# Mode router config — task_class → mode mapping
#
# `preferred_mode` is the first choice for a task class; `fallback_modes`
# get tried in order if the preferred one isn't available (LLM Team can
# return Unknown mode for some, OR the matrix has stronger signal for a
# fallback). `default_model` seeds the mode runner's model field if the
# caller doesn't override.
#
# Modes are dispatched against LLM Team UI (localhost:5000/api/run) for
# now; future Rust-native runners will short-circuit before the proxy.
# See crates/gateway/src/v1/mode.rs for the dispatch path.

[[task_class]]
name = "scrum_review"
preferred_mode = "codereview"
fallback_modes = ["consensus", "ladder"]
default_model = "qwen3-coder:480b"
matrix_corpus = "distilled_procedural_v20260423102847"

[[task_class]]
name = "contract_analysis"
preferred_mode = "deep_analysis"
fallback_modes = ["research", "extract"]
default_model = "kimi-k2:1t"
matrix_corpus = "chicago_permits_v1"

[[task_class]]
name = "staffing_inference"
preferred_mode = "ladder"
fallback_modes = ["consensus", "pipeline"]
default_model = "gpt-oss:120b"
matrix_corpus = "workers_500k_v8"

[[task_class]]
name = "fact_extract"
preferred_mode = "extract"
fallback_modes = ["distill"]
default_model = "qwen2.5"
matrix_corpus = "kb_team_runs_v1"

[[task_class]]
name = "doc_drift_check"
preferred_mode = "drift"
fallback_modes = ["validator"]
default_model = "gpt-oss:120b"
matrix_corpus = "distilled_factual_v20260423095819"

# Fallback when task_class isn't in the table — useful for ad-hoc calls
# during development that don't yet have a mapped mode.
[default]
preferred_mode = "pipeline"
fallback_modes = ["consensus", "ladder"]
default_model = "qwen3.5:latest"