mirror of
https://github.com/langgenius/dify-plugin-sdks.git
synced 2026-07-22 02:15:22 -04:00
Yeuoly
cc4a611b0c
* feat: enhance PluginRunner to build plugins from source directories - Added functionality to the PluginRunner to detect if the plugin package path is a directory and build the plugin accordingly. - Introduced a new method `_build_plugin` to handle the building process and log the output. - Implemented resource cleanup for temporary directories used during the build process. - Updated integration tests to reflect changes in the mock server configuration by using a constant for the server port. * fix: linter
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
from yarl import URL
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from dify_plugin.config.integration_config import IntegrationConfig
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from dify_plugin.core.entities.plugin.request import ModelActions, ModelInvokeLLMRequest, PluginInvokeType
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from dify_plugin.entities.model import ModelType
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from dify_plugin.entities.model.llm import LLMResultChunk
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from dify_plugin.entities.model.message import UserPromptMessage
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from dify_plugin.integration.run import PluginRunner
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from tests.consts.mockserver import OPENAI_MOCK_SERVER_PORT
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_MARKETPLACE_API_URL = "https://marketplace.dify.ai"
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def test_invoke_llm():
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import requests
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# download latest langgenius-openai plugin
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url = str(URL(_MARKETPLACE_API_URL) / "api/v1/plugins/batch")
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response = requests.post(url, json={"plugin_ids": ["langgenius/openai"]}, timeout=10)
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latest_identifier = response.json()["data"]["plugins"][0]["latest_package_identifier"]
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url = str((URL(_MARKETPLACE_API_URL) / "api/v1/plugins/download").with_query(unique_identifier=latest_identifier))
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response = requests.get(url, timeout=10)
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# save the response to a file
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with open("langgenius-openai.difypkg", "wb") as f:
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f.write(response.content)
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# run the plugin
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with PluginRunner(config=IntegrationConfig(), plugin_package_path="langgenius-openai.difypkg") as runner:
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for result in runner.invoke(
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access_type=PluginInvokeType.Model,
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access_action=ModelActions.InvokeLLM,
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payload=ModelInvokeLLMRequest(
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prompt_messages=[
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UserPromptMessage(content="Hello, world!"),
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],
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user_id="",
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provider="openai",
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model_type=ModelType.LLM,
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model="gpt-3.5-turbo",
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credentials={
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"openai_api_base": f"http://localhost:{OPENAI_MOCK_SERVER_PORT}",
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"openai_api_key": "test",
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},
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model_parameters={},
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stop=[],
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tools=[],
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stream=False,
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),
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response_type=LLMResultChunk,
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):
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assert result.delta.message.content == "Hello, world!"
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