8000 Design LLM provider abstraction layer · Issue #18 · adeebahmed/Libertas · GitHub
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Design LLM provider abstraction layer #18

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Design LLM provider abstraction layer#18
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aiAI/ML features and model workmvpRequired for MVP releaseplanningArchitecture and planning tasks
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Multi-Model

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@adeebahmed
adeebahmed
opened on Apr 11, 2026

Design a provider-agnostic abstraction for LLM calls in the backend. Must support: swappable providers (Anthropic, OpenAI, Ollama), per-provider config (API keys, base URL, model name), and a unified response interface for the insights engine.

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  1. adeebahmed
    added this to the Multi-Model milestone on Apr 11, 2026
  2. adeebahmed
    added
    aiAI/ML features and model work
    planningArchitecture and planning tasks
    on Apr 11, 2026
  3. adeebahmed
    added this to Libertason Apr 11, 2026
  4. github-project-automation
    moved this to Todo in Libertason Apr 11, 2026
  5. adeebahmed
    added
    mvpRequired for MVP release
    on Apr 11, 2026

  6. adeebahmed commented on Apr 12, 2026

    @adeebahmed
    adeebahmed
    on Apr 12, 2026
    OwnerAuthor

    Planned for Phase 4: AI & Multi-Model Intelligence

    Architecture decision from research:

    • Provider abstraction pattern: Single interface with Claude, OpenAI, Ollama implementations
    • Critical constraint: Summarization/RAG layer required before sending to any LLM — large transaction histories will hit context limits without it
    • Recommended default: Rolling 90-day transaction window + pre-computed account summaries (net worth, allocation, recent spending patterns)
    • Rule engine does math; LLM explains patterns and answers narrative questions
    • All API keys stored locally, never logged or transmitted

    Phase 4 will implement this interface along with #19 (Claude), #20 (OpenAI), #21 (Ollama), #22 (model UI), #23 (context management).

  7. adeebahmed
    added a commit that references this issue on Apr 12, 2026

    docs: initialize GSD planning — requirements and roadmap aligned to G…

    c313051
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