Skip to content
SupaCloud Docs
Select themeSelect language

`GET /api/intelligence/model-selection` — recent model-selection events.

GET
/api/intelligence/model-selection
curl --request GET \
  --url https://example.com/api/intelligence/model-selection

Parameters

Section titled “Parameters”

Query Parameters

Section titled “Query Parameters”
limit
integer format: int64

Responses

Section titled “Responses”

200

Section titled “200”
Media typeapplication/json
Array<object>
object
agent_profile_id
string | null format: uuid
alternatives_considered
created_at
required
string format: date-time
effort_level

ADR 0045 Stage 2b — L0 attribution + propensity (mig 212). selection_propensity is the probability the chosen arm was selected under the policy (winner_score/sum_scores for ‘auto’, 1.0 for ‘manual’, None when no arm was scored) — the inverse-propensity-weighting denominator that fixes the only-chosen-arm reward blindspot. alternatives_considered is the counterfactual log of rejected arms. effort_level/harness mirror the outcome axes for the segment join. All #[serde(default)] so pre-Stage-2 rows stay readable.

string | null
estimated_cost
required
fallback_reason
string | null
harness
string | null
id
required
string format: uuid
input_summary
required
string
override_choice
override_reason
string | null
policy
required
string
score_breakdown
required
score_completeness
required
selected_agent_type
required
string
selected_model
string | null
selection_propensity
number | null format: double
task_id
string | null format: uuid
user_overrode
required
boolean
workspace_id
required
string format: uuid
Examplegenerated
[
  {
    "agent_profile_id": "2489E9AD-2EE2-8E00-8EC9-32D5F69181C0",
    "alternatives_considered": "example",
    "created_at": "2026-04-15T12:00:00Z",
    "effort_level": "example",
    "estimated_cost": "example",
    "fallback_reason": "example",
    "harness": "example",
    "id": "2489E9AD-2EE2-8E00-8EC9-32D5F69181C0",
    "input_summary": "example",
    "override_choice": "example",
    "override_reason": "example",
    "policy": "example",
    "score_breakdown": "example",
    "score_completeness": "example",
    "selected_agent_type": "example",
    "selected_model": "example",
    "selection_propensity": 1,
    "task_id": "2489E9AD-2EE2-8E00-8EC9-32D5F69181C0",
    "user_overrode": true,
    "workspace_id": "2489E9AD-2EE2-8E00-8EC9-32D5F69181C0"
  }
]