Implement email exa search

[cparish312]

---

name: email exa search

about:
Implements the email exa search pipe which emails a user content relevant to what they have looked on their screen the previous day using Exa.ai.

Related issue: #365
Fixes: #365
/claim #365

---

type of change

• new feature

how to test

1. Run the email exa search pipe

checklist

• i have read the CONTRIBUTING.md file
• i have added the custom cursor AI prompt to my settings as mentioned in CONTRIBUTING.md and used to write this PR
• my code follows the project's style guidelines
• i have performed a self-review of my code
• i have updated the documentation if necessary
• my changes generate no new warnings
• i have added tests that prove my fix is effective or that my feature works
• all tests pass locally with my changes

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Name	Status	Preview	Comments	Updated (UTC)
screenpipe	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Oct 15, 2024 2:33pm

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[louis030195]

@cparish312 nice!

any chance you can use vercel/ai sdk with zod?

example here:

screenpipe/examples/typescript/pipe-llama32-comment-linear-while-you-work/pipe.ts

Line 50 in 108d89e

const response = await generateObject({

it makes things much cleaner

[cparish312]

@louis030195 Yeah much cleaner.

VS code is showing a "Argument of type 'any' is not assignable to parameter of type 'never'." error on topicQueries.push(topicQuery.query); but it runs fine so 🤷

[louis030195]

nice, thanks for the contribution :)

/approve

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