Merge remote-tracking branch 'origin/main' into litellm_team_list_member_budget

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

# Conflicts:
#	tests/integration/management/test_team_list_v2.py
This commit is contained in:
jesus 2026-10-12 16:55:31 +00:00
commit 492cd907df
996 changed files with 34029 additions and 59104 deletions

File diff suppressed because it is too large Load diff

View file

@ -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 "$file" in
litellm/_redis.py | litellm/_redis_credential_provider.py | litellm/caching/redis_cache.py | litellm/caching/evicted_client_closer.py | tests/unit/test_redis.py | tests/integration/sdk/test_redis_cluster_iam_auth.py | tests/unit/caching/test_redis_connection_pool.py | tests/unit/caching/test_redis_cluster_cache.py | tests/unit/caching/test_evicted_client_closer.py | .circleci/config.yml | .circleci/scripts/classify_changes.sh | .circleci/scripts/path_filter.sh | pyproject.toml | uv.lock)
litellm/_redis.py | litellm/_redis_credential_provider.py | litellm/caching/redis_cache.py | litellm/caching/evicted_client_closer.py | tests/unit/test_redis.py | tests/integration/sdk/test_redis_cluster_iam_auth.py | tests/unit/caching/test_redis_connection_pool.py | tests/unit/caching/test_redis_cluster_cache.py | tests/unit/caching/test_evicted_client_closer.py | .github/workflows/test-unit.yml | .github/actions/detect-changes/* | .github/scripts/detect_changes.sh | .circleci/scripts/classify_changes.sh | tests/integration/run.py | pyproject.toml | uv.lock)
has_redis_compat=true ;;
esac
case "$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
;;

View file

@ -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() {

View file

@ -128,9 +128,14 @@ 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 [ "$suite" = cost ]; then
export INTEGRATION_WORKERS=8
fi
@ -138,7 +143,16 @@ if [ "$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/$results/coverage/data"
proxy_command=(.venv/bin/python -m integration._support.proxy)
@ -180,17 +194,19 @@ start_proxy() {
> "$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 ]; 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
@ -223,13 +239,24 @@ if [ "${CIRCLE_NODE_TOTAL:-1}" -gt 1 ]; then
shard_arguments=(--shard-files "$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="$INTEGRATION_ORDER_SEED" \
@ -238,6 +265,7 @@ env -i PATH="$PATH" HOME="$HOME" PYTHONPATH="$PYTHONPATH" \
INTEGRATION_PROXY_DATABASE_URL="$INTEGRATION_PROXY_DATABASE_URL" \
INTEGRATION_PROXY_READ_REPLICA_URL="$INTEGRATION_PROXY_READ_REPLICA_URL" \
INTEGRATION_ROUTING="$INTEGRATION_ROUTING" \
MCP_TEST_PEER_PYTHON="${MCP_TEST_PEER_PYTHON:-}" \
.venv/bin/python tests/integration/run.py "$suite" --results "$results" \
"${shard_arguments[@]}"

View file

@ -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__":

View file

@ -18,17 +18,11 @@ test_paths:
paths:
- tests/rust-python-harness
- reason: >-
Live-provider caching cases in tests/local_testing that remain outside CI. No CircleCI job
globs that directory anymore, and the legacy jobs that did always deselected these files.
The two Redis Cluster IAM authentication tests moved to tests/integration/sdk and remain
selected by node ID in redis_compat, where redis-server is installed.
The five keyless files now run in the caching-local shard, leaving live cases in these two.
Measured 2026-08-21 with no provider credentials: test_disk_cache_unit_tests.py needs
OPENAI_API_KEY for 2 of its 4 tests, and test_gcs_cache_unit_tests.py needs GCS credentials
for all 4. Keep these live cases outside PR CI rather than making a job 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_disk_cache_unit_tests.py
- tests/local_testing/test_gcs_cache_unit_tests.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
@ -54,48 +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

@ -37,7 +37,6 @@ GLOB_CHARS = frozenset("*?")
# 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",

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

@ -22,6 +22,16 @@ jobs:
actions: read
runs-on: ubuntu-latest
timeout-minutes: 15
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:
@ -189,8 +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
@ -198,6 +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'

View file

@ -234,7 +234,30 @@ jobs:
exit 1
- name: Run the startup tests
run: .venv/bin/python -m pytest --tb=short -vv tests/basic_proxy_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()

View file

@ -18,7 +18,6 @@ on:
- "litellm/ocr/**"
- "litellm/llms/base_llm/ocr/**"
- "litellm/llms/custom_httpx/llm_http_handler.py"
- "tests/test_litellm/conftest.py"
- "Makefile"
- ".cargo/**"
- "pyproject.toml"
@ -49,7 +48,6 @@ on:
- "litellm/ocr/**"
- "litellm/llms/base_llm/ocr/**"
- "litellm/llms/custom_httpx/llm_http_handler.py"
- "tests/test_litellm/conftest.py"
- "Makefile"
- ".cargo/**"
- "pyproject.toml"

View file

@ -174,8 +174,6 @@ jobs:
- shard: integrations
test-path: |-
tests/test_litellm/integrations
tests/test_litellm/tracing
tests/unit/integrations
python-version: "3.12"
workers: 4
@ -292,6 +290,7 @@ 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
@ -376,7 +375,6 @@ jobs:
- shard: root
test-path: >-
tests/test_litellm/test_*.py
tests/unit/test_*.py
python-version: "3.12"
workers: 4
@ -395,16 +393,6 @@ 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
@ -451,6 +439,7 @@ 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
@ -774,7 +763,7 @@ 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
@ -813,9 +802,31 @@ 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"
@ -865,17 +876,6 @@ 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
@ -890,7 +890,7 @@ 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
@ -1346,6 +1346,115 @@ 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 \
tests/integration/sdk/test_redis_cluster_iam_auth.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
@ -1391,10 +1500,20 @@ 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

@ -28,6 +28,13 @@
"litellm/rust_bridge/**"
]
},
{
"path": "litellm/rust_bridge/host/AGENTS.md",
"description": "Conventions for code under litellm/rust_bridge/host/",
"scope": [
"litellm/rust_bridge/host/**"
]
},
{
"path": "litellm/tracing/AGENTS.md",
"description": "Conventions for code under litellm/tracing/",
@ -266,6 +273,13 @@
"litellm-rust/crates/llms/src/bedrock/chat/**"
]
},
{
"path": "litellm-rust/crates/llms/src/bedrock/claude_platform/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/bedrock/claude_platform/messages/",
"scope": [
"litellm-rust/crates/llms/src/bedrock/claude_platform/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/bedrock/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/bedrock/messages/",
@ -273,6 +287,13 @@
"litellm-rust/crates/llms/src/bedrock/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/bedrock_mantle/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/bedrock_mantle/messages/",
"scope": [
"litellm-rust/crates/llms/src/bedrock_mantle/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/cohere/ocr/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/cohere/ocr/",
@ -287,6 +308,13 @@
"litellm-rust/crates/llms/src/deepseek/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/minimax/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/minimax/messages/",
"scope": [
"litellm-rust/crates/llms/src/minimax/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/mistral/ocr/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/mistral/ocr/",
@ -308,6 +336,13 @@
"litellm-rust/crates/llms/src/openai_like/chat/**"
]
},
{
"path": "litellm-rust/crates/llms/src/openrouter/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/openrouter/messages/",
"scope": [
"litellm-rust/crates/llms/src/openrouter/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/reducto/ocr/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/reducto/ocr/",
@ -315,6 +350,13 @@
"litellm-rust/crates/llms/src/reducto/ocr/**"
]
},
{
"path": "litellm-rust/crates/llms/src/tencent/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/tencent/messages/",
"scope": [
"litellm-rust/crates/llms/src/tencent/messages/**"
]
},
{
"path": "litellm-rust/crates/llms/src/vertex_ai/messages/AGENTS.md",
"description": "Conventions for code under litellm-rust/crates/llms/src/vertex_ai/messages/",

View file

@ -39,7 +39,7 @@ help:
@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)"
@ -300,7 +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
@ -328,7 +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
@ -338,7 +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

@ -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

@ -1,7 +1,7 @@
use pyo3::prelude::*;
use strum::{IntoStaticStr, VariantArray};
const MODULE: &str = "litellm.rust_bridge.callbacks_legacy_python";
const MODULE: &str = "litellm.rust_bridge.host.callbacks_legacy_python";
/// Every litellm Python internal the native call still borrows, grouped by the subsystem it
/// belongs to. Rust drives the call; these exist only so behaviour that Python owns today
@ -9,7 +9,7 @@ const MODULE: &str = "litellm.rust_bridge.callbacks_legacy_python";
/// A group is deleted once Rust owns that subsystem, so this enum only shrinks. Calling a
/// user's own callback is not borrowing and does not belong here.
///
/// `litellm/rust_bridge/callbacks_legacy_python.py` is the only Python module behind it, and
/// `litellm/rust_bridge/host/callbacks_legacy_python.py` is the only Python module behind it, and
/// `python_contract.json` pins each function's parameters on both sides.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub(crate) enum LegacyPython {

View file

@ -6,7 +6,7 @@ use pyo3::types::{PyDict, PyTuple};
use crate::{LegacyLogging, PublicCall};
/// The parameters of every `callbacks_legacy_python` function, as the real module declares them.
/// `tests/unit/rust_bridge/test_callbacks_legacy_python.py` pins this file to the Python
/// `tests/unit/rust_bridge/host/test_callbacks_legacy_python.py` pins this file to the Python
/// signatures, and [`namespace`] binds every fake call against it.
pub(crate) const PYTHON_CONTRACT: &str = include_str!("../python_contract.json");
@ -23,10 +23,10 @@ import sys
import traceback
import types
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.callbacks_legacy_python'):
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.host', 'litellm.rust_bridge.host.callbacks_legacy_python'):
sys.modules.setdefault(name, types.ModuleType(name))
legacy = sys.modules['litellm.rust_bridge.callbacks_legacy_python']
legacy = sys.modules['litellm.rust_bridge.host.callbacks_legacy_python']
CONTRACT = json.loads(python_contract)

View file

@ -16,18 +16,26 @@ pub enum LlmProviders {
AzureAi,
#[strum(serialize = "bedrock")]
Bedrock,
#[strum(serialize = "bedrock_mantle")]
BedrockMantle,
#[strum(serialize = "cohere")]
Cohere,
#[strum(serialize = "deepseek")]
Deepseek,
#[strum(serialize = "minimax")]
Minimax,
#[strum(serialize = "mistral")]
Mistral,
#[strum(serialize = "openai")]
Openai,
#[strum(serialize = "openai_like")]
OpenaiLike,
#[strum(serialize = "openrouter")]
Openrouter,
#[strum(serialize = "reducto")]
Reducto,
#[strum(serialize = "tencent")]
Tencent,
#[strum(serialize = "vertex_ai")]
VertexAi,
}

View file

@ -19,7 +19,12 @@ use crate::{Deployment, Error, Gateway, JsonObject, RequestId, request};
/// Client headers Python forwards to Anthropic-speaking providers on every call.
const ANTHROPIC_API_HEADERS: [&str; 2] = ["anthropic-version", "anthropic-beta"];
const ANTHROPIC_API_HEADER_PROVIDERS: &str = "anthropic,bedrock,bedrock_mantle,vertex_ai";
const OPENROUTER_API_HEADERS: [&str; 2] = [
"x-openrouter-metadata",
"x-openrouter-experimental-metadata",
];
const ANTHROPIC_API_HEADER_PROVIDERS: &str =
"anthropic,bedrock,bedrock_mantle,vertex_ai,openrouter";
pub async fn create(
State(gateway): State<Arc<Gateway>>,
@ -88,17 +93,28 @@ fn project(
}
fn anthropic_api_headers(headers: &HeaderMap) -> Option<ProviderSpecificHeaders> {
let extra_headers: Map<String, Value> = ANTHROPIC_API_HEADERS
let scopes = [
(
ANTHROPIC_API_HEADER_PROVIDERS,
ANTHROPIC_API_HEADERS.as_slice(),
),
("openrouter", OPENROUTER_API_HEADERS.as_slice()),
];
let forwarded: Vec<ProviderSpecificHeader> = scopes
.into_iter()
.filter_map(|name| {
let value = headers.get(name)?.to_str().ok()?;
Some((name.to_owned(), Value::from(value)))
.filter_map(|(provider, names)| {
let extra_headers: Map<String, Value> = names
.iter()
.filter_map(|name| {
let value = headers.get(*name)?.to_str().ok()?;
Some(((*name).to_owned(), Value::from(value)))
})
.collect();
(!extra_headers.is_empty()).then(|| ProviderSpecificHeader {
custom_llm_provider: provider.into(),
extra_headers,
})
})
.collect();
(!extra_headers.is_empty()).then(|| {
ProviderSpecificHeaders::One(ProviderSpecificHeader {
custom_llm_provider: ANTHROPIC_API_HEADER_PROVIDERS.into(),
extra_headers,
})
})
(!forwarded.is_empty()).then_some(ProviderSpecificHeaders::Many(forwarded))
}

View file

@ -192,3 +192,52 @@ async fn model_permissions_prevent_provider_calls(#[case] path: &str) {
assert_eq!(response.status(), 403);
assert!(upstream.received_requests().await.unwrap().is_empty());
}
#[rstest]
#[case::completion(false)]
#[case::streaming(true)]
#[tokio::test]
async fn openrouter_receives_native_messages_headers_and_its_deployment_bearer(
#[case] streaming: bool,
) {
let upstream = MockServer::start().await;
let message = json!({"id": "msg_test", "type": "message", "role": "assistant", "model": "anthropic/test-model", "content": [{"type": "text", "text": "hello"}], "stop_reason": "end_turn", "stop_sequence": null, "usage": {"input_tokens": 1, "output_tokens": 1, "cost": 0.001, "cost_details": "unexpected"}, "openrouter_metadata": {"provider": "test-provider"}});
let sse = "event: message_delta\ndata: {\"type\":\"message_delta\",\"usage\":{\"cost\":0.001}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n";
let template = if streaming {
ResponseTemplate::new(200).set_body_raw(sse, "text/event-stream")
} else {
ResponseTemplate::new(200).set_body_json(message.clone())
};
Mock::given(method("POST"))
.and(path("/api/v1/messages"))
.and(header("authorization", "Bearer test-key"))
.and(header("anthropic-beta", "test-feature"))
.and(header("anthropic-version", "test-version"))
.and(header("x-openrouter-metadata", "enabled"))
.and(body_json(json!({"model": "anthropic/test-model", "messages": [{"role": "user", "content": "hi"}], "max_tokens": 16, "stream": streaming, "provider": {"order": ["test-provider"]}})))
.respond_with(template).expect(1).mount(&upstream).await;
let request = Request::post("/v1/messages")
.header("content-type", "application/json")
.header("anthropic-beta", "test-feature")
.header("anthropic-version", "test-version")
.header("x-openrouter-metadata", "enabled")
.header("x-api-key", "proxy-key")
.header("authorization", "Bearer proxy-key")
.body(Body::from(json!({"model": "public/model", "messages": [{"role": "user", "content": "hi"}], "max_tokens": 16, "stream": streaming, "provider": {"order": ["test-provider"]}}).to_string())).unwrap();
let response = support::app(
"openrouter/anthropic/test-model",
&format!("{}/api/v1", upstream.uri()),
)
.oneshot(request)
.await
.unwrap();
assert_eq!(response.status(), 200);
if streaming {
assert_eq!(to_bytes(response.into_body(), 4096).await.unwrap(), sse);
} else {
assert_eq!(support::json(response).await, message);
}
let requests = upstream.received_requests().await.unwrap();
assert_eq!(requests.len(), 1);
assert!(!requests[0].headers.contains_key("x-api-key"));
}

View file

@ -24,7 +24,7 @@ From the repository root, this loopback-only example runs the existing Python MC
```sh
cargo run --manifest-path litellm-rust/Cargo.toml -p litellm-gateway-mcp --example stdio_proxy -- \
.venv/bin/python -c 'import runpy; runpy.run_path("tests/mcp_tests/mcp_e2e_upstream_server.py")["mcp"].run(transport="stdio")'
.venv/bin/python -c 'import runpy; runpy.run_path("tests/integration/_support/mcp_e2e_upstream_server.py")["mcp"].run(transport="stdio")'
```
```sh

View file

@ -7,7 +7,7 @@ The binary reads YAML from `LITELLM_CONFIG` and mounts configured MCP servers al
From the repository root, start the Python fixture in one terminal:
```sh
MCP_HOST=127.0.0.1 MCP_PORT=8090 .venv/bin/python tests/mcp_tests/mcp_e2e_upstream_server.py
MCP_HOST=127.0.0.1 MCP_PORT=8090 .venv/bin/python tests/integration/_support/mcp_e2e_upstream_server.py
```
Start the gateway in another terminal with the example configuration:

View file

@ -138,7 +138,9 @@ pub fn has_bearer_auth(headers: &[(String, String)]) -> bool {
}
let value = value.trim();
value.len() > 7
&& value[..7].eq_ignore_ascii_case("bearer ")
&& value
.get(..7)
.is_some_and(|prefix| prefix.eq_ignore_ascii_case("bearer "))
&& !value[7..].trim().is_empty()
})
}
@ -279,31 +281,19 @@ mod tests {
assert!(!has_header(&headers, "authorization"));
}
#[test]
fn bearer_detection_requires_a_non_empty_token() {
assert!(has_bearer_auth(&[(
"Authorization".to_string(),
"Bearer abc".to_string()
)]));
assert!(has_bearer_auth(&[(
"authorization".to_string(),
"bearer abc".to_string()
)]));
assert!(!has_bearer_auth(&[(
"Authorization".to_string(),
"Bearer ".to_string()
)]));
assert!(!has_bearer_auth(&[(
"authorization".to_string(),
String::new()
)]));
assert!(!has_bearer_auth(&[(
"Authorization".to_string(),
"Basic abc".to_string()
)]));
assert!(!has_bearer_auth(&[(
"x-api-key".to_string(),
"abc".to_string()
)]));
#[rstest::rstest]
#[case::bearer("Authorization", "Bearer abc", true)]
#[case::lowercase("authorization", "bearer abc", true)]
#[case::blank_token("Authorization", "Bearer ", false)]
#[case::empty("authorization", "", false)]
#[case::basic("Authorization", "Basic abc", false)]
#[case::different_header("x-api-key", "abc", false)]
#[case::non_ascii("authorization", "invali\u{00e9}auth", false)]
fn bearer_detection_requires_a_non_empty_token(
#[case] name: &str,
#[case] value: &str,
#[case] expected: bool,
) {
assert_eq!(has_bearer_auth(&[(name.into(), value.into())]), expected);
}
}

View file

@ -1,14 +1,20 @@
use litellm_core_utils::get_llm_provider_logic::LlmProviders;
use litellm_http::request::string_headers as shared_string_headers;
pub(super) use litellm_http::request::truncate_error_body;
use litellm_llms::tencent::messages::transformation::TENCENT_MESSAGES_CONFIG;
use litellm_llms::{
anthropic::messages::transformation::ANTHROPIC_MESSAGES_CONFIG,
azure_ai::messages::transformation::AZURE_ANTHROPIC_MESSAGES_CONFIG,
base_llm::messages::transformation::BaseMessagesConfig,
bedrock::messages::invoke_transformations::anthropic_claude3_transformation::BEDROCK_ANTHROPIC_MESSAGES_CONFIG,
deepseek::messages::transformation::DEEPSEEK_ANTHROPIC_MESSAGES_CONFIG,
minimax::messages::transformation::MINIMAX_MESSAGES_CONFIG,
vertex_ai::messages::transformation::VERTEX_ANTHROPIC_MESSAGES_CONFIG,
};
use litellm_llms::{
bedrock::claude_platform::messages::transformation::BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG,
bedrock_mantle::messages::transformation::BEDROCK_MANTLE_MESSAGES_CONFIG,
};
use serde_json::{Map, Value};
use super::Error;
@ -34,14 +40,24 @@ impl MessagesProvider {
/// Python's `get_provider_anthropic_messages_config`: Vertex AI serves only its Claude
/// partner models on this route.
pub(crate) fn messages_provider(provider: LlmProviders, model: &str) -> Option<MessagesProvider> {
use litellm_llms::openrouter::messages::transformation::OPENROUTER_MESSAGES_CONFIG;
let config: &'static dyn BaseMessagesConfig = match provider {
LlmProviders::Tencent => &TENCENT_MESSAGES_CONFIG,
LlmProviders::Anthropic => &ANTHROPIC_MESSAGES_CONFIG,
LlmProviders::AzureAi => &AZURE_ANTHROPIC_MESSAGES_CONFIG,
LlmProviders::Bedrock if model.starts_with("claude_platform/") => {
&BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
}
LlmProviders::Bedrock if model.starts_with("mantle/") => &BEDROCK_MANTLE_MESSAGES_CONFIG,
LlmProviders::Bedrock => &BEDROCK_ANTHROPIC_MESSAGES_CONFIG,
LlmProviders::BedrockMantle => &BEDROCK_MANTLE_MESSAGES_CONFIG,
LlmProviders::Deepseek => &DEEPSEEK_ANTHROPIC_MESSAGES_CONFIG,
LlmProviders::Minimax => &MINIMAX_MESSAGES_CONFIG,
LlmProviders::VertexAi if model.to_ascii_lowercase().contains("claude") => {
&VERTEX_ANTHROPIC_MESSAGES_CONFIG
}
LlmProviders::Openrouter => &OPENROUTER_MESSAGES_CONFIG,
_ => return None,
};
Some(MessagesProvider { provider, config })
@ -64,10 +80,12 @@ mod tests {
use litellm_core_utils::get_llm_provider_logic::LlmProviders;
#[rstest]
#[case::tencent("tencent")]
#[case::anthropic("anthropic")]
#[case::azure_ai("azure_ai")]
#[case::bedrock("bedrock")]
#[case::deepseek("deepseek")]
#[case::minimax("minimax")]
#[case::vertex_ai("vertex_ai")]
fn provider_keeps_its_python_name(#[case] name: &str) {
let provider =

View file

@ -76,6 +76,10 @@ fn prepare_provider_request(
shaping,
..
} = call;
let connection_params = litellm_router_types::LitellmParams {
api_base: api_base.clone().or(litellm_params.api_base.clone()),
..litellm_params
};
let config = provider.config();
let env_lookup = |key: &str| secrets.get(key);
@ -95,25 +99,22 @@ fn prepare_provider_request(
let forwarded = string_headers(Some(
extra_headers.into_iter().flatten().chain(scoped).collect(),
))?;
let validated = config.validate_environment(
let forwarded = config.request_headers(
with_default_headers(forwarded, config.default_headers()),
&transformed,
);
let environment = config.validate_environment(
forwarded,
api_key.as_deref(),
&transformed.model,
&litellm_params,
&connection_params,
&env_lookup,
)?;
let environment = ValidatedEnvironment {
headers: config.request_headers(
with_default_headers(validated.headers, config.default_headers()),
&transformed,
),
auth: validated.auth,
};
let url = config.get_complete_url(
api_base.as_deref(),
&transformed.model,
&litellm_params,
&connection_params,
transformed.params.stream == Some(true),
&env_lookup,
)?;
@ -475,4 +476,44 @@ mod tests {
))
);
}
#[rstest]
#[case::mantle(
"bedrock_mantle/claude-test",
"https://bedrock-mantle.us-west-2.api.aws",
"/anthropic/v1/messages",
"bedrock"
)]
#[case::platform(
"bedrock/claude_platform/claude-test",
"https://aws-external-anthropic.us-west-2.api.aws",
"/v1/messages",
"aws-external-anthropic"
)]
fn explicit_endpoint_region_is_used_by_the_signer(
shaping: MessagesShaping,
#[case] model: &str,
#[case] base: &str,
#[case] path: &str,
#[case] service: &str,
) {
let prepared = prepare_with_secrets(MessagesCall {
body: body(json!({"model": model, "max_tokens": 16, "messages": [{"role": "user", "content": "hi"}]})),
api_key: None,
api_base: Some(base.into()),
custom_llm_provider: None,
litellm_params: Default::default(),
extra_headers: None,
provider_specific_header: None,
timeout: None,
shaping,
}, &|name: &str| match name {
"AWS_REGION_NAME" => Some("us-east-1".into()),
"ANTHROPIC_AWS_WORKSPACE_ID" => Some("workspace".into()),
_ => None,
}).unwrap();
assert_eq!(prepared.url, format!("{base}{path}"));
assert!(
matches!(prepared.environment.auth, litellm_llms::base_llm::auth::AuthScheme::AwsSigV4 { region, service: actual, .. } if region == "us-west-2" && actual == service)
);
}
}

View file

@ -0,0 +1,323 @@
use std::{sync::Arc, time::Duration};
use futures_util::TryStreamExt;
use litellm_inference_messages::{Error, MessagesCall, MessagesCallResponse, MessagesShaping};
use litellm_inference_testing::{RecordingSecrets, no_secrets};
use litellm_llms_types::formats::messages::{MessagesRequest, MessagesResponse};
use rstest::{fixture, rstest};
use serde_json::{Value, json};
use wiremock::ResponseTemplate;
#[path = "../support/mod.rs"]
mod support;
use support::*;
const MODEL: &str = "claude-test";
#[fixture]
fn call() -> MessagesCall {
MessagesCall {
body: serde_json::from_value(json!({"model": MODEL, "max_tokens": 16, "messages": [{"role": "user", "content": "hi"}]})).unwrap(),
api_key: None,
api_base: None,
custom_llm_provider: None,
litellm_params: Default::default(),
extra_headers: None,
provider_specific_header: None,
timeout: Some(Duration::from_secs(5)),
shaping: MessagesShaping::default(),
}
}
fn with_fields(call: MessagesCall, fields: Value) -> MessagesCall {
let body = serde_json::to_value(call.body).unwrap();
MessagesCall {
body: serde_json::from_value(Value::Object(
body.as_object()
.unwrap()
.clone()
.into_iter()
.chain(fields.as_object().unwrap().clone())
.collect(),
))
.unwrap(),
..call
}
}
fn with_model(call: MessagesCall, model: &str) -> MessagesCall {
MessagesCall {
body: MessagesRequest {
model: model.into(),
..call.body
},
..call
}
}
fn message_response() -> ResponseTemplate {
json_response(
json!({"id": "msg_1", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "hi"}], "model": MODEL, "stop_reason": "end_turn", "usage": {"input_tokens": 1, "output_tokens": 2}}),
)
}
async fn run_with(
secrets: Arc<RecordingSecrets>,
call: MessagesCall,
) -> Result<MessagesCallResponse, Error> {
messages_route(secrets).execute(call, &(), None).await
}
async fn run(call: MessagesCall) -> Result<MessagesCallResponse, Error> {
run_with(Arc::new(RecordingSecrets::empty()), call).await
}
async fn run_message(call: MessagesCall) -> MessagesResponse {
match run(call).await.unwrap() {
MessagesCallResponse::Complete(message) => *message,
MessagesCallResponse::Stream { .. } => panic!("expected a completed message"),
}
}
#[rstest]
#[case::platform(
"bedrock/claude_platform/claude-test",
"/v1/messages",
"x-api-key",
"key"
)]
#[case::mantle(
"bedrock_mantle/anthropic.claude-test",
"/anthropic/v1/messages",
"authorization",
"Bearer key"
)]
#[case::mantle_alias(
"bedrock/mantle/anthropic.claude-test",
"/anthropic/v1/messages",
"authorization",
"Bearer key"
)]
#[tokio::test]
async fn prefixes_select_native_messages_and_strip_connection_fields(
call: MessagesCall,
#[case] model: &str,
#[case] path: &str,
#[case] header: &str,
#[case] credential: &str,
) {
let upstream = upstream([message_response()]).await;
let message = run_message(MessagesCall {
api_key: Some("key".into()),
api_base: Some(upstream.uri()),
custom_llm_provider: None,
..with_fields(
call,
json!({"model": model, "workspace_id": "request-workspace"}),
)
})
.await;
assert_eq!(message.model, MODEL);
let request = only_request(&upstream).await;
assert_eq!(request.url.path(), path);
assert_eq!(request.header(header), Some(credential));
assert_eq!(request.json()["model"], model.rsplit('/').next().unwrap());
if path == "/v1/messages" {
assert_eq!(
request.header("anthropic-workspace-id"),
Some("request-workspace")
);
assert_eq!(request.json().get("workspace_id"), None);
}
}
#[rstest]
#[case::platform(
"bedrock/claude_platform/claude-test",
"ANTHROPIC_AWS_API_KEY",
"ANTHROPIC_AWS_BASE_URL",
"/v1/messages",
"x-api-key",
"managed"
)]
#[case::mantle(
"bedrock_mantle/claude-test",
"AWS_BEARER_TOKEN_BEDROCK",
"BEDROCK_MANTLE_API_BASE",
"/anthropic/v1/messages",
"authorization",
"Bearer managed"
)]
#[tokio::test]
async fn managed_keys_bases_and_workspaces_reach_the_upstream(
call: MessagesCall,
#[case] model: &str,
#[case] key_name: &str,
#[case] base_name: &str,
#[case] path: &str,
#[case] header: &str,
#[case] credential: &str,
) {
let upstream = upstream([message_response()]).await;
let base = upstream.uri();
let secrets = Arc::new(RecordingSecrets::new([
(key_name, "managed"),
(base_name, base.as_str()),
("ANTHROPIC_AWS_WORKSPACE_ID", "managed-workspace"),
]));
let output = run_with(
secrets,
MessagesCall {
custom_llm_provider: None,
..with_model(call, model)
},
)
.await
.unwrap();
assert!(matches!(output, MessagesCallResponse::Complete(_)));
let request = only_request(&upstream).await;
assert_eq!(request.url.path(), path);
assert_eq!(request.header(header), Some(credential));
if path == "/v1/messages" {
assert_eq!(
request.header("anthropic-workspace-id"),
Some("managed-workspace")
);
}
}
#[rstest]
#[case::platform("bedrock/claude_platform/claude-test", "aws-external-anthropic")]
#[case::mantle("bedrock_mantle/claude-test", "bedrock")]
#[tokio::test]
async fn managed_aws_credentials_sign_the_exact_native_request(
call: MessagesCall,
#[case] model: &str,
#[case] service: &str,
) {
let upstream = upstream([message_response()]).await;
let secrets = Arc::new(RecordingSecrets::new([
("AWS_ACCESS_KEY_ID", "test-access"),
("AWS_SECRET_ACCESS_KEY", "test-secret"),
("AWS_SESSION_TOKEN", "test-session"),
("AWS_REGION_NAME", "us-west-2"),
("ANTHROPIC_AWS_WORKSPACE_ID", "managed-workspace"),
]));
run_with(
secrets,
MessagesCall {
api_base: Some(upstream.uri()),
custom_llm_provider: None,
..with_model(call, model)
},
)
.await
.unwrap();
let request = only_request(&upstream).await;
let auth = request.header("authorization").unwrap();
assert!(auth.starts_with("AWS4-HMAC-SHA256 Credential=test-access/"));
assert!(auth.contains(&format!("/us-west-2/{service}/aws4_request")));
assert_eq!(request.header("x-amz-security-token"), Some("test-session"));
assert_eq!(request.header("x-api-key"), None);
assert_eq!(request.json()["model"], "claude-test");
}
#[rstest]
#[tokio::test]
async fn private_mantle_endpoint_is_used_and_signed(call: MessagesCall) {
let upstream = upstream([message_response()]).await;
let params = litellm_router_types::LitellmParams {
aws: litellm_auth::AwsParams {
aws_bedrock_runtime_endpoint: Some(upstream.uri()),
aws_access_key_id: Some("private-access".into()),
aws_secret_access_key: Some("private-secret".into()),
aws_region_name: Some("us-west-2".into()),
..Default::default()
},
..Default::default()
};
run(MessagesCall {
custom_llm_provider: None,
litellm_params: params,
..with_model(call, "bedrock/mantle/claude-test")
})
.await
.unwrap();
let request = only_request(&upstream).await;
assert_eq!(request.url.path(), "/anthropic/v1/messages");
assert!(
request
.header("authorization")
.unwrap()
.contains("/us-west-2/bedrock/aws4_request")
);
}
#[rstest]
#[case::platform("bedrock/claude_platform/claude-test")]
#[case::mantle("bedrock_mantle/claude-test")]
#[tokio::test]
async fn native_streams_relay_every_sse_byte(call: MessagesCall, #[case] model: &str) {
let sse = "event: message_start\ndata: {\"type\":\"message_start\"}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n";
let upstream =
upstream([ResponseTemplate::new(200).set_body_raw(sse, "text/event-stream")]).await;
let response = messages_route(no_secrets())
.execute(
MessagesCall {
api_key: Some("key".into()),
api_base: Some(upstream.uri()),
custom_llm_provider: None,
..with_fields(
call,
json!({"model": model, "stream": true, "workspace_id": "workspace"}),
)
},
&(),
None,
)
.await
.unwrap();
let MessagesCallResponse::Stream { chunks, .. } = response else {
panic!("expected SSE");
};
assert_eq!(
chunks.try_collect::<Vec<_>>().await.unwrap().concat(),
sse.as_bytes()
);
assert_eq!(only_request(&upstream).await.json()["stream"], true);
}
#[rstest]
#[case::missing(false)]
#[case::configured(true)]
#[tokio::test]
async fn deployment_workspace_is_required_and_sent_as_a_header(
call: MessagesCall,
#[case] configured: bool,
) {
let upstream = upstream([message_response()]).await;
let params = if configured {
serde_json::from_value(json!({"model": "bedrock/claude_platform/claude-test", "workspace_id": "deployment-workspace"})).unwrap()
} else {
Default::default()
};
let result = run(MessagesCall {
api_key: Some("key".into()),
api_base: Some(upstream.uri()),
litellm_params: params,
..with_model(call, "bedrock/claude_platform/claude-test")
})
.await;
if !configured {
assert!(matches!(result, Err(Error::Auth(_))));
assert!(received(&upstream).await.is_empty());
return;
}
assert!(matches!(result.unwrap(), MessagesCallResponse::Complete(_)));
let sent = only_request(&upstream).await;
assert_eq!(
sent.header("anthropic-workspace-id"),
Some("deployment-workspace")
);
assert_eq!(sent.json().get("workspace_id"), None);
}

View file

@ -24,6 +24,7 @@ mod request;
mod response;
mod secrets;
mod stream;
mod tencent;
const MODEL: &str = "claude-sonnet-4-5";

View file

@ -11,6 +11,9 @@ use super::*;
#[rstest]
#[case::anthropic_key("anthropic", Some("sk-ant"), &[], ("x-api-key", "sk-ant"), &["authorization"])]
#[case::minimax_key("minimax", Some("sk-test"), &[], ("x-api-key", "sk-test"), &["authorization"])]
#[case::minimax_forwarded_key("minimax", Some("deployment"), &[("X-Api-Key", "caller")], ("x-api-key", "caller"), &["authorization"])]
#[case::minimax_forwarded_bearer("minimax", None, &[("Authorization", "Bearer caller")], ("authorization", "Bearer caller"), &["x-api-key"])]
#[case::azure_key("azure_ai", Some("sk-azure"), &[], ("x-api-key", "sk-azure"), &["authorization"])]
#[case::deepseek_key("deepseek", Some("sk-deepseek"), &[], ("x-api-key", "sk-deepseek"), &["authorization"])]
#[case::deepseek_forwards_caller_authorization(
@ -88,6 +91,7 @@ async fn credentials_become_exactly_one_auth_header(
#[case::anthropic("anthropic")]
#[case::azure_ai("azure_ai")]
#[case::deepseek("deepseek")]
#[case::minimax("minimax")]
#[tokio::test]
async fn a_call_without_credentials_fails_before_sending(
call: MessagesCall,
@ -123,6 +127,9 @@ async fn a_call_without_credentials_fails_before_sending(
"/v1/messages",
"/v1/messages"
)]
#[case::minimax(MODEL, Some("minimax"), "", "/v1/messages")]
#[case::minimax_prefix("minimax/claude-sonnet-4-5", None, "/v1/messages", "/v1/messages")]
#[case::minimax_endpoint_slash(MODEL, Some("minimax"), "/v1/messages/", "/v1/messages")]
#[case::azure_ai(MODEL, Some("azure_ai"), "", "/anthropic/v1/messages")]
#[case::deepseek(MODEL, Some("deepseek"), "", "/anthropic/v1/messages")]
#[case::deepseek_openai_compatible_base(MODEL, Some("deepseek"), "/beta", "/anthropic/v1/messages")]
@ -301,6 +308,7 @@ fn sent_betas(request: &wiremock::Request) -> BetaSet {
#[tokio::test]
async fn feature_betas_join_the_callers_betas_in_one_sorted_header(
call: MessagesCall,
#[values("anthropic", "minimax")] provider: &str,
#[case] fields: Value,
#[case] features: &[AnthropicBeta],
) {
@ -312,6 +320,7 @@ async fn feature_betas_join_the_callers_betas_in_one_sorted_header(
run_message(with_fields(
MessagesCall {
custom_llm_provider: Some(provider.into()),
api_key: Some("sk".into()),
api_base: Some(upstream.uri()),
extra_headers: headers([("Anthropic-Beta", "caller-beta-2025-01-01")]),
@ -362,6 +371,7 @@ async fn an_oauth_key_sends_the_browser_access_header_and_the_oauth_beta(call: M
#[case::anthropic("anthropic")]
#[case::azure_ai("azure_ai")]
#[case::deepseek("deepseek")]
#[case::minimax("minimax")]
#[tokio::test]
async fn caller_protocol_headers_win_over_the_defaults(call: MessagesCall, #[case] provider: &str) {
let upstream = upstream([message_response()]).await;
@ -452,6 +462,7 @@ async fn unsupported_params_are_dropped_under_drop_params_and_rejected_without_i
#[tokio::test]
async fn reasoning_auto_summary_marks_active_thinking_on_the_wire(
call: MessagesCall,
#[values("anthropic", "minimax")] provider: &str,
#[case] thinking: Value,
#[case] expected: Value,
) {
@ -459,6 +470,7 @@ async fn reasoning_auto_summary_marks_active_thinking_on_the_wire(
run_message(with_fields(
MessagesCall {
custom_llm_provider: Some(provider.into()),
api_key: Some("sk".into()),
api_base: Some(upstream.uri()),
shaping: MessagesShaping {
@ -517,6 +529,7 @@ async fn reasoning_auto_summary_marks_active_thinking_on_the_wire(
#[tokio::test]
async fn reasoning_is_translated_by_the_model_capabilities(
call: MessagesCall,
#[values("anthropic", "minimax")] provider: &str,
#[case] capabilities: MessagesModelCapabilities,
#[case] fields: Value,
#[case] expected: Value,
@ -525,6 +538,7 @@ async fn reasoning_is_translated_by_the_model_capabilities(
run_message(with_fields(
MessagesCall {
custom_llm_provider: Some(provider.into()),
api_key: Some("sk".into()),
api_base: Some(upstream.uri()),
shaping: MessagesShaping {
@ -592,6 +606,7 @@ async fn replayed_history_is_cleaned_before_sending(
#[case::anthropic("anthropic")]
#[case::azure("azure_ai")]
#[case::deepseek("deepseek")]
#[case::minimax("minimax")]
#[tokio::test]
async fn metadata_is_reduced_to_the_user_id(call: MessagesCall, #[case] provider: &str) {
let upstream = upstream([message_response()]).await;
@ -703,11 +718,16 @@ async fn vertex_ai_addresses_the_model_in_the_url_and_not_in_the_body(
#[case::numeric_user_id(json!({"metadata": {"user_id": 7}}))]
#[case::missing_max_tokens(json!({"max_tokens": null}))]
#[tokio::test]
async fn an_invalid_request_fails_before_sending(call: MessagesCall, #[case] fields: Value) {
async fn an_invalid_request_fails_before_sending(
call: MessagesCall,
#[values("anthropic", "minimax")] provider: &str,
#[case] fields: Value,
) {
let upstream = upstream([message_response()]).await;
let error = run(with_fields(
MessagesCall {
custom_llm_provider: Some(provider.into()),
api_key: Some("sk".into()),
api_base: Some(upstream.uri()),
..call
@ -721,6 +741,45 @@ async fn an_invalid_request_fails_before_sending(call: MessagesCall, #[case] fie
assert!(received(&upstream).await.is_empty());
}
#[rstest]
#[case::billing_string(json!("x-anthropic-billing-header: private"), None)]
#[case::billing_blocks(json!([{ "type": "text", "text": "x-anthropic-billing-header: private" }]), None)]
#[case::mixed_blocks(
json!([{ "type": "text", "text": "x-anthropic-billing-header: private" }, { "type": "text", "text": "keep" }]),
Some(json!([{ "type": "text", "text": "keep" }]))
)]
#[case::ordinary_system(json!("keep"), Some(json!("keep")))]
#[tokio::test]
async fn minimax_strips_only_billing_system_blocks(
call: MessagesCall,
#[case] system: Value,
#[case] expected: Option<Value>,
) {
let upstream = upstream([message_response()]).await;
let fields = json!({
"system": system,
"tools": [{"name": "echo", "input_schema": {"type": "object"}}],
"messages": [{"role": "user", "content": [{
"type": "text", "text": "hi", "cache_control": {"type": "ephemeral", "ttl": "1h"}
}]}]
});
run_message(with_fields(
MessagesCall {
custom_llm_provider: Some("minimax".into()),
api_key: Some("sk".into()),
api_base: Some(upstream.uri()),
..call
},
fields.clone(),
))
.await;
let sent = only_request(&upstream).await.json();
assert_eq!(sent.get("system"), expected.as_ref());
assert_eq!(sent["tools"], fields["tools"]);
assert_eq!(sent["messages"], fields["messages"]);
}
#[rstest]
#[case::azure("azure_ai", &[], json!([
{"type": "text", "text": "top level"},

View file

@ -25,6 +25,13 @@ use super::*;
"/anthropic/v1/messages",
&["DEEPSEEK_API_KEY", "DEEPSEEK_ANTHROPIC_API_BASE", "DEEPSEEK_API_BASE"]
)]
#[case::minimax(
"minimax",
"MINIMAX_API_KEY",
"MINIMAX_API_BASE",
"/v1/messages",
&["MINIMAX_API_KEY", "MINIMAX_API_BASE"]
)]
#[tokio::test]
async fn the_credential_and_base_come_from_the_secret_source(
call: MessagesCall,

View file

@ -150,9 +150,21 @@ async fn stream_through(host: &RecordingStreamHost) -> Result<MessagesOutput, Er
#[rstest]
#[tokio::test]
async fn upstream_headers_are_on_the_stream_head_before_the_first_chunk(call: MessagesCall) {
async fn upstream_headers_are_on_the_stream_head_before_the_first_chunk(
call: MessagesCall,
#[values("anthropic", "minimax")] provider: &str,
) {
let upstream = upstream([sse_response()]).await;
let host = RecordingStreamHost::new(streaming(call, upstream.uri()), usize::MAX);
let host = RecordingStreamHost::new(
streaming(
MessagesCall {
custom_llm_provider: Some(provider.into()),
..call
},
upstream.uri(),
),
usize::MAX,
);
let outcome = stream_through(&host).await.expect("streamed call succeeds");

View file

@ -0,0 +1,260 @@
use std::ops::ControlFlow;
use bytes::Bytes;
use litellm_llms::base_llm::messages::context::MessagesModelCapabilities;
use litellm_llms_types::providers::anthropic::DEFAULT_HEADERS;
use rstest::{fixture, rstest};
use super::*;
#[fixture]
fn tencent_call(call: MessagesCall) -> MessagesCall {
MessagesCall {
custom_llm_provider: Some("tencent".into()),
api_key: Some("deployment-key".into()),
..call
}
}
#[rstest]
#[case::deployment_key(&[], "x-api-key", "deployment-key")]
#[case::forwarded_key(&[("X-Api-Key", "caller-key")], "x-api-key", "caller-key")]
#[case::forwarded_bearer(&[("Authorization", "Bearer caller")], "authorization", "Bearer caller")]
#[tokio::test]
async fn credentials_reach_the_selected_provider(
tencent_call: MessagesCall,
#[case] forwarded: &[(&str, &str)],
#[case] header: &str,
#[case] credential: &str,
) {
let upstream = upstream([message_response()]).await;
run_message(MessagesCall {
api_base: Some(upstream.uri()),
extra_headers: headers(forwarded.iter().copied()),
..tencent_call
})
.await;
let sent = only_request(&upstream).await;
assert_eq!(sent.header_values(header), [credential]);
let version = DEFAULT_HEADERS
.iter()
.find_map(|(name, value)| (*name == "anthropic-version").then_some(*value))
.unwrap();
assert_eq!(sent.header_values("anthropic-version"), [version]);
assert_eq!(sent.json()["model"], MODEL);
}
#[rstest]
#[tokio::test]
async fn credentials_and_base_resolve_from_the_secret_source(tencent_call: MessagesCall) {
let upstream = upstream([message_response()]).await;
let base = format!("{}/v1/chat/completions/", upstream.uri());
let secrets = Arc::new(RecordingSecrets::new([
("TENCENT_API_KEY", "secret-key"),
("TENCENT_ANTHROPIC_API_BASE", base.as_str()),
("TENCENT_API_BASE", UNREACHABLE_BASE),
]));
run_with(
secrets,
MessagesCall {
api_key: None,
..tencent_call
},
)
.await
.unwrap();
let sent = only_request(&upstream).await;
assert_eq!(sent.url.path(), "/v1/messages");
assert_eq!(sent.header("x-api-key"), Some("secret-key"));
}
#[rstest]
#[tokio::test]
async fn missing_credentials_fail_before_sending(tencent_call: MessagesCall) {
let upstream = upstream([message_response()]).await;
let error = run(MessagesCall {
api_key: None,
api_base: Some(upstream.uri()),
..tencent_call
})
.await
.unwrap_err();
assert!(matches!(
error,
Error::Auth(litellm_auth::Error::MissingApiKey {
environment_variable: "TENCENT_API_KEY",
..
})
));
assert!(received(&upstream).await.is_empty());
}
#[rstest]
#[case::missing_max_tokens(json!({"max_tokens": null}))]
#[case::invalid_metadata(json!({"metadata": {"user_id": 7}}))]
#[case::invalid_reasoning_effort(json!({"reasoning_effort": "unknown"}))]
#[tokio::test]
async fn malformed_requests_fail_before_sending(tencent_call: MessagesCall, #[case] fields: Value) {
let upstream = upstream([message_response()]).await;
let error = run(with_fields(
MessagesCall {
api_base: Some(upstream.uri()),
..tencent_call
},
fields,
))
.await
.unwrap_err();
assert!(error.is_request(), "{error:?}");
assert!(received(&upstream).await.is_empty());
}
#[rstest]
#[case::legacy(false, json!({"type": "enabled", "budget_tokens": 4095}))]
#[case::adaptive(true, json!({"type": "adaptive", "display": "summarized"}))]
#[tokio::test]
async fn reasoning_effort_becomes_model_appropriate_thinking(
tencent_call: MessagesCall,
#[case] adaptive: bool,
#[case] thinking: Value,
) {
let upstream = upstream([message_response()]).await;
run_message(with_fields(
MessagesCall {
api_base: Some(upstream.uri()),
shaping: MessagesShaping {
capabilities: MessagesModelCapabilities {
supports_reasoning: true,
supports_adaptive_thinking: adaptive,
..Default::default()
},
..Default::default()
},
..tencent_call
},
json!({"max_tokens": 4096, "reasoning_effort": "high"}),
))
.await;
let sent = only_request(&upstream).await.json();
assert_eq!(sent["thinking"], thinking);
assert_eq!(sent.get("reasoning_effort"), None);
assert_eq!(
sent.get("output_config"),
adaptive.then(|| json!({"effort": "high"})).as_ref()
);
}
#[rstest]
#[case::encrypted_reasoning(json!({"type": "thinking", "thinking": "private", "signature": "litellm_encrypted_reasoning:private"}))]
#[case::orphaned_advisor(json!({"type": "server_tool_use", "name": "advisor", "id": "srvtoolu_advisor", "input": {}}))]
#[tokio::test]
async fn replayed_history_is_cleaned_without_losing_text(
tencent_call: MessagesCall,
#[case] block: Value,
) {
let upstream = upstream([message_response()]).await;
run_message(with_fields(
MessagesCall {
api_base: Some(upstream.uri()),
..tencent_call
},
json!({"messages": [
{"role": "assistant", "content": [block, {"type": "text", "text": "keep"}]},
{"role": "user", "content": "continue"}
]}),
))
.await;
assert_eq!(
only_request(&upstream).await.json()["messages"],
json!([
{"role": "assistant", "content": [{"type": "text", "text": "keep"}]},
{"role": "user", "content": "continue"}
])
);
}
#[rstest]
#[case::billing_string(json!("x-anthropic-billing-header: private"), None)]
#[case::mixed_blocks(json!([
{"type": "text", "text": "x-anthropic-billing-header: private"},
{"type": "text", "text": "keep"}
]), Some(json!([{ "type": "text", "text": "keep" }])))]
#[case::ordinary_system(json!("keep"), Some(json!("keep")))]
#[tokio::test]
async fn billing_is_removed_and_tools_and_cache_hints_are_preserved(
tencent_call: MessagesCall,
#[case] system: Value,
#[case] expected: Option<Value>,
) {
let upstream = upstream([message_response()]).await;
let fields = json!({
"system": system,
"tools": [{"name": "echo", "input_schema": {"type": "object"}}],
"messages": [{"role": "user", "content": [{
"type": "text", "text": "hi", "cache_control": {"type": "ephemeral", "ttl": "1h"}
}]}]
});
run_message(with_fields(
MessagesCall {
api_base: Some(upstream.uri()),
..tencent_call
},
fields.clone(),
))
.await;
let sent = only_request(&upstream).await.json();
assert_eq!(sent.get("system"), expected.as_ref());
assert_eq!(sent["tools"], fields["tools"]);
assert_eq!(sent["messages"], fields["messages"]);
}
#[derive(Default)]
struct StreamSink(Mutex<Vec<u8>>);
impl litellm_host_native::in_process::StreamConsumer<Messages> for StreamSink {
async fn open_stream(
&self,
_: litellm_inference_messages::route::MessagesStreamHead,
) -> Result<ControlFlow<()>, Error> {
Ok(ControlFlow::Continue(()))
}
async fn send_chunk(&self, chunk: Bytes) -> Result<ControlFlow<()>, Error> {
self.0.lock().unwrap().extend_from_slice(&chunk);
Ok(ControlFlow::Continue(()))
}
}
#[rstest]
#[tokio::test]
async fn streaming_relays_provider_events_unchanged(tencent_call: MessagesCall) {
let events = concat!(
"event: message_start\ndata: {\"type\":\"message_start\"}\n\n",
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"delta\":{\"type\":\"text_delta\",\"text\":\"OK\"}}\n\n",
"event: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
);
let upstream =
upstream([ResponseTemplate::new(200).set_body_raw(events, "text/event-stream")]).await;
let host = LocalMessagesHost::new(with_fields(
MessagesCall {
api_base: Some(upstream.uri()),
..tencent_call
},
json!({"stream": true}),
));
let sink = StreamSink::default();
let outcome = litellm_host_native::in_process::run_hosted(
machine(Arc::new(RecordingSecrets::empty()))(host.request().unwrap()),
litellm_host_native::in_process::Host {
services: &(),
interceptors: &host,
stream: &sink,
observers: None,
},
)
.await
.unwrap();
assert!(matches!(outcome, MessagesOutput::StreamEnded));
assert_eq!(sink.0.into_inner().unwrap(), events.as_bytes());
assert_eq!(only_request(&upstream).await.json()["stream"], true);
}

View file

@ -0,0 +1,147 @@
use std::{sync::Arc, time::Duration};
use futures_util::TryStreamExt;
use litellm_inference_messages::{Error, MessagesCall, MessagesCallResponse, MessagesShaping};
use litellm_inference_testing::{RecordingSecrets, no_secrets};
use rstest::{fixture, rstest};
use serde_json::json;
use wiremock::ResponseTemplate;
#[path = "../support/mod.rs"]
mod support;
use support::*;
#[fixture]
fn call() -> MessagesCall {
MessagesCall {
body: serde_json::from_value(json!({"model": "openrouter/anthropic/test-model", "max_tokens": 16, "messages": [{"role": "user", "content": "hi"}]})).unwrap(),
api_key: None,
api_base: None,
custom_llm_provider: None,
litellm_params: Default::default(),
extra_headers: None,
provider_specific_header: None,
timeout: Some(Duration::from_secs(5)),
shaping: MessagesShaping::default(),
}
}
fn message_response() -> ResponseTemplate {
json_response(
json!({"id": "msg_1", "type": "message", "role": "assistant", "model": "anthropic/test-model", "content": [{"type": "text", "text": "hi"}], "stop_reason": "end_turn", "usage": {"input_tokens": 1, "output_tokens": 1}}),
)
}
#[rstest]
#[case::explicit(Some("explicit"), None, "Bearer explicit")]
#[case::managed(None, None, "Bearer managed")]
#[case::forwarded(None, Some("bEaReR caller"), "bEaReR caller")]
#[case::blank(Some("explicit"), Some("Bearer "), "Bearer explicit")]
#[case::malformed(Some("explicit"), Some("invali\u{00e9}auth"), "Bearer explicit")]
#[tokio::test]
async fn only_a_valid_bearer_can_override_the_configured_key(
call: MessagesCall,
#[case] api_key: Option<&str>,
#[case] authorization: Option<&str>,
#[case] expected: &str,
) {
let upstream = upstream([message_response()]).await;
let extra_headers = [("x-api-key".to_string(), json!("caller-anthropic-key"))]
.into_iter()
.chain(authorization.map(|value| ("Authorization".to_string(), json!(value))))
.collect();
let secrets = Arc::new(RecordingSecrets::new([("OPENROUTER_API_KEY", "managed")]));
let output = messages_route(secrets)
.execute(
MessagesCall {
api_key: api_key.map(str::to_string),
api_base: Some(format!("{}/api/v1", upstream.uri())),
extra_headers: Some(extra_headers),
..call
},
&(),
None,
)
.await
.unwrap();
assert!(matches!(output, MessagesCallResponse::Complete(_)));
let request = only_request(&upstream).await;
assert_eq!(request.url.path(), "/api/v1/messages");
assert_eq!(request.header_values("authorization"), [expected]);
assert_eq!(request.header("x-api-key"), None);
assert_eq!(request.json()["model"], "anthropic/test-model");
}
#[rstest]
#[tokio::test]
async fn an_anthropic_key_alone_is_not_an_openrouter_credential(call: MessagesCall) {
let upstream = upstream([message_response()]).await;
let result = messages_route(no_secrets())
.execute(
MessagesCall {
api_base: Some(upstream.uri()),
extra_headers: Some(
json!({"x-api-key": "caller-key"})
.as_object()
.unwrap()
.clone(),
),
..call
},
&(),
None,
)
.await;
assert!(matches!(
result,
Err(Error::Auth(litellm_auth::Error::MissingApiKey {
provider: "OpenRouter",
..
}))
));
assert!(received(&upstream).await.is_empty());
}
#[rstest]
#[tokio::test]
async fn the_secret_manager_supplies_the_native_base_and_key(call: MessagesCall) {
let upstream = upstream([message_response()]).await;
let base = format!("{}/api/v1", upstream.uri());
let secrets = Arc::new(RecordingSecrets::new([
("OPENROUTER_API_KEY", "managed"),
("OPENROUTER_API_BASE", base.as_str()),
]));
messages_route(secrets)
.execute(call, &(), None)
.await
.unwrap();
let request = only_request(&upstream).await;
assert_eq!(request.url.path(), "/api/v1/messages");
assert_eq!(request.header("authorization"), Some("Bearer managed"));
}
#[rstest]
#[tokio::test]
async fn streaming_relay_preserves_every_event_and_billed_usage(call: MessagesCall) {
let sse = "event: message_delta\ndata: {\"type\":\"message_delta\",\"usage\":{\"cost\":\"0.001\",\"cost_details\":\"unexpected\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n";
let upstream =
upstream([ResponseTemplate::new(200).set_body_raw(sse, "text/event-stream")]).await;
let streamed = MessagesCall {
body: serde_json::from_value(json!({"model": "openrouter/anthropic/test-model", "max_tokens": 16, "messages": [{"role": "user", "content": "hi"}], "stream": true})).unwrap(),
api_key: Some("key".into()),
api_base: Some(upstream.uri()),
..call
};
let output = messages_route(no_secrets())
.execute(streamed, &(), None)
.await
.unwrap();
let MessagesCallResponse::Stream { chunks, .. } = output else {
panic!("expected SSE");
};
assert_eq!(
chunks.try_collect::<Vec<_>>().await.unwrap().concat(),
sse.as_bytes()
);
assert_eq!(only_request(&upstream).await.json()["stream"], true);
}

View file

@ -0,0 +1,11 @@
# rules
- Reuse Anthropic Messages shaping, reasoning translation, and beta headers
- Require a workspace header and use an API key or AWS SigV4
- Keep connection fields out of the upstream request body
- Drop `context_management` by default, with per-request `claude_platform_unsupported_params` overrides
# references
- Python counterpart `litellm/llms/bedrock/claude_platform/messages_transformation.py`
- https://platform.claude.com/docs/en/build-with-claude/claude-platform-on-aws

View file

@ -0,0 +1 @@
pub mod transformation;

View file

@ -0,0 +1,395 @@
use std::sync::LazyLock;
use litellm_auth::{AwsParams, CredentialPlacement, ParamSpec, SecretValue};
use litellm_auth_aws::{AwsCredentialSource, resolve_aws_region};
use litellm_core_utils::settings::resolve_non_empty;
use litellm_http::request::{header_value, with_header, without_headers};
use litellm_llms_types::{
formats::messages::MessagesRequest,
providers::anthropic::{DEFAULT_HEADERS, MESSAGES_PATH},
};
use litellm_router_types::LitellmParams;
use serde_json::Value;
use crate::{
Error, ErrorDetail,
anthropic::messages::{
handler::shape_anthropic_messages_request,
transformation::{transform_messages_request, update_headers_with_anthropic_beta},
},
base_llm::{
auth::{AuthScheme, Headers, ValidatedEnvironment},
messages::{context::MessagesTransformContext, transformation::BaseMessagesConfig},
},
bedrock::common_utils::validated_region,
};
const SERVICE: &str = "aws-external-anthropic";
const BASE_ENVS: &[&str] = &["ANTHROPIC_AWS_BASE_URL", "ANTHROPIC_AWS_API_BASE"];
const WORKSPACE_ENVS: &[&str] = &["ANTHROPIC_AWS_WORKSPACE_ID", "ANTHROPIC_WORKSPACE_ID"];
const WORKSPACE_FIELDS: &[&str] = &[
"workspace_id",
"aws_workspace_id",
"anthropic-workspace-id",
"anthropic_workspace_id",
];
const WORKSPACE_HEADER: &str = "anthropic-workspace-id";
static WORKSPACE: ParamSpec = ParamSpec {
setting: "workspace_id",
wire: WORKSPACE_FIELDS,
module_global: None,
env: WORKSPACE_ENVS,
};
const UNSUPPORTED_OVERRIDE: &str = "claude_platform_unsupported_params";
pub struct BedrockClaudePlatformMessagesConfig;
pub const BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG: BedrockClaudePlatformMessagesConfig =
BedrockClaudePlatformMessagesConfig;
impl BaseMessagesConfig for BedrockClaudePlatformMessagesConfig {
fn shape_request(
&self,
request: MessagesRequest,
reasoning_auto_summary: bool,
) -> Result<MessagesRequest, Error> {
shape_anthropic_messages_request(request, reasoning_auto_summary)
}
fn validate_environment(
&self,
headers: Headers,
api_key: Option<&str>,
_model: &str,
params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<ValidatedEnvironment, Error> {
let workspace = header_value(&headers, WORKSPACE_HEADER)
.filter(|value| !value.trim().is_empty())
.or_else(|| {
WORKSPACE_FIELDS.iter().find_map(|field| {
params
.extra
.get(*field)?
.as_str()
.filter(|value| !value.trim().is_empty())
})
});
let workspace = resolve_non_empty(workspace, env, WORKSPACE_ENVS)
.ok_or_else(|| Error::Auth(WORKSPACE.missing("Claude Platform on AWS")))?;
let headers = with_header(headers, WORKSPACE_HEADER, workspace);
let key = resolve_non_empty(api_key, env, &["ANTHROPIC_AWS_API_KEY"]);
let headers = without_headers(headers, &["authorization"]);
if header_value(&headers, "x-api-key").is_some_and(|value| !value.trim().is_empty()) {
return Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Forwarded,
});
}
if let Some(key) = key {
return Ok(ValidatedEnvironment {
headers: without_headers(headers, &["x-api-key"]),
auth: AuthScheme::Credential {
placement: CredentialPlacement::Header("x-api-key"),
secret: SecretValue::new(key),
},
});
}
let base = resolve_non_empty(params.api_base.as_deref(), env, BASE_ENVS);
Ok(ValidatedEnvironment {
headers: without_headers(headers, &["x-api-key"]),
auth: AuthScheme::AwsSigV4 {
region: platform_region(base.as_deref(), params, env)?,
service: SERVICE,
credentials: Box::new(AwsCredentialSource::from_params(&params.aws, env)),
},
})
}
fn get_complete_url(
&self,
api_base: Option<&str>,
_model: &str,
params: &LitellmParams,
_stream: bool,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let base = resolve_non_empty(
api_base
.filter(|base| !base.trim().is_empty())
.or(params.api_base.as_deref()),
env,
BASE_ENVS,
);
let base = match base {
Some(base) => base,
None => format!(
"https://{SERVICE}.{}.api.aws",
platform_region(None, params, env)?
),
};
let base = base.trim_end_matches('/');
Ok(if base.ends_with(MESSAGES_PATH) {
base.into()
} else {
format!("{base}{MESSAGES_PATH}")
})
}
fn transform_anthropic_messages_request(
&self,
request: MessagesRequest,
context: &MessagesTransformContext,
) -> Result<MessagesRequest, Error> {
let body = serde_json::to_value(request).map_err(invalid_request)?;
let filtered = serde_json::from_value(filter_body(body, false)).map_err(invalid_request)?;
transform_messages_request(filtered, context)
}
fn secret_names(&self) -> &'static [&'static str] {
static NAMES: LazyLock<Box<[&'static str]>> = LazyLock::new(|| {
["ANTHROPIC_AWS_API_KEY"]
.into_iter()
.chain(BASE_ENVS.iter().copied())
.chain(WORKSPACE_ENVS.iter().copied())
.chain(["AWS_DEFAULT_REGION"])
.chain(AwsParams::secret_names().iter().copied())
.collect()
});
&NAMES
}
fn default_headers(&self) -> &'static [(&'static str, &'static str)] {
DEFAULT_HEADERS
}
fn request_headers(&self, headers: Headers, request: &MessagesRequest) -> Headers {
let headers = match WORKSPACE_FIELDS.iter().find_map(|field| {
request
.params
.extra
.get(*field)?
.as_str()
.filter(|value| !value.trim().is_empty())
}) {
Some(workspace) => with_header(headers, WORKSPACE_HEADER, workspace.into()),
None => headers,
};
update_headers_with_anthropic_beta(headers, request)
}
fn wire_body(&self, body: Value) -> Value {
filter_body(body, true)
}
}
fn platform_region(
base: Option<&str>,
params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let host_region = base.and_then(|base| {
let url = url::Url::parse(base).ok()?;
url.host_str()?
.strip_prefix("aws-external-anthropic.")?
.strip_suffix(".api.aws")
.map(str::to_string)
});
let region = host_region
.or_else(|| resolve_aws_region(None, &params.aws, env))
.or_else(|| resolve_non_empty(None, env, &["AWS_DEFAULT_REGION"]))
.ok_or_else(|| Error::Auth(AwsParams::REGION.missing("Claude Platform on AWS")))?;
validated_region(region)
}
fn filter_body(body: Value, strip_connection_fields: bool) -> Value {
let Value::Object(fields) = body else {
return body;
};
let unsupported: Vec<&str> = fields
.get(UNSUPPORTED_OVERRIDE)
.and_then(Value::as_array)
.map(|values| values.iter().filter_map(Value::as_str).collect())
.unwrap_or_else(|| vec!["context_management"]);
let retained = fields
.iter()
.filter(|(name, _)| {
!unsupported.contains(&name.as_str())
&& !(strip_connection_fields
&& (WORKSPACE_FIELDS.contains(&name.as_str())
|| name.starts_with("aws_")
|| name.as_str() == UNSUPPORTED_OVERRIDE))
})
.map(|(name, value)| {
let value = if name == "model" {
value
.as_str()
.map(|model| {
Value::String(
model
.strip_prefix("claude_platform/")
.unwrap_or(model)
.into(),
)
})
.unwrap_or_else(|| value.clone())
} else {
value.clone()
};
(name.clone(), value)
})
.collect();
Value::Object(retained)
}
fn invalid_request(error: serde_json::Error) -> Error {
Error::InvalidRequest(ErrorDetail::invalid("Messages request", error))
}
#[cfg(test)]
mod tests {
use super::*;
use litellm_llms_types::providers::anthropic::AnthropicBeta;
use rstest::rstest;
use serde_json::json;
#[rstest]
fn workspace_is_required_before_any_upstream_request() {
assert_eq!(
BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.validate_environment(
vec![],
Some("key"),
"claude-test",
&LitellmParams::default(),
&|_| None
)
.unwrap_err(),
Error::Auth(WORKSPACE.missing("Claude Platform on AWS"))
);
}
#[rstest]
#[case::valid("forwarded", true)]
#[case::blank(" ", false)]
fn forwarded_keys_win_and_blank_keys_fall_back(#[case] key: &str, #[case] forwarded: bool) {
let environment = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.validate_environment(
vec![
("X-Api-Key".into(), key.into()),
("authorization".into(), "stale".into()),
],
Some("explicit"),
"claude-test",
&LitellmParams::default(),
&|name| (name == "ANTHROPIC_AWS_WORKSPACE_ID").then(|| "workspace".into()),
)
.unwrap();
assert_eq!(
header_value(&environment.headers, WORKSPACE_HEADER),
Some("workspace")
);
assert_eq!(header_value(&environment.headers, "authorization"), None);
if forwarded {
assert_eq!(header_value(&environment.headers, "x-api-key"), Some(key));
assert!(matches!(environment.auth, AuthScheme::Forwarded));
} else {
assert_eq!(header_value(&environment.headers, "x-api-key"), None);
assert!(
matches!(environment.auth, AuthScheme::Credential { secret, placement: CredentialPlacement::Header("x-api-key") } if secret.expose() == "explicit")
);
}
}
#[rstest]
#[case::region("us-west-2", true)]
#[case::injection("us-east-1.attacker.test/steal?", false)]
fn generated_endpoint_regions_are_validated(#[case] region: &str, #[case] valid: bool) {
let result = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG.get_complete_url(
None,
"claude-test",
&LitellmParams::default(),
false,
&|name| (name == "AWS_DEFAULT_REGION").then(|| region.into()),
);
if valid {
assert_eq!(
result.unwrap(),
format!("https://{SERVICE}.{region}.api.aws/v1/messages")
);
} else {
assert!(matches!(result, Err(Error::InvalidRequest(_))));
}
}
#[rstest]
#[case::explicit_regional_endpoint(
"https://aws-external-anthropic.us-west-2.api.aws",
"us-east-1",
"us-west-2"
)]
fn public_regional_host_precedes_configured_region(
#[case] api_base: &str,
#[case] configured_region: &str,
#[case] expected_region: &str,
) {
let params = LitellmParams {
api_base: Some(api_base.into()),
aws: AwsParams {
aws_region_name: Some(configured_region.into()),
..Default::default()
},
..Default::default()
};
let env = |name: &str| (name == "ANTHROPIC_AWS_WORKSPACE_ID").then(|| "workspace".into());
let url = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.get_complete_url(None, "claude-test", &params, false, &env)
.unwrap();
let environment = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.validate_environment(vec![], None, "claude-test", &params, &env)
.unwrap();
assert_eq!(
url,
"https://aws-external-anthropic.us-west-2.api.aws/v1/messages"
);
assert!(
matches!(environment.auth, AuthScheme::AwsSigV4 { region, service: SERVICE, .. } if region == expected_region)
);
}
#[rstest]
#[case::default(json!({}), false)]
#[case::override_empty(json!({"claude_platform_unsupported_params": []}), true)]
fn unsupported_fields_are_filtered_before_beta_selection(
#[case] extra: Value,
#[case] keep_context: bool,
) {
let fields = json!({"model": "claude_platform/claude-test", "max_tokens": 16, "messages": [], "workspace_id": "workspace", "aws_region_name": "us-west-2", "context_management": {"edits": [{"type": "clear_thinking_20251015"}]}});
let input = Value::Object(
fields
.as_object()
.unwrap()
.clone()
.into_iter()
.chain(extra.as_object().unwrap().clone())
.collect(),
);
let request = serde_json::from_value(input).unwrap();
let transformed = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.transform_anthropic_messages_request(request, &MessagesTransformContext::default())
.unwrap();
let headers = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG.request_headers(vec![], &transformed);
let expected_beta = AnthropicBeta::ContextManagement20250627.to_string();
assert_eq!(
header_value(&headers, "anthropic-beta")
.is_some_and(|value| value.split(',').any(|beta| beta == expected_beta)),
keep_context
);
let wire = BEDROCK_CLAUDE_PLATFORM_MESSAGES_CONFIG
.wire_body(serde_json::to_value(transformed).unwrap());
assert_eq!(wire["model"], "claude-test");
assert_eq!(wire.get("context_management").is_some(), keep_context);
assert_eq!(wire.get("workspace_id"), None);
assert_eq!(wire.get("aws_region_name"), None);
assert_eq!(wire.get(UNSUPPORTED_OVERRIDE), None);
}
}

View file

@ -0,0 +1 @@
pub mod messages;

View file

@ -0,0 +1,16 @@
use crate::{Error, ErrorDetail};
pub(crate) fn validated_region(region: String) -> Result<String, Error> {
if !region.is_empty()
&& region
.bytes()
.all(|byte| byte.is_ascii_lowercase() || byte.is_ascii_digit() || byte == b'-')
{
return Ok(region);
}
Err(Error::InvalidRequest(ErrorDetail::InvalidValue {
field: "aws_region_name",
expected: "lowercase letters, digits, and hyphens",
actual: region.into(),
}))
}

View file

@ -1,3 +1,5 @@
pub mod audio_transcription;
pub mod chat;
pub mod claude_platform;
pub(crate) mod common_utils;
pub mod messages;

View file

@ -0,0 +1,10 @@
# rules
- Reuse Anthropic Messages shaping and reasoning translation
- Use bearer credentials or AWS SigV4 for the Mantle Messages endpoint
- Filter and rename caller betas using the Mantle beta policy
# references
- Python counterpart `litellm/llms/bedrock/messages/mantle_transformation.py`
- https://docs.aws.amazon.com/bedrock/latest/userguide/inference-messages-api.html

View file

@ -0,0 +1 @@
pub mod transformation;

View file

@ -0,0 +1,528 @@
use std::sync::LazyLock;
use litellm_auth::{AwsParams, CredentialPlacement, SecretValue};
use litellm_auth_aws::AwsCredentialSource;
use litellm_auth_aws::bedrock_model_id_and_region;
use litellm_core_utils::settings::resolve_non_empty;
use litellm_http::request::{with_header, without_headers};
use litellm_llms_types::{
formats::messages::MessagesRequest,
providers::anthropic::{AnthropicBeta, BetaProvider, BetaSet, DEFAULT_HEADERS},
};
use litellm_router_types::LitellmParams;
use serde_json::Value;
use crate::{
Error,
anthropic::{
common_utils::{existing_betas, merge_beta_headers},
messages::{
handler::shape_anthropic_messages_request,
transformation::{provider_feature_betas, transform_messages_request},
},
},
base_llm::{
auth::AuthScheme,
messages::{
context::MessagesTransformContext,
transformation::{BaseMessagesConfig, Headers, ValidatedEnvironment},
},
},
bedrock::common_utils::validated_region,
};
const API_BASE_ENV: &str = "BEDROCK_MANTLE_API_BASE";
const REGION_ENVS: &[&str] = &[
"BEDROCK_MANTLE_REGION",
"AWS_REGION_NAME",
"AWS_REGION",
"AWS_DEFAULT_REGION",
];
const KEY_ENVS: &[&str] = &["BEDROCK_MANTLE_API_KEY", "AWS_BEARER_TOKEN_BEDROCK"];
const MESSAGES_PATH: &str = "/anthropic/v1/messages";
const BASE_SUFFIXES: &[&str] = &[
MESSAGES_PATH,
"/v1/messages",
"/messages",
"/anthropic/v1",
"/openai/v1",
"/v1",
];
pub struct BedrockMantleAnthropicMessagesConfig;
pub const BEDROCK_MANTLE_MESSAGES_CONFIG: BedrockMantleAnthropicMessagesConfig =
BedrockMantleAnthropicMessagesConfig;
impl BaseMessagesConfig for BedrockMantleAnthropicMessagesConfig {
fn validate_environment(
&self,
headers: Headers,
api_key: Option<&str>,
model: &str,
params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<ValidatedEnvironment, Error> {
let headers: Headers = headers
.into_iter()
.filter(|(name, _)| {
!name.eq_ignore_ascii_case("authorization")
&& !name.eq_ignore_ascii_case("x-api-key")
})
.collect();
let headers = match params
.extra
.get("aws_bedrock_project_id")
.and_then(Value::as_str)
{
Some(project) => with_header(headers, "anthropic-workspace-id", project.to_string()),
None => headers,
};
let auth = match resolve_non_empty(api_key, env, KEY_ENVS) {
Some(token) => AuthScheme::Credential {
placement: CredentialPlacement::Bearer,
secret: SecretValue::new(token),
},
None => AuthScheme::AwsSigV4 {
region: mantle_region(params.api_base.as_deref(), model, params, env)?,
service: "bedrock",
credentials: Box::new(AwsCredentialSource::from_params(&params.aws, env)),
},
};
Ok(ValidatedEnvironment { headers, auth })
}
fn get_complete_url(
&self,
api_base: Option<&str>,
model: &str,
params: &LitellmParams,
_stream: bool,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let region = mantle_region(api_base, model, params, env)?;
let configured = mantle_base(api_base, params, env)
.unwrap_or_else(|| format!("https://bedrock-mantle.{region}.api.aws"));
let trimmed = configured.trim_end_matches('/');
let stripped = BASE_SUFFIXES
.iter()
.find_map(|suffix| trimmed.strip_suffix(suffix))
.unwrap_or(trimmed);
let base = if mantle_host_region(stripped).is_some() {
format!("https://bedrock-mantle.{region}.api.aws")
} else {
stripped.to_string()
};
Ok(format!("{base}{MESSAGES_PATH}"))
}
fn transform_anthropic_messages_request(
&self,
request: MessagesRequest,
context: &MessagesTransformContext,
) -> Result<MessagesRequest, Error> {
transform_messages_request(request, context)
}
fn shape_request(
&self,
request: MessagesRequest,
reasoning_auto_summary: bool,
) -> Result<MessagesRequest, Error> {
shape_anthropic_messages_request(request, reasoning_auto_summary)
}
fn wire_body(&self, body: Value) -> Value {
match body {
Value::Object(fields) => Value::Object(
fields
.into_iter()
.filter_map(|(name, value)| match name.as_str() {
"anthropic_version" | "anthropic_beta" => None,
"model" => Some((
name,
value
.as_str()
.map(|model| Value::String(mantle_model(model).0))
.unwrap_or(value),
)),
_ => Some((name, value)),
})
.collect(),
),
other => other,
}
}
fn secret_names(&self) -> &'static [&'static str] {
static NAMES: LazyLock<Box<[&'static str]>> = LazyLock::new(|| {
[
"BEDROCK_MANTLE_API_KEY",
"AWS_BEARER_TOKEN_BEDROCK",
API_BASE_ENV,
]
.into_iter()
.chain(REGION_ENVS.iter().copied())
.chain(
AwsParams::secret_names()
.iter()
.copied()
.filter(|name| !REGION_ENVS.contains(name)),
)
.collect()
});
&NAMES
}
fn default_headers(&self) -> &'static [(&'static str, &'static str)] {
DEFAULT_HEADERS
}
fn request_headers(&self, headers: Headers, request: &MessagesRequest) -> Headers {
let body_betas: BetaSet = request
.params
.extra
.get("anthropic_beta")
.and_then(Value::as_array)
.into_iter()
.flatten()
.filter_map(Value::as_str)
.filter_map(|beta| beta.parse::<AnthropicBeta>().ok())
.collect();
let caller: BetaSet = existing_betas(&headers)
.union(body_betas)
.into_iter()
.filter_map(|beta| match beta {
AnthropicBeta::Other(_) => Some(beta),
_ => beta.on(BetaProvider::BedrockMantle),
})
.collect();
let safeguards: BetaSet = request
.params
.extra
.contains_key("safeguards")
.then_some(AnthropicBeta::DangerousToolUse20260903)
.into_iter()
.collect();
merge_beta_headers(
without_headers(headers, &["anthropic-beta"]),
caller
.union(provider_feature_betas(request, BetaProvider::BedrockMantle))
.union(safeguards),
)
}
}
fn mantle_model(model: &str) -> (String, Option<String>) {
bedrock_model_id_and_region(model.strip_prefix("mantle/").unwrap_or(model))
}
fn mantle_host_region(base: &str) -> Option<String> {
let url = url::Url::parse(base).ok()?;
if !matches!(url.scheme(), "https" | "http") {
return None;
}
url.host_str()?
.strip_prefix("bedrock-mantle.")?
.strip_suffix(".api.aws")
.filter(|region| !region.contains('.') && !region.is_empty())
.map(str::to_string)
}
fn mantle_base(
base: Option<&str>,
params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Option<String> {
let explicit = [
base,
params.api_base.as_deref(),
params.aws.aws_bedrock_runtime_endpoint.as_deref(),
]
.into_iter()
.flatten()
.find(|base| !base.trim().is_empty());
resolve_non_empty(explicit, env, &[API_BASE_ENV])
}
fn mantle_region(
base: Option<&str>,
model: &str,
params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let region = mantle_base(base, params, env)
.and_then(|base| mantle_host_region(&base))
.or_else(|| resolve_non_empty(params.aws.aws_region_name.as_deref(), &|_| None, &[]))
.or_else(|| mantle_model(model).1)
.or_else(|| resolve_non_empty(None, env, REGION_ENVS))
.unwrap_or_else(|| "us-east-1".into());
validated_region(region)
}
#[cfg(test)]
mod tests {
use super::*;
use litellm_http::request::header_value;
use rstest::rstest;
use serde_json::json;
#[rstest]
#[case::root("https://private.test", "https://private.test/anthropic/v1/messages")]
#[case::openai(
"https://private.test/openai/v1/",
"https://private.test/anthropic/v1/messages"
)]
#[case::complete(
"https://private.test/anthropic/v1/messages/",
"https://private.test/anthropic/v1/messages"
)]
#[case::tenant(
"https://private.test/tenant/v1",
"https://private.test/tenant/anthropic/v1/messages"
)]
fn endpoints_are_normalized(#[case] base: &str, #[case] expected: &str) {
assert_eq!(
BEDROCK_MANTLE_MESSAGES_CONFIG
.get_complete_url(
Some(base),
"claude-test",
&LitellmParams::default(),
true,
&|_| None
)
.unwrap(),
expected
);
}
#[rstest]
#[case::parameter("us-west-2", "claude-test")]
#[case::model("us-west-2", "us-west-2/claude-test")]
fn private_endpoints_keep_their_host_and_signing_region(
#[case] region: &str,
#[case] model: &str,
) {
let params = LitellmParams {
aws: AwsParams {
aws_region_name: (model == "claude-test").then(|| region.into()),
aws_bedrock_runtime_endpoint: Some("https://private.test/anthropic/v1".into()),
..Default::default()
},
..Default::default()
};
assert_eq!(
BEDROCK_MANTLE_MESSAGES_CONFIG
.get_complete_url(None, model, &params, false, &|_| None)
.unwrap(),
"https://private.test/anthropic/v1/messages"
);
let environment = BEDROCK_MANTLE_MESSAGES_CONFIG
.validate_environment(vec![], None, model, &params, &|_| None)
.unwrap();
assert!(
matches!(environment.auth, AuthScheme::AwsSigV4 { region: actual, service: "bedrock", .. } if actual == region)
);
}
#[rstest]
#[case::explicit_regional_endpoint(
"https://bedrock-mantle.us-west-2.api.aws",
"us-east-1",
"us-west-2"
)]
fn public_regional_host_precedes_configured_region(
#[case] api_base: &str,
#[case] configured_region: &str,
#[case] expected_region: &str,
) {
let params = LitellmParams {
api_base: Some(api_base.into()),
aws: AwsParams {
aws_region_name: Some(configured_region.into()),
..Default::default()
},
..Default::default()
};
let url = BEDROCK_MANTLE_MESSAGES_CONFIG
.get_complete_url(None, "claude-test", &params, false, &|_| None)
.unwrap();
let environment = BEDROCK_MANTLE_MESSAGES_CONFIG
.validate_environment(vec![], None, "claude-test", &params, &|_| None)
.unwrap();
assert_eq!(
url,
"https://bedrock-mantle.us-west-2.api.aws/anthropic/v1/messages"
);
assert!(
matches!(environment.auth, AuthScheme::AwsSigV4 { region, service: "bedrock", .. } if region == expected_region)
);
}
#[rstest]
#[case::aws_default_region("AWS_DEFAULT_REGION", "eu-west-1")]
fn aws_default_region_selects_mantle_endpoint(#[case] env_name: &str, #[case] region: &str) {
let url = BEDROCK_MANTLE_MESSAGES_CONFIG
.get_complete_url(
None,
"claude-test",
&LitellmParams::default(),
false,
&|name| (name == env_name).then(|| region.into()),
)
.unwrap();
assert_eq!(
url,
"https://bedrock-mantle.eu-west-1.api.aws/anthropic/v1/messages"
);
}
#[rstest]
#[case::aws_default_region("AWS_DEFAULT_REGION")]
fn mantle_secret_names_include_region_fallbacks(#[case] env_name: &str) {
assert!(
BEDROCK_MANTLE_MESSAGES_CONFIG
.secret_names()
.contains(&env_name)
);
}
#[rstest]
#[case::explicit(Some("explicit"), "explicit")]
#[case::environment(None, "mantle")]
fn bearer_credentials_replace_forwarded_auth(
#[case] key: Option<&str>,
#[case] expected: &str,
) {
let environment = BEDROCK_MANTLE_MESSAGES_CONFIG
.validate_environment(
vec![
("X-Api-Key".into(), "stale".into()),
("Authorization".into(), "stale".into()),
],
key,
"claude-test",
&LitellmParams::default(),
&|name| match name {
"BEDROCK_MANTLE_API_KEY" => Some("mantle".into()),
"AWS_BEARER_TOKEN_BEDROCK" => Some("aws".into()),
_ => None,
},
)
.unwrap();
assert!(environment.headers.is_empty());
assert!(
matches!(environment.auth, AuthScheme::Credential { placement: CredentialPlacement::Bearer, secret } if secret.expose() == expected)
);
}
#[rstest]
#[case::url_injection("us-east-1.attacker.test/steal?")]
#[case::uppercase("US-EAST-1")]
fn invalid_regions_are_rejected_even_with_bearer_auth(#[case] region: &str) {
let params = LitellmParams {
aws: AwsParams {
aws_region_name: Some(region.into()),
..Default::default()
},
..Default::default()
};
assert!(matches!(
BEDROCK_MANTLE_MESSAGES_CONFIG.get_complete_url(
None,
"claude-test",
&params,
false,
&|_| None
),
Err(Error::InvalidRequest(_))
));
}
#[rstest]
#[case::arn("arn:aws:bedrock:us-east-1.attacker.test:123:model/claude-test", None)]
#[case::environment("claude-test", Some("us-east-1/steal"))]
fn model_arn_and_environment_regions_are_validated(
#[case] model: &str,
#[case] region: Option<&str>,
) {
let url = BEDROCK_MANTLE_MESSAGES_CONFIG.get_complete_url(
None,
model,
&LitellmParams::default(),
false,
&|name| {
(name == "BEDROCK_MANTLE_REGION")
.then(|| region.map(str::to_string))
.flatten()
},
);
assert!(matches!(url, Err(Error::InvalidRequest(_))));
}
#[rstest]
fn caller_betas_are_filtered_renamed_and_merged_with_feature_betas() {
let request: MessagesRequest = serde_json::from_value(json!({"model": "claude-test", "max_tokens": 16, "messages": [], "safeguards": [{"type": "dangerous_tool_use"}]})).unwrap();
let headers = BEDROCK_MANTLE_MESSAGES_CONFIG.request_headers(
vec![(
"Anthropic-Beta".into(),
"advanced-tool-use-2025-11-20,code-execution-2025-08-25,custom-beta".into(),
)],
&request,
);
let actual: std::collections::BTreeSet<&str> = header_value(&headers, "anthropic-beta")
.unwrap()
.split(',')
.collect();
let tool_search = AnthropicBeta::ToolSearchTool20251019.to_string();
let safeguards = AnthropicBeta::DangerousToolUse20260903.to_string();
assert_eq!(
actual,
["custom-beta", tool_search.as_str(), safeguards.as_str()]
.into_iter()
.collect()
);
}
#[rstest]
#[case::body_only(
json!(["custom-beta", "advanced-tool-use-2025-11-20"]),
vec![],
vec![
AnthropicBeta::Other("custom-beta".into()),
AnthropicBeta::ToolSearchTool20251019,
]
)]
#[case::header_and_body(
json!(["custom-b"]),
vec![("Anthropic-Beta".into(), "custom-a".into())],
vec![
AnthropicBeta::Other("custom-a".into()),
AnthropicBeta::Other("custom-b".into()),
]
)]
fn body_betas_are_filtered_renamed_and_merged_with_headers(
#[case] body_betas: Value,
#[case] headers: Headers,
#[case] expected: Vec<AnthropicBeta>,
) {
let request: MessagesRequest = serde_json::from_value(json!({
"model": "claude-test",
"max_tokens": 16,
"messages": [],
"anthropic_beta": body_betas
}))
.unwrap();
let headers = BEDROCK_MANTLE_MESSAGES_CONFIG.request_headers(headers, &request);
let actual: BetaSet = header_value(&headers, "anthropic-beta")
.unwrap()
.parse()
.unwrap();
let expected: BetaSet = expected.into_iter().collect();
assert_eq!(actual, expected);
}
#[rstest]
fn wire_body_keeps_streaming_and_removes_sdk_fields() {
assert_eq!(BEDROCK_MANTLE_MESSAGES_CONFIG.wire_body(json!({"model": "mantle/us-west-2/anthropic.claude-test", "stream": true, "anthropic_version": "sdk", "anthropic_beta": ["sdk"], "messages": []})), json!({"model": "anthropic.claude-test", "stream": true, "messages": []}));
}
}

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@ -0,0 +1 @@
pub mod messages;

View file

@ -3,13 +3,17 @@ pub mod aws_textract;
pub mod azure_ai;
pub mod base_llm;
pub mod bedrock;
pub mod bedrock_mantle;
pub mod cohere;
pub mod deepseek;
mod error;
pub mod minimax;
pub mod mistral;
pub mod openai;
pub mod openai_like;
pub mod openrouter;
pub mod reducto;
pub mod tencent;
pub mod vertex_ai;
pub use error::{Error, ErrorDetail, ErrorSource};

View file

@ -0,0 +1,9 @@
# rules
- Reuse Anthropic Messages shaping and reasoning translation
- Use MiniMax credentials and endpoints, and strip billing system blocks
# references
- Python counterpart `litellm/llms/minimax/messages/transformation.py`
- Upstream contract in `llms-types/src/providers/minimax/AGENTS.md`

View file

@ -0,0 +1 @@
pub mod transformation;

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@ -0,0 +1,195 @@
use litellm_auth::{CredentialPlacement, SecretValue};
use litellm_core_utils::settings::resolve_non_empty;
use litellm_llms_types::{
formats::messages::{MessagesOptionalParams, MessagesRequest},
providers::anthropic::{DEFAULT_HEADERS, MESSAGES_PATH},
};
use litellm_router_types::LitellmParams;
use crate::{
Error,
anthropic::{
common_utils::{filter_billing_headers_from_system, has_anthropic_credential},
messages::{
handler::shape_anthropic_messages_request,
transformation::{transform_messages_request, update_headers_with_anthropic_beta},
},
},
base_llm::{
auth::{AuthScheme, Headers, ValidatedEnvironment},
messages::{context::MessagesTransformContext, transformation::BaseMessagesConfig},
},
};
const API_KEY_ENV: &str = "MINIMAX_API_KEY";
const API_BASE_ENV: &str = "MINIMAX_API_BASE";
const DEFAULT_BASE: &str = "https://api.minimax.io/anthropic";
pub struct MinimaxMessagesConfig;
pub const MINIMAX_MESSAGES_CONFIG: MinimaxMessagesConfig = MinimaxMessagesConfig;
impl BaseMessagesConfig for MinimaxMessagesConfig {
fn shape_request(
&self,
request: MessagesRequest,
reasoning_auto_summary: bool,
) -> Result<MessagesRequest, Error> {
shape_anthropic_messages_request(request, reasoning_auto_summary)
}
fn validate_environment(
&self,
headers: Headers,
api_key: Option<&str>,
_model: &str,
_params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<ValidatedEnvironment, Error> {
if has_anthropic_credential(&headers) {
return Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Forwarded,
});
}
let key = resolve_non_empty(api_key, env, &[API_KEY_ENV]).ok_or(Error::Auth(
litellm_auth::Error::MissingApiKey {
provider: "MiniMax",
environment_variable: API_KEY_ENV,
},
))?;
Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Credential {
placement: CredentialPlacement::Header("x-api-key"),
secret: SecretValue::new(key),
},
})
}
fn get_complete_url(
&self,
api_base: Option<&str>,
_model: &str,
_params: &LitellmParams,
_stream: bool,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let base = resolve_non_empty(api_base, env, &[API_BASE_ENV])
.unwrap_or_else(|| DEFAULT_BASE.into());
let base = base.trim_end_matches('/');
if base.ends_with(MESSAGES_PATH) {
return Ok(base.into());
}
Ok(format!("{base}{MESSAGES_PATH}"))
}
fn transform_anthropic_messages_request(
&self,
request: MessagesRequest,
context: &MessagesTransformContext,
) -> Result<MessagesRequest, Error> {
let request = transform_messages_request(request, context)?;
Ok(MessagesRequest {
params: MessagesOptionalParams {
system: request
.params
.system
.and_then(filter_billing_headers_from_system),
..request.params
},
..request
})
}
fn secret_names(&self) -> &'static [&'static str] {
&[API_KEY_ENV, API_BASE_ENV]
}
fn default_headers(&self) -> &'static [(&'static str, &'static str)] {
DEFAULT_HEADERS
}
fn request_headers(&self, headers: Headers, request: &MessagesRequest) -> Headers {
update_headers_with_anthropic_beta(headers, request)
}
}
#[cfg(test)]
mod tests {
use rstest::rstest;
use super::*;
fn no_env(_: &str) -> Option<String> {
None
}
#[rstest]
#[case::root("https://proxy.test", "https://proxy.test/v1/messages")]
#[case::root_slash("https://proxy.test/", "https://proxy.test/v1/messages")]
#[case::full_endpoint("https://proxy.test/v1/messages", "https://proxy.test/v1/messages")]
#[case::full_endpoint_slash(
"https://proxy.test/v1/messages/",
"https://proxy.test/v1/messages"
)]
#[case::custom_path(
"https://proxy.test/anthropic",
"https://proxy.test/anthropic/v1/messages"
)]
fn endpoint_is_appended_once(#[case] base: &str, #[case] expected: &str) {
assert_eq!(
MINIMAX_MESSAGES_CONFIG.get_complete_url(
Some(base),
"test-model",
&Default::default(),
false,
&no_env,
),
Ok(expected.into())
);
}
#[rstest]
#[case::explicit(Some("https://explicit.test"), "https://explicit.test/v1/messages")]
#[case::environment(None, "https://env.test/v1/messages")]
#[case::blank_explicit(Some(" "), "https://env.test/v1/messages")]
fn base_precedence(#[case] base: Option<&str>, #[case] expected: &str) {
let env =
|name: &str| (name == API_BASE_ENV).then(|| "https://env.test/v1/messages/".into());
assert_eq!(
MINIMAX_MESSAGES_CONFIG.get_complete_url(
base,
"test-model",
&Default::default(),
false,
&env,
),
Ok(expected.into())
);
}
#[rstest]
#[case::explicit(Some("explicit"), Some("environment"), "explicit")]
#[case::environment(None, Some("environment"), "environment")]
#[case::blank_explicit(Some(" "), Some("environment"), "environment")]
fn key_precedence(
#[case] key: Option<&str>,
#[case] env_key: Option<&str>,
#[case] expected: &str,
) {
let env = |name: &str| {
(name == API_KEY_ENV)
.then(|| env_key.map(str::to_owned))
.flatten()
};
let environment = MINIMAX_MESSAGES_CONFIG
.validate_environment(vec![], key, "test-model", &Default::default(), &env)
.unwrap();
assert!(matches!(
environment.auth,
AuthScheme::Credential {
placement: CredentialPlacement::Header("x-api-key"), ref secret
} if secret.expose() == expected
));
}
}

View file

@ -0,0 +1 @@
pub mod messages;

View file

@ -0,0 +1,10 @@
# rules
- Send the native Messages payload to `/api/v1/messages` and relay Anthropic SSE
- Authenticate with a bearer token, never treat `x-api-key` as an OpenRouter credential
- Keep cache TTLs, routing fields, metadata, and provider usage extensions
- Strip first-party billing system blocks using the Anthropic helper
# references
- https://openrouter.ai/docs/api/api-reference/anthropic-messages/create-messages

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@ -0,0 +1 @@
pub mod transformation;

View file

@ -0,0 +1,198 @@
use litellm_auth::{CredentialPlacement, SecretValue};
use litellm_core_utils::settings::resolve_non_empty;
use litellm_http::request::{has_bearer_auth, without_headers};
use litellm_llms_types::{
formats::messages::{MessagesOptionalParams, MessagesRequest},
providers::anthropic::DEFAULT_HEADERS,
};
use litellm_router_types::LitellmParams;
use crate::{
Error,
anthropic::{
common_utils::filter_billing_headers_from_system,
messages::transformation::update_headers_with_anthropic_beta,
},
base_llm::{
auth::{AuthScheme, Headers, ValidatedEnvironment},
messages::{context::MessagesTransformContext, transformation::BaseMessagesConfig},
},
};
const API_KEY_ENV: &str = "OPENROUTER_API_KEY";
const API_BASE_ENV: &str = "OPENROUTER_API_BASE";
const DEFAULT_BASE: &str = "https://openrouter.ai/api/v1";
const MESSAGES_PATH: &str = "/v1/messages";
pub struct OpenRouterAnthropicMessagesConfig;
pub const OPENROUTER_MESSAGES_CONFIG: OpenRouterAnthropicMessagesConfig =
OpenRouterAnthropicMessagesConfig;
impl BaseMessagesConfig for OpenRouterAnthropicMessagesConfig {
fn validate_environment(
&self,
headers: Headers,
api_key: Option<&str>,
_model: &str,
_params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<ValidatedEnvironment, Error> {
let headers = without_headers(headers, &["x-api-key"]);
if has_bearer_auth(&headers) {
return Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Forwarded,
});
}
let key = resolve_non_empty(api_key, env, &[API_KEY_ENV]).ok_or(Error::Auth(
litellm_auth::Error::MissingApiKey {
provider: "OpenRouter",
environment_variable: API_KEY_ENV,
},
))?;
Ok(ValidatedEnvironment {
headers: without_headers(headers, &["authorization"]),
auth: AuthScheme::Credential {
placement: CredentialPlacement::Bearer,
secret: SecretValue::new(key),
},
})
}
fn get_complete_url(
&self,
api_base: Option<&str>,
_model: &str,
params: &LitellmParams,
_stream: bool,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let explicit = api_base
.filter(|base| !base.trim().is_empty())
.or(params.api_base.as_deref());
let base = resolve_non_empty(explicit, env, &[API_BASE_ENV])
.unwrap_or_else(|| DEFAULT_BASE.into());
let trimmed = base.trim_end_matches('/');
if trimmed.ends_with(MESSAGES_PATH) {
return Ok(trimmed.into());
}
Ok(format!(
"{}{MESSAGES_PATH}",
trimmed.strip_suffix("/v1").unwrap_or(trimmed)
))
}
fn transform_anthropic_messages_request(
&self,
request: MessagesRequest,
_context: &MessagesTransformContext,
) -> Result<MessagesRequest, Error> {
Ok(MessagesRequest {
params: MessagesOptionalParams {
system: request
.params
.system
.and_then(filter_billing_headers_from_system),
..request.params
},
..request
})
}
fn secret_names(&self) -> &'static [&'static str] {
&[API_KEY_ENV, API_BASE_ENV]
}
fn default_headers(&self) -> &'static [(&'static str, &'static str)] {
DEFAULT_HEADERS
}
fn request_headers(&self, headers: Headers, request: &MessagesRequest) -> Headers {
update_headers_with_anthropic_beta(headers, request)
}
}
#[cfg(test)]
mod tests {
use super::*;
use rstest::rstest;
use serde_json::json;
#[rstest]
#[case::default(None, "https://openrouter.ai/api/v1/messages")]
#[case::root(Some("https://proxy.test"), "https://proxy.test/v1/messages")]
#[case::version(
Some("https://proxy.test/api/v1/"),
"https://proxy.test/api/v1/messages"
)]
#[case::complete(
Some("https://proxy.test/api/v1/messages/"),
"https://proxy.test/api/v1/messages"
)]
fn urls_append_messages_once(#[case] base: Option<&str>, #[case] expected: &str) {
assert_eq!(
OPENROUTER_MESSAGES_CONFIG
.get_complete_url(
base,
"anthropic/test-model",
&LitellmParams::default(),
true,
&|_| None
)
.unwrap(),
expected
);
}
#[rstest]
#[case::call(
Some("https://call.test/v1"),
Some("https://deployment.test/v1"),
"https://call.test/v1/messages"
)]
#[case::deployment(
None,
Some("https://deployment.test/v1"),
"https://deployment.test/v1/messages"
)]
#[case::blank_call(
Some(" "),
Some("https://deployment.test/v1"),
"https://deployment.test/v1/messages"
)]
#[case::environment(None, None, "https://secret.test/v1/messages")]
fn base_precedence_is_call_deployment_then_secrets(
#[case] base: Option<&str>,
#[case] deployment: Option<&str>,
#[case] expected: &str,
) {
let params = LitellmParams {
api_base: deployment.map(str::to_string),
..Default::default()
};
assert_eq!(
OPENROUTER_MESSAGES_CONFIG
.get_complete_url(base, "test-model", &params, false, &|name| (name
== API_BASE_ENV)
.then(|| "https://secret.test/v1".into()))
.unwrap(),
expected
);
}
#[rstest]
fn native_payload_is_preserved_except_first_party_billing_blocks() {
let input = json!({"model": "anthropic/test-model", "max_tokens": 128, "messages": [{"role": "user", "content": [{"type": "text", "text": "hi", "cache_control": {"type": "ephemeral", "ttl": "1h"}}]}], "system": [{"type": "text", "text": "x-anthropic-billing-header: private"}, {"type": "text", "text": "instructions"}], "metadata": {"user_id": "user", "custom": "keep"}, "provider": {"order": ["test-provider"]}, "thinking": {"type": "enabled", "budget_tokens": 64}});
let request = serde_json::from_value(input.clone()).unwrap();
let actual = OPENROUTER_MESSAGES_CONFIG
.transform_anthropic_messages_request(request, &MessagesTransformContext::default())
.unwrap();
let expected = json!({"system": [{"type": "text", "text": "instructions"}]});
let body = serde_json::to_value(actual).unwrap();
assert_eq!(body["system"], expected["system"]);
assert_eq!(body["messages"], input["messages"]);
assert_eq!(body["metadata"], input["metadata"]);
assert_eq!(body["provider"], input["provider"]);
assert_eq!(body["thinking"], input["thinking"]);
}
}

View file

@ -0,0 +1 @@
pub mod messages;

View file

@ -0,0 +1,11 @@
# rules
- Reuse Anthropic Messages shaping, reasoning translation, and history cleanup
- Use Tencent credentials and endpoints, and strip billing system blocks
- Accept a root, versioned base, chat endpoint, or complete Messages endpoint
# references
- Python counterpart `litellm/llms/tencent/messages/transformation.py`
- https://www.tencentcloud.com/document/product/1300/80632
- https://cloud.tencent.com/document/product/1823/132246

View file

@ -0,0 +1 @@
pub mod transformation;

View file

@ -0,0 +1,241 @@
use litellm_auth::{CredentialPlacement, SecretValue};
use litellm_core_utils::settings::resolve_non_empty;
use litellm_llms_types::{
formats::messages::{MessagesOptionalParams, MessagesRequest},
providers::anthropic::{DEFAULT_HEADERS, MESSAGES_PATH},
};
use litellm_router_types::LitellmParams;
use crate::{
Error,
anthropic::{
common_utils::{filter_billing_headers_from_system, has_anthropic_credential},
messages::{
handler::shape_anthropic_messages_request,
transformation::{transform_messages_request, update_headers_with_anthropic_beta},
},
},
base_llm::{
auth::{AuthScheme, Headers, ValidatedEnvironment},
messages::{context::MessagesTransformContext, transformation::BaseMessagesConfig},
},
};
const API_KEY_ENV: &str = "TENCENT_API_KEY";
const API_BASE_ENV: &str = "TENCENT_API_BASE";
const ANTHROPIC_API_BASE_ENV: &str = "TENCENT_ANTHROPIC_API_BASE";
const DEFAULT_BASE: &str = "https://tokenhub-intl.tencentcloudmaas.com";
pub struct TencentAnthropicMessagesConfig;
pub const TENCENT_MESSAGES_CONFIG: TencentAnthropicMessagesConfig = TencentAnthropicMessagesConfig;
impl BaseMessagesConfig for TencentAnthropicMessagesConfig {
fn shape_request(
&self,
request: MessagesRequest,
reasoning_auto_summary: bool,
) -> Result<MessagesRequest, Error> {
shape_anthropic_messages_request(request, reasoning_auto_summary)
}
fn validate_environment(
&self,
headers: Headers,
api_key: Option<&str>,
_model: &str,
_params: &LitellmParams,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<ValidatedEnvironment, Error> {
if has_anthropic_credential(&headers) {
return Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Forwarded,
});
}
let key = resolve_non_empty(api_key, env, &[API_KEY_ENV]).ok_or(Error::Auth(
litellm_auth::Error::MissingApiKey {
provider: "Tencent",
environment_variable: API_KEY_ENV,
},
))?;
Ok(ValidatedEnvironment {
headers,
auth: AuthScheme::Credential {
placement: CredentialPlacement::Header("x-api-key"),
secret: SecretValue::new(key),
},
})
}
fn get_complete_url(
&self,
api_base: Option<&str>,
_model: &str,
_params: &LitellmParams,
_stream: bool,
env: &dyn Fn(&str) -> Option<String>,
) -> Result<String, Error> {
let base = resolve_non_empty(api_base, env, &[ANTHROPIC_API_BASE_ENV, API_BASE_ENV])
.unwrap_or_else(|| DEFAULT_BASE.into());
let base = base.trim_end_matches('/');
if base.ends_with(MESSAGES_PATH) {
return Ok(base.into());
}
let base = base
.strip_suffix("/v1/chat/completions")
.or_else(|| base.strip_suffix("/v1"))
.unwrap_or(base);
Ok(format!("{base}{MESSAGES_PATH}"))
}
fn transform_anthropic_messages_request(
&self,
request: MessagesRequest,
context: &MessagesTransformContext,
) -> Result<MessagesRequest, Error> {
let request = transform_messages_request(request, context)?;
Ok(MessagesRequest {
params: MessagesOptionalParams {
system: request
.params
.system
.and_then(filter_billing_headers_from_system),
..request.params
},
..request
})
}
fn secret_names(&self) -> &'static [&'static str] {
&[API_KEY_ENV, ANTHROPIC_API_BASE_ENV, API_BASE_ENV]
}
fn default_headers(&self) -> &'static [(&'static str, &'static str)] {
DEFAULT_HEADERS
}
fn request_headers(&self, headers: Headers, request: &MessagesRequest) -> Headers {
update_headers_with_anthropic_beta(headers, request)
}
}
#[cfg(test)]
mod tests {
use rstest::rstest;
use super::*;
fn no_env(_: &str) -> Option<String> {
None
}
#[rstest]
#[case::root("https://proxy.test", "https://proxy.test/v1/messages")]
#[case::root_slash("https://proxy.test/", "https://proxy.test/v1/messages")]
#[case::full_endpoint("https://proxy.test/v1/messages", "https://proxy.test/v1/messages")]
#[case::full_endpoint_slash(
"https://proxy.test/v1/messages/",
"https://proxy.test/v1/messages"
)]
#[case::custom_path(
"https://proxy.test/anthropic",
"https://proxy.test/anthropic/v1/messages"
)]
#[case::versioned("https://proxy.test/v1", "https://proxy.test/v1/messages")]
#[case::chat_endpoint(
"https://proxy.test/v1/chat/completions/",
"https://proxy.test/v1/messages"
)]
fn endpoint_is_appended_once(#[case] base: &str, #[case] expected: &str) {
assert_eq!(
TENCENT_MESSAGES_CONFIG.get_complete_url(
Some(base),
"test-model",
&Default::default(),
false,
&no_env,
),
Ok(expected.into())
);
}
#[rstest]
#[case::default(None, None, None, &format!("{DEFAULT_BASE}{MESSAGES_PATH}"))]
#[case::explicit(
Some("https://explicit.test"),
Some("https://anthropic.test"),
Some("https://env.test"),
"https://explicit.test/v1/messages"
)]
#[case::anthropic_base(
None,
Some("https://anthropic.test"),
Some("https://env.test"),
"https://anthropic.test/v1/messages"
)]
#[case::generic_base(
None,
None,
Some("https://env.test/v1"),
"https://env.test/v1/messages"
)]
#[case::blank_anthropic_base(
None,
Some(" "),
Some("https://env.test"),
"https://env.test/v1/messages"
)]
#[case::blank_explicit(
Some(" "),
Some("https://anthropic.test/v1/messages/"),
None,
"https://anthropic.test/v1/messages"
)]
fn base_precedence(
#[case] base: Option<&str>,
#[case] anthropic_base: Option<&str>,
#[case] generic_base: Option<&str>,
#[case] expected: &str,
) {
let env = |name: &str| match name {
ANTHROPIC_API_BASE_ENV => anthropic_base.map(str::to_owned),
API_BASE_ENV => generic_base.map(str::to_owned),
_ => None,
};
assert_eq!(
TENCENT_MESSAGES_CONFIG.get_complete_url(
base,
"test-model",
&Default::default(),
false,
&env,
),
Ok(expected.into())
);
}
#[rstest]
#[case::explicit(Some("explicit"), Some("environment"), "explicit")]
#[case::environment(None, Some("environment"), "environment")]
#[case::blank_explicit(Some(" "), Some("environment"), "environment")]
fn key_precedence(
#[case] key: Option<&str>,
#[case] env_key: Option<&str>,
#[case] expected: &str,
) {
let env = |name: &str| {
(name == API_KEY_ENV)
.then(|| env_key.map(str::to_owned))
.flatten()
};
let environment = TENCENT_MESSAGES_CONFIG
.validate_environment(vec![], key, "test-model", &Default::default(), &env)
.unwrap();
assert!(matches!(
environment.auth,
AuthScheme::Credential {
placement: CredentialPlacement::Header("x-api-key"), ref secret
} if secret.expose() == expected
));
}
}

View file

@ -0,0 +1 @@
pub mod messages;

View file

@ -9,6 +9,7 @@ pub enum Mode {
AudioTranscription,
Chat,
Completion,
Decisions,
Embedding,
Evaluation,
Guardrail,

View file

@ -1,6 +1,6 @@
use std::path::{Path, PathBuf};
use litellm_model_catalog::{AliasIssue, Catalog, Error, IntegrityLimits, Provenance};
use litellm_model_catalog::{AliasIssue, Catalog, Error, IntegrityLimits, Mode, Provenance};
use rstest::{fixture, rstest};
use serde_json::json;
@ -42,6 +42,20 @@ fn fixture_catalog() -> Catalog {
.unwrap()
}
#[rstest]
#[case::decisions("decisions", Mode::Decisions)]
#[case::legacy_evaluation("evaluation", Mode::Evaluation)]
fn parses_decision_modes(#[case] mode: &str, #[case] expected: Mode) {
let source = json!({"Test":{"litellm_provider":"test","mode":mode}}).to_string();
let catalog = Catalog::parse(source.as_bytes(), Provenance::default()).unwrap();
assert_eq!(
catalog.lookup("Test").unwrap().entry.info().mode,
Some(expected)
);
assert_eq!(serde_json::to_value(expected).unwrap(), json!(mode));
}
#[rstest]
#[ignore]
fn preserves_fields_and_metadata(fixture_catalog: Catalog) {

View file

@ -2,6 +2,6 @@
This folder owns how Rust inference reaches the selected cache: global cache selection, route admission, delegation to a Python cache and the experimental V2 native handles. Cache algorithms, storage protocols and response-cache semantics belong to their cache crates
`mod.rs` exposes the cache boundary to routes and module registration. Adapter directories remain private. `selection.rs` owns global cache selection, route admission and inference protocol composition for both adapters
`mod.rs` exposes the cache boundary to routes and module registration. Adapter directories remain private. `selection.rs` asks `litellm.rust_bridge.host.cache` for the live configured cache, and owns route admission and inference protocol composition for both adapters
`python/` delegates operations to the selected Python cache without discovering configuration. `native/` owns the experimental V2 native cache handles. Neither adapter depends on shared selection or the other adapter. Shared composition depends on the adapters, and routes use only the parent module's exports

View file

@ -9,6 +9,8 @@ use litellm_host::{
use pyo3::{prelude::*, types::PyDict};
use std::sync::Arc;
const CACHE_HOST_MODULE: &str = "litellm.rust_bridge.host.cache";
pub(crate) struct Cached<P>(std::marker::PhantomData<P>);
impl<P: Protocol> Protocol for Cached<P> {
@ -56,7 +58,10 @@ fn selected_cache<'py>(
kwargs: &Bound<'py, PyDict>,
call_type: &str,
) -> PyResult<Option<Bound<'py, PyAny>>> {
let configured = py.import("litellm")?.getattr("cache")?;
let configured = py
.import(CACHE_HOST_MODULE)?
.getattr("configured_cache")?
.call0()?;
if configured.is_none()
|| kwargs
.get_item("caching")?

View file

@ -9,6 +9,8 @@ use pyo3::{exceptions::PyValueError, prelude::*, types::PyDict};
use serde::{Serialize, de::DeserializeOwned};
use serde_json::{Map, Value};
const TIMEOUTS_MODULE: &str = "litellm.rust_bridge.host.timeouts";
/// The keyword arguments every value route shares, validated at the Python boundary.
pub(crate) struct RouteOptions {
pub(crate) model: String,
@ -47,7 +49,7 @@ pub(crate) fn optional_timeout(timeout_seconds: Option<f64>) -> Option<Duration>
}
pub(crate) fn python_timeout_seconds(py: Python<'_>, timeout: Py<PyAny>) -> PyResult<Option<f64>> {
py.import("litellm.rust_bridge.timeouts")?
py.import(TIMEOUTS_MODULE)?
.getattr("timeout_to_seconds")?
.call1((timeout,))?
.extract()

View file

@ -3,7 +3,7 @@ use strum::IntoStaticStr;
use crate::coercion::{FieldSpec, ProjectionError};
const MODULE: &str = "litellm.rust_bridge.settings";
const MODULE: &str = "litellm.rust_bridge.host.settings";
#[derive(Clone, Copy, Debug, IntoStaticStr, PartialEq, Eq)]
pub(crate) enum PythonSettings {
@ -220,22 +220,26 @@ import sys
import types
previous_modules = {
name: sys.modules[name]
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.settings')
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.host', 'litellm.rust_bridge.host.settings')
if name in sys.modules
}
litellm = types.ModuleType('litellm')
litellm.__path__ = []
rust_bridge = types.ModuleType('litellm.rust_bridge')
rust_bridge.__path__ = []
settings = types.ModuleType('litellm.rust_bridge.settings')
host = types.ModuleType('litellm.rust_bridge.host')
host.__path__ = []
settings = types.ModuleType('litellm.rust_bridge.host.settings')
def http_settings():
raise ModuleNotFoundError('No module named certifi', name='certifi')
settings.http_settings = http_settings
litellm.rust_bridge = rust_bridge
rust_bridge.settings = settings
rust_bridge.host = host
host.settings = settings
sys.modules['litellm'] = litellm
sys.modules['litellm.rust_bridge'] = rust_bridge
sys.modules['litellm.rust_bridge.settings'] = settings
sys.modules['litellm.rust_bridge.host'] = host
sys.modules['litellm.rust_bridge.host.settings'] = settings
",
Some(&locals),
Some(&locals),
@ -257,7 +261,7 @@ sys.modules['litellm.rust_bridge.settings'] = settings
);
py.run(
c"
for name in ('litellm.rust_bridge.settings', 'litellm.rust_bridge', 'litellm'):
for name in ('litellm.rust_bridge.host.settings', 'litellm.rust_bridge.host', 'litellm.rust_bridge', 'litellm'):
sys.modules.pop(name, None)
sys.modules.update(previous_modules)
",
@ -279,22 +283,26 @@ import sys
import types
previous_modules = {
name: sys.modules[name]
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.settings')
for name in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.host', 'litellm.rust_bridge.host.settings')
if name in sys.modules
}
litellm = types.ModuleType('litellm')
litellm.__path__ = []
rust_bridge = types.ModuleType('litellm.rust_bridge')
rust_bridge.__path__ = []
settings = types.ModuleType('litellm.rust_bridge.settings')
host = types.ModuleType('litellm.rust_bridge.host')
host.__path__ = []
settings = types.ModuleType('litellm.rust_bridge.host.settings')
def http_settings():
raise ImportError('cannot import name setting')
settings.http_settings = http_settings
litellm.rust_bridge = rust_bridge
rust_bridge.settings = settings
rust_bridge.host = host
host.settings = settings
sys.modules['litellm'] = litellm
sys.modules['litellm.rust_bridge'] = rust_bridge
sys.modules['litellm.rust_bridge.settings'] = settings
sys.modules['litellm.rust_bridge.host'] = host
sys.modules['litellm.rust_bridge.host.settings'] = settings
",
Some(&locals),
Some(&locals),
@ -308,7 +316,7 @@ sys.modules['litellm.rust_bridge.settings'] = settings
assert_eq!(error.to_string(), "ImportError: cannot import name setting");
py.run(
c"
for name in ('litellm.rust_bridge.settings', 'litellm.rust_bridge', 'litellm'):
for name in ('litellm.rust_bridge.host.settings', 'litellm.rust_bridge.host', 'litellm.rust_bridge', 'litellm'):
sys.modules.pop(name, None)
sys.modules.update(previous_modules)
",

View file

@ -214,7 +214,7 @@ impl MessagesPythonHost {
) -> PyResult<MessagesShaping> {
let module = py.import(ROUTE_HOST_MODULE)?;
let capabilities: MessagesModelCapabilities = from_py(
&py.import("litellm.rust_bridge.model_capabilities")?
&py.import("litellm.rust_bridge.host.model_capabilities")?
.getattr("anthropic_model_capabilities")?
.call1((model, custom_llm_provider))?,
)?;

View file

@ -368,11 +368,11 @@ mod tests {
c"
import sys
import types
timeouts = types.ModuleType('litellm.rust_bridge.timeouts')
timeouts = types.ModuleType('litellm.rust_bridge.host.timeouts')
timeouts.timeout_to_seconds = lambda timeout: None if timeout is None else float(timeout)
sys.modules.setdefault('litellm', types.ModuleType('litellm'))
sys.modules.setdefault('litellm.rust_bridge', types.ModuleType('litellm.rust_bridge'))
sys.modules['litellm.rust_bridge.timeouts'] = timeouts
sys.modules['litellm.rust_bridge.host.timeouts'] = timeouts
",
);
}

View file

@ -14,8 +14,7 @@ use pyo3::{
use super::error::{external_error, read_error};
const HANDLER_MODULE: &str = "litellm.secret_managers.secret_manager_handler";
const ENVIRONMENT_FALLBACK_LOG: &str =
"Defaulting to os.environ value for key=%s. An exception occurred - %s.\n\n%s";
const DIAGNOSTICS_MODULE: &str = "litellm.rust_bridge.host.diagnostics";
/// A secret manager whose reads execute in Python: a custom manager, a legacy compatible
/// client, or a manually assigned SDK client.
@ -112,16 +111,9 @@ impl ExternalSecretManager for PythonSecretManager {
}
fn log_environment_fallback(py: Python<'_>, name: &str, error: &PyErr) -> PyResult<()> {
let traceback = py
.import("traceback")?
.call_method1("format_exception", (error.value(py),))?;
let traceback = "".into_pyobject(py)?.call_method1("join", (traceback,))?;
py.import("litellm._logging")?
.getattr("verbose_logger")?
.call_method1(
"error",
(ENVIRONMENT_FALLBACK_LOG, name, error.value(py), traceback),
)?;
py.import(DIAGNOSTICS_MODULE)?
.getattr("log_environment_fallback")?
.call1((name, error.value(py)))?;
Ok(())
}
@ -139,7 +131,7 @@ mod tests {
use litellm_host_python::PythonContext;
use super::{HANDLER_MODULE, PythonSecretManager, python_name};
use super::{DIAGNOSTICS_MODULE, HANDLER_MODULE, PythonSecretManager, python_name};
use crate::secrets::python_error;
/// `sys.modules` is interpreter-global, so tests that install or rely on the handler module
@ -250,13 +242,24 @@ class Logger:
self.calls.append(args)
logging = types.ModuleType('litellm._logging')
logging.verbose_logger = Logger()
sys.modules.setdefault('litellm', types.ModuleType('litellm'))
for module in ('litellm', 'litellm.rust_bridge', 'litellm.rust_bridge.host'):
sys.modules.setdefault(module, types.ModuleType(module))
sys.modules.setdefault('litellm._logging', logging)
",
None,
None,
)
.unwrap();
pyo3::types::PyModule::from_code(
py,
&std::ffi::CString::new(include_str!(
"../../../../../litellm/rust_bridge/host/diagnostics.py"
))
.unwrap(),
c"diagnostics.py",
&std::ffi::CString::new(DIAGNOSTICS_MODULE).unwrap(),
)
.unwrap();
py.import("litellm._logging")
.unwrap()
.getattr("verbose_logger")

View file

@ -7,7 +7,9 @@ use pyo3::prelude::*;
use super::error::external_error;
/// Reads each secret through Python's `get_secret_str`, so the configured manager, the key
const SECRET_MANAGER_MODULE: &str = "litellm.rust_bridge.host.secret_manager";
/// Reads each secret through the host module's `read_secret_str`, so the configured manager, the key
/// management settings and the environment fallback behave exactly as they do in Python.
pub(super) struct PythonSecrets {
get_secret_str: Arc<Py<PyAny>>,
@ -17,8 +19,8 @@ pub(super) struct PythonSecrets {
impl PythonSecrets {
pub(super) fn new(py: Python<'_>) -> PyResult<Self> {
Ok(Self::reading_with(
py.import("litellm.secret_managers.main")?
.getattr("get_secret_str")?
py.import(SECRET_MANAGER_MODULE)?
.getattr("read_secret_str")?
.unbind(),
PythonContext::capture(py)?,
))

View file

@ -15,6 +15,8 @@ use pyo3::{
use crate::execution::{run_async_value, run_sync_value};
const SECRET_MANAGER_MODULE: &str = "litellm.rust_bridge.host.secret_manager";
#[derive(Clone, PartialEq)]
struct Configuration {
system: KeyManagementSystem,
@ -101,7 +103,7 @@ impl NativeSecretManager {
return Ok(Some(native));
}
let config = py
.import("litellm.rust_bridge.secret_manager")?
.import(SECRET_MANAGER_MODULE)?
.getattr("native_secret_manager_config")?
.call1((client,))?;
if config.is_none() {

View file

@ -7,6 +7,8 @@ use pyo3::prelude::*;
use super::mutation::{error_value, http_message, json_value};
const HTTP_TRANSPORT_MODULE: &str = "litellm.rust_bridge.host.http_transport";
pub(super) fn failure_value(
py: Python<'_>,
failure: Failure,
@ -82,7 +84,7 @@ fn cause_message(py: Python<'_>, kind: FailureKind, context: &ErrorContext) -> P
kwargs.set_item("model", "default-model-name")?;
kwargs.set_item("llm_provider", "litellm-httpx-handler")?;
kwargs.set_item("headers", pyo3::types::PyDict::new(py))?;
py.import("litellm")?
py.import("litellm.exceptions")?
.getattr("Timeout")?
.call((), Some(&kwargs))?
.str()?
@ -173,9 +175,9 @@ impl ErrorContext {
Ok(Self {
timeout: timeout.map(|value| value.str()?.extract()).transpose()?,
aiohttp: py
.import("litellm.llms.custom_httpx.http_handler")?
.getattr("AsyncHTTPHandler")?
.call_method0("_should_use_aiohttp_transport")?
.import(HTTP_TRANSPORT_MODULE)?
.getattr("uses_aiohttp_transport")?
.call0()?
.extract()?,
})
}

View file

@ -440,6 +440,7 @@ autorouter_presets_url: str = os.getenv(
"LITELLM_AUTOROUTER_PRESETS_URL",
"https://raw.githubusercontent.com/BerriAI/litellm/main/litellm/proxy/public_endpoints/autorouter_presets.json",
)
whats_new_url: str | None = os.getenv("LITELLM_WHATS_NEW_URL")
suppress_debug_info: bool = False
dynamodb_table_name: Optional[str] = None
s3_callback_params: Optional[Dict] = None

View file

@ -214,7 +214,7 @@ class HealthCheckHelpers:
"responses",
"anthropic_messages",
"ocr",
"evaluation",
"decisions",
],
Callable,
]:
@ -311,7 +311,7 @@ class HealthCheckHelpers:
**_filter_model_params(model_params=model_params),
document=_ocr_health_check_document(model=model, custom_llm_provider=custom_llm_provider),
),
"evaluation": lambda: litellm.asystemone(
"decisions": lambda: litellm.asystemone(
**DECISIONS_CALL_PARAMS.validate_python(
{
"state": prompt or "health check",

View file

@ -2507,7 +2507,7 @@ class Logging(LiteLLMLoggingBaseClass):
self.callback_duration_ms += (time.time() - _start) * 1000
return payload
def _transform_usage_objects(self, result):
def _transform_usage_objects(self, result: object) -> object:
if isinstance(result, ResponsesAPIResponse):
result = result.model_copy()
transformed_usage = ResponseAPILoggingUtils.transform_response_api_usage_to_chat_usage(result.usage)
@ -2545,13 +2545,13 @@ class Logging(LiteLLMLoggingBaseClass):
def _success_handler_helper_fn(
self,
result=None,
start_time=None,
end_time=None,
cache_hit=None,
result: object = None,
start_time: datetime.datetime | None = None,
end_time: datetime.datetime | None = None,
cache_hit: bool | None = None,
standard_logging_object: StandardLoggingPayload | None = None,
build_logging_payload: bool = True,
):
) -> tuple[datetime.datetime, datetime.datetime, object]:
try:
if start_time is None:
start_time = self.start_time

View file

@ -1,9 +1,10 @@
import base64
import time
from collections.abc import Callable, Iterator, Mapping, Sequence
from dataclasses import dataclass, replace
from itertools import groupby
from types import MappingProxyType
from typing import TYPE_CHECKING, Any, Final, Optional, TypeAlias, TypedDict, Union, cast
from typing import TYPE_CHECKING, Final, Optional, TypeAlias, TypedDict, Union, cast
from pydantic import BaseModel
from typing_extensions import ReadOnly, Required
@ -154,6 +155,15 @@ class _ToolCallChoice(TypedDict, total=False):
_ToolCallKey: TypeAlias = tuple[int, int]
@dataclass(frozen=True, slots=True)
class _ToolCallAccumulator:
id: str | None = None
name: str | None = None
type: str | None = None
custom_name: str | None = None
provider_specific_fields: Mapping[str, object] | None = None
class _ToolCallChunk(TypedDict):
choices: ReadOnly[Sequence[_ToolCallChoice]]
@ -503,7 +513,7 @@ class ChunkProcessor:
self, tool_call_chunks: Sequence["_ToolCallChunk"]
) -> list[ChatCompletionMessageToolCall | ChatCompletionMessageCustomToolCall]:
tool_calls_list: list[ChatCompletionMessageToolCall | ChatCompletionMessageCustomToolCall] = []
tool_call_map: Final[dict[_ToolCallKey, dict[str, Any]]] = {}
tool_call_map: Final[dict[_ToolCallKey, _ToolCallAccumulator]] = {}
for chunk in tool_call_chunks:
choices = chunk["choices"]
@ -537,49 +547,43 @@ class ChunkProcessor:
index = (choice_index, getattr(tool_call, "index", 0))
if index not in tool_call_map:
tool_call_map[index] = {
"id": None,
"name": None,
"type": None,
"custom_name": None,
"provider_specific_fields": None,
}
tool_call_map[index] = _ToolCallAccumulator()
# Extract id, type, and function data (handle both dict and object)
if isinstance(tool_call, dict):
if fragment_id := tool_call.get("id"):
tool_call_map[index]["id"] = fragment_id
tool_call_map[index] = replace(tool_call_map[index], id=fragment_id)
if fragment_type := tool_call.get("type"):
tool_call_map[index]["type"] = fragment_type
tool_call_map[index] = replace(tool_call_map[index], type=fragment_type)
function = tool_call.get("function", {})
if isinstance(function, dict):
if fragment_name := function.get("name"):
tool_call_map[index]["name"] = fragment_name
tool_call_map[index] = replace(tool_call_map[index], name=fragment_name)
else:
# function is an object
if function_name := getattr(function, "name", None):
tool_call_map[index]["name"] = function_name
tool_call_map[index] = replace(tool_call_map[index], name=function_name)
custom = tool_call.get("custom")
if isinstance(custom, dict):
if custom_name := custom.get("name"):
tool_call_map[index]["custom_name"] = custom_name
tool_call_map[index] = replace(tool_call_map[index], custom_name=custom_name)
else:
# tool_call is an object
if hasattr(tool_call, "id") and tool_call.id:
tool_call_map[index]["id"] = tool_call.id
tool_call_map[index] = replace(tool_call_map[index], id=tool_call.id)
if hasattr(tool_call, "type") and tool_call.type:
tool_call_map[index]["type"] = tool_call.type
tool_call_map[index] = replace(tool_call_map[index], type=tool_call.type)
if object_function_name := getattr(getattr(tool_call, "function", None), "name", None):
tool_call_map[index]["name"] = object_function_name
tool_call_map[index] = replace(tool_call_map[index], name=object_function_name)
object_custom: ChatCompletionDeltaCustomToolCallPayload | None = getattr(
tool_call, "custom", None
)
if object_custom is not None:
if getattr(object_custom, "name", None):
tool_call_map[index]["custom_name"] = object_custom.name
tool_call_map[index] = replace(tool_call_map[index], custom_name=object_custom.name)
# Preserve provider_specific_fields from streaming chunks
provider_fields: object = None
@ -602,12 +606,14 @@ class ChunkProcessor:
if provider_fields:
# Merge provider_specific_fields if multiple chunks have them
merged_provider_fields = tool_call_map[index]["provider_specific_fields"]
if merged_provider_fields is None:
merged_provider_fields = {}
tool_call_map[index]["provider_specific_fields"] = merged_provider_fields
if isinstance(provider_fields, dict):
merged_provider_fields.update(provider_fields)
tool_call_map[index] = replace(
tool_call_map[index],
provider_specific_fields=(
{**(tool_call_map[index].provider_specific_fields or {}), **provider_fields}
if isinstance(provider_fields, dict)
else dict(tool_call_map[index].provider_specific_fields or {})
),
)
joined_fragments: Final = self._join_fragments_by_key_and_field(
self._iter_tool_call_fragments(tool_call_chunks)
@ -616,37 +622,37 @@ class ChunkProcessor:
# Convert the map to a list of tool calls
for index in sorted(tool_call_map.keys()):
tool_call_data = tool_call_map[index]
if tool_call_data["id"] and tool_call_data["custom_name"]:
if tool_call_data.id and tool_call_data.custom_name:
tool_calls_list.append(
ChatCompletionMessageCustomToolCall(
id=tool_call_data["id"],
id=tool_call_data.id,
custom=ChatCompletionCustomToolCallPayload(
name=tool_call_data["custom_name"],
name=tool_call_data.custom_name,
input=joined_fragments.get((index, "custom_input"), ""),
),
)
)
elif tool_call_data["id"] and tool_call_data["name"]:
elif tool_call_data.id and tool_call_data.name:
combined_arguments = joined_fragments.get((index, "arguments"), "") or "{}"
# Build function - provider_specific_fields should be on tool_call level, not function level
function = Function(
arguments=combined_arguments,
name=tool_call_data["name"],
name=tool_call_data.name,
)
# Prepare params for ChatCompletionMessageToolCall
tool_call_params = {
"id": tool_call_data["id"],
"function": function,
"type": tool_call_data["type"] or "function",
}
# Add provider_specific_fields if present (for thought signatures in Gemini 3)
if tool_call_data.get("provider_specific_fields"):
tool_call_params["provider_specific_fields"] = tool_call_data["provider_specific_fields"]
tool_call = ChatCompletionMessageToolCall(**tool_call_params)
tool_call = ChatCompletionMessageToolCall(
id=tool_call_data.id,
function=function,
type=tool_call_data.type or "function",
**(
{"provider_specific_fields": dict(tool_call_data.provider_specific_fields)}
if tool_call_data.provider_specific_fields
else {}
),
)
tool_calls_list.append(tool_call)
return tool_calls_list

View file

@ -6,8 +6,8 @@ import httpx
from litellm.litellm_core_utils.audio_utils.utils import process_audio_file
from litellm.rust_bridge import runtime
from litellm.rust_bridge.catalog import Route, RouteContext
from litellm.rust_bridge.host.timeouts import timeout_to_seconds
from litellm.rust_bridge.public_call import NativeCall
from litellm.rust_bridge.timeouts import timeout_to_seconds
from litellm.rust_bridge.transcription.native import (
NATIVE_ATRANSCRIPTION,
NATIVE_TRANSCRIPTION,

View file

@ -474,7 +474,7 @@ class AmazonAgentCoreConfig(BaseConfig, BaseAWSLLM):
Returns:
AgentCoreParsedResponse: Parsed response data
"""
content_type: Final = raw_response.headers.get("content-type", "").lower()
content_type: Final = ", ".join(httpx.Headers(raw_response.headers).get_list("content-type")).lower()
verbose_logger.debug("AgentCore response Content-Type: %s", content_type)
# Parse response based on content type
@ -698,7 +698,7 @@ class AmazonAgentCoreConfig(BaseConfig, BaseAWSLLM):
)
# Check if response is JSON (agent used sync return) instead of SSE
content_type: Final = response.headers.get("content-type", "").lower()
content_type: Final = ", ".join(httpx.Headers(response.headers).get_list("content-type")).lower()
if "application/json" in content_type:
verbose_logger.debug(
"AgentCore streaming: received JSON response instead of SSE, converting to single-chunk stream"
@ -920,7 +920,7 @@ class AmazonAgentCoreConfig(BaseConfig, BaseAWSLLM):
)
# Check if response is JSON (agent used sync return) instead of SSE
content_type: Final = response.headers.get("content-type", "").lower()
content_type: Final = ", ".join(httpx.Headers(response.headers).get_list("content-type")).lower()
if "application/json" in content_type:
verbose_logger.debug(
"AgentCore streaming: received JSON response instead of SSE, converting to single-chunk stream"

View file

@ -128,6 +128,30 @@ class BedrockMantleChatConfig(BedrockMantleAuthMixin, OpenAILikeChatConfig):
)
return [*base_params, *extra_params]
def map_openai_params(
self,
non_default_params: dict[str, object], # mutable-ok: OpenAILikeChatConfig.map_openai_params signature
optional_params: dict[str, object], # mutable-ok: OpenAILikeChatConfig.map_openai_params signature
model: str,
drop_params: bool,
replace_max_completion_tokens_with_max_tokens: bool = True,
) -> dict[str, object]: # mutable-ok: OpenAILikeChatConfig.map_openai_params signature
gpt_reasoning_model: Final = is_gpt_reasoning_series_name(model)
mapped_params: Final[dict[str, object]] = super().map_openai_params( # pyright: ignore[reportUnknownMemberType, reportUnknownVariableType] # OpenAILikeChatConfig types its params and result as bare dicts # mutable-ok: parent returns a dict
non_default_params,
optional_params,
model,
drop_params,
replace_max_completion_tokens_with_max_tokens and not gpt_reasoning_model,
)
if not gpt_reasoning_model or "max_tokens" not in mapped_params:
return mapped_params
return {
param: value
for param, value in (("max_completion_tokens", mapped_params["max_tokens"]), *mapped_params.items())
if param != "max_tokens"
}
def _supports_reasoning(self, model: str) -> bool:
try:
return litellm.supports_reasoning(model=model, custom_llm_provider=self.custom_llm_provider)

View file

@ -4,18 +4,63 @@ from dataclasses import dataclass, field
from types import MappingProxyType
from typing import Final
from pydantic import TypeAdapter, ValidationError
from litellm.llms.base_llm.decisions.transformation import BaseDecisionsConfig
from litellm.types.decisions import DecisionsIRRequest, UnsupportedDecisionsRequest
DATABRICKS_AI_DECIDE_MODEL: Final = "ai_decide"
_AI_DECIDE_PATH: Final = "/api/2.0/ai-functions/ai-decide"
_SERVING_ENDPOINT_NAME: Final = re.compile(r"[A-Za-z0-9_-][A-Za-z0-9._-]*")
_MAPPING_ADAPTER: Final[TypeAdapter[Mapping[str, object]]] = TypeAdapter(Mapping[str, object])
def validate_serving_endpoint_name(name: str) -> str:
if _SERVING_ENDPOINT_NAME.fullmatch(name) is None:
raise ValueError(
f"Databricks serving endpoint name {name!r} must be the bare endpoint name (letters, digits, '-', '_' "
"and '.', with no '/', '?', '#', spaces, or a leading '.'), e.g. databricks-openjev-qwen35-4b"
)
return name
def is_ai_decide_model(model: str) -> bool:
return model == DATABRICKS_AI_DECIDE_MODEL
def validate_databricks_decisions_model(model: str) -> str:
if is_ai_decide_model(model) or _SERVING_ENDPOINT_NAME.fullmatch(model) is not None:
return model
raise ValueError(
f"Databricks decisions model must be {DATABRICKS_AI_DECIDE_MODEL!r} (the ai_decide AI Function) or a bare "
"serving endpoint name (letters, digits, '-', '_' and '.', with no '/', '?', '#', spaces, or a leading '.'), "
"e.g. databricks-openjev-qwen35-4b"
)
def databricks_workspace_host(api_base: str) -> str:
return api_base.rstrip("/").removesuffix("/serving-endpoints")
def _mapping(value: object) -> Mapping[str, object] | None:
try:
return _MAPPING_ADAPTER.validate_python(value)
except ValidationError:
return None
def _systemone_answer(answer: object) -> object:
fields: Final = _mapping(answer)
if fields is None or fields.get("type") != "noul" or "probability" not in fields:
return answer
return MappingProxyType(
{**{key: value for key, value in fields.items() if key != "probability"}, "noul": fields["probability"]}
)
def ai_decide_response(payload: Mapping[str, object]) -> Mapping[str, object]:
response: Final = _mapping(payload.get("response"))
answers: Final = None if response is None else _mapping(response.get("answers"))
if response is None or answers is None:
return payload
return MappingProxyType(
{
**{key: value for key, value in payload.items() if key != "response"},
**response,
"answers": MappingProxyType({key: _systemone_answer(answer) for key, answer in answers.items()}),
}
)
@dataclass(frozen=True, slots=True)
@ -35,13 +80,30 @@ class DatabricksDecisionsConfig(BaseDecisionsConfig):
)
def canonical_model(self, model: str) -> str:
return validate_serving_endpoint_name(model)
return validate_databricks_decisions_model(model)
def get_complete_url(self, api_base: str, model: str) -> str:
return f"{api_base.rstrip('/')}/{validate_serving_endpoint_name(model)}/invocations"
if is_ai_decide_model(model):
return f"{databricks_workspace_host(api_base)}{_AI_DECIDE_PATH}"
return f"{api_base.rstrip('/')}/{validate_databricks_decisions_model(model)}/invocations"
def transform_decisions_request(
self,
model: str,
request: DecisionsIRRequest,
custom_llm_provider: str,
) -> Mapping[str, object] | UnsupportedDecisionsRequest:
body: Final = super().transform_decisions_request(model, request, custom_llm_provider)
if isinstance(body, UnsupportedDecisionsRequest) or not is_ai_decide_model(model):
return body
return MappingProxyType({key: value for key, value in body.items() if key != "model"})
def unwrap_response(self, payload: object) -> object:
fields: Final = _mapping(payload)
return payload if fields is None else ai_decide_response(fields)
def classifier_response(self, body: Mapping[str, object], requested_model: str) -> Mapping[str, object]:
return MappingProxyType({**body, "model": requested_model})
return MappingProxyType({**ai_decide_response(body), "model": requested_model})
def connection(self, api_base: str | None, api_key: str | None) -> DatabricksDecisionsConnection:
base: Final = self.resolve_api_base(api_base)

View file

@ -1,6 +1,9 @@
from collections.abc import Mapping, Sequence
from typing import TYPE_CHECKING, Any, Final
import httpx
from pydantic import ConfigDict, RootModel, with_config
from typing_extensions import NotRequired, ReadOnly, TypedDict
import litellm
from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
@ -12,6 +15,16 @@ else:
GenerateContentContentListUnionDict = Any
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _GeminiCountTokensResponse(TypedDict):
totalTokens: NotRequired[ReadOnly[int | float]]
tokenizer_used: NotRequired[ReadOnly[str]]
class _GeminiCountTokensResponseRoot(RootModel[_GeminiCountTokensResponse]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
class GoogleAIStudioTokenCounter:
def _clean_contents_for_gemini_api(self, contents: Any) -> object:
"""
@ -79,7 +92,7 @@ class GoogleAIStudioTokenCounter:
async def acount_tokens(
self,
contents: Any,
contents: Sequence[Mapping[str, object]] | None,
model: str,
api_key: str | None = None,
api_base: str | None = None,
@ -143,8 +156,8 @@ class GoogleAIStudioTokenCounter:
response.raise_for_status()
# Parse response
result: Final = response.json()
return result
result: Final = _GeminiCountTokensResponseRoot.model_validate(response.json()).root
return dict(result)
except httpx.HTTPStatusError as e:
error_msg = f"Google Gen AI Studio API error: {e.response.status_code} - {e.response.text}"

View file

@ -41,11 +41,14 @@ Response format:
"""
import base64
from collections.abc import Mapping, Sequence
from io import BufferedReader, BytesIO
from typing import TYPE_CHECKING, Any, Final, cast
import httpx
from httpx._types import RequestFiles
from pydantic import ConfigDict, RootModel, with_config
from typing_extensions import NotRequired, ReadOnly, TypedDict
import litellm
from litellm.images.utils import ImageEditRequestUtils
@ -71,6 +74,52 @@ else:
LiteLLMLoggingObj = Any
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _ImageUrl(TypedDict):
url: ReadOnly[NotRequired[str | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _Image(TypedDict):
image_url: ReadOnly[NotRequired[_ImageUrl]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _Message(TypedDict):
images: ReadOnly[NotRequired[Sequence[_Image]]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _Choice(TypedDict):
message: ReadOnly[NotRequired[_Message]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _TokensDetails(TypedDict):
image_tokens: ReadOnly[NotRequired[int | float]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _Usage(TypedDict):
prompt_tokens: ReadOnly[NotRequired[int | float]]
total_tokens: ReadOnly[NotRequired[int | float]]
completion_tokens_details: ReadOnly[NotRequired[_TokensDetails]]
prompt_tokens_details: ReadOnly[NotRequired[_TokensDetails | None]]
cost: ReadOnly[NotRequired[int | float | str | None]]
cost_details: ReadOnly[NotRequired[Mapping[str, object] | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _OpenRouterImageEditResponse(TypedDict):
choices: ReadOnly[NotRequired[Sequence[_Choice]]]
usage: ReadOnly[NotRequired[_Usage | None]]
model: ReadOnly[NotRequired[object]]
class _OpenRouterImageEditResponseRoot(RootModel[_OpenRouterImageEditResponse]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
class OpenRouterImageEditConfig(BaseImageEditConfig):
"""
Configuration for OpenRouter image editing via chat completions.
@ -201,7 +250,7 @@ class OpenRouterImageEditConfig(BaseImageEditConfig):
logging_obj: LiteLLMLoggingObj,
) -> ImageResponse:
try:
response_json: Final = raw_response.json()
response_json: Final[object] = raw_response.json()
except Exception as e:
raise OpenRouterException(
message=f"Error parsing OpenRouter response: {e}",
@ -213,7 +262,8 @@ class OpenRouterImageEditConfig(BaseImageEditConfig):
model_response.data = []
try:
choices: Final = response_json.get("choices", [])
payload: Final = _OpenRouterImageEditResponseRoot.model_validate(response_json).root
choices: Final = payload.get("choices", [])
for choice in choices:
message = choice.get("message", {})
@ -252,7 +302,7 @@ class OpenRouterImageEditConfig(BaseImageEditConfig):
headers={},
)
self._set_usage_and_cost(model_response, response_json, model)
self._set_usage_and_cost(model_response, payload, model)
return model_response
def get_error_class(self, error_message: str, status_code: int, headers: dict | httpx.Headers) -> BaseLLMException:
@ -303,11 +353,11 @@ class OpenRouterImageEditConfig(BaseImageEditConfig):
def _set_usage_and_cost(
self,
model_response: ImageResponse,
response_json: dict,
payload: _OpenRouterImageEditResponse,
model: str,
) -> None:
"""Extract and set usage and cost information from OpenRouter response."""
usage_data: Final = response_json.get("usage", {})
usage_data: Final = payload.get("usage", {})
if usage_data:
prompt_tokens: Final = usage_data.get("prompt_tokens", 0)
total_tokens: Final = usage_data.get("total_tokens", 0)
@ -347,7 +397,7 @@ class OpenRouterImageEditConfig(BaseImageEditConfig):
)
response_cost_details.update(cost_details)
model_response.hidden_params["model"] = response_json.get("model", model)
model_response.hidden_params["model"] = payload.get("model", model)
def _read_image_bytes(self, image: FileTypes) -> bytes:
"""Read raw bytes from various image input types."""

View file

@ -2,6 +2,8 @@ from collections.abc import Mapping
from typing import TYPE_CHECKING, Any, Final
import httpx
from pydantic import ConfigDict, RootModel, with_config
from typing_extensions import NotRequired, ReadOnly, TypedDict
from litellm.llms.base_llm.vector_store.transformation import BaseVectorStoreConfig
from litellm.secret_managers.main import get_secret_str
@ -22,6 +24,25 @@ else:
LiteLLMLoggingObj = Any
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _RAGFlowDataset(TypedDict):
id: ReadOnly[NotRequired[str | None]]
name: ReadOnly[NotRequired[str | None]]
create_time: ReadOnly[NotRequired[int | float | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _RAGFlowCreateResponse(TypedDict):
data: ReadOnly[NotRequired[_RAGFlowDataset]]
class _RAGFlowCreateResponseRoot(RootModel[_RAGFlowCreateResponse]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
_RAGFLOW_EMPTY_DATA: Final[_RAGFlowDataset] = {}
class RAGFlowVectorStoreConfig(BaseVectorStoreConfig):
"""Vector store configuration for RAGFlow datasets."""
@ -185,7 +206,8 @@ class RAGFlowVectorStoreConfig(BaseVectorStoreConfig):
headers=response.headers,
)
data: Final = response_json.get("data", {})
create_response: Final = _RAGFlowCreateResponseRoot.model_validate(response_json).root
data: Final = create_response.get("data", _RAGFLOW_EMPTY_DATA)
# Extract dataset ID
dataset_id: Final = data.get("id")

View file

@ -4,7 +4,8 @@ from collections.abc import AsyncIterator, Iterator, Mapping
from typing import Final
import httpx
from pydantic import ConfigDict, TypeAdapter
from pydantic import ConfigDict, RootModel, TypeAdapter, with_config
from typing_extensions import ReadOnly, Required, TypedDict
import litellm
from litellm import verbose_logger
@ -15,6 +16,38 @@ from litellm.types.utils import StreamingChatCompletionChunk
_JSON_OBJECT: Final = TypeAdapter(Mapping[str, object], config=ConfigDict(hide_input_in_errors=True))
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _SageMakerToken(TypedDict, total=False):
text: ReadOnly[str | None]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _SageMakerChunkData(TypedDict, total=False):
token: ReadOnly[_SageMakerToken | None]
index: ReadOnly[int | None]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _SageMakerMessagesChunkData(TypedDict, total=False):
choices: ReadOnly[Required[list[Mapping[str, object]]]]
class _SageMakerChunkDataRoot(RootModel[_SageMakerChunkData]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
class _SageMakerMessagesChunkDataRoot(RootModel[_SageMakerMessagesChunkData]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
def _parse_sagemaker_chunk_data(data: str) -> _SageMakerChunkData:
return _SageMakerChunkDataRoot.model_validate(json.loads(data)).root
def _parse_sagemaker_messages_chunk_data(data: str) -> _SageMakerMessagesChunkData:
return _SageMakerMessagesChunkDataRoot.model_validate(json.loads(data)).root
def _load_sagemaker_response_stream_shape():
try:
from botocore.loaders import Loader
@ -62,12 +95,12 @@ class AWSEventStreamDecoder:
self.content_blocks: list = []
self.is_messages_api = is_messages_api
def _chunk_parser_messages_api(self, chunk_data: dict) -> StreamingChatCompletionChunk:
def _chunk_parser_messages_api(self, chunk_data: _SageMakerMessagesChunkData) -> StreamingChatCompletionChunk:
openai_chunk: Final = StreamingChatCompletionChunk(**{"model": self.model, **chunk_data})
return openai_chunk
def _chunk_parser(self, chunk_data: dict) -> GChunk:
def _chunk_parser(self, chunk_data: _SageMakerChunkData) -> GChunk:
verbose_logger.debug("in sagemaker chunk parser, chunk_data %s", chunk_data)
_token: Final = chunk_data.get("token", {}) or {}
_index: Final = chunk_data.get("index", None) or 0
@ -113,11 +146,12 @@ class AWSEventStreamDecoder:
# Try to parse the accumulated JSON
try:
_data = json.loads(accumulated_json)
if self.is_messages_api:
yield self._chunk_parser_messages_api(chunk_data=_data)
yield self._chunk_parser_messages_api(
chunk_data=_parse_sagemaker_messages_chunk_data(accumulated_json)
)
else:
yield self._chunk_parser(chunk_data=_data)
yield self._chunk_parser(chunk_data=_parse_sagemaker_chunk_data(accumulated_json))
# Reset accumulated_json after successful parsing
accumulated_json = ""
except json.JSONDecodeError:
@ -127,11 +161,12 @@ class AWSEventStreamDecoder:
# Handle any remaining data after the iterator is exhausted
if accumulated_json:
try:
_data = json.loads(accumulated_json)
if self.is_messages_api:
yield self._chunk_parser_messages_api(chunk_data=_data)
yield self._chunk_parser_messages_api(
chunk_data=_parse_sagemaker_messages_chunk_data(accumulated_json)
)
else:
yield self._chunk_parser(chunk_data=_data)
yield self._chunk_parser(chunk_data=_parse_sagemaker_chunk_data(accumulated_json))
except json.JSONDecodeError:
# Handle or log any unparseable data at the end
verbose_logger.error("Warning: Unparseable JSON data remained: %s", accumulated_json)
@ -161,11 +196,12 @@ class AWSEventStreamDecoder:
accumulated_json += message
# Try to parse the accumulated JSON
_data = json.loads(accumulated_json)
if self.is_messages_api:
yield self._chunk_parser_messages_api(chunk_data=_data)
yield self._chunk_parser_messages_api(
chunk_data=_parse_sagemaker_messages_chunk_data(accumulated_json)
)
else:
yield self._chunk_parser(chunk_data=_data)
yield self._chunk_parser(chunk_data=_parse_sagemaker_chunk_data(accumulated_json))
# Reset accumulated_json after successful parsing
accumulated_json = ""
except json.JSONDecodeError:
@ -181,11 +217,12 @@ class AWSEventStreamDecoder:
# Handle any remaining data after the iterator is exhausted
if accumulated_json:
try:
_data = json.loads(accumulated_json)
if self.is_messages_api:
yield self._chunk_parser_messages_api(chunk_data=_data)
yield self._chunk_parser_messages_api(
chunk_data=_parse_sagemaker_messages_chunk_data(accumulated_json)
)
else:
yield self._chunk_parser(chunk_data=_data)
yield self._chunk_parser(chunk_data=_parse_sagemaker_chunk_data(accumulated_json))
except json.JSONDecodeError:
# Handle or log any unparseable data at the end
verbose_logger.error("Warning: Unparseable JSON data remained: %s", accumulated_json)

View file

@ -1,6 +1,9 @@
from collections.abc import Sequence
from typing import Final, Literal
import httpx
from pydantic import ConfigDict, RootModel, with_config
from typing_extensions import NotRequired, ReadOnly, TypedDict
import litellm
from litellm._logging import verbose_logger
@ -13,10 +16,6 @@ from litellm.llms.custom_httpx.http_handler import (
get_async_httpx_client,
)
from litellm.llms.openai.openai import AllMessageValues
from litellm.types.llms.vertex_ai import (
CachedContentListAllResponseBody,
VertexAICachedContentResponseObject,
)
from litellm.utils import is_prompt_caching_valid_prompt
from ..common_utils import VertexAIError, get_vertex_base_url
@ -32,6 +31,31 @@ local_cache_obj: Final = Cache(type=LiteLLMCacheType.LOCAL) # only used for cal
MAX_PAGINATION_PAGES: Final = 100 # Reasonable upper bound for pagination
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _CachedContentItem(TypedDict):
displayName: ReadOnly[NotRequired[object]]
name: ReadOnly[NotRequired[str | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _CachedContentListBody(TypedDict):
cachedContents: ReadOnly[NotRequired[Sequence[_CachedContentItem]]]
nextPageToken: ReadOnly[NotRequired[str | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _CreatedCachedContent(TypedDict):
name: ReadOnly[NotRequired[str | None]]
class _CachedContentListBodyRoot(RootModel[_CachedContentListBody]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
class _CreatedCachedContentRoot(RootModel[_CreatedCachedContent]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
class ContextCachingEndpoints(VertexBase):
"""
Covers context caching endpoints for Vertex AI + Google AI Studio
@ -157,25 +181,20 @@ class ContextCachingEndpoints(VertexBase):
except Exception as e:
raise VertexAIError(status_code=500, message=str(e))
raw_response = resp.json()
raw_response = _CachedContentListBodyRoot.model_validate(resp.json()).root
logging_obj.post_call(original_response=raw_response)
if "cachedContents" not in raw_response:
return None
all_cached_items = CachedContentListAllResponseBody(**raw_response)
if "cachedContents" not in all_cached_items:
return None
# Check current page for matching cache_key
for cached_item in all_cached_items["cachedContents"]:
for cached_item in raw_response["cachedContents"]:
display_name = cached_item.get("displayName")
if display_name is not None and display_name == cache_key:
return cached_item.get("name")
# Check if there are more pages
page_token = all_cached_items.get("nextPageToken")
page_token = raw_response.get("nextPageToken")
if not page_token:
# No more pages, cache not found
break
@ -249,25 +268,20 @@ class ContextCachingEndpoints(VertexBase):
except Exception as e:
raise VertexAIError(status_code=500, message=str(e))
raw_response = resp.json()
raw_response = _CachedContentListBodyRoot.model_validate(resp.json()).root
logging_obj.post_call(original_response=raw_response)
if "cachedContents" not in raw_response:
return None
all_cached_items = CachedContentListAllResponseBody(**raw_response)
if "cachedContents" not in all_cached_items:
return None
# Check current page for matching cache_key
for cached_item in all_cached_items["cachedContents"]:
for cached_item in raw_response["cachedContents"]:
display_name = cached_item.get("displayName")
if display_name is not None and display_name == cache_key:
return cached_item.get("name")
# Check if there are more pages
page_token = all_cached_items.get("nextPageToken")
page_token = raw_response.get("nextPageToken")
if not page_token:
# No more pages, cache not found
break
@ -424,14 +438,11 @@ class ContextCachingEndpoints(VertexBase):
except httpx.TimeoutException:
raise VertexAIError(status_code=408, message="Timeout error occurred.")
raw_response_cached: Final = response.json()
cached_content_response_obj: Final = VertexAICachedContentResponseObject(
name=raw_response_cached.get("name"), model=raw_response_cached.get("model")
)
raw_response_cached: Final = _CreatedCachedContentRoot.model_validate(response.json()).root
return (
non_cached_messages,
optional_params,
cached_content_response_obj["name"],
raw_response_cached.get("name"),
)
async def async_check_and_create_cache(
@ -580,14 +591,11 @@ class ContextCachingEndpoints(VertexBase):
except httpx.TimeoutException:
raise VertexAIError(status_code=408, message="Timeout error occurred.")
raw_response_cached: Final = response.json()
cached_content_response_obj: Final = VertexAICachedContentResponseObject(
name=raw_response_cached.get("name"), model=raw_response_cached.get("model")
)
raw_response_cached: Final = _CreatedCachedContentRoot.model_validate(response.json()).root
return (
non_cached_messages,
optional_params,
cached_content_response_obj["name"],
raw_response_cached.get("name"),
)
def get_cache(self):

View file

@ -2209,10 +2209,10 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
@staticmethod
def _set_stream_metadata_on_response(
model_response: Any,
grounding_metadata: list[dict],
url_context_metadata: list[dict],
safety_ratings: list[dict],
citation_metadata: list[dict],
grounding_metadata: Sequence[Mapping[str, object]],
url_context_metadata: Sequence[Mapping[str, object]],
safety_ratings: Sequence[Mapping[str, object]],
citation_metadata: Sequence[Mapping[str, object]],
) -> None:
setattr(model_response, "vertex_ai_grounding_metadata", grounding_metadata)
if grounding_metadata:

View file

@ -141,6 +141,7 @@ from litellm.types.utils import (
ModelResponseStream,
RawRequestTypedDict,
StreamingChoices,
is_decisions_model_mode,
)
from litellm.types.workload_identity import ANTHROPIC_WIF_KWARGS_KEYS, OPENAI_WIF_KWARGS_KEYS
from litellm.utils import (
@ -8821,8 +8822,9 @@ async def ahealth_check(
input=input,
)
if mode in mode_handlers:
_response: Final = await mode_handlers[mode]()
handler_mode: Final = "decisions" if is_decisions_model_mode(mode) else mode
if handler_mode in mode_handlers:
_response: Final = await mode_handlers[handler_mode]()
_response_headers: Final = cast( # cast-ok: provider headers are stored as a string-keyed mapping
Mapping[str, object], (get_hidden_params(_response) or {}).get("headers", {}) or {}
)

View file

@ -99,22 +99,22 @@
"input_cost_per_token": 2e-06,
"litellm_provider": "bedrock",
"max_input_tokens": 256000,
"max_output_tokens": 256000,
"max_tokens": 256000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 8e-06,
"source": "https://aws.amazon.com/bedrock/pricing/"
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-ai21-labs-jamba-1-5-large.md"
},
"ai21.jamba-1-5-mini-v1:0": {
"deprecation_date": "2026-11-26",
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"input_cost_per_token_batches": 1.2e-07,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"max_input_tokens": 1000000,
"max_output_tokens": 8192,
"max_tokens": 8192,
"mode": "chat",
"output_cost_per_token": 9.7e-07,
"output_cost_per_token_batches": 4.85e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.md",
"supported_modalities": [
"text",
"image"
@ -38535,15 +38600,17 @@
"supports_tool_choice": false
},
"meta.llama4-scout-17b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 1.7e-07,
"input_cost_per_token_batches": 8.5e-08,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"max_input_tokens": 10000000,
"max_output_tokens": 8192,
"max_tokens": 8192,
"mode": "chat",
"output_cost_per_token": 6.6e-07,
"output_cost_per_token_batches": 3.3e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md",
"supported_modalities": [
"text",
"image"
@ -39115,25 +39182,26 @@
"supports_vision": true
},
"mistral.mistral-7b-instruct-v0:2": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 1.5e-07,
"litellm_provider": "bedrock",
"max_input_tokens": 32000,
"max_output_tokens": 8191,
"max_tokens": 8191,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 2e-07,
"source": "https://aws.amazon.com/bedrock/pricing/",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-mistral-ai-mistral-7b-instruct.md",
"supports_tool_choice": true
},
"mistral.mistral-large-2402-v1:0": {
"input_cost_per_token": 4e-06,
"litellm_provider": "bedrock",
"max_input_tokens": 32000,
"max_output_tokens": 8191,
"max_tokens": 8191,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 1.2e-05,
"source": "https://aws.amazon.com/bedrock/pricing/",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-mistral-ai-mistral-large.md",
"supports_function_calling": true
},
"mistral.mistral-large-2407-v1:0": {
@ -39171,23 +39239,24 @@
"input_cost_per_token_batches": 5e-07,
"litellm_provider": "bedrock",
"max_input_tokens": 32000,
"max_output_tokens": 8191,
"max_tokens": 8191,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 3e-06,
"output_cost_per_token_batches": 1.5e-06,
"source": "https://aws.amazon.com/bedrock/pricing/",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-mistral-ai-mistral-small.md",
"supports_function_calling": true
},
"mistral.mixtral-8x7b-instruct-v0:1": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 4.5e-07,
"litellm_provider": "bedrock",
"max_input_tokens": 32000,
"max_output_tokens": 8191,
"max_tokens": 8191,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 7e-07,
"source": "https://aws.amazon.com/bedrock/pricing/",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-mistral-ai-mixtral-8x7b-instruct.md",
"supports_tool_choice": true
},
"mistral.voxtral-mini-3b-2507": {
@ -46292,25 +46361,28 @@
"supports_tool_choice": false
},
"us.meta.llama3-1-70b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 7.2e-07,
"litellm_provider": "bedrock",
"max_input_tokens": 128000,
"max_output_tokens": 2048,
"max_tokens": 2048,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 7.2e-07,
"source": "https://b0.p.awsstatic.com/pricing/2.0/meteredUnitMaps/bedrock/USD/current/bedrock.json",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-3-1-70b-instruct.md",
"supports_function_calling": true,
"supports_tool_choice": false
},
"us.meta.llama3-1-8b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 2.2e-07,
"litellm_provider": "bedrock",
"max_input_tokens": 128000,
"max_output_tokens": 2048,
"max_tokens": 2048,
"max_output_tokens": 4096,
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 2.2e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-3-1-8b-instruct.md",
"supports_function_calling": true,
"supports_tool_choice": false
},
@ -46363,6 +46435,7 @@
"supports_vision": true
},
"us.meta.llama3-3-70b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 7.2e-07,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
@ -46370,19 +46443,22 @@
"max_tokens": 4096,
"mode": "chat",
"output_cost_per_token": 7.2e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-3-3-70b-instruct.md",
"supports_function_calling": true,
"supports_tool_choice": false
},
"us.meta.llama4-maverick-17b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 2.4e-07,
"input_cost_per_token_batches": 1.2e-07,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"max_input_tokens": 1000000,
"max_output_tokens": 8192,
"max_tokens": 8192,
"mode": "chat",
"output_cost_per_token": 9.7e-07,
"output_cost_per_token_batches": 4.85e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.md",
"supported_modalities": [
"text",
"image"
@ -46395,15 +46471,17 @@
"supports_tool_choice": false
},
"us.meta.llama4-scout-17b-instruct-v1:0": {
"deprecation_date": "2027-03-30",
"input_cost_per_token": 1.7e-07,
"input_cost_per_token_batches": 8.5e-08,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"max_input_tokens": 10000000,
"max_output_tokens": 8192,
"max_tokens": 8192,
"mode": "chat",
"output_cost_per_token": 6.6e-07,
"output_cost_per_token_batches": 3.3e-07,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md",
"supported_modalities": [
"text",
"image"
@ -46419,11 +46497,11 @@
"input_cost_per_token": 2e-06,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"max_tokens": 4096,
"max_output_tokens": 16384,
"max_tokens": 16384,
"mode": "chat",
"output_cost_per_token": 6e-06,
"source": "https://aws.amazon.com/bedrock/pricing/",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-mistral-ai-pixtral-large.md",
"supports_function_calling": true,
"supports_tool_choice": false
},
@ -51070,8 +51148,8 @@
"input_cost_per_token_flex": 3e-07,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 203000,
"max_output_tokens": 4000,
"max_tokens": 4000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"output_cost_per_token": 2.2e-06,
"output_cost_per_token_flex": 1.1e-06,
@ -51079,7 +51157,7 @@
"supports_reasoning": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-zai-glm-4-7.html",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-zai-glm-4-7.md",
"supports_audio_input": false,
"supports_response_schema": true,
"supports_vision": false
@ -51108,8 +51186,8 @@
"input_cost_per_token_flex": 3.5e-08,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 203000,
"max_output_tokens": 4000,
"max_tokens": 4000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"output_cost_per_token": 4e-07,
"output_cost_per_token_flex": 2e-07,
@ -51117,7 +51195,7 @@
"supports_reasoning": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-zai-glm-4-7-flash.html",
"source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-zai-glm-4-7-flash.md",
"supports_audio_input": false,
"supports_response_schema": true,
"supports_vision": false
@ -63553,7 +63631,7 @@
},
"azure_ai/kimi-k2.7-code": {
"cache_read_input_token_cost": 1.9e-07,
"deprecation_date": "2026-10-03",
"deprecation_date": "2027-04-16",
"input_cost_per_token": 9.5e-07,
"litellm_provider": "azure_ai",
"max_input_tokens": 262144,

View file

@ -1546,6 +1546,31 @@ class MCPRequestHandler:
authorization: Final = next((value for key, value in headers.items() if key.lower() == "authorization"), "")
return SecretStr(authorization[len("bearer ") :]) if authorization.lower().startswith("bearer ") else None
@staticmethod
def get_guardrail_bearer_token(headers: Headers, auth: UserAPIKeyAuth) -> SecretStr | None:
from litellm.proxy._experimental.mcp_server.utils import (
_custom_litellm_key_header_name, # pyright: ignore[reportPrivateUsage] # reuse the shared credential-header setting
)
bearer: Final = MCPRequestHandler.get_incoming_bearer_token(headers)
if bearer is None:
return None
value: Final = bearer.get_secret_value()
if MCPRequestHandler._is_gateway_admission_credential(value):
return None
if MCPRequestHandler._is_caller_admission_key(
value, auth.api_key
) or MCPRequestHandler._is_caller_admission_key(hash_token(value), auth.api_key):
return None
admitted_credential: Final = MCPRequestHandler.caller_admission_credential(
headers,
auth,
custom_key_header_name=_custom_litellm_key_header_name(),
)
if not auth.jwt_claims and MCPRequestHandler._is_caller_admission_key(value, admitted_credential):
return None
return bearer
@staticmethod
def get_oauth2_headers_from_headers(headers: Headers) -> dict[str, str]:
"""

View file

@ -412,7 +412,7 @@ if MCP_AVAILABLE:
raw_headers=virtual_raw_headers,
litellm_logging_obj=virtual_logging_obj,
guardrail_context=MCPRequestContext.resolve_guardrail_context(virtual_data),
incoming_bearer_token=MCPRequestHandler.get_incoming_bearer_token(request.headers),
incoming_bearer_token=MCPRequestHandler.get_guardrail_bearer_token(request.headers, user_api_key_dict),
)
except Exception as e:
virtual_request_data: Final = virtual_processor.data
@ -1346,7 +1346,9 @@ if MCP_AVAILABLE:
litellm_logging_obj=data.get("litellm_logging_obj"),
guardrail_context=MCPRequestContext.resolve_guardrail_context(data),
requested_server_id=canonical_server_id,
incoming_bearer_token=MCPRequestHandler.get_incoming_bearer_token(request.headers),
incoming_bearer_token=MCPRequestHandler.get_guardrail_bearer_token(
request.headers, user_api_key_dict
),
)
result: Final = complete_call_tool_result(executed, WireCompat.LEGACY)
except Exception as e:

View file

@ -855,7 +855,7 @@ if MCP_AVAILABLE:
wire_compat_for(ctx.protocol_version),
ctx.protocol_version,
incoming_bearer_token=(
MCPRequestHandler.get_incoming_bearer_token(request.headers)
MCPRequestHandler.get_guardrail_bearer_token(request.headers, auth)
if isinstance(request, StarletteRequest)
else None
),

View file

@ -5,6 +5,8 @@ from typing import TYPE_CHECKING, Any, ClassVar, Final, Literal
import httpx
from fastapi import HTTPException
from pydantic import ConfigDict, RootModel, with_config
from typing_extensions import NotRequired, ReadOnly, TypedDict
if TYPE_CHECKING:
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
@ -65,6 +67,55 @@ from litellm.types.utils import (
GUARDRAIL_NAME: Final = "model_armor"
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _MatchResult(TypedDict):
matchState: NotRequired[ReadOnly[str]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _DeidentifyData(TypedDict):
text: NotRequired[ReadOnly[str]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _DeidentifyResult(TypedDict):
matchState: NotRequired[ReadOnly[str]]
data: NotRequired[ReadOnly[_DeidentifyData]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _SdpResult(TypedDict):
inspectResult: NotRequired[ReadOnly[_MatchResult]]
deidentifyResult: NotRequired[ReadOnly[_DeidentifyResult]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _Filter(TypedDict):
raiFilterResult: NotRequired[ReadOnly[_MatchResult]]
piAndJailbreakFilterResult: NotRequired[ReadOnly[_MatchResult]]
maliciousUriFilterResult: NotRequired[ReadOnly[_MatchResult]]
csamFilterFilterResult: NotRequired[ReadOnly[_MatchResult]]
virusScanFilterResult: NotRequired[ReadOnly[_MatchResult]]
sdpFilterResult: NotRequired[ReadOnly[_SdpResult | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _SanitizationResult(TypedDict):
filterResults: NotRequired[ReadOnly[Mapping[str, _Filter] | Sequence[_Filter] | str | int | float | bool | None]]
@with_config(ConfigDict(extra="allow", strict=True, hide_input_in_errors=True))
class _ModelArmorResponse(TypedDict):
sanitizationResult: NotRequired[ReadOnly[_SanitizationResult]]
sanitizedText: NotRequired[ReadOnly[str | None]]
text: NotRequired[ReadOnly[str | None]]
class _ModelArmorResponseRoot(RootModel[_ModelArmorResponse]):
model_config = ConfigDict(frozen=True, hide_input_in_errors=True)
# Only these carry the finished output; response.created carries an empty body
_RESPONSES_TERMINAL_EVENT_TYPES: Final = frozenset({"response.completed", "response.incomplete", "response.failed"})
@ -99,10 +150,11 @@ class ModelArmorAPIError(Exception):
_SCANNED_CONTENT_KEYS: Final = frozenset({"text", "sanitizedText", "findings", "maliciousUriMatchedItems"})
RedactablePayload = dict | list | str | int | float | bool | None
def _redact_scanned_content(payload: RedactablePayload, depth: int = 0) -> RedactablePayload:
def _redact_scanned_content(payload: object, depth: int = 0) -> object:
if depth >= DEFAULT_MAX_RECURSE_DEPTH:
return "[REDACTED]"
if isinstance(payload, dict):
@ -223,12 +275,12 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
return f"Model Armor API error (upstream {status_code})"
return f"Model Armor API error (upstream {status_code}): {response_text}"
def _build_block_error_detail(self, message: str, armor_response: RedactablePayload) -> dict:
def _build_block_error_detail(self, message: str, armor_response: Mapping[str, object]) -> dict:
if self.sanitize_error_detail:
return {"error": message}
return {"error": message, "model_armor_response": armor_response}
def _build_logging_response(self, armor_response: RedactablePayload) -> RedactablePayload:
def _build_logging_response(self, armor_response: Mapping[str, object]) -> object:
if self.sanitize_error_detail:
return _redact_scanned_content(armor_response)
return armor_response
@ -286,7 +338,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
request_data: dict | None = None,
file_bytes: bytes | None = None,
file_type: str | None = None,
) -> dict:
) -> _ModelArmorResponse:
"""
Make request to Model Armor API. Supports both text and file prompt sanitization.
If file_bytes and file_type are provided, file prompt sanitization is performed.
@ -361,8 +413,8 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
json_response: Final = response.json()
if hasattr(json_response, "__await__"):
return await json_response
return json_response
return _ModelArmorResponseRoot.model_validate(await json_response).root
return _ModelArmorResponseRoot.model_validate(json_response).root
def sanitize_file_prompt(self, file_bytes: bytes, file_type: str, source: str = "user_prompt") -> dict:
"""
@ -378,7 +430,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
else:
return {"modelResponseData": {"byteItem": {"byteDataType": file_type, "byteData": base64_data}}}
def _should_block_content(self, armor_response: Mapping[str, object], allow_sanitization: bool = False) -> bool:
def _should_block_content(self, armor_response: _ModelArmorResponse, allow_sanitization: bool = False) -> bool:
"""Check if Model Armor response indicates content should be blocked, including both inspectResult and deidentifyResult."""
for filt in self._filter_result_items(armor_response):
# Check RAI, PI/Jailbreak, Malicious URI, CSAM, Virus scan as before
@ -404,7 +456,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
# Fallback dict code removed; all cases handled above
return False
def _get_sanitized_content(self, armor_response: Mapping[str, Any]) -> str | None:
def _get_sanitized_content(self, armor_response: _ModelArmorResponse) -> str | None:
"""
Get the sanitized content from a Model Armor response, if available.
Looks for sanitized text in deidentifyResult, and falls back to root-level fields if not found.
@ -434,7 +486,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
return armor_response.get("sanitizedText") or armor_response.get("text")
@staticmethod
def _filter_result_items(armor_response: Mapping[str, Any]) -> Sequence[Any]:
def _filter_result_items(armor_response: _ModelArmorResponse) -> Sequence[_Filter]:
"""Every filter result in a scan response.
filterResults is a dict of named filters on most templates and a list on some, so both
@ -447,7 +499,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
return filter_results
return []
def _has_deidentify_match(self, armor_response: Mapping[str, object]) -> bool:
def _has_deidentify_match(self, armor_response: _ModelArmorResponse) -> bool:
"""Whether an SDP de-identify filter matched, i.e. Model Armor owes this response a redaction."""
for filter_entry in self._filter_result_items(armor_response):
sdp = filter_entry.get("sdpFilterResult")
@ -457,7 +509,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
def _resolve_streaming_outcome(
self,
armor_response: Mapping[str, object],
armor_response: _ModelArmorResponse,
assembled_response: object,
content: str,
) -> tuple[bool, str | None]:
@ -489,7 +541,7 @@ class ModelArmorGuardrail(CustomGuardrail, VertexBase):
return False, sanitized_content
@staticmethod
def _append_armor_response(existing: object, armor_response: Mapping[str, object]) -> object:
def _append_armor_response(existing: object, armor_response: object) -> object:
"""Accumulate scan responses so a later text scan does not drop an earlier file scan.
Returns the single response on its own (backward compatible) and a list once a request

View file

@ -2091,6 +2091,7 @@ async def test_model_connection(
"anthropic_messages",
"ocr",
"evaluation",
"decisions",
]
| None = fastapi.Body(
None,

View file

@ -245,7 +245,7 @@ class _TransactionFactory(Protocol):
class _ModelTransactionClient(LiteLLMBaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True)
model_config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True, hide_input_in_errors=True)
tx: _TransactionFactory
@ -1856,8 +1856,8 @@ async def delete_team_models(
Returns the model_ids that were deleted.
"""
deleted_model_ids: Final[list[str]] = []
async with prisma_client.db.tx() as tx_ctx:
tx: Final[_TxModelTables] = tx_ctx
transaction_client: Final = _ModelTransactionClient.model_validate(prisma_client.db)
async with transaction_client.tx() as tx:
for team_id in team_ids:
rows = await _get_team_deployments(team_id, prisma_client, table=tx.litellm_proxymodeltable)
model_ids = [row.model_id for row in rows]

View file

@ -41,7 +41,7 @@ if TYPE_CHECKING:
import jwt
from fastapi import APIRouter, Depends, Header, HTTPException, Request, Response, status
from fastapi.responses import RedirectResponse
from pydantic import TypeAdapter, ValidationError
from pydantic import ConfigDict, TypeAdapter, ValidationError
import litellm
from litellm._internal_context import with_service_target
@ -237,6 +237,12 @@ class CliSsoTeamDetail(LiteLLMBaseModel):
_CLI_SSO_TEAM_DETAILS_ADAPTER: Final = TypeAdapter(tuple[CliSsoTeamDetail, ...])
_CLI_SSO_FLOW_JSON_ADAPTER: Final[TypeAdapter[dict[str, object]]] = TypeAdapter(
dict[str, object], config=ConfigDict(strict=True, hide_input_in_errors=True)
)
_SSO_USERINFO_RESPONSE_ADAPTER: Final[TypeAdapter[dict[str, object] | None]] = TypeAdapter(
dict[str, object] | None, config=ConfigDict(strict=True, hide_input_in_errors=True)
)
_TEAMLESS_CLI_SSO_TEAM_DETAIL: Final = CliSsoTeamDetail(team_models=())
@ -371,7 +377,7 @@ def _get_cli_sso_flow_or_raise(login_id: str | None, cache: DualCache) -> dict:
flow = _read_cli_sso_flow(cache, _get_cli_sso_flow_cache_key(cast(str, login_id)))
if isinstance(flow, str):
try:
flow = _as_object(json.loads(flow))
flow = _CLI_SSO_FLOW_JSON_ADAPTER.validate_python(json.loads(flow))
except ValueError:
flow = None
if not isinstance(flow, dict) or "poll_secret_hash" not in flow:
@ -4199,7 +4205,7 @@ class SSOAuthenticationHandler:
)
if resp.status_code == 200:
try:
userinfo_raw: Final[dict[str, object] | None] = resp.json()
userinfo_raw: Final = _SSO_USERINFO_RESPONSE_ADAPTER.validate_python(resp.json())
if not userinfo_raw:
# JSON null (None) or empty dict ({}) — no identity claims.
# Treat as failure so id_token fallback can be attempted.

View file

@ -76,6 +76,7 @@ class _MemberOpenSourceClassifierConfig(LiteLLMBaseModel):
model_config = ConfigDict(extra="forbid")
deployment_name: str | None = None
provider: Literal["jev", "laya", "bespoke", "databricks"] = "jev"
model: str
api_key: None = None

View file

@ -7434,7 +7434,7 @@ class ProxyConfig:
else:
raise ValueError("Invalid Key Management System selected")
from litellm.rust_bridge.secret_manager import capture_secret_manager
from litellm.rust_bridge.host.secret_manager import capture_secret_manager
if litellm.secret_manager_client is not previous_client:
capture_secret_manager(litellm.secret_manager_client, key_management_system)

View file

@ -6,8 +6,9 @@ from collections.abc import Awaitable, Callable, Mapping, Sequence
from importlib.resources import files
from typing import TYPE_CHECKING, Final, Protocol
import httpx
from fastapi import APIRouter, HTTPException, Request
from pydantic import TypeAdapter
from pydantic import TypeAdapter, ValidationError
from typing_extensions import ReadOnly, TypedDict
import litellm
@ -37,6 +38,7 @@ from litellm.types.proxy.public_endpoints.public_endpoints import (
ProviderCreateInfo,
PublicModelHubInfo,
SupportedEndpointsResponse,
WhatsNewResponse,
)
from litellm.types.utils import LlmProviders
@ -505,14 +507,18 @@ def _load_bundled_autorouter_presets() -> Mapping[str, AutoRouterPresetRecord]:
)
async def _fetch_remote_autorouter_presets(url: str) -> Mapping[str, AutoRouterPresetRecord]:
async def _fetch_remote_bytes(url: str) -> bytes:
from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
from litellm.types.llms.custom_http import httpxSpecialProvider
client: Final = get_async_httpx_client(llm_provider=httpxSpecialProvider.UI)
response: Final = await client.get(url, timeout=5.0)
response.raise_for_status()
presets: Final = _AUTOROUTER_PRESETS_ADAPTER.validate_python(response.json())
return response.content
async def _fetch_remote_autorouter_presets(url: str) -> Mapping[str, AutoRouterPresetRecord]:
presets: Final = _AUTOROUTER_PRESETS_ADAPTER.validate_json(await _fetch_remote_bytes(url))
if not presets:
raise ValueError("remote auto-router preset catalog is empty")
return presets
@ -575,6 +581,70 @@ async def get_public_autorouter_presets() -> Mapping[str, AutoRouterPresetRecord
return await get_autorouter_presets(url=litellm.autorouter_presets_url)
def _load_bundled_whats_new() -> WhatsNewResponse:
return WhatsNewResponse.model_validate_json(
files("litellm.proxy.public_endpoints").joinpath("whats_new.json").read_text(encoding="utf-8")
)
async def _fetch_remote_whats_new(url: str) -> WhatsNewResponse:
return WhatsNewResponse.model_validate_json(await _fetch_remote_bytes(url))
async def _resolve_whats_new(url: str | None, fetch: Callable[[str], Awaitable[WhatsNewResponse]]) -> WhatsNewResponse:
if url is None or os.getenv("LITELLM_LOCAL_WHATS_NEW", "").lower() == "true":
return _load_bundled_whats_new()
try:
return await fetch(url)
except (httpx.HTTPError, ValidationError, OSError) as e:
verbose_logger.warning(
"LiteLLM: failed to fetch What's new launches from %s: %s. Serving the bundled list for the life of this process.",
url,
str(e),
)
return _load_bundled_whats_new()
class _WhatsNewCache:
launches: WhatsNewResponse | None = None
lock: asyncio.Lock | None = None
async def get_whats_new(
url: str | None,
fetch: Callable[[str], Awaitable[WhatsNewResponse]] = _fetch_remote_whats_new,
) -> WhatsNewResponse:
cached: Final = _WhatsNewCache.launches
if cached is not None:
return cached
if _WhatsNewCache.lock is None:
_WhatsNewCache.lock = asyncio.Lock()
async with _WhatsNewCache.lock:
held: Final = _WhatsNewCache.launches
if held is not None:
return held
resolved: Final = await _resolve_whats_new(url=url, fetch=fetch)
_WhatsNewCache.launches = resolved
return resolved
@router.get(
"/public/whats_new",
tags=["public"],
response_model=WhatsNewResponse,
)
async def get_public_whats_new() -> WhatsNewResponse:
"""
Return the launches the dashboard Home page shows under What's new.
Serves the list bundled with this release. Set ``LITELLM_WHATS_NEW_URL`` to fetch a remote list instead,
resolved once per process on the first request and falling back to the bundled list on any failure, so an
airgapped proxy serves the bundled list without retrying. ``LITELLM_LOCAL_WHATS_NEW=True`` forces the
bundled list even when a URL is set. A restart picks up a newly published list.
"""
return await get_whats_new(url=litellm.whats_new_url)
@router.get(
"/public/endpoints",
tags=["public"],

View file

@ -0,0 +1,25 @@
{
"launches": [
{
"icon": "box",
"title": "Claude Haiku 5.5",
"description": "Anthropic's newest small model, with day 0 pricing on Anthropic, Bedrock and Vertex AI.",
"href": "https://docs.litellm.ai/blog/claude-haiku-5-5",
"published_on": "2026-10-07"
},
{
"icon": "scale",
"title": "Decision Models",
"description": "Call decision models at /v1/decisions and try them in the Decisions playground.",
"href": "https://docs.litellm.ai/docs/decisions",
"published_on": "2026-10-07"
},
{
"icon": "zap",
"title": "OpenAI Ultrafast",
"description": "service_tier: ultrafast on GPT-6 Astra and GPT-6.1 Sol, including /ultrafast in Codex.",
"href": "https://docs.litellm.ai/docs/providers/openai/ultrafast",
"published_on": "2026-10-06"
}
]
}

View file

@ -123,6 +123,7 @@ from .jev_classifier import (
HttpJevClassifierClient,
JevClassifierClient,
JevVerdict,
RouterJevClassifierClient,
build_jev_request,
jev_classifier_cost,
)
@ -1331,8 +1332,9 @@ class ComplexityRouter(CustomLogger):
- Question complexity (multiple questions)
"""
@staticmethod
def _build_jev_client(config: OpenSourceClassifierConfig) -> JevClassifierClient:
def _build_jev_client(self, config: OpenSourceClassifierConfig) -> JevClassifierClient:
if config.deployment_name is not None:
return RouterJevClassifierClient(self.litellm_router_instance, config.deployment_name)
if config.provider in ("laya", "bespoke"):
from litellm.llms.oss_decision import oss_connection
@ -2318,13 +2320,23 @@ class ComplexityRouter(CustomLogger):
if not self._tier_pools().get(tier_name):
raise ValueError(f"Jev classifier returned tier {tier_name!r}, which has no models configured")
model: Final = response.model or config.model
accounting_provider: Final = "typesafe" if config.provider == "jev" else config.provider
accounting_provider: Final = (
response.classifier_provider
if config.deployment_name and response.classifier_provider
else "typesafe"
if config.provider == "jev"
else config.provider
)
verdict: Final = JevVerdict(
label=answer.choice,
probabilities=answer.probabilities,
confidence=answer.confidence,
model=model,
cost=jev_classifier_cost(response, config.model, accounting_provider),
cost=response.classifier_cost
if config.deployment_name
else jev_classifier_cost(
response, config.model, "typesafe" if config.provider == "jev" else config.provider
),
provider=accounting_provider,
)
if breaker is not None and permit is not None:

View file

@ -716,6 +716,7 @@ _ENVIRONMENT_KEY_SCOPE: Final = MappingProxyType(
class OpenSourceClassifierConfig(LiteLLMBaseModel):
model_config = ConfigDict(extra="forbid", frozen=True)
deployment_name: str | None = Field(default=None, min_length=1)
provider: Literal["jev", "laya", "bespoke", "databricks"] = "jev"
model: str = "jev-latest"
api_key: str | None = Field(default=None, description="Provider API key; optional for self-hosted providers")
@ -754,6 +755,12 @@ class OpenSourceClassifierConfig(LiteLLMBaseModel):
@model_validator(mode="after")
def _keep_the_environment_key_on_the_environment_base(self) -> "OpenSourceClassifierConfig":
if self.deployment_name is not None:
if not self.deployment_name.strip():
raise ValueError("deployment_name must name a configured decision model")
if self.api_key is not None or self.api_base is not None:
raise ValueError("deployment_name uses the deployment connection; omit api_key and api_base")
return self
if self.provider in ("laya", "bespoke"):
from litellm.llms.oss_decision import validate_oss_api_base, validate_oss_model
@ -762,14 +769,17 @@ class OpenSourceClassifierConfig(LiteLLMBaseModel):
_ = validate_oss_api_base(self.provider, self.api_base)
return self
if self.provider == "databricks":
from litellm.llms.databricks.decisions.transformation import validate_serving_endpoint_name
from litellm.llms.databricks.decisions.transformation import (
DATABRICKS_AI_DECIDE_MODEL,
validate_databricks_decisions_model,
)
if "model" not in self.model_fields_set:
raise ValueError(
"opensource_classifier_config.model is required for provider 'databricks': the serving endpoint "
"name, e.g. databricks-openjev-qwen35-4b"
"opensource_classifier_config.model is required for provider 'databricks': "
f"{DATABRICKS_AI_DECIDE_MODEL!r} or a serving endpoint name, e.g. databricks-openjev-qwen35-4b"
)
_ = validate_serving_endpoint_name(self.model)
_ = validate_databricks_decisions_model(self.model)
if self.api_base is not None and self.api_key is None:
raise ValueError(
"opensource_classifier_config.api_base requires opensource_classifier_config.api_key: "
@ -833,7 +843,10 @@ def _resolve_normalized_complexity_router_config_write(
{
key: value
for key, value in existing.items()
if same_provider and key in ("api_key", "api_base") and (key != "api_key" or same_base)
if same_provider
and not classifier.get("deployment_name")
and key in ("api_key", "api_base")
and (key != "api_key" or same_base)
}
)
return ComplexityRouterConfigWrite(

View file

@ -1,7 +1,7 @@
from collections.abc import Mapping
from datetime import datetime, timezone
from types import MappingProxyType
from typing import Annotated, Final, Literal, NamedTuple, Protocol, TypeAlias
from typing import TYPE_CHECKING, Annotated, Final, Literal, NamedTuple, Protocol, TypeAlias
from uuid import uuid4
import httpx
@ -10,6 +10,7 @@ from pydantic import ConfigDict, Field, TypeAdapter, ValidationError
import litellm
from litellm._logging import verbose_router_logger
from litellm.constants import INTERNAL_CALL_ORIGIN_METADATA_KEY
from litellm.litellm_core_utils.classifier_logging import masked_originating_request
from litellm.litellm_core_utils.internal_call_metadata import (
effective_turn_off_message_logging,
forwarded_internal_call_metadata,
@ -18,16 +19,21 @@ from litellm.litellm_core_utils.internal_call_metadata import (
from litellm.litellm_core_utils.litellm_logging import Logging
from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
from litellm.llms.databricks.decisions.transformation import DATABRICKS_DECISIONS_CONFIG
from litellm.llms.databricks.decisions.transformation import DATABRICKS_DECISIONS_CONFIG, is_ai_decide_model
from litellm.llms.laya.common_utils import laya_response_model
from litellm.llms.pass_through.typesafe_logging_handler import TypeSafePassthroughLoggingHandler
from litellm.router_strategy.complexity_router.config import DEFAULT_JEV_INSTRUCTIONS as _DEFAULT_JEV_INSTRUCTIONS
from litellm.types.decisions import DecisionsResponse
from litellm.types.llms.base import LiteLLMBaseModel
from litellm.types.utils import AUTOROUTER_CLASSIFIER_CALL_ORIGIN
if TYPE_CHECKING:
from litellm.router import Router
JevProbability: TypeAlias = Annotated[float, Field(ge=0.0, le=1.0)]
ClassifierProvider: TypeAlias = Literal["typesafe", "laya", "bespoke", "databricks"]
DEFAULT_JEV_INSTRUCTIONS: Final = _DEFAULT_JEV_INSTRUCTIONS
_WITHOUT_MODEL: Final = MappingProxyType({"model": True})
class JevChoiceQuestion(LiteLLMBaseModel):
@ -67,6 +73,8 @@ class JevSystemOneResponse(LiteLLMBaseModel):
model: str | None = None
answers: Mapping[str, JevChoiceAnswer]
classifier_cost: float | None = None
classifier_provider: str | None = None
usage: JevUsage | None = None
@ -79,6 +87,76 @@ class JevClassifierClient(Protocol):
) -> JevSystemOneResponse: ...
class _DecisionsRouter(Protocol):
async def adecisions(
self,
*,
model: str,
state: str,
questions: Mapping[str, object],
timeout: float,
num_retries: int,
disable_fallbacks: bool,
metadata: Mapping[str, object],
proxy_server_request: Mapping[str, object],
turn_off_message_logging: bool | None,
litellm_session_id: str = "",
litellm_trace_id: str = "",
) -> object: ...
_PARENT_METADATA: Final = TypeAdapter[Mapping[str, object] | None](Mapping[str, object] | None)
class RouterJevClassifierClient:
def __init__(self, router: "Router", deployment_name: str) -> None:
self._router: _DecisionsRouter = router
self._deployment_name = deployment_name
async def evaluate(
self,
request: JevSystemOneRequest,
timeout_s: float,
request_kwargs: Mapping[str, object] | None = None,
) -> JevSystemOneResponse:
parent: Final = request_kwargs or MappingProxyType({})
metadata: Final = {
**forwarded_internal_call_metadata(
_PARENT_METADATA.validate_python(parent.get("litellm_metadata") or parent.get("metadata")),
AUTOROUTER_CLASSIFIER_CALL_ORIGIN,
),
INTERNAL_CALL_ORIGIN_METADATA_KEY: AUTOROUTER_CLASSIFIER_CALL_ORIGIN,
}
payload: Final = {
"state": request.state,
"questions": {key: value.model_dump() for key, value in request.questions.items()},
}
response: Final = DecisionsResponse.model_validate(
await self._router.adecisions(
model=self._deployment_name,
state=request.state,
questions={key: value.model_dump() for key, value in request.questions.items()},
timeout=timeout_s,
num_retries=0,
disable_fallbacks=True,
metadata=metadata,
proxy_server_request={
"originating_request_masked": masked_originating_request(request_kwargs),
"body": {"model": self._deployment_name, **payload},
},
turn_off_message_logging=effective_turn_off_message_logging(request_kwargs),
**parent_session_kwargs(request_kwargs),
)
)
return JevSystemOneResponse.model_validate(
{
**response.model_dump(),
"classifier_cost": response.hidden_params.get("response_cost"),
"classifier_provider": response.hidden_params.get("custom_llm_provider"),
}
)
class HttpJevClassifierClient:
def __init__(
self,
@ -104,7 +182,7 @@ class HttpJevClassifierClient:
)
response: Final = await self._http_client.post( # pyright: ignore[reportUnknownMemberType] # AsyncHTTPHandler has a dynamic post signature
self._request_url(request.model),
json=request.model_dump(mode="json"),
json=request.model_dump(mode="json", exclude=self._excluded_fields(request.model)),
headers=MappingProxyType({**authorization, "Content-Type": "application/json"}), # pyright: ignore[reportArgumentType] # HTTP headers are not mutated by AsyncHTTPHandler
timeout=timeout_s,
)
@ -117,6 +195,9 @@ class HttpJevClassifierClient:
verbose_router_logger.warning("JEV response logging failed (%s)", type(exc).__name__)
return TypeAdapter(JevSystemOneResponse).validate_python(normalized_body)
def _excluded_fields(self, model: str) -> Mapping[str, bool] | None:
return _WITHOUT_MODEL if self._provider == "databricks" and is_ai_decide_model(model) else None
def _request_url(self, model: str) -> str:
if self._provider == "databricks":
return DATABRICKS_DECISIONS_CONFIG.get_complete_url(self._api_base, model)
@ -212,7 +293,7 @@ class JevVerdict(NamedTuple):
confidence: float
model: str
cost: float | None
provider: ClassifierProvider = "typesafe"
provider: str = "typesafe"
class _RegistryPricing(LiteLLMBaseModel):

View file

@ -169,9 +169,13 @@ def strategy_router_dependencies(
else ()
)
+ (
_named(
f"{accounting_provider}/{decision_classifier.get('model', 'jev-latest')}",
"evaluation",
(
_named(decision_classifier.get("deployment_name"), "classifier")
if decision_classifier.get("deployment_name")
else _named(
f"{accounting_provider}/{decision_classifier.get('model', 'jev-latest')}",
"evaluation",
)
)
if complexity.get("classifier_type") == "oss_classifier"
else ()

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