chore(brand): rename the product to ReplyPier
The upstream project name is gone from code, assets, docs and build
output: brand strings, domains (replypier.site and its app/api/docs/help
subdomains), env prefixes, image and network names, the widget's public
JS API (window.ReplyPier, replypierId/BaseUrl/Config/Token), CSS tokens
(--rp-*), file and directory names, and the WordPress plugin package.
- widget loader is now webclient/replypier.min.js; both bundles rebuilt
from source (backend/assets/widget.{js,css}, frontend/public/webclient)
- NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and config.dev.js
rewritten rather than string-swapped; the demo config no longer ships
the previous vendor's Firebase/Razorpay/Google keys
- new migration replypier_ai_model_001 adds REPLYPIER to the managed
AIModelType and rewrites pre-rename rows
- local compose project, database, role and volume renamed; LOCAL_DEPLOY
documents carrying the old local data over
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+23
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@@ -1,5 +1,5 @@
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"""
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Copyright 2024-2026 ChatterMate
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@@ -102,25 +102,25 @@ async def setup_ai(
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# Validate model selection based on provider
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validate_model_selection(config_data.model_type, config_data.model_name)
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# Check if this is a custom model setup (not ChatterMate)
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is_custom_model = not (config_data.model_type.lower() == 'chattermate' and config_data.model_name.lower() == 'chattermate')
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# Check if this is a custom model setup (not ReplyPier)
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is_custom_model = not (config_data.model_type.lower() == 'replypier' and config_data.model_name.lower() == 'replypier')
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# Check feature access for custom models
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if is_custom_model:
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check_custom_models_feature_access(current_user, db)
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# Check if using ChatterMate model
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if HAS_ENTERPRISE and config_data.model_type.lower() == 'chattermate' and config_data.model_name.lower() == 'chattermate':
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# Check if using ReplyPier model
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if HAS_ENTERPRISE and config_data.model_type.lower() == 'replypier' and config_data.model_name.lower() == 'replypier':
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# Use Groq as provider with keys from env
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model_type = AIModelType.CHATTERMATE
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model_name = os.getenv('CHATTERMATE_MODEL_NAME', 'gpt-4o-mini')
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api_key = os.getenv('CHATTERMATE_API_KEY', '')
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model_type = AIModelType.REPLYPIER
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model_name = os.getenv('REPLYPIER_MODEL_NAME', 'gpt-4o-mini')
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api_key = os.getenv('REPLYPIER_API_KEY', '')
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if not api_key:
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logger.error("ChatterMate API key not found in environment")
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logger.error("ReplyPier API key not found in environment")
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raise HTTPException(
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status_code=500,
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detail="ChatterMate API configuration missing"
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detail="ReplyPier API configuration missing"
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)
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# Create AI configuration
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@@ -146,7 +146,7 @@ async def setup_ai(
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)
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logger.debug(
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f"ChatterMate AI setup completed for org {current_user.organization_id}")
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f"ReplyPier AI setup completed for org {current_user.organization_id}")
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return response
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# Regular custom model setup
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@@ -281,8 +281,8 @@ async def update_ai_config(
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# Validate model selection based on provider
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validate_model_selection(config_data.model_type, config_data.model_name)
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# Check if this is a custom model setup (not ChatterMate)
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is_custom_model = not (config_data.model_type.lower() == 'chattermate' and config_data.model_name.lower() == 'chattermate')
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# Check if this is a custom model setup (not ReplyPier)
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is_custom_model = not (config_data.model_type.lower() == 'replypier' and config_data.model_name.lower() == 'replypier')
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# Check feature access for custom models
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if is_custom_model:
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@@ -298,18 +298,18 @@ async def update_ai_config(
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detail="No active AI configuration found to update"
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)
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# Check if using ChatterMate model
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if HAS_ENTERPRISE and config_data.model_type.lower() == 'chattermate' and config_data.model_name.lower() == 'chattermate':
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# Check if using ReplyPier model
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if HAS_ENTERPRISE and config_data.model_type.lower() == 'replypier' and config_data.model_name.lower() == 'replypier':
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# Use Groq as provider with keys from env
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model_type = AIModelType.CHATTERMATE
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model_name = os.getenv('CHATTERMATE_MODEL_NAME', 'gpt-4o-mini')
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api_key = os.getenv('CHATTERMATE_API_KEY', '')
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model_type = AIModelType.REPLYPIER
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model_name = os.getenv('REPLYPIER_MODEL_NAME', 'gpt-4o-mini')
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api_key = os.getenv('REPLYPIER_API_KEY', '')
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if not api_key:
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logger.error("ChatterMate API key not found in environment")
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logger.error("ReplyPier API key not found in environment")
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raise HTTPException(
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status_code=500,
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detail="ChatterMate API configuration missing"
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detail="ReplyPier API configuration missing"
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)
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# Update AI configuration
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@@ -320,7 +320,7 @@ async def update_ai_config(
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api_key=api_key
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)
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logger.info(f"ChatterMate AI config updated for org {current_user.organization_id}")
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logger.info(f"ReplyPier AI config updated for org {current_user.organization_id}")
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else:
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# For custom model, validate API key and/or base_url first if either is
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# changing in this request.
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@@ -429,8 +429,8 @@ def validate_model_selection(model_type: str, model_name: str):
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is what actually rejects a bad model ID.
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"""
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# ChatterMate is a special case handled separately
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if model_type.upper() == "CHATTERMATE" and model_name.lower() == "chattermate":
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# ReplyPier is a special case handled separately
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if model_type.upper() == "REPLYPIER" and model_name.lower() == "replypier":
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return True
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if not is_known_provider(model_type):
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