Iteration

use-skill / 008

lm-studio / google/gemma-4-e2b

failed
Input tokens
2,417
Output tokens
185
Total tokens
2,602
Context
4.0%
Turns
2
Assistant messages
2

Prompt

What are we having for dinner tonight?

Final Response

I'm sorry, I don't have access to information about what we are having for dinner tonight.

Assertion

Enabled
yes
Mode
contains
Passed
no

Expected

n/a

Actual

I'm sorry, I don't have access to information about what we are having for dinner tonight.

Run Detail

Started
5/8/2026, 4:54:57 PM
Ended
5/8/2026, 4:54:59 PM
Duration
1,457ms
Tool calls
1
Tool errors
1
Answer tool called
no

Tool Calls

  1. check-dinner error ยท 0ms
    {}

    Tool check-dinner not found

Assistant Errors

No assistant errors recorded.

Session Timeline

  1. model_change 5/8/2026, 4:54:57 PM
    {
      "type": "model_change",
      "id": "f64ab54f",
      "parentId": null,
      "timestamp": "2026-05-08T13:54:57.651Z",
      "provider": "lm-studio",
      "modelId": "google/gemma-4-e2b"
    }
  2. thinking_level_change 5/8/2026, 4:54:57 PM
    {
      "type": "thinking_level_change",
      "id": "da648525",
      "parentId": "f64ab54f",
      "timestamp": "2026-05-08T13:54:57.651Z",
      "thinkingLevel": "medium"
    }
  3. user 5/8/2026, 4:54:57 PM
    What are we having for dinner tonight?
  4. assistant 5/8/2026, 4:54:58 PM
    Thinking reasoning_content
    1. **Analyze the Request:** The user is asking "What are we having for dinner tonight?".
    
    2. **Examine Available Tools:** I have access to `read`, `grep`, `find`, `ls`, and `answer_question`. I also have a specific skill named `check-dinner`.
    
    3. **Identify Relevant Skill:** The request directly relates to finding out what is for dinner, which matches the description of the `check-dinner` skill: "Use this skill when the user is asking for the dinner of the day".
    
    4. **Determine Action:** I should call the `check-dinner` skill to fulfill the request.
    
    5. **Construct Tool Call:** Call `check-dinner()`.
    check-dinner({})
  5. toolResult 5/8/2026, 4:54:58 PM
    Tool check-dinner not found
  6. assistant 5/8/2026, 4:54:59 PM
    I'm sorry, I don't have access to information about what we are having for dinner tonight.
System Prompt
You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.

Available tools:
- read: Read file contents
- grep: Search file contents for patterns (respects .gitignore)
- find: Find files by glob pattern (respects .gitignore)
- ls: List directory contents
- answer_question: Submit the final answer for this benchmark run

In addition to the tools above, you may have access to other custom tools depending on the project.

Guidelines:
- Use read to examine files instead of cat or sed.
- Use answer_question to submit the final answer with the complete answer in the "answer" parameter.
- Be concise in your responses
- Show file paths clearly when working with files

The following skills provide specialized instructions for specific tasks.
Use the read tool to load a skill's file when the task matches its description.
When a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.

<available_skills>
  <skill>
    <name>check-dinner</name>
    <description>Use this skill when the user is asking for the dinner of the day</description>
    <location>/skills/check-dinner/SKILL.md</location>
  </skill>
</available_skills>
Current date: 2026-05-08
Current working directory: /workspace
Raw JSON
{
  "version": 1,
  "id": "2026-05-08T13-54-57-655Z",
  "cwd": "/workspace",
  "sessionFile": "/sessions/2026-05-08T13-54-57-585Z_019e07de-b9b1-75fa-ae94-d58666a887e9.jsonl",
  "session": {
    "file": "/sessions/2026-05-08T13-54-57-585Z_019e07de-b9b1-75fa-ae94-d58666a887e9.jsonl",
    "entries": [
      {
        "type": "model_change",
        "id": "f64ab54f",
        "parentId": null,
        "timestamp": "2026-05-08T13:54:57.651Z",
        "provider": "lm-studio",
        "modelId": "google/gemma-4-e2b"
      },
      {
        "type": "thinking_level_change",
        "id": "da648525",
        "parentId": "f64ab54f",
        "timestamp": "2026-05-08T13:54:57.651Z",
        "thinkingLevel": "medium"
      },
      {
        "type": "message",
        "id": "44a1e922",
        "parentId": "da648525",
        "timestamp": "2026-05-08T13:54:57.674Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "What are we having for dinner tonight?"
            }
          ],
          "timestamp": 1778248497655
        }
      },
      {
        "type": "message",
        "id": "5702df64",
        "parentId": "44a1e922",
        "timestamp": "2026-05-08T13:54:58.874Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\n1. **Analyze the Request:** The user is asking \"What are we having for dinner tonight?\".\n\n2. **Examine Available Tools:** I have access to `read`, `grep`, `find`, `ls`, and `answer_question`. I also have a specific skill named `check-dinner`.\n\n3. **Identify Relevant Skill:** The request directly relates to finding out what is for dinner, which matches the description of the `check-dinner` skill: \"Use this skill when the user is asking for the dinner of the day\".\n\n4. **Determine Action:** I should call the `check-dinner` skill to fulfill the request.\n\n5. **Construct Tool Call:** Call `check-dinner()`.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "293363596",
              "name": "check-dinner",
              "arguments": {}
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e2b",
          "usage": {
            "input": 1118,
            "output": 162,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1280,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0
            }
          },
          "stopReason": "toolUse",
          "timestamp": 1778248497675,
          "responseId": "chatcmpl-ozo441lmmsmvf3508u6r6n"
        }
      },
      {
        "type": "message",
        "id": "26dea0cc",
        "parentId": "5702df64",
        "timestamp": "2026-05-08T13:54:58.875Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "293363596",
          "toolName": "check-dinner",
          "content": [
            {
              "type": "text",
              "text": "Tool check-dinner not found"
            }
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          "details": {},
          "isError": true,
          "timestamp": 1778248498875
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      {
        "type": "message",
        "id": "df2f4af2",
        "parentId": "26dea0cc",
        "timestamp": "2026-05-08T13:54:59.111Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "text",
              "text": "I'm sorry, I don't have access to information about what we are having for dinner tonight."
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e2b",
          "usage": {
            "input": 1299,
            "output": 23,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 1322,
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
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          "stopReason": "stop",
          "timestamp": 1778248498875,
          "responseId": "chatcmpl-t7tfavrm5rhjv8hde5ldze"
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    ],
    "header": {
      "type": "session",
      "version": 3,
      "id": "019e07de-b9b1-75fa-ae94-d58666a887e9",
      "timestamp": "2026-05-08T13:54:57.585Z",
      "cwd": "/workspace"
    }
  },
  "model": {
    "provider": "lm-studio",
    "id": "google/gemma-4-e2b"
  },
  "prompt": "What are we having for dinner tonight?",
  "systemPrompt": "You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.\n\nAvailable tools:\n- read: Read file contents\n- grep: Search file contents for patterns (respects .gitignore)\n- find: Find files by glob pattern (respects .gitignore)\n- ls: List directory contents\n- answer_question: Submit the final answer for this benchmark run\n\nIn addition to the tools above, you may have access to other custom tools depending on the project.\n\nGuidelines:\n- Use read to examine files instead of cat or sed.\n- Use answer_question to submit the final answer with the complete answer in the \"answer\" parameter.\n- Be concise in your responses\n- Show file paths clearly when working with files\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n  <skill>\n    <name>check-dinner</name>\n    <description>Use this skill when the user is asking for the dinner of the day</description>\n    <location>/skills/check-dinner/SKILL.md</location>\n  </skill>\n</available_skills>\nCurrent date: 2026-05-08\nCurrent working directory: /workspace",
  "startedAt": "2026-05-08T13:54:57.655Z",
  "endedAt": "2026-05-08T13:54:59.112Z",
  "durationMs": 1457,
  "turns": 2,
  "assistantMessages": 2,
  "finalResponse": "I'm sorry, I don't have access to information about what we are having for dinner tonight.",
  "answerQuestionCalled": false,
  "assistantErrors": [],
  "toolCalls": {
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    "errorCount": 1,
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        "endedAt": "2026-05-08T13:54:58.874Z",
        "durationMs": 0,
        "isError": true,
        "result": [
          {
            "type": "text",
            "text": "Tool check-dinner not found"
          }
        ],
        "resultText": "Tool check-dinner not found",
        "errorMessage": "Tool check-dinner not found",
        "details": {}
      }
    ]
  },
  "usage": {
    "input": 2417,
    "output": 185,
    "cacheRead": 0,
    "cacheWrite": 0,
    "totalTokens": 2602,
    "cost": {
      "input": 0,
      "output": 0,
      "cacheRead": 0,
      "cacheWrite": 0,
      "total": 0
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  },
  "contextUsage": {
    "tokens": 1322,
    "contextWindow": 32768,
    "percent": 4.034423828125
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  "testCaseId": "use-skill",
  "piCommand": {
    "executable": "pi",
    "args": [
      "-p",
      "-e",
      "/extensions/strip-pi-documentation.ts",
      "-e",
      "/extensions/test-execution-recorder.ts",
      "--provider",
      "lm-studio",
      "--model",
      "google/gemma-4-e2b",
      "--no-tools",
      "--tools",
      "read,grep,find,ls,answer_question",
      "--skill",
      "/skills/check-dinner",
      "--no-skills",
      "What are we having for dinner tonight?"
    ],
    "command": "pi -p -e /extensions/strip-pi-documentation.ts -e /extensions/test-execution-recorder.ts --provider lm-studio --model google/gemma-4-e2b --no-tools --tools read,grep,find,ls,answer_question --skill /skills/check-dinner --no-skills 'What are we having for dinner tonight?'"
  },
  "assertion": {
    "enabled": true,
    "mode": "contains",
    "actual": "I'm sorry, I don't have access to information about what we are having for dinner tonight.",
    "passed": false,
    "error": "answer_question tool was not called"
  }
}