feat: refactor to multi-provider abstraction with registry pattern

.env.example

@@ -1,27 +1,66 @@
-# OpenAI API Configuration
-OPENAI_API_KEY=
+# GitHub Configuration (required)
+APP_NAME_GITHUB=your_app_name
+APP_CLIENT_ID_GITHUB=your_client_id
+APP_CLIENT_SECRET_GITHUB=your_client_secret
 
-# LangChain Configuration
-LANGCHAIN_TRACING_V2=true
+PRIVATE_KEY_BASE64_GITHUB=your_private_key_base64
+WEBHOOK_SECRET_GITHUB=your_webhook_secret
+
+# AI Provider Selection
+AI_PROVIDER=openai  # Options: openai, bedrock, vertex_ai
+
+# Common AI Settings (defaults for all agents)
+AI_MAX_TOKENS=4096
+AI_TEMPERATURE=0.1
+
+# OpenAI Configuration (when AI_PROVIDER=openai)
+OPENAI_API_KEY=your_openai_api_key_here
+OPENAI_MODEL=gpt-4.1-mini  # Optional, defaults to gpt-4.1-mini
+
+# AWS Bedrock Configuration (when AI_PROVIDER=bedrock)
+# BEDROCK_REGION=us-east-1
+# BEDROCK_MODEL_ID=anthropic.claude-3-sonnet-20240229-v1:0
+# AWS_ACCESS_KEY_ID=your_aws_access_key  # Optional, can use AWS profile instead
+# AWS_SECRET_ACCESS_KEY=your_aws_secret_key  # Optional, can use AWS profile instead
+# AWS_PROFILE=your_aws_profile  # Optional, alternative to access keys
+
+# Google Vertex AI Configuration (when AI_PROVIDER=vertex_ai)
+# GCP_PROJECT_ID=your-gcp-project-id
+# GCP_LOCATION=us-central1
+# VERTEX_AI_MODEL=gemini-pro  # Options: gemini-pro, gemini-1.5-pro, claude-3-opus@20240229, etc.
+# GCP_SERVICE_ACCOUNT_KEY_BASE64=your_base64_encoded_service_account_key  # Optional, can use ADC instead
+
+# Engine Agent Configuration
+AI_ENGINE_MAX_TOKENS=8000  # Default: 8000
+AI_ENGINE_TEMPERATURE=0.1
+
+# Feasibility Agent Configuration
+AI_FEASIBILITY_MAX_TOKENS=4096
+AI_FEASIBILITY_TEMPERATURE=0.1
+
+# Acknowledgment Agent Configuration
+AI_ACKNOWLEDGMENT_MAX_TOKENS=2000
+AI_ACKNOWLEDGMENT_TEMPERATURE=0.1
+
+# LangSmith Configuration
+LANGCHAIN_TRACING_V2=false
 LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
 LANGCHAIN_API_KEY=
-LANGCHAIN_PROJECT=
-
-# AWS Configuration
-AWS_ACCESS_KEY_ID=
-AWS_SECRET_ACCESS_KEY=
+LANGCHAIN_PROJECT=watchflow-dev
 
-# Application Configuration
-ENVIRONMENT=development
+# CORS Configuration
 CORS_HEADERS=["*"]
-CORS_ORIGINS='["http://localhost:3000", "http://127.0.0.1:3000"]'
+CORS_ORIGINS=["http://localhost:3000", "http://127.0.0.1:3000", "http://localhost:5500", "https://warestack.github.io", "https://watchflow.dev"]
+
+# Repository Configuration
+REPO_CONFIG_BASE_PATH=.watchflow
+REPO_CONFIG_RULES_FILE=rules.yaml
 
-# GitHub OAuth Configuration
-APP_NAME_GITHUB=
-CLIENT_ID_GITHUB=
-CLIENT_SECRET_GITHUB=
-PRIVATE_KEY_BASE64_GITHUB=
-REDIRECT_URI_GITHUB=http://localhost:3000
+# Logging Configuration
+LOG_LEVEL=INFO
+LOG_FORMAT=%(asctime)s - %(name)s - %(levelname)s - %(message)s
+LOG_FILE_PATH=
 
-# GitHub Webhook Configuration
-WEBHOOK_SECRET_GITHUB=
+# Development Settings
+DEBUG=false
+ENVIRONMENT=development

src/agents/acknowledgment_agent/agent.py

@@ -11,7 +11,7 @@
 from src.agents.acknowledgment_agent.models import AcknowledgmentContext, AcknowledgmentEvaluation
 from src.agents.acknowledgment_agent.prompts import create_evaluation_prompt, get_system_prompt
 from src.agents.base import AgentResult, BaseAgent
-from src.core.ai import get_chat_model
+from src.providers import get_chat_model
 
 logger = logging.getLogger(__name__)
 

src/agents/base.py

@@ -7,7 +7,7 @@
 from abc import ABC, abstractmethod
 from typing import Any, TypeVar
 
-from src.core.ai import get_chat_model
+from src.providers import get_chat_model
 
 logger = logging.getLogger(__name__)
 

src/agents/engine_agent/models.py

@@ -41,7 +41,11 @@ class LLMEvaluationResponse(BaseModel):
 
     is_violated: bool = Field(description="Whether the rule is violated")
     message: str = Field(description="Explanation of the violation or why the rule passed")
-    details: dict[str, Any] = Field(description="Detailed reasoning and metadata", default_factory=dict)
+    details: dict[str, Any] = Field(
+        description="Detailed reasoning and metadata",
+        default_factory=dict,
+        json_schema_extra={"additionalProperties": False},
+    )
     how_to_fix: str | None = Field(description="Specific instructions on how to fix the violation", default=None)
 
 

src/agents/engine_agent/nodes.py

@@ -24,7 +24,7 @@
     create_validation_strategy_prompt,
     get_llm_evaluation_system_prompt,
 )
-from src.core.ai import get_chat_model
+from src.providers import get_chat_model
 from src.rules.validators import VALIDATOR_REGISTRY
 
 logger = logging.getLogger(__name__)

src/agents/feasibility_agent/nodes.py

@@ -6,7 +6,7 @@
 
 from src.agents.feasibility_agent.models import FeasibilityAnalysis, FeasibilityState, YamlGeneration
 from src.agents.feasibility_agent.prompts import RULE_FEASIBILITY_PROMPT, YAML_GENERATION_PROMPT
-from src.core.ai import get_chat_model
+from src.providers import get_chat_model
 
 logger = logging.getLogger(__name__)