refactor(llm): rename LlmConfig to LLMConfig for consistency
Rename LlmConfig to LLMConfig across the codebase to follow consistent naming conventions. Update all imports and usages to use the new name. Update documentation and examples to reflect the change. BREAKING CHANGE: LlmConfig has been renamed to LLMConfig. Users need to update their imports and usage.
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@@ -245,8 +245,8 @@ run_config = CrawlerRunConfig(
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)
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```
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# 3. **LlmConfig** - Setting up LLM providers
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LlmConfig is useful to pass LLM provider config to strategies and functions that rely on LLMs to do extraction, filtering, schema generation etc. Currently it can be used in the following -
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# 3. **LLMConfig** - Setting up LLM providers
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LLMConfig is useful to pass LLM provider config to strategies and functions that rely on LLMs to do extraction, filtering, schema generation etc. Currently it can be used in the following -
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1. LLMExtractionStrategy
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2. LLMContentFilter
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@@ -262,7 +262,7 @@ LlmConfig is useful to pass LLM provider config to strategies and functions that
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## 3.2 Example Usage
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```python
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llmConfig = LlmConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
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llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
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```
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## 4. Putting It All Together
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@@ -270,7 +270,7 @@ llmConfig = LlmConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI
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- **Use** `BrowserConfig` for **global** browser settings: engine, headless, proxy, user agent.
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- **Use** `CrawlerRunConfig` for each crawl’s **context**: how to filter content, handle caching, wait for dynamic elements, or run JS.
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- **Pass** both configs to `AsyncWebCrawler` (the `BrowserConfig`) and then to `arun()` (the `CrawlerRunConfig`).
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- **Use** `LlmConfig` for LLM provider configurations that can be used across all extraction, filtering, schema generation tasks. Can be used in - `LLMExtractionStrategy`, `LLMContentFilter`, `JsonCssExtractionStrategy.generate_schema` & `JsonXPathExtractionStrategy.generate_schema`
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- **Use** `LLMConfig` for LLM provider configurations that can be used across all extraction, filtering, schema generation tasks. Can be used in - `LLMExtractionStrategy`, `LLMContentFilter`, `JsonCssExtractionStrategy.generate_schema` & `JsonXPathExtractionStrategy.generate_schema`
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```python
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# Create a modified copy with the clone() method
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