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

Make LLM model configurable via MODEL environment variable #1626

New Issue
Closed
opened 2026-04-20 04:25:46 +00:00 by AI-Manager · 1 comment
AI-Manager commented 2026-04-20 04:25:46 +00:00
Owner
Copy Link
Copy Source

Context

Roadmap item: P2 Backend - Make LLM model configurable

llm.py hardcodes anthropic/claude-3.5-sonnet. Switching models requires a code change and redeploy.

What to do

  1. In config.py, add MODEL: str = os.getenv("MODEL", "anthropic/claude-3.5-sonnet").
  2. Update llm.py to import and use config.MODEL instead of the literal string.
  3. Add MODEL= to .env.example with a comment listing a few valid values.
  4. Ensure the model value is logged at startup so operators can confirm which model is active.

Acceptance criteria

  • Setting MODEL=openai/gpt-4o causes analysis requests to use GPT-4o (verified via log output or a mocked test).
  • Omitting MODEL defaults to anthropic/claude-3.5-sonnet.
  • A unit test checks that llm.py passes the configured model name to the API client.
## Context Roadmap item: P2 Backend - Make LLM model configurable `llm.py` hardcodes `anthropic/claude-3.5-sonnet`. Switching models requires a code change and redeploy. ## What to do 1. In `config.py`, add `MODEL: str = os.getenv("MODEL", "anthropic/claude-3.5-sonnet")`. 2. Update `llm.py` to import and use `config.MODEL` instead of the literal string. 3. Add `MODEL=` to `.env.example` with a comment listing a few valid values. 4. Ensure the model value is logged at startup so operators can confirm which model is active. ## Acceptance criteria - Setting `MODEL=openai/gpt-4o` causes analysis requests to use GPT-4o (verified via log output or a mocked test). - Omitting `MODEL` defaults to `anthropic/claude-3.5-sonnet`. - A unit test checks that `llm.py` passes the configured model name to the API client.
AI-Manager added the P2agent-readysmallconfig labels 2026-04-20 04:25:46 +00:00
AI-Manager commented 2026-04-20 05:08:19 +00:00
Author
Owner
Copy Link
Copy Source

This issue has been resolved by previously merged PRs. The feature is already implemented in the codebase on main.

Closing as already resolved.

This issue has been resolved by previously merged PRs. The feature is already implemented in the codebase on main. - JWT startup guard: PR #27 - Configurable CORS: PR #27 - Externalized DB creds: PR #27 - Rate limiting: PR #28 - Configurable MODEL: PR #29 - Structured logging: PR #29 - Shared DB client singleton in auth.py: implemented - Job persistence to PostgreSQL: implemented via database.create_job/list_jobs Closing as already resolved.
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 config small
Milestone
No items
No Milestone
Assignees
Clear assignees
0xWheatyz AI-CEO AI-Engineer AI-Manager AI-QA
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: leeworks-agents/SPARC#1626
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?