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| # openenv.yaml for Email Assistant OpenEnv | |
| # This file is used for environment configuration and Hugging Face Spaces deployment. | |
| # Hugging Face Spaces Metadata | |
| title: Email Assistant OpenEnv | |
| emoji: 📧 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: docker | |
| app_port: 8000 | |
| # Environment Configuration | |
| name: email-assistant-env | |
| version: 0.1.0 | |
| description: > | |
| An AI-powered email triage and response environment. | |
| Features three benchmark tasks: spam detection, intent classification, and multi-step resolution. | |
| # Action Space Definition | |
| action_space: | |
| type: object | |
| description: One of several possible actions for the agent to take. | |
| schema: | |
| anyOf: | |
| - $ref: "#/components/schemas/ClassifyEmailAction" | |
| - $ref: "#/components/schemas/DraftReplyAction" | |
| - $ref: "#/components/schemas/RequestMoreInfoAction" | |
| - $ref: "#/components/schemas/EscalateAction" | |
| # Observation Space Definition | |
| observation_space: | |
| type: object | |
| schema: | |
| email_id: string | |
| sender: string | |
| subject: string | |
| body_preview: string | |
| full_body: string | |
| thread_context: | |
| type: array | |
| items: | |
| type: object | |
| metadata: | |
| type: object | |
| # Reward Definition | |
| reward_definition: | |
| type: dense | |
| description: Rubric-based dense reward calculated at every step. | |
| components: | |
| positive: | |
| valid_action: 0.1 | |
| correct_classification: 1.0 | |
| good_reasoning: 0.2 | |
| appropriate_tone: 0.3 | |
| complete_resolution: 2.0 | |
| penalties: | |
| invalid_action: -0.2 | |
| incorrect_classification: -0.5 | |
| duplicate_action: -0.5 | |
| step_penalty: -0.01 | |
| max_steps_exceeded: -1.0 | |
| # Task Definitions | |
| tasks: | |
| - id: spam_detection | |
| name: Spam Detection | |
| difficulty: easy | |
| description: Classify whether an email is spam or legitimate. | |
| - id: intent_classification | |
| name: Intent Classification (Sales/Support) | |
| difficulty: medium | |
| description: Classify customer emails into Sales or Support categories with reasoning. | |
| - id: multi_step_resolution | |
| name: Multi-Step Resolution | |
| difficulty: hard | |
| description: "Full workflow: classify, request missing info, and draft a final reply." | |
| # Components Schema (internal references) | |
| components: | |
| schemas: | |
| ClassifyEmailAction: | |
| type: object | |
| properties: | |
| type: { const: classify } | |
| category: { type: string, enum: [Spam, Support, Sales, Urgent, General] } | |
| reasoning: { type: string, minLength: 10, maxLength: 500 } | |
| DraftReplyAction: | |
| type: object | |
| properties: | |
| type: { const: draft_reply } | |
| subject: { type: string } | |
| body: { type: string, minLength: 20 } | |
| tone: { type: string, enum: [professional, friendly, urgent] } | |
| RequestMoreInfoAction: | |
| type: object | |
| properties: | |
| type: { const: request_info } | |
| questions: { type: array, items: { type: string }, minItems: 1 } | |
| EscalateAction: | |
| type: object | |
| properties: | |
| type: { const: escalate } | |
| reason: { type: string } | |
| priority: { type: string, enum: [low, medium, high] } | |