Spaces:
Sleeping
Sleeping
| from typing import TypedDict, Annotated, List, Any | |
| import operator | |
| # The `AgentState` defines the data structure that is passed between nodes in our LangGraph. | |
| # Every node in the graph will receive this state, and can return updates to it. | |
| class AgentState(TypedDict): | |
| # The original startup idea provided by the user. | |
| idea: str | |
| # We use `Annotated` with `operator.add` to create a "reducer". | |
| # Since our 4 research agents will run in PARALLEL, they will all try to update the `results` key at the same time. | |
| # Without `operator.add`, the last agent to finish would overwrite the others. | |
| # With `operator.add`, LangGraph knows to *append* their results into a single list safely. | |
| results: Annotated[List[dict[str, Any]], operator.add] | |
| # The final evaluation score from 0-100 | |
| score: int | |
| # A categorical verdict: "Go", "Caution", or "No-Go" | |
| verdict: str | |
| # A brief textual summary of the final report | |
| summary: str | |