Combine both useQuery hooks (modelsQuery for model selector, jobsQuery for
job history) and pass selectedModel to analyzeBatch while also triggering
jobsQuery.refetch() on successful submission.
Thread the optional model parameter through the entire analysis pipeline:
- analyzer.py: analyze_company, _analyze_company_safe, analyze_companies,
and analyze_single_patent now accept and forward model override
- api.py: single company endpoint accepts model query param; batch and
async batch endpoints pass request.model through to the analyzer
- client.ts: analyzeCompany, analyzeBatch, analyzeBatchAsync accept model;
add listModels() to fetch available models from GET /models
- Analysis.tsx: add model selector dropdown that loads from /models API
- Batch.tsx: add model selector alongside the workers slider
Users can now pick a specific LLM (GPT-4o, Claude 3.5, Gemini, etc.)
per analysis request, or leave it on the server default.
Closesleeworks-agents/SPARC#351
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
agent-company