ValueError: Missing some input keys: {''}

[yogi251579]

Checked other resources

• I added a very descriptive title to this question.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.

Commit to Help

• I commit to help with one of those options 👆

Example Code

from langchain_text_splitters import RecursiveCharacterTextSplitter
from langchain_community.vectorstores import FAISS
from langchain.chains import RetrievalQA
from langchain.embeddings import OllamaEmbeddings
from langchain.prompts import PromptTemplate
from langchain.llms import Ollama
from langchain_community.document_loaders import WebBaseLoader
from langchain.tools.retriever import create_retriever_tool
import os
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain.agents import initialize_agent, AgentType

# 1. Load and Split Documents
loader = WebBaseLoader("https://www.dasa.org")
docs = loader.load()

# Ensure text extraction
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)
documents = text_splitter.split_documents(docs)

# 2. Generate Embeddings and Create Vector Store
embeddings = OllamaEmbeddings(model="deepseek-r1")
vector = FAISS.from_documents(documents, embeddings)
retriever = vector.as_retriever()

# 3. Create Retriever Tool
retriever_tool = create_retriever_tool(
    retriever, "DASA_search", "Search for information about DASA. For any questions about DASA, you must use this tool"
)

# 4. Set Up Tavily Search
os.environ['TAVILY_API_KEY'] = "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"
search = TavilySearchResults()

# 5. Define LLM
llm = Ollama(model="deepseek-r1")

# 6. Define Tools
tools = [retriever_tool, search]

# 7. Initialize Agent with Correct Method
agent = initialize_agent(
    tools=tools,
    llm=llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,  # Corrected agent type
    verbose=True
)

# response = agent.run({'page_content', 'input'})
# print(response)
print(agent.input_keys)

response=agent.invoke({"input":"What is weather in Kuala Lumpur?","page_content":"https://www.dasa.org"})

print(response)


['', 'input', 'page_content']


> Entering new AgentExecutor chain...
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-62-e0fa272336b0> in <cell line: 0>()
     51 print(agent.input_keys)
     52 
---> 53 response=agent.invoke({"input":"What is weather in Kuala Lumpur?","page_content":"https://www.dasa.org"})
     54 
     55 print(response)

2 frames
/usr/local/lib/python3.11/dist-packages/langchain/chains/base.py in _validate_inputs(self, inputs)
    288         missing_keys = set(self.input_keys).difference(inputs)
    289         if missing_keys:
--> 290             raise ValueError(f"Missing some input keys: {missing_keys}")
    291 
    292     def _validate_outputs(self, outputs: Dict[str, Any]) -> None:

ValueError: Missing some input keys: {''}

Description

i tried more than a day, pls could any one solve this query.....

System Info

i tried in colab