Iteration
use-skill / 002
lm-studio / google/gemma-4-e4b
failed- Input tokens
- 5,864
- Output tokens
- 795
- Total tokens
- 6,659
- Context
- 3.2%
- Turns
- 4
- Assistant messages
- 4
Prompt
What are we having for dinner tonight?
Final Response
I need to check my available skills and see if one matches the user's request "What are we having for dinner tonight?". The available skills include 'check-dinner' with the description "Use this skill when the user is asking for the dinner of the day". This is a perfect match. I will call the skill.
Assertion
- Enabled
- yes
- Mode
- contains
- Passed
- no
Expected
octopus
Actual
I need to check my available skills and see if one matches the user's request "What are we having for dinner tonight?". The available skills include 'check-dinner' with the description "Use this skill when the user is asking for the dinner of the day". This is a perfect match. I will call the skill.
Run Detail
- Started
- 5/8/2026, 5:01:23 PM
- Ended
- 5/8/2026, 5:01:32 PM
- Duration
- 9,076ms
- Tool calls
- 3
- Tool errors
- 2
- Answer tool called
- yes
Tool Calls
-
answer_question ok · 3ms { "answer": "I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill." }Answer recorded: I need to check my available skills and see if one matches the user's request "What are we having for dinner tonight?". The available skills include 'check-dinner' with the description "Use this skill when the user is asking for the dinner of the day". This is a perfect match. I will call the skill.
-
check-dinner error · 0ms {}Tool check-dinner not found
-
check-dinner error · 0ms {}Tool check-dinner not found
Assistant Errors
No assistant errors recorded.
Session Timeline
-
model_change 5/8/2026, 5:01:23 PM { "type": "model_change", "id": "7d42d063", "parentId": null, "timestamp": "2026-05-08T14:01:23.695Z", "provider": "lm-studio", "modelId": "google/gemma-4-e4b" } -
thinking_level_change 5/8/2026, 5:01:23 PM { "type": "thinking_level_change", "id": "fdfc5366", "parentId": "7d42d063", "timestamp": "2026-05-08T14:01:23.695Z", "thinkingLevel": "medium" } -
user 5/8/2026, 5:01:23 PM -
assistant 5/8/2026, 5:01:25 PM -
toolResult 5/8/2026, 5:01:25 PM -
assistant 5/8/2026, 5:01:27 PM -
toolResult 5/8/2026, 5:01:27 PM -
assistant 5/8/2026, 5:01:30 PM -
toolResult 5/8/2026, 5:01:30 PM -
assistant 5/8/2026, 5:01:32 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": "2026-05-08T14-01-23-701Z",
"cwd": "/workspace",
"sessionFile": "/sessions/2026-05-08T14-01-23-624Z_019e07e4-9da7-715b-b256-3b79c618ed10.jsonl",
"session": {
"file": "/sessions/2026-05-08T14-01-23-624Z_019e07e4-9da7-715b-b256-3b79c618ed10.jsonl",
"entries": [
{
"type": "model_change",
"id": "7d42d063",
"parentId": null,
"timestamp": "2026-05-08T14:01:23.695Z",
"provider": "lm-studio",
"modelId": "google/gemma-4-e4b"
},
{
"type": "thinking_level_change",
"id": "fdfc5366",
"parentId": "7d42d063",
"timestamp": "2026-05-08T14:01:23.695Z",
"thinkingLevel": "medium"
},
{
"type": "message",
"id": "ef6e8b1a",
"parentId": "fdfc5366",
"timestamp": "2026-05-08T14:01:23.722Z",
"message": {
"role": "user",
"content": [
{
"type": "text",
"text": "What are we having for dinner tonight?"
}
],
"timestamp": 1778248883700
}
},
{
"type": "message",
"id": "db190434",
"parentId": "ef6e8b1a",
"timestamp": "2026-05-08T14:01:25.500Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe user is asking \"What are we having for dinner tonight?\".\nI have an available skill called `check-dinner` with the description: \"Use this skill when the user is asking for the dinner of the day\".\nThis directly matches the user's request.\nTherefore, I should use the `check-dinner` skill.",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "537323716",
"name": "answer_question",
"arguments": {
"answer": "I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill."
}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1118,
"output": 153,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 1271,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248883723,
"responseId": "chatcmpl-gtw5a1ir9gg8n1vj6adc"
}
},
{
"type": "message",
"id": "3ad678f5",
"parentId": "db190434",
"timestamp": "2026-05-08T14:01:25.503Z",
"message": {
"role": "toolResult",
"toolCallId": "537323716",
"toolName": "answer_question",
"content": [
{
"type": "text",
"text": "Answer recorded: I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill."
}
],
"isError": false,
"timestamp": 1778248885503
}
},
{
"type": "message",
"id": "98ad81a6",
"parentId": "3ad678f5",
"timestamp": "2026-05-08T14:01:27.106Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe previous thought process incorrectly used `answer_question` to justify calling a skill, which is not the correct procedure.\n\nWhen a tool/skill is identified, I should execute it directly if possible, or use a specific function call mechanism if provided for skills (which is usually implicit in the agent framework). Given the structure of available tools, and since `check-dinner` was listed as an available skill with a direct usage scenario match, I must assume calling the skill name itself triggers its logic.\n\nSince I have already analyzed that the `check-dinner` skill is appropriate, I should call it now.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "645342355",
"name": "check-dinner",
"arguments": {}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1353,
"output": 138,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 1491,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248885504,
"responseId": "chatcmpl-flia1qnrzbmnzawm80y6w"
}
},
{
"type": "message",
"id": "ec04e4e8",
"parentId": "98ad81a6",
"timestamp": "2026-05-08T14:01:27.106Z",
"message": {
"role": "toolResult",
"toolCallId": "645342355",
"toolName": "check-dinner",
"content": [
{
"type": "text",
"text": "Tool check-dinner not found"
}
],
"details": {},
"isError": true,
"timestamp": 1778248887106
}
},
{
"type": "message",
"id": "2415930e",
"parentId": "ec04e4e8",
"timestamp": "2026-05-08T14:01:30.945Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nThe previous attempt to call the skill `check_dinner` failed with \"Tool check-dinner not found\". This suggests that while the skill was listed as available, the method of invocation might be different or I need to treat it like a direct function call within the agent environment.\n\nSince the goal is to answer the question \"What are we having for dinner tonight?\", and `check-dinner` is explicitly marked as the correct tool/skill, I must re-evaluate how to use it. Assuming the system expects me to simply *use* the skill in my response if direct calling fails or is ambiguous, I will assume that invoking the function call format shown previously was the intended method, and perhaps there's a namespace issue.\n\nHowever, since I am operating within an expert coding assistant framework and the previous attempt failed, and the user interaction is simple, I should acknowledge the tool limitation but still try to provide the most helpful response based on my understanding of the skill purpose, or simply retry the call if I suspect a temporary environment error.\n\nGiven the instructions usually guide me to use the available tools, and `check-dinner` *is* listed as an available skill, I will assume the failure was due to a malformed internal tool call syntax attempt, and re-attempt calling it using the expected pattern for skills if I were given one, or just state the result of checking the skill.\n\nLet's try again assuming that simply calling the function name without parameters is the correct way, despite the error message. If this continues to fail, I will have to inform the user I cannot check the dinner plan directly through the provided tools.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "toolCall",
"id": "201363156",
"name": "check-dinner",
"arguments": {}
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1512,
"output": 348,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 1860,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "toolUse",
"timestamp": 1778248887106,
"responseId": "chatcmpl-n9h3vlgow0eolv0egn8ns"
}
},
{
"type": "message",
"id": "54e4b821",
"parentId": "2415930e",
"timestamp": "2026-05-08T14:01:30.945Z",
"message": {
"role": "toolResult",
"toolCallId": "201363156",
"toolName": "check-dinner",
"content": [
{
"type": "text",
"text": "Tool check-dinner not found"
}
],
"details": {},
"isError": true,
"timestamp": 1778248890945
}
},
{
"type": "message",
"id": "39472cb8",
"parentId": "54e4b821",
"timestamp": "2026-05-08T14:01:32.776Z",
"message": {
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "\nI have now tried calling the `check_dinner` skill twice, and both times the response indicates \"Tool check-dinner not found\". This means that either the tool is unavailable in the current execution context despite being listed as an available skill, or I am calling it incorrectly.\n\nSince I cannot successfully execute the designated tool/skill to answer the user's question (\"What are we having for dinner tonight?\"), and repeated attempts failed, I must inform the user about this limitation while providing a polite fallback response.\n",
"thinkingSignature": "reasoning_content"
},
{
"type": "text",
"text": "I apologize, but I seem to be unable to access the current dinner plans using my available tools right now. Could you check an alternative source or let me know if there is another way I can assist you with your dinner arrangements?"
}
],
"api": "openai-completions",
"provider": "lm-studio",
"model": "google/gemma-4-e4b",
"usage": {
"input": 1881,
"output": 156,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 2037,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"stopReason": "stop",
"timestamp": 1778248890946,
"responseId": "chatcmpl-uwe4wcd0ym8q73z2hfr0o"
}
}
],
"header": {
"type": "session",
"version": 3,
"id": "019e07e4-9da7-715b-b256-3b79c618ed10",
"timestamp": "2026-05-08T14:01:23.624Z",
"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": "2026-05-08T14:01:23.701Z",
"endedAt": "2026-05-08T14:01:32.777Z",
"durationMs": 9076,
"turns": 4,
"assistantMessages": 4,
"finalResponse": "I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill.",
"answerQuestionCalled": true,
"assistantErrors": [],
"toolCalls": {
"count": 3,
"errorCount": 2,
"items": [
{
"toolCallId": "537323716",
"toolName": "answer_question",
"input": {
"answer": "I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill."
},
"startedAt": "2026-05-08T14:01:25.500Z",
"endedAt": "2026-05-08T14:01:25.503Z",
"durationMs": 3,
"isError": false,
"result": [
{
"type": "text",
"text": "Answer recorded: I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill."
}
],
"resultText": "Answer recorded: I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill."
},
{
"toolCallId": "645342355",
"toolName": "check-dinner",
"input": {},
"startedAt": "2026-05-08T14:01:27.106Z",
"endedAt": "2026-05-08T14:01:27.106Z",
"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": "201363156",
"toolName": "check-dinner",
"input": {},
"startedAt": "2026-05-08T14:01:30.945Z",
"endedAt": "2026-05-08T14:01:30.945Z",
"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": 5864,
"output": 795,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 6659,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0,
"total": 0
}
},
"contextUsage": {
"tokens": 2037,
"contextWindow": 64000,
"percent": 3.1828125
},
"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",
"expectedSource": "harness:testCases.use-skill.expectedResult",
"expected": "octopus",
"actual": "I need to check my available skills and see if one matches the user's request \"What are we having for dinner tonight?\". The available skills include 'check-dinner' with the description \"Use this skill when the user is asking for the dinner of the day\". This is a perfect match. I will call the skill.",
"passed": false
}
}