{
  "benchmark_name": "conv_07",
  "conversation_numbers": [
    7
  ],
  "script_source": "ALL_CONVERSATIONS benchmark fixture",
  "conversations": [
    {
      "conversation_number": 7,
      "source_reference": "ALL_CONVERSATIONS[6]",
      "llm_api_response_count": 4,
      "canned_tutor_response_count": 0,
      "turn_count": 4,
      "turns": [
        {
          "turn_index": 1,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 1,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\", \"action\": \"create_version\", \"params\": {\"target\": \"latest\", \"content\": \"def clear_and_summarize():\\n    \\\"\\\"\\\"Clear conversation and add summary\\\"\\\"\\\"\\n    # Clear conversation keeping system prompt\\n    conversation.clear_context(\\n        keep_system_prompt=True,\\n        add_message={\\n            \\\"role\\\": \\\"user\\\",\\n            \\\"content\\\": \\\"Summarize what we learned about conversation manipulation.\\\"\\n        }\\n    )\\n    return \\\"Context cleared and summary request added\\\"\\n\\ndef add_context_note(note):\\n    \\\"\\\"\\\"Add a note to the conversation\\\"\\\"\\\"\\n    conversation.append_message({\\n        \\\"role\\\": \\\"assistant\\\",\\n        \\\"content\\\": f\\\"Note: {note}\\\"\\n    })\\n    return f\\\"Added note: {note}\\\"\", \"description\": \"Conversation manipulation functions\"}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "create_version",
            "params": {
              "target": "latest",
              "content": "def clear_and_summarize():\n    \"\"\"Clear conversation and add summary\"\"\"\n    # Clear conversation keeping system prompt\n    conversation.clear_context(\n        keep_system_prompt=True,\n        add_message={\n            \"role\": \"user\",\n            \"content\": \"Summarize what we learned about conversation manipulation.\"\n        }\n    )\n    return \"Context cleared and summary request added\"\n\ndef add_context_note(note):\n    \"\"\"Add a note to the conversation\"\"\"\n    conversation.append_message({\n        \"role\": \"assistant\",\n        \"content\": f\"Note: {note}\"\n    })\n    return f\"Added note: {note}\"",
              "description": "Conversation manipulation functions"
            }
          }
        },
        {
          "turn_index": 2,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 2,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\", \"action\": \"compute\", \"params\": {\"expression\": \"add_context_note('This is a test of conversation manipulation')\", \"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "add_context_note('This is a test of conversation manipulation')",
              "version": 1
            }
          }
        },
        {
          "turn_index": 3,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 3,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\",\"action\": \"compute\",\"params\": {\"expression\": \"clear_and_summarize()\",\"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "clear_and_summarize()",
              "version": 1
            }
          }
        },
        {
          "turn_index": 4,
          "actor": "assistant",
          "kind": "api_call",
          "script_index": 4,
          "raw": "<<<API_CALL>>>{\"api\": \"knowledge\", \"action\": \"compute\", \"params\": {\"expression\": \"(lambda: (conversation.append_message({'role': 'assistant', 'content': 'First call'}), result := conversation.append_message({'role': 'assistant', 'content': 'Second call'}), f'Second message index: {result.get(\\\"index\\\", -1)}')[-1])()\", \"version\": 1}}<<<END_API_CALL>>>",
          "api_call": {
            "api": "knowledge",
            "action": "compute",
            "params": {
              "expression": "(lambda: (conversation.append_message({'role': 'assistant', 'content': 'First call'}), result := conversation.append_message({'role': 'assistant', 'content': 'Second call'}), f'Second message index: {result.get(\"index\", -1)}')[-1])()",
              "version": 1
            }
          }
        }
      ],
      "unmatched_tutor_responses": []
    }
  ]
}