Files
semantic-kernel/python/samples/kernel-syntax-examples/bing_plugin_examples.py
T
Evan Mattson 3553d623b1 Python: Fix create func from prompt missing args (#5339)
### Motivation and Context

There were missing function_name and plugin_name args from the create
function from prompt method in several kernel examples.

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### Description

Adding in the missing parameters.

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### Contribution Checklist

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- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
2024-03-06 15:12:09 +00:00

122 lines
4.0 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
import semantic_kernel as sk
import semantic_kernel.connectors.ai.open_ai as sk_oai
from semantic_kernel.connectors.search_engine import BingConnector
from semantic_kernel.core_plugins import WebSearchEnginePlugin
from semantic_kernel.functions.kernel_arguments import KernelArguments
from semantic_kernel.prompt_template.kernel_prompt_template import KernelPromptTemplate
from semantic_kernel.prompt_template.prompt_template_config import PromptTemplateConfig
async def example1(kernel: sk.Kernel, search_plugin_name: str):
print("======== Bing and Google Search Plugins ========")
question = "What's the largest building in the world?"
function = kernel.plugins[search_plugin_name]["search"]
result = await kernel.invoke(function, query=question)
print(question)
print(f"----{search_plugin_name}----")
print(result)
async def example2(kernel: sk.Kernel, service_id: str):
print("======== Use the Search Plugin to Answer User Questions ========")
prompt = """
Answer questions only when you know the facts or the information is provided.
When you don't have sufficient information you reply with a list of commands to find the information needed.
When answering multiple questions, use a bullet point list.
Note: make sure single and double quotes are escaped using a backslash char.
[COMMANDS AVAILABLE]
- bing.search
[INFORMATION PROVIDED]
{{ $externalInformation }}
[EXAMPLE 1]
Question: what's the biggest lake in Italy?
Answer: Lake Garda, also known as Lago di Garda.
[EXAMPLE 2]
Question: what's the biggest lake in Italy? What's the smallest positive number?
Answer:
* Lake Garda, also known as Lago di Garda.
* The smallest positive number is 1.
[EXAMPLE 3]
Question: what's Ferrari stock price? Who is the current number one female tennis player in the world?
Answer:
{{ '{{' }} bing.search ""what\\'s Ferrari stock price?"" {{ '}}' }}.
{{ '{{' }} bing.search ""Who is the current number one female tennis player in the world?"" {{ '}}' }}.
[END OF EXAMPLES]
[TASK]
Question: {{ $question }}.
Answer:
"""
question = "Who is the most followed person on TikTok right now? What's the exchange rate EUR:USD?"
print(question)
oracle = kernel.create_function_from_prompt(
function_name="oracle",
plugin_name="OraclePlugin",
template=prompt,
execution_settings=sk_oai.OpenAIChatPromptExecutionSettings(
service_id=service_id, max_tokens=150, temperature=0, top_p=1
),
)
answer = await kernel.invoke(
oracle,
question=question,
externalInformation="",
)
result = str(answer)
if "bing.search" in result:
prompt_template = KernelPromptTemplate(PromptTemplateConfig(template=result))
print("--- Fetching information from Bing... ---")
information = await prompt_template.render(kernel, KernelArguments())
print("Information found:\n")
print(information)
answer = await kernel.invoke(oracle, question=question, externalInformation=information)
print("\n---- Oracle's Answer ----:\n")
print(answer)
else:
print("AI had all of the information, there was no need to query Bing.")
async def main():
kernel = sk.Kernel()
model = "gpt-3.5-turbo-1106"
service_id = model
api_key, org_id = sk.openai_settings_from_dot_env()
kernel.add_service(
sk_oai.OpenAIChatCompletion(service_id=service_id, ai_model_id=model, api_key=api_key, org_id=org_id),
)
bing_api_key = sk.bing_search_settings_from_dot_env()
assert bing_api_key is not None
bing_connector = BingConnector(api_key=bing_api_key)
bing = WebSearchEnginePlugin(bing_connector)
kernel.import_plugin_from_object(bing, "bing")
await example1(kernel, "bing")
await example2(kernel, service_id)
if __name__ == "__main__":
asyncio.run(main())