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Azure OpenAI

Use your own Azure OpenAI or Azure AI Foundry deployment with ShopAssist: resource URL, deployment name and base model.

Create a deployment

As of October 2026, in the Azure portal or Azure AI Foundry:

  1. Create an Azure OpenAI resource in an EU region.
  2. In Deployments → Deploy model, deploy a chat model with the deployment type Data Zone Standard (EU) or a regional EU deployment. Note the deployment name.
  3. Under Keys and Endpoint, copy a key and the endpoint, for example https://contoso-ai.openai.azure.com/.

Account tier

Any Azure subscription with Azure OpenAI access. Quota is set per deployment (tokens per minute).

Recommended models

Models you can use with your own key
ModelTierContext windowImagesProcessing
GPT-6 Luna (Azure EU Data Zone) gpt-6-lunaStandard1,050,000 tokensYesEU
GPT-6 Sol (Azure EU Data Zone) gpt-6-solPremium1,050,000 tokensYesEU

Fields

FieldNotes
Base URLhttps://<resource>.openai.azure.com/openai/v1/ (also services.ai.azure.com and cognitiveservices.azure.com hosts)
API keyFrom Keys and Endpoint
ModelThe deployment name, not the model name
Base modelThe model behind the deployment, so ShopAssist knows its capabilities

Without a base model and with a deployment name that isn't a known model id, capabilities come from the connection test only and the dashboard shows azure_base_model_unknown.

Data location

Data location

Use an EU Data Zone or EU regional deployment. Global deployments may process data anywhere.

Connection test

Checks run by Test connection
CheckRequiredWhat it testsOn failure
authYesThe key is accepted (lists models or sends a tiny request)auth_failed, insufficient_quota, gemini_free_tier, endpoint_blocked, provider_unavailable, model_not_found
toolsYesThe model calls a tool with valid arguments and continues after the resulttools_unsupported: the model can't run the shopping tools
ttftNo (degraded)The first answer event arrives within 8 secondsttft_slow: works, but shoppers wait
parallel_toolsNoTwo tools are called in one stepparallel_tools_unsupported: slightly slower answers
visionNoThe model names the colour of a test imagevision_unsupported: visual search is off
contextSelf-hosted onlyA fact at the start of an 8,000-token prompt is recalledcontext_too_small: the endpoint truncates prompts

Cost

What your own AI key costs

Estimate based on list prices on 2026-09-28; your provider bills you directly.

Estimated provider cost per 1,000 conversations
ProviderModelUSD per 1,000 conversations≈ EUR per 1,000 conversations
Azure OpenAIGPT-6 Luna$3.61€3.10
MistralMistral Small 4$4.71€4.05
OpenAIGPT-5.6 Luna$7.62€6.55
Google GeminiGemini 3.1 Flash-Lite$8.85€7.61
OpenAIGPT-5 mini$9.85€8.47
Google GeminiGemini 3.5 Flash-Lite$12.02€10.34
MistralMistral Large 3$14.70€12.64
OpenAIGPT-5.4 mini$26.55€22.83
AnthropicClaude Haiku 4.5$36.10€31.05
AnthropicClaude Sonnet 5$72.20€62.09

Troubleshooting

  • 401 / auth_failed: the key belongs to another resource, or was rotated.
  • model_not_found: the deployment name is wrong, or the deployment was deleted.
  • 429 / rate_limited: raise the deployment's tokens-per-minute quota.
  • content_filtered: Azure's content filter blocked a request; review the filter configuration of the deployment.

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