Merge pull request #33733 from BerriAI/litellm_lit_4162_bedrock_batch_tags

feat(bedrock): forward bedrock_tags to CreateModelInvocationJob for batch jobs
This commit is contained in:
Mateo Wang 2026-07-20 18:12:21 -04:00 committed by GitHub
commit 3819ee5dc0
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
6 changed files with 277 additions and 1 deletions

View file

@ -4,6 +4,7 @@ import time
from typing import Any, Dict, List, Literal, Optional, Union, cast
from httpx import Headers, Response
from pydantic import TypeAdapter, ValidationError
from litellm.litellm_core_utils.cloud_storage_security import (
BEDROCK_MANAGED_S3_BATCH_PREFIX,
@ -19,6 +20,7 @@ from litellm.types.llms.bedrock import (
BedrockOutputDataConfig,
BedrockS3InputDataConfig,
BedrockS3OutputDataConfig,
BedrockTag,
)
from litellm.types.llms.openai import (
AllMessageValues,
@ -38,6 +40,18 @@ _S3_BATCH_FILE_UUID_SUFFIX_PATTERN = re.compile(
r"-[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}\.jsonl$"
)
_BEDROCK_TAGS_ADAPTER: TypeAdapter[list[BedrockTag]] = TypeAdapter(list[BedrockTag])
def _validate_bedrock_tags(raw_tags: object) -> list[BedrockTag]:
try:
return _BEDROCK_TAGS_ADAPTER.validate_python(raw_tags, strict=True)
except ValidationError as e:
raise ValueError(
"Invalid 'bedrock_tags' value. Expected a list of {'key': <str>, 'value': <str>} dicts, "
f"e.g. [{{'key': 'team', 'value': 'genai'}}]. Got: {raw_tags!r}"
) from e
class BedrockBatchesConfig(BaseAWSLLM, BaseBatchesConfig):
"""
@ -201,6 +215,11 @@ class BedrockBatchesConfig(BaseAWSLLM, BaseBatchesConfig):
"roleArn": role_arn,
}
config_bedrock_tags = litellm_params.get("bedrock_tags")
bedrock_tags = config_bedrock_tags if config_bedrock_tags is not None else optional_params.get("bedrock_tags")
if bedrock_tags is not None:
bedrock_request["tags"] = _validate_bedrock_tags(bedrock_tags)
# Add optional parameters if provided
completion_window = create_batch_data.get("completion_window")
if completion_window:

View file

@ -273,6 +273,7 @@ _BANNED_REQUEST_BODY_PARAMS: Tuple[str, ...] = (
# re-route the request's retention and accounting to any project
# reachable with the deployment's shared AWS credentials.
"aws_bedrock_project_id",
"bedrock_tags",
# Provider-specific endpoint overrides that flow into the outbound
# request via ``optional_params``. Same threat as ``api_base``:
# ``s3_endpoint_url`` redirects Bedrock file uploads to attacker

View file

@ -985,6 +985,11 @@ class BedrockOutputDataConfig(TypedDict):
s3OutputDataConfig: BedrockS3OutputDataConfig
class BedrockTag(TypedDict):
key: str
value: str
class BedrockCreateBatchRequest(TypedDict, total=False):
"""
Request structure for creating a Bedrock batch inference job.
@ -999,7 +1004,7 @@ class BedrockCreateBatchRequest(TypedDict, total=False):
outputDataConfig: BedrockOutputDataConfig
timeoutDurationInHours: Optional[int]
clientRequestToken: Optional[str]
tags: Optional[List[dict]]
tags: Optional[List[BedrockTag]]
BedrockBatchJobStatus = Literal["Submitted", "InProgress", "Completed", "Failed", "Stopping", "Stopped"]

View file

@ -258,6 +258,112 @@ def test_create_request_no_timeout_for_non_24h_window(config):
assert "timeoutDurationInHours" not in mock_sign.call_args.kwargs["data"]
def test_create_request_forwards_bedrock_tags_from_litellm_params(config):
tags = [
{"key": "application", "value": "genai-proxy"},
{"key": "team", "value": "ml-platform"},
]
with patch.object(
config.common_utils,
"generate_unique_job_name",
return_value="litellm-batch-1",
), patch.object(config.common_utils, "sign_aws_request") as mock_sign:
mock_sign.return_value = ({}, b"{}")
config.transform_create_batch_request(
model="m",
create_batch_data={"input_file_id": "s3://b/in.jsonl"},
optional_params={},
litellm_params={
"aws_batch_role_arn": "arn:aws:iam::1:role/r",
"bedrock_tags": tags,
},
)
assert mock_sign.call_args.kwargs["data"]["tags"] == tags
def test_create_request_forwards_bedrock_tags_from_optional_params(config):
tags = [{"key": "env", "value": "prod"}]
with patch.object(
config.common_utils,
"generate_unique_job_name",
return_value="litellm-batch-1",
), patch.object(config.common_utils, "sign_aws_request") as mock_sign:
mock_sign.return_value = ({}, b"{}")
config.transform_create_batch_request(
model="m",
create_batch_data={"input_file_id": "s3://b/in.jsonl"},
optional_params={"bedrock_tags": tags},
litellm_params={"aws_batch_role_arn": "arn:aws:iam::1:role/r"},
)
assert mock_sign.call_args.kwargs["data"]["tags"] == tags
def test_create_request_empty_litellm_params_tags_do_not_fall_through(config):
with patch.object(
config.common_utils,
"generate_unique_job_name",
return_value="litellm-batch-1",
), patch.object(config.common_utils, "sign_aws_request") as mock_sign:
mock_sign.return_value = ({}, b"{}")
config.transform_create_batch_request(
model="m",
create_batch_data={"input_file_id": "s3://b/in.jsonl"},
optional_params={"bedrock_tags": [{"key": "env", "value": "prod"}]},
litellm_params={
"aws_batch_role_arn": "arn:aws:iam::1:role/r",
"bedrock_tags": [],
},
)
assert mock_sign.call_args.kwargs["data"]["tags"] == []
def test_create_request_omits_tags_when_bedrock_tags_absent(config):
with patch.object(
config.common_utils,
"generate_unique_job_name",
return_value="litellm-batch-1",
), patch.object(config.common_utils, "sign_aws_request") as mock_sign:
mock_sign.return_value = ({}, b"{}")
config.transform_create_batch_request(
model="m",
create_batch_data={"input_file_id": "s3://b/in.jsonl"},
optional_params={},
litellm_params={"aws_batch_role_arn": "arn:aws:iam::1:role/r"},
)
assert "tags" not in mock_sign.call_args.kwargs["data"]
@pytest.mark.parametrize(
"bad_tags",
[
["application=genai-proxy"],
[{"key": "application"}],
[{"value": "genai-proxy"}],
[{"key": "application", "value": 42}],
{"key": "application", "value": "genai-proxy"},
"application=genai-proxy",
],
)
def test_create_request_rejects_malformed_bedrock_tags(config, bad_tags):
with patch.object(
config.common_utils,
"generate_unique_job_name",
return_value="litellm-batch-1",
), patch.object(config.common_utils, "sign_aws_request") as mock_sign:
mock_sign.return_value = ({}, b"{}")
with pytest.raises(ValueError, match="Invalid 'bedrock_tags' value"):
config.transform_create_batch_request(
model="m",
create_batch_data={"input_file_id": "s3://b/in.jsonl"},
optional_params={},
litellm_params={
"aws_batch_role_arn": "arn:aws:iam::1:role/r",
"bedrock_tags": bad_tags,
},
)
mock_sign.assert_not_called()
# --------------------------------------------------------------------------- #
# transform_create_batch_response - status mapping + LiteLLMBatch shape
# --------------------------------------------------------------------------- #

View file

@ -1944,6 +1944,91 @@ class TestIsRequestBodySafeBlocksRivaUseSsl:
)
class TestIsRequestBodySafeBlocksBedrockTags:
"""``bedrock_tags`` lands as AWS resource tags on Bedrock batch jobs
created with the proxy's AWS identity, so a caller-supplied value can
forge ownership or cost-allocation labels; like
``aws_bedrock_project_id`` it is blocked without an admin opt-in."""
def test_bedrock_tags_in_request_body_is_rejected(self):
with pytest.raises(ValueError, match="bedrock_tags"):
is_request_body_safe(
request_body={
"model": "bedrock-batch-opus",
"bedrock_tags": [{"key": "application", "value": "genai-proxy"}],
},
general_settings={},
llm_router=None,
model="bedrock-batch-opus",
)
def test_admin_opt_in_proxy_wide_allows_bedrock_tags(self):
assert (
is_request_body_safe(
request_body={
"model": "bedrock-batch-opus",
"bedrock_tags": [{"key": "application", "value": "genai-proxy"}],
},
general_settings={"allow_client_side_credentials": True},
llm_router=None,
model="bedrock-batch-opus",
)
is True
)
def test_admin_opt_in_per_deployment_allows_bedrock_tags(self):
from litellm import Router
router = Router(
model_list=[
{
"model_name": "bedrock-batch-opus",
"litellm_params": {
"model": "bedrock/us.anthropic.claude-opus-4-7",
"configurable_clientside_auth_params": ["bedrock_tags"],
},
}
]
)
assert (
is_request_body_safe(
request_body={
"model": "bedrock-batch-opus",
"bedrock_tags": [{"key": "application", "value": "genai-proxy"}],
},
general_settings={},
llm_router=router,
model="bedrock-batch-opus",
)
is True
)
def test_per_deployment_opt_in_for_other_param_still_rejects_bedrock_tags(self):
from litellm import Router
router = Router(
model_list=[
{
"model_name": "bedrock-batch-opus",
"litellm_params": {
"model": "bedrock/us.anthropic.claude-opus-4-7",
"configurable_clientside_auth_params": ["api_base"],
},
}
]
)
with pytest.raises(ValueError, match="bedrock_tags"):
is_request_body_safe(
request_body={
"model": "bedrock-batch-opus",
"bedrock_tags": [{"key": "application", "value": "genai-proxy"}],
},
general_settings={},
llm_router=router,
model="bedrock-batch-opus",
)
# ── is_request_body_safe nested-config recursion (VERIA-6) ────────────────────

View file

@ -5806,3 +5806,63 @@ def test_get_configured_token_limits_coerces_numeric_strings():
)
assert router.get_configured_token_limits("quoted-limits-model") == (32000, 8000)
@pytest.mark.asyncio
async def test_acreate_batch_request_bedrock_tags_override_deployment_tags():
import httpx
from litellm.llms.bedrock.common_utils import CommonBatchFilesUtils
deployment_tags = [{"key": "application", "value": "config-level"}]
request_tags = [{"key": "application", "value": "request-level"}]
router = litellm.Router(
model_list=[
{
"model_name": "bedrock-batch-model",
"litellm_params": {
"model": "bedrock/us.anthropic.claude-sonnet-5",
"aws_batch_role_arn": "arn:aws:iam::123:role/batch-role",
"aws_region_name": "us-west-2",
"bedrock_tags": deployment_tags,
},
}
]
)
def fake_response():
return httpx.Response(
status_code=200,
json={
"jobArn": "arn:aws:bedrock:us-west-2:123:model-invocation-job/abc1234567",
"status": "Submitted",
},
)
mock_client = MagicMock()
mock_client.post = AsyncMock(side_effect=lambda *args, **kwargs: fake_response())
with patch.object(
CommonBatchFilesUtils,
"sign_aws_request",
return_value=({"Authorization": "signed"}, b"{}"),
) as mock_sign, patch(
"litellm.llms.custom_httpx.llm_http_handler.get_async_httpx_client",
return_value=mock_client,
):
await router.acreate_batch(
model="bedrock-batch-model",
input_file_id="s3://bucket/input.jsonl",
endpoint="/v1/chat/completions",
completion_window="24h",
)
assert mock_sign.call_args.kwargs["data"]["tags"] == deployment_tags
await router.acreate_batch(
model="bedrock-batch-model",
input_file_id="s3://bucket/input.jsonl",
endpoint="/v1/chat/completions",
completion_window="24h",
bedrock_tags=request_tags,
)
assert mock_sign.call_args.kwargs["data"]["tags"] == request_tags