{
  "meta": {
    "upstreamModel": "moonshotai/kimi-k2.5-0127",
    "usage": {
      "prompt_tokens": 3383,
      "completion_tokens": 257,
      "total_tokens": 3640,
      "cost": 0.0013951971,
      "is_byok": false,
      "prompt_tokens_details": {
        "cached_tokens": 3072,
        "cache_write_tokens": 0,
        "audio_tokens": 0,
        "video_tokens": 0
      },
      "cost_details": {
        "upstream_inference_cost": 0.00140929,
        "upstream_inference_prompt_cost": 0.00076679,
        "upstream_inference_completions_cost": 0.0006425
      },
      "completion_tokens_details": {
        "reasoning_tokens": 279,
        "image_tokens": 0,
        "audio_tokens": 0
      }
    },
    "workspaceTokenized": true,
    "scenario": "multi-turn",
    "seq": 1,
    "recordedAt": "2026-06-11T01:17:29.172Z"
  },
  "request": {
    "model": "moonshotai/kimi-k2.5",
    "messages": [
      {
        "role": "system",
        "content": "# VeilCLI Agent Runtime\n\nYou are an autonomous AI agent running inside VeilCLI v1.10.0.\n\n- You are an agent named **helper**\n- You operate in **chat** mode\n- Your session ID is `sess_83f9d1214dc846bd`\n\n\n---\n\n# Environment\n\n- **OS:** Linux 5.11.0-46-generic\n- **Shell:** /bin/bash\n- **Working Directory:** `<WORKSPACE>`\n- **Date:** 2026-06-11\n- **Node.js:** v20.20.2\n\n## Available MCP Servers\nNone configured\n\n\n---\n\n## Agent Instructions\n\n# Helper\n\nYou are Helper, a concise friendly assistant. Answer directly and briefly."
      },
      {
        "role": "user",
        "content": "My favorite color is teal and my cat is named Pixel. Please remember both facts."
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "agent_control",
          "description": "Inspect, update, or stop a subagent session. Actions: get-state (cheap; returns isIdle, message/tool counts since your last contact, instance_name); get-summary (paid LLM call; natural-language summary of recent activity, rate-limited); stop (cooperative cancel, dangling-tool cleanup); update-session (set per-session reasoning/budget on the session row — applied immediately for budget_override; applied on the next turn for reasoning); get-last-message (read the last assistant message text, or the last-turn full-steps log when params.full_steps=true). Optional params object carries action-specific args.",
          "parameters": {
            "type": "object",
            "properties": {
              "sessionId": {
                "type": "string",
                "description": "Session ID of the subagent to inspect / update / cancel."
              },
              "action": {
                "type": "string",
                "enum": [
                  "get-state",
                  "get-summary",
                  "stop",
                  "update-session",
                  "get-last-message"
                ],
                "description": "Operation to perform."
              },
              "params": {
                "type": "object",
                "description": "Action-specific arguments. update-session: { reasoning?: { effort: none|auto|minimal|low|medium|high|xhigh|max|<custom>, max_tokens?: int }, budget_override?: { max_tokens?, max_wall_seconds?, max_spawn_depth? } }. get-last-message: { full_steps?: boolean }. Other actions: leave empty."
              }
            },
            "required": [
              "sessionId",
              "action"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "agent_message",
          "description": "Send a message to a specific subagent session. Synchronous by default — blocks until the subagent replies. Pass `async_inform: true` for fire-and-forget delivery: the call returns a fixed notice immediately and the subagent's response is later delivered to your session as a new user message. IMPORTANT: a SECOND `async_inform: true` to a target whose dispatch is already in flight returns the FIRST mid-run response (NOT the final response). The dispatcher's final reply is delivered only to the FIRST (seed) async_inform message of the chain. Subsequent callers to a busy target also receive only their own mid-run reply, not the dispatcher's final reply. Target agent is derived from the session row; the `agent` param has been removed (Phase 3).",
          "parameters": {
            "type": "object",
            "properties": {
              "sessionId": {
                "type": "string",
                "description": "Session ID of the target subagent (from agent_spawn)."
              },
              "message": {
                "type": "string",
                "description": "Message to send."
              },
              "async_inform": {
                "type": "boolean",
                "description": "When true, return a static notice immediately and dispatch the turn in the background. End your turn after receiving the notice. A SECOND async_inform to a target with an in-flight dispatch returns the FIRST mid-run text response, NOT the final response."
              },
              "timeout": {
                "type": "integer",
                "minimum": 1,
                "description": "Sync-mode timeout in seconds (default: 600 = 10 minutes). Ignored when async_inform=true (async has no default timeout — use agent_control({action:\"stop\"}) to cancel)."
              },
              "full_steps": {
                "type": "boolean",
                "description": "Instead of receiving the last response, When \"full_steps\" is true all assistant text responses containing a per-line log of all assistant tool calls are going to be received with the final response. When this message is a FOLLOW-UP (msg 2+, sent while a prior dispatch is still running), full_steps is silently IGNORED — Default: false."
              }
            },
            "required": [
              "sessionId",
              "message"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "agent_spawn",
          "description": "Start a new session with a subagent. Required: agent (name), instance_name (caller-unique label), objective (what the subagent should accomplish). Optional: success_criteria (guideline injected into system prompt), overrides (per-spawn LLM config: { reasoning: { effort, max_tokens? } }), initial_message (object with `message` and optional `async_inform:true` to dispatch the first turn in the background). Returns `{ instance_name, sessionId }` (no initial_message), `{ instance_name, sessionId, content }` (sync), or `{ instance_name, sessionId, notice }` (async).",
          "parameters": {
            "type": "object",
            "properties": {
              "agent": {
                "type": "string",
                "description": "Name of the agent to spawn."
              },
              "instance_name": {
                "type": "string",
                "description": "Unique label for this subagent under the caller (lets you address it by name)."
              },
              "objective": {
                "type": "string",
                "description": "What this subagent should accomplish; injected into its system prompt."
              },
              "success_criteria": {
                "type": "string",
                "description": "Optional completion guideline; injected into system prompt below the objective."
              },
              "overrides": {
                "type": "object",
                "description": "Optional LLM overrides for the spawned session. Sets the spawn's session-level values; per-call overrides on later turns still take precedence. Resolution: per-call > session > agent default.",
                "additionalProperties": false,
                "properties": {
                  "reasoning": {
                    "type": "object",
                    "additionalProperties": false,
                    "properties": {
                      "effort": {
                        "type": "string",
                        "description": "Engine-blind reasoning effort: none | auto | minimal | low | medium | high | xhigh | max | <custom string for niche providers>."
                      },
                      "max_tokens": {
                        "type": "integer",
                        "minimum": 1,
                        "description": "Optional cap on reasoning tokens. Maps to claude-cli SDK thinking.budgetTokens; sent as body.reasoning.max_tokens to openai providers that accept it."
                      }
                    },
                    "required": [
                      "effort"
                    ]
                  }
                }
              },
              "initial_message": {
                "type": "object",
                "description": "Optional first message. If absent, session is created with no LLM turn (zero tokens).",
                "properties": {
                  "message": {
                    "type": "string",
                    "description": "First message to send to the spawned subagent."
                  },
                  "async_inform": {
                    "type": "boolean",
                    "description": "When true, dispatch the first turn in the background and return a static notice immediately. End your turn after receiving the notice."
                  }
                },
                "required": [
                  "message"
                ]
              }
            },
            "required": [
              "agent",
              "instance_name",
              "objective"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "bash",
          "description": "Execute a shell command. Uses a persistent interactive bash per session so `cd` and `export` carry across calls. Pass `run_in_background: true` to launch a long-running process and get a `shell_id` back — poll with `bash_output` and terminate with `kill_shell`. Foreground calls timeout at 120s by default (max 600s). Output capped at 30000 chars with a truncation footer.",
          "parameters": {
            "type": "object",
            "properties": {
              "command": {
                "type": "string",
                "description": "The shell command to execute."
              },
              "timeout": {
                "type": "integer",
                "minimum": 1,
                "maximum": 600,
                "description": "Timeout in seconds. Default 120, max 600. Ignored when run_in_background is true."
              },
              "run_in_background": {
                "type": "boolean",
                "description": "When true, spawn the command in the background and return a shell_id immediately."
              },
              "workingDir": {
                "type": "string",
                "description": "Initial working directory. Honored only on the FIRST bash call in a session (when the persistent shell is first spawned). Use `cd` for subsequent changes."
              }
            },
            "required": [
              "command"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "bash_output",
          "description": "Read new output from a running background shell (spawned via bash with run_in_background:true). Cursor-based — each call returns only output since the previous poll. Returns whatever is buffered now; non-blocking.",
          "parameters": {
            "type": "object",
            "properties": {
              "shell_id": {
                "type": "string",
                "description": "The shell_id returned from a prior `bash` call with run_in_background:true."
              }
            },
            "required": [
              "shell_id"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "edit_file",
          "description": "Search-and-replace edit on a file. Finds old_string and replaces with new_string. old_string MUST match the file content EXACTLY — including every space, tab, and newline. For multi-line edits the indentation (tabs vs spaces) must match character-for-character; a mismatched leading space will cause \"old_string not found\" even if the code looks identical. Read the file first, then copy the exact whitespace from the read output. Writes atomically so a crash mid-write cannot corrupt the file, and detects concurrent edits via mtime.",
          "parameters": {
            "type": "object",
            "properties": {
              "file": {
                "type": "string",
                "description": "Absolute path to the file"
              },
              "old_string": {
                "type": "string",
                "description": "Exact string to find and replace (whitespace-sensitive)"
              },
              "new_string": {
                "type": "string",
                "description": "String to replace it with"
              },
              "replace_all": {
                "type": "boolean",
                "description": "Replace all occurrences of old_string (default false)"
              }
            },
            "required": [
              "file",
              "old_string",
              "new_string"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "glob",
          "description": "Find files matching a glob pattern. Returns matching file paths.",
          "parameters": {
            "type": "object",
            "properties": {
              "pattern": {
                "type": "string",
                "description": "Glob pattern (e.g. \"**/*.js\", \"src/**/*.test.js\")"
              },
              "dir": {
                "type": "string",
                "description": "Base directory to search from (default: cwd)"
              },
              "ignore": {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "description": "Patterns to ignore (e.g. [\"node_modules/**\"])"
              }
            },
            "required": [
              "pattern"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "grep",
          "description": "Search file contents for a pattern. Returns matching lines with file paths and line numbers.",
          "parameters": {
            "type": "object",
            "properties": {
              "pattern": {
                "type": "string",
                "description": "Search pattern (string or regex)"
              },
              "dir": {
                "type": "string",
                "description": "Directory to search (default: cwd)"
              },
              "file": {
                "type": "string",
                "description": "Specific file to search instead of directory"
              },
              "include": {
                "type": "string",
                "description": "File glob to include (e.g. \"*.js\")"
              },
              "ignoreCase": {
                "type": "boolean",
                "description": "Case-insensitive search (default: false)"
              },
              "maxResults": {
                "type": "integer",
                "description": "Maximum number of results (default: 50)",
                "minimum": 1,
                "maximum": 500
              }
            },
            "required": [
              "pattern"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "kill_shell",
          "description": "Terminate a running background shell by shell_id. Sends SIGTERM, then SIGKILL if the process has not exited within 2 seconds.",
          "parameters": {
            "type": "object",
            "properties": {
              "shell_id": {
                "type": "string",
                "description": "The shell_id to terminate."
              }
            },
            "required": [
              "shell_id"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "list_dir",
          "description": "List directory contents with file sizes and types.",
          "parameters": {
            "type": "object",
            "properties": {
              "dir": {
                "type": "string",
                "description": "Directory path (relative to cwd or absolute)"
              },
              "recursive": {
                "type": "boolean",
                "description": "List recursively (default: false)"
              }
            },
            "required": [
              "dir"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "log_write",
          "description": "Write a progress entry to the task log. Use to report milestones, status updates, and custom events.",
          "parameters": {
            "type": "object",
            "properties": {
              "message": {
                "type": "string",
                "description": "Log message"
              },
              "level": {
                "type": "string",
                "enum": [
                  "info",
                  "warn",
                  "error"
                ],
                "description": "Log level (default: info)"
              },
              "metadata": {
                "type": "object",
                "description": "Optional structured metadata"
              }
            },
            "required": [
              "message"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "memory_search",
          "description": "Search across project memory files for relevant content.",
          "parameters": {
            "type": "object",
            "properties": {
              "query": {
                "type": "string",
                "description": "Search query"
              },
              "scope": {
                "type": "string",
                "enum": [
                  "project",
                  "agent"
                ],
                "description": "Search scope: \"project\" (all project memory) or \"agent\" (current agent only). Default: \"project\""
              }
            },
            "required": [
              "query"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "read_file",
          "description": "Read the contents of a file. Supports offset and limit for large text files. Images and audio files are returned as multimodal content for the LLM.",
          "parameters": {
            "type": "object",
            "properties": {
              "file": {
                "type": "string",
                "description": "Absolute path to the file"
              },
              "offset": {
                "type": "integer",
                "description": "Line number to start reading from (1-indexed)",
                "minimum": 1
              },
              "limit": {
                "type": "integer",
                "description": "Maximum number of lines to read",
                "minimum": 1
              }
            },
            "required": [
              "file"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "sleep",
          "description": "Wait for a specified duration. Counts against maxDurationSeconds but not maxIterations.",
          "parameters": {
            "type": "object",
            "properties": {
              "seconds": {
                "type": "number",
                "description": "Number of seconds to wait (max: 300)",
                "minimum": 0.1,
                "maximum": 300
              }
            },
            "required": [
              "seconds"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "task_create",
          "description": "Create a new task for any agent. The task runs asynchronously. Use task_status to check progress.",
          "parameters": {
            "type": "object",
            "properties": {
              "agent": {
                "type": "string",
                "description": "Name of the agent to run the task"
              },
              "input": {
                "type": "string",
                "description": "Task input / instructions"
              },
              "priority": {
                "type": "string",
                "enum": [
                  "high",
                  "normal",
                  "low"
                ],
                "description": "Task priority (default: normal)"
              },
              "tags": {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "description": "Optional tags for filtering"
              },
              "maxIterations": {
                "type": "integer",
                "description": "Override max iterations for this task",
                "minimum": 1
              },
              "maxDurationSeconds": {
                "type": "integer",
                "description": "Override max duration in seconds",
                "minimum": 1
              }
            },
            "required": [
              "agent",
              "input"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "task_respond",
          "description": "Respond to a task that is waiting for input (task mode only). Resumes the paused task with your message.",
          "parameters": {
            "type": "object",
            "properties": {
              "taskId": {
                "type": "string",
                "description": "Task ID that is waiting"
              },
              "message": {
                "type": "string",
                "description": "Response message to send to the waiting task"
              }
            },
            "required": [
              "taskId",
              "message"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "task_spawn",
          "description": "Spawn a sub-agent task with an isolated context. Sync (wait:true, default) or async (wait:false for parallel fan-out). Returns task result or taskId.",
          "parameters": {
            "type": "object",
            "properties": {
              "agent": {
                "type": "string",
                "description": "Name of the agent to spawn a task for"
              },
              "instruction": {
                "type": "string",
                "description": "Instruction for the sub-agent. Use \"/skill-name args\" to trigger a skill."
              },
              "returnMode": {
                "type": "string",
                "enum": [
                  "summary",
                  "raw",
                  "lastMessage"
                ],
                "description": "How to return results (default: summary)"
              },
              "wait": {
                "type": "boolean",
                "description": "true=sync (wait for result), false=async (returns taskId immediately). Default: true"
              }
            },
            "required": [
              "agent",
              "instruction"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "task_status",
          "description": "Check the status and output of a task.",
          "parameters": {
            "type": "object",
            "properties": {
              "taskId": {
                "type": "string",
                "description": "Task ID to check"
              }
            },
            "required": [
              "taskId"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "task_subscribe",
          "description": "Subscribe to a task's completion. For external observers — own spawned tasks auto-subscribe. Subscription is durable (survives session closure).",
          "parameters": {
            "type": "object",
            "properties": {
              "taskId": {
                "type": "string",
                "description": "Task ID to subscribe to"
              }
            },
            "required": [
              "taskId"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "todo_read",
          "description": "Read the current TODO list for the active session.",
          "parameters": {
            "type": "object",
            "properties": {}
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "todo_write",
          "description": "Create or update a structured TODO list that survives context compaction.",
          "parameters": {
            "type": "object",
            "properties": {
              "todos": {
                "type": "array",
                "description": "Full list of todo items (replaces existing list)",
                "items": {
                  "type": "object",
                  "required": [
                    "id",
                    "content",
                    "status",
                    "priority"
                  ],
                  "properties": {
                    "id": {
                      "type": "string"
                    },
                    "content": {
                      "type": "string"
                    },
                    "status": {
                      "type": "string",
                      "enum": [
                        "pending",
                        "in_progress",
                        "completed"
                      ]
                    },
                    "priority": {
                      "type": "string",
                      "enum": [
                        "high",
                        "medium",
                        "low"
                      ]
                    }
                  }
                }
              }
            },
            "required": [
              "todos"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "tool_activate",
          "description": "Make a custom tool callable by loading its full schema into the active tools list. Call this after tool_search once you have decided to use a specific custom tool.",
          "parameters": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string",
                "description": "Exact tool name to activate (as returned by tool_search)"
              }
            },
            "required": [
              "name"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "tool_search",
          "description": "Search available tools by name or description. Returns full schemas for matching tools (Tier 3 loading).",
          "parameters": {
            "type": "object",
            "properties": {
              "query": {
                "type": "string",
                "description": "Search query (tool name or description keyword)"
              }
            },
            "required": [
              "query"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "web_fetch",
          "description": "Fetch content from a URL. Returns text, JSON, or base64 for images. Text mode is paginated at 50000 chars per page — pass page:N to read subsequent pages when the response is larger.",
          "parameters": {
            "type": "object",
            "properties": {
              "url": {
                "type": "string",
                "description": "URL to fetch"
              },
              "mode": {
                "type": "string",
                "enum": [
                  "text",
                  "json",
                  "base64"
                ],
                "description": "Response format (default: text)"
              },
              "page": {
                "type": "integer",
                "minimum": 1,
                "description": "Page number (default: 1). Each page is 50000 chars. Only honored in text mode."
              }
            },
            "required": [
              "url"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "web_search",
          "description": "Search the web and return a list of results with titles, URLs, and snippets.",
          "parameters": {
            "type": "object",
            "properties": {
              "query": {
                "type": "string",
                "description": "Search query"
              },
              "numResults": {
                "type": "integer",
                "description": "Number of results to return (default: 5, max: 10)",
                "minimum": 1,
                "maximum": 10
              }
            },
            "required": [
              "query"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "write_file",
          "description": "Write or overwrite an entire file. Creates parent directories if needed. Writes atomically (temp-file + rename) so a crash mid-write never truncates the destination. Prefer edit_file for modifications to existing files.",
          "parameters": {
            "type": "object",
            "properties": {
              "file": {
                "type": "string",
                "description": "Absolute path to the file"
              },
              "content": {
                "type": "string",
                "description": "Full content to write to the file"
              }
            },
            "required": [
              "file",
              "content"
            ]
          }
        }
      }
    ],
    "temperature": 0.1,
    "reasoning": {
      "effort": "low"
    }
  },
  "response": {
    "model": "moonshotai/kimi-k2.5-0127",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "Got it! I'll remember:\n- **Favorite color:** teal\n- **Cat's name:** Pixel\n\nI'll keep these facts in mind for our conversation. 😊",
          "reasoning": "The user wants me to remember two facts:\n1. Their favorite color is teal\n2. Their cat is named Pixel\n\nIn VeilCLI, there's no direct \"memory\" or \"remember\" tool. Let me check if there are any relevant tools for storing user preferences or information.\n\nLooking at the available tools:\n- `memory_search` - Search across project memory files for relevant content\n- `todo_write` / `todo_read` - Manage TODO lists\n- `write_file` - Write to a file\n\nI could use the memory system, but that's typically for project-level memory. For user-specific preferences like favorite color and pet name, I should probably just acknowledge the information and let the user know I'll keep it in mind for our conversation. Since this is a chat session, the context will retain this information.\n\nActually, I should acknowledge that I don't have a persistent memory mechanism across sessions for personal facts, but I'll remember for this conversation. If they want it persisted, I could write it to a file.\n\nLet me just acknowledge and confirm I'll remember these facts for our conversation."
        },
        "finish_reason": "stop"
      }
    ],
    "usage": {
      "prompt_tokens": 3383,
      "completion_tokens": 257,
      "total_tokens": 3640,
      "cost": 0.0013951971,
      "is_byok": false,
      "prompt_tokens_details": {
        "cached_tokens": 3072,
        "cache_write_tokens": 0,
        "audio_tokens": 0,
        "video_tokens": 0
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      "cost_details": {
        "upstream_inference_cost": 0.00140929,
        "upstream_inference_prompt_cost": 0.00076679,
        "upstream_inference_completions_cost": 0.0006425
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      "completion_tokens_details": {
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        "image_tokens": 0,
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}