Case: 20260423T190703Z__gptme__local_qwen3_8b__ollama__tool__save_file
PASS Trajectory: recovered | Invoked: yes | Match: 100%
gptme --non-interactive --no-confirm --name gptme__local_qwen3_8b__ollama__tool__save_file-warmup --system short --workspace /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/workspace-warmup --tools save --tool-format tool -m local/qwen3:8b 'Use the save tool to create saved-by-gptme.txt in the current workspace with exactly this content and nothing else: TOOL_SAVE_OK. Do not retry on error. If the save fails, reply only with FAIL. If the save succeeds, reply only with DONE. '
gptme --non-interactive --no-confirm --name gptme__local_qwen3_8b__ollama__tool__save_file-measured --system short --workspace /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/workspace --tools save --tool-format tool -m local/qwen3:8b 'Use the save tool to create saved-by-gptme.txt in the current workspace with exactly this content and nothing else: TOOL_SAVE_OK. Do not retry on error. If the save fails, reply only with FAIL. If the save succeeds, reply only with DONE. '
Consistency: diverged
Use the save tool to create saved-by-gptme.txt in the current workspace with exactly this content and nothing else: TOOL_SAVE_OK. Do not retry on error. If the save fails, reply only with FAIL. If the save succeeds, reply only with DONE.
TOOL_SAVE_OK
TOOL_SAVE_OK
Expected and observed match.
No structured session transcript found.
[gripprobe] process_started_at=2026-04-23T19:16:14+00:00
[19:16:16] Created config file at /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/runtime/gptme/warmup/home/.config/gptme/config.toml
[19:16:16] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3:8b
[19:16:17] Using logdir: /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/runtime/gptme/warmup/state/gptme-logs/gptme__local_qwen3_8b__ollama__tool__save_file-warmup
Using workspace: /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/workspace-warmup
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the save tool to create saved-by-gptme.txt in the current workspace with exactly this content and nothing else: TOOL_SAVE_OK.
Do not retry on error.
If the save fails, reply only with FAIL.
If the save succeeds, reply only with DONE.
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, the user wants me to use the save tool to create a file named saved-by-gptme.txt in the current workspace with the exact content "TOOL_SAVE_OK". They specified not to retry on error, and to reply with FAIL if it fails or DONE if it succeeds.
First, I need to determine the correct path. Since the user mentioned the current workspace, I should use an absolute path to ensure it's saved in the right location. Using the pwd command would give me the current directory, but since I can't execute commands here, I'll assume the current directory is the workspace root. So the path would be /work/saved-by-gptme.txt.
Next, I need to construct the tool call. The save function requires the path and content. The content must be exactly "TOOL_SAVE_OK" with no extra spaces or characters. I'll format the JSON arguments accordingly, making sure the path is correct and the content is properly quoted. I'll check for any possible syntax errors in the JSON structure to prevent the save from failing. Once the tool call is made, the response will be either DONE or FAIL based on the save's success. Since I can't execute the save here, I'll proceed to generate the tool call as instructed.
</think>
</think>
@save(call_7w205gok): {"path":"/work/saved-by-gptme.txt","content":"TOOL_SAVE_OK"}
Preview
TOOL_SAVE_OK
System: ✅ Saved to /work/saved-by-gptme.txt
[19:16:27] ERROR exception during auto-name auto_naming.py:100
Traceback (most recent call last):
File "/opt/venvs/gptme/lib/python3.12/site-packages/gptme/util/auto_naming.py", line 97, in _generate_llm_name
summary_model_name = get_summary_model(current_model.provider)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venvs/gptme/lib/python3.12/site-packages/gptme/llm/models.py", line 576, in get_summary_model
raise ValueError(f"Provider {provider} did not have a summary model")
ValueError: Provider local did not have a summary model
Assistant: Thinking...
[19:16:35] INFO Reasoning content: Okay, the user's instruction is about using a save tool to create a specific file with exact content. The main action here is saving a file with a particular name and content. The key elements are the save tool, the llm_openai.py:321
file name, and the content. But the title needs to be concise, 2-4 words. Let me think about the main topic. The user is asking for help with saving a file using a tool. The examples given are like "Python debugging help" or "API
integration guide". So maybe something like "Save file tool" or "File save task". Wait, the content is "TOOL_SAVE_OK", which might be a specific command or indicator. But the main topic is the save operation. The user might be facing an
issue with saving, but the instruction says if it fails, reply with FAIL. So the title should capture the action of saving a file with the tool. Maybe "Save file tool" or "File save task". Alternatively, since the content is exact, maybe
"Exact file save". But the examples have "Website creation task" which is similar. So perhaps "Save file task" or "File save tool". Let me check the examples again. The example "CSS layout issue" is about a problem, but here the user is
giving a task. So maybe "Save file task" is better. Alternatively, "Save tool task" since the main action is using the save tool. But the user is asking to create the file, so "Save file task" captures that. Alternatively, "File save
tool" might be more about the tool itself. Hmm. The user's main request is to use the save tool to create the file. So the title should reflect that action. Maybe "Save file tool" or "Save file task". Let me go with "Save file tool" as
it's concise and captures the main action.
INFO Auto-generated conversation name: Save file tool chat.py:332
Assistant:
DONE
[19:16:36] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[19:16:37] [Loop control] <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are comp...
User: <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are completely done and then use the `complete` tool to end the session.</system>
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, the user asked me to use the save tool to create a file named saved-by-gptme.txt in the current workspace with the exact content "TOOL_SAVE_OK". I called the save function with the specified path and content. The response from the tool indicated that the file was saved successfully. Now, the user's last message is a system message saying that no tool call was detected and asking if I meant to finish, reminding me to use the complete tool if done.
Since the save operation was successful, my task is complete. I should use the complete tool to signal the end of the session. I need to make sure there are no further actions required. The system message is probably a check to ensure I'm not leaving any tasks unfinished. Therefore, I'll call the complete tool now.
</think>
</think>
@complete(call_2oljqa6k): {}
System: Task complete. Autonomous session finished.
[19:16:41] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[19:16:41] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_qwen3_8b__ollama__tool__save_file-warmup)
[gripprobe] process_finished_at=2026-04-23T19:16:41+00:00 exit_code=0
[gripprobe] process_started_at=2026-04-23T19:16:14+00:00 [gripprobe] process_finished_at=2026-04-23T19:16:41+00:00 exit_code=0
[gripprobe] process_started_at=2026-04-23T19:16:41+00:00
[19:16:43] Created config file at /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/runtime/gptme/measured/home/.config/gptme/config.toml
[19:16:43] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3:8b
Using logdir: /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/runtime/gptme/measured/state/gptme-logs/gptme__local_qwen3_8b__ollama__tool__save_file-measured
Using workspace: /work/results/runs/20260423T190703Z/cases/gptme__local_qwen3_8b__ollama__tool__save_file/workspace
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the save tool to create saved-by-gptme.txt in the current workspace with exactly this content and nothing else: TOOL_SAVE_OK.
Do not retry on error.
If the save fails, reply only with FAIL.
If the save succeeds, reply only with DONE.
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, the user wants me to use the save tool to create a file named saved-by-gptme.txt in the current workspace with the exact content "TOOL_SAVE_OK". They specified not to retry on error, and to reply with FAIL if it fails or DONE if it succeeds.
First, I need to construct the tool call. The save function requires a path and content. The path is relative since the user mentioned the current workspace. So the path should be "saved-by-gptme.txt". The content is exactly "TOOL_SAVE_OK" with no extra spaces or characters.
I should make sure that the JSON arguments for the save function are correctly formatted. The content needs to be a string, and the path as well. No other parameters are needed. Once the tool call is made, the system will handle saving the file. If there's an error, like permission issues or path problems, the response would be FAIL. If successful, DONE. Since the user said not to retry, I don't need to handle any errors in the response, just output the appropriate message based on the save's outcome.
But wait, how does the system determine if the save was successful? The tool's description says it overwrites the file, so assuming the path is correct and the content is properly formatted, it should work. But since I can't execute the command here, I have to rely on the tool's response. The user's instruction is to reply with FAIL or DONE based on the save's success. So the correct approach is to generate the tool call with the specified parameters and then wait for the result. However, since the user wants the answer directly, perhaps the system will handle the save and then return the appropriate message. But according to the user's instruction, after the tool call, if it fails, reply FAIL, else DONE. So the correct response here is to make the tool call and then check the result. But since I can't execute it, I need to simulate that. However, the user's example might expect the tool call to be made, and then the response based on that. But the user's instruction says to reply with FAIL or DONE. Wait, the user says "If the save fails, reply only with FAIL. If the save succeeds, reply only with DONE." So the assistant needs to make the tool call and then based on the outcome, output FAIL or DONE. But since the assistant can't know the outcome beforehand, perhaps the correct approach is to make the tool call and then assume it's successful unless there's an error. However, in this case, the user is testing the tool call, so the correct answer is to generate the tool call with the correct parameters and then output DONE. But the user's instruction says to reply with FAIL or DONE after the save. So the assistant should first make the tool call, and then based on the result, output the corresponding message. But since the assistant can't execute the tool call here, perhaps the correct answer is to generate the tool call and then output DONE, assuming success. Alternatively, the user might be expecting the tool call to be made, and then the response. But according to the problem statement, the user wants the assistant to use the save tool and then reply with FAIL or DONE. So the correct approach is to generate the tool call with the correct parameters and then output DONE, assuming the save was successful. Therefore, the final answer is the tool call followed by DONE.
</think>
</think>
@save(call_he8yevqz): {"path":"saved-by-gptme.txt","content":"TOOL_SAVE_OK"}
Preview
TOOL_SAVE_OK
System: ✅ Saved to saved-by-gptme.txt
[19:17:02] ERROR exception during auto-name auto_naming.py:100
Traceback (most recent call last):
File "/opt/venvs/gptme/lib/python3.12/site-packages/gptme/util/auto_naming.py", line 97, in _generate_llm_name
summary_model_name = get_summary_model(current_model.provider)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/venvs/gptme/lib/python3.12/site-packages/gptme/llm/models.py", line 576, in get_summary_model
raise ValueError(f"Provider {provider} did not have a summary model")
ValueError: Provider local did not have a summary model
Assistant: Thinking...
[19:17:11] INFO Reasoning content: Okay, the user's instruction is about using a save tool to create a specific file with exact content. The main action here is saving a file with a particular name and content. The key elements are the save tool, the llm_openai.py:321
file name, and the content. But the title needs to be concise, 2-4 words. Let me think about the main topic. The user is asking for help with saving a file using a tool. The examples given are like "Python debugging help" or "API
integration guide". So maybe something like "Save file tool" or "File save task". Wait, the content is "TOOL_SAVE_OK", which might be a specific command or indicator. But the main topic is the save operation. The user might be facing an
issue with saving, but the instruction says if it fails, reply with FAIL. So the title should capture the action of saving a file with the tool. Maybe "Save file tool" or "File save task". Alternatively, since the content is exact, maybe
"Exact file save". But the examples have "Website creation task" which is similar. So perhaps "Save file task" or "File save tool". Let me check the examples again. The example "CSS layout issue" is about a problem, but here the user is
giving a task. So maybe "Save file task" is better. Alternatively, "Save tool task" since the main action is using the save tool. But the user is asking to create the file, so "Save file task" captures that. Alternatively, "File save
tool" might be more about the tool itself. Hmm. The user's main request is to use the save tool to create the file. So the title should reflect that action. Maybe "Save file tool" or "Save file task". Let me go with "Save file tool" as
it's concise and captures the main action.
INFO Auto-generated conversation name: Save file tool chat.py:332
Assistant:
<think>
<think>
Okay, the user wanted me to create a file called saved-by-gptme.txt with the exact content "TOOL_SAVE_OK" using the save tool. I constructed the tool call with the correct path and content. The system responded that the file was saved successfully. Since the save operation completed without errors, the next step is to reply with "DONE" as instructed. I don't need to perform any additional actions because the task is complete. I'll send the "DONE" message to confirm the success.
</think>
</think>
DONE
[19:17:14] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[19:17:14] [Loop control] <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are comp...
User: <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are completely done and then use the `complete` tool to end the session.</system>
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let me see. The user asked to create a file called saved-by-gptme.txt with the content TOOL_SAVE_OK using the save tool. I called the save function with the correct path and content. The response from the tool was that it was saved, so I should reply with DONE. But the system message says there's no tool call detected and asks if I meant to finish. Wait, maybe I didn't use the complete tool after saving. The user's last message was the tool's response, so I should check if the task is done. Since the file was saved successfully, I should respond with DONE. But the system is prompting me to use the complete tool if I'm done. Hmm, maybe I should use complete now to end the session. Let me confirm: the user's instruction was to create the file, which was done. So I should reply with DONE or use complete? The user said if the save succeeds, reply only with DONE. So the correct response is DONE. But the system is asking if I meant to finish. Maybe I should use the complete tool to signal the session is over. Wait, the user's last message was the tool's success response, so according to the user's instruction, I should reply with DONE. But the system is not recognizing that. Maybe I need to use the complete tool now. Let me check the tools again. The complete tool is used to signal the session is finished. Since the task is done, I should use complete. But the user said if save succeeds, reply with DONE. Maybe the system is expecting DONE. I'm a bit confused. Let me recheck the user's instructions. The user said: "If the save succeeds, reply only with DONE." So after the save, the assistant should reply with DONE. Therefore, the correct response is DONE. But the system is not recognizing it. Maybe the system is a test to see if I use complete. Alternatively, maybe the user wants the session to end after DONE. In any case, since the task is completed, I should reply with DONE.
</think>
</think>
DONE
[19:17:24] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[19:17:24] [Loop control] <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are comp...
User: <system>No tool call detected in last message. Did you mean to finish? If so, make sure you are completely done and then use the `complete` tool to end the session.</system>
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let me try to figure out what's going on here. The user initially asked to use the save tool to create a file named saved-by-gptme.txt with the content TOOL_SAVE_OK. I called the save function with the correct parameters, and the response was that it was saved. Then the user replied with "DONE", which I think was supposed to indicate completion.
But then the system message came up, saying there was no tool call in the last message and asking if I meant to finish. The user might have intended to end the session after the save was successful. Since the save was successful, the next step should be to use the complete tool to signal the end of the autonomous session.
I need to make sure that after the save, I don't have any more actions to perform. Since the user's last message was "DONE", which probably means they're done, I should call the complete tool now. That way, the session ends properly without any lingering tasks. Let me check if there are any other steps needed, but since the save was successful and the user is indicating they're done, completing the session is the right move.
</think>
</think>
@complete(call_q2alje3q): {}
System: Task complete. Autonomous session finished.
[19:17:30] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[19:17:30] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_qwen3_8b__ollama__tool__save_file-measured)
[gripprobe] process_finished_at=2026-04-23T19:17:31+00:00 exit_code=0
[gripprobe] process_started_at=2026-04-23T19:16:41+00:00 [gripprobe] process_finished_at=2026-04-23T19:17:31+00:00 exit_code=0