feat(docker-api): add job-based polling endpoints for crawl and LLM tasks

Implements new asynchronous endpoints for handling long-running crawl and LLM tasks:
- POST /crawl/job and GET /crawl/job/{task_id} for crawl operations
- POST /llm/job and GET /llm/job/{task_id} for LLM operations
- Added Redis-based task management with configurable TTL
- Moved schema definitions to dedicated schemas.py
- Added example polling client demo_docker_polling.py

This change allows clients to handle long-running operations asynchronously through a polling pattern rather than holding connections open.

deploy/docker/schemas.py

@@ -0,0 +1,42 @@
+from typing import List, Optional, Dict
+from enum import Enum
+from pydantic import BaseModel, Field
+from utils import FilterType
+
+
+class CrawlRequest(BaseModel):
+    urls: List[str] = Field(min_length=1, max_length=100)
+    browser_config: Optional[Dict] = Field(default_factory=dict)
+    crawler_config: Optional[Dict] = Field(default_factory=dict)
+
+class MarkdownRequest(BaseModel):
+    """Request body for the /md endpoint."""
+    url: str                    = Field(...,  description="Absolute http/https URL to fetch")
+    f:   FilterType             = Field(FilterType.FIT,
+                                        description="Content‑filter strategy: FIT, RAW, BM25, or LLM")
+    q:   Optional[str] = Field(None,  description="Query string used by BM25/LLM filters")
+    c:   Optional[str] = Field("0",   description="Cache‑bust / revision counter")
+
+
+class RawCode(BaseModel):
+    code: str
+
+class HTMLRequest(BaseModel):
+    url: str
+    
+class ScreenshotRequest(BaseModel):
+    url: str
+    screenshot_wait_for: Optional[float] = 2
+    output_path: Optional[str] = None
+
+class PDFRequest(BaseModel):
+    url: str
+    output_path: Optional[str] = None
+
+
+class JSEndpointRequest(BaseModel):
+    url: str
+    scripts: List[str] = Field(
+        ...,
+        description="List of separated JavaScript snippets to execute"
+    )