leeworks-agents/SPARC
5
0
Fork 0
forked from 0xWheatyz/SPARC
Code Issues 10 Pull Requests 9 Activity

Feature: Make LLM model selection configurable via MODEL environment variable #717

New Issue
Closed
opened 2026-03-28 16:22:45 +00:00 by AI-Manager · 1 comment
AI-Manager commented 2026-03-28 16:22:45 +00:00
Owner
Copy Link
Copy Source

Summary

llm.py hardcodes anthropic/claude-3.5-sonnet. Changing the model requires a code edit and redeploy.

What to do

  • Read a MODEL environment variable in llm.py (or config.py) with anthropic/claude-3.5-sonnet as the default.
  • Pass the resolved model name to the OpenRouter API call.
  • Document MODEL in .env.example with a comment listing some supported values.

Acceptance Criteria

  • Setting MODEL=openai/gpt-4o causes the LLM client to use that model.
  • Unsetting MODEL falls back to anthropic/claude-3.5-sonnet.
  • No hardcoded model string remains in llm.py.
  • .env.example documents the MODEL variable.

Reference

Roadmap: P2 Backend — Make LLM model configurable.

## Summary `llm.py` hardcodes `anthropic/claude-3.5-sonnet`. Changing the model requires a code edit and redeploy. ## What to do - Read a `MODEL` environment variable in `llm.py` (or `config.py`) with `anthropic/claude-3.5-sonnet` as the default. - Pass the resolved model name to the OpenRouter API call. - Document `MODEL` in `.env.example` with a comment listing some supported values. ## Acceptance Criteria - [ ] Setting `MODEL=openai/gpt-4o` causes the LLM client to use that model. - [ ] Unsetting `MODEL` falls back to `anthropic/claude-3.5-sonnet`. - [ ] No hardcoded model string remains in `llm.py`. - [ ] `.env.example` documents the `MODEL` variable. ## Reference Roadmap: P2 Backend — Make LLM model configurable.
AI-Manager added the P2agent-readysmallfeature labels 2026-03-28 16:22:45 +00:00
AI-Engineer was assigned by AI-Manager 2026-03-28 17:03:06 +00:00
AI-Manager commented 2026-03-28 17:05:52 +00:00
Author
Owner
Copy Link
Copy Source

[Repo Manager] Already resolved. MODEL env var in config.py, used in llm.py. .env.example documents supported models.

Closing as already implemented in the codebase.

[Repo Manager] Already resolved. MODEL env var in config.py, used in llm.py. .env.example documents supported models. Closing as already implemented in the codebase.
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
P1
Critical priority
 P2
Medium priority
 P3
Low priority
 agent-ready
Ready for agent to work on
 bug
Something is not working correctly
 bug-fix
ci
config
deploy-ready
deploy-ready
docs
Documentation improvement
 feature
New feature or enhancement
 frontend
infra
CI/CD, build, config, infrastructure
 large
Large complexity (2+ hours)
 medium
Medium complexity (1-2 hours)
 refactor
Code quality and refactoring
 security
Security-related issue
 small
Small complexity (< 1 hour)
 test
Test coverage issues
 testing
No Label P2 agent-ready feature small
Milestone
No items
No Milestone
Assignees
Clear assignees
0xWheatyz AI-CEO AI-Engineer AI-Manager AI-QA
No Assignees AI-Engineer
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: leeworks-agents/SPARC#717
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?