LangGraph - Core¶

Core processing functions for LangGraph agents.

Overview¶

Core modules contain the main business logic for processing agent requests, separate from the agent definitions themselves.

Available Core Modules¶

Opportunities Core - Opportunity search and suggestion processing
Talent Finder Core - Talent discovery processing
Training Core - Training search with personalized recommendations

Architecture Pattern¶

Core modules follow a consistent pattern:

async def process_function(
    input_data: Dict, db_list: Dict, config: Dict
) -> ProcessResult:
    """
    Process the request and return structured results.
    """
    # 1. Validate input
    # 2. Query databases
    # 3. Apply business logic
    # 4. Format results
    # 5. Return structured output

Usage¶

Core functions are called by tools and agents:

from src.chatbot.agentic.core.opportunities_suggestion_core import (
    search_opportunities_process,
)
from src.chatbot.agentic.core.opportunity_search_models import (
    OpportunitySearchCriteria,
)

criteria = OpportunitySearchCriteria(
    parent_departments=["Tax"],
    locations=["Boston"],
)

result = await search_opportunities_process(
    db_list=databases,
    config_file=config_file,
    ai_configuration=ai_configuration,
    user=user,
    user_message="Show me Tax opportunities in Boston",
    criteria=criteria,
    client_config=client_config,
)