Azure OpenAI in Ihrer Daten-API-Referenz (klassisch)

Installiere die neuesten Pip-Pakete openai, azure-identity.

import os
from openai import AzureOpenAI
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

endpoint = os.environ.get("AzureOpenAIEndpoint")
deployment = os.environ.get("ChatCompletionsDeploymentName")
search_endpoint = os.environ.get("SearchEndpoint")
search_index = os.environ.get("SearchIndex")

token_provider = get_bearer_token_provider(DefaultAzureCredential(), "https://ai.azure.com/.default")

client = AzureOpenAI(
    azure_endpoint=endpoint,
    azure_ad_token_provider=token_provider,
    api_version="2024-05-01-preview",
)

completion = client.chat.completions.create(
    model=deployment,
    messages=[
        {
            "role": "user",
            "content": "Who is DRI?",
        },
        {
            "role": "assistant",
            "content": "DRI stands for Directly Responsible Individual of a service. Which service are you asking about?"
        },
        {
            "role": "user",
            "content": "Opinion mining service"
        }
    ],
    extra_body={
        "data_sources": [
            {
                "type": "azure_search",
                "parameters": {
                    "endpoint": search_endpoint,
                    "index_name": search_index,
                    "authentication": {
                        "type": "system_assigned_managed_identity"
                    }
                }
            }
        ]
    }
)

print(completion.model_dump_json(indent=2))

# render the citations

content = completion.choices[0].message.content
context = completion.choices[0].message.context
for citation_index, citation in enumerate(context["citations"]):
    citation_reference = f"[doc{citation_index + 1}]"
    url = "https://example.com/?redirect=" + citation["url"] # replace with actual host and encode the URL
    filepath = citation["filepath"]
    title = citation["title"]
    snippet = citation["content"]
    chunk_id = citation["chunk_id"]
    replaced_html = f"<a href='{url}' title='{title}\n{snippet}''>(See from file {filepath}, Part {chunk_id})</a>"
    content = content.replace(citation_reference, replaced_html)
print(content)

az rest --method POST \
 --uri $AzureOpenAIEndpoint/openai/deployments/$ChatCompletionsDeploymentName/chat/completions?api-version=2024-05-01-preview \
 --resource https://cognitiveservices.azure.com/ \
 --body \
'
{
    "data_sources": [
        {
            "type": "azure_search",
            "parameters": {
                "endpoint": "'$SearchEndpoint'",
                "index_name": "'$SearchIndex'",
                "authentication": {
                    "type": "system_assigned_managed_identity"
                }
            }
        }
    ],
    "messages": [
        {
            "role": "user",
            "content": "Who is DRI?"
        },
        {
            "role": "assistant",
            "content": "DRI stands for Directly Responsible Individual of a service. Which service are you asking about?"
        },
        {
            "role": "user",
            "content": "Opinion mining service"
        }
    ]
}
'