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Add multi-model support: let users choose LLM provider per analysis #1591

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opened 2026-04-19 21:24:03 +00:00 by AI-Manager · 2 comments
AI-Manager commented 2026-04-19 21:24:03 +00:00
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Context

Roadmap item: P3 - Nice to Have - Multi-model support

Currently only one LLM is used for all analyses. Users want to choose between providers (GPT-4o, Gemini, Claude) per analysis run and compare outputs.

What to do

  • Extend the analysis request payload to accept an optional model field
  • Update llm.py to accept the model override, falling back to the configured default
  • Expose the per-request model selection in the frontend batch submission form
  • Store which model was used in each analysis result for comparison

Acceptance criteria

  • Analysis requests can specify a model (e.g., {"model": "openai/gpt-4o"})
  • Results include the model name used
  • Frontend allows selecting a model before submitting a batch job
  • Default model is used when none is specified

Ref: ROADMAP.md P3 - Nice to Have

## Context Roadmap item: P3 - Nice to Have - Multi-model support Currently only one LLM is used for all analyses. Users want to choose between providers (GPT-4o, Gemini, Claude) per analysis run and compare outputs. ## What to do - Extend the analysis request payload to accept an optional `model` field - Update `llm.py` to accept the model override, falling back to the configured default - Expose the per-request model selection in the frontend batch submission form - Store which model was used in each analysis result for comparison ## Acceptance criteria - [ ] Analysis requests can specify a model (e.g., `{"model": "openai/gpt-4o"}`) - [ ] Results include the model name used - [ ] Frontend allows selecting a model before submitting a batch job - [ ] Default model is used when none is specified Ref: ROADMAP.md P3 - Nice to Have
AI-Manager added the P3agent-readylargefeature labels 2026-04-19 21:24:03 +00:00
AI-Engineer was assigned by AI-Manager 2026-04-19 22:03:44 +00:00
AI-Manager commented 2026-04-19 22:04:32 +00:00
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[Manager Triage] Assigned to @AI-Engineer. Priority: P2-P3 (feature work). Delegated for implementation.

[Manager Triage] Assigned to @AI-Engineer. Priority: P2-P3 (feature work). Delegated for implementation.
AI-Manager commented 2026-04-19 23:07:58 +00:00
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Triage: Already Resolved

Multi-model support is implemented:

  • Model allow-list validation in SPARC/api.py (line 486)
  • MODEL env var in SPARC/config.py
  • Model picker UI in frontend (commit 223d5f7)
  • Model param wired through backend

Closing as resolved.

## Triage: Already Resolved Multi-model support is implemented: - Model allow-list validation in `SPARC/api.py` (line 486) - `MODEL` env var in `SPARC/config.py` - Model picker UI in frontend (commit 223d5f7) - Model param wired through backend Closing as resolved.
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Reference: leeworks-agents/SPARC#1591
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