feat: add ai-compatible API endpoints

app/schemas/__init__.py

@@ -11,6 +11,7 @@ from .monitoring import *
 from .plugin import *
 from .response import *
 from .rule import *
+from .openai import *
 from .servarr import *
 from .servcookie import *
 from .site import *
@@ -23,4 +24,3 @@ from .transfer import *
 from .user import *
 from .workflow import *
 from .mcp import *
-

app/schemas/openai.py

@@ -0,0 +1,156 @@
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class OpenAIModelInfo(BaseModel):
+    id: str
+    object: str = "model"
+    created: int
+    owned_by: str = "moviepilot"
+
+
+class OpenAIModelListResponse(BaseModel):
+    object: str = "list"
+    data: List[OpenAIModelInfo] = Field(default_factory=list)
+
+
+class OpenAIChatMessage(BaseModel):
+    role: str
+    content: Any
+    name: Optional[str] = None
+
+    model_config = ConfigDict(extra="allow")
+
+
+class OpenAIChatCompletionsRequest(BaseModel):
+    model: Optional[str] = None
+    messages: List[OpenAIChatMessage]
+    user: Optional[str] = None
+    stream: bool = False
+
+    model_config = ConfigDict(extra="allow")
+
+
+class OpenAIResponsesRequest(BaseModel):
+    model: Optional[str] = None
+    input: Any
+    instructions: Optional[str] = None
+    user: Optional[str] = None
+    stream: bool = False
+
+    model_config = ConfigDict(extra="allow")
+
+
+class OpenAIChatChoiceMessage(BaseModel):
+    role: str = "assistant"
+    content: str
+
+
+class OpenAIChatChoice(BaseModel):
+    index: int = 0
+    message: OpenAIChatChoiceMessage
+    finish_reason: str = "stop"
+
+
+class OpenAIUsage(BaseModel):
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    total_tokens: int = 0
+
+
+class OpenAIChatCompletionResponse(BaseModel):
+    id: str
+    object: str = "chat.completion"
+    created: int
+    model: str
+    choices: List[OpenAIChatChoice]
+    usage: OpenAIUsage
+
+
+class OpenAIResponsesOutputText(BaseModel):
+    type: str = "output_text"
+    text: str
+    annotations: List[Dict[str, Any]] = Field(default_factory=list)
+
+
+class OpenAIResponsesOutputMessage(BaseModel):
+    id: str
+    type: str = "message"
+    status: str = "completed"
+    role: str = "assistant"
+    content: List[OpenAIResponsesOutputText] = Field(default_factory=list)
+
+
+class OpenAIResponsesResponse(BaseModel):
+    id: str
+    object: str = "response"
+    created_at: int
+    status: str = "completed"
+    model: str
+    output: List[OpenAIResponsesOutputMessage] = Field(default_factory=list)
+    error: Optional[Any] = None
+    incomplete_details: Optional[Any] = None
+    usage: OpenAIUsage
+
+
+class OpenAIErrorDetail(BaseModel):
+    message: str
+    type: str = "invalid_request_error"
+    param: Optional[str] = None
+    code: Optional[str] = None
+
+
+class OpenAIErrorResponse(BaseModel):
+    error: OpenAIErrorDetail
+
+
+OpenAIChatContentPart = Dict[str, Any]
+
+
+class AnthropicMessage(BaseModel):
+    role: str
+    content: Any
+
+    model_config = ConfigDict(extra="allow")
+
+
+class AnthropicMessagesRequest(BaseModel):
+    model: Optional[str] = None
+    messages: List[AnthropicMessage]
+    system: Optional[Any] = None
+    max_tokens: Optional[int] = 1024
+    stream: bool = False
+
+    model_config = ConfigDict(extra="allow")
+
+
+class AnthropicTextBlock(BaseModel):
+    type: str = "text"
+    text: str
+
+
+class AnthropicUsage(BaseModel):
+    input_tokens: int = 0
+    output_tokens: int = 0
+
+
+class AnthropicMessagesResponse(BaseModel):
+    id: str
+    type: str = "message"
+    role: str = "assistant"
+    content: List[AnthropicTextBlock] = Field(default_factory=list)
+    model: str
+    stop_reason: str = "end_turn"
+    stop_sequence: Optional[str] = None
+    usage: AnthropicUsage = Field(default_factory=AnthropicUsage)
+
+
+class AnthropicErrorDetail(BaseModel):
+    type: str = "invalid_request_error"
+    message: str
+
+
+class AnthropicErrorResponse(BaseModel):
+    type: str = "error"
+    error: AnthropicErrorDetail