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experimental[patch]: prompts import fix (#20534)

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Replaced `from langchain.prompts` with `from langchain_core.prompts`
where it is appropriate.
Most of the changes go to `langchain_experimental`
Similar to #20348
This commit is contained in:
Leonid Ganeline 2024-04-18 13:09:11 -07:00 committed by GitHub
parent 2542a09abc
commit 95dc90609e
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
28 changed files with 40 additions and 41 deletions
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6
libs/experimental/langchain_experimental/autonomous_agents/autogpt/prompt.py
View File

@ -1,11 +1,11 @@
import time
from typing import Any, Callable, List, cast
from langchain.prompts.chat import (
BaseChatPromptTemplate,
)
from langchain.tools.base import BaseTool
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
from langchain_core.prompts.chat import (
BaseChatPromptTemplate,
)
from langchain_core.vectorstores import VectorStoreRetriever
from langchain_experimental.autonomous_agents.autogpt.prompt_generator import get_prompt

6
libs/experimental/langchain_experimental/autonomous_agents/hugginggpt/task_planner.py
View File

@ -5,14 +5,14 @@ from typing import Any, Dict, List, Optional, Union
from langchain.base_language import BaseLanguageModel
from langchain.chains import LLMChain
from langchain.prompts.chat import (
from langchain.tools.base import BaseTool
from langchain_core.callbacks.manager import Callbacks
from langchain_core.prompts.chat import (
AIMessagePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain.tools.base import BaseTool
from langchain_core.callbacks.manager import Callbacks
from langchain_experimental.pydantic_v1 import BaseModel

2
libs/experimental/langchain_experimental/cpal/base.py
View File

@ -10,8 +10,8 @@ from langchain.base_language import BaseLanguageModel
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts.prompt import PromptTemplate
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental import pydantic_v1 as pydantic
from langchain_experimental.cpal.constants import Constant

4
libs/experimental/langchain_experimental/fallacy_removal/prompts.py
View File

@ -1,5 +1,5 @@
from langchain.prompts.few_shot import FewShotPromptTemplate
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.few_shot import FewShotPromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
fallacy_critique_example = PromptTemplate(
template="""Human: {input_prompt}

2
libs/experimental/langchain_experimental/llm_bash/prompt.py
View File

@ -4,7 +4,7 @@ from __future__ import annotations
import re
from typing import List
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.exceptions import OutputParserException

2
libs/experimental/langchain_experimental/llm_symbolic_math/base.py
View File

@ -7,11 +7,11 @@ from typing import Any, Dict, List, Optional
from langchain.base_language import BaseLanguageModel
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.prompts.base import BasePromptTemplate
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.prompts.base import BasePromptTemplate
from langchain_experimental.llm_symbolic_math.prompt import PROMPT
from langchain_experimental.pydantic_v1 import Extra

2
libs/experimental/langchain_experimental/llm_symbolic_math/prompt.py
View File

@ -1,5 +1,5 @@
# flake8: noqa
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
_PROMPT_TEMPLATE = """Translate a math problem into a expression that can be executed using Python's SymPy library. Use the output of running this code to answer the question.

2
libs/experimental/langchain_experimental/pal_chain/colored_object_prompt.py
View File

@ -1,5 +1,5 @@
# flake8: noqa
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
template = (
"""

2
libs/experimental/langchain_experimental/pal_chain/math_prompt.py
View File

@ -1,5 +1,5 @@
# flake8: noqa
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
template = (
'''

2
libs/experimental/langchain_experimental/plan_and_execute/planners/chat_planner.py
View File

@ -1,9 +1,9 @@
import re
from langchain.chains import LLMChain
from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import SystemMessage
from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_experimental.plan_and_execute.planners.base import LLMPlanner
from langchain_experimental.plan_and_execute.schema import (

2
libs/experimental/langchain_experimental/prompts/load.py
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@ -1,3 +1,3 @@
from langchain.prompts.loading import load_prompt
from langchain_core.prompts.loading import load_prompt
__all__ = ["load_prompt"]

2
libs/experimental/langchain_experimental/recommenders/amazon_personalize_chain.py
View File

@ -4,11 +4,11 @@ from typing import Any, Dict, List, Mapping, Optional, cast
from langchain.chains import LLMChain
from langchain.chains.base import Chain
from langchain.prompts.prompt import PromptTemplate
from langchain.schema.language_model import BaseLanguageModel
from langchain_core.callbacks.manager import (
CallbackManagerForChainRun,
)
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental.recommenders.amazon_personalize import AmazonPersonalize

4
libs/experimental/langchain_experimental/rl_chain/base.py
View File

@ -18,13 +18,13 @@ from typing import (
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.prompts import (
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.prompts import (
BasePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_experimental.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_experimental.rl_chain.metrics import (

2
libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py
View File

@ -5,8 +5,8 @@ from typing import Any, Dict, List, Optional, Tuple, Type, Union
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.prompts import BasePromptTemplate
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.prompts import BasePromptTemplate
import langchain_experimental.rl_chain.base as base

8
libs/experimental/langchain_experimental/smart_llm/base.py
View File

@ -4,15 +4,15 @@ from typing import Any, Dict, List, Optional, Tuple, Type
from langchain.base_language import BaseLanguageModel
from langchain.chains.base import Chain
from langchain.input import get_colored_text
from langchain.prompts.base import BasePromptTemplate
from langchain.prompts.chat import (
from langchain.schema import LLMResult, PromptValue
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.chat import (
AIMessagePromptTemplate,
BaseMessagePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
)
from langchain.schema import LLMResult, PromptValue
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_experimental.pydantic_v1 import Extra, root_validator

2
libs/experimental/langchain_experimental/sql/base.py
View File

@ -7,12 +7,12 @@ from typing import Any, Dict, List, Optional
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.chains.sql_database.prompt import DECIDER_PROMPT, PROMPT, SQL_PROMPTS
from langchain.prompts.prompt import PromptTemplate
from langchain.schema import BasePromptTemplate
from langchain_community.tools.sql_database.prompt import QUERY_CHECKER
from langchain_community.utilities.sql_database import SQLDatabase
from langchain_core.callbacks.manager import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental.pydantic_v1 import Extra, Field, root_validator

2
libs/experimental/langchain_experimental/sql/prompt.py
View File

@ -1,5 +1,5 @@
# flake8: noqa
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
PROMPT_SUFFIX = """Only use the following tables:

2
libs/experimental/langchain_experimental/sql/vector_sql.py
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@ -6,7 +6,6 @@ from typing import Any, Dict, List, Optional, Sequence, Union
from langchain.chains.llm import LLMChain
from langchain.chains.sql_database.prompt import PROMPT, SQL_PROMPTS
from langchain.prompts.prompt import PromptTemplate
from langchain_community.tools.sql_database.prompt import QUERY_CHECKER
from langchain_community.utilities.sql_database import SQLDatabase
from langchain_core.callbacks.manager import CallbackManagerForChainRun
@ -14,6 +13,7 @@ from langchain_core.embeddings import Embeddings
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental.sql.base import INTERMEDIATE_STEPS_KEY, SQLDatabaseChain

2
libs/experimental/langchain_experimental/synthetic_data/prompts.py
View File

@ -1,4 +1,4 @@
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
sentence_template = """Given the following fields, create a sentence about them.
Make the sentence detailed and interesting. Use every given field.

2
libs/experimental/langchain_experimental/tabular_synthetic_data/base.py
View File

@ -3,9 +3,9 @@ from typing import Any, Dict, List, Optional, Union
from langchain.chains.base import Chain
from langchain.chains.llm import LLMChain
from langchain.prompts.few_shot import FewShotPromptTemplate
from langchain.pydantic_v1 import BaseModel, root_validator
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.few_shot import FewShotPromptTemplate
class SyntheticDataGenerator(BaseModel):

2
libs/experimental/langchain_experimental/tabular_synthetic_data/prompts.py
View File

@ -1,4 +1,4 @@
from langchain.prompts.prompt import PromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
DEFAULT_INPUT_KEY = "example"
DEFAULT_PROMPT = PromptTemplate(

2
libs/experimental/langchain_experimental/tot/thought_generation.py
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@ -10,7 +10,7 @@ from abc import abstractmethod
from typing import Any, Dict, List, Tuple
from langchain.chains.llm import LLMChain
from langchain.prompts.base import BasePromptTemplate
from langchain_core.prompts.base import BasePromptTemplate
from langchain_experimental.pydantic_v1 import Field
from langchain_experimental.tot.prompts import get_cot_prompt, get_propose_prompt

2
libs/experimental/tests/integration_tests/chains/test_cpal.py
View File

@ -7,8 +7,8 @@ from unittest import mock
import pytest
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts.prompt import PromptTemplate
from langchain_community.llms import OpenAI
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental import pydantic_v1 as pydantic
from langchain_experimental.cpal.base import (

2
libs/experimental/tests/integration_tests/chains/test_synthetic_data_openai.py
View File

@ -1,7 +1,7 @@
import pytest
from langchain.prompts.few_shot import FewShotPromptTemplate
from langchain.pydantic_v1 import BaseModel
from langchain_community.chat_models import ChatOpenAI
from langchain_core.prompts.few_shot import FewShotPromptTemplate
from langchain_experimental.tabular_synthetic_data.base import SyntheticDataGenerator
from langchain_experimental.tabular_synthetic_data.openai import (

2
libs/experimental/tests/unit_tests/rl_chain/test_pick_best_chain_call.py
View File

@ -1,8 +1,8 @@
from typing import Any, Dict
import pytest
from langchain.prompts.prompt import PromptTemplate
from langchain_community.chat_models import FakeListChatModel
from langchain_core.prompts.prompt import PromptTemplate
from test_utils import MockEncoder, MockEncoderReturnsList
import langchain_experimental.rl_chain.base as rl_chain

2
libs/experimental/tests/unit_tests/test_smartllm.py
View File

@ -1,7 +1,7 @@
"""Test SmartLLM."""
from langchain.prompts.prompt import PromptTemplate
from langchain_community.chat_models import FakeListChatModel
from langchain_community.llms import FakeListLLM
from langchain_core.prompts.prompt import PromptTemplate
from langchain_experimental.smart_llm import SmartLLMChain

8
libs/langchain/langchain/chains/ernie_functions/base.py
View File

@ -240,7 +240,7 @@ def create_ernie_fn_runnable(
from langchain.chains.ernie_functions import create_ernie_fn_chain
from langchain_community.chat_models import ErnieBotChat
from langchain.prompts import ChatPromptTemplate
from langchain_core.prompts import ChatPromptTemplate
from langchain.pydantic_v1 import BaseModel, Field
@ -314,7 +314,7 @@ def create_structured_output_runnable(
from langchain.chains.ernie_functions import create_structured_output_chain
from langchain_community.chat_models import ErnieBotChat
from langchain.prompts import ChatPromptTemplate
from langchain_core.prompts import ChatPromptTemplate
from langchain.pydantic_v1 import BaseModel, Field
class Dog(BaseModel):
@ -411,7 +411,7 @@ def create_ernie_fn_chain(
from langchain.chains.ernie_functions import create_ernie_fn_chain
from langchain_community.chat_models import ErnieBotChat
from langchain.prompts import ChatPromptTemplate
from langchain_core.prompts import ChatPromptTemplate
from langchain.pydantic_v1 import BaseModel, Field
@ -498,7 +498,7 @@ def create_structured_output_chain(
from langchain.chains.ernie_functions import create_structured_output_chain
from langchain_community.chat_models import ErnieBotChat
from langchain.prompts import ChatPromptTemplate
from langchain_core.prompts import ChatPromptTemplate
from langchain.pydantic_v1 import BaseModel, Field

3
libs/langchain/tests/unit_tests/agents/test_agent.py
View File

@ -19,7 +19,7 @@ from langchain_core.messages import (
HumanMessage,
ToolCall,
)
from langchain_core.prompts import MessagesPlaceholder
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables.utils import add
from langchain_core.tools import Tool
from langchain_core.tracers import RunLog, RunLogPatch
@ -33,7 +33,6 @@ from langchain.agents import (
initialize_agent,
)
from langchain.agents.output_parsers.openai_tools import OpenAIToolAgentAction
from langchain.prompts import ChatPromptTemplate
from langchain.tools import tool
from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
from tests.unit_tests.llms.fake_chat_model import GenericFakeChatModel