ValueError: Lark should be at least version 1.1.5, got 0.12.0

[hodgesz]

I am running langchain-0.0.190 on Python 3.11.3 and receiving the following error when I try to execute this code. However, 1.1.5 isn't a valid version for Lark.

from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.experimental.plan_and_execute import (
PlanAndExecute,
load_agent_executor,
load_chat_planner
)

memory = ConversationBufferMemory(memory_key='chat_history')
planner = load_chat_planner(llm)
executor = load_agent_executor(llm, tools, verbose=True)

agent = PlanAndExecute(
planner=planner,
executor=executor,
verbose=True,
reduce_k_below_max_tokens=True
)

---

ValueError Traceback (most recent call last)
Cell In[21], line 3
1 from langchain.agents import initialize_agent
2 from langchain.agents import AgentType
----> 3 from langchain.experimental.plan_and_execute import (
4 PlanAndExecute,
5 load_agent_executor,
6 load_chat_planner
7 )
9 memory = ConversationBufferMemory(memory_key='chat_history')
10 planner = load_chat_planner(llm)

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/experimental/init.py:3
1 from langchain.experimental.autonomous_agents.autogpt.agent import AutoGPT
2 from langchain.experimental.autonomous_agents.baby_agi.baby_agi import BabyAGI
----> 3 from langchain.experimental.generative_agents.generative_agent import GenerativeAgent
4 from langchain.experimental.generative_agents.memory import GenerativeAgentMemory
5 from langchain.experimental.plan_and_execute import (
6 PlanAndExecute,
7 load_agent_executor,
8 load_chat_planner,
9 )

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/experimental/generative_agents/init.py:2
1 """Generative Agents primitives."""
----> 2 from langchain.experimental.generative_agents.generative_agent import GenerativeAgent
3 from langchain.experimental.generative_agents.memory import GenerativeAgentMemory
5 all = ["GenerativeAgent", "GenerativeAgentMemory"]

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/experimental/generative_agents/generative_agent.py:9
7 from langchain import LLMChain
8 from langchain.base_language import BaseLanguageModel
----> 9 from langchain.experimental.generative_agents.memory import GenerativeAgentMemory
10 from langchain.prompts import PromptTemplate
13 class GenerativeAgent(BaseModel):

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/experimental/generative_agents/memory.py:9
7 from langchain.base_language import BaseLanguageModel
8 from langchain.prompts import PromptTemplate
----> 9 from langchain.retrievers import TimeWeightedVectorStoreRetriever
10 from langchain.schema import BaseMemory, Document
11 from langchain.utils import mock_now

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/retrievers/init.py:12
10 from langchain.retrievers.pupmed import PubMedRetriever
11 from langchain.retrievers.remote_retriever import RemoteLangChainRetriever
---> 12 from langchain.retrievers.self_query.base import SelfQueryRetriever
13 from langchain.retrievers.svm import SVMRetriever
14 from langchain.retrievers.tfidf import TFIDFRetriever

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/retrievers/self_query/base.py:8
6 from langchain import LLMChain
7 from langchain.base_language import BaseLanguageModel
----> 8 from langchain.chains.query_constructor.base import load_query_constructor_chain
9 from langchain.chains.query_constructor.ir import StructuredQuery, Visitor
10 from langchain.chains.query_constructor.schema import AttributeInfo

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/chains/query_constructor/base.py:14
8 from langchain.base_language import BaseLanguageModel
9 from langchain.chains.query_constructor.ir import (
10 Comparator,
11 Operator,
12 StructuredQuery,
13 )
---> 14 from langchain.chains.query_constructor.parser import get_parser
15 from langchain.chains.query_constructor.prompt import (
16 DEFAULT_EXAMPLES,
17 DEFAULT_PREFIX,
(...)
22 SCHEMA_WITH_LIMIT,
23 )
24 from langchain.chains.query_constructor.schema import AttributeInfo

File /opt/homebrew/Caskroom/miniforge/base/envs/w207_final/lib/python3.11/site-packages/langchain/chains/query_constructor/parser.py:8
5 from packaging import version
7 if version.parse(lark.version) < version.parse("1.1.5"):
----> 8 raise ValueError(
9 f"Lark should be at least version 1.1.5, got {lark.version}"
10 )
11 from lark import Lark, Transformer, v_args
12 except ImportError:

ValueError: Lark should be at least version 1.1.5, got 0.12.0

pip install lark-parser==1.1.5
ERROR: Could not find a version that satisfies the requirement lark-parser==1.1.5 (from versions: 0.1.0, 0.1.1, 0.1.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.2.6, 0.2.7, 0.2.8, 0.2.9, 0.2.10, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.3.7, 0.4.0, 0.4.1, 0.5.0, 0.5.1, 0.5.2, 0.5.3, 0.5.4, 0.5.5, 0.5.6, 0.6.0, 0.6.1, 0.6.2, 0.6.3, 0.6.4, 0.6.5, 0.6.6, 0.6.7, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.7.4, 0.7.5, 0.7.6a1, 0.7.7, 0.7.8, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.8.6, 0.8.7, 0.8.8, 0.8.9, 0.9.0, 0.10.0, 0.10.1, 0.11.0rc1, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0)
ERROR: No matching distribution found for lark-parser==1.1.5

Any ideas?

[JackieQi]

I upgraded to langchain 0.0.201, the issue is gone.

[hodgesz]

Did you build from source? I tried both 'pip install langchain' and 'conda install langchain -c conda-forge' and still have 0.0.190 version of langchain with the issue.

[JackieQi]

I installed with specific version
pip install langchain==0.0.201

[hodgesz]

Thanks, that worked for me!

[start-life]

For me it did not solve the problem, there is the error
Attempting uninstall: langchain
Found existing installation: langchain 0.0.219
Uninstalling langchain-0.0.219:
Successfully uninstalled langchain-0.0.219
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
langflow 0.2.11 requires langchain<0.0.220,>=0.0.219, but you have langchain 0.0.201 which is incompatible.
Successfully installed langchain-0.0.201