diff --git a/litellm/litellm_core_utils/llm_request_utils.py b/litellm/litellm_core_utils/llm_request_utils.py index c833d57b6a9..04824a5bf39 100644 --- a/litellm/litellm_core_utils/llm_request_utils.py +++ b/litellm/litellm_core_utils/llm_request_utils.py @@ -2,6 +2,7 @@ from collections.abc import Mapping from typing import Final import litellm +from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH def _form_field_value(value: object) -> str: @@ -13,18 +14,31 @@ def _form_field_value(value: object) -> str: def _flatten_form_field(key: str, value: object) -> tuple[tuple[str, str], ...]: - if isinstance(value, Mapping): - return tuple( - item for subkey, subvalue in value.items() for item in _flatten_form_field(f"{key}[{subkey}]", subvalue) - ) - if isinstance(value, (list, tuple)): - return tuple(item for entry in value for item in _flatten_form_field(f"{key}[]", entry)) - if value is None: - return () - serialized: Final = _form_field_value(value) - if not serialized: - return () - return ((key, serialized),) + pending_fields: Final[ # mutable-ok: depth-capped stack walks nested JSON into multipart names + list[tuple[str, object, int]] + ] = [ # mutable-ok: depth-capped stack walks nested JSON into multipart names + (key, value, 0) + ] + flat_fields: Final[list[tuple[str, str]]] = [] # mutable-ok: local accumulator + while pending_fields: + current_key, current_value, depth = pending_fields.pop() + if depth > DEFAULT_MAX_RECURSE_DEPTH: + raise ValueError("form field nesting exceeds max depth") + if isinstance(current_value, Mapping): + pending_fields.extend( + (f"{current_key}[{subkey}]", subvalue, depth + 1) + for subkey, subvalue in reversed(tuple(current_value.items())) + ) + continue + if isinstance(current_value, (list, tuple)): + pending_fields.extend((f"{current_key}[]", entry, depth + 1) for entry in reversed(tuple(current_value))) + continue + if current_value is None: + continue + serialized = _form_field_value(current_value) + if serialized: + flat_fields.append((current_key, serialized)) + return tuple(flat_fields) def _is_form_scalar(value: object) -> bool: @@ -32,23 +46,36 @@ def _is_form_scalar(value: object) -> bool: def _flatten_form_data_field(key: str, value: object) -> tuple[tuple[str, str | tuple[str, ...]], ...]: - if isinstance(value, Mapping): - return tuple( - item - for subkey, subvalue in value.items() - for item in _flatten_form_data_field(f"{key}[{subkey}]", subvalue) - ) - if isinstance(value, (list, tuple)): - if all(_is_form_scalar(entry) for entry in value): - serialized_fields: Final = tuple(field for entry in value if (field := _form_field_value(entry))) - return ((key, serialized_fields),) if serialized_fields else () - return tuple(item for entry in value for item in _flatten_form_data_field(f"{key}[]", entry)) - if value is None: - return () - serialized: Final = _form_field_value(value) - if not serialized: - return () - return ((key, serialized),) + pending_fields: Final[ # mutable-ok: depth-capped stack walks nested JSON into multipart names + list[tuple[str, object, int]] + ] = [ # mutable-ok: depth-capped stack walks nested JSON into multipart names + (key, value, 0) + ] + flat_fields: Final[list[tuple[str, str | tuple[str, ...]]]] = [] # mutable-ok: local accumulator + while pending_fields: + current_key, current_value, depth = pending_fields.pop() + if depth > DEFAULT_MAX_RECURSE_DEPTH: + raise ValueError("form field nesting exceeds max depth") + if isinstance(current_value, Mapping): + pending_fields.extend( + (f"{current_key}[{subkey}]", subvalue, depth + 1) + for subkey, subvalue in reversed(tuple(current_value.items())) + ) + continue + if isinstance(current_value, (list, tuple)): + if all(_is_form_scalar(entry) for entry in current_value): + serialized_fields = tuple(field for entry in current_value if (field := _form_field_value(entry))) + if serialized_fields: + flat_fields.append((current_key, serialized_fields)) + continue + pending_fields.extend((f"{current_key}[]", entry, depth + 1) for entry in reversed(tuple(current_value))) + continue + if current_value is None: + continue + serialized = _form_field_value(current_value) + if serialized: + flat_fields.append((current_key, serialized)) + return tuple(flat_fields) def flatten_form_field_values(*sources: Mapping[str, object] | None) -> tuple[tuple[str, str | tuple[str, ...]], ...]: diff --git a/litellm/llms/hosted_vllm/videos/__init__.py b/litellm/llms/hosted_vllm/videos/__init__.py new file mode 100644 index 00000000000..89aa5ef2e8b --- /dev/null +++ b/litellm/llms/hosted_vllm/videos/__init__.py @@ -0,0 +1,9 @@ +from litellm.llms.base_llm.videos.transformation import BaseVideoConfig + +from .transformation import HostedVLLMVideoConfig + +__all__ = ("HostedVLLMVideoConfig",) + + +def get_hosted_vllm_video_config(model: str | None) -> BaseVideoConfig: + return HostedVLLMVideoConfig() diff --git a/litellm/llms/hosted_vllm/videos/transformation.py b/litellm/llms/hosted_vllm/videos/transformation.py new file mode 100644 index 00000000000..96cbfc3cf70 --- /dev/null +++ b/litellm/llms/hosted_vllm/videos/transformation.py @@ -0,0 +1,206 @@ +"""Video generation for Hosted VLLM (vLLM-Omni OpenAI-compatible /v1/videos).""" + +import json +from collections.abc import Mapping +from io import BufferedReader +from types import MappingProxyType +from typing import Final +from urllib.parse import urlparse + +from httpx._types import FileTypes, RequestFiles + +from litellm.images.utils import ImageEditRequestUtils +from litellm.litellm_core_utils.url_utils import SSRFError, validate_url +from litellm.llms.openai.videos.transformation import OpenAIVideoConfig +from litellm.secret_managers.main import get_secret_str +from litellm.types.router import GenericLiteLLMParams +from litellm.types.videos.main import VideoCreateOptionalRequestParams + +_EXCLUDED_FORM_KEYS: Final = frozenset( + { + "model", + "prompt", + "extra_headers", + "extra_query", + "extra_body", + "timeout", + "custom_llm_provider", + "input_reference", + "characters", + } +) + +_VLLM_OMNI_VIDEO_PARAMS: Final = ( + "image_reference", + "video_reference", + "audio_reference", + "width", + "height", + "num_frames", + "fps", + "num_inference_steps", + "guidance_scale", + "guidance_scale_2", + "boundary_ratio", + "flow_shift", + "true_cfg_scale", + "seed", + "generate_sound", + "sound_duration", + "negative_prompt", + "enable_frame_interpolation", + "frame_interpolation_exp", + "frame_interpolation_scale", + "frame_interpolation_model_path", + "lora", + "extra_params", + "aspect_ratio", +) + +_REFERENCE_URL_KEYS: Final = MappingProxyType( + { + "image_reference": "image_url", + "video_reference": "video_url", + "audio_reference": "audio_url", + } +) + + +def _serialize_form_value(value: object) -> str: + if isinstance(value, str): + return value + if isinstance(value, bool): + return "true" if value else "false" + if isinstance(value, (Mapping, list, tuple)): + return json.dumps(value) + return str(value) + + +def _maybe_json(value: object) -> object: + if not isinstance(value, str): + return value + stripped: Final = value.strip() + if not stripped or stripped[0] not in "{[": + return value + return json.loads(stripped) + + +def _reject_unsafe_media_url(url: str) -> None: + scheme: Final = urlparse(url).scheme.lower() + if scheme in ("", "data"): + return + if scheme not in ("http", "https"): + raise SSRFError(f"URL scheme '{scheme}' is not allowed") + validate_url(url) + + +def _reject_unsafe_urls_in_item(url_key: str, item: object) -> None: + if not isinstance(item, Mapping): + return + url: Final = item.get(url_key) + if isinstance(url, str): + _reject_unsafe_media_url(url) + + +def _reject_unsafe_media_urls(field_name: str, value: object) -> None: + url_key: Final = _REFERENCE_URL_KEYS.get(field_name) + if url_key is None: + return + parsed: Final = _maybe_json(value) + if isinstance(parsed, list): + for item in parsed: + _reject_unsafe_urls_in_item(url_key, item) + return + if isinstance(parsed, Mapping): + _reject_unsafe_urls_in_item(url_key, parsed) + + +def _form_value(key: str, value: object) -> str: + _reject_unsafe_media_urls(key, value) + return _serialize_form_value(value) + + +def _input_reference_file(reference: object) -> tuple[str, FileTypes]: + content_type: Final = ImageEditRequestUtils.get_image_content_type(reference) + if isinstance(reference, BufferedReader): + return ("input_reference", (reference.name, reference, content_type)) + return ("input_reference", ("input_reference.png", reference, content_type)) + + +class HostedVLLMVideoConfig(OpenAIVideoConfig): + """ + vLLM-Omni videos API is OpenAI-compatible but requires multipart/form-data. + + https://docs.vllm.ai/projects/vllm-omni/en/latest/serving/videos_api/ + """ + + def get_supported_openai_params(self, model: str) -> list: # mutable-ok: BaseVideoConfig contract + return [ # mutable-ok: BaseVideoConfig returns list + *super().get_supported_openai_params(model), + *_VLLM_OMNI_VIDEO_PARAMS, + ] + + def map_openai_params( + self, + video_create_optional_params: VideoCreateOptionalRequestParams, + model: str, + drop_params: bool, + ) -> dict: # mutable-ok: BaseVideoConfig contract; extra_body merge mutates this dict + return { # mutable-ok: VideoGenerationRequestUtils.update/pop extra_body onto this mapping + key: value for key, value in video_create_optional_params.items() if value is not None + } + + def validate_environment( + self, + headers: dict, # mutable-ok: BaseVideoConfig contract + model: str, + api_key: str | None = None, + litellm_params: GenericLiteLLMParams | None = None, + ) -> dict: # mutable-ok: BaseVideoConfig contract + resolved_key: Final = ( + (litellm_params.api_key if litellm_params is not None else None) + or api_key + or get_secret_str("HOSTED_VLLM_API_KEY") + or "fake-api-key" + ) + return {**headers, "Authorization": f"Bearer {resolved_key}"} # mutable-ok: httpx headers are a dict + + def get_complete_url( + self, + model: str, + api_base: str | None, + litellm_params: dict, # mutable-ok: BaseVideoConfig contract + ) -> str: + resolved_api_base: Final = api_base or get_secret_str("HOSTED_VLLM_API_BASE") + if resolved_api_base is None: + raise ValueError( + "api_base not set for Hosted VLLM videos API. " + "Set via api_base parameter or HOSTED_VLLM_API_BASE environment variable" + ) + trimmed: Final = resolved_api_base.rstrip("/") + if trimmed.endswith("/v1"): + return f"{trimmed}/videos" + return f"{trimmed}/v1/videos" + + def transform_video_create_request( + self, + model: str, + prompt: str, + api_base: str, + video_create_optional_request_params: dict, # mutable-ok: BaseVideoConfig contract + litellm_params: GenericLiteLLMParams, + headers: dict, # mutable-ok: BaseVideoConfig contract + ) -> tuple[dict, RequestFiles, str]: # mutable-ok: BaseVideoConfig contract + data: Final = { # mutable-ok: BaseVideoConfig contract returns a data dict + "model": model, + "prompt": prompt, + **{ # mutable-ok: spread remaining Omni form fields into that data dict + key: _form_value(key, value) + for key, value in video_create_optional_request_params.items() + if key not in _EXCLUDED_FORM_KEYS and value is not None + }, + } + input_reference: Final = video_create_optional_request_params.get("input_reference") + if input_reference is None: + return data, (), api_base + return data, (_input_reference_file(input_reference),), api_base diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index 86c14fb4cd8..ead26ab65c5 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -1180,7 +1180,8 @@ "files": true, "rerank": true, "a2a": true, - "interactions": true + "interactions": true, + "video_generations": true } }, "huggingface": { diff --git a/litellm/utils.py b/litellm/utils.py index 9cab81e1ba7..63f6f60f63f 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -9038,6 +9038,10 @@ class ProviderConfigManager: from litellm.llms.runwayml.videos.transformation import RunwayMLVideoConfig return RunwayMLVideoConfig() + elif LlmProviders.HOSTED_VLLM == provider: + from litellm.llms.hosted_vllm.videos import get_hosted_vllm_video_config + + return get_hosted_vllm_video_config(model) return None @staticmethod diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 1d8d374c2c4..7c7d508856f 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -1277,7 +1277,8 @@ "files": true, "rerank": true, "a2a": true, - "interactions": true + "interactions": true, + "video_generations": true } }, "huggingface": { diff --git a/tests/test_litellm/litellm_core_utils/test_llm_request_utils.py b/tests/test_litellm/litellm_core_utils/test_llm_request_utils.py index 3a09702de45..765c47547ce 100644 --- a/tests/test_litellm/litellm_core_utils/test_llm_request_utils.py +++ b/tests/test_litellm/litellm_core_utils/test_llm_request_utils.py @@ -1,4 +1,5 @@ import httpx +import pytest from litellm.litellm_core_utils.llm_request_utils import ( flatten_form_field_values, @@ -80,9 +81,7 @@ def test_flatten_form_field_values_later_source_wins_on_collision(): def test_flatten_form_field_values_keeps_scalar_lists_as_repeated_fields(): - assert flatten_form_field_values( - {"loras": ["a", "b", "c"], "generation_config": {"tags": [1, 2]}, "seed": 42} - ) == ( + assert flatten_form_field_values({"loras": ["a", "b", "c"], "generation_config": {"tags": [1, 2]}, "seed": 42}) == ( ("loras", ("a", "b", "c")), ("generation_config[tags]", ("1", "2")), ("seed", "42"), @@ -97,3 +96,12 @@ def test_flatten_form_field_values_scalar_list_survives_update_into_multipart(): assert names.count("loras") == 2 assert names.count("model") == 1 + + +def test_flatten_form_field_values_rejects_over_deep_nesting(): + nested: object = "leaf" + for _ in range(102): + nested = {"k": nested} + assert isinstance(nested, dict) + with pytest.raises(ValueError, match="max depth"): + flatten_form_field_values(nested) diff --git a/tests/test_litellm/llms/hosted_vllm/videos/test_hosted_vllm_video_transformation.py b/tests/test_litellm/llms/hosted_vllm/videos/test_hosted_vllm_video_transformation.py new file mode 100644 index 00000000000..eb90430f303 --- /dev/null +++ b/tests/test_litellm/llms/hosted_vllm/videos/test_hosted_vllm_video_transformation.py @@ -0,0 +1,312 @@ +"""Tests for hosted_vllm video generation (vLLM-Omni /v1/videos).""" + +import json +from io import BytesIO + +import httpx +import pytest + +import litellm +from litellm.litellm_core_utils.url_utils import SSRFError +from litellm.llms.custom_httpx.http_handler import HTTPHandler +from litellm.llms.hosted_vllm.videos import get_hosted_vllm_video_config +from litellm.llms.hosted_vllm.videos.transformation import ( + HostedVLLMVideoConfig, + _serialize_form_value, +) +from litellm.types.router import GenericLiteLLMParams +from litellm.types.utils import LlmProviders +from litellm.types.videos.main import VideoObject +from litellm.utils import ProviderConfigManager + + +def test_provider_config_registration(): + config = ProviderConfigManager.get_provider_video_config( + model="hosted_vllm/MiniMax-H3", + provider=LlmProviders.HOSTED_VLLM, + ) + + assert config is not None + assert isinstance(config, HostedVLLMVideoConfig) + assert isinstance(get_hosted_vllm_video_config("MiniMax-H3"), HostedVLLMVideoConfig) + + +def test_get_complete_url_appends_videos(): + config = HostedVLLMVideoConfig() + + assert ( + config.get_complete_url(model="MiniMax-H3", api_base="http://localhost:8091", litellm_params={}) + == "http://localhost:8091/v1/videos" + ) + assert ( + config.get_complete_url(model="MiniMax-H3", api_base="http://localhost:8091/v1", litellm_params={}) + == "http://localhost:8091/v1/videos" + ) + assert ( + config.get_complete_url(model="MiniMax-H3", api_base="http://localhost:8091/v1/", litellm_params={}) + == "http://localhost:8091/v1/videos" + ) + + +def test_get_complete_url_requires_api_base(): + config = HostedVLLMVideoConfig() + + with pytest.raises(ValueError, match="api_base not set"): + config.get_complete_url(model="MiniMax-H3", api_base=None, litellm_params={}) + + +def test_validate_environment_defaults_to_fake_api_key(): + config = HostedVLLMVideoConfig() + + headers = config.validate_environment( + headers={}, + model="MiniMax-H3", + litellm_params=GenericLiteLLMParams(), + ) + + assert headers.get("Authorization") == "Bearer fake-api-key" + + +def test_validate_environment_uses_provided_api_key(): + config = HostedVLLMVideoConfig() + + headers = config.validate_environment( + headers={"X-Test": "1"}, + model="MiniMax-H3", + litellm_params=GenericLiteLLMParams(api_key="my-custom-key"), + ) + + assert headers.get("Authorization") == "Bearer my-custom-key" + assert headers.get("X-Test") == "1" + + +def test_transform_video_create_request_uses_multipart_form_fields(): + """vLLM-Omni rejects JSON create bodies. Extra Omni fields must be form parts.""" + config = HostedVLLMVideoConfig() + extra_params = {"task": "t2va", "duration": 10.0, "audio_flow_shift": 3.0} + + data, files, url = config.transform_video_create_request( + model="MiniMax-H3", + prompt="three cats march into a bedroom playing tiny brass instruments", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={ + "width": 1280, + "height": 720, + "fps": 24, + "num_inference_steps": 20, + "flow_shift": 12, + "seed": 1101, + "aspect_ratio": "16:9", + "extra_params": extra_params, + "extra_headers": {"X-Ignored": "yes"}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert url == "http://localhost:8091/v1/videos" + assert files == () + assert data["model"] == "MiniMax-H3" + assert data["prompt"] == "three cats march into a bedroom playing tiny brass instruments" + assert data["width"] == "1280" + assert data["height"] == "720" + assert data["fps"] == "24" + assert data["num_inference_steps"] == "20" + assert data["flow_shift"] == "12" + assert data["seed"] == "1101" + assert data["aspect_ratio"] == "16:9" + assert json.loads(data["extra_params"]) == extra_params + assert "extra_headers" not in data + + +def test_transform_video_create_request_keeps_openai_size_and_seconds(): + config = HostedVLLMVideoConfig() + + data, files, _ = config.transform_video_create_request( + model="Wan2.2", + prompt="a mountain lake at sunrise", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={"seconds": "8", "size": "1280x720"}, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert files == () + assert data["seconds"] == "8" + assert data["size"] == "1280x720" + + +def test_transform_video_create_request_attaches_input_reference_file(): + config = HostedVLLMVideoConfig() + reference = BytesIO(b"fake-png") + reference.name = "input.png" + + data, files, _ = config.transform_video_create_request( + model="Wan2.2", + prompt="animate this image", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={"input_reference": reference, "width": 832}, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert data["width"] == "832" + assert "input_reference" not in data + reference_parts = [value for name, value in files if name == "input_reference"] + assert len(reference_parts) == 1 + filename, content, content_type = reference_parts[0] + assert filename == "input_reference.png" + assert content is reference + assert content_type == "image/png" + + +def test_serialize_form_value_does_not_quote_plain_strings(): + assert _serialize_form_value("16:9") == "16:9" + assert _serialize_form_value(True) == "true" + assert _serialize_form_value({"task": "t2va"}) == json.dumps({"task": "t2va"}) + + +def test_map_openai_params_passes_through_omni_fields(): + config = HostedVLLMVideoConfig() + + mapped = config.map_openai_params( + video_create_optional_params={ + "width": 1280, + "extra_params": {"task": "t2va"}, + "aspect_ratio": "16:9", + "extra_body": None, + }, + model="MiniMax-H3", + drop_params=False, + ) + + assert mapped["width"] == 1280 + assert mapped["extra_params"] == {"task": "t2va"} + assert mapped["aspect_ratio"] == "16:9" + assert "extra_body" not in mapped + + +def test_get_supported_openai_params_includes_omni_extensions(): + config = HostedVLLMVideoConfig() + supported = config.get_supported_openai_params("MiniMax-H3") + + assert "prompt" in supported + assert "input_reference" in supported + assert "width" in supported + assert "extra_params" in supported + assert "aspect_ratio" in supported + assert "image_reference" in supported + assert "audio_reference" in supported + + +def _http_handler_for(handler) -> HTTPHandler: + return HTTPHandler(client=httpx.Client(transport=httpx.MockTransport(handler))) + + +def test_video_generation_posts_multipart_not_json(): + captured: list[httpx.Request] = [] + + def handler(request: httpx.Request) -> httpx.Response: + captured.append(request) + return httpx.Response( + 200, + json={ + "id": "video-123", + "object": "video", + "status": "queued", + "created_at": 1701234567, + }, + ) + + response = litellm.video_generation( + model="hosted_vllm/MiniMax-H3", + prompt="three cats march into a bedroom playing tiny brass instruments", + api_base="http://localhost:8091", + api_key="test-key", + client=_http_handler_for(handler), + extra_body={ + "width": 1280, + "height": 720, + "fps": 24, + "extra_params": {"task": "t2va", "duration": 10.0}, + }, + ) + + assert isinstance(response, VideoObject) + assert response.status == "queued" + assert len(captured) == 1 + request = captured[0] + assert str(request.url) == "http://localhost:8091/v1/videos" + assert request.headers["authorization"] == "Bearer test-key" + body = request.content + assert b'name="prompt"' in body + assert b"three cats march into a bedroom playing tiny brass instruments" in body + assert b'name="width"' in body + assert b"1280" in body + assert b'name="extra_params"' in body + assert b"t2va" in body + assert request.headers.get("content-type", "").startswith("multipart/form-data") + + +def test_http_image_reference_is_forwarded_not_downloaded(): + config = HostedVLLMVideoConfig() + data, files, _ = config.transform_video_create_request( + model="MiniMax-H3", + prompt="a person singing", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={ + "image_reference": {"image_url": "http://1.1.1.1/face.png"}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert files == () + payload = json.loads(data["image_reference"]) + assert payload["image_url"] == "http://1.1.1.1/face.png" + + +def test_data_url_image_reference_is_forwarded(): + data_url = "data:image/png;base64,AAAA" + config = HostedVLLMVideoConfig() + data, files, _ = config.transform_video_create_request( + model="MiniMax-H3", + prompt="a person singing", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={"image_reference": {"image_url": data_url}}, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert files == () + assert json.loads(data["image_reference"])["image_url"] == data_url + + +def test_metadata_url_in_image_reference_is_rejected(): + config = HostedVLLMVideoConfig() + with pytest.raises(SSRFError, match="blocked address"): + config.transform_video_create_request( + model="MiniMax-H3", + prompt="a person singing", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={ + "image_reference": {"image_url": "http://169.254.169.254/latest/meta-data/"}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + +def test_file_scheme_media_reference_is_rejected(): + config = HostedVLLMVideoConfig() + with pytest.raises(SSRFError, match="scheme"): + config.transform_video_create_request( + model="MiniMax-H3", + prompt="a person singing", + api_base="http://localhost:8091/v1/videos", + video_create_optional_request_params={ + "video_reference": {"video_url": "file:///etc/passwd"}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + )