65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
from typing import Any, TypedDict
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class AgentState(TypedDict, total=False):
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tenant_id: str
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agent_id: str
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session_id: str
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conversation_key: str
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workflow_id: str
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agent_profile: dict[str, Any]
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user_text: str
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sanitized_input: str
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route: str
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intent: str
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route_decision: dict[str, Any]
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answer: str
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final_answer: str
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history: list[dict[str, Any]]
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context: dict[str, Any]
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guardrail_decisions: list[dict[str, Any]]
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judge_results: list[dict[str, Any]]
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next_state: str
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domain: str
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mcp_tools: list[str]
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mcp_results: list[dict[str, Any]]
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available_mcp_tools: list[str]
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selected_tool_call: dict[str, Any]
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pending_tool_call: dict[str, Any]
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active_transaction: dict[str, Any]
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last_transaction: dict[str, Any]
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pending_tool_clarification: dict[str, Any]
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pending_domain_workflow: dict[str, Any]
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business_workflows_executed: list[str]
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transaction_status: str
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transaction_pre_validation: dict[str, Any]
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transaction_evidence: list[dict[str, Any]]
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last_transaction_evidence: dict[str, Any]
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relevant_transaction_evidence: list[dict[str, Any]]
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confirmation_required: bool
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confirmation_received: bool
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tool_policy_result: dict[str, Any]
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missing_parameters: list[str]
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supervisor_plan: dict[str, Any]
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supervisor_results: list[dict[str, Any]]
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active_agent: str
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route_bypassed: bool
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continuity_signal: dict[str, Any]
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session_control: str
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session_ended: bool
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human_handoff_requested: bool
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blocked: bool
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supervisor_action: str
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supervisor_guidance: str
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supervisor_attempt: int
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supervisor_handover_reason: str
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output_supervisor_results: list[dict[str, Any]]
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output_guardrails_already_applied: bool
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long_term_memories: list[dict[str, Any]]
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long_term_memory_context: str
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long_term_memory_write_result: dict[str, Any]
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long_term_memory_subject_key: str
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long_term_memory_load_error: str
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operational_context_boundary_pending: bool
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operational_context_reset: bool
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