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scrum: cloud-default models — swap mistral:latest for ollama_cloud::gpt-oss:120b #1

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profit wants to merge 1 commits from scrum/cloud-default-models into main
pull from: scrum/cloud-default-models
merge into: profit:main
Conversation 0 Commits 1 Files Changed 1 +3 -3
1 changed files with 3 additions and 3 deletions
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llm_team_ui.py
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@ -9956,7 +9956,7 @@ def _run_meta_pipeline(pipeline_id):
stages = pipe["stages"] or ["extract", "research", "validate", "synthesize"] stages = pipe["stages"] or ["extract", "research", "validate", "synthesize"]
data_source = pipe["data_source"] data_source = pipe["data_source"]
config = pipe["config"] or {} config = pipe["config"] or {}
model_sets = config.get("model_sets", [["qwen2.5:latest"], ["mistral:latest"], ["gemma2:latest"]]) model_sets = config.get("model_sets", [["qwen2.5:latest"], ["ollama_cloud::gpt-oss:120b"], ["gemma2:latest"]])
max_iterations = config.get("max_iterations", len(model_sets)) max_iterations = config.get("max_iterations", len(model_sets))
_meta_status[pipeline_id] = {"stage": 0, "substep": "Gathering data...", "progress": 0, "iteration": 0} _meta_status[pipeline_id] = {"stage": 0, "substep": "Gathering data...", "progress": 0, "iteration": 0}
@ -10081,7 +10081,7 @@ def create_meta_pipeline():
all_m = [m["name"] for m in resp.json().get("models", []) if m["size"] > 1e9] all_m = [m["name"] for m in resp.json().get("models", []) if m["size"] > 1e9]
models = [[m] for m in all_m[:4]] models = [[m] for m in all_m[:4]]
except Exception: except Exception:
models = [["qwen2.5:latest"], ["mistral:latest"]] models = [["qwen2.5:latest"], ["ollama_cloud::gpt-oss:120b"]]
config = {"model_sets": models, "max_iterations": len(models)} config = {"model_sets": models, "max_iterations": len(models)}
with get_db() as conn: with get_db() as conn:
@ -11832,7 +11832,7 @@ def run_refine(config):
start = time.time() * 1000 start = time.time() * 1000
prompt = config["prompt"] prompt = config["prompt"]
orchestrator = config.get("orchestrator", "qwen2.5:latest") orchestrator = config.get("orchestrator", "qwen2.5:latest")
workers = config.get("models", ["qwen2.5:latest", "mistral:latest"]) workers = config.get("models", ["qwen2.5:latest", "ollama_cloud::gpt-oss:120b"])
max_stages = config.get("max_stages", 5) max_stages = config.get("max_stages", 5)
yield sse({"type": "clear"}) yield sse({"type": "clear"})
steps = [] steps = []