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Copy file name to clipboardExpand all lines: articles/ai-services/openai/how-to/model-router.md
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@@ -40,6 +40,100 @@ In the [Azure AI Foundry portal](https://ai.azure.com/), you can navigate to you
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> [!IMPORTANT]
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> The `reasoning_effort` parameter (see the [Reasoning models guide](/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#reasoning-effort)) isn't supported in model router. If the model router selects a reasoning model for your prompt, it also selects a `reasoning_effort` input value based on the complexity of the prompt.
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### Output format
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The JSON response you receive from a model router model looks like the following.
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```json
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{
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"choices": [
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{
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"content_filter_results": {
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"hate": {
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"filtered": "False",
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"severity": "safe"
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},
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"protected_material_code": {
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"detected": "False",
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"filtered": "False"
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},
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"protected_material_text": {
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"detected": "False",
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"filtered": "False"
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},
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"self_harm": {
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"filtered": "False",
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"severity": "safe"
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},
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"sexual": {
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"filtered": "False",
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"severity": "safe"
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},
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"violence": {
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"filtered": "False",
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"severity": "safe"
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}
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},
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"finish_reason": "stop",
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"index": 0,
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"logprobs": "None",
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"message": {
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"content": "I'm doing well, thank you! How can I assist you today?",
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