Add Azure gpt-chat-latest model metadata

litellm/model_prices_and_context_window_backup.json

@@ -3888,6 +3888,39 @@
         "supports_tool_choice": true,
         "supports_vision": true
     },
+    "azure/gpt-chat-latest": {
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "azure",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 16384,
+        "max_tokens": 16384,
+        "mode": "chat",
+        "output_cost_per_token": 3e-05,
+        "source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-openais-newest-chat-model-in-microsoft-foundry/4516848",
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/batch",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true
+    },
     "azure/gpt-5-codex": {
         "cache_read_input_token_cost": 1.25e-07,
         "input_cost_per_token": 1.25e-06,

model_prices_and_context_window.json

@@ -3888,6 +3888,39 @@
         "supports_tool_choice": true,
         "supports_vision": true
     },
+    "azure/gpt-chat-latest": {
+        "cache_read_input_token_cost": 5e-07,
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "azure",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 16384,
+        "max_tokens": 16384,
+        "mode": "chat",
+        "output_cost_per_token": 3e-05,
+        "source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-openais-newest-chat-model-in-microsoft-foundry/4516848",
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/batch",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true
+    },
     "azure/gpt-5-codex": {
         "cache_read_input_token_cost": 1.25e-07,
         "input_cost_per_token": 1.25e-06,

tests/test_litellm/test_azure_gpt_chat_latest_model_metadata.py

@@ -0,0 +1,78 @@
+import json
+from pathlib import Path
+
+import litellm
+from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+
+MODEL = "azure/gpt-chat-latest"
+SOURCE = "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-openais-newest-chat-model-in-microsoft-foundry/4516848"
+
+
+def _load_model_cost(path: Path) -> dict:
+    with open(path, encoding="utf-8") as f:
+        return json.load(f)
+
+
+def _assert_gpt_chat_latest_metadata(info: dict) -> None:
+    assert info["litellm_provider"] == "azure"
+    assert info["mode"] == "chat"
+
+    assert info["input_cost_per_token"] == 5e-06
+    assert info["cache_read_input_token_cost"] == 5e-07
+    assert info["output_cost_per_token"] == 3e-05
+
+    assert info["max_input_tokens"] == 128000
+    assert info["max_output_tokens"] == 16384
+    assert info["max_tokens"] == 16384
+
+    assert info["supports_function_calling"] is True
+    assert info["supports_native_streaming"] is True
+    assert info["supports_pdf_input"] is True
+    assert info["supports_prompt_caching"] is True
+    assert info["supports_reasoning"] is True
+    assert info["supports_response_schema"] is True
+    assert info["supports_system_messages"] is True
+    assert info["supports_tool_choice"] is True
+    assert info["supports_vision"] is True
+
+
+def test_azure_gpt_chat_latest_model_info() -> None:
+    repo_root = Path(__file__).parents[2]
+    model_cost = _load_model_cost(repo_root / "model_prices_and_context_window.json")
+
+    info = model_cost.get(MODEL)
+    assert info is not None
+    assert info["source"] == SOURCE
+    assert info["supported_endpoints"] == [
+        "/v1/chat/completions",
+        "/v1/batch",
+        "/v1/responses",
+    ]
+    assert info["supported_modalities"] == ["text", "image"]
+    assert info["supported_output_modalities"] == ["text"]
+    assert info["supports_parallel_function_calling"] is True
+    _assert_gpt_chat_latest_metadata(info)
+
+    routed_model, provider, _, _ = get_llm_provider(model=MODEL)
+    assert routed_model == "gpt-chat-latest"
+    assert provider == "azure"
+
+
+def test_azure_gpt_chat_latest_get_model_info(monkeypatch) -> None:
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    monkeypatch.setattr(litellm, "model_cost", litellm.get_model_cost_map(url=""))
+
+    info = litellm.get_model_info(model="gpt-chat-latest", custom_llm_provider="azure")
+    _assert_gpt_chat_latest_metadata(info)
+    assert info["key"] == MODEL
+
+
+def test_azure_gpt_chat_latest_backup_matches_main() -> None:
+    repo_root = Path(__file__).parents[2]
+    main_cost = _load_model_cost(repo_root / "model_prices_and_context_window.json")
+    backup_cost = _load_model_cost(
+        repo_root / "litellm" / "model_prices_and_context_window_backup.json"
+    )
+
+    assert backup_cost.get(MODEL) == main_cost.get(MODEL)