
**NONNEG_INTEGER,
"description": "Maximum prompt/context tokens the model accepts.",
},
"max_output_tokens": {
**NONNEG_INTEGER,
"description": "Maximum tokens the model can generate in one response.",
},
"output_vector_size": {
**NONNEG_INTEGER,
"description": "Embedding dimension for embedding models.",
},
"prompt_cache_min_tokens": {
**NONNEG_INTEGER,
"description": "Smallest prefix the provider will actually cache; absent means the provider default applies.",
},
"tpm": {**NONNEG_INTEGER, "description": "Provider default tokens-per-minute limit."},
"rpm": {**NONNEG_INTEGER, "description": "Provider default requests-per-minute limit."},
}
NUMBER_KEYS: dict[str, JsonSchema] = {
"regional_processing_uplift_multiplier_eu": {
"type": "number",
"minimum": 1,
"description": "Multiplier applied to all token costs for EU data residency (e.g. 1.10 = +10%).",
},
"regional_processing_uplift_multiplier_us": {
"type": "number",
"minimum": 1,
"description": "Multiplier applied to all token costs for US data residency (e.g. 1.10 = +10%).",
},
"regional_endpoint_uplift_multiplier": {
"type": "number",
"minimum": 1,
"description": "Multiplier applied to all token costs when served from a non-global Vertex AI endpoint (e.g. 1.10 = +10%).",
},
}
COST_DESCRIPTIONS: dict[str, str] = {
"input_cost_per_token": "USD per prompt token.",
"output_cost_per_token": "USD per generated token.",
"output_cost_per_reasoning_token": "USD per reasoning/thinking token, when billed separately.",
"google_maps_grounding_cost_per_query": (
"USD per Grounding with Google Maps request; billed per query or per prompt per web_search_billing_unit."
),
"cache_creation_input_token_cost": "USD per token written to the provider's prompt cache.",
"cache_read_input_token_cost": "USD per prompt token served from the provider's prompt cache.",
"input_cost_per_token_batches": "USD per prompt token via the provider's batch API.",
"output_cost_per_token_batches": "USD per generated token via the provider's batch API.",
}
def cost_description(key: str) -> Optional[str]:
if key in COST_DESCRIPTIONS:
return COST_DESCRIPTIONS[key]
if key.endswith("_flex"):
return "Flex service-tier rate for the same-named base field."
if key.endswith("_priority"):
return "Priority service-tier rate for the same-named base field."
if "_above_" in key:
return "Rate applied once the prompt exceeds the token threshold in the field name."
return None
def cost_schema(key: str) -> JsonSchema:
description = cost_description(key)
return {**NONNEG_NUMBER, "description": description} if description else dict(NONNEG_NUMBER)
def string_key_schemas(modes: tuple) -> dict[str, JsonSchema]:
return {
"litellm_provider": {
"type": "string",
"description": "LiteLLM provider slug; one of https://docs.litellm.ai/docs/providers.",
},
"mode": {
"type": "string",
"description": "Primary API surface / task type of the model.",
"enum": list(modes),
},
"source": {
"type": "string",
"description": "URL of the provider pricing/model page this entry was taken from.",
},
"deprecation_date": {
"type": "string",
"description": "Date the provider deprecates the model, YYYY-MM-DD.",
"format": "date",
"pattern": "^\\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
},
"web_search_billing_unit": {
"type": "string",
"description": "Whether web search is billed per query or per prompt.",
"enum": ["per_query", "per_prompt"],
},
"bedrock_output_config_effort_ceiling": {
"type": "string",
"description": "Highest reasoning effort the Bedrock output_config accepts for this model.",
"enum": ["low", "medium", "high", "max", "xhigh"],
},
"default_reasoning_effort": {
"type": "string",
"description": (
"Reasoning effort the provider applies when the request omits reasoning_effort. "
"Gates whether a non-default temperature or the top_p/logprobs sampling params are "
"accepted, which hold only when the effort resolves to 'none'."
),
"enum": ["none", "minimal", "low", "medium", "high", "xhigh"],
},
"comment": STRING,
"audio_transcription_config": STRING,
"vertex_ai_audio_api": {
"type": "string",
"enum": ["lyria_predict", "lyria_interactions"],
},
}
def classify(key: str, modes: tuple) -> Optional[JsonSchema]:
curated = {**OBJECT_KEYS, **ARRAY_KEYS, **string_key_schemas(modes), **INTEGER_KEYS, **NUMBER_KEYS}
if key in curated:
return curated[key]
if key.startswith("supports_") or key in EXTRA_BOOLEAN_KEYS:
return BOOLEAN
if "cost" in key:
return cost_schema(key)
return None
def build_schema(prices: dict) -> JsonSchema:
entries = {name: entry for name, entry in prices.items() if name not in SPECIAL_ROOT_KEYS}
all_keys = tuple(sorted({key for entry in entries.values() for key in entry}))
modes = tuple(sorted({entry["mode"] for entry in entries.values() if "mode" in entry}))
unclassified = tuple(key for key in all_keys if classify(key, modes) is None)
if unclassified:
raise SystemExit(
f"Unclassified keys in {PRICES_PATH.name}: {', '.join(unclassified)}. "
f"Add them to the key tables in {Path(__file__).name} and rerun it."
)
entry_properties = {key: classify(key, modes) for key in all_keys}
return {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "LiteLLM model_prices_and_context_window.json",
"description": (
"Schema for LiteLLM's model price and context window registry "
"(https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). "
"Every top-level key except 'sample_spec' and 'fallback_generalizations' is a model id, "
"optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. "
"All costs are USD per unit. New optional fields are added regularly, so consumers should "
"ignore unknown fields rather than reject them."
),
"type": "object",
"properties": {
"sample_spec": {
"type": "object",
"description": (
"Documentation placeholder illustrating the entry shape; not a real model and not "
"schema-conformant (several values are prose)."
),
},
"fallback_generalizations": {
"type": "object",
"description": "Regex rules that generalize unknown model ids to known families; not a model entry.",
"properties": {
"rules": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": STRING,
"pattern": STRING,
"description": STRING,
},
"required": ["name", "pattern"],
"additionalProperties": True,
},
}
},
"additionalProperties": False,
},
},
"additionalProperties": {"$ref": "#/$defs/modelEntry"},
"$defs": {
"modelEntry": {
"type": "object",
"description": (
"Pricing, limits, and capability flags for one model. Fields other than litellm_provider "
"are optional; boolean capability flags are simply omitted when unknown or false."
),
"required": ["litellm_provider"],
"properties": entry_properties,
"additionalProperties": True,
}
},
}
def render(schema: JsonSchema) -> str:
return json.dumps(schema, indent=2) + "\n"
def validation_errors(prices: dict, schema: JsonSchema) -> tuple:
validator = jsonschema.Draft202012Validator(schema, format_checker=jsonschema.Draft202012Validator.FORMAT_CHECKER)
return tuple(
f"{'.'.join(str(part) for part in error.absolute_path)}: {error.message}"
for error in validator.iter_errors(prices)
)
def main() -> int:
check = "--check" in sys.argv[1:]
prices = json.loads(PRICES_PATH.read_text())
rendered = render(build_schema(prices))
errors = validation_errors(prices, json.loads(rendered))
if errors:
print(f"{PRICES_PATH.name} does not validate against the generated schema:")
print("\n".join(errors[:20]))
return 1
if not check:
SCHEMA_PATH.write_text(rendered)
print(f"wrote {SCHEMA_PATH}")
return 0
if not SCHEMA_PATH.exists() or SCHEMA_PATH.read_text() != rendered:
print(
f"{SCHEMA_PATH.name} is out of sync with {PRICES_PATH.name}. "
f"Run `python {Path(__file__).relative_to(REPO_ROOT)}` and commit the result."
)
return 1
print(f"{SCHEMA_PATH.name} is in sync and {PRICES_PATH.name} validates against it")
return 0
if __name__ == "__main__":
sys.exit(main())

View file

@ -322,7 +322,12 @@ def create_migration(
# Write the SQL to migration.sql
migration_file = migration_dir / "migration.sql"
migration_file.write_text(diff_sql)
migration_sql: Final = (
diff_sql
if "CONCURRENTLY" in diff_sql.upper()
else "SET LOCAL lock_timeout = '10s';\n\n" + diff_sql
)
migration_file.write_text(migration_sql)
print(f"Created migration in {migration_dir}")
return True

View file

@ -71,6 +71,8 @@ flag_management:
carryforward: false
- name: lens-python-310
carryforward: false
- name: lens-postgres
carryforward: false
- name: proxy-db-key-generation
carryforward: false
- name: proxy-db-auth-checks

View file

@ -6563,6 +6563,87 @@
],
"title": "litellm_project_model_rate_limit_used_metric",
"type": "timeseries"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 447
},
"id": 115,
"panels": [],
"title": "Agent tracing export (needs LITELLM_LENS_URL)",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "Request records the Lens exporter delivered to the Lens service against the records it dropped before the service accepted them",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"drawStyle": "line",
"fillOpacity": 10,
"lineWidth": 1,
"showPoints": "never",
"spanNulls": false
},
"unit": "short"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 24,
"x": 0,
"y": 448
},
"id": 116,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(rate(litellm_lens_export_rows_written_total[$__rate_interval]))",
"legendFormat": "written",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(rate(litellm_lens_export_rows_dropped_total[$__rate_interval]))",
"legendFormat": "dropped",
"range": true,
"refId": "B"
}
],
"title": "litellm_lens_export_rows_written and litellm_lens_export_rows_dropped rate",
"type": "timeseries"
}
],
"preload": false,

View file

@ -1,10 +1,10 @@
# LiteLLM All Prometheus Metrics dashboard
Every `litellm_*` metric family the proxy can expose on `/metrics` (141 families across 97 panels), grouped into rows: proxy traffic, latency, spend and tokens, cache, LLM API deployments, key and team rate limits, budgets, guardrails, MCP, managed files and batches, users and teams, the Redis circuit breaker, the spend log cleanup job, and the `prometheus_system` service callback metrics (per-service latency, request and failure rates, spend update queue sizes). Panel titles are the metric names so you can grep the JSON for the metric you care about
Every `litellm_*` metric family the proxy can expose on `/metrics` (143 families across 98 panels), grouped into rows: proxy traffic, latency, spend and tokens, cache, LLM API deployments, key and team rate limits, budgets, guardrails, MCP, managed files and batches, users and teams, the Redis circuit breaker, the spend log cleanup job, the `prometheus_system` service callback metrics (per-service latency, request and failure rates, spend update queue sizes), project model rate limits, and the agent tracing export to Lens. Panel titles are the metric names so you can grep the JSON for the metric you care about
Import `grafana_dashboard.json` from **Dashboards > New > Import** and pick your Prometheus data source when prompted (the `DS_PROMETHEUS` variable). Counters are plotted as `rate()` over `$__rate_interval`, histograms as p50 / p95 / p99, gauges as the raw value grouped by the most useful label. Every query names the metric exactly as the proxy emits it (counters carry the `_total` suffix the Prometheus client adds), and `tests/unit/integrations/test_prometheus_metric_name_consistency.py` fails if a metric is renamed without updating this dashboard
The first eleven rows need only `callbacks: ["prometheus"]`. The last three rows and the `litellm_admission_*` panels are emitted by other subsystems and stay empty until those are on: the service callback row needs `service_callback: ["prometheus_system"]` in `litellm_settings`, the circuit breaker row needs a Redis cache, the cleanup row needs spend log retention, and admission control needs its middleware enabled. Within the base rows, many panels only fill in once the matching feature is in use: budgets need keys, teams, users or orgs with `max_budget` set, cache panels need caching on, guardrail and MCP panels need those features configured, deployment health needs the router with more than one deployment or a failure to record, and `litellm_in_flight_requests` needs traffic at scrape time. An empty panel for a feature you do not use is expected
The first eleven rows and the project model rate limits row need only `callbacks: ["prometheus"]`. The other rows and the `litellm_admission_*` panels are emitted by other subsystems and stay empty until those are on: the service callback row needs `service_callback: ["prometheus_system"]` in `litellm_settings`, the circuit breaker row needs a Redis cache, the cleanup row needs spend log retention, the agent tracing export row needs `LITELLM_LENS_URL`, and admission control needs its middleware enabled. Within the base rows, many panels only fill in once the matching feature is in use: budgets need keys, teams, users or orgs with `max_budget` set, cache panels need caching on, guardrail and MCP panels need those features configured, deployment health needs the router with more than one deployment or a failure to record, and `litellm_in_flight_requests` needs traffic at scrape time. An empty panel for a feature you do not use is expected
## Pre-requisites

View file

@ -55,6 +55,8 @@ ALTER INDEX IF EXISTS "LiteLLM_SpendLogs_session_id_idx"
RENAME TO "LiteLLM_SpendLogs_legacy_session_id_idx";
ALTER INDEX IF EXISTS "LiteLLM_SpendLogs_api_key_startTime_idx"
RENAME TO "LiteLLM_SpendLogs_legacy_api_key_startTime_idx";
ALTER INDEX IF EXISTS "LiteLLM_SpendLogs_litellm_call_id_idx"
RENAME TO "LiteLLM_SpendLogs_legacy_litellm_call_id_idx";
CREATE TABLE "LiteLLM_SpendLogs" (
LIKE "LiteLLM_SpendLogs_legacy" INCLUDING DEFAULTS INCLUDING GENERATED

View file

@ -0,0 +1,201 @@
import argparse
import os
import sys
from collections.abc import Iterator, Sequence
from dataclasses import dataclass
from itertools import accumulate, repeat, takewhile
from typing import Final, Literal, TextIO
import httpx
from pydantic import BaseModel, ConfigDict, JsonValue, ValidationError
from litellm.vector_stores.utils import is_litellm_written_metadata_key
DEFAULT_API_BASE: Final = "https://api.openai.com/v1"
LIST_PAGE_SIZE: Final = "100"
class VectorStore(BaseModel):
model_config = ConfigDict(frozen=True, extra="ignore")
id: str
metadata: dict[str, JsonValue] | None = None
class VectorStorePage(BaseModel):
model_config = ConfigDict(frozen=True, extra="ignore")
data: tuple[VectorStore, ...]
has_more: bool = False
class OpenAIErrorBody(BaseModel):
model_config = ConfigDict(frozen=True, extra="ignore")
message: str = ""
class OpenAIErrorResponse(BaseModel):
model_config = ConfigDict(frozen=True, extra="ignore")
error: OpenAIErrorBody
@dataclass(frozen=True, slots=True)
class Options:
api_key: str
api_base: str
vector_store_ids: tuple[str, ...]
extra_keys: frozenset[str]
apply: bool
@dataclass(frozen=True, slots=True)
class StoreResult:
store_id: str
matched_keys: tuple[str, ...]
status: Literal["dry_run", "updated", "failed"]
error: str = ""
def is_proxy_written_key(key: str, extra_keys: frozenset[str]) -> bool:
return is_litellm_written_metadata_key(key) or key in extra_keys
def matching_keys(store: VectorStore, extra_keys: frozenset[str]) -> tuple[str, ...]:
return tuple(sorted(key for key in (store.metadata or {}) if is_proxy_written_key(key, extra_keys)))
def fetch_page(client: httpx.Client, after: str | None) -> VectorStorePage:
params: Final = {"limit": LIST_PAGE_SIZE} if after is None else {"limit": LIST_PAGE_SIZE, "after": after}
return VectorStorePage.model_validate_json(client.get("/vector_stores", params=params).raise_for_status().content)
def fetch_next_page(client: httpx.Client, page: VectorStorePage | None) -> VectorStorePage | None:
if page is None or not page.has_more or not page.data:
return None
return fetch_page(client, after=page.data[-1].id)
def list_all_stores(client: httpx.Client) -> Iterator[VectorStore]:
pages: Final = accumulate(
repeat(None), lambda page, _: fetch_next_page(client, page), initial=fetch_page(client, after=None)
)
for page in takewhile(lambda page: page is not None, pages):
yield from page.data
def retrieve_stores(client: httpx.Client, store_ids: tuple[str, ...]) -> Iterator[VectorStore]:
for store_id in store_ids:
yield VectorStore.model_validate_json(client.get(f"/vector_stores/{store_id}").raise_for_status().content)
def describe_http_error(response: httpx.Response) -> str:
try:
message: Final = OpenAIErrorResponse.model_validate_json(response.content).error.message
except ValidationError:
return f"HTTP {response.status_code}"
return f"HTTP {response.status_code}: {message}"
def delete_keys(client: httpx.Client, store_id: str, keys: tuple[str, ...]) -> StoreResult:
try:
response: Final = client.post(f"/vector_stores/{store_id}", json={"metadata": dict.fromkeys(keys)})
except httpx.TransportError as error:
return StoreResult(store_id=store_id, matched_keys=keys, status="failed", error=type(error).__name__)
if response.is_success:
return StoreResult(store_id=store_id, matched_keys=keys, status="updated")
return StoreResult(store_id=store_id, matched_keys=keys, status="failed", error=describe_http_error(response))
def clean_store(client: httpx.Client, store: VectorStore, options: Options) -> StoreResult | None:
keys: Final = matching_keys(store, options.extra_keys)
if not keys:
return None
if not options.apply:
return StoreResult(store_id=store.id, matched_keys=keys, status="dry_run")
return delete_keys(client, store.id, keys)
def format_result(result: StoreResult) -> str:
key_list: Final = ", ".join(result.matched_keys)
count: Final = len(result.matched_keys)
match result.status:
case "dry_run":
return f"{result.store_id}: would delete {count} keys: {key_list}"
case "updated":
return f"{result.store_id}: deleted {count} keys: {key_list}"
case "failed":
return f"{result.store_id}: failed to delete {count} keys ({result.error}): {key_list}"
def clean_and_report(
client: httpx.Client, stores: Iterator[VectorStore], options: Options, out: TextIO
) -> Iterator[StoreResult | None]:
for store in stores:
result: Final = clean_store(client, store, options)
if result is not None:
print(format_result(result), file=out)
yield result
def run(options: Options, client: httpx.Client, out: TextIO) -> int:
stores: Final = (
retrieve_stores(client, options.vector_store_ids) if options.vector_store_ids else list_all_stores(client)
)
scanned: Final = tuple(clean_and_report(client, stores, options, out))
results: Final = tuple(result for result in scanned if result is not None)
updated: Final = sum(1 for result in results if result.status == "updated")
failed: Final = sum(1 for result in results if result.status == "failed")
mode: Final = "applied" if options.apply else "dry run, pass --apply to delete"
print(
f"scanned={len(scanned)} matched={len(results)} updated={updated} failed={failed} ({mode})",
file=out,
)
return 1 if failed else 0
def parse_options(argv: Sequence[str] | None) -> Options:
parser: Final = argparse.ArgumentParser(
description="Remove LiteLLM proxy-written keys from OpenAI vector store metadata. Dry run by default."
)
parser.add_argument("--api-key", default=os.environ.get("OPENAI_API_KEY"), help="defaults to $OPENAI_API_KEY")
parser.add_argument("--api-base", default=DEFAULT_API_BASE)
parser.add_argument("--vector-store-id", action="append", default=[], help="repeatable, defaults to every store")
parser.add_argument("--extra-key", action="append", default=[], help="repeatable, another key name to delete")
parser.add_argument("--apply", action="store_true", help="delete the matching keys instead of listing them")
args: Final = parser.parse_args(argv)
if not args.api_key:
parser.error("--api-key or OPENAI_API_KEY is required")
return Options(
api_key=args.api_key,
api_base=args.api_base.rstrip("/"),
vector_store_ids=tuple(args.vector_store_id),
extra_keys=frozenset(args.extra_key),
apply=args.apply,
)
def main(argv: Sequence[str] | None = None, transport: httpx.BaseTransport | None = None) -> int:
options: Final = parse_options(argv)
with httpx.Client(
base_url=options.api_base,
headers={"Authorization": f"Bearer {options.api_key}"},
timeout=60.0,
transport=transport,
) as client:
try:
return run(options, client, sys.stdout)
except httpx.HTTPStatusError as error:
sys.stderr.write(f"could not read vector stores: {describe_http_error(error.response)}\n")
return 2
except httpx.TransportError as error:
sys.stderr.write(f"could not reach {options.api_base}: {type(error).__name__}\n")
return 2
except ValidationError:
sys.stderr.write(f"unexpected vector store response shape from {options.api_base}\n")
return 2
if __name__ == "__main__":
sys.exit(main())

View file

@ -11,7 +11,7 @@
# beyond local evaluation, pin the image to a specific release tag.
services:
litellm:
image: docker.litellm.ai/berriai/litellm:main-stable
image: docker.litellm.ai/berriai/litellm:latest
ports:
# LITELLM_BIND is empty by default, so this stays "4000:4000". The quickstart
# script sets it to "127.0.0.1:" so new installs listen on this machine only.

View file

@ -20,9 +20,15 @@ class EnterpriseCustomGuardrailHelper:
the tag's value (the mode for that tag).
- If no request tag matches, fall back to default mode(s).
"""
from litellm.litellm_core_utils.core_helpers import (
get_metadata_variable_name_from_kwargs,
)
from litellm.litellm_core_utils.litellm_logging import (
StandardLoggingPayloadSetup,
)
from litellm.router_strategy.tag_based_routing import (
without_baggage_mapped_tags,
)
from litellm.proxy._types import CommonProxyErrors
from litellm.proxy.proxy_server import premium_user
@ -36,9 +42,13 @@ class EnterpriseCustomGuardrailHelper:
proxy_server_request = data.get("proxy_server_request", {})
request_tags = StandardLoggingPayloadSetup.get_request_tags(
litellm_params=data,
proxy_server_request=proxy_server_request,
request_tags = without_baggage_mapped_tags(
StandardLoggingPayloadSetup.get_request_tags(
litellm_params=data,
proxy_server_request=proxy_server_request,
),
data.get(get_metadata_variable_name_from_kwargs(data)),
keep_serving_deployment_tags=True,
)
# Check if any request tag matches a Mode tag key

View file

@ -1,14 +1,16 @@
from typing import Any, Optional
from collections.abc import Awaitable, Callable
from fastapi import Request
from litellm._logging import verbose_proxy_logger
from litellm.proxy._types import ProxyException, UserAPIKeyAuth
from litellm.proxy._types import ProxyException
async def enterprise_custom_auth(
request: Request, api_key: str, user_custom_auth: Optional[Any]
) -> Optional[UserAPIKeyAuth]:
request: Request,
api_key: str,
user_custom_auth: Callable[[Request, str], Awaitable[object]] | None,
) -> object:
from litellm_enterprise.proxy.proxy_server import custom_auth_settings
if user_custom_auth is None:

View file

@ -2,27 +2,35 @@
Polls LiteLLM_ManagedObjectTable to check if the batch job is complete, and if the cost has been tracked.
"""
from collections.abc import Sequence
import asyncio
import json
from collections.abc import Mapping, Sequence
from dataclasses import replace as dataclasses_replace
from datetime import datetime, timedelta, timezone
from types import MappingProxyType
from typing import TYPE_CHECKING, Final, List, Literal, Optional, Protocol, Tuple, cast
from litellm_enterprise.proxy.common_utils.managed_object_attribution import (
ManagedObjectCreatorAttribution,
ManagedObjectRow,
)
import litellm
from litellm._logging import verbose_proxy_logger
from litellm._uuid import uuid
from litellm.constants import (
CLI_SESSION_KEY_PREFIX,
BATCH_LINE_ITEMS_MAX_PART_BYTES,
MANAGED_OBJECT_STALENESS_CUTOFF_DAYS,
MAX_OBJECTS_PER_POLL_CYCLE,
)
from litellm.repositories.table_repositories import ManagedObjectRepository
from litellm.repositories.team_repository import TeamRepository
from litellm.repositories.user_repository import UserRepository
from litellm.repositories.verification_token_repository import VerificationTokenRepository
if TYPE_CHECKING:
from prisma import models as prisma_models
from litellm.batches.batch_line_items import BatchFileProvider
from litellm.integrations.prometheus import PrometheusLogger
from litellm.proxy.utils import PrismaClient, ProxyLogging
from litellm.repositories.prisma_protocols import TableActions
@ -47,29 +55,6 @@ TERMINAL_MANAGED_OBJECT_STATUSES: Final[Tuple[str, ...]] = (
)
class _ManagedObjectRow(Protocol):
@property
def id(self) -> str: ...
@property
def unified_object_id(self) -> str: ...
@property
def created_by(self) -> str | None: ...
@property
def file_object(self) -> object: ...
@property
def org_id(self) -> str | None: ...
@property
def api_key(self) -> str | None: ...
@property
def team_id(self) -> str | None: ...
class _ReadableFileContent(Protocol):
async def read(self) -> bytes: ...
@ -87,14 +72,10 @@ async def _file_content_bytes(file_content: object) -> bytes:
return cast(bytes, file_content)
def _managed_object_table(prisma_client: "PrismaClient") -> "TableActions[_ManagedObjectRow]":
def _managed_object_table(prisma_client: "PrismaClient") -> "TableActions[ManagedObjectRow]":
return ManagedObjectRepository(prisma_client).table
def _user_table(prisma_client: "PrismaClient") -> "TableActions[prisma_models.LiteLLM_UserTable]":
return UserRepository(prisma_client).table
def _token_table(prisma_client: "PrismaClient") -> "TableActions[prisma_models.LiteLLM_VerificationToken]":
return VerificationTokenRepository(prisma_client).table
@ -103,6 +84,11 @@ def _team_table(prisma_client: "PrismaClient") -> "TableActions[prisma_models.Li
return TeamRepository(prisma_client).table
def _row_metadata(row: object) -> dict[str, object]:
metadata: Final = getattr(row, "metadata", None)
return cast(dict[str, object], metadata) if isinstance(metadata, dict) else {} # cast-ok: prisma Json object column
class CheckBatchCost:
def __init__(
self,
@ -118,10 +104,15 @@ class CheckBatchCost:
self.prisma_client: PrismaClient = prisma_client
self.llm_router: Router = llm_router
self._track_unmanaged_batch_cost = track_unmanaged_batch_cost
self._creator_attribution: Final = ManagedObjectCreatorAttribution(prisma_client, "CheckBatchCost")
# Cached after the first poll cycle. Once we know the column is absent we skip
# the guaranteed-failing primary query on every subsequent cycle.
self._has_batch_processed_column: bool = True
self.batch_processed_support_confirmed: bool = False
self._line_item_stores: Final[set[asyncio.Task[None]]] = set()
self._line_item_store_turn: Final = asyncio.Lock()
self._poll_idle: Final = asyncio.Event()
self._poll_idle.set()
@staticmethod
def _is_missing_batch_processed_column_error(err: Exception) -> bool:
@ -149,133 +140,6 @@ class CheckBatchCost:
return
self.batch_processed_support_confirmed = True
async def _get_user_info(self, batch_id: str, user_id: Optional[str]) -> dict[str, str | None]:
"""
Look up user email and key alias by user_id for enriching the S3 callback metadata.
Returns a dict with user_api_key_user_email and user_api_key_alias (both may be None).
Returns an empty dict when user_id is None: batches created by a team or service
account key carry no user id, and find_unique(where={"user_id": None}) raises.
"""
if not user_id:
return {}
try:
user_row: prisma_models.LiteLLM_UserTable | None = await _user_table(self.prisma_client).find_unique(
where={"user_id": user_id}
)
if user_row is None:
return {}
return {
"user_api_key_user_email": getattr(user_row, "user_email", None),
"user_api_key_alias": getattr(user_row, "user_alias", None),
}
except Exception as e:
verbose_proxy_logger.error(f"CheckBatchCost: could not look up user {user_id} for batch {batch_id}: {e}")
return {}
async def _get_key_alias(self, batch_id: str, api_key: str | None, created_by: str | None) -> str | None:
"""Resolve the creating virtual key's alias from its hashed token."""
if not api_key:
return None
if created_by and api_key == f"{CLI_SESSION_KEY_PREFIX}-{created_by}":
return api_key
try:
key_row: prisma_models.LiteLLM_VerificationToken | None = await _token_table(
self.prisma_client
).find_unique(where={"token": api_key})
return getattr(key_row, "key_alias", None) if key_row is not None else None
except Exception as e:
verbose_proxy_logger.error(f"CheckBatchCost: could not look up key alias for batch {batch_id}: {e}")
return None
async def _get_team_alias(self, team_id: str | None) -> str | None:
"""Resolve a team's alias from its id."""
if not team_id:
return None
try:
team_row: prisma_models.LiteLLM_TeamTable | None = await _team_table(self.prisma_client).find_unique(
where={"team_id": team_id}
)
return getattr(team_row, "team_alias", None) if team_row is not None else None
except Exception as e:
verbose_proxy_logger.error(f"CheckBatchCost: could not look up team alias for team {team_id}: {e}")
return None
async def _get_org_id(self, job: "_ManagedObjectRow", batch_id: str) -> str | None:
org_id: Final = getattr(job, "org_id", None)
if org_id:
return org_id
api_key: Final = getattr(job, "api_key", None)
team_id: Final = getattr(job, "team_id", None)
if api_key:
try:
key_row: prisma_models.LiteLLM_VerificationToken | None = await _token_table(
self.prisma_client
).find_unique(where={"token": api_key})
key_org_id: Final = (
cast(str | None, getattr(key_row, "organization_id", None))
if key_row is not None
else None
)
if key_org_id:
return key_org_id
except Exception as e:
verbose_proxy_logger.error(
f"CheckBatchCost: could not resolve the key's org for batch {batch_id}, "
f"still trying the team's: {e}"
)
if not team_id:
return None
try:
team_row: prisma_models.LiteLLM_TeamTable | None = await _team_table(self.prisma_client).find_unique(
where={"team_id": team_id}
)
return cast(str | None, getattr(team_row, "organization_id", None)) if team_row is not None else None
except Exception as e:
verbose_proxy_logger.error(f"CheckBatchCost: could not resolve the team's org for batch {batch_id}: {e}")
return None
async def _build_creator_attribution_metadata(
self, job: "_ManagedObjectRow", batch_id: str
) -> dict[str, object]:
"""
Rebuild the spend-tracking metadata for the key, team, and tags that created the
batch so the batch-cost spend log is attributed the same way a non-batch request
is. Rows created before api_key and request_tags were persisted carry only
created_by and team_id, and fall back to those. A named creating key owns
user_api_key_alias; when it has no alias, or the key has since been rotated or
deleted, the field keeps the creating user's alias that _get_user_info filled in,
because a resolvable name is more useful on the spend row than a null.
user_api_key_org_id must be resolved here too: the spend update writer reads it
off this metadata to increment organization spend, so leaving it out silently
drops batch cost from org accounting for keys and teams that belong to one.
"""
api_key = getattr(job, "api_key", None)
team_id = getattr(job, "team_id", None)
request_tags = getattr(job, "request_tags", None)
metadata: dict[str, object] = {
"user_api_key_user_id": job.created_by,
"user_api_key": api_key,
"user_api_key_hash": api_key,
"user_api_key_team_id": team_id,
**(await self._get_user_info(batch_id, job.created_by)),
}
key_alias = await self._get_key_alias(batch_id, api_key, job.created_by)
if key_alias is not None:
metadata["user_api_key_alias"] = key_alias
team_alias = await self._get_team_alias(team_id)
if team_alias is not None:
metadata["user_api_key_team_alias"] = team_alias
org_id: Final = await self._get_org_id(job, batch_id)
if org_id is not None:
metadata["user_api_key_org_id"] = org_id
if isinstance(request_tags, list) and request_tags:
metadata["tags"] = [tag for tag in request_tags if isinstance(tag, str)]
return metadata
async def _cleanup_stale_managed_objects(self) -> None:
"""
Mark managed objects older than MANAGED_OBJECT_STALENESS_CUTOFF_DAYS days
@ -317,7 +181,7 @@ class CheckBatchCost:
f"{MANAGED_OBJECT_STALENESS_CUTOFF_DAYS} days that were never costed"
)
async def _fallback_find_jobs(self) -> "Sequence[_ManagedObjectRow]":
async def _fallback_find_jobs(self) -> "Sequence[ManagedObjectRow]":
"""Query batch jobs without the batch_processed filter (for older schemas)."""
return await _managed_object_table(self.prisma_client).find_many(
where={
@ -337,7 +201,7 @@ class CheckBatchCost:
order={"created_at": "asc"},
)
async def _retire_job(self, job: "_ManagedObjectRow", reason: str) -> None:
async def _retire_job(self, job: "ManagedObjectRow", reason: str) -> None:
"""
Take a row that can never be costed out of the poll page. Leaving it selectable
would burn one of the MAX_OBJECTS_PER_POLL_CYCLE slots on every future cycle, and
@ -364,7 +228,7 @@ class CheckBatchCost:
"so it will no longer be polled"
)
async def _claim_job_for_costing(self, job: "_ManagedObjectRow") -> bool:
async def _claim_job_for_costing(self, job: "ManagedObjectRow", response: "LiteLLMBatch") -> bool:
"""
Atomically flip batch_processed from false to true, returning whether this pod won
the row. Every pod and uvicorn worker schedules its own poller against the shared
@ -378,10 +242,16 @@ class CheckBatchCost:
"""
if not self._has_batch_processed_column:
return True
from litellm_enterprise.proxy.hooks.managed_files import postgres_storable_json
try:
claimed: Final = await _managed_object_table(self.prisma_client).update_many(
where={"id": job.id, "batch_processed": False},
data={"batch_processed": True},
data={
"batch_processed": True,
"status": response.status if response.status != "completed" else "complete",
"file_object": postgres_storable_json(response),
},
)
except Exception as db_err:
verbose_proxy_logger.error(
@ -390,7 +260,9 @@ class CheckBatchCost:
return False
return claimed > 0
async def _release_job_claim(self, job: "_ManagedObjectRow") -> None:
async def _release_job_claim(
self, job: "ManagedObjectRow", original_status: str | None, original_file_object: object
) -> None:
"""Give a claimed row back once billing it failed, so a later poll cycle retries it.
Safe to match on batch_processed=True: while this poller is active the retrieve
@ -402,7 +274,11 @@ class CheckBatchCost:
try:
await _managed_object_table(self.prisma_client).update_many(
where={"id": job.id, "batch_processed": True},
data={"batch_processed": False},
data={
"batch_processed": False,
"status": original_status,
"file_object": json.dumps(original_file_object),
},
)
except Exception as db_err:
verbose_proxy_logger.error(
@ -411,7 +287,7 @@ class CheckBatchCost:
)
@staticmethod
def _has_unified_id_without_model(job: "_ManagedObjectRow") -> bool:
def _has_unified_id_without_model(job: "ManagedObjectRow") -> bool:
"""A unified id that decodes but carries no model_id can never be routed."""
from litellm.proxy.openai_files_endpoints.common_utils import (
convert_b64_uid_to_unified_uid,
@ -460,10 +336,10 @@ class CheckBatchCost:
return isinstance(error, (NotFoundError, openai.NotFoundError)) and output_file_id in str(error)
async def _finalize_unbilled_terminal_job(
self, job: "_ManagedObjectRow", response: "LiteLLMBatch"
) -> None:
self, job: "ManagedObjectRow", response: "LiteLLMBatch"
) -> bool:
"""Persist a terminal batch that has nothing billable, converting any raw
provider file ids to managed ids, and take it out of the poll page."""
provider file ids to managed ids, and take it out of the poll page. Returns whether it was persisted."""
try:
from litellm.proxy.openai_files_endpoints.common_utils import (
_is_base64_encoded_unified_file_id,
@ -491,10 +367,12 @@ class CheckBatchCost:
verbose_proxy_logger.info(
f"CheckBatchCost: marked job {job.id} as {response.status} in DB"
)
return True
except Exception as db_err:
verbose_proxy_logger.error(
f"CheckBatchCost: failed to mark job {job.id} as {response.status} in DB: {db_err}"
)
return False
@staticmethod
def _record_error(
@ -505,7 +383,7 @@ class CheckBatchCost:
def _resolve_job_routing(
self,
job: "_ManagedObjectRow",
job: "ManagedObjectRow",
prom_logger: Optional["PrometheusLogger"],
) -> Optional[Tuple[str, str]]:
"""
@ -582,7 +460,7 @@ class CheckBatchCost:
def _resolve_unmanaged_provider_routing(
self,
job: "_ManagedObjectRow",
job: "ManagedObjectRow",
prom_logger: Optional["PrometheusLogger"],
llm_provider: str,
bare_model_name: str,
@ -678,7 +556,7 @@ class CheckBatchCost:
@classmethod
def _get_managed_file_model_name(
cls,
job: "_ManagedObjectRow",
job: "ManagedObjectRow",
deployment_info: "Deployment",
) -> Optional[str]:
"""
@ -698,9 +576,7 @@ class CheckBatchCost:
)
@staticmethod
def _get_input_file_id(job: "_ManagedObjectRow") -> Optional[str]:
import json
def _get_input_file_id(job: "ManagedObjectRow") -> Optional[str]:
from litellm.types.utils import LiteLLMBatch
file_object: Final = job.file_object
@ -719,7 +595,7 @@ class CheckBatchCost:
async def _track_completed_batch_cost(
self,
job: "_ManagedObjectRow",
job: "ManagedObjectRow",
response: "LiteLLMBatch",
model_id: str,
batch_id: str,
@ -735,15 +611,19 @@ class CheckBatchCost:
"""
from litellm.batches.batch_utils import (
calculate_batch_cost_and_usage,
count_error_file_failed_requests,
get_file_content_as_dictionary,
calculate_batch_cost_and_usage,
)
from litellm.files.main import afile_content
from litellm.files.types import FileContentCallOptions
from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
from litellm.litellm_core_utils.litellm_logging import deployment_pricing_model_info, mask_api_base_credentials
from litellm.litellm_core_utils.litellm_logging import (
deployment_pricing_model_info,
mask_api_base_credentials,
resolve_vertex_location_for_cost,
)
from litellm.proxy.openai_files_endpoints.common_utils import (
_is_base64_encoded_unified_file_id,
)
@ -853,8 +733,7 @@ class CheckBatchCost:
)
except Exception as _e:
verbose_proxy_logger.warning(
f"CheckBatchCost: failed to create managed file ID for "
f"{_file_attr}={_raw_file_id!r}: {_e}"
f"CheckBatchCost: failed to create managed file ID for {_file_attr}={_raw_file_id!r}: {_e}"
)
# Pass the deployment's router-registered pricing (litellm_params custom
@ -873,6 +752,12 @@ class CheckBatchCost:
custom_llm_provider=batch_file_provider,
model_name=model_name,
model_info=deployment_model_info,
vertex_location=resolve_vertex_location_for_cost(
custom_llm_provider=llm_provider,
litellm_params=deployment_info.litellm_params.model_dump(exclude_none=True),
optional_params=None,
model=model_name,
),
)
error_file_failed_requests: Final = await count_error_file_failed_requests(
response,
@ -890,8 +775,9 @@ class CheckBatchCost:
failed_requests=output_file_result.failed_requests + error_file_failed_requests,
)
)
logging_model: Final = batch_result.models[0] if batch_result.models else litellm_model_name or model_id
logging_obj = LiteLLMLogging(
model=batch_result.models[0],
model=logging_model,
messages=[{"role": "user", "content": "<retrieve_batch>"}],
stream=False,
call_type="aretrieve_batch",
@ -911,7 +797,7 @@ class CheckBatchCost:
},
**({"api_base": mask_api_base_credentials(deployment_api_base)} if deployment_api_base else {}),
"metadata": {
**(await self._build_creator_attribution_metadata(job, batch_id)),
**(await self._creator_attribution.batch_metadata(job, batch_id)),
# spend logs read the deployment identity off these metadata keys, so
# without them the batch cost row carries no model_id or model_group
"model_info": {"id": model_id},
@ -922,7 +808,9 @@ class CheckBatchCost:
custom_llm_provider=str(llm_provider) if llm_provider else None,
)
if not await self._claim_job_for_costing(job):
original_status: Final = job.status
original_file_object: Final = job.file_object
if not await self._claim_job_for_costing(job, response.model_copy(update={"usage": batch_result.usage})):
verbose_proxy_logger.info(
f"CheckBatchCost: batch {batch_id} (job {job.id}) was claimed by another pod "
"in this window, so its cost is already being tracked there"
@ -941,7 +829,7 @@ class CheckBatchCost:
batch_completion_cost=batch_result.completion_cost,
)
except Exception:
await self._release_job_claim(job)
await self._release_job_claim(job, original_status, original_file_object)
raise
# Record batch duration (completed_at - created_at)
@ -956,7 +844,200 @@ class CheckBatchCost:
return model_name, str(llm_provider) if llm_provider else None
async def check_batch_cost(self):
async def _retire_unbilled_terminal_job(
self, job: "ManagedObjectRow", response: "LiteLLMBatch", model_id: str, batch_id: str
) -> None:
"""Persist a terminal batch that has nothing billable, then store its lines, reading its input file by the id
the provider reported rather than the managed id that was persisted."""
provider_input_file_id: Final = response.input_file_id
if await self._finalize_unbilled_terminal_job(job, response):
response.input_file_id = provider_input_file_id
self._store_batch_line_items_in_background(job, response, model_id, batch_id, billed=False)
def _store_batch_line_items_in_background(
self, job: "ManagedObjectRow", response: "LiteLLMBatch", model_id: str, batch_id: str, *, billed: bool
) -> None:
"""Store a retired batch's lines off the poll loop, one batch at a time and only between polls, so neither
pricing the lines nor a slow or hung bucket holds up billing or retiring the other batches. While a poll
cycle's worth of batches is still waiting, the lines of the next one are dropped with an error."""
if not litellm.batch_line_item_callbacks:
return
if len(self._line_item_stores) >= MAX_OBJECTS_PER_POLL_CYCLE:
verbose_proxy_logger.error(
f"CheckBatchCost: {len(self._line_item_stores)} batches are still waiting to store their line items, "
f"so the line items of batch {batch_id} (job {job.id}) were not stored"
)
return
store: Final = asyncio.create_task(
self._store_batch_line_items_in_turn(job, response, model_id, batch_id, billed=billed)
)
self._line_item_stores.add(store)
store.add_done_callback(self._line_item_stores.discard)
async def _store_batch_line_items_in_turn(
self, job: "ManagedObjectRow", response: "LiteLLMBatch", model_id: str, batch_id: str, *, billed: bool
) -> None:
async with self._line_item_store_turn:
await self._poll_idle.wait()
await self._store_batch_line_items(job, response, model_id, batch_id, billed=billed)
async def _store_batch_line_items(
self, job: "ManagedObjectRow", response: "LiteLLMBatch", model_id: str, batch_id: str, *, billed: bool
) -> None:
"""Send every line of a finished batch to batch_line_item_callbacks, one part at a time. A billed batch's
output file is read again here, so nothing waiting for its turn holds a batch's files. Failures, including an
output file that can no longer be read, are logged and never raised, so the batch stays billed and retired
whether or not its lines were stored."""
if not litellm.batch_line_item_callbacks:
return
from litellm.batches.batch_line_items import (
BatchFileProvider,
BatchLineItemSource,
batch_line_item_parts,
dispatch_batch_line_items,
line_item_metadata,
)
from litellm.batches.batch_utils import fetch_batch_managed_file_content
from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
from litellm.litellm_core_utils.litellm_logging import (
deployment_pricing_model_info,
resolve_vertex_location_for_cost,
)
try:
deployment_info: Final = self.llm_router.get_deployment(model_id=model_id)
if deployment_info is None:
verbose_proxy_logger.error(
f"CheckBatchCost: deployment {model_id} is no longer in the router, so the line items of batch "
f"{batch_id} (job {job.id}) were not stored"
)
return
litellm_model_name: Final = deployment_info.litellm_params.model
model_name, llm_provider, _, _ = get_llm_provider(
model=litellm_model_name,
custom_llm_provider=deployment_info.litellm_params.custom_llm_provider,
)
cost_provider: Final = cast(BatchFileProvider, llm_provider)
credentials: Final = self.llm_router.get_deployment_credentials_with_provider(model_id) or {}
file_access: Final = {
**credentials,
"_litellm_internal_model_credentials": MappingProxyType(dict(credentials)),
}
output_content: Final = (
await fetch_batch_managed_file_content(
response.output_file_id, custom_llm_provider=cost_provider, litellm_params=file_access
)
if billed and response.output_file_id
else b""
)
error_content: Final = await self._batch_file_content(response.error_file_id, cost_provider, file_access)
if not output_content and not error_content:
return
redact_bodies: Final = await self._creator_turned_off_message_logging(job)
source: Final = BatchLineItemSource(
batch_id=job.unified_object_id,
finished_at=response.completed_at
or response.failed_at
or response.expired_at
or response.cancelled_at
or response.created_at,
model=model_name,
custom_llm_provider=llm_provider,
cost_provider=cost_provider,
model_info=deployment_pricing_model_info(model_id=model_id, deployment_model=litellm_model_name),
metadata=line_item_metadata(await self._creator_attribution.batch_metadata(job, batch_id)),
vertex_location=resolve_vertex_location_for_cost(
custom_llm_provider=llm_provider,
litellm_params=deployment_info.litellm_params.model_dump(exclude_none=True),
optional_params=None,
model=model_name,
),
)
input_content: Final = (
b""
if redact_bodies
else await self._batch_file_content(response.input_file_id, cost_provider, file_access)
)
parts: Final = batch_line_item_parts(
source, input_content, (output_content, error_content), BATCH_LINE_ITEMS_MAX_PART_BYTES
)
handed = 0
# pricing a part's lines is CPU-bound, so each part is built off the event loop
while (payload := await asyncio.to_thread(next, parts, None)) is not None:
await dispatch_batch_line_items(payload, redact_bodies=redact_bodies)
handed += len(payload["lines"])
if handed:
verbose_proxy_logger.info(
f"CheckBatchCost: handed the {handed} line items of batch {batch_id} to batch_line_item_callbacks"
)
except Exception as error: # noqa: BLE001 # storing the lines is best effort, the batch is already billed
verbose_proxy_logger.exception(
f"CheckBatchCost: the line items of batch {batch_id} (job {job.id}) were not stored: {error}"
)
@staticmethod
async def _batch_file_content(
file_id: str | None, custom_llm_provider: "BatchFileProvider", file_access: Mapping[str, object]
) -> bytes:
"""A batch file's raw JSONL, or nothing when the batch has no such file or the provider will not serve it."""
from litellm.batches.batch_utils import fetch_batch_managed_file_content
if not file_id:
return b""
try:
return await fetch_batch_managed_file_content(
file_id, custom_llm_provider=custom_llm_provider, litellm_params=file_access
)
except Exception as error: # noqa: BLE001 # a missing input or error file leaves those lines out, not the rest
verbose_proxy_logger.warning(f"CheckBatchCost: could not read batch file {file_id}: {error}")
return b""
async def _creator_turned_off_message_logging(self, job: "ManagedObjectRow") -> bool:
"""Whether the creating key's or team's logging settings turn off message logging, falling back to the
proxy-wide setting. A batch whose saved credential is not a virtual key's hash, such as one created under JWT
or OAuth2 auth or with the master key, has only its team's and the proxy's settings. A key or team that can no
longer be read counts as turned off."""
from litellm.litellm_core_utils.litellm_logging import is_valid_sha256_hash
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.litellm_pre_call_utils import get_dynamic_logging_metadata
from litellm.proxy.proxy_server import proxy_config
from litellm.secret_managers.main import str_to_bool
api_key: Final = getattr(job, "api_key", None)
team_id: Final = getattr(job, "team_id", None)
has_key_row: Final = api_key is not None and is_valid_sha256_hash(api_key)
try:
key_row: Final = (
await _token_table(self.prisma_client).find_unique(where={"token": api_key}) if has_key_row else None
)
team_row: Final = (
await _team_table(self.prisma_client).find_unique(where={"team_id": team_id}) if team_id else None
)
except Exception as error:
verbose_proxy_logger.error(
f"CheckBatchCost: could not read the logging settings of batch job {job.id}'s creator, "
f"so its line items are stored without request and response: {error}"
)
return True
if (has_key_row and key_row is None) or (team_id and team_row is None):
return True
settings: Final = get_dynamic_logging_metadata(
UserAPIKeyAuth(metadata=_row_metadata(key_row), team_metadata=_row_metadata(team_row), team_id=team_id),
proxy_config,
)
callback_vars: Final = (settings.callback_vars if settings is not None else None) or {}
creator_setting: Final = str_to_bool(callback_vars.get("turn_off_message_logging"))
return creator_setting if creator_setting is not None else litellm.turn_off_message_logging is True
async def check_batch_cost(self) -> None:
"""Run one poll cycle. Batch line items wait until it has billed and retired every batch it found."""
self._poll_idle.clear()
try:
await self._poll_batches()
finally:
self._poll_idle.set()
async def _poll_batches(self):
"""
Check if the batch JOB has been tracked.
- get all status="validating" and file_purpose="batch" jobs
@ -1050,10 +1131,7 @@ class CheckBatchCost:
continue
## RETRIEVE THE BATCH JOB OUTPUT FILE
if (
response.status in PROVIDER_TERMINAL_BATCH_STATUSES
and response.output_file_id is not None
):
if response.status in PROVIDER_TERMINAL_BATCH_STATUSES and response.output_file_id is not None:
try:
tracked = await self._track_completed_batch_cost(
job=job,
@ -1070,7 +1148,7 @@ class CheckBatchCost:
f"CheckBatchCost: output file {response.output_file_id} of batch {batch_id} "
f"does not exist at the provider; retiring job {job.id} unbilled"
)
await self._finalize_unbilled_terminal_job(job, response)
await self._retire_unbilled_terminal_job(job, response, model_id, batch_id)
continue
verbose_proxy_logger.error(
f"CheckBatchCost: failed to track cost for batch {batch_id} "
@ -1084,22 +1162,21 @@ class CheckBatchCost:
# Track this job for the final metrics summary
processed_models.append(tracked)
# mark the job as complete
try:
update_data: dict = {
"status": response.status if response.status != "completed" else "complete",
"file_object": response.model_dump_json(),
}
if self._has_batch_processed_column:
update_data["batch_processed"] = True
await _managed_object_table(self.prisma_client).update(
where={"id": job.id},
data=update_data,
)
except Exception as db_err:
verbose_proxy_logger.error(
f"CheckBatchCost: failed to mark job {job.id} complete in DB: {db_err}"
)
if not self._has_batch_processed_column:
try:
await _managed_object_table(self.prisma_client).update(
where={"id": job.id},
data={
"status": response.status if response.status != "completed" else "complete",
"file_object": response.model_dump_json(),
},
)
except Exception as db_err:
verbose_proxy_logger.error(
f"CheckBatchCost: failed to mark job {job.id} complete in DB: {db_err}"
)
continue
self._store_batch_line_items_in_background(job, response, model_id, batch_id, billed=True)
elif response.status in PROVIDER_TERMINAL_BATCH_STATUSES:
from litellm.proxy.openai_files_endpoints.common_utils import (
@ -1112,7 +1189,7 @@ class CheckBatchCost:
f"has not appeared yet; leaving job {job.id} for the next poll cycle"
)
continue
await self._finalize_unbilled_terminal_job(job, response)
await self._retire_unbilled_terminal_job(job, response, model_id, batch_id)
# Record polling run metrics (always, even if nothing was processed)
if prom_logger:

View file

@ -1,12 +1,36 @@
"""
Polls LiteLLM_ManagedObjectTable to check if the response is complete.
Cost tracking is handled by the get-responses call, which prices normally only because the
poll stamps itself with BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN; user-facing reads of the
same route are non-inference and free.
A background response is billed exactly once: whichever client read or poll first sees it
finished moves its row out of a pending status, then logs the body that read already fetched as
one spend event stamped with BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN and the creating key's
attribution, priced against the deployment that served it. The poll's status checks are stamped
with BACKGROUND_RESPONSE_STATUS_POLL_CALL_ORIGIN and client reads are marked managed by the
managed files hook, so both stay free. The spend event carries the id the client holds, the row's
unified_object_id, so its spend log is found under that id with the _background_cost suffix.
A read that finds no row, because the create could not store one, stores it under the reading key
and bills it the same way, so a response the create left untracked is still billed once. A streamed
background create is free on its own; its stream stores the row under the creating key and bills
the finished response through it before the client sees response.completed.
A read the caller retargets with client-side credentials, and a delete of a still-pending response,
settle the bill from a fetch through the configured deployment instead: the client controls what a
retargeted read returns, and a deleted response leaves the poll nothing to fetch.
A row stored before this billing model keeps the encrypted create id as its model_object_id. The
first lookup by that id rekeys it by the provider id, and the poll retires such a row without
billing it once a read has already tracked the response under the provider id.
"""
import uuid
from collections.abc import Awaitable, Callable, Mapping
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from typing import TYPE_CHECKING, Dict, Final, Protocol, cast
from types import MappingProxyType
from typing import TYPE_CHECKING, Final, cast
from litellm_enterprise.proxy.common_utils.managed_object_attribution import (
ManagedObjectCreatorAttribution,
ManagedObjectRow,
)
from pydantic import BaseModel, ConfigDict, TypeAdapter
import litellm
from litellm._logging import verbose_proxy_logger
@ -14,36 +38,124 @@ from litellm.constants import (
INTERNAL_CALL_ORIGIN_METADATA_KEY,
MANAGED_OBJECT_STALENESS_CUTOFF_DAYS,
MAX_OBJECTS_PER_POLL_CYCLE,
PENDING_RESPONSE_STATUSES,
STALE_OBJECT_CLEANUP_BATCH_SIZE,
TERMINAL_RESPONSE_STATUSES,
)
from litellm.proxy.hooks.responses_id_security import decrypted_response_id
from litellm.repositories.table_repositories import ManagedObjectRepository
from litellm.responses.utils import ResponsesAPIRequestUtils
from litellm.types.llms.openai import ResponsesAPIResponse
from litellm.types.utils import BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN
from litellm.types.router import Deployment
from litellm.types.utils import (
BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN,
BACKGROUND_RESPONSE_STATUS_POLL_CALL_ORIGIN,
)
if TYPE_CHECKING:
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
from litellm.proxy.utils import PrismaClient, ProxyLogging
from litellm.repositories.prisma_protocols import TableActions
from litellm.router import Router
TERMINAL_RESPONSE_STATUSES = frozenset({"completed", "failed", "cancelled", "incomplete"})
_STORED_RESPONSE_ADAPTER: Final[TypeAdapter[dict[str, object]]] = TypeAdapter(dict[str, object])
_RETRIEVE_RESPONSE_CALL_TYPE: Final = "aget_responses"
class _ManagedObjectRow(Protocol):
@property
def id(self) -> str: ...
@property
def unified_object_id(self) -> str: ...
@property
def created_by(self) -> str | None: ...
@property
def file_object(self) -> object: ...
@dataclass(frozen=True, slots=True)
class _PollTarget:
response_id: str
model_metadata: Mapping[str, object]
deployment: Deployment | None
def _managed_object_table(prisma_client: "PrismaClient") -> "TableActions[_ManagedObjectRow]":
@dataclass(frozen=True, slots=True)
class BilledBackgroundResponse:
response: ResponsesAPIResponse
model: str
custom_llm_provider: str | None
litellm_params: Mapping[str, object]
metadata: Mapping[str, object]
@dataclass(frozen=True, slots=True)
class BilledCharge:
cost: float | None
logging_obj: "LiteLLMLogging"
BilledResponseLogger = Callable[[BilledBackgroundResponse], Awaitable[BilledCharge]]
UntrackedResponseTracker = Callable[[ResponsesAPIResponse], Awaitable[bool]]
def _without_read_price(response: ResponsesAPIResponse) -> ResponsesAPIResponse:
unpriced: Final = response.model_copy(deep=True)
unpriced.hidden_params = {key: value for key, value in response.hidden_params.items() if key != "response_cost"}
return unpriced
async def log_billed_background_response(billed: BilledBackgroundResponse) -> BilledCharge:
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER
logging_obj: Final = LiteLLMLogging(
model=billed.model,
messages=[{"role": "user", "content": "<retrieve_response>"}],
stream=False,
call_type=_RETRIEVE_RESPONSE_CALL_TYPE,
start_time=datetime.now(),
litellm_call_id=str(uuid.uuid4()),
function_id=str(uuid.uuid4()),
)
logging_obj.update_environment_variables(
litellm_params={**billed.litellm_params, "metadata": dict(billed.metadata)},
optional_params={},
custom_llm_provider=billed.custom_llm_provider,
)
unpriced: Final = _without_read_price(billed.response)
cost: Final = logging_obj.response_cost_calculator(result=unpriced)
end_time: Final = datetime.now()
GLOBAL_LOGGING_WORKER.ensure_initialized_and_enqueue(
async_coroutine=logging_obj.async_success_handler(
result=unpriced, start_time=logging_obj.start_time, end_time=end_time
)
)
logging_obj.handle_sync_success_callbacks_for_async_calls(
result=unpriced, start_time=logging_obj.start_time, end_time=end_time
)
return BilledCharge(cost=cost, logging_obj=logging_obj)
class _DeploymentBaseModel(BaseModel):
model_config = ConfigDict(frozen=True)
base_model: str | None = None
def _deployment_litellm_params(deployment: Deployment) -> Mapping[str, object]:
from litellm.litellm_core_utils.litellm_logging import mask_api_base_credentials
api_base: Final = deployment.litellm_params.api_base
base_model: Final = _DeploymentBaseModel.model_validate(deployment.litellm_params, from_attributes=True).base_model
return MappingProxyType(
{
**({"api_base": mask_api_base_credentials(api_base)} if api_base else {}),
**({"base_model": base_model} if base_model else {}),
}
)
def _deployment_metadata(deployment: Deployment) -> Mapping[str, object]:
return MappingProxyType(
{
"model_info": deployment.model_info.model_dump(exclude_none=True),
"model_group": deployment.model_name,
"deployment": deployment.litellm_params.model,
}
)
def _managed_object_table(prisma_client: "PrismaClient") -> "TableActions[ManagedObjectRow]":
return ManagedObjectRepository(prisma_client).table
@ -51,12 +163,17 @@ def _is_response_gone_at_provider(error: Exception, provider_response_id: str) -
return getattr(error, "status_code", None) == 404 and provider_response_id in str(error)
def _keyed_by_issued_id(job: ManagedObjectRow) -> bool:
return decrypted_response_id(job.model_object_id) != job.model_object_id
class CheckResponsesCost:
def __init__(
self,
proxy_logging_obj: "ProxyLogging",
prisma_client: "PrismaClient",
llm_router: "Router",
log_billed_response: BilledResponseLogger = log_billed_background_response,
):
from litellm.proxy.utils import PrismaClient, ProxyLogging
from litellm.router import Router
@ -64,15 +181,17 @@ class CheckResponsesCost:
self.proxy_logging_obj: ProxyLogging = proxy_logging_obj
self.prisma_client: PrismaClient = prisma_client
self.llm_router: Router = llm_router
self._creator_attribution: Final = ManagedObjectCreatorAttribution(prisma_client, "CheckResponsesCost")
self._log_billed_response: Final = log_billed_response
def _resolve_deployment(self, response_id: str) -> bool:
def _resolve_deployment(self, response_id: str) -> Deployment | None:
model_id: str | None = ResponsesAPIRequestUtils.get_model_id_from_response_id(response_id)
return model_id is not None and self.llm_router.get_deployment(model_id=model_id) is not None
return self.llm_router.get_deployment(model_id=model_id) if model_id is not None else None
async def _get_response(
self,
response_id: str,
litellm_metadata: Dict[str, str],
litellm_metadata: dict[str, object],
via_router: bool,
) -> ResponsesAPIResponse:
"""Fetch the upstream response, using deployment credentials when available.
@ -91,9 +210,17 @@ class CheckResponsesCost:
)
return cast(ResponsesAPIResponse, router_response)
async def _expire_stale_rows(
self, cutoff: datetime, batch_size: int
) -> int:
async def _fetch_unbilled(self, target: _PollTarget) -> ResponsesAPIResponse:
return await self._get_response(
response_id=target.response_id,
litellm_metadata={
**target.model_metadata,
INTERNAL_CALL_ORIGIN_METADATA_KEY: BACKGROUND_RESPONSE_STATUS_POLL_CALL_ORIGIN,
},
via_router=target.deployment is not None,
)
async def _expire_stale_rows(self, cutoff: datetime, batch_size: int) -> int:
"""Execute the bounded UPDATE that marks stale rows as 'stale_expired'.
Isolated so it can be swapped / mocked in tests without touching the
@ -140,14 +267,154 @@ class CheckResponsesCost:
f"(older than {MANAGED_OBJECT_STALENESS_CUTOFF_DAYS} days) as stale_expired"
)
def _target(self, response_id: str, model_name: str | None) -> _PollTarget:
return _PollTarget(
response_id=response_id,
model_metadata=MappingProxyType({"model": model_name, "model_group": model_name} if model_name else {}),
deployment=self._resolve_deployment(response_id),
)
def _poll_target(self, job: ManagedObjectRow) -> _PollTarget:
stored_model: Final = _STORED_RESPONSE_ADAPTER.validate_python(job.file_object).get("model")
return self._target(
decrypted_response_id(job.unified_object_id), stored_model if isinstance(stored_model, str) else None
)
async def _claim_for_billing(self, job: ManagedObjectRow) -> bool:
claimed: Final = await _managed_object_table(self.prisma_client).update_many(
# bounded-ok: PENDING_RESPONSE_STATUSES is a two-value constant tuple
where={"id": job.id, "status": {"in": list(PENDING_RESPONSE_STATUSES)}},
data={"status": "completed"},
)
return claimed > 0
async def _release_billing_claim(self, job: ManagedObjectRow) -> None:
await _managed_object_table(self.prisma_client).update_many(
where={"id": job.id, "status": "completed"},
data={"status": job.status or PENDING_RESPONSE_STATUSES[0]},
)
async def _billed_response(
self,
job: ManagedObjectRow,
target: _PollTarget,
response: ResponsesAPIResponse,
) -> BilledBackgroundResponse:
deployment: Final = target.deployment
return BilledBackgroundResponse(
response=response.model_copy(update={"id": job.unified_object_id}),
model=deployment.litellm_params.model if deployment is not None else (response.model or ""),
custom_llm_provider=ResponsesAPIRequestUtils.decode_responses_api_response_id(target.response_id).get(
"custom_llm_provider"
),
litellm_params=_deployment_litellm_params(deployment) if deployment is not None else MappingProxyType({}),
metadata=MappingProxyType(
{
**(await self._creator_attribution.response_metadata(job, job.unified_object_id)),
INTERNAL_CALL_ORIGIN_METADATA_KEY: BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN,
**target.model_metadata,
**(_deployment_metadata(deployment) if deployment is not None else {}),
}
),
)
async def _bill_once(
self,
job: ManagedObjectRow,
target: _PollTarget,
response: ResponsesAPIResponse,
) -> BilledCharge | None:
if not await self._claim_for_billing(job):
verbose_proxy_logger.info(f"Response {job.unified_object_id} was already billed elsewhere, skipping")
return None
try:
charge: Final = await self._log_billed_response(await self._billed_response(job, target, response))
except BaseException:
await self._release_billing_claim(job)
raise
verbose_proxy_logger.info(f"Response {job.unified_object_id} reached a terminal status and was billed")
return charge
async def _job_for_provider_id(self, provider_response_id: str) -> ManagedObjectRow | None:
return await _managed_object_table(self.prisma_client).find_first(
where={"model_object_id": provider_response_id, "file_purpose": "response"}
)
async def _rekey_by_provider_id(self, job: ManagedObjectRow) -> None:
await _managed_object_table(self.prisma_client).update_many(
where={"id": job.id}, data={"model_object_id": decrypted_response_id(job.model_object_id)}
)
async def _tracked_job(self, response_id: str) -> ManagedObjectRow | None:
if tracked := await self._job_for_provider_id(decrypted_response_id(response_id)):
return tracked
stored_by_issued_id: Final = await _managed_object_table(self.prisma_client).find_first(
where={"unified_object_id": response_id, "file_purpose": "response"}
)
if stored_by_issued_id is not None and _keyed_by_issued_id(stored_by_issued_id):
await self._rekey_by_provider_id(stored_by_issued_id)
return stored_by_issued_id
async def _superseded_by_a_provider_id_row(self, job: ManagedObjectRow) -> bool:
if not _keyed_by_issued_id(job):
return False
if await self._job_for_provider_id(decrypted_response_id(job.model_object_id)) is None:
await self._rekey_by_provider_id(job)
return False
await self._claim_for_billing(job)
return True
async def _track_from_deployment(
self, response_id: str, track_untracked: UntrackedResponseTracker | None
) -> BilledCharge | None:
target: Final = self._target(decrypted_response_id(response_id), None)
if track_untracked is None or target.deployment is None:
return None
return await self.bill_if_finished(response_id, await self._fetch_unbilled(target), track_untracked)
async def _start_tracking(
self, response_id: str, response: ResponsesAPIResponse, track_untracked: UntrackedResponseTracker | None
) -> ManagedObjectRow | None:
if track_untracked is None or not await track_untracked(response):
return None
return await self._tracked_job(response_id)
async def bill_if_finished(
self,
response_id: str,
response: ResponsesAPIResponse,
track_untracked: UntrackedResponseTracker | None = None,
) -> BilledCharge | None:
if response.status not in TERMINAL_RESPONSE_STATUSES:
return None
job: Final = await self._tracked_job(response_id) or await self._start_tracking(
response_id, response, track_untracked
)
if job is None or job.status not in PENDING_RESPONSE_STATUSES:
return None
return await self._bill_once(job, self._poll_target(job), response)
async def bill_from_deployment(
self, response_id: str, track_untracked: UntrackedResponseTracker | None = None
) -> BilledCharge | None:
job: Final = await self._tracked_job(response_id)
if job is None:
return await self._track_from_deployment(response_id, track_untracked)
if job.status not in PENDING_RESPONSE_STATUSES:
return None
target: Final = self._poll_target(job)
response: Final = await self._fetch_unbilled(target)
if response.status not in TERMINAL_RESPONSE_STATUSES:
return None
return await self._bill_once(job, target, response)
async def check_responses_cost(self):
"""
Check if background responses are complete and track their cost.
- Get all status="queued" or "in_progress" and file_purpose="response" jobs
- Query the provider to check if response is complete
- Cost is tracked by the get-responses call, billed because the poll is stamped
with BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN
- Mark responses in a terminal state as complete in the database
- Query the provider, unbilled, to check if the response is complete
- Claim each terminal job by moving its row to completed, then log the body that check fetched
as its one billed event, so two pollers racing over the same job bill it once
- Mark responses the provider no longer has (404 through a resolved
deployment) as stale_expired
"""
@ -160,99 +427,53 @@ class CheckResponsesCost:
jobs = await _managed_object_table(self.prisma_client).find_many(
where={
"status": {"in": ["queued", "in_progress"]},
# bounded-ok: PENDING_RESPONSE_STATUSES is a two-value constant tuple
"status": {"in": list(PENDING_RESPONSE_STATUSES)},
"file_purpose": "response",
},
take=MAX_OBJECTS_PER_POLL_CYCLE,
order={"created_at": "asc"},
)
verbose_proxy_logger.debug(f"Found {len(jobs)} response jobs to check")
completed_jobs: Final[list[_ManagedObjectRow]] = []
expired_jobs: Final[list[_ManagedObjectRow]] = []
expired_jobs: Final[list[ManagedObjectRow]] = []
for job in jobs:
unified_object_id = job.unified_object_id
try:
from litellm.proxy.hooks.responses_id_security import (
ResponsesIDSecurity,
)
# Get the stored response object to extract model information
stored_response = job.file_object
model_name = stored_response.get("model", None)
# Decrypt the response ID
responses_id_security, _, _ = ResponsesIDSecurity()._decrypt_response_id(unified_object_id)
# Prepare metadata with model information for cost tracking
litellm_metadata = {
"user_api_key_user_id": job.created_by or "default-user-id",
INTERNAL_CALL_ORIGIN_METADATA_KEY: BACKGROUND_RESPONSE_COST_POLL_CALL_ORIGIN,
}
# Add model information if available
if model_name:
litellm_metadata["model"] = model_name
litellm_metadata["model_group"] = model_name # Use same value for model_group
via_router = self._resolve_deployment(responses_id_security)
if await self._superseded_by_a_provider_id_row(job):
verbose_proxy_logger.info(f"Response {unified_object_id} is billed under its provider id row")
continue
target = self._poll_target(job)
except Exception as e:
verbose_proxy_logger.warning(
f"Skipping job {unified_object_id} due to error: {e}"
)
verbose_proxy_logger.warning(f"Skipping job {unified_object_id} due to error: {e}")
continue
provider_response_id = ResponsesAPIRequestUtils.decode_responses_api_response_id(
responses_id_security
).get("response_id", responses_id_security)
provider_response_id = ResponsesAPIRequestUtils.decode_responses_api_response_id(target.response_id).get(
"response_id", target.response_id
)
try:
response = await self._get_response(
response_id=responses_id_security,
litellm_metadata=litellm_metadata,
via_router=via_router,
)
response = await self._fetch_unbilled(target)
verbose_proxy_logger.debug(
f"Response {unified_object_id} status: {response.status}, model: {model_name}"
)
verbose_proxy_logger.debug(f"Response {unified_object_id} status: {response.status}")
if response.status in TERMINAL_RESPONSE_STATUSES:
await self._bill_once(job, target, response)
except Exception as e:
if via_router and _is_response_gone_at_provider(e, provider_response_id):
if target.deployment is not None and _is_response_gone_at_provider(e, provider_response_id):
verbose_proxy_logger.info(
f"Response {unified_object_id} no longer available at provider (404), marking stale_expired: {e}"
)
expired_jobs.append(job)
continue
verbose_proxy_logger.warning(
f"Skipping job {unified_object_id} due to error: {e}"
)
verbose_proxy_logger.warning(f"Skipping job {unified_object_id} due to error: {e}")
continue
if response.status in TERMINAL_RESPONSE_STATUSES:
verbose_proxy_logger.info(
f"Response {unified_object_id} has terminal status {response.status}, marking as complete"
)
completed_jobs.append(job)
# Mark completed jobs in the database
if len(completed_jobs) > 0:
await _managed_object_table(self.prisma_client).update_many(
# bounded-ok: at most MAX_OBJECTS_PER_POLL_CYCLE rows per cycle, the find_many take above
where={"id": {"in": [job.id for job in completed_jobs]}},
data={"status": "completed"},
)
verbose_proxy_logger.info(
f"Marked {len(completed_jobs)} response jobs as completed"
)
if len(expired_jobs) > 0:
await _managed_object_table(self.prisma_client).update_many(
# bounded-ok: at most MAX_OBJECTS_PER_POLL_CYCLE rows per cycle, the find_many take above
where={"id": {"in": [job.id for job in expired_jobs]}},
data={"status": "stale_expired"},
)
verbose_proxy_logger.info(
f"Marked {len(expired_jobs)} response jobs as stale_expired"
)
verbose_proxy_logger.info(f"Marked {len(expired_jobs)} response jobs as stale_expired")

View file

@ -0,0 +1,218 @@
"""Creator attribution for the spend row a managed-object cost poll writes.
A batch or a background response is billed by a poll job that runs long after the creating
request returned, so the managed object row's creator columns are the only record of which
key, team, organization, user, end user, and tags carry the spend.
"""
from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass
from typing import TYPE_CHECKING, Final, Protocol, cast
from pydantic import TypeAdapter
from litellm._logging import verbose_proxy_logger
from litellm.constants import CLI_SESSION_KEY_PREFIX
from litellm.repositories.team_repository import TeamRepository
from litellm.repositories.user_repository import UserRepository
from litellm.repositories.verification_token_repository import VerificationTokenRepository
if TYPE_CHECKING:
from prisma import models as prisma_models
from litellm.proxy.utils import PrismaClient
from litellm.repositories.prisma_protocols import TableActions
class ManagedObjectRow(Protocol):
@property
def id(self) -> str: ...
@property
def unified_object_id(self) -> str: ...
@property
def model_object_id(self) -> str: ...
@property
def created_by(self) -> str | None: ...
@property
def status(self) -> str | None: ...
@property
def file_object(self) -> object: ...
@property
def org_id(self) -> str | None: ...
@property
def api_key(self) -> str | None: ...
@property
def team_id(self) -> str | None: ...
@property
def request_tags(self) -> object: ...
@property
def end_user_id(self) -> str | None: ...
_TAG_LIST_ADAPTER: Final[TypeAdapter[list[object]]] = TypeAdapter(list[object])
_KEY_OWNER_SCOPE_PREFIX: Final = "key:"
def _string_tags(request_tags: object) -> list[str] | None:
if not isinstance(request_tags, list):
return None
return [tag for tag in _TAG_LIST_ADAPTER.validate_python(request_tags) if isinstance(tag, str)] or None
def _creator_user_id(created_by: str | None) -> str | None:
if created_by is None or created_by.startswith(_KEY_OWNER_SCOPE_PREFIX):
return None
return created_by
def _user_table(prisma_client: PrismaClient) -> TableActions[prisma_models.LiteLLM_UserTable]:
return UserRepository(prisma_client).table
def _token_table(prisma_client: PrismaClient) -> TableActions[prisma_models.LiteLLM_VerificationToken]:
return VerificationTokenRepository(prisma_client).table
def _team_table(prisma_client: PrismaClient) -> TableActions[prisma_models.LiteLLM_TeamTable]:
return TeamRepository(prisma_client).table
@dataclass(frozen=True, slots=True)
class _CreatorRows:
key: prisma_models.LiteLLM_VerificationToken | None
team: prisma_models.LiteLLM_TeamTable | None
user: prisma_models.LiteLLM_UserTable | None
class ManagedObjectCreatorAttribution:
"""Rebuilds the spend-tracking metadata of whoever created a managed object, so the poll
job's spend row is attributed like the creating request: key hash, team, organization,
user, aliases, and tags.
Rows created before api_key and request_tags were persisted carry only created_by and
team_id, and fall back to those. A named creating key owns user_api_key_alias; when it
has no alias, or the key has since been rotated or deleted, the field keeps the creating
user's alias, because a resolvable name is more useful on the spend row than a null.
user_api_key_org_id is resolved too: the spend update writer reads it off this metadata
to increment organization spend, so leaving it out drops the cost from org accounting.
A background response also carries its end user and the key, team, and user budgets, the
way the read that billed it before did, and never names a key-scoped creator as its user.
"""
def __init__(self, prisma_client: PrismaClient, poller_name: str) -> None:
self._prisma_client: Final = prisma_client
self._poller_name: Final = poller_name
async def batch_metadata(self, job: ManagedObjectRow, object_id: str) -> Mapping[str, object]:
rows: Final = await self._rows(job, object_id)
return {"user_api_key_user_id": job.created_by, **_shared_metadata(job, rows)}
async def response_metadata(self, job: ManagedObjectRow, object_id: str) -> Mapping[str, object]:
rows: Final = await self._rows(job, object_id)
end_user_id: Final = getattr(job, "end_user_id", None)
return {
"user_api_key_user_id": _creator_user_id(job.created_by),
**_shared_metadata(job, rows),
**({"user_api_key_end_user_id": end_user_id} if end_user_id else {}),
**_budget_fields(rows.key, "user_api_key_spend", "user_api_key_max_budget"),
**_budget_fields(rows.team, "user_api_key_team_spend", "user_api_key_team_max_budget"),
**_budget_fields(rows.user, "user_api_key_user_spend", "user_api_key_user_max_budget"),
}
async def _rows(self, job: ManagedObjectRow, object_id: str) -> _CreatorRows:
return _CreatorRows(
key=await self._key_row(object_id, getattr(job, "api_key", None), job.created_by),
team=await self._team_row(object_id, getattr(job, "team_id", None)),
user=await self._user_row(object_id, _creator_user_id(job.created_by)),
)
async def _user_row(self, object_id: str, user_id: str | None) -> prisma_models.LiteLLM_UserTable | None:
"""Objects created by a team or service account key carry no user id, and
find_unique(where={"user_id": None}) raises, so those resolve no row."""
if not user_id:
return None
try:
return await _user_table(self._prisma_client).find_unique(where={"user_id": user_id})
except Exception as e:
verbose_proxy_logger.error(f"{self._poller_name}: could not look up user {user_id} for {object_id}: {e}")
return None
async def _key_row(
self, object_id: str, api_key: str | None, created_by: str | None
) -> prisma_models.LiteLLM_VerificationToken | None:
if not api_key or _is_cli_session_key(api_key, created_by):
return None
try:
return await _token_table(self._prisma_client).find_unique(where={"token": api_key})
except Exception as e:
verbose_proxy_logger.error(f"{self._poller_name}: could not look up the creating key for {object_id}: {e}")
return None
async def _team_row(self, object_id: str, team_id: str | None) -> prisma_models.LiteLLM_TeamTable | None:
if not team_id:
return None
try:
return await _team_table(self._prisma_client).find_unique(where={"team_id": team_id})
except Exception as e:
verbose_proxy_logger.error(f"{self._poller_name}: could not look up team {team_id} for {object_id}: {e}")
return None
def _shared_metadata(job: ManagedObjectRow, rows: _CreatorRows) -> Mapping[str, object]:
api_key: Final = getattr(job, "api_key", None)
team_id: Final = getattr(job, "team_id", None)
key_alias: Final = _key_alias(api_key, job.created_by, rows.key)
team_alias: Final = getattr(rows.team, "team_alias", None)
org_id: Final = getattr(job, "org_id", None) or _organization_id(rows.key) or _organization_id(rows.team)
tags: Final = _string_tags(getattr(job, "request_tags", None))
return {
"user_api_key": api_key,
"user_api_key_hash": api_key,
"user_api_key_team_id": team_id,
**(
{
"user_api_key_user_email": getattr(rows.user, "user_email", None),
"user_api_key_alias": getattr(rows.user, "user_alias", None),
}
if rows.user is not None
else {}
),
**({"user_api_key_alias": key_alias} if key_alias is not None else {}),
**({"user_api_key_team_alias": team_alias} if team_alias is not None else {}),
**({"user_api_key_org_id": org_id} if org_id is not None else {}),
**({"tags": tags} if tags else {}),
}
def _is_cli_session_key(api_key: str, created_by: str | None) -> bool:
return bool(created_by) and api_key == f"{CLI_SESSION_KEY_PREFIX}-{created_by}"
def _key_alias(
api_key: str | None, created_by: str | None, key_row: prisma_models.LiteLLM_VerificationToken | None
) -> str | None:
if api_key and _is_cli_session_key(api_key, created_by):
return api_key
return getattr(key_row, "key_alias", None) if key_row is not None else None
def _organization_id(row: object) -> str | None:
return cast("str | None", getattr(row, "organization_id", None)) if row is not None else None
def _budget_fields(row: object, spend_key: str, max_budget_key: str) -> Mapping[str, object]:
if row is None:
return {}
return {spend_key: getattr(row, "spend", None), max_budget_key: getattr(row, "max_budget", None)}

View file

@ -6,6 +6,7 @@ import base64
import json
import time
from collections.abc import Awaitable, Callable, Iterator, Mapping, Sequence
from itertools import chain
from types import MappingProxyType
from typing import (
TYPE_CHECKING,
@ -24,7 +25,9 @@ from uuid import NAMESPACE_URL, uuid5
import httpx
from fastapi import HTTPException
from pydantic import ValidationError
from openai import APIConnectionError, AsyncOpenAI
from openai.types.file_deleted import FileDeleted
from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
from typing_extensions import ReadOnly, Unpack
import litellm
@ -35,17 +38,17 @@ from litellm.caching.caching import DualCache
from litellm.constants import (
BATCH_OUTPUT_FILE_FALLBACK_RETRY_AFTER_SECONDS,
BATCH_OUTPUT_FILE_LOOKUP_TIMEOUT_SECONDS,
MANAGED_BACKGROUND_RESPONSE_METADATA_KEY,
MAX_FILE_LIST_LIMIT,
PENDING_RESPONSE_STATUSES,
)
from litellm.files.types import FileRetrieveCallOptions, FileRetrieveProvider
from litellm.integrations.custom_logger import CustomLogger
from litellm.litellm_core_utils.hidden_params import HIDDEN_PARAMS_ATTR
from litellm.litellm_core_utils.internal_call_metadata import requests_background
from litellm.litellm_core_utils.prompt_templates.common_utils import (
extract_file_metadata,
)
from openai import APIConnectionError, AsyncOpenAI
from openai.types.file_deleted import FileDeleted
from litellm.llms.base_llm.files.storage_backend_factory import get_storage_backend
from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
from litellm.llms.base_llm.managed_resources.isolation import (
@ -54,6 +57,7 @@ from litellm.llms.base_llm.managed_resources.isolation import (
can_access_resource,
resolve_resource_owner_id,
)
from litellm.llms.xai.batches.transformation import is_xai_batch_results_id
from litellm.proxy._types import (
CallTypes,
LiteLLM_ManagedFileTable,
@ -87,6 +91,7 @@ from litellm.proxy.pass_through_endpoints.llm_provider_handlers.batch_attributio
request_tags_from_metadata,
)
from litellm.repositories.managed_file_repository import ManagedFileRepository
from litellm.responses.utils import ResponsesAPIRequestUtils
from litellm.types.llms.openai import ( # pyright: ignore[reportAttributeAccessIssue]
AllMessageValues,
AsyncCursorPage,
@ -99,9 +104,11 @@ from litellm.types.llms.openai import ( # pyright: ignore[reportAttributeAccess
ResponsesAPIResponse,
)
from litellm.types.utils import (
ADDRESSED_RESPONSE_ID_FIELD,
CallTypesLiteral,
LiteLLMBatch,
LiteLLMFineTuningJob,
LlmProviders,
LLMResponseTypes,
SpecialEnums,
)
@ -194,6 +201,32 @@ def _is_transient_file_retrieve_error(error: Exception) -> bool:
return isinstance(error, (httpx.TransportError, APIConnectionError, asyncio.TimeoutError))
_MEASURED_SIZE_SAVE_ATTEMPTS: Final = 3
def _stored_json_text(raw_file_object: object) -> str:
"""JSON text of a stored file object exactly as read, for a write that must not race a newer one."""
if isinstance(raw_file_object, BaseModel):
return raw_file_object.model_dump_json()
return json.dumps(raw_file_object)
def _with_measured_size(file_object: OpenAIFileObject, size_bytes: int | None) -> OpenAIFileObject:
"""Fill a file object whose provider reported no size (0 bytes) with a size measured elsewhere."""
if not size_bytes or file_object.bytes:
return file_object
return file_object.model_copy(update={"bytes": size_bytes})
def _over_stored_object(file_object: OpenAIFileObject, stored_object: OpenAIFileObject | None) -> OpenAIFileObject:
"""Refreshed details for a stored row, keeping its size when none is reported and its stored created_at."""
if stored_object is None:
return file_object
return _with_measured_size(file_object, stored_object.bytes).model_copy(
update={"created_at": stored_object.created_at}
)
def _proxy_llm_router() -> Router | None:
import litellm.proxy.proxy_server as proxy_server_module
@ -252,6 +285,23 @@ def _has_provider_file_retrieve_route(
return bool(router_credentials) or _model_name_file_retrieve_provider(model_name) is not None
def _is_xai_batch_output(
*,
llm_router: Router | None,
model_id: str | None,
model_name: str | None,
provider_file_id: str,
) -> bool:
"""Whether a batch output row holds an xAI batch's results, from its batch id and its deployment's provider."""
if not is_xai_batch_results_id(provider_file_id):
return False
router_credentials: Final = _provider_file_retrieve_credentials(llm_router=llm_router, model_id=model_id)
provider: Final = (router_credentials or {}).get("custom_llm_provider") or _model_name_file_retrieve_provider(
model_name
)
return provider == LlmProviders.XAI.value
class _ManagedFileRow(Protocol):
unified_file_id: str
file_object: OpenAIFileObject
@ -301,6 +351,8 @@ class _ManagedObjectTableActions(Protocol):
async def update_many(self, where: Mapping[str, object], data: Mapping[str, object]) -> int: ...
async def create(self, data: Mapping[str, object]) -> "PrismaManagedObjectRow": ...
class _ManagedResourceDatabase(Protocol):
@property
@ -347,6 +399,39 @@ def _managed_object_table(prisma_client: _ManagedResourcePrismaClient) -> _Manag
return prisma_client.db.litellm_managedobjecttable
_JSON_VALUE_ADAPTER: Final[TypeAdapter[JsonValue]] = TypeAdapter(JsonValue)
_POSTGRES_UNSTORABLE_CHARACTER: Final = "\x00"
def _storable_text(text: str) -> str:
return text.replace(_POSTGRES_UNSTORABLE_CHARACTER, "")
def _storable_json_value(value: JsonValue) -> JsonValue:
if isinstance(value, str):
return _storable_text(value)
if isinstance(value, list):
return [_storable_json_value(item) for item in value]
if isinstance(value, dict):
return {_storable_text(key): _storable_json_value(item) for key, item in value.items()}
return value
def postgres_storable_json(file_object: BaseModel) -> str:
dumped: Final = file_object.model_dump_json()
if "\\u0000" not in dumped:
return dumped
return _JSON_VALUE_ADAPTER.dump_json(_storable_json_value(_JSON_VALUE_ADAPTER.validate_json(dumped))).decode()
def _without_model_output(
file_object: LiteLLMBatch | LiteLLMFineTuningJob | ResponsesAPIResponse,
) -> LiteLLMBatch | LiteLLMFineTuningJob | ResponsesAPIResponse:
return (
file_object.model_copy(update={"output": []}) if isinstance(file_object, ResponsesAPIResponse) else file_object
)
def _storage_metadata_of(file_object: OpenAIFileObject | None) -> Mapping[str, str]:
hidden_params: Final = cast( # cast-ok: _hidden_params is an untyped attribute the upload path sets
"Mapping[str, object]", getattr(file_object, "_hidden_params", None) or {}
@ -360,7 +445,48 @@ def _storage_metadata_of(file_object: OpenAIFileObject | None) -> Mapping[str, s
)
_MANAGED_RESPONSE_READ_CALL_TYPES: Final = frozenset({"aget_responses", "acancel_responses"})
_REQUEST_FIELDS: Final = TypeAdapter(dict[str, object])
def _addresses_a_proxy_issued_response(data: Mapping[str, object]) -> bool:
from litellm.proxy.hooks.responses_id_security import decrypted_response_id
addressed_id: Final = data.get(ADDRESSED_RESPONSE_ID_FIELD) or data.get("response_id")
return (
isinstance(addressed_id, str)
and ResponsesAPIRequestUtils.get_model_id_from_response_id(decrypted_response_id(addressed_id)) is not None
)
def _is_streamed_background_create(request: Mapping[str, object]) -> bool:
return (
request.get("stream") is True
and isinstance(request.get("litellm_metadata"), dict)
and requests_background(request)
)
def _with_managed_background_marker(request: Mapping[str, object]) -> dict[str, object]:
metadata_field: Final = "litellm_metadata" if isinstance(request.get("litellm_metadata"), dict) else "metadata"
existing_metadata: Final = request.get(metadata_field)
return {
**request,
metadata_field: {
**(_REQUEST_FIELDS.validate_python(existing_metadata) if isinstance(existing_metadata, dict) else {}),
MANAGED_BACKGROUND_RESPONSE_METADATA_KEY: True,
},
}
_MANAGED_FILES_TARGET: Final = "managed_files"
_PROVIDER_FILE_ID_KWARGS: Final = MappingProxyType(
{
CallTypes.acreate_batch: ("input_file_id",),
CallTypes.acreate_fine_tuning_job: ("training_file", "validation_file"),
}
)
_PROVIDER_FILE_ID_KEYS: Final = tuple(dict.fromkeys(chain.from_iterable(_PROVIDER_FILE_ID_KWARGS.values())))
_PROVIDER_FILE_RETRIEVE_RETRY_DELAYS_SECONDS: Final = (0.5, 1.0, 2.0)
@ -484,11 +610,14 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
) -> None:
"""Persist a managed object row, caching it and upserting it in the DB.
persist_attribution is set only by the batch create, which is the one caller
that can speak for the creator; it gates the api_key and request_tags columns
that CheckBatchCost bills against, so a later poll or retrieve of the same
batch cannot record itself as the paying key. Like created_by and team_id,
both are written only in the upsert create branch, never on update.
persist_attribution is set only by the batch and background response creates,
the callers that can speak for the creator; it gates the api_key, request_tags, and,
for a response, end_user_id columns that the cost poll jobs bill against, so a later poll or
retrieve of the same object cannot record itself as the paying key. Like created_by and team_id,
they are written only in the upsert create branch, never on update.
A stored response keeps no model output: billing reads only its status and model from
the row, so the row never holds generated content.
create_if_missing is cleared by callers that observe a batch they did not
create, such as a poll. They still refresh status and file_object, but a
@ -501,11 +630,12 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
It is written only in the upsert create branch.
"""
verbose_logger.info(f"Storing LiteLLM Managed {file_purpose} object with id={unified_object_id} in cache")
stored_object: Final = _without_model_output(file_object)
litellm_managed_object = LiteLLM_ManagedObjectTable(
unified_object_id=unified_object_id,
model_object_id=model_object_id,
file_purpose=file_purpose,
file_object=file_object,
file_object=stored_object,
)
await self.internal_usage_cache.async_set_cache(
key=unified_object_id,
@ -516,32 +646,35 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
from prisma import Json
api_key = LiteLLMProxyRequestSetup.get_logged_api_key(user_api_key_dict) or None
end_user_id: Final = user_api_key_dict.end_user_id if file_purpose == "response" else None
attribution_columns = (
{
**({"api_key": api_key} if api_key is not None else {}),
**({"request_tags": Json(list(request_tags))} if request_tags else {}),
**({"request_tags": Json([_storable_text(tag) for tag in request_tags])} if request_tags else {}),
**({"end_user_id": end_user_id} if end_user_id else {}),
}
if persist_attribution
else {}
)
# FIX: Update status and file_object on every operation to keep state in sync
update_columns: Final = {
"file_object": file_object.model_dump_json(),
"file_object": postgres_storable_json(stored_object),
"status": file_object.status,
"updated_by": user_api_key_dict.user_id,
}
managed_object_table: Final = _managed_object_table(self.prisma_client)
if not create_if_missing:
await _managed_object_table(self.prisma_client).update_many(
await managed_object_table.update_many(
where={"unified_object_id": unified_object_id},
data=update_columns,
)
return
await _managed_object_table(self.prisma_client).upsert(
await managed_object_table.upsert(
where={"unified_object_id": unified_object_id},
data={
"create": {
"unified_object_id": unified_object_id,
"file_object": file_object.model_dump_json(),
"file_object": postgres_storable_json(stored_object),
"model_object_id": model_object_id,
"file_purpose": file_purpose,
"created_by": resolve_resource_owner_id(user_api_key_dict),
@ -556,6 +689,42 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
},
)
async def track_untracked_background_response(
self,
response_id: str,
response: ResponsesAPIResponse,
user_api_key_dict: UserAPIKeyAuth,
request_tags: Sequence[str] | None = None,
) -> bool:
if not _addresses_a_proxy_issued_response({"response_id": response_id}):
return False
from prisma import Json
from prisma.errors import UniqueViolationError
from litellm.proxy.hooks.responses_id_security import decrypted_response_id
api_key: Final = LiteLLMProxyRequestSetup.get_logged_api_key(user_api_key_dict) or None
try:
await _managed_object_table(self.prisma_client).create(
data={
"unified_object_id": response_id,
"model_object_id": decrypted_response_id(response_id),
"file_purpose": "response",
"file_object": postgres_storable_json(_without_model_output(response)),
"status": PENDING_RESPONSE_STATUSES[0],
"created_by": resolve_resource_owner_id(user_api_key_dict),
"team_id": user_api_key_dict.team_id,
"org_id": await self._resolve_creator_org_id(user_api_key_dict),
"updated_by": user_api_key_dict.user_id,
**({"api_key": api_key} if api_key is not None else {}),
**({"end_user_id": user_api_key_dict.end_user_id} if user_api_key_dict.end_user_id else {}),
**({"request_tags": Json([_storable_text(tag) for tag in request_tags])} if request_tags else {}),
}
)
except UniqueViolationError:
return False
return True
@with_service_target(_MANAGED_FILES_TARGET)
async def get_unified_file_id(
self, file_id: str, litellm_parent_otel_span: Optional[Span] = None
@ -845,6 +1014,57 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
litellm_parent_otel_span=None,
)
async def _save_xai_refreshed_file_object(
self,
stored: LiteLLM_ManagedFileTable,
file_object: OpenAIFileObject,
) -> OpenAIFileObject | None:
"""Save an xAI batch output's refreshed details, keeping a known size, only over the row as read; drop the cached copy if a newer write won."""
stored_object: Final = _parse_managed_file_object(stored.file_object, stored.unified_file_id)
sized_file_object: Final = _over_stored_object(file_object, stored_object)
if not await ManagedFileRepository(self.prisma_client).update_file_object(
stored.unified_file_id,
sized_file_object,
if_file_object=_stored_json_text(stored.file_object) if stored.file_object is not None else None,
):
await self.internal_usage_cache.async_set_cache(
key=stored.unified_file_id, value=None, litellm_parent_otel_span=None
)
return None
await self.internal_usage_cache.async_set_cache(
key=stored.unified_file_id,
value=stored.model_copy(update={"file_object": sized_file_object}).model_dump(),
litellm_parent_otel_span=None,
)
return sized_file_object
async def _save_batch_output_file_object(
self,
stored: LiteLLM_ManagedFileTable,
file_object: OpenAIFileObject,
size_bytes: int | None,
) -> None:
"""Save an xAI batch output's details; after losing to a refresh, size the refreshed details instead of replacing them."""
current_row: LiteLLM_ManagedFileTable | None = stored # rebind-ok: the row as last read
details: OpenAIFileObject = file_object # rebind-ok: a concurrent refresh's details replace the job's copy
for _ in range(_MEASURED_SIZE_SAVE_ATTEMPTS):
if current_row is None:
return
saved = await self._save_xai_refreshed_file_object( # rebind-ok: per attempt
current_row, _with_measured_size(details, size_bytes)
)
if saved is not None or not size_bytes:
return
latest_row = await ManagedFileRepository( # rebind-ok: per attempt
self.prisma_client, use_writer=True
).table.find_first(where={"unified_file_id": stored.unified_file_id})
current_row = (
None if latest_row is None else LiteLLM_ManagedFileTable.model_validate(latest_row.model_dump())
)
latest_object = None if current_row is None else current_row.file_object # rebind-ok: per attempt
if latest_object is not None and not latest_object.litellm_details_fallback:
details = latest_object
async def store_batch_output_file(
self,
*,
@ -885,6 +1105,18 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
return
if stored_object is not None and not stored_object.litellm_details_fallback:
if (
stored_file is not None
and size_bytes
and not stored_object.bytes
and _is_xai_batch_output(
llm_router=_proxy_llm_router(),
model_id=model_id,
model_name=model_name,
provider_file_id=provider_file_id,
)
):
await self._save_batch_output_file_object(stored_file, stored_object, size_bytes)
return
fallback_written_recently: Final = (
@ -924,13 +1156,22 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
)
xai_batch_output: Final = _is_xai_batch_output(
llm_router=_proxy_llm_router(),
model_id=model_id,
model_name=model_name,
provider_file_id=provider_file_id,
)
if stored_file is not None and xai_batch_output:
await self._save_batch_output_file_object(stored_file, file_object, size_bytes)
return
if stored_file is not None:
await self._save_refreshed_file_object(stored_file, file_object)
return
await self.store_unified_file_id(
file_id=unified_file_id,
file_object=file_object,
file_object=_with_measured_size(file_object, size_bytes) if xai_batch_output else file_object,
litellm_parent_otel_span=litellm_parent_otel_span,
model_mappings={model_id: provider_file_id} if model_id else {},
user_api_key_dict=owner,
@ -1162,7 +1403,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
return False
async def check_file_ids_access(self, file_ids: List[str], user_api_key_dict: UserAPIKeyAuth) -> None:
async def check_file_ids_access(self, file_ids: Sequence[str], user_api_key_dict: UserAPIKeyAuth) -> None:
"""
Check if the user has access to a list of file IDs.
Only checks managed (unified) file IDs.
@ -1258,6 +1499,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
unified_vs_ids = self.get_vector_store_ids_from_file_search_tools(tools)
if unified_vs_ids:
await self.check_vector_store_ids_access(unified_vs_ids, user_api_key_dict)
create_request: Final = _REQUEST_FIELDS.validate_python(data)
if _is_streamed_background_create(create_request):
return _with_managed_background_marker(create_request)
elif call_type == CallTypes.afile_content.value:
retrieve_file_id = cast(Optional[str], data.get("file_id"))
potential_file_id = _is_base64_encoded_unified_file_id(retrieve_file_id) if retrieve_file_id else False
@ -1269,6 +1513,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
elif call_type == CallTypes.acreate_batch.value:
input_file_id = cast(Optional[str], data.get("input_file_id"))
if input_file_id:
await self.check_file_ids_access((input_file_id,), user_api_key_dict)
model_file_id_mapping = await self.get_model_file_id_mapping(
[input_file_id], user_api_key_dict.parent_otel_span
)
@ -1314,11 +1559,20 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
data[accessor_key] = get_batch_id_from_unified_batch_id(potential_llm_object_id)
elif retrieve_object_id and accessor_key == "batch_id":
await self.enforce_batch_object_access(retrieve_object_id, user_api_key_dict)
elif call_type in _MANAGED_RESPONSE_READ_CALL_TYPES:
request: Final = _REQUEST_FIELDS.validate_python(data)
if _addresses_a_proxy_issued_response(request):
return _with_managed_background_marker(request)
elif call_type == CallTypes.acreate_fine_tuning_job.value:
input_file_id = cast(Optional[str], data.get("training_file"))
if input_file_id:
model_file_id_mapping = await self.get_model_file_id_mapping(
[input_file_id], user_api_key_dict.parent_otel_span
fine_tuning_file_ids: Final = tuple(
file_id
for file_id in (data.get("training_file"), data.get("validation_file"))
if isinstance(file_id, str) and file_id
)
await self.check_file_ids_access(fine_tuning_file_ids, user_api_key_dict)
if fine_tuning_file_ids:
data["model_file_id_mapping"] = await self.get_model_file_id_mapping(
fine_tuning_file_ids, user_api_key_dict.parent_otel_span
)
return data
@ -1334,24 +1588,27 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
if request_kwargs is None:
return healthy_deployments
input_file_id = cast(Optional[str], request_kwargs.get("input_file_id"))
model_file_id_mapping = cast(
Optional[Dict[str, Dict[str, str]]],
request_kwargs.get("model_file_id_mapping"),
request: Final = cast(Mapping[str, object], request_kwargs)
model_file_id_mapping: Final = cast(Mapping[str, Mapping[str, str]], request.get("model_file_id_mapping") or {})
requested_file_ids: Final = (request.get(key) for key in _PROVIDER_FILE_ID_KEYS)
model_ids_per_file: Final = tuple(
frozenset(model_file_id_mapping[file_id])
for file_id in requested_file_ids
if isinstance(file_id, str) and file_id in model_file_id_mapping
)
allowed_model_ids: Final[frozenset[str]] = (
model_ids_per_file[0].intersection(*model_ids_per_file[1:]) if model_ids_per_file else frozenset()
)
allowed_model_ids = []
if input_file_id and model_file_id_mapping:
model_id_dict = model_file_id_mapping.get(input_file_id, {})
allowed_model_ids = list(model_id_dict.keys())
if len(allowed_model_ids) == 0:
return healthy_deployments
return [
holders: Final[list[dict[str, object]]] = [
deployment
for deployment in healthy_deployments
if deployment.get("model_info", {}).get("id") in allowed_model_ids
]
return holders if holders or "input_file_id" in request else healthy_deployments
async def async_pre_call_deployment_hook(
self, kwargs: Dict[str, Any], call_type: Optional[CallTypes]
@ -1359,25 +1616,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
"""
Allow modifying the request just before it's sent to the deployment.
"""
accessor_key: Optional[str] = None
if call_type and call_type == CallTypes.acreate_batch:
accessor_key = "input_file_id"
elif call_type and call_type == CallTypes.acreate_fine_tuning_job:
accessor_key = "training_file"
else:
accessor_keys: Final = _PROVIDER_FILE_ID_KWARGS.get(call_type) if call_type else None
if accessor_keys is None:
return kwargs
if accessor_key:
model_file_id_mapping = cast(Optional[Dict[str, Dict[str, str]]], kwargs.get("model_file_id_mapping"))
# model_info may be at top-level or nested under litellm_metadata
# (batch/file operations use litellm_metadata)
model_id = cast(Optional[str], kwargs.get("model_info", {}).get("id", None))
if model_id is None:
model_id = cast(
Optional[str],
kwargs.get("litellm_metadata", {}).get("model_info", {}).get("id", None),
)
for accessor_key in accessor_keys:
input_file_id = cast(Optional[str], kwargs.get(accessor_key))
model_file_id_mapping = cast(Optional[Dict[str, Dict[str, str]]], kwargs.get("model_file_id_mapping"))
# model_info may be at top-level or nested under litellm_metadata
# (batch/file operations use litellm_metadata)
model_id = cast(Optional[str], kwargs.get("model_info", {}).get("id", None))
if model_id is None:
model_id = cast(
Optional[str],
kwargs.get("litellm_metadata", {}).get("model_info", {}).get("id", None),
)
mapped_file_id: Optional[str] = None
if input_file_id and model_file_id_mapping and model_id:
mapped_file_id = model_file_id_mapping.get(input_file_id, {}).get(model_id, None)
@ -1571,7 +1824,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
),
)
async def get_model_file_id_mapping(self, file_ids: List[str], litellm_parent_otel_span: Span) -> dict:
async def get_model_file_id_mapping(self, file_ids: Sequence[str], litellm_parent_otel_span: Span) -> dict:
"""
Get model-specific file IDs for a list of proxy file IDs.
Returns a dictionary mapping litellm_proxy/ file_id -> model_id -> model_file_id
@ -1941,8 +2194,20 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
)
if refreshed_file_object is None:
return _public_file_object(file_object, file_id)
await self._save_refreshed_file_object(stored_file_object, refreshed_file_object)
return _public_file_object(refreshed_file_object, file_id)
if not _is_xai_batch_output(
llm_router=llm_router if llm_router is not None else _proxy_llm_router(),
model_id=model_id,
model_name=model_id,
provider_file_id=provider_file_id,
):
await self._save_refreshed_file_object(stored_file_object, refreshed_file_object)
return _public_file_object(refreshed_file_object, file_id)
saved_file_object: Final = await self._save_xai_refreshed_file_object(
stored_file_object, refreshed_file_object
)
return _public_file_object(
saved_file_object or _over_stored_object(refreshed_file_object, file_object), file_id
)
except Exception as error:
verbose_logger.warning(
"Failed to refresh batch file object for "

View file

@ -12,7 +12,7 @@ Endpoints for /project operations
import json
from collections.abc import Mapping, Sequence
from typing import TYPE_CHECKING, Final
from typing import TYPE_CHECKING, Final, cast
from fastapi import APIRouter, Depends, HTTPException, Request
from pydantic import TypeAdapter
@ -31,6 +31,7 @@ from litellm.proxy.management_helpers.utils import (
management_endpoint_wrapper,
)
from litellm.proxy.utils import PrismaClient, handle_exception_on_proxy
from litellm.repositories.base_repository import record_to_dict
from litellm.repositories.budget_repository import BudgetRepository
from litellm.repositories.object_permission_repository import ObjectPermissionRepository
from litellm.repositories.prisma_protocols import TableActions
@ -57,6 +58,15 @@ def _project_table(prisma_client: PrismaClient) -> TableActions["prisma_models.L
return ProjectRepository(prisma_client).table
def _writer_project_table(
prisma_client: PrismaClient,
) -> TableActions["prisma_models.LiteLLM_ProjectTable"]:
return cast( # cast-ok: writer_db exposes generated Prisma tables through a dynamic wrapper
"TableActions[prisma_models.LiteLLM_ProjectTable]",
prisma_client.writer_db.litellm_projecttable,
)
def _verification_token_table(
prisma_client: PrismaClient,
) -> TableActions["prisma_models.LiteLLM_VerificationToken"]:
@ -824,6 +834,38 @@ async def update_project(
**({"max_budget": None} if "max_budget" in data.model_fields_set and data.max_budget is None else {}),
}
object_permission_data: Final = update_data.pop("object_permission", None)
object_permission_payload: Final = (
_OBJECT_PERMISSION_PAYLOAD.validate_python(object_permission_data) if object_permission_data else None
)
if data.team_id is not None:
current_project_record: Final = await _writer_project_table(prisma_client).find_unique(
where={"project_id": data.project_id}
)
current_project: Final = (
LiteLLM_ProjectTable.model_validate(record_to_dict(current_project_record))
if current_project_record is not None
else None
)
if current_project is not None and data.team_id != current_project.team_id:
mismatched_key_count: Final = await prisma_client.writer_db.litellm_verificationtoken.count(
where={
"project_id": data.project_id,
"OR": [{"team_id": {"not": data.team_id}}, {"team_id": None}],
}
)
if mismatched_key_count > 0:
raise ProxyException(
message=(
f"Project {data.project_id} has {mismatched_key_count} key(s) that do not belong to "
f"team {data.team_id}. Detach or delete them before moving the project."
),
type="bad_request",
code=400,
param="team_id",
)
if budget_updates and existing_project.budget_id:
# Update existing budget
await _budget_table(prisma_client).update(
@ -837,23 +879,17 @@ async def update_project(
for field in budget_updates.keys():
update_data.pop(field, None)
# Handle object permissions
if "object_permission" in update_data:
object_permission_data = update_data.pop("object_permission")
if object_permission_data:
object_permission_payload: Final = _OBJECT_PERMISSION_PAYLOAD.validate_python(object_permission_data)
if existing_project.object_permission_id:
# Update existing permission
await _object_permission_table(prisma_client).update(
where={"object_permission_id": existing_project.object_permission_id},
data=object_permission_payload,
)
else:
# Create new permission
created_permission: Final = await _object_permission_table(prisma_client).create(
data=object_permission_payload,
)
update_data["object_permission_id"] = created_permission.object_permission_id
if object_permission_payload is not None:
if existing_project.object_permission_id:
await _object_permission_table(prisma_client).update(
where={"object_permission_id": existing_project.object_permission_id},
data=object_permission_payload,
)
else:
created_permission: Final = await _object_permission_table(prisma_client).create(
data=object_permission_payload,
)
update_data["object_permission_id"] = created_permission.object_permission_id
# Handle metadata fields
for field in LiteLLM_ManagementEndpoint_MetadataFields:

View file

@ -1,6 +1,6 @@
[project]
name = "litellm-enterprise"
version = "0.1.76"
version = "0.1.78"
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 = "0.1.76"
version = "0.1.78"
version_files = [
"pyproject.toml:^version",
"../pyproject.toml:litellm-enterprise==",

View file

@ -20,6 +20,33 @@ RUN curl -fsSL -o pgbouncer.tar.gz "https://www.pgbouncer.org/downloads/files/${
make -j"$(nproc)" pgbouncer && \
install -m 0755 pgbouncer /usr/local/bin/pgbouncer
# ---------- Rust extension ----------
# Copies only the native build's inputs, so the fat-LTO compile stays cached across Python-only changes
FROM $LITELLM_BUILD_IMAGE AS rust-native
WORKDIR /app
USER root
COPY --from=uvbin /uv /uvx /usr/local/bin/
RUN for i in 1 2 3; do \
apk add --no-cache bash gcc python-3.13 python-3.13-dev openssl openssl-dev && break; \
[ $i = 3 ] && { echo "apk add failed after 3 retries" >&2; exit 1; }; \
sleep 5; \
done
ENV UV_PYTHON_DOWNLOADS=0
COPY pyproject.toml README.md rust-toolchain.toml ./
COPY .cargo ./.cargo
COPY litellm-rust ./litellm-rust
RUN --mount=type=cache,target=/root/.cache/uv \
mkdir -p litellm/rust_bridge /wheels && \
touch litellm/__init__.py litellm/rust_bridge/__init__.py && \
uvx --python python3.13 --from maturin==1.15.0 --with puccinialin==0.1.14 \
python -c "import maturin; maturin.build_wheel('/wheels')"
# ---------- Builder ----------
FROM $LITELLM_BUILD_IMAGE AS builder
@ -66,11 +93,11 @@ RUN --mount=type=cache,target=/root/.cache/uv \
--extra bedrock-realtime \
--python python3.13
# Stage 2 — copy source and install the project + workspace members.
# Stage 2 — copy source and install the workspace members.
COPY . .
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-default-groups --no-editable \
uv sync --frozen --no-install-project --no-default-groups --no-editable \
--extra proxy \
--extra proxy-runtime \
--group admin-mcp \
@ -79,6 +106,9 @@ RUN --mount=type=cache,target=/root/.cache/uv \
--extra bedrock-realtime \
--python python3.13
RUN --mount=type=bind,from=rust-native,source=/wheels,target=/wheels \
uv pip install --python /app/.venv/bin/python --no-deps /wheels/litellm-*.whl
# PYTHONPATH=/app makes the source tree shadow the installed package, so the
# compiled Rust extension must live next to the source or it is never imported.
RUN cp "$(python -c 'import sysconfig; print(sysconfig.get_paths()["purelib"])')"/litellm/rust_bridge/_native*.so litellm/rust_bridge/

View file

@ -121,6 +121,8 @@ GATEWAY_PATH_PREFIXES: tuple[str, ...] = (
# Realtime / streaming
"/v1/realtime",
"/realtime",
"/v1/live/sessions",
"/live/sessions",
# Health & ops
"/health",
"/metrics",

View file

@ -70,11 +70,18 @@ proxyConfigMap:
proxy_config:
general_settings:
master_key: os.environ/PROXY_MASTER_KEY
model_list: []
```
The chart ships no models, so add them under `proxy_config.model_list` or from the Admin UI with `store_model_in_db: true`
```
proxy_config:
model_list:
- model_name: gpt-3.5-turbo
- model_name: gpt-5.6
litellm_params:
model: gpt-3.5-turbo
api_key: eXaMpLeOnLy
model: openai/gpt-5.6
api_key: os.environ/OPENAI_API_KEY
```
#### Example using existing `proxyConfigMap` instead of creating it:
@ -126,6 +133,11 @@ Set `billingMetrics.caSecretName` only when the collector is a private or test o
| `db.secret.name` | If `db.useExisting` is `true`, the name of the Kubernetes Secret that contains credentials. | `postgres` |
| `db.secret.usernameKey` | If `db.useExisting` is `true`, the name of the key within the Kubernetes Secret that holds the username for authenticating with the Postgres instance. | `username` |
| `db.secret.passwordKey` | If `db.useExisting` is `true`, the name of the key within the Kubernetes Secret that holds the password associates with the above user. | `password` |
| `db.username` | If `db.useExisting` is `true`, the database user as a plain value. When set, `db.secret.usernameKey` is not read. | `""` |
| `db.port` | If `db.useExisting` is `true` with token auth, the Postgres port used to build the connection URL. Password auth takes the port from `db.url`. | `5432` |
| `db.schema` | With token auth, the Postgres schema holding the LiteLLM tables, rendered as `DATABASE_SCHEMA` when the tables are not in `public`. Ignored with password auth, where the schema stays in `db.url` as `?schema=`. | `""` |
| `db.useIAMAuth` | If `db.useExisting` is `true` and `db.deployStandalone` is `false`, authenticate with an AWS RDS IAM token instead of a password. See [Token auth](#token-auth-to-an-existing-postgres-rds-iam-or-microsoft-entra-id). | `false` |
| `db.useAzureEntraAuth` | If `db.useExisting` is `true` and `db.deployStandalone` is `false`, authenticate with a Microsoft Entra ID token instead of a password. Mutually exclusive with `db.useIAMAuth`. | `false` |
| `db.useStackgresOperator` | Not yet implemented. | `false` |
| `db.deployStandalone` | Deploy a standalone, single instance deployment of Postgres, using the Bitnami postgresql chart. This is useful for getting started but doesn't provide HA or (by default) data backups. | `true` |
| `postgresql.*` | If `db.deployStandalone` is `true`, configuration passed to the Bitnami postgresql chart. See the [Bitnami Documentation](https://github.com/bitnami/charts/tree/main/bitnami/postgresql) for full configuration details. See [values.yaml](./values.yaml) for the default configuration. | See [values.yaml](./values.yaml) |
@ -156,6 +168,22 @@ data:
type: Opaque
```
#### Token auth to an existing Postgres (RDS IAM or Microsoft Entra ID)
When the database accepts short-lived tokens instead of a password (AWS RDS or Aurora with IAM database authentication, or Azure Database for PostgreSQL with Microsoft Entra ID), there is no password to put in a Secret. Turn on `db.useIAMAuth` or `db.useAzureEntraAuth` and the chart stops referencing `db.secret.passwordKey` and `db.url`. It sets `IAM_TOKEN_DB_AUTH` (or `AZURE_POSTGRESQL_AUTH`) and emits `DATABASE_HOST`, `DATABASE_PORT`, `DATABASE_USERNAME` and `DATABASE_NAME` for the proxy, the migrations job and the collector sidecar. Each of them mints its own token at startup and builds `DATABASE_URL` from those parts, and the in-container pgbouncer (`db.connectionPool`) refreshes the token before it expires.
```yaml
db:
useExisting: true
deployStandalone: false
useIAMAuth: true
endpoint: litellm.cluster-abc123.us-west-1.rds.amazonaws.com
database: litellm
username: litellm_iam # the role granted rds_iam; no db.secret needed
```
The pod needs cloud credentials for the token: on EKS use IRSA or Pod Identity on the chart's `serviceAccount` (and `migrationJob.serviceAccountName` when the Helm hook runs before the ServiceAccount exists), on AKS use workload identity. Set `AWS_RDS_REGION` under `envVars` when the RDS hostname is not a standard regional endpoint (the token must be signed for the region the database lives in). TLS options that would otherwise go in `db.url` are set as `DATABASE_SSLMODE` and `DATABASE_SSLROOTCERT` under `envVars`. Leaving `db.username` empty reads the user from `db.secret.usernameKey` as before.
#### Examples for `environmentSecrets` and `environemntConfigMaps`
```yaml

View file

@ -162,6 +162,77 @@ taken before the change, which by that point no longer exists.
{{- end -}}
{{- end -}}
{{/*
Whether the existing Postgres is reached with a short-lived token (AWS RDS IAM
or Microsoft Entra ID) instead of a password.
*/}}
{{- define "litellm.db.tokenAuth" -}}
{{- if or .Values.db.useIAMAuth .Values.db.useAzureEntraAuth -}}true{{- end -}}
{{- end -}}
{{- define "litellm.validateDbTokenAuth" -}}
{{- if and .Values.db.useIAMAuth .Values.db.useAzureEntraAuth -}}
{{- fail "db.useIAMAuth and db.useAzureEntraAuth are mutually exclusive: the database password can only come from one token source" -}}
{{- end -}}
{{- if and (include "litellm.db.tokenAuth" .) (or (not .Values.db.useExisting) .Values.db.deployStandalone) -}}
{{- fail "db.useIAMAuth and db.useAzureEntraAuth need db.useExisting: true and db.deployStandalone: false (token auth targets an existing RDS or Azure Database for PostgreSQL; the bundled postgresql subchart only supports password auth)" -}}
{{- end -}}
{{- end -}}
{{/*
Database env for an existing Postgres, shared by the proxy container, the
collector sidecar and the migrations Job. Under token auth every entrypoint
mints its own token and assembles DATABASE_URL itself, so db.url is left out.
*/}}
{{- define "litellm.existingDbEnv" -}}
{{- $tokenAuth := include "litellm.db.tokenAuth" . -}}
- name: DATABASE_USERNAME
{{- if .Values.db.username }}
value: {{ .Values.db.username | quote }}
{{- else }}
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.usernameKey }}
{{- end }}
{{- if .Values.db.useIAMAuth }}
- name: IAM_TOKEN_DB_AUTH
value: "true"
{{- else if .Values.db.useAzureEntraAuth }}
- name: AZURE_POSTGRESQL_AUTH
value: "true"
{{- else }}
- name: DATABASE_PASSWORD
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.passwordKey }}
{{- end }}
- name: DATABASE_HOST
{{- if .Values.db.secret.endpointKey }}
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.endpointKey }}
{{- else }}
value: {{ .Values.db.endpoint }}
{{- end }}
{{- if $tokenAuth }}
- name: DATABASE_PORT
value: {{ .Values.db.port | quote }}
{{- end }}
- name: DATABASE_NAME
value: {{ .Values.db.database }}
{{- if and $tokenAuth .Values.db.schema }}
- name: DATABASE_SCHEMA
value: {{ .Values.db.schema | quote }}
{{- end }}
{{- if not $tokenAuth }}
- name: DATABASE_URL
value: {{ .Values.db.url | quote }}
{{- end }}
{{- end -}}
{{/*
Environment shared by the proxy container and the opt-in collector sidecar:
database, pgbouncer, master key, redis, user envVars. Both containers must see
@ -169,6 +240,7 @@ the same DATABASE_URL and REDIS_* so the sidecar reaches the pod's pgbouncer
and the same spend transaction buffer.
*/}}
{{- define "litellm.proxyEnv" -}}
{{- include "litellm.validateDbTokenAuth" . -}}
- name: HOST
value: "{{ .Values.listen | default "0.0.0.0" }}"
- name: PORT
@ -189,29 +261,7 @@ and the same spend transaction buffer.
- name: DATABASE_NAME
value: litellm
{{- else if .Values.db.useExisting }}
- name: DATABASE_USERNAME
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.usernameKey }}
- name: DATABASE_PASSWORD
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.passwordKey }}
- name: DATABASE_HOST
{{- if .Values.db.secret.endpointKey }}
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.endpointKey }}
{{- else }}
value: {{ .Values.db.endpoint }}
{{- end }}
- name: DATABASE_NAME
value: {{ .Values.db.database }}
- name: DATABASE_URL
value: {{ .Values.db.url | quote }}
{{ include "litellm.existingDbEnv" . }}
{{- end }}
{{- if and .Values.db.useExisting .Values.db.readReplicaUrl .Values.db.secret.readReplicaEndpointKey (not .Values.db.secret.readReplicaUrlKey) }}
- name: DATABASE_READER_HOST

View file

@ -68,30 +68,9 @@ spec:
{{- end }}
workingDir: "/app"
env:
{{- include "litellm.validateDbTokenAuth" . -}}
{{- if .Values.db.useExisting }}
- name: DATABASE_USERNAME
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.usernameKey }}
- name: DATABASE_PASSWORD
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.passwordKey }}
- name: DATABASE_HOST
{{- if .Values.db.secret.endpointKey }}
valueFrom:
secretKeyRef:
name: {{ .Values.db.secret.name }}
key: {{ .Values.db.secret.endpointKey }}
{{- else }}
value: {{ .Values.db.endpoint }}
{{- end }}
- name: DATABASE_NAME
value: {{ .Values.db.database }}
- name: DATABASE_URL
value: {{ .Values.db.url | quote }}
{{- include "litellm.existingDbEnv" . | nindent 12 }}
{{- else if .Values.db.deployStandalone }}
- name: DATABASE_URL
value: postgresql://{{ .Values.postgresql.auth.username }}:{{ .Values.postgresql.auth.password }}@{{ .Release.Name }}-postgresql/{{ .Values.postgresql.auth.database }}

View file

@ -0,0 +1,288 @@
suite: test existing database token auth
templates:
- deployment.yaml
- migrations-job.yaml
- configmap-litellm.yaml
tests:
- it: should keep password auth from the secret when no token auth is set
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_USERNAME
valueFrom:
secretKeyRef:
name: postgres
key: username
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PASSWORD
valueFrom:
secretKeyRef:
name: postgres
key: password
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_URL
value: postgresql://$(DATABASE_USERNAME):$(DATABASE_PASSWORD)@$(DATABASE_HOST)/$(DATABASE_NAME)
- notContains:
path: spec.template.spec.containers[0].env
content:
name: IAM_TOKEN_DB_AUTH
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: AZURE_POSTGRESQL_AUTH
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PORT
any: true
- it: should render RDS IAM auth without a password secret on the proxy and the collector sidecar
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
db.username: litellm_iam
db.endpoint: writer.cluster-abc.us-west-1.rds.amazonaws.com
db.port: 5433
collector.enabled: true
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: IAM_TOKEN_DB_AUTH
value: "true"
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_USERNAME
value: litellm_iam
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_HOST
value: writer.cluster-abc.us-west-1.rds.amazonaws.com
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PORT
value: "5433"
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_NAME
value: litellm
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PASSWORD
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_URL
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: AZURE_POSTGRESQL_AUTH
any: true
- contains:
path: spec.template.spec.containers[1].env
content:
name: IAM_TOKEN_DB_AUTH
value: "true"
- notContains:
path: spec.template.spec.containers[1].env
content:
name: DATABASE_PASSWORD
any: true
- it: should give the migrations job the same token auth env as the proxy
template: migrations-job.yaml
set:
migrationJob.enabled: true
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
db.username: litellm_iam
db.endpoint: writer.cluster-abc.us-west-1.rds.amazonaws.com
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: IAM_TOKEN_DB_AUTH
value: "true"
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_USERNAME
value: litellm_iam
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_HOST
value: writer.cluster-abc.us-west-1.rds.amazonaws.com
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PORT
value: "5432"
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PASSWORD
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_URL
any: true
- it: should carry db.schema as DATABASE_SCHEMA under token auth and omit it when empty
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
db.username: litellm_iam
db.schema: tenant1
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_SCHEMA
value: tenant1
- it: should leave the schema to db.url under password auth even when db.schema is set
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.schema: tenant1
db.url: postgresql://$(DATABASE_USERNAME):$(DATABASE_PASSWORD)@$(DATABASE_HOST)/$(DATABASE_NAME)?schema=tenant1
asserts:
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_SCHEMA
any: true
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_URL
value: postgresql://$(DATABASE_USERNAME):$(DATABASE_PASSWORD)@$(DATABASE_HOST)/$(DATABASE_NAME)?schema=tenant1
- it: should not emit DATABASE_SCHEMA when db.schema is empty
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
asserts:
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_SCHEMA
any: true
- it: should read the user from the secret when db.username is empty under token auth
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
db.secret.name: rds-identity
db.secret.usernameKey: user
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_USERNAME
valueFrom:
secretKeyRef:
name: rds-identity
key: user
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PASSWORD
any: true
- it: should render Entra auth with AZURE_POSTGRESQL_AUTH and no password
template: deployment.yaml
set:
db.useExisting: true
db.deployStandalone: false
db.useAzureEntraAuth: true
db.username: litellm@example.onmicrosoft.com
db.endpoint: litellm.postgres.database.azure.com
asserts:
- contains:
path: spec.template.spec.containers[0].env
content:
name: AZURE_POSTGRESQL_AUTH
value: "true"
- contains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_USERNAME
value: litellm@example.onmicrosoft.com
- notContains:
path: spec.template.spec.containers[0].env
content:
name: IAM_TOKEN_DB_AUTH
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_PASSWORD
any: true
- notContains:
path: spec.template.spec.containers[0].env
content:
name: DATABASE_URL
any: true
- it: should fail when both token sources are enabled
template: deployment.yaml
set:
migrationJob.enabled: false
db.useExisting: true
db.deployStandalone: false
db.useIAMAuth: true
db.useAzureEntraAuth: true
asserts:
- failedTemplate:
errorMessage: "db.useIAMAuth and db.useAzureEntraAuth are mutually exclusive: the database password can only come from one token source"
- it: should fail when token auth is set while the bundled postgres is still deployed
template: deployment.yaml
set:
migrationJob.enabled: false
db.useExisting: true
db.useIAMAuth: true
asserts:
- failedTemplate:
errorPattern: "need db.useExisting: true and db.deployStandalone: false"
- it: should fail when token auth is set without useExisting
template: migrations-job.yaml
set:
migrationJob.enabled: true
db.deployStandalone: false
db.useAzureEntraAuth: true
asserts:
- failedTemplate:
errorPattern: "need db.useExisting: true and db.deployStandalone: false"

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