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8a682b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 | """
Centralized Integration Configuration
Manages all integration settings for Supabase, LangChain, CrewAI, LlamaIndex, and GAIA
"""
import os
from typing import Dict, Any, Optional, List
from dataclasses import dataclass, field
from pathlib import Path
import json
import logging
logger = logging.getLogger(__name__)
@dataclass
class SupabaseConfig:
"""Supabase integration configuration"""
url: str = ""
key: str = ""
service_key: str = ""
db_password: str = ""
collection_name: str = "gaia_knowledge"
enable_realtime: bool = True
connection_pool_size: int = 10
batch_size: int = 100
def is_configured(self) -> bool:
return bool(self.url and self.key)
def get_connection_string(self) -> str:
if not self.is_configured():
return ""
return f"postgresql://postgres:{self.db_password}@{self.url.replace('https://', '')}:5432/postgres"
@dataclass
class LangChainConfig:
"""LangChain integration configuration"""
enable_memory: bool = True
memory_type: str = "conversation_buffer"
max_memory_tokens: int = 2000
enable_callbacks: bool = True
enable_parallel_execution: bool = True
max_parallel_tools: int = 3
tracing_enabled: bool = False
langsmith_project: str = ""
langsmith_api_key: str = ""
def is_tracing_configured(self) -> bool:
return bool(self.langsmith_api_key and self.langsmith_project)
@dataclass
class CrewAIConfig:
"""CrewAI integration configuration"""
enable_multi_agent: bool = True
max_agents: int = 5
agent_timeout: int = 300
enable_task_factory: bool = True
enable_executor: bool = True
default_crew_size: int = 3
agent_roles: List[str] = field(default_factory=lambda: [
"Researcher", "Executor", "Synthesizer"
])
@dataclass
class LlamaIndexConfig:
"""LlamaIndex integration configuration"""
enable_hierarchical_indexing: bool = True
enable_multi_modal: bool = True
enable_incremental_updates: bool = True
enable_caching: bool = True
chunk_size: int = 512
chunk_overlap: int = 50
similarity_top_k: int = 5
similarity_cutoff: float = 0.7
storage_path: str = "./knowledge_cache"
enable_hybrid_search: bool = True
@dataclass
class GAIAConfig:
"""GAIA benchmark specific configuration"""
enable_gaia_tools: bool = True
enable_gaia_metrics: bool = True
enable_gaia_caching: bool = True
gaia_test_patterns: List[str] = field(default_factory=lambda: [
"video_analysis", "text_processing", "mathematical",
"factual", "creative", "multimodal"
])
gaia_timeout: int = 600
gaia_retry_attempts: int = 3
class IntegrationConfig:
"""Centralized configuration for all integrations"""
def __init__(self):
self.supabase = SupabaseConfig()
self.langchain = LangChainConfig()
self.crewai = CrewAIConfig()
self.llamaindex = LlamaIndexConfig()
self.gaia = GAIAConfig()
self._load_from_environment()
def _load_from_environment(self):
"""Load configuration from environment variables"""
# Supabase
self.supabase.url = os.getenv("SUPABASE_URL", "")
self.supabase.key = os.getenv("SUPABASE_KEY", "")
self.supabase.service_key = os.getenv("SUPABASE_SERVICE_KEY", "")
self.supabase.db_password = os.getenv("SUPABASE_DB_PASSWORD", "")
# LangChain
self.langchain.tracing_enabled = os.getenv("LANGSMITH_TRACING", "").lower() == "true"
self.langchain.langsmith_project = os.getenv("LANGSMITH_PROJECT", "")
self.langchain.langsmith_api_key = os.getenv("LANGSMITH_API_KEY", "")
# CrewAI
self.crewai.enable_multi_agent = os.getenv("CREWAI_ENABLED", "true").lower() == "true"
self.crewai.max_agents = int(os.getenv("CREWAI_MAX_AGENTS", "5"))
# LlamaIndex
self.llamaindex.storage_path = os.getenv("LLAMAINDEX_STORAGE_PATH", "./knowledge_cache")
self.llamaindex.chunk_size = int(os.getenv("LLAMAINDEX_CHUNK_SIZE", "512"))
# GAIA
self.gaia.enable_gaia_tools = os.getenv("GAIA_TOOLS_ENABLED", "true").lower() == "true"
self.gaia.gaia_timeout = int(os.getenv("GAIA_TIMEOUT", "600"))
def update_config(self, updates: Dict[str, Any]) -> bool:
"""Update configuration with new values"""
try:
for section, values in updates.items():
if hasattr(self, section):
section_config = getattr(self, section)
for key, value in values.items():
if hasattr(section_config, key):
setattr(section_config, key, value)
logger.info("Configuration updated successfully")
return True
except Exception as e:
logger.error(f"Failed to update configuration: {e}")
return False
def validate(self) -> tuple[bool, List[str]]:
"""Validate configuration and return issues"""
issues = []
# Validate Supabase if enabled
if self.supabase.is_configured():
if not self.supabase.url.startswith("https://"):
issues.append("Supabase URL must start with https://")
# Validate LangChain tracing
if self.langchain.tracing_enabled and not self.langchain.is_tracing_configured():
issues.append("LangSmith tracing enabled but not configured")
# Validate CrewAI
if self.crewai.max_agents < 1:
issues.append("CrewAI max_agents must be at least 1")
# Validate LlamaIndex
if self.llamaindex.chunk_size < 100:
issues.append("LlamaIndex chunk_size must be at least 100")
return len(issues) == 0, issues
def to_dict(self) -> Dict[str, Any]:
"""Convert configuration to dictionary"""
return {
"supabase": {
"url": self.supabase.url,
"key": "***" if self.supabase.key else "",
"collection_name": self.supabase.collection_name,
"enable_realtime": self.supabase.enable_realtime
},
"langchain": {
"enable_memory": self.langchain.enable_memory,
"enable_callbacks": self.langchain.enable_callbacks,
"tracing_enabled": self.langchain.tracing_enabled
},
"crewai": {
"enable_multi_agent": self.crewai.enable_multi_agent,
"max_agents": self.crewai.max_agents,
"agent_roles": self.crewai.agent_roles
},
"llamaindex": {
"enable_hierarchical_indexing": self.llamaindex.enable_hierarchical_indexing,
"enable_multi_modal": self.llamaindex.enable_multi_modal,
"storage_path": self.llamaindex.storage_path
},
"gaia": {
"enable_gaia_tools": self.gaia.enable_gaia_tools,
"enable_gaia_metrics": self.gaia.enable_gaia_metrics,
"gaia_timeout": self.gaia.gaia_timeout
}
}
def save_to_file(self, file_path: str) -> bool:
"""Save configuration to file"""
try:
config_dict = self.to_dict()
with open(file_path, 'w') as f:
json.dump(config_dict, f, indent=2)
logger.info(f"Configuration saved to {file_path}")
return True
except Exception as e:
logger.error(f"Failed to save configuration: {e}")
return False
def load_from_file(self, file_path: str) -> bool:
"""Load configuration from file"""
try:
if not Path(file_path).exists():
logger.warning(f"Configuration file {file_path} not found")
return False
with open(file_path, 'r') as f:
config_dict = json.load(f)
# Update configuration with loaded values
self.update_config(config_dict)
logger.info(f"Configuration loaded from {file_path}")
return True
except Exception as e:
logger.error(f"Failed to load configuration: {e}")
return False
# Global integration configuration instance
integration_config = IntegrationConfig()
# Validate on import
is_valid, issues = integration_config.validate()
if not is_valid:
for issue in issues:
logger.warning(f"Integration config issue: {issue}") |