[Bug]: LLMExtractionStrategy not applied when CrawlerRunConfig.cache_mode=ENABLED

crawl4ai version

0.7.4

Expected Behavior

When using cache_mode=CacheMode.ENABLED on CrawlerRunConfig and a previously crawled and cached URL the result.extracted_content is filled with freshly generated output of LLM.

Current Behavior

When using cache_mode=CacheMode.ENABLED on CrawlerRunConfig and a previously crawled and cached URL the result.extracted_content is empty.

Is this reproducible?

Yes

Code snippets

import os
import asyncio
import json
from pydantic import BaseModel, Field
from typing import List
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, LLMConfig
from crawl4ai import LLMExtractionStrategy

class Product(BaseModel):
    name: str
    price: str

async def main():
    # 1. Define the LLM extraction strategy
    llm_strategy = LLMExtractionStrategy(
        llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv('OPENAI_API_KEY')),
        schema=Product.schema_json(), # Or use model_json_schema()
        extraction_type="schema",
        instruction="Extract all product objects with 'name' and 'price' from the content.",
        chunk_token_threshold=1000,
        overlap_rate=0.0,
        apply_chunking=True,
        input_format="markdown",   # or "html", "fit_markdown"
        extra_args={"temperature": 0.0, "max_tokens": 800}
    )

    # 2. Build the crawler config
    crawl_config = CrawlerRunConfig(
        extraction_strategy=llm_strategy,
        cache_mode=CacheMode.ENABLED # (!!) BYPASS is working
    )

    # 3. Create a browser config if needed
    browser_cfg = BrowserConfig(headless=True)

    async with AsyncWebCrawler(config=browser_cfg) as crawler:
        # 4. Let's say we want to crawl a single page
        result = await crawler.arun(
            url="https://example.com/products",
            config=crawl_config
        )

        if result.success:
            # 5. The extracted content is presumably JSON
            data = json.loads(result.extracted_content)
            print("Extracted items:", data)

            # 6. Show usage stats
            llm_strategy.show_usage()  # prints token usage
        else:
            print("Error:", result.error_message)

The Code Example is taken from the LLM Strategies Documentation

OS

macOS

Python version

3.11.4

Browser

No response

Browser version

No response

Error logs & Screenshots (if applicable)

No response

Start with the supplied AsyncWebCrawler.arun example and compare CacheMode.ENABLED with the working BYPASS case. Trace how cached results are handled alongside LLMExtractionStrategy, then verify that a cached URL still produces populated result.extracted_content and that the documented example works.