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Release/v0.7.8 (#1662)

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* Fix: Use correct URL variable for raw HTML extraction (#1116)

- Prevents full HTML content from being passed as URL to extraction strategies
- Added unit tests to verify raw HTML and regular URL processing

Fix: Wrong URL variable used for extraction of raw html

* Fix #1181: Preserve whitespace in code blocks during HTML scraping

  The remove_empty_elements_fast() method was removing whitespace-only
  span elements inside <pre> and <code> tags, causing import statements
  like "import torch" to become "importtorch". Now skips elements inside
  code blocks where whitespace is significant.

* Refactor Pydantic model configuration to use ConfigDict for arbitrary types

* Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621

* Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638

* fix: ensure BrowserConfig.to_dict serializes proxy_config

* feat: make LLM backoff configurable end-to-end

- extend LLMConfig with backoff delay/attempt/factor fields and thread them
  through LLMExtractionStrategy, LLMContentFilter, table extraction, and
  Docker API handlers
- expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff
  and document them in the md_v2 guides

* reproduced AttributeError from #1642

* pass timeout parameter to docker client request

* added missing deep crawling objects to init

* generalized query in ContentRelevanceFilter to be a str or list

* import modules from enhanceable deserialization

* parameterized tests

* Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268

* refactor: replace PyPDF2 with pypdf across the codebase. ref #1412

* announcement: add application form for cloud API closed beta

* Release v0.7.8: Stability & Bug Fix Release

- Updated version to 0.7.8
- Introduced focused stability release addressing 11 community-reported bugs.
- Key fixes include Docker API improvements, LLM extraction enhancements, URL handling corrections, and dependency updates.
- Added detailed release notes for v0.7.8 in the blog and created a dedicated verification script to ensure all fixes are functioning as intended.
- Updated documentation to reflect recent changes and improvements.

* docs: add section for Crawl4AI Cloud API closed beta with application link

* fix: add disk cleanup step to Docker workflow

---------

Co-authored-by: rbushria <rbushri@gmail.com>
Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com>
Co-authored-by: Soham Kukreti <kukretisoham@gmail.com>
Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com>
Co-authored-by: Aravind Karnam <aravind.karanam@gmail.com>
This commit is contained in:
Nasrin
2025-12-11 18:04:52 +08:00
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docs/md_v2/api/parameters.md
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@@ -439,10 +439,19 @@ LLMConfig is useful to pass LLM provider config to strategies and functions that
| **`provider`** | `"ollama/llama3","groq/llama3-70b-8192","groq/llama3-8b-8192", "openai/gpt-4o-mini" ,"openai/gpt-4o","openai/o1-mini","openai/o1-preview","openai/o3-mini","openai/o3-mini-high","anthropic/claude-3-haiku-20240307","anthropic/claude-3-opus-20240229","anthropic/claude-3-sonnet-20240229","anthropic/claude-3-5-sonnet-20240620","gemini/gemini-pro","gemini/gemini-1.5-pro","gemini/gemini-2.0-flash","gemini/gemini-2.0-flash-exp","gemini/gemini-2.0-flash-lite-preview-02-05","deepseek/deepseek-chat"`<br/>*(default: `"openai/gpt-4o-mini"`)* | Which LLM provider to use.
| **`api_token`** |1.Optional. When not provided explicitly, api_token will be read from environment variables based on provider. For example: If a gemini model is passed as provider then,`"GEMINI_API_KEY"` will be read from environment variables <br/> 2. API token of LLM provider <br/> eg: `api_token = "gsk_1ClHGGJ7Lpn4WGybR7vNWGdyb3FY7zXEw3SCiy0BAVM9lL8CQv"` <br/> 3. Environment variable - use with prefix "env:" <br/> eg:`api_token = "env: GROQ_API_KEY"` | API token to use for the given provider
| **`base_url`** |Optional. Custom API endpoint | If your provider has a custom endpoint
| **`backoff_base_delay`** |Optional. `int` *(default: `2`)* | Seconds to wait before the first retry when the provider throttles a request.
| **`backoff_max_attempts`** |Optional. `int` *(default: `3`)* | Total tries (initial call + retries) before surfacing an error.
| **`backoff_exponential_factor`** |Optional. `int` *(default: `2`)* | Multiplier that increases the wait time for each retry (`delay = base_delay * factor^attempt`).
## 3.2 Example Usage
```python
llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
llm_config = LLMConfig(
provider="openai/gpt-4o-mini",
api_token=os.getenv("OPENAI_API_KEY"),
backoff_base_delay=1, # optional
backoff_max_attempts=5, # optional
backoff_exponential_factor=3, # optional
)
```
## 4. Putting It All Together