Files
MoFin/venv/lib/python3.12/site-packages/litellm/llms/together_ai/chat.py
T
知微 fa45d8aa5f fix: 小果地址统一node122(兼容LAN+EasyTier)
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
  Privoxy对node122:18003返回500,直连正常
2026-06-30 02:56:35 +08:00

66 lines
2.4 KiB
Python

"""
Support for OpenAI's `/v1/chat/completions` endpoint.
Calls done in OpenAI/openai.py as TogetherAI is openai-compatible.
Docs: https://docs.together.ai/reference/completions-1
"""
from typing import Optional
from litellm.utils import supports_function_calling
from litellm._logging import verbose_logger
from ..openai.chat.gpt_transformation import OpenAIGPTConfig
class TogetherAIConfig(OpenAIGPTConfig):
def get_supported_openai_params(self, model: str) -> list:
"""
Only some together models support response_format / tool calling
Docs: https://docs.together.ai/docs/json-mode
"""
# Use supports_function_calling() — which reads _get_model_info_helper
# directly — instead of get_model_info(). get_model_info() calls
# get_supported_openai_params() as its first step, which routes back
# into this method for together_ai models, creating a recursion that
# only terminates when Python's recursion limit or the "not mapped"
# exception in _get_model_info_helper is hit (~332 deep calls).
supports_fc: Optional[bool] = None
try:
supports_fc = supports_function_calling(
model, custom_llm_provider="together_ai"
)
except Exception as e:
verbose_logger.debug(f"Error getting supported openai params: {e}")
pass
optional_params = super().get_supported_openai_params(model)
if supports_fc is not True:
verbose_logger.debug(
"Only some together models support function calling/response_format. Docs - https://docs.together.ai/docs/function-calling"
)
optional_params.remove("tools")
optional_params.remove("tool_choice")
optional_params.remove("function_call")
optional_params.remove("response_format")
return optional_params
def map_openai_params(
self,
non_default_params: dict,
optional_params: dict,
model: str,
drop_params: bool,
) -> dict:
mapped_openai_params = super().map_openai_params(
non_default_params, optional_params, model, drop_params
)
if "response_format" in mapped_openai_params and mapped_openai_params[
"response_format"
] == {"type": "text"}:
mapped_openai_params.pop("response_format")
return mapped_openai_params