a simple intent detection implementaion

tests/metagpt/actions/di/test_detect_intent.py

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+import pytest
+
+from metagpt.actions.di.detect_intent import DetectIntent
+
+SOFTWARE_DEV_REQ1 = """
+I'd like to create a personalized website that features the 'Game of Life' simulation.
+"""
+
+SOFTWARE_DEV_REQ2 = """
+Create a website widget for TODO list management.
+"""
+
+SOFTWARE_DEV_REQ3 = """
+Create an official website with a top bar, banner, About Us section, and footer.
+"""
+
+DI_REQ1 = """
+can you finetune a 78 Llama model using https://github.com/huggingface/peft should be instructions in the Readme.
+"""
+
+DI_REQ2 = """
+I came across a blog post on the website Mafengwo (https://www.mafengwo.cn/i/17171539.html) that discusses the possibility of generating images with hidden text. The post refers to a script that can be used for this purpose. Could you help me set up this script and use it to generate some images? I would like the images to have the hidden text 'MAX' and also some with 'MetaGPT' as the hidden text.
+"""
+
+DI_REQ3 = """
+Extract all of the blog posts from `https://stripe.com/blog/page/1` and return a CSV with the columns `date`, `article_text`, `author` and `summary`. Generate a summary for each article yourself.
+"""
+
+FIX_BUG_REQ = """
+Fix this error from the 2048 game repo: TypeError: __init__() takes 1 positional argument but 2 were given"
+"""
+
+FORMAT_REPO_REQ = """
+git clone 'https://github.com/spec-first/connexion' and format to MetaGPT project
+"""
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "requirement, expected_intent_type",
+    [
+        (SOFTWARE_DEV_REQ1, "software development"),
+        (SOFTWARE_DEV_REQ2, "software development"),
+        (SOFTWARE_DEV_REQ3, "software development"),
+        (DI_REQ1, "other"),
+        (DI_REQ2, "other"),
+        (DI_REQ3, "other"),
+        (FIX_BUG_REQ, "fix bugs"),
+        (FORMAT_REPO_REQ, "format repo"),
+    ],
+)
+async def test_detect_intent(requirement, expected_intent_type):
+    di = DetectIntent()
+    _, intent_type = await di.run(requirement)
+    assert intent_type == expected_intent_type