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Dmytro Struk 46e8c1e68b Python: .Net: Update dotnet notebooks to use SK 1.0.0-beta1 version (#3158 )

### Motivation and Context

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Resolves: https://github.com/microsoft/semantic-kernel/issues/3125
Resolves: https://github.com/microsoft/semantic-kernel/issues/2970
Resolves: https://github.com/microsoft/semantic-kernel/issues/3124

This PR contains changes in dotnet notebooks to upgrade SK package
version to `1.0.0-beta1`, necessary syntax changes in code examples and
`skills` to `plugins` renaming.

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [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 😄

2023-10-12 09:59:11 +00:00

3.3 KiB

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Setup

Step 1: Import Semantic Kernel SDK from pypi.org

In [ ]:

!python -m pip install semantic-kernel==0.3.10.dev0

In [ ]:

import semantic_kernel as sk

kernel = sk.Kernel()

Option 1: using OpenAI

Step 2: Add your OpenAI Key key to a .env file in the same folder (org Id only if you have multiple orgs):

OPENAI_API_KEY="sk-..."
OPENAI_ORG_ID=""

and add OpenAI Chat Completion to the kernel:

In [ ]:

from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion

api_key, org_id = sk.openai_settings_from_dot_env()

kernel.add_chat_service("chat-gpt", OpenAIChatCompletion("gpt-3.5-turbo", api_key, org_id))

Option 2: using Azure OpenAI

Step 2: Add your Azure Open AI Service key settings to a .env file in the same folder:

AZURE_OPENAI_API_KEY="..."
AZURE_OPENAI_ENDPOINT="https://..."
AZURE_OPENAI_DEPLOYMENT_NAME="..."

and add Azure OpenAI Chat Completion to the kernel:

In [ ]:

from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion

deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()

kernel.add_chat_service("chat_completion", AzureChatCompletion(deployment, endpoint, api_key))

Run a Semantic Function

Step 3: Load a Skill and run a semantic function:

In [ ]:

skill = kernel.import_semantic_skill_from_directory("../../samples/skills", "FunSkill")
joke_function = skill["Joke"]

print(joke_function("time travel to dinosaur age"))

3.3 KiB Raw Blame History

Setup

Option 1: using OpenAI

Option 2: using Azure OpenAI

Run a Semantic Function

3.3 KiB

Raw Blame History