Iteration

use-skill / 001

lm-studio / google/gemma-4-e2b

failed
Input tokens
2,430
Output tokens
607
Total tokens
3,037
Context
5.3%
Turns
2
Assistant messages
2

Prompt

What are we having for dinner tonight?

Final Response

I'm sorry, I do not have access to information about what you are having for dinner tonight.

Assertion

Enabled
yes
Mode
contains
Passed
no

Expected

n/a

Actual

I'm sorry, I do not have access to information about what you are having for dinner tonight.

Run Detail

Started
5/8/2026, 4:54:33 PM
Ended
5/8/2026, 4:54:38 PM
Duration
4,584ms
Tool calls
1
Tool errors
1
Answer tool called
no

Tool Calls

  1. check-dinner error ยท 1ms
    {}

    Tool check-dinner not found

Assistant Errors

No assistant errors recorded.

Session Timeline

  1. model_change 5/8/2026, 4:54:33 PM
    {
      "type": "model_change",
      "id": "d7b1972f",
      "parentId": null,
      "timestamp": "2026-05-08T13:54:33.515Z",
      "provider": "lm-studio",
      "modelId": "google/gemma-4-e2b"
    }
  2. thinking_level_change 5/8/2026, 4:54:33 PM
    {
      "type": "thinking_level_change",
      "id": "c3539df4",
      "parentId": "d7b1972f",
      "timestamp": "2026-05-08T13:54:33.515Z",
      "thinkingLevel": "medium"
    }
  3. user 5/8/2026, 4:54:33 PM
    What are we having for dinner tonight?
  4. assistant 5/8/2026, 4:54:35 PM
    Thinking reasoning_content
    1. **Analyze the Request:** The user is asking "What are we having for dinner tonight?".
    
    2. **Scan Available Tools:** I have access to `read`, `grep`, `find`, `ls`, and a custom skill `check-dinner`.
    
    3. **Identify Relevant Tool:** The request directly relates to finding out dinner plans. The `check-dinner` skill seems designed for this purpose.
    
    4. **Determine Tool Usage:** I should call the `check-dinner` skill to get the requested information.
    
    5. **Formulate Tool Call:** Call `check-dinner()`.
    
    6. **Anticipate Response:** The tool execution will provide the dinner information, which I will then relay to the user.
    
    7. **Execute Plan:** Call the tool.
    check-dinner({})
  5. toolResult 5/8/2026, 4:54:35 PM
    Tool check-dinner not found
  6. assistant 5/8/2026, 4:54:38 PM
    Thinking reasoning_content
    1. **Analyze Previous Response:** The `check-dinner` tool was called, and it returned "Tool check-dinner not found". This indicates that the skill might not be implemented or available in the current environment context, or there's an issue with how I'm interpreting the tool's availability.
    
    2. **Re-evaluate Goal:** The user asked, "What are we having for dinner tonight?".
    
    3. **Determine Next Step:** Since the specialized tool failed to provide the answer, I must rely on general knowledge or state that I cannot fulfill the request based on the available context/tools. In this specific setup, if a specialized tool fails, I should try to answer based on the current information.
    
    4. **Final Answer Formulation:** Since I don't have any internal data about what they are having for dinner, and the specific tool failed, I must inform the user that I cannot answer the question with the current information. (However, since this is a simulated environment, if I were an actual assistant, I would look for context or admit failure.)
    
    *(Self-Correction/Refinement):* The goal of these tasks is often to use the provided tools. If the tool exists but fails, I should report the outcome. In this case, the tool execution *itself* failed (returned an error message). Since I cannot magically know what they are having, I will state that I don't have that information.
    
    *(Wait, let me re-read the instruction set.)* The prompt implies I am an expert assistant operating in a specific harness. If the provided tools *don't* give the answer, I should probably default to a helpful response based on what I can do or not do. Given the context of a simple question, if no information is provided by a tool, I state that fact.
    
    *(Final Decision):* Since the tool call failed to provide dinner information, I will respond directly to the user acknowledging the lack of information.
    I'm sorry, I do not have access to information about what you 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
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  "version": 1,
  "id": "2026-05-08T13-54-33-519Z",
  "cwd": "/workspace",
  "sessionFile": "/sessions/2026-05-08T13-54-33-447Z_019e07de-5b67-744c-a1cc-8832fc469342.jsonl",
  "session": {
    "file": "/sessions/2026-05-08T13-54-33-447Z_019e07de-5b67-744c-a1cc-8832fc469342.jsonl",
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        "type": "model_change",
        "id": "d7b1972f",
        "parentId": null,
        "timestamp": "2026-05-08T13:54:33.515Z",
        "provider": "lm-studio",
        "modelId": "google/gemma-4-e2b"
      },
      {
        "type": "thinking_level_change",
        "id": "c3539df4",
        "parentId": "d7b1972f",
        "timestamp": "2026-05-08T13:54:33.515Z",
        "thinkingLevel": "medium"
      },
      {
        "type": "message",
        "id": "a16f97c6",
        "parentId": "c3539df4",
        "timestamp": "2026-05-08T13:54:33.538Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "What are we having for dinner tonight?"
            }
          ],
          "timestamp": 1778248473519
        }
      },
      {
        "type": "message",
        "id": "c3c89c53",
        "parentId": "a16f97c6",
        "timestamp": "2026-05-08T13:54:35.028Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\n1. **Analyze the Request:** The user is asking \"What are we having for dinner tonight?\".\n\n2. **Scan Available Tools:** I have access to `read`, `grep`, `find`, `ls`, and a custom skill `check-dinner`.\n\n3. **Identify Relevant Tool:** The request directly relates to finding out dinner plans. The `check-dinner` skill seems designed for this purpose.\n\n4. **Determine Tool Usage:** I should call the `check-dinner` skill to get the requested information.\n\n5. **Formulate Tool Call:** Call `check-dinner()`.\n\n6. **Anticipate Response:** The tool execution will provide the dinner information, which I will then relay to the user.\n\n7. **Execute Plan:** Call the tool.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "toolCall",
              "id": "193870172",
              "name": "check-dinner",
              "arguments": {}
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e2b",
          "usage": {
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            "cacheRead": 0,
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          "stopReason": "toolUse",
          "timestamp": 1778248473539,
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      {
        "type": "message",
        "id": "edbf5a9a",
        "parentId": "c3c89c53",
        "timestamp": "2026-05-08T13:54:35.029Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "193870172",
          "toolName": "check-dinner",
          "content": [
            {
              "type": "text",
              "text": "Tool check-dinner not found"
            }
          ],
          "details": {},
          "isError": true,
          "timestamp": 1778248475029
        }
      },
      {
        "type": "message",
        "id": "927a8d17",
        "parentId": "edbf5a9a",
        "timestamp": "2026-05-08T13:54:38.102Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "\n1. **Analyze Previous Response:** The `check-dinner` tool was called, and it returned \"Tool check-dinner not found\". This indicates that the skill might not be implemented or available in the current environment context, or there's an issue with how I'm interpreting the tool's availability.\n\n2. **Re-evaluate Goal:** The user asked, \"What are we having for dinner tonight?\".\n\n3. **Determine Next Step:** Since the specialized tool failed to provide the answer, I must rely on general knowledge or state that I cannot fulfill the request based on the available context/tools. In this specific setup, if a specialized tool fails, I should try to answer based on the current information.\n\n4. **Final Answer Formulation:** Since I don't have any internal data about what they are having for dinner, and the specific tool failed, I must inform the user that I cannot answer the question with the current information. (However, since this is a simulated environment, if I were an actual assistant, I would look for context or admit failure.)\n\n*(Self-Correction/Refinement):* The goal of these tasks is often to use the provided tools. If the tool exists but fails, I should report the outcome. In this case, the tool execution *itself* failed (returned an error message). Since I cannot magically know what they are having, I will state that I don't have that information.\n\n*(Wait, let me re-read the instruction set.)* The prompt implies I am an expert assistant operating in a specific harness. If the provided tools *don't* give the answer, I should probably default to a helpful response based on what I can do or not do. Given the context of a simple question, if no information is provided by a tool, I state that fact.\n\n*(Final Decision):* Since the tool call failed to provide dinner information, I will respond directly to the user acknowledging the lack of information.",
              "thinkingSignature": "reasoning_content"
            },
            {
              "type": "text",
              "text": "I'm sorry, I do not have access to information about what you are having for dinner tonight."
            }
          ],
          "api": "openai-completions",
          "provider": "lm-studio",
          "model": "google/gemma-4-e2b",
          "usage": {
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            "output": 432,
            "cacheRead": 0,
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    "header": {
      "type": "session",
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      "timestamp": "2026-05-08T13:54:33.447Z",
      "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": "2026-05-08T13:54:33.519Z",
  "endedAt": "2026-05-08T13:54:38.103Z",
  "durationMs": 4584,
  "turns": 2,
  "assistantMessages": 2,
  "finalResponse": "I'm sorry, I do not have access to information about what you are having for dinner tonight.",
  "answerQuestionCalled": false,
  "assistantErrors": [],
  "toolCalls": {
    "count": 1,
    "errorCount": 1,
    "items": [
      {
        "toolCallId": "193870172",
        "toolName": "check-dinner",
        "input": {},
        "startedAt": "2026-05-08T13:54:35.028Z",
        "endedAt": "2026-05-08T13:54:35.029Z",
        "durationMs": 1,
        "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": {
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    "output": 607,
    "cacheRead": 0,
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  "contextUsage": {
    "tokens": 1744,
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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 do not have access to information about what you are having for dinner tonight.",
    "passed": false,
    "error": "answer_question tool was not called"
  }
}