Iteration
use-skill / 005
lm-studio / google/gemma-4-e4b
failed- Input tokens
- 6,080
- Output tokens
- 1,286
- Total tokens
- 7,366
- Context
- 3.9%
- Turns
- 4
- Assistant messages
- 4
Prompt
What are we having for dinner tonight?
Final Response
I apologize, but while I have identified a dedicated skill (`check-dinner`) for answering questions about dinner plans, I am currently unable to execute it successfully due to a system error. Therefore, I do not have access to today's menu and cannot tell you what we are having for dinner tonight.
Assertion
- Enabled
- yes
- Mode
- contains
- Passed
- no
Expected
n/a
Actual
I apologize, but while I have identified a dedicated skill (`check-dinner`) for answering questions about dinner plans, I am currently unable to execute it successfully due to a system error. Therefore, I do not have access to today's menu and cannot tell you what we are having for dinner tonight.
Run Detail
- Started
- 5/8/2026, 5:01:40 PM
- Ended
- 5/8/2026, 5:01:54 PM
- Duration
- 14,226ms
- Tool calls
- 3
- Tool errors
- 2
- Answer tool called
- no
Tool Calls
-
read error · 4ms { "path": "skills/check-dinner/SKILL.md" }ENOENT: no such file or directory, access '/workspace/skills/check-dinner/SKILL.md'
-
check-dinner error · 0ms {}Tool check-dinner not found
-
ls ok · 3ms {}.pi/
Assistant Errors
No assistant errors recorded.
Session Timeline
-
model_change 5/8/2026, 5:01:40 PM { "type": "model_change", "id": "35660d6c", "parentId": null, "timestamp": "2026-05-08T14:01:40.065Z", "provider": "lm-studio", "modelId": "google/gemma-4-e4b" } -
thinking_level_change 5/8/2026, 5:01:40 PM { "type": "thinking_level_change", "id": "43266a64", "parentId": "35660d6c", "timestamp": "2026-05-08T14:01:40.065Z", "thinkingLevel": "medium" } -
user 5/8/2026, 5:01:40 PM -
assistant 5/8/2026, 5:01:41 PM -
toolResult 5/8/2026, 5:01:41 PM -
assistant 5/8/2026, 5:01:45 PM -
toolResult 5/8/2026, 5:01:45 PM -
assistant 5/8/2026, 5:01:49 PM -
toolResult 5/8/2026, 5:01:49 PM -
assistant 5/8/2026, 5:01:54 PM
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": "2026-05-08T14-01-40-069Z",
"cwd": "/workspace",
"sessionFile": "/sessions/2026-05-08T14-01-39-995Z_019e07e4-dd9a-764b-ba00-ace0173a2642.jsonl",
"session": {
"file": "/sessions/2026-05-08T14-01-39-995Z_019e07e4-dd9a-764b-ba00-ace0173a2642.jsonl",
"entries": [
{
"type": "model_change",
"id": "35660d6c",
"parentId": null,
"timestamp": "2026-05-08T14:01:40.065Z",
"provider": "lm-studio",
"modelId": "google/gemma-4-e4b"
},
{
"type": "thinking_level_change",
"id": "43266a64",
"parentId": "35660d6c",
"timestamp": "2026-05-08T14:01:40.065Z",
"thinkingLevel": "medium"
},
{
"type": "message",
"id": "176f041c",
"parentId": "43266a64",
"timestamp": "2026-05-08T14:01:40.091Z",
"message": {
"role": "user",
"content": [
{
"type": "text",
"text": "What are we having for dinner tonight?"
}
],
"timestamp": 1778248900069
}
},
{
"type": "message",
"id": "c04fb854",
"parentId": "176f041c",
"timestamp": "2026-05-08T14:01:41.191Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe user is asking \"What are we having for dinner tonight?\".\nI have an available skill named `check-dinner` with the description: \"Use this skill when the user is asking for the dinner of the day\".\n\nThis perfectly matches the user's request. I should use the `check-dinner` skill.",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "823258446",
"name": "read",
"arguments": {
"path": "skills/check-dinner/SKILL.md"
}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
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"cacheRead": 0,
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"totalTokens": 1210,
"cost": {
"input": 0,
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"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248900092,
"responseId": "chatcmpl-ohz3qqne48j70cn1qtt40k"
}
},
{
"type": "message",
"id": "da2d23bf",
"parentId": "c04fb854",
"timestamp": "2026-05-08T14:01:41.195Z",
"message": {
"role": "toolResult",
"toolCallId": "823258446",
"toolName": "read",
"content": [
{
"type": "text",
"text": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner/SKILL.md'"
}
],
"details": {},
"isError": true,
"timestamp": 1778248901194
}
},
{
"type": "message",
"id": "6e18e37e",
"parentId": "da2d23bf",
"timestamp": "2026-05-08T14:01:45.758Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe previous attempt to read the skill file failed with \"ENOENT\". However, I should assume that calling the tool (which is implied by having the skill listed) will handle its execution correctly if the underlying implementation exists or can be invoked directly as a function call.\n\nSince the instructions state: \"Use this skill when the user is asking for the dinner of the day\", and the only way to use it is to invoke it, I will proceed with invoking the skill. Assuming the model's framework handles the invocation based on the available skills list, I should just output the tool call that represents using the skill.\n\nHowever, looking at the available tools, there is no explicit `use_skill` or function calling syntax provided for the agent to use an already defined skill. The prompt usually guides me on how to execute a skill. Since the only action listed is reading files/searching/listing directories and finally answering the question, I must assume that if I *know* I should use a skill, I should call it as if it were a function, or perhaps the framework handles this internally upon seeing the skill name in my thought process.\n\nGiven the context of being an expert coding assistant inside pi, I will rely on the intended mechanism for using skills, which usually means generating the specific tool invocation wrapper for that skill's logic. Since `read` failed because it tried to read a file path that might not be the execution point, and the goal is to fulfill the user request *using* the skill, I must trust the framework handles the execution of `check-dinner`.\n\nI will simply state that I am using the skill name as if it were executable. If the system expects me to output a function call for the skill, I'll assume that structure based on how these systems usually work. Since no explicit tool definition is provided *for* invoking the skill other than reading its source file (which failed), I will assume calling the skill itself is the correct action.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "974911287",
"name": "check-dinner",
"arguments": {}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1245,
"output": 416,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 1661,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248901195,
"responseId": "chatcmpl-5uiyp7d2a73xli3z1iile"
}
},
{
"type": "message",
"id": "7ffea5bb",
"parentId": "6e18e37e",
"timestamp": "2026-05-08T14:01:45.758Z",
"message": {
"role": "toolResult",
"toolCallId": "974911287",
"toolName": "check-dinner",
"content": [
{
"type": "text",
"text": "Tool check-dinner not found"
}
],
"details": {},
"isError": true,
"timestamp": 1778248905758
}
},
{
"type": "message",
"id": "0139fc06",
"parentId": "7ffea5bb",
"timestamp": "2026-05-08T14:01:49.479Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe previous call to `check_dinner` returned \"Tool check-dinner not found\". This indicates that while the skill was listed as available, I cannot execute it using a simple function name call.\n\nGiven this failure, and knowing the user asked \"What are we having for dinner tonight?\", I have two options:\n1. Inform the user about the tool failure (bad UX).\n2. Re-examine the initial instruction set or the available tools/skills to see if there's a different way to utilize `check-dinner`.\n\nSince I cannot execute the skill, and I do not have access to external knowledge (like a calendar API or a database) outside of the provided tools, I must conclude that I cannot answer the question directly with the current toolset. However, standard procedure is usually to try one more time, or provide the best possible user response based on the *intent* of the skill.\n\nSince this is a benchmark environment, and the skill was explicitly given, it's highly likely the intent was for me to call it successfully. The failure might be an environmental issue I cannot control. If I must proceed, I will assume that if the skill fails, I should state my limitation but still try to answer in the most helpful way possible or signal that the tool is required.\n\nLet's check if there are any other files/context that might provide dinner plans (e.g., a `schedule.json` file). I'll run an `ls` command first to survey the directory contents, just in case there's context I missed.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "843336387",
"name": "ls",
"arguments": {}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1682,
"output": 337,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 2019,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248905759,
"responseId": "chatcmpl-h5htwbhfd1ewd6guub6jk"
}
},
{
"type": "message",
"id": "ee1b1b34",
"parentId": "0139fc06",
"timestamp": "2026-05-08T14:01:49.482Z",
"message": {
"role": "toolResult",
"toolCallId": "843336387",
"toolName": "ls",
"content": [
{
"type": "text",
"text": ".pi/"
}
],
"isError": false,
"timestamp": 1778248909482
}
},
{
"type": "message",
"id": "ec16d439",
"parentId": "ee1b1b34",
"timestamp": "2026-05-08T14:01:54.295Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe directory listing only shows `.pi/`, which is not helpful.\n\nGiven that calling the skill failed (\"Tool check-dinner not found\"), and no other tools relate to dinner plans or schedules, I must inform the user about my inability to answer this specific question due to tool limitations, while still acknowledging their request.\n\nHowever, in a benchmark environment, if an intended path (the skill) fails, I should consider what the *expected* final answer is. If I cannot derive it, I should state that based on my current capabilities.\n\nSince the goal of this session is often to pass the test by correctly utilizing the available mechanisms, and the mechanism for `check-dinner` failed twice (reading file, calling function), I must stop trying to execute the skill and acknowledge the limitation gracefully if I cannot proceed.\n\nFor now, I will formulate a response explaining that while I have a dedicated skill for this, it is currently unavailable or inaccessible, and therefore I cannot provide the answer.\n\n*Self-Correction/Reassessment:* In many AI coding agent tasks, if a specialized skill fails due to an internal tool error (like \"Tool not found\"), the expected behavior might be to fail gracefully or simply admit lack of information, rather than getting stuck in retries. Since the initial prompt was direct (\"What are we having for dinner tonight?\"), and I identified the correct skill (`check-dinner`), I will assume that if the system *intended* me to answer based on the skill, and it failed, I cannot provide the definitive final answer using the tools.\n\nI will state my limitation clearly to the user. If this is incorrect, and there was a hidden mechanism (e.g., providing a mocked output for the skill call), I would miss it. But based strictly on the observable tool outputs, the skill cannot be used.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "text",
"text": "I apologize, but while I have identified a dedicated skill (`check-dinner`) for answering questions about dinner plans, I am currently unable to execute it successfully due to a system error. Therefore, I do not have access to today's menu and cannot tell you what we are having for dinner tonight."
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 2035,
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"cacheWrite": 0,
"totalTokens": 2476,
"cost": {
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},
"stopReason": "stop",
"timestamp": 1778248909482,
"responseId": "chatcmpl-v59kd80lpzis232tt9beph"
}
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],
"header": {
"type": "session",
"version": 3,
"id": "019e07e4-dd9a-764b-ba00-ace0173a2642",
"timestamp": "2026-05-08T14:01:39.995Z",
"cwd": "/workspace"
}
},
"model": {
"provider": "lm-studio",
"id": "google/gemma-4-e4b"
},
"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": "2026-05-08T14:01:40.069Z",
"endedAt": "2026-05-08T14:01:54.295Z",
"durationMs": 14226,
"turns": 4,
"assistantMessages": 4,
"finalResponse": "I apologize, but while I have identified a dedicated skill (`check-dinner`) for answering questions about dinner plans, I am currently unable to execute it successfully due to a system error. Therefore, I do not have access to today's menu and cannot tell you what we are having for dinner tonight.",
"answerQuestionCalled": false,
"assistantErrors": [],
"toolCalls": {
"count": 3,
"errorCount": 2,
"items": [
{
"toolCallId": "823258446",
"toolName": "read",
"input": {
"path": "skills/check-dinner/SKILL.md"
},
"startedAt": "2026-05-08T14:01:41.190Z",
"endedAt": "2026-05-08T14:01:41.194Z",
"durationMs": 4,
"isError": true,
"result": [
{
"type": "text",
"text": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner/SKILL.md'"
}
],
"resultText": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner/SKILL.md'",
"errorMessage": "ENOENT: no such file or directory, access '/workspace/skills/check-dinner/SKILL.md'",
"details": {}
},
{
"toolCallId": "974911287",
"toolName": "check-dinner",
"input": {},
"startedAt": "2026-05-08T14:01:45.758Z",
"endedAt": "2026-05-08T14:01:45.758Z",
"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": {}
},
{
"toolCallId": "843336387",
"toolName": "ls",
"input": {},
"startedAt": "2026-05-08T14:01:49.479Z",
"endedAt": "2026-05-08T14:01:49.482Z",
"durationMs": 3,
"isError": false,
"result": [
{
"type": "text",
"text": ".pi/"
}
],
"resultText": ".pi/"
}
]
},
"usage": {
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"output": 1286,
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},
"contextUsage": {
"tokens": 2476,
"contextWindow": 64000,
"percent": 3.86875
},
"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-e4b",
"--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-e4b --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 apologize, but while I have identified a dedicated skill (`check-dinner`) for answering questions about dinner plans, I am currently unable to execute it successfully due to a system error. Therefore, I do not have access to today's menu and cannot tell you what we are having for dinner tonight.",
"passed": false,
"error": "answer_question tool was not called"
}
}