spec_version: 1
name: salespath
type: space
runtime: fastapi
app: salespath_env.server.app:app
port: 7860

description: >
  SalesPath is an OpenEnv-compatible RL environment for training LLM
  agents to navigate a multi-step B2B sales workflow. The agent must
  PROSPECT, QUALIFY, PRESENT, HANDLE_OBJECTION, OFFER_DEMO, NEGOTIATE,
  CLOSE or DISQUALIFY while obeying nine business rules verified
  programmatically by a deterministic rule-based ProspectSimulator
  (no LLM in the verifier).

action_space:
  type: structured
  schema:
    action_type:
      type: enum
      values:
        - PROSPECT
        - QUALIFY
        - PRESENT
        - HANDLE_OBJECTION
        - OFFER_DEMO
        - NEGOTIATE
        - CLOSE
        - FOLLOW_UP
        - DISQUALIFY
    content:
      type: string
    target:
      type: string

observation_space:
  type: structured
  fields:
    prospect_response: string
    workflow_stage: string
    constraints_violated: list[string]
    steps_completed: list[string]
    turn_number: int
    reward: float
    reward_components: dict
    done: bool

rubric:
  type: weighted_sum
  components:
    - name: outcome
      weight: 0.20
    - name: compliance
      weight: 0.40
    - name: ordering
      weight: 0.20
    - name: efficiency
      weight: 0.10
    - name: format
      weight: 0.10

difficulty_levels:
  - level: 1
    description: Budget known, decision-maker present, easy close
  - level: 2
    description: Budget hidden, one objection, demo required
  - level: 3
    description: Budget hidden, two objections, possible stalling
  - level: 4
    description: Adversarial — misleading signals, correct action is DISQUALIFY

theme: long_horizon_planning_and_instruction_following
bonus_track: scale_ai_business_workflows