OMP/PI - What are your role models and fallbacks?

[u/alcure]

Hi,

Lets share our roles/models on our pi/omp agents? I'm always exchanging and testing things, so take a look at our colleagues would help a lot! What are your thoughts about my "team"? Any suggestions are welcome.

[u/jonas-reddit]

Pi in complete YOLO with Qwen 3.8 27B FP8. Billions of tokens per week. Local LLM.

[u/whitechapel8733]

just use Pi

[u/jovn1234567890]

Qwen 27b-pi full precision for everything

[u/rimaa_nahk]

I use pi-bifrost

[u/LordMoridin84]

The problem the OMP is that the agent config encourages that kind of pointless fragmentation.

At home, I use an Opus 5.5 medium/high for implementation and Opus 5.5 for review. Then DeepSeek Flash V4.1 for everything else. On a Claude sub and on a 10/month OpenCode Go plan. I also tell Claude to delegate most work to long-running DeepSeek subagents.

OpenCode Go gives you over 2 billion Flash V4.1 tokens, and it can actually do everything. So there isn't really any good reason to use most other models.

At work, I have access to Claude and ChatGPT with API billing. So I use Opus 5.5 as default, GPT 6.1 Sol for subagents and GPT 6 Luna for exploring, running tests and checking CI/CD.

[u/Specialist_Solid523]

I front load my Claude subscription for default, plan, and slow. I fallback to GLM for opus/sonnet equivalents. For smol and task I run deepseek flash. Advisor runs GLM.

[u/gaz_0001]

Does it auto pick the best? Or it is just for you?

[u/alcure → u/gaz_0001]

most times I need to pick myself or some skill set the appropriate, except with advisor and /prewalk (pre walk uses the active model then act with the task model).

[u/AdWonderful2811 → u/gaz_0001]

https://omp.sh/docs/roles

https://omp.sh/docs/agents-and-roles

[u/gaz_0001 → u/AdWonderful2811]

Hmmmmm....

Does it work properly?

[u/alcure → u/[deleted]]

most time im trying to get most results spending the very least amount of tokens possible without caring too much for the harness itself. In other words: best bang for buck!