community[minor]: Add puppeteer agent tool #5731
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Hey @stevenmichaelthomas! Thanks for the PR. Looks really cool! I ran |
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| const vectorStore = await MemoryVectorStore.fromDocuments( |
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Consider using contextual compression - likely no need for an explicit vectorstore:
https://js.langchain.com/v0.2/docs/how_to/contextual_compression
https://github.com/langchain-ai/weblangchain/blob/main/nextjs/app/api/chat/stream_log/route.ts#L101
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| const DEFAULT_HEADERS = { |
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Move above usage to avoid linter issue
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| // eslint-disable-next-line @typescript-eslint/no-explicit-any | ||
| type Headers = Record<string, any>; |
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can be Record<string, string>
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| async _call(inputs: string) { |
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You can make this extend StructuredTool and give it a schema instead, might be a bit nicer/more reliable than comma separated values
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Thanks so much for the feedback! I'll incorporate changes and ping you when everything is added in and tests are passing. |
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I like this idea |
Adds puppeteer agent tool. When testing out projects using the in-built
WebBrowser, we found the lack of JS execution with Cheerio to be challenging.This instead leverages Puppeteer to handle full page execution, returning a lightly cleaned version of HTML, plus the ability to generate embeddings and send valid chunks to the specified model.
This is my first contribution here, so please let me know if I've missed anything, or if there is any feedback. Thank you!