Issue you'd like to raise.

I have a valid serpapi API key that I can use in the serpapi playground and with direct calls using python requests, but when I use it with Langchain I get an error saying that the key is invalid. I have my key set as environment variable, but I continue to get this error:

ValueError: Got error from SerpAPI: Invalid API key. Your API key should be here: https://serpapi.com/manage-api-key

I have even got a new API key with the same results. I have tried Pydroid3 for Android, Ubuntu in Termux for Android (64 bit), and Ubuntu in AWS ec2, with the same result.

Suggestion:

No response

Answer generated by a 🤖

Answer

I'm sorry to hear that you're experiencing issues with using your Serpapi API key with LangChain. I'm not familiar with this specific error, but I'll do my best to help you troubleshoot.

To start, could you please provide the version of LangChain you are using? This information will help me narrow down the possible causes of the issue.

Additionally, it would be helpful if you could provide any error logs or code snippets related to the error you're encountering. This will give me more context to work with and help me understand the problem better.

Please let me know the LangChain version you are using and provide any relevant error logs or code snippets.

This response is meant to be useful, save you time, and share context. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

My Langchain version is 0.0.237. Here is the entire error output:

Entering new AgentExecutor chain... I need to find out who Leo DiCaprio's girlfriend is and then calculate her age raised to the 0.43 power. Action: Search Action Input: "Leo DiCaprio girlfriend"Traceback (most recent call last): File "/root/Chain/chain.py", line 20, in agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?") File "/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py", line 440, in run return self(args[0], callbacks=callbacks, tags=tags, metadata=metadata)[ File "/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py", line 243, in call raise e File "/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py", line 237, in call self._call(inputs, run_manager=run_manager) File "/usr/local/lib/python3.10/dist-packages/langchain/agents/agent.py", line 1010, in _call next_step_output = self._take_next_step( File "/usr/local/lib/python3.10/dist-packages/langchain/agents/agent.py", line 871, in _take_next_step observation = tool.run( File "/usr/local/lib/python3.10/dist-packages/langchain/tools/base.py", line 320, in run raise e File "/usr/local/lib/python3.10/dist-packages/langchain/tools/base.py", line 292, in run self._run(*tool_args, run_manager=run_manager, *tool_kwargs) File "/usr/local/lib/python3.10/dist-packages/langchain/tools/base.py", line 450, in _run else self.func(args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/langchain/utilities/serpapi.py", line 85, in run return self._process_response(self.results(query)) File "/usr/local/lib/python3.10/dist-packages/langchain/utilities/serpapi.py", line 131, in _process_response raise ValueError(f"Got error from SerpAPI: {res['error']}") ValueError: Got error from SerpAPI: Invalid API key. Your API key should be here: https://serpapi.com/manage-api-key

On Wed, Jul 19, 2023, 6:59 PM dosu-beta[bot] @.***> wrote:

Answer generated by a 🤖 Answer

I'm sorry to hear that you're experiencing issues with using your Serpapi API key with LangChain. I'm not familiar with this specific error, but I'll do my best to help you troubleshoot.

To start, could you please provide the version of LangChain you are using? This information will help me narrow down the possible causes of the issue.

Additionally, it would be helpful if you could provide any error logs or code snippets related to the error you're encountering. This will give me more context to work with and help me understand the problem better.

Please let me know the LangChain version you are using and provide any relevant error logs or code snippets.

This response is meant to be useful, save you time, and share context. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

— Reply to this email directly, view it on GitHub https://github.com/hwchase17/langchain/issues/7971#issuecomment-1642911958, or unsubscribe https://github.com/notifications/unsubscribe-auth/AXG3DUE3XAR7XAGHTHEZNMDXRBYHHANCNFSM6AAAAAA2QUD7OQ . You are receiving this because you authored the thread.Message ID: @.***>

Answer generated by a 🤖

Answer

I understand that you're experiencing an issue with your Serpapi API key when using it with LangChain. Despite the key being valid and working with direct calls and in the Serpapi playground, you're receiving an error message indicating an invalid API key. This issue persists across different platforms and even after obtaining a new API key.

The error message suggests that the Serpapi key you're using is not being recognized as valid. This could potentially be due to the key not being correctly set in the environment variables, which is where LangChain looks for it.

Here's how you can address this issue:

You can set the Serpapi key as an environment variable in your Python script like this:

import os

os.environ["SERPER_API_KEY"] = "your_actual_serpapi_key_here"

Alternatively, you can pass the Serpapi key as a named parameter when creating an instance of the GoogleSerperAPIWrapper class:

from langchain.utilities.google_serper import GoogleSerperAPIWrapper

google_serper = GoogleSerperAPIWrapper(serper_api_key="your_actual_serpapi_key_here")

Please ensure that you run the code that sets the API key before you initialize the LangChain component.

This is one potential solution to your problem. If this doesn't resolve your issue, it might be worth checking if you're using the latest version of LangChain, as the problem could be due to a bug that has been fixed in a more recent version.

If you find that this solution is correct and you believe this is a bug that could impact other users, we encourage you to make a pull request to help improve LangChain.

Sources

This response is meant to be useful, save you time, and share context. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

Ok, I feel like a dummy. I actually signed up for an API called "SerpWow" instead of "Serpapi", and I was using that API key 😂🤦. I just signed up for the real Serpapi, and everything is now working correctly. Thank you for your help, and this issue can be considered closes.

On Wed, Jul 19, 2023, 7:12 PM dosu-beta[bot] @.***> wrote:

Answer generated by a 🤖 Answer

I understand that you're experiencing an issue with your Serpapi API key when using it with LangChain. Despite the key being valid and working with direct calls and in the Serpapi playground, you're receiving an error message indicating an invalid API key. This issue persists across different platforms and even after obtaining a new API key.

The error message suggests that the Serpapi key you're using is not being recognized as valid. This could potentially be due to the key not being correctly set in the environment variables, which is where LangChain looks for it.

Here's how you can address this issue:

You can set the Serpapi key as an environment variable in your Python script like this:

import os os.environ["SERPER_API_KEY"] = "your_actual_serpapi_key_here"

Alternatively, you can pass the Serpapi key as a named parameter when creating an instance of the GoogleSerperAPIWrapper class:

from langchain.utilities.google_serper import GoogleSerperAPIWrapper google_serper = GoogleSerperAPIWrapper(serper_api_key="your_actual_serpapi_key_here")

Please ensure that you run the code that sets the API key before you initialize the LangChain component.

This is one potential solution to your problem. If this doesn't resolve your issue, it might be worth checking if you're using the latest version of LangChain, as the problem could be due to a bug that has been fixed in a more recent version.

If you find that this solution is correct and you believe this is a bug that could impact other users, we encourage you to make a pull request to help improve LangChain. Sources

docs/extras/guides/langsmith/walkthrough.ipynb https://github.com/hwchase17/langchain/blob/-/docs/extras/guides/langsmith/walkthrough.ipynb

langchain/utilities/serpapi.py https://github.com/hwchase17/langchain/blob/-/langchain/utilities/serpapi.py

langchain/utilities/google_serper.py https://github.com/hwchase17/langchain/blob/-/langchain/utilities/google_serper.py

This response is meant to be useful, save you time, and share context. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

— Reply to this email directly, view it on GitHub https://github.com/hwchase17/langchain/issues/7971#issuecomment-1642921352, or unsubscribe https://github.com/notifications/unsubscribe-auth/AXG3DUHY2YBMRMZSKDDOSXLXRBZVVANCNFSM6AAAAAA2QUD7OQ . You are receiving this because you authored the thread.Message ID: @.***>

import os import sys

You need to create your own key.

GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY') print('GOOGLE_API_KEY:', GOOGLE_API_KEY)

HuggingFace API Key for LMMChain

HUGGINGFACEHUB_API_KEY = os.getenv('HUGGINGFACEHUB_API_KEY') print('HUGGINGFACEHUB_API_KEY:', HUGGINGFACEHUB_API_KEY)

Google Search Platform

GOOGLE_SERP_API_KEY = os.getenv('GOOGLE_SERP_API_KEY') print('GOOGLE_SERP_API_KEY:', GOOGLE_SERP_API_KEY)

In jupyter Notebook

!pip install google-search-results # Google Search !pip install numexpr # LLM Math

from langchain.agents import AgentType, initialize_agent, load_tools

from langchain.llms import OpenAI

from langchain_google_genai import ChatGoogleGenerativeAI

llm = OpenAI(temperature=0)

llm=ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=GOOGLE_API_KEY)

The tools we'll give the Agent access to. Note that the 'llm-math' tool uses an LLM, so we need to pass that in.

tools = load_tools(["serpapi", "llm-math"], llm=llm)

from langchain.utilities.google_serper import GoogleSerperAPIWrapper

google_serper = GoogleSerperAPIWrapper(serper_api_key="your_actual_serpapi_key_here")

google_serper = GoogleSerperAPIWrapper(serper_api_key=GOOGLE_SERP_API_KEY)

tools = load_tools(["serpapi", "llm-math"], llm=llm)

tools = load_tools(["serpapi", "llm-math"], llm=llm, serpapi_api_key = GOOGLE_SERP_API_KEY )

Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.

agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)

Let's test it out!

agent.run("What was the GDP of US in 2022 plus 5?")

below is the answer from Gimini, LangChain, Serp (require key). LLM-math (use HuggingFace Key).

Entering new AgentExecutor chain... Action: Search Action Input: What was the GDP of US in 2022 Observation: ["The U.S. is a country of 50 states covering a vast swath of North America, with Alaska in the northwest and Hawaii extending the nation’s presence into the Pacific Ocean. Major Atlantic Coast cities are New York, a global finance and culture center, and capital Washington, DC. Midwestern metropolis Chicago is known for influential architecture and on the west coast, Los Angeles' Hollywood is famed for filmmaking. ― Google", 'United States type: Country in North America.', 'United States entity_type: countries, locations, travel, competitions, military, travel.', 'United States kgmid: /m/09c7w0.', 'Current-dollar GDP increased 9.2 percent, or $2.15 trillion, in 2022 to a level of $25.46 trillion, compared with an increase of 10.7 percent, ...', 'Real gross domestic product (GDP) increased at an annual rate of 1.6 percent in the first quarter of 2024, according to the “advance” estimate.', 'U.S. annual GDP 1990-2023 ... In 2023, the U.S. GDP increased from the previous year to about 27.36 trillion U.S. dollars. This increase in GDP ...', 'The Gross Domestic Product (GDP) in the United States was worth 25439.70 billion US dollars in 2022, according to official data from the World Bank.', 'GDP in United States grows 0.4% ; 2022, €72,440, $76,343, 23.9%, 10.3% ; 2021, €58,492, $69,227, 5.8%, 9.8%.', 'Real GDP (constant, inflation adjusted) of the United States of America reached $18,924,600,000,000 in 2022. GDP Growth Rate in 2022 was 2.06%, representing a ...', 'U.S. gdp for 2022 was $25,439.70B, a 9.11% increase from 2021. U.S. gdp for 2021 was $23,315.08B, a 10.71% increase from 2020. U.S. gdp for 2020 was ...', 'GDP Growth Rate in the United States is expected to be 1.50 percent by the end of this quarter, according to Trading Economics global macro models and analysts ...', 'Measured from the fourth quarter of 2022 to the fourth quarter of 2023, real GDP increased 3.1 percent during the period compared with an ...', 'US gross domestic product (GDP) increased 1.9% in 2022 and another 2.5% in 2023. Year-over-year inflation — the rate at which consumer prices increase — was 3.1 ...'] Thought:Action: Calculator Action Input: 25.46 + 5 Observation: Answer: 30.46 Thought:Final Answer: 30.46

Finished chain. '30.46'

langchain-ai / langchain

Serpapi API key not working with Langchain #7971

Issue you'd like to raise.

Suggestion:

Answer

Please let me know the LangChain version you are using and provide any relevant error logs or code snippets.

Answer

Sources

You need to create your own key.

HuggingFace API Key for LMMChain

Google Search Platform

In jupyter Notebook

from langchain.llms import OpenAI

llm = OpenAI(temperature=0)

The tools we'll give the Agent access to. Note that the 'llm-math' tool uses an LLM, so we need to pass that in.

tools = load_tools(["serpapi", "llm-math"], llm=llm)

google_serper = GoogleSerperAPIWrapper(serper_api_key="your_actual_serpapi_key_here")

tools = load_tools(["serpapi", "llm-math"], llm=llm)

Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.

Let's test it out!

below is the answer from Gimini, LangChain, Serp (require key). LLM-math (use HuggingFace Key).