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d2b93b3296
* feat: add embeddings model management backend support Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com> * feat: add embeddings model management frontend support Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com> * chore: revert HttpClient URL to production setting Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com> * refactor: integrate embeddings models into models page with tabs Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com> * perf: move files * perf: remove `s` * feat: allow requester to declare supported types in manifest * feat(embedding): delete dimension and encoding format * feat: add extra_args for embedding moels * perf: i18n ref * fix: linter err * fix: lint err * fix: linter err --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: Junyan Qin <Chin> <rockchinq@gmail.com>
28 lines
495 B
Python
28 lines
495 B
Python
from __future__ import annotations
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import typing
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import pydantic.v1 as pydantic
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from . import requester
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from . import token
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class LLMModelInfo(pydantic.BaseModel):
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"""模型"""
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name: str
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model_name: typing.Optional[str] = None
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token_mgr: token.TokenManager
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requester: requester.ProviderAPIRequester
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tool_call_supported: typing.Optional[bool] = False
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vision_supported: typing.Optional[bool] = False
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class Config:
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arbitrary_types_allowed = True
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