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Co-authored-by: Douglas <douglas.ym.lai@gmail.com> Co-authored-by: a7m-1st <ahmed.jimi.awelkair500@gmail.com> Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Tong Chen <web_chentong@163.com>
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from typing import Literal
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from pydantic import BaseModel
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class ApiKey(BaseModel):
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api_key: str
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class ExaSearch(BaseModel):
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query: str
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search_type: Literal["auto", "neural", "keyword"] = "auto"
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category: (
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Literal[
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"company",
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"research paper",
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"news",
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"pdf",
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"github",
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"tweet",
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"personal site",
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"linkedin profile",
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"financial report",
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]
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| None
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) = None
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num_results: int = 10
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include_text: list[str] | None = None
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exclude_text: list[str] | None = None
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use_autoprompt: bool | None = True
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text: bool | None = False
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