The evolution loop: an optimizer benchmarks candidate agents against the production baseline, keeps the best score and confirms persistence before promotion.

Full FlowZap Code

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product { # Product Team
  n1: circle label:"Start benchmark run"
  n2: rectangle label:"Submit eval set"
  n3: rectangle label:"Receive run acknowledgement"
  n4: rectangle label:"Receive upgraded prompt pack"
  n1.handle(right) -> n2.handle(left)
  n2.handle(bottom) -> optimizer.n5.handle(top) [label="Eval set"]
}

optimizer { # Optimizer
  n5: rectangle label:"Acknowledge benchmark"
  n6: rectangle label:"Create prompt candidate"
  n7: rectangle label:"Receive run traces"
  n8: rectangle label:"Request scoring"
  n9: rectangle label:"Receive score"
  n10: diamond label:"Score high enough?"
  n11: rectangle label:"Mutate prompt"
  n12: rectangle label:"Log winning config"
  n13: rectangle label:"Receive log confirmation"
  n14: rectangle label:"Publish winner"
  n5.handle(top) -> product.n3.handle(bottom) [label="Ack"]
  n5.handle(right) -> n6.handle(left)
  n6.handle(bottom) -> candidate.n15.handle(top) [label="Prompt candidate"]
  n7.handle(right) -> n8.handle(left)
  n8.handle(bottom) -> evaluator.n19.handle(top) [label="Score traces"]
  n9.handle(right) -> n10.handle(left)
  n10.handle(bottom) -> n11.handle(top) [label="No"]
  n11.handle(bottom) -> candidate.n17.handle(top) [label="New candidate"]
  n10.handle(right) -> n12.handle(left) [label="Yes"]
  n12.handle(bottom) -> metrics.n23.handle(top) [label="Log winner"]
  n13.handle(right) -> n14.handle(left)
  n14.handle(top) -> product.n4.handle(bottom) [label="Winning pack"]
}

candidate { # Candidate Agent
  n15: rectangle label:"Run benchmark tasks"
  n16: rectangle label:"Return execution traces"
  n17: rectangle label:"Run mutated candidate"
  n18: rectangle label:"Return new traces"
  n15.handle(right) -> n16.handle(left)
  n16.handle(top) -> optimizer.n7.handle(bottom) [label="Traces"]
  n17.handle(right) -> n18.handle(left)
  n18.handle(top) -> evaluator.n21.handle(bottom) [label="New traces"]
}

evaluator { # Eval Harness
  n19: rectangle label:"Score first candidate"
  n20: rectangle label:"Return score"
  n21: rectangle label:"Score mutated candidate"
  n22: rectangle label:"Return improved score"
  n19.handle(right) -> n20.handle(left)
  n20.handle(top) -> optimizer.n9.handle(bottom) [label="Score"]
  n21.handle(right) -> n22.handle(left)
  n22.handle(top) -> optimizer.n12.handle(bottom) [label="Best score"]
}

metrics { # Metrics Store
  n23: rectangle label:"Persist winning config"
  n24: rectangle label:"Confirm persistence"
  n23.handle(right) -> n24.handle(left)
  n24.handle(top) -> optimizer.n13.handle(bottom) [label="Logged"]
}

Install the MCP packagenpm install -g flowzap-mcpMCP documentation

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