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docs/scratch.md

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+## Client Design Philosophy
+
+- clients should be as minimal as possible
+- clients should use `ky` and `zod` where possible
+- clients should have a strongly-typed TS DX
+- clients should expose select methods via the `@aiFunction(...)` decorator
+  - `inputSchema` zod schemas should be as minimal as possible with descriptions prompt engineered specifically for use with LLMs
+- clients and AIFunctions should be composable via `AIFunctionSet`
+- clients should work with all major TS AI SDKs
+
+## TODO
+
+- tools
+  - browserbase
+  - [brave search](https://brave.com/search/api/)
+  - [phantombuster](https://phantombuster.com)
+  - [apify](https://apify.com/store)
+  - perplexity
+  - valtown
+  - replicate
+  - huggingface
+  - pull from [clay](https://www.clay.com/integrations)
+  - pull from [langchain](https://github.com/langchain-ai/langchainjs/tree/main/langchain)
+    - provide a converter for langchain `DynamicStructuredTool`
+  - pull from [nango](https://docs.nango.dev/integrations/overview)
+  - pull from [activepieces](https://github.com/activepieces/activepieces/tree/main/packages/pieces/community)
+  - general openapi support ala [workgpt](https://github.com/team-openpm/workgpt)
+- compound tools / chains / flows / runnables
+  - market maps
+- investigate [autotool](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/autotool)
+- investigate [alt search engines](https://seirdy.one/posts/2021/03/10/search-engines-with-own-indexes/)
+- investigate [data connectors](https://github.com/mendableai/data-connectors)
+- add unit tests for individual providers