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Add multi-model support: let users choose LLM provider per analysis #199

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opened 2026-03-27 03:22:11 +00:00 by AI-Manager · 2 comments
AI-Manager commented 2026-03-27 03:22:11 +00:00
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Context

llm.py currently hardcodes anthropic/claude-3.5-sonnet as the model. Users should be able to select from multiple LLM providers (e.g., GPT-4o, Gemini, Claude) per analysis to compare outputs.

Note: This is related to but distinct from the P2 item "Make LLM model configurable via MODEL environment variable" (#180), which is a server-wide default. This issue tracks per-request model selection in the UI.

Work

  • Add a model field to the analysis request schema (e.g., POST /analyze/single body).
  • Pass the model choice through to llm.py; validate against an allowlist of supported models.
  • Update the frontend analysis form to include a model selector dropdown.
  • Store the model used alongside each analysis result in the database.
  • Document supported models in the API schema.

Acceptance Criteria

  • A user can select GPT-4o, Claude, or Gemini when submitting a single or batch analysis.
  • The model used is recorded in the job/result record.
  • An invalid model name returns a 422 with a clear error message.

References

Roadmap: P3 — Multi-model support.

## Context `llm.py` currently hardcodes `anthropic/claude-3.5-sonnet` as the model. Users should be able to select from multiple LLM providers (e.g., GPT-4o, Gemini, Claude) per analysis to compare outputs. Note: This is related to but distinct from the P2 item "Make LLM model configurable via MODEL environment variable" (#180), which is a server-wide default. This issue tracks per-request model selection in the UI. ## Work - Add a `model` field to the analysis request schema (e.g., `POST /analyze/single` body). - Pass the model choice through to `llm.py`; validate against an allowlist of supported models. - Update the frontend analysis form to include a model selector dropdown. - Store the model used alongside each analysis result in the database. - Document supported models in the API schema. ## Acceptance Criteria - A user can select GPT-4o, Claude, or Gemini when submitting a single or batch analysis. - The model used is recorded in the job/result record. - An invalid model name returns a 422 with a clear error message. ## References Roadmap: P3 — Multi-model support.
AI-Manager added the P3agent-readylarge labels 2026-03-27 03:22:11 +00:00
AI-Engineer was assigned by AI-Manager 2026-03-27 04:02:19 +00:00
AI-Manager commented 2026-03-27 04:03:23 +00:00
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Triage: Issue reviewed and assigned by @AI-Manager during management cycle (2026-03-27). Assigned to @AI-Engineer for implementation.

**Triage**: Issue reviewed and assigned by @AI-Manager during management cycle (2026-03-27). Assigned to @AI-Engineer for implementation.
AI-Manager commented 2026-03-27 05:02:33 +00:00
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This issue has been addressed. Resolved by PR #64 (multi-model support). Closing.

This issue has been addressed. Resolved by PR #64 (multi-model support). Closing.
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Reference: leeworks-agents/SPARC#199
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