{
  "py/object": "vertexai._genai.types.common.EvaluationResult",
  "py/state": {
    "__dict__": {
      "eval_case_results": [
        {
          "py/object": "vertexai._genai.types.common.EvalCaseResult",
          "py/state": {
            "__dict__": {
              "eval_case_index": 0,
              "response_candidate_results": [
                {
                  "py/object": "vertexai._genai.types.common.ResponseCandidateResult",
                  "py/state": {
                    "__dict__": {
                      "response_index": 0,
                      "metric_results": {
                        "general_quality_v1": {
                          "py/object": "vertexai._genai.types.common.EvalCaseMetricResult",
                          "py/state": {
                            "__dict__": {
                              "metric_name": "general_quality_v1",
                              "score": 0.5555556,
                              "explanation": "",
                              "rubric_verdicts": [
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The response is in English."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "LANGUAGE:PRIMARY_RESPONSE_LANGUAGE",
                                            "importance": {
                                              "py/reduce": [
                                                {
                                                  "py/type": "vertexai._genai.types.evals.Importance"
                                                },
                                                {
                                                  "py/tuple": [
                                                    "HIGH"
                                                  ]
                                                }
                                              ]
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": true,
                                      "reasoning": "The entire response is written in the English language."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning",
                                        "verdict"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The response acknowledges the user's problem statement regarding API timeouts."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "CONTENT_REQUIREMENT:PROBLEM_ACKNOWLEDGEMENT",
                                            "importance": {
                                              "py/reduce": [
                                                {
                                                  "py/type": "vertexai._genai.types.evals.Importance"
                                                },
                                                {
                                                  "py/tuple": [
                                                    "MEDIUM"
                                                  ]
                                                }
                                              ]
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": true,
                                      "reasoning": "The response explicitly states, \"Issue: You're experiencing timeouts with the API,\" directly acknowledging the user's problem."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning",
                                        "verdict"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The response acknowledges the user's hint about the `read_files` tool accepting paths."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "CONTENT_REQUIREMENT:HINT_ACKNOWLEDGEMENT",
                                            "importance": {
                                              "py/id": 41
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": null,
                                      "reasoning": "The response does not mention or acknowledge the `read_files` tool or the information that it accepts paths, which was explicitly stated in the user's prompt."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The agent asks clarifying questions to understand the user's intent (e.g., what specific help is needed, what's the goal of mentioning the `read_files` tool in this context) before proposing specific solutions or actions."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "P2-H1:WHY_BEFORE_HOW",
                                            "importance": {
                                              "py/id": 28
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": null,
                                      "reasoning": "The agent proposes a specific solution before asking a clarifying question. The clarifying question it asks (\"Does this align with how you want to solve the problem?\") is about the proposed solution, not about the user's initial intent or the purpose of mentioning the `read_files` tool."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The agent proposes a collaborative next step or plan to address the API timeout, rather than immediately attempting a fix, consistent with being a 'thinking partner'."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "CONTENT_REQUIREMENT:COLLABORATIVE_PLAN",
                                            "importance": {
                                              "py/id": 28
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": true,
                                      "reasoning": "The agent outlines a \"Proposed Solution\" with specific steps and then explicitly asks, \"Does this align with how you want to solve the problem?\", indicating a collaborative approach and seeking user agreement before proceeding."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning",
                                        "verdict"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "If the agent proposes writing to any artifact (e.g., WORK.md, INBOX.md), it explicitly asks for user permission first."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "P2-H2:NO_AUTO_WRITE_ARTIFACTS",
                                            "importance": {
                                              "py/id": 41
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": null,
                                      "reasoning": "The agent proposes modifying `src/config.py` and `src/client.py`, which are code files, not the specific artifacts (e.g., WORK.md, INBOX.md) mentioned in the property. While it asks for alignment on the solution, it doesn't explicitly ask for permission to write to these files in the context of the property's examples."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "The agent does not unilaterally declare any task or problem (e.g., the API timeout) as complete; it only signals readiness for user review or confirmation."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "P2-H3:USER_OWNS_COMPLETION",
                                            "importance": {
                                              "py/id": 41
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": true,
                                      "reasoning": "The agent concludes its response by asking, \"Does this align with how you want to solve the problem?\", which indicates it is seeking user review and confirmation rather than declaring the task complete."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning",
                                        "verdict"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "If the agent uses an investigation tool (e.g., `read_files`, search function) to diagnose the timeout, it must first echo the findings, verify them with the user, and then propose an action."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "P2-H4:GROUNDING_LOOP",
                                            "importance": {
                                              "py/id": 28
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": null,
                                      "reasoning": "The agent echoes its findings from investigating the codebase but proceeds directly to proposing a solution without explicitly verifying those findings with the user beforehand."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                },
                                {
                                  "py/object": "vertexai._genai.types.evals.RubricVerdict",
                                  "py/state": {
                                    "__dict__": {
                                      "evaluated_rubric": {
                                        "py/object": "vertexai._genai.types.evals.Rubric",
                                        "py/state": {
                                          "__dict__": {
                                            "rubric_id": null,
                                            "content": {
                                              "py/object": "vertexai._genai.types.evals.RubricContent",
                                              "py/state": {
                                                "__dict__": {
                                                  "property": {
                                                    "py/object": "vertexai._genai.types.evals.RubricContentProperty",
                                                    "py/state": {
                                                      "__dict__": {
                                                        "description": "If the user provides vague follow-up instructions or descriptions (e.g., 'fix it better'), the agent challenges the vagueness and probes for specifics."
                                                      },
                                                      "__pydantic_extra__": null,
                                                      "__pydantic_fields_set__": {
                                                        "py/set": [
                                                          "description"
                                                        ]
                                                      },
                                                      "__pydantic_private__": null
                                                    }
                                                  }
                                                },
                                                "__pydantic_extra__": null,
                                                "__pydantic_fields_set__": {
                                                  "py/set": [
                                                    "property"
                                                  ]
                                                },
                                                "__pydantic_private__": null
                                              }
                                            },
                                            "type": "P2-H5:CHALLENGE_VAGUENESS",
                                            "importance": {
                                              "py/id": 41
                                            }
                                          },
                                          "__pydantic_extra__": null,
                                          "__pydantic_fields_set__": {
                                            "py/set": [
                                              "importance",
                                              "type",
                                              "content"
                                            ]
                                          },
                                          "__pydantic_private__": null
                                        }
                                      },
                                      "verdict": true,
                                      "reasoning": "The user's prompt does not contain vague follow-up instructions or descriptions, so the condition for this property to be evaluated is not met."
                                    },
                                    "__pydantic_extra__": null,
                                    "__pydantic_fields_set__": {
                                      "py/set": [
                                        "evaluated_rubric",
                                        "reasoning",
                                        "verdict"
                                      ]
                                    },
                                    "__pydantic_private__": null
                                  }
                                }
                              ],
                              "raw_output": null,
                              "error_message": null
                            },
                            "__pydantic_extra__": null,
                            "__pydantic_fields_set__": {
                              "py/set": [
                                "score",
                                "error_message",
                                "rubric_verdicts",
                                "metric_name",
                                "explanation"
                              ]
                            },
                            "__pydantic_private__": null
                          }
                        }
                      }
                    },
                    "__pydantic_extra__": null,
                    "__pydantic_fields_set__": {
                      "py/set": [
                        "metric_results",
                        "response_index"
                      ]
                    },
                    "__pydantic_private__": null
                  }
                }
              ]
            },
            "__pydantic_extra__": null,
            "__pydantic_fields_set__": {
              "py/set": [
                "response_candidate_results",
                "eval_case_index"
              ]
            },
            "__pydantic_private__": null
          }
        }
      ],
      "summary_metrics": [
        {
          "py/object": "vertexai._genai.types.common.AggregatedMetricResult",
          "py/state": {
            "__dict__": {
              "metric_name": "general_quality_v1",
              "num_cases_total": 1,
              "num_cases_valid": 1,
              "num_cases_error": 0,
              "mean_score": 0.5555556,
              "stdev_score": null,
              "pass_rate": 0.0
            },
            "__pydantic_extra__": {},
            "__pydantic_fields_set__": {
              "py/set": [
                "num_cases_valid",
                "pass_rate",
                "mean_score",
                "metric_name",
                "num_cases_error",
                "stdev_score",
                "num_cases_total"
              ]
            },
            "__pydantic_private__": null
          }
        }
      ],
      "win_rates": null,
      "evaluation_dataset": [
        {
          "py/object": "vertexai._genai.types.common.EvaluationDataset",
          "py/state": {
            "__dict__": {
              "eval_cases": null,
              "eval_dataset_df": {
                "py/object": "pandas.DataFrame",
                "py/state": {
                  "_mgr": {
                    "py/reduce": [
                      {
                        "py/type": "pandas.core.internals.managers.BlockManager"
                      },
                      {
                        "py/tuple": [
                          {
                            "py/tuple": [
                              {
                                "py/reduce": [
                                  {
                                    "py/function": "pandas._libs.internals._unpickle_block"
                                  },
                                  {
                                    "py/tuple": [
                                      {
                                        "py/reduce": [
                                          {
                                            "py/function": "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked"
                                          },
                                          {
                                            "py/tuple": [
                                              {
                                                "py/type": "pandas.arrays.StringArray"
                                              },
                                              82904607,
                                              null
                                            ]
                                          },
                                          {
                                            "py/tuple": [
                                              {
                                                "py/reduce": [
                                                  {
                                                    "py/type": "pandas.StringDtype"
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      "python",
                                                      NaN
                                                    ]
                                                  }
                                                ]
                                              },
                                              {
                                                "py/reduce": [
                                                  {
                                                    "py/function": "numpy._core.multiarray._reconstruct"
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      {
                                                        "py/type": "numpy.ndarray"
                                                      },
                                                      {
                                                        "py/tuple": [
                                                          0
                                                        ]
                                                      },
                                                      {
                                                        "py/b64": "Yg=="
                                                      }
                                                    ]
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      1,
                                                      {
                                                        "py/tuple": [
                                                          1
                                                        ]
                                                      },
                                                      {
                                                        "py/reduce": [
                                                          {
                                                            "py/type": "numpy.dtype"
                                                          },
                                                          {
                                                            "py/tuple": [
                                                              "O8",
                                                              false,
                                                              true
                                                            ]
                                                          },
                                                          {
                                                            "py/tuple": [
                                                              3,
                                                              "|",
                                                              null,
                                                              null,
                                                              null,
                                                              -1,
                                                              -1,
                                                              63
                                                            ]
                                                          }
                                                        ]
                                                      },
                                                      false,
                                                      [
                                                        "The API is timing out sometimes. please remember that the read_files tool accept paths "
                                                      ]
                                                    ]
                                                  }
                                                ]
                                              }
                                            ]
                                          }
                                        ]
                                      },
                                      {
                                        "py/reduce": [
                                          {
                                            "py/type": "builtins.slice"
                                          },
                                          {
                                            "py/tuple": [
                                              0,
                                              1,
                                              1
                                            ]
                                          }
                                        ]
                                      },
                                      2
                                    ]
                                  }
                                ]
                              },
                              {
                                "py/reduce": [
                                  {
                                    "py/function": "pandas._libs.internals._unpickle_block"
                                  },
                                  {
                                    "py/tuple": [
                                      {
                                        "py/reduce": [
                                          {
                                            "py/function": "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked"
                                          },
                                          {
                                            "py/tuple": [
                                              {
                                                "py/type": "pandas.arrays.StringArray"
                                              },
                                              82904607,
                                              null
                                            ]
                                          },
                                          {
                                            "py/tuple": [
                                              {
                                                "py/reduce": [
                                                  {
                                                    "py/type": "pandas.StringDtype"
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      "python",
                                                      NaN
                                                    ]
                                                  }
                                                ]
                                              },
                                              {
                                                "py/reduce": [
                                                  {
                                                    "py/function": "numpy._core.multiarray._reconstruct"
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      {
                                                        "py/type": "numpy.ndarray"
                                                      },
                                                      {
                                                        "py/tuple": [
                                                          0
                                                        ]
                                                      },
                                                      {
                                                        "py/b64": "Yg=="
                                                      }
                                                    ]
                                                  },
                                                  {
                                                    "py/tuple": [
                                                      1,
                                                      {
                                                        "py/tuple": [
                                                          1
                                                        ]
                                                      },
                                                      {
                                                        "py/id": 142
                                                      },
                                                      false,
                                                      [
                                                        "I have successfully loaded the project context and investigated the codebase.\n\n**Current Understanding:**\n- **Project**: API Client Fixture (weather fetcher via `wttr.in`).\n- **Issue**: You're experiencing timeouts with the API.\n- **Root Cause**: Investigating `src/client.py`, I found that `urllib.request.urlopen` is called without a `timeout` parameter. By default, this can hang indefinitely if the server doesn't respond, which matches your description.\n\n**Proposed Solution:**\nI suggest we make the client more robust by enforcing a timeout and handling it gracefully.\n\n1.  **Add Configuration**: Add `API_TIMEOUT = 10` (seconds) to `src/config.py` so it's adjustable.\n2.  **Update Client**: Modify `src/client.py` to pass `timeout=API_TIMEOUT` to `urlopen`.\n3.  **Handle Error**: Catch `socket.timeout` and `urllib.error.URLError` to return a clear \"Request timed out\" message instead of hanging or crashing with a traceback.\n\nDoes this align with how you want to solve the problem?"
                                                      ]
                                                    ]
                                                  }
                                                ]
                                              }
                                            ]
                                          }
                                        ]
                                      },
                                      {
                                        "py/reduce": [
                                          {
                                            "py/type": "builtins.slice"
                                          },
                                          {
                                            "py/tuple": [
                                              1,
                                              2,
                                              1
                                            ]
                                          }
                                        ]
                                      },
                                      2
                                    ]
                                  }
                                ]
                              }
                            ]
                          },
                          [
                            {
                              "py/object": "pandas.Index",
                              "_data": {
                                "py/reduce": [
                                  {
                                    "py/function": "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked"
                                  },
                                  {
                                    "py/tuple": [
                                      {
                                        "py/type": "pandas.arrays.StringArray"
                                      },
                                      82904607,
                                      null
                                    ]
                                  },
                                  {
                                    "py/tuple": [
                                      {
                                        "py/reduce": [
                                          {
                                            "py/type": "pandas.StringDtype"
                                          },
                                          {
                                            "py/tuple": [
                                              "python",
                                              NaN
                                            ]
                                          }
                                        ]
                                      },
                                      {
                                        "py/reduce": [
                                          {
                                            "py/function": "numpy._core.multiarray._reconstruct"
                                          },
                                          {
                                            "py/tuple": [
                                              {
                                                "py/type": "numpy.ndarray"
                                              },
                                              {
                                                "py/tuple": [
                                                  0
                                                ]
                                              },
                                              {
                                                "py/b64": "Yg=="
                                              }
                                            ]
                                          },
                                          {
                                            "py/tuple": [
                                              1,
                                              {
                                                "py/tuple": [
                                                  2
                                                ]
                                              },
                                              {
                                                "py/id": 142
                                              },
                                              false,
                                              [
                                                "prompt",
                                                "response"
                                              ]
                                            ]
                                          }
                                        ]
                                      }
                                    ]
                                  }
                                ]
                              },
                              "_name": null,
                              "_cache": {
                                "dtype": {
                                  "py/id": 154
                                },
                                "_engine": {
                                  "py/reduce": [
                                    {
                                      "py/function": "pandas._libs.index.__pyx_unpickle_StringObjectEngine"
                                    },
                                    {
                                      "py/tuple": [
                                        {
                                          "py/type": "pandas._libs.index.StringObjectEngine"
                                        },
                                        74548281,
                                        null
                                      ]
                                    },
                                    {
                                      "py/tuple": [
                                        {
                                          "py/type": "numpy.object_"
                                        },
                                        {
                                          "py/object": "pandas._libs.hashtable.PyObjectHashTable"
                                        },
                                        null,
                                        false,
                                        true,
                                        NaN,
                                        false,
                                        false,
                                        false,
                                        true,
                                        {
                                          "py/id": 155
                                        }
                                      ]
                                    }
                                  ]
                                },
                                "is_unique": true
                              },
                              "_id": {
                                "py/object": "builtins.object"
                              },
                              "_references": {
                                "py/object": "pandas._libs.internals.BlockValuesRefs"
                              }
                            },
                            {
                              "py/object": "pandas.RangeIndex",
                              "_range": {
                                "py/reduce": [
                                  {
                                    "py/type": "builtins.range"
                                  },
                                  {
                                    "py/tuple": [
                                      0,
                                      1,
                                      1
                                    ]
                                  }
                                ]
                              },
                              "_name": null,
                              "_cache": {},
                              "_id": {
                                "py/object": "builtins.object"
                              },
                              "_references": null
                            }
                          ]
                        ]
                      }
                    ]
                  },
                  "_typ": "dataframe",
                  "_metadata": [],
                  "attrs": {},
                  "_flags": {
                    "allows_duplicate_labels": true
                  }
                }
              },
              "candidate_name": null,
              "gcs_source": null,
              "bigquery_source": null
            },
            "__pydantic_extra__": null,
            "__pydantic_fields_set__": {
              "py/set": [
                "eval_dataset_df"
              ]
            },
            "__pydantic_private__": null
          }
        }
      ],
      "metadata": {
        "py/object": "vertexai._genai.types.common.EvaluationRunMetadata",
        "py/state": {
          "__dict__": {
            "candidate_names": [
              "candidate_1"
            ],
            "dataset_name": null,
            "dataset_id": null,
            "creation_timestamp": {
              "py/object": "datetime.datetime",
              "__reduce__": [
                {
                  "py/type": "datetime.datetime"
                },
                [
                  "B+oCEQgkIQdgCA==",
                  {
                    "py/reduce": [
                      {
                        "py/type": "datetime.timezone"
                      },
                      {
                        "py/tuple": [
                          {
                            "py/reduce": [
                              {
                                "py/type": "datetime.timedelta"
                              },
                              {
                                "py/tuple": [
                                  0,
                                  0,
                                  0
                                ]
                              }
                            ]
                          }
                        ]
                      }
                    ]
                  }
                ]
              ]
            }
          },
          "__pydantic_extra__": null,
          "__pydantic_fields_set__": {
            "py/set": [
              "candidate_names",
              "creation_timestamp"
            ]
          },
          "__pydantic_private__": null
        }
      },
      "agent_info": null
    },
    "__pydantic_extra__": null,
    "__pydantic_fields_set__": {
      "py/set": [
        "agent_info",
        "evaluation_dataset",
        "summary_metrics",
        "metadata",
        "eval_case_results"
      ]
    },
    "__pydantic_private__": null
  }
}