LangChain

LangCain is software that allows to build applications based on LLMs.

Setup

Typically, you must export the API key corresponding to the model type you want to use from your environment.

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The following cell shows the code that will only work if the “GOOGLE_API_KEY” variable exists in your environment with the corresponding value.

from langchain_google_genai import ChatGoogleGenerativeAI
llm = ChatGoogleGenerativeAI(model="gemini-1.5-flash")
ans = llm.invoke("Test request")
print(ans.content)

Please provide me with the details of the test you'd like to request.  To help me understand your request, please tell me:

* **What kind of test is it?** (e.g., unit test, integration test, performance test, usability test, A/B test, etc.)
* **What is the subject of the test?** (e.g., a specific piece of code, a website, a software application, a marketing campaign, etc.)
* **What are the goals of the test?** (e.g., to identify bugs, to measure performance, to compare different versions, to assess user experience, etc.)
* **What are the inputs or data required for the test?** (e.g., specific files, parameters, user accounts, etc.)
* **What are the expected outputs or results?** (e.g., pass/fail status, performance metrics, user feedback, etc.)
* **What is the testing environment?** (e.g., operating system, browser, hardware specifications, etc.)
* **Are there any specific test cases or scenarios you want to include?**

The more information you provide, the better I can understand your request and potentially help you.