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merge: main into pre/beta
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CHANGELOG.md
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CHANGELOG.md
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## [1.15.0-beta.8](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.15.0-beta.7...v1.15.0-beta.8) (2024-08-28)
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## [1.15.0-beta.4](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.15.0-beta.3...v1.15.0-beta.4) (2024-08-26)
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## [1.15.0](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.14.1...v1.15.0) (2024-08-26)
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### Features
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* ligthweigthing the library ([62f32e9](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/62f32e994bcb748dfef4f7e1b2e5213a989c33cc))
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### Bug Fixes
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* abstract graph ([cf1fada](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/cf1fada36a6716cb0e24bbc5da7509446a964145))
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* **models_tokens:** add llama2 and llama3 sizes explicitly ([b05ec16](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/b05ec16b252d00c9c9ee7c6d4605b420851c7754))
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* Azure OpenAI issue ([a92b9c6](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/a92b9c6970049a4ba9dbdf8eff3eeb7f98c6c639))
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* update abstract graph ([86fe5fc](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/86fe5fcaf1a6ba28786678874378f07fba1db40f))
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### CI
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* **release:** 1.14.1-beta.1 [skip ci] ([1b48871](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/1b488715e698888423eb65f43fdf768bb0729602))
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* **release:** 1.15.0-beta.1 [skip ci] ([06dc640](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/06dc640d44449d1b394829e546a64e38a3d3629e))
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* **release:** 1.15.0-beta.2 [skip ci] ([ab21576](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/ab215764353773c5303b88743c6cca4fa7e1b52e))
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* **release:** 1.15.0-beta.3 [skip ci] ([132ee5b](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/132ee5b7daf36ef376bfbc63bc6dc7f2332fdd6b))
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### Bug Fixes
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@ -68,7 +68,7 @@ from scrapegraphai.graphs import SmartScraperGraph
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graph_config = {
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"llm": {
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"api_key": "YOUR_OPENAI_APIKEY",
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"model": "gpt-4o-mini",
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"model": "openai/gpt-4o-mini",
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},
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"verbose": True,
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"headless": False,
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[project]
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name = "scrapegraphai"
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version = "1.15.0b8"
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description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
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