feat: Add list of supported models for StackIT components

integrations/stackit/src/haystack_integrations/components/embedders/stackit/document_embedder.py

@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: 2023-present deepset GmbH <info@deepset.ai>
 #
 # SPDX-License-Identifier: Apache-2.0
-from typing import Any
+from typing import Any, ClassVar
 
 from haystack import component, default_to_dict
 from haystack.components.embedders import OpenAIDocumentEmbedder
@@ -30,6 +30,14 @@ class STACKITDocumentEmbedder(OpenAIDocumentEmbedder):
     ```
     """
 
+    SUPPORTED_MODELS: ClassVar[list[str]] = [
+        "intfloat/e5-mistral-7b-instruct",
+        "Qwen/Qwen3-VL-Embedding-8B",
+    ]
+    """A non-exhaustive list of embedding models supported by this component.
+    See https://docs.stackit.cloud/products/data-and-ai/ai-model-serving/basics/available-shared-models
+    for the full list."""
+
     def __init__(
         self,
         model: str,

integrations/stackit/src/haystack_integrations/components/embedders/stackit/text_embedder.py

@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: 2023-present deepset GmbH <info@deepset.ai>
 #
 # SPDX-License-Identifier: Apache-2.0
-from typing import Any
+from typing import Any, ClassVar
 
 from haystack import component, default_to_dict
 from haystack.components.embedders import OpenAITextEmbedder
@@ -23,6 +23,14 @@ class STACKITTextEmbedder(OpenAITextEmbedder):
     ```
     """
 
+    SUPPORTED_MODELS: ClassVar[list[str]] = [
+        "intfloat/e5-mistral-7b-instruct",
+        "Qwen/Qwen3-VL-Embedding-8B",
+    ]
+    """A non-exhaustive list of embedding models supported by this component.
+    See https://docs.stackit.cloud/products/data-and-ai/ai-model-serving/basics/available-shared-models
+    for the full list."""
+
     def __init__(
         self,
         model: str,

integrations/stackit/src/haystack_integrations/components/generators/stackit/chat/chat_generator.py

@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: 2025-present deepset GmbH <info@deepset.ai>
 #
 # SPDX-License-Identifier: Apache-2.0
-from typing import Any
+from typing import Any, ClassVar
 
 from haystack import component, default_to_dict
 from haystack.components.generators.chat import OpenAIChatGenerator
@@ -38,6 +38,19 @@ class STACKITChatGenerator(OpenAIChatGenerator):
     ```
     """
 
+    SUPPORTED_MODELS: ClassVar[list[str]] = [
+        "Qwen/Qwen3-VL-235B-A22B-Instruct-FP8",
+        "cortecs/Llama-3.3-70B-Instruct-FP8-Dynamic",
+        "openai/gpt-oss-120b",
+        "google/gemma-3-27b-it",
+        "openai/gpt-oss-20b",
+        "neuralmagic/Mistral-Nemo-Instruct-2407-FP8",
+        "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8",
+    ]
+    """A non-exhaustive list of chat models supported by this component.
+    See https://docs.stackit.cloud/products/data-and-ai/ai-model-serving/basics/available-shared-models
+    for the full list."""
+
     def __init__(
         self,
         model: str,

integrations/stackit/tests/test_stackit_chat_generator.py

@@ -63,6 +63,13 @@ def mock_chat_completion():
 
 
 class TestSTACKITChatGenerator:
+    def test_supported_models(self):
+        """SUPPORTED_MODELS is a non-empty list of strings."""
+        models = STACKITChatGenerator.SUPPORTED_MODELS
+        assert isinstance(models, list)
+        assert len(models) > 0
+        assert all(isinstance(m, str) for m in models)
+
     def test_init_default(self, monkeypatch):
         monkeypatch.setenv("STACKIT_API_KEY", "test-api-key")
         component = STACKITChatGenerator(model="neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8")

integrations/stackit/tests/test_stackit_document_embedder.py

@@ -11,6 +11,13 @@
 
 
 class TestSTACKITDocumentEmbedder:
+    def test_supported_models(self):
+        """SUPPORTED_MODELS is a non-empty list of strings."""
+        models = STACKITDocumentEmbedder.SUPPORTED_MODELS
+        assert isinstance(models, list)
+        assert len(models) > 0
+        assert all(isinstance(m, str) for m in models)
+
     def test_init_default(self, monkeypatch):
         monkeypatch.setenv("STACKIT_API_KEY", "test-api-key")
 

integrations/stackit/tests/test_stackit_text_embedder.py

@@ -10,6 +10,13 @@
 
 
 class TestSTACKITTextEmbedder:
+    def test_supported_models(self):
+        """SUPPORTED_MODELS is a non-empty list of strings."""
+        models = STACKITTextEmbedder.SUPPORTED_MODELS
+        assert isinstance(models, list)
+        assert len(models) > 0
+        assert all(isinstance(m, str) for m in models)
+
     def test_init_default(self, monkeypatch):
         monkeypatch.setenv("STACKIT_API_KEY", "test-api-key")