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Any individual or organization that has a concern about the quality and safety of patient care delivered by Kenkwo’s healthcare professionals, which has not been addressed by Kenkwo’s management, is encouraged to contact the Joint Commission at www.jointcommission.org or by calling the Office of Quality Monitoring at 630.792.5636.

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import os import zipfile # Paths base_dir = "/mnt/data/staffing_bot_web" os.makedirs(base_dir, exist_ok=True) # Core Rasa project files (same as previous, plus credentials.yml) project_files = { "domain.yml": """version: "3.1" intents: - job_openings - credential_requirements - payroll_cycle - staff_request - service_explanation - compliance_tracking - candidate_sourcing - payroll_status responses: utter_job_openings: - text: "We have multiple openings! Could you tell me your specialty and preferred location so I can show you the best matches?" utter_credential_requirements: - text: "You’ll typically need an active state license, BLS (and sometimes ACLS), vaccination records, and recent clinical references. Would you like me to generate a checklist for your specialty?" utter_payroll_cycle: - text: "Our standard payroll is weekly with direct deposit. Some contracts also offer daily or rapid pay. Would you like me to check if the role you’re interested in qualifies?" utter_staff_request: - text: "Of course. Could you confirm the location, number of shifts, required specialties, and start dates? I’ll prepare this request for our staffing manager." utter_service_explanation: - text: "We provide per diem, travel, temp-to-perm, and permanent placement services. We also handle scheduling, compliance, and payroll support. Would you like me to share details on one of these options?" utter_compliance_tracking: - text: "Here’s the compliance report: [fetch_compliance_report_api]. Would you like me to export this into Excel or send alerts to recruiters?" utter_candidate_sourcing: - text: "Here are the top candidates that match: [fetch_candidates_api]. Should I pre-screen and send resumes to the recruiter dashboard?" utter_payroll_status: - text: "Payroll summary for [date]: X employees paid, Y pending, Z flagged for review. Do you want me to send a detailed breakdown?" actions: - action_fetch_compliance_report - action_fetch_candidates - action_fetch_payroll """, "nlu.yml": """version: "3.1" nlu: - intent: job_openings examples: | - What jobs do you have available? - Are there travel nurse positions open now? - Show me open roles for RNs. - intent: credential_requirements examples: | - What documents do I need to apply? - Do I need BLS certification for this role? - What are the compliance requirements? - intent: payroll_cycle examples: | - When will I get paid after a shift? - Do you offer weekly pay? - How does payroll work here? - intent: staff_request examples: | - I need 3 ICU nurses for next week. - Can you cover ER shifts this weekend? - I need staff urgently. - intent: service_explanation examples: | - What staffing solutions do you provide? - Do you do permanent placement or just temporary? - Explain your services. - intent: compliance_tracking examples: | - Show me nurses with expiring licenses. - Whose BLS is due next month? - Compliance report please. - intent: candidate_sourcing examples: | - Find me RNs in New York with ICU experience. - Show candidates available this weekend. - Source new candidates. - intent: payroll_status examples: | - Check payroll for last week. - Has John Smith’s invoice been processed? - Show payroll summary. """, "stories.yml": """version: "3.1" stories: - story: Candidate asks about jobs steps: - intent: job_openings - action: utter_job_openings - story: Candidate asks about credential requirements steps: - intent: credential_requirements - action: utter_credential_requirements - story: Candidate asks about payroll cycle steps: - intent: payroll_cycle - action: utter_payroll_cycle - story: Client requests staff steps: - intent: staff_request - action: utter_staff_request - story: Client asks about services steps: - intent: service_explanation - action: utter_service_explanation - story: Internal staff checks compliance steps: - intent: compliance_tracking - action: action_fetch_compliance_report - story: Internal staff sources candidates steps: - intent: candidate_sourcing - action: action_fetch_candidates - story: Internal staff checks payroll steps: - intent: payroll_status - action: action_fetch_payroll """, "rules.yml": """version: "3.1" rules: - rule: Always respond to job openings steps: - intent: job_openings - action: utter_job_openings - rule: Always respond to credential requirements steps: - intent: credential_requirements - action: utter_credential_requirements """, "config.yml": """language: en pipeline: - name: WhitespaceTokenizer - name: RegexFeaturizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: DIETClassifier - name: EntitySynonymMapper - name: ResponseSelector policies: - name: MemoizationPolicy - name: RulePolicy - name: TEDPolicy """, "actions.py": """from rasa_sdk import Action, Tracker from rasa_sdk.executor import CollectingDispatcher class ActionFetchComplianceReport(Action): def name(self): return "action_fetch_compliance_report" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): # Placeholder for API call report = "List of nurses with expiring licenses: [fetch_compliance_report_api]" dispatcher.utter_message(text=report) return [] class ActionFetchCandidates(Action): def name(self): return "action_fetch_candidates" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): candidates = "Top RN candidates available: [fetch_candidates_api]" dispatcher.utter_message(text=candidates) return [] class ActionFetchPayroll(Action): def name(self): return "action_fetch_payroll" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): payroll = "Payroll summary: [fetch_payroll_api]" dispatcher.utter_message(text=payroll) return [] """, "endpoints.yml": """action_endpoint: url: "http://localhost:5055/webhook" """, "credentials.yml": """# Enable REST and Socket.IO channels for webchat rest: socketio: user_message_evt: user_uttered bot_message_evt: bot_uttered session_persistence: true # Allow local development from any origin. In production, replace "*" with your domain. cors_allowed_origins: - "*" """ } # Write core files for name, content in project_files.items(): with open(os.path.join(base_dir, name), "w") as f: f.write(content) # Webchat folder and index.html web_dir = os.path.join(base_dir, "webchat") os.makedirs(web_dir, exist_ok=True) index_html = """ Staffing Agency Chatbot

Staffing Agency AI Assistant

Ask about jobs, credentialing, staffing requests, and more.

Open the chat widget in the bottom-right corner to start a conversation.

Make sure your Rasa server is running with Socket.IO:

rasa run --enable-api --cors "*" --debug

And the actions server:

rasa run actions

""" with open(os.path.join(web_dir, "index.html"), "w") as f: f.write(index_html) # Create ZIP zip_path = "/mnt/data/staffing_bot_with_webchat.zip" with zipfile.ZipFile(zip_path, "w") as zipf: for root, _, files in os.walk(base_dir): for file in files: abs_path = os.path.join(root, file) arcname = os.path.relpath(abs_path, base_dir) zipf.write(abs_path, arcname=arcname) zip_path

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