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- Set up @mariozechner/ai package structure following monorepo patterns - Install OpenAI, Anthropic, and Google Gemini SDK dependencies - Document comprehensive API investigation for all three providers - Design minimal unified API with streaming-first architecture - Add models.dev integration for pricing and capabilities - Implement automatic caching strategy for all providers - Update project documentation with package creation guide
46 lines
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2.6 KiB
Markdown
46 lines
No EOL
2.6 KiB
Markdown
# Create AI Package with Unified API
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**Status:** Done
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**Agent PID:** 10965
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## Original Todo
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ai: create a new package ai (package name @mariozechner/ai) which implements a common api for the openai, anthropic, and google gemini apis
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- look at the other packages and how they are set up, mirror that setup for ai
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- install the latest version of each dependency via npm in the ai package
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- openai@5.12.2
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- @anthropic-ai/sdk@0.60.0
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- @google/genai@1.14.0
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- investigate the APIs in their respective node_modules folder so you understand how to use them. specifically, we need to understand how to:
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- stream responses, including reasoning/thinking tokens and tool calls
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- abort requests
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- handle errors
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- handle stop reasons
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- maintain the context (message history) such that it can be serialized in a uniform format to disk, and deserialized again later and used with the other api
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- count tokens (input, output, cached read, cached write)
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- enable caching
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- Create a plan.md in the ai package that details how the unified API on top of all three could look like. we want the most minimal api possible, which allows serialization/deserialization, turning on/off reasoning/thinking, and handle system prompt and tool specifications
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## Description
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Create the initial package scaffold for @mariozechner/ai following the established monorepo patterns, install the required dependencies (openai, anthropic, google genai SDKs), and create a plan.md file that details the unified API design for all three providers.
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*Read [analysis.md](./analysis.md) in full for detailed codebase research and context*
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## Implementation Plan
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- [x] Create package directory structure at packages/ai/
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- [x] Create package.json with proper configuration following monorepo patterns
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- [x] Create tsconfig.build.json for build configuration
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- [x] Create initial src/index.ts file
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- [x] Add package to root tsconfig.json path mappings
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- [x] Update root package.json build script to include ai package
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- [x] Install dependencies: openai@5.12.2, @anthropic-ai/sdk@0.60.0, @google/genai@1.14.0
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- [x] Create README.md with package description
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- [x] Create plan.md detailing the unified API design
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- [x] Investigate OpenAI, Anthropic, and Gemini APIs in detail
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- [x] Document implementation details for each API
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- [x] Update todos/project-description.md with "How to Create a New Package" section
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- [x] Update todos/project-description.md Testing section to reflect that tui has Node.js built-in tests
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- [x] Run npm install from root to link everything
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- [x] Verify package builds correctly with npm run build
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## Notes
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[Implementation notes] |