feat: input class registry and unregistered model fallback

.gitignore

@@ -158,3 +158,8 @@ uv.lock
 # Security reports
 bandit-report.json
 mureka.md
+
+# Temporary/audit files
+CHANGELOG_SINCE_RELEASE.md
+MIGRATION_AUDIT_REPORT.md
+scripts/

packages/capabilities/image-generation/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-image-generation"
-version = "0.3.5"
+version = "0.3.6"
 description = "Image generation package for Celeste AI. Unified interface for all providers"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 readme = "README.md"

packages/capabilities/image-generation/src/celeste_image_generation/__init__.py

@@ -2,17 +2,20 @@
 
 
 def register_package() -> None:
-    """Register image generation package (client and models)."""
+    """Register image generation package (client, models, and input)."""
     from celeste.client import register_client
     from celeste.core import Capability
+    from celeste.io import register_input
     from celeste.models import register_models
+    from celeste_image_generation.io import ImageGenerationInput
     from celeste_image_generation.models import MODELS
     from celeste_image_generation.providers import PROVIDERS
 
     for provider, client_class in PROVIDERS:
         register_client(Capability.IMAGE_GENERATION, provider, client_class)
 
     register_models(MODELS, capability=Capability.IMAGE_GENERATION)
+    register_input(Capability.IMAGE_GENERATION, ImageGenerationInput)
 
 
 from celeste_image_generation.io import (  # noqa: E402

packages/capabilities/speech-generation/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-speech-generation"
-version = "0.3.3"
+version = "0.3.6"
 description = "Speech generation package for Celeste AI. Unified interface for all providers"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 readme = "README.md"

packages/capabilities/speech-generation/src/celeste_speech_generation/__init__.py

@@ -2,17 +2,20 @@
 
 
 def register_package() -> None:
-    """Register speech generation package (client and models)."""
+    """Register speech generation package (client, models, and input)."""
     from celeste.client import register_client
     from celeste.core import Capability
+    from celeste.io import register_input
     from celeste.models import register_models
+    from celeste_speech_generation.io import SpeechGenerationInput
     from celeste_speech_generation.models import MODELS
     from celeste_speech_generation.providers import PROVIDERS
 
     for provider, client_class in PROVIDERS:
         register_client(Capability.SPEECH_GENERATION, provider, client_class)
 
     register_models(MODELS, capability=Capability.SPEECH_GENERATION)
+    register_input(Capability.SPEECH_GENERATION, SpeechGenerationInput)
 
 
 from celeste_speech_generation.io import (  # noqa: E402

packages/capabilities/text-generation/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-text-generation"
-version = "0.3.4"
+version = "0.3.6"
 description = "Text generation package for Celeste AI. Unified interface for all providers"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 readme = "README.md"

packages/capabilities/text-generation/src/celeste_text_generation/__init__.py

@@ -2,17 +2,20 @@
 
 
 def register_package() -> None:
-    """Register text generation package (client and models)."""
+    """Register text generation package (client, models, and input)."""
     from celeste.client import register_client
     from celeste.core import Capability
+    from celeste.io import register_input
     from celeste.models import register_models
+    from celeste_text_generation.io import TextGenerationInput
     from celeste_text_generation.models import MODELS
     from celeste_text_generation.providers import PROVIDERS
 
     for provider, client_class in PROVIDERS:
         register_client(Capability.TEXT_GENERATION, provider, client_class)
 
     register_models(MODELS, capability=Capability.TEXT_GENERATION)
+    register_input(Capability.TEXT_GENERATION, TextGenerationInput)
 
 
 from celeste_text_generation.io import (  # noqa: E402

packages/capabilities/video-generation/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-video-generation"
-version = "0.3.3"
+version = "0.3.6"
 description = "Video generation package for Celeste AI. Unified interface for all providers"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 readme = "README.md"

packages/capabilities/video-generation/src/celeste_video_generation/__init__.py

@@ -2,17 +2,20 @@
 
 
 def register_package() -> None:
-    """Register video generation package (client and models)."""
+    """Register video generation package (client, models, and input)."""
     from celeste.client import register_client
     from celeste.core import Capability
+    from celeste.io import register_input
     from celeste.models import register_models
+    from celeste_video_generation.io import VideoGenerationInput
     from celeste_video_generation.models import MODELS
     from celeste_video_generation.providers import PROVIDERS
 
     for provider, client_class in PROVIDERS:
         register_client(Capability.VIDEO_GENERATION, provider, client_class)
 
     register_models(MODELS, capability=Capability.VIDEO_GENERATION)
+    register_input(Capability.VIDEO_GENERATION, VideoGenerationInput)
 
 
 from celeste_video_generation.io import (  # noqa: E402

packages/capabilities/video-generation/src/celeste_video_generation/providers/byteplus/models.py

@@ -96,4 +96,20 @@
             ),
         },
     ),
+    Model(
+        id="seedance-1-5-pro-251215",
+        provider=Provider.BYTEPLUS,
+        capabilities={Capability.VIDEO_GENERATION},
+        display_name="Seedance 1.5 Pro",
+        parameter_constraints={
+            VideoGenerationParameter.DURATION: Range(min=4, max=12),
+            VideoGenerationParameter.RESOLUTION: Choice(options=["480p", "720p"]),
+            VideoGenerationParameter.FIRST_FRAME: ImageConstraint(
+                supported_mime_types=BYTEPLUS_SUPPORTED_MIME_TYPES,
+            ),
+            VideoGenerationParameter.LAST_FRAME: ImageConstraint(
+                supported_mime_types=BYTEPLUS_SUPPORTED_MIME_TYPES,
+            ),
+        },
+    ),
 ]

packages/providers/anthropic/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-anthropic"
-version = "0.3.3"
+version = "0.3.6"
 description = "Anthropic provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/bfl/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-bfl"
-version = "0.3.3"
+version = "0.3.6"
 description = "BFL (Black Forest Labs) provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/byteplus/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-byteplus"
-version = "0.3.3"
+version = "0.3.6"
 description = "BytePlus provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/cohere/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-cohere"
-version = "0.3.3"
+version = "0.3.6"
 description = "Cohere provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/elevenlabs/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-elevenlabs"
-version = "0.3.3"
+version = "0.3.6"
 description = "ElevenLabs provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/google/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-google"
-version = "0.3.3"
+version = "0.3.6"
 description = "Google (Gemini API) provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}
@@ -10,12 +10,12 @@ dependencies = ["celeste-ai", "httpx", "google-auth", "requests"]
 [tool.uv.sources]
 celeste-ai = { workspace = true }
 
+[project.entry-points."celeste.providers"]
+google = "celeste_google:register_provider"
+
 [build-system]
 requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
 packages = ["src/celeste_google"]
-
-[project.entry-points."celeste.providers"]
-google = "celeste_google:register_provider"

packages/providers/gradium/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-gradium"
-version = "0.3.3"
+version = "0.3.6"
 description = "Gradium provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/gradium/src/celeste_gradium/py.typed

@@ -1 +0,0 @@
-""

packages/providers/mistral/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-mistral"
-version = "0.3.3"
+version = "0.3.6"
 description = "Mistral provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/openai/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-openai"
-version = "0.3.3"
+version = "0.3.6"
 description = "OpenAI provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

packages/providers/xai/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-xai"
-version = "0.3.3"
+version = "0.3.6"
 description = "xAI provider package for Celeste AI"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 license = {text = "Apache-2.0"}

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "celeste-ai"
-version = "0.3.5"
+version = "0.3.6"
 description = "Open source, type-safe primitives for multi-modal AI. All capabilities, all providers, one interface"
 authors = [{name = "Kamilbenkirane", email = "kamil@withceleste.ai"}]
 readme = "README.md"
@@ -34,15 +34,15 @@ Repository = "https://github.com/withceleste/celeste-python"
 Issues = "https://github.com/withceleste/celeste-python/issues"
 
 [project.optional-dependencies]
-text-generation = ["celeste-text-generation>=0.3.3"]
-image-generation = ["celeste-image-generation>=0.3.3"]
-video-generation = ["celeste-video-generation>=0.3.3"]
-speech-generation = ["celeste-speech-generation>=0.3.3"]
+text-generation = ["celeste-text-generation>=0.3.6"]
+image-generation = ["celeste-image-generation>=0.3.6"]
+video-generation = ["celeste-video-generation>=0.3.6"]
+speech-generation = ["celeste-speech-generation>=0.3.6"]
 all = [
-    "celeste-text-generation>=0.3.3",
-    "celeste-image-generation>=0.3.3",
-    "celeste-video-generation>=0.3.3",
-    "celeste-speech-generation>=0.3.3",
+    "celeste-text-generation>=0.3.6",
+    "celeste-image-generation>=0.3.6",
+    "celeste-video-generation>=0.3.6",
+    "celeste-speech-generation>=0.3.6",
 ]
 
 [dependency-groups]

src/celeste/__init__.py

@@ -1,4 +1,5 @@
 import logging
+import warnings
 
 from pydantic import SecretStr
 
@@ -21,7 +22,7 @@
     ValidationError,
 )
 from celeste.http import HTTPClient, close_all_http_clients
-from celeste.io import Input, Output, Usage
+from celeste.io import Input, Output, Usage, get_input_class, register_input
 from celeste.models import Model, get_model, list_models, register_models
 from celeste.parameters import Parameters
 from celeste.registry import _load_from_entry_points
@@ -71,7 +72,26 @@ def _resolve_model(
     if isinstance(model, str):
         found = get_model(model, provider)
         if not found:
-            raise ModelNotFoundError(model_id=model, provider=provider)
+            if provider is None:
+                raise ModelNotFoundError(model_id=model, provider=provider)
+            if capability is None:
+                msg = (
+                    f"Model '{model}' not registered. Specify 'capability' explicitly."
+                )
+                raise ValueError(msg)
+            warnings.warn(
+                f"Model '{model}' not registered in Celeste for provider {provider.value}. "
+                "Parameter validation disabled.",
+                UserWarning,
+                stacklevel=3,
+            )
+            return Model(
+                id=model,
+                provider=provider,
+                display_name=model,
+                capabilities={capability},
+                streaming=True,
+            )
         return found
 
     return model
@@ -169,9 +189,11 @@ def create_client(
     "close_all_ws_clients",
     "create_client",
     "get_client_class",
+    "get_input_class",
     "get_model",
     "image_to_data_uri",
     "list_models",
     "register_client",
+    "register_input",
     "register_models",
 ]

src/celeste/io.py

@@ -4,6 +4,8 @@
 
 from pydantic import BaseModel, Field
 
+from celeste.core import Capability
+
 
 class Input(BaseModel):
     """Base class for capability-specific input types."""
@@ -41,4 +43,28 @@ class Chunk[Content](BaseModel):
     metadata: dict[str, Any] = Field(default_factory=dict)
 
 
-__all__ = ["Chunk", "FinishReason", "Input", "Output", "Usage"]
+_inputs: dict[Capability, type[Input]] = {}
+
+
+def register_input(capability: Capability, input_class: type[Input]) -> None:
+    """Register an Input class for a capability."""
+    _inputs[capability] = input_class
+
+
+def get_input_class(capability: Capability) -> type[Input]:
+    """Get the registered Input class for a capability."""
+    if capability not in _inputs:
+        msg = f"No Input class registered for capability: {capability}"
+        raise KeyError(msg)
+    return _inputs[capability]
+
+
+__all__ = [
+    "Chunk",
+    "FinishReason",
+    "Input",
+    "Output",
+    "Usage",
+    "get_input_class",
+    "register_input",
+]