wehub-resource-sync
30 lines
1.3 KiB
Bash
30 lines
1.3 KiB
Bash
# Microsoft Foundry Project (Required for most lessons)
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# Your Microsoft Foundry project endpoint
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AZURE_AI_PROJECT_ENDPOINT="https://..."
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# Model deployment name in your Foundry project (e.g., gpt-4o)
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AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"
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# Azure OpenAI (Responses API - used by lessons that call the model directly)
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# The Responses API uses the stable /openai/v1/ endpoint - no api_version needed.
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# NOTE: GitHub Models is deprecated (retiring July 2026) and does NOT support the
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# Responses API. All samples now use Azure OpenAI with the Responses API instead.
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AZURE_OPENAI_ENDPOINT="https://<your-resource>.openai.azure.com"
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AZURE_OPENAI_DEPLOYMENT="gpt-4o-mini"
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# Optional: use a key instead of Entra ID / AzureCliCredential
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AZURE_OPENAI_API_KEY="..."
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# Azure AI Search (Required for Lesson 05 - Agentic RAG)
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AZURE_SEARCH_SERVICE_ENDPOINT="https://..."
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AZURE_SEARCH_API_KEY="..."
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# Azure AI Bing Connection (Required for Lesson 08 - Bing grounding workflow)
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BING_CONNECTION_ID="..."
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# MiniMax (Alternative OpenAI-compatible provider)
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# MiniMax offers large-context models (up to 204K tokens) via an OpenAI-compatible API.
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# Get your API key from https://platform.minimaxi.com/
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MINIMAX_API_KEY="..."
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MINIMAX_BASE_URL="https://api.minimax.io/v1"
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MINIMAX_MODEL_ID="MiniMax-M3"
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