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multiple: pydantic 2 compatibility, v0.3 (#26443)

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Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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2
libs/experimental/langchain_experimental/autonomous_agents/autogpt/agent.py
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@@ -13,6 +13,7 @@ from langchain_core.language_models import BaseChatModel
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from langchain_core.tools import BaseTool
from langchain_core.vectorstores import VectorStoreRetriever
from pydantic import ValidationError
from langchain_experimental.autonomous_agents.autogpt.output_parser import (
AutoGPTOutputParser,
@@ -22,7 +23,6 @@ from langchain_experimental.autonomous_agents.autogpt.prompt import AutoGPTPromp
from langchain_experimental.autonomous_agents.autogpt.prompt_generator import (
FINISH_NAME,
)
from langchain_experimental.pydantic_v1 import ValidationError
class AutoGPT:

3
libs/experimental/langchain_experimental/autonomous_agents/autogpt/memory.py
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@@ -3,8 +3,7 @@ from typing import Any, Dict, List
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.utils import get_prompt_input_key
from langchain_core.vectorstores import VectorStoreRetriever
from langchain_experimental.pydantic_v1 import Field
from pydantic import Field
class AutoGPTMemory(BaseChatMemory):

2
libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py
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@@ -7,9 +7,9 @@ from langchain_core.prompts.chat import (
)
from langchain_core.tools import BaseTool
from langchain_core.vectorstores import VectorStoreRetriever
from pydantic import BaseModel
from langchain_experimental.autonomous_agents.autogpt.prompt_generator import get_prompt
from langchain_experimental.pydantic_v1 import BaseModel
# This class has a metaclass conflict: both `BaseChatPromptTemplate` and `BaseModel`

7
libs/experimental/langchain_experimental/autonomous_agents/baby_agi/baby_agi.py
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@@ -7,6 +7,7 @@ from langchain.chains.base import Chain
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.vectorstores import VectorStore
from pydantic import BaseModel, ConfigDict, Field
from langchain_experimental.autonomous_agents.baby_agi.task_creation import (
TaskCreationChain,
@@ -17,7 +18,6 @@ from langchain_experimental.autonomous_agents.baby_agi.task_execution import (
from langchain_experimental.autonomous_agents.baby_agi.task_prioritization import (
TaskPrioritizationChain,
)
from langchain_experimental.pydantic_v1 import BaseModel, Field
# This class has a metaclass conflict: both `Chain` and `BaseModel` define a metaclass
@@ -51,8 +51,9 @@ class BabyAGI(Chain, BaseModel): # type: ignore[misc]
vectorstore: VectorStore = Field(init=False)
max_iterations: Optional[int] = None
class Config:
arbitrary_types_allowed = True
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
def add_task(self, task: Dict) -> None:
self.task_list.append(task)

3
libs/experimental/langchain_experimental/autonomous_agents/hugginggpt/task_planner.py
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@@ -13,8 +13,7 @@ from langchain_core.prompts.chat import (
SystemMessagePromptTemplate,
)
from langchain_core.tools import BaseTool
from langchain_experimental.pydantic_v1 import BaseModel
from pydantic import BaseModel
DEMONSTRATIONS = [
{