Case: 20260501T141352Z__gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw
PASS Trajectory: recovered | Invoked: yes | Match: 100%
gptme --non-interactive --no-confirm --name gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-warmup --system short --workspace /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/workspace-warmup --tools shell --tool-format tool -m local/qwen3.5:9b 'Use the shell tool. Read search-url.txt and query.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 Save the raw JSON response exactly as returned to search-response.json in the current workspace. Do not transform fields and do not wrap with extra text. If successful, reply only DONE. If command execution fails, reply only FAIL. '
gptme --non-interactive --no-confirm --name gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-measured --system short --workspace /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/workspace --tools shell --tool-format tool -m local/qwen3.5:9b 'Use the shell tool. Read search-url.txt and query.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 Save the raw JSON response exactly as returned to search-response.json in the current workspace. Do not transform fields and do not wrap with extra text. If successful, reply only DONE. If command execution fails, reply only FAIL. '
Consistency: diverged
Use the shell tool. Read search-url.txt and query.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 Save the raw JSON response exactly as returned to search-response.json in the current workspace. Do not transform fields and do not wrap with extra text. If successful, reply only DONE. If command execution fails, reply only FAIL.
{"query": "weekly plan 229069a7f76e checkbox", "returned": 8, "total": 8}
REQUEST_HIT=/search/MpE0nroho2_v32Q4bU3gtnM-
{"error": "", "query": "weekly plan 229069a7f76e checkbox", "results": [{"id": "doc-intro", "lang": "en", "score": 0.72, "snippet": "Basic markdown checklist examples.", "title": "Markdown planning intro", "url": "https://kb.example/intro"}, {"id": "doc-70272934", "lang": "en", "score": 0.97, "snippet": "Actionable template. Required token: 31d017f73285b35e.", "title": "Weekly planning with checkboxes", "url": "https://kb.example/777a2a5af519"}, {"id": "doc-alt-token", "lang": "en", "score": 0.84, "snippet": "Also mentions token 31d017f73285b35e, but less relevant.", "title": "Alternate planning approach", "url": "https://kb.example/alt"}, {"id": "doc-ru", "lang": "ru", "score": 0.61, "snippet": "Русскоязычный шаблон.", "title": "План на неделю", "url": "https://kb.example/ru-weekly"}, {"id": "doc-de", "lang": "de", "score": 0.59, "snippet": "Deutsche Checklisten-Idee.", "title": "Wochenplan Vorlage", "url": "https://kb.example/de-weekly"}, {"id": "doc-noise-1", "lang": "en", "score": 0.44, "snippet": "Time-blocking article.", "title": "General productivity", "url": "https://kb.example/noise-1"}, {"id": "doc-noise-2", "lang": "en", "score": 0.37, "snippet": "Unrelated meeting summary.", "title": "Meeting notes", "url": "https://kb.example/noise-2"}, {"id": "doc-noise-3", "lang": "en", "score": 0.21, "snippet": "Groceries list example.", "title": "Shopping checklist", "url": "https://kb.example/noise-3"}], "returned": 8, "total": 8}
REQUEST_HIT=yes
--- expected
+++ observed
@@ -1,2 +1,2 @@
-{"query": "weekly plan 229069a7f76e checkbox", "returned": 8, "total": 8}
-REQUEST_HIT=/search/MpE0nroho2_v32Q4bU3gtnM-
+{"error": "", "query": "weekly plan 229069a7f76e checkbox", "results": [{"id": "doc-intro", "lang": "en", "score": 0.72, "snippet": "Basic markdown checklist examples.", "title": "Markdown planning intro", "url": "https://kb.example/intro"}, {"id": "doc-70272934", "lang": "en", "score": 0.97, "snippet": "Actionable template. Required token: 31d017f73285b35e.", "title": "Weekly planning with checkboxes", "url": "https://kb.example/777a2a5af519"}, {"id": "doc-alt-token", "lang": "en", "score": 0.84, "snippet": "Also mentions token 31d017f73285b35e, but less relevant.", "title": "Alternate planning approach", "url": "https://kb.example/alt"}, {"id": "doc-ru", "lang": "ru", "score": 0.61, "snippet": "Русскоязычный шаблон.", "title": "План на неделю", "url": "https://kb.example/ru-weekly"}, {"id": "doc-de", "lang": "de", "score": 0.59, "snippet": "Deutsche Checklisten-Idee.", "title": "Wochenplan Vorlage", "url": "https://kb.example/de-weekly"}, {"id": "doc-noise-1", "lang": "en", "score": 0.44, "snippet": "Time-blocking article.", "title": "General productivity", "url": "https://kb.example/noise-1"}, {"id": "doc-noise-2", "lang": "en", "score": 0.37, "snippet": "Unrelated meeting summary.", "title": "Meeting notes", "url": "https://kb.example/noise-2"}, {"id": "doc-noise-3", "lang": "en", "score": 0.21, "snippet": "Groceries list example.", "title": "Shopping checklist", "url": "https://kb.example/noise-3"}], "returned": 8, "total": 8}
+REQUEST_HIT=yes
No structured session transcript found.
[gripprobe] process_started_at=2026-05-01T14:34:02+00:00
[14:34:04] Created config file at /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/runtime/gptme/warmup/home/.config/gptme/config.toml
[14:34:04] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3.5:9b
Using logdir: /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/runtime/gptme/warmup/state/gptme-logs/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-warmup
Using workspace: /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/workspace-warmup
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the shell tool.
Read search-url.txt and query.txt from the current workspace.
Call the search endpoint with query parameters:
- q=<urlencoded query from query.txt>
- format=json
- limit=8
Save the raw JSON response exactly as returned to search-response.json in the current workspace.
Do not transform fields and do not wrap with extra text.
If successful, reply only DONE.
If command execution fails, reply only FAIL.
````search-url.txt
http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm
````
````query.txt
warmup query 03090b39
````
Assistant: Thinking...
Assistant:
<think>
<think>
The user wants me to:
1. Read search-url.txt to get the search URL
2. Read query.txt to get the query
3. Call the search endpoint with the query parameters
4. Save the raw JSON response to search-response.json
Let me start by reading both files to understand what I'm working with.
</think>
</think>
@shell(call_rhvsbclg): {"command":"cat search-url.txt"}
http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm
System:
Ran allowlisted command: `cat search-url.txt`
`http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm`
Assistant: Thinking...
[14:34:20] 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
[14:34:40] INFO Reasoning content: The user is asking me to create a 2-4 word title for this conversation. Looking at the conversation, it's about using a shell tool to read files and call a search endpoint. llm_openai.py:321
The main topic is about shell tool usage for file reading and API calls.
Let me create a concise title:
- "Shell tool search task"
- "File reading and search"
- "Search endpoint integration"
- "Shell script automation"
I think "Shell tool search task" or "Search endpoint integration" would work best. Let me go with something that captures the main action.
"Shell search endpoint task" - 4 words
"Search endpoint integration" - 3 words
"Shell tool search task" - 4 words
I'll go with "Shell search endpoint task" or "Search endpoint integration"
Actually, looking at the conversation more carefully, it's about using shell tool to read files and call search endpoint. Let me make it more specific.
"Shell search endpoint task" - 4 words
INFO Auto-generated conversation name: Shell search endpoint task chat.py:332
Assistant:
<think>
<think>
Good, I have the search URL. Now let me read the query.txt file.
</think>
</think>
@shell(call_pxcqdx7o): {"command":"cat query.txt"}
warmup query 03090b39
System:
Ran allowlisted command: `cat query.txt`
`warmup query 03090b39`
Assistant: Thinking...
Assistant:
<think>
<think>
Now I have:
- URL: http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm
- Query: warmup query 03090b39
I need to call the search endpoint with:
- q=<urlencoded query from query.txt>
- format=json
- limit=8
The query is "warmup query 03090b39". I need to URL encode it. Let me use curl to make the request.
</think>
</think>
@shell(call_yitfqw42): {"command":"curl -s \"http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm?q=warmup%20query%2003090b39\u0026format=json\u0026limit=8\" \u003e search-response.json"}
Preview
curl -s "http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm?q=warmup%20query%2003090b39&format=json&limit=8" > search-response.json
System:
Ran command: `curl -s "http://127.0.0.1:44363/search/sVLWjt07di30Y_7cdd57HAWm?q=warmup%20query%2003090b39&format=json&limit=8" > search-response.json`
No output
Assistant: Thinking...
Assistant:
<think>
<think>
The command ran successfully with no output (which is expected for curl -s). Let me verify the file was created and contains the expected JSON response.
</think>
</think>
@shell(call_f7gx7x8a): {"command":"cat search-response.json"}
{"query": "warmup query 03090b39", "results": [{"id": "doc-intro", "title": "Markdown planning intro", "url": "https://kb.example/intro", "snippet": "Basic markdown checklist examples.", "score": 0.72, "lang": "en"}, {"id": "doc-2eede16a", "title": "Weekly planning with checkboxes", "url": "https://kb.example/e1c045f24da5", "snippet": "Actionable template. Required token: dd9cedb331e0.", "score": 0.94, "lang": "en"}, {"id": "doc-alt-token", "title": "Alternate planning approach", "url": "https://kb.example/alt", "snippet": "Also mentions token dd9cedb331e0, but less relevant.", "score": 0.8099999999999999, "lang": "en"}, {"id": "doc-ru", "title": "План на неделю", "url": "https://kb.example/ru-weekly", "snippet": "Русскоязычный шаблон.", "score": 0.61, "lang": "ru"}, {"id": "doc-de", "title": "Wochenplan Vorlage", "url": "https://kb.example/de-weekly", "snippet": "Deutsche Checklisten-Idee.", "score": 0.59, "lang": "de"}, {"id": "doc-noise-1", "title": "General productivity", "url": "https://kb.example/noise-1", "snippet": "Time-blocking article.", "score": 0.44, "lang": "en"}, {"id": "doc-noise-2", "title": "Meeting notes", "url": "https://kb.example/noise-2", "snippet": "Unrelated meeting summary.", "score": 0.37, "lang": "en"}, {"id": "doc-noise-3", "title": "Shopping checklist", "url": "https://kb.example/noise-3", "snippet": "Groceries list example.", "score": 0.21, "lang": "en"}], "total": 8, "returned": 8, "error": ""}System:
Ran allowlisted command: `cat search-response.json`
`{"query": "warmup query 03090b39", "results": [{"id": "doc-intro", "title": "Markdown planning intro", "url": "https://kb.example/intro", "snippet": "Basic markdown checklist examples.", "score": 0.72, "lang": "en"}, {"id": "doc-2eede16a", "title": "Weekly planning with
checkboxes", "url": "https://kb.example/e1c045f24da5", "snippet": "Actionable template. Required token: dd9cedb331e0.", "score": 0.94, "lang": "en"}, {"id": "doc-alt-token", "title": "Alternate planning approach", "url": "https://kb.example/alt", "snippet": "Also mentions
token dd9cedb331e0, but less relevant.", "score": 0.8099999999999999, "lang": "en"}, {"id": "doc-ru", "title": "План на неделю", "url": "https://kb.example/ru-weekly", "snippet": "Русскоязычный шаблон.", "score": 0.61, "lang": "ru"}, {"id": "doc-de", "title": "Wochenplan
Vorlage", "url": "https://kb.example/de-weekly", "snippet": "Deutsche Checklisten-Idee.", "score": 0.59, "lang": "de"}, {"id": "doc-noise-1", "title": "General productivity", "url": "https://kb.example/noise-1", "snippet": "Time-blocking article.", "score": 0.44, "lang":
"en"}, {"id": "doc-noise-2", "title": "Meeting notes", "url": "https://kb.example/noise-2", "snippet": "Unrelated meeting summary.", "score": 0.37, "lang": "en"}, {"id": "doc-noise-3", "title": "Shopping checklist", "url": "https://kb.example/noise-3", "snippet": "Groceries
list example.", "score": 0.21, "lang": "en"}], "total": 8, "returned": 8, "error": ""}`
Assistant: Thinking...
Assistant:
<think>
<think>
The request was successful and the JSON response has been saved to search-response.json. The task is complete.
</think>
</think>
DONE
[14:35:22] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[14:35:22] [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>
The user asked me to complete a task and I did it successfully. The task was to:
1. Read search-url.txt and query.txt
2. Call the search endpoint with the specified parameters
3. Save the raw JSON response to search-response.json
I completed all of these steps successfully. The response was saved and contains the expected JSON data. I should now use the complete tool to end the session.
</think>
</think>
@complete(call_bb3yrhtl): {}
System: Task complete. Autonomous session finished.
Skipped 1 hidden system messages, show with --show-hidden
[14:35:32] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[14:35:32] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-warmup)
[gripprobe] process_finished_at=2026-05-01T14:35:32+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-01T14:34:02+00:00 [gripprobe] process_finished_at=2026-05-01T14:35:32+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-01T14:35:32+00:00
[14:35:34] Created config file at /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/runtime/gptme/measured/home/.config/gptme/config.toml
[14:35:34] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3.5:9b
Using logdir: /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/runtime/gptme/measured/state/gptme-logs/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-measured
Using workspace: /work/results/runs/20260501T141352Z/cases/gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw/workspace
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the shell tool.
Read search-url.txt and query.txt from the current workspace.
Call the search endpoint with query parameters:
- q=<urlencoded query from query.txt>
- format=json
- limit=8
Save the raw JSON response exactly as returned to search-response.json in the current workspace.
Do not transform fields and do not wrap with extra text.
If successful, reply only DONE.
If command execution fails, reply only FAIL.
````search-url.txt
http://127.0.0.1:44363/search/MpE0nroho2_v32Q4bU3gtnM-
````
````query.txt
weekly plan 229069a7f76e checkbox
````
Assistant: Thinking...
Assistant:
<think>
<think>
The user wants me to:
1. Read search-url.txt and query.txt from the current workspace
2. Call the search endpoint with the URL from search-url.txt and query parameters from query.txt
3. Save the raw JSON response to search-response.json
4. Reply only DONE if successful, or FAIL if it fails
Let me first read the files to understand their contents, then make the API call.
The search-url.txt contains: http://127.0.0.1:44363/search/MpE0nroho2_v32Q4bU3gtnM-
The query.txt contains: weekly plan 229069a7f76e checkbox
I need to make a GET request to the search endpoint with:
- q=weekly+plan+229069a7f76e+checkbox (URL encoded)
- format=json
- limit=8
Let me use curl to make this request.
</think>
</think>
@shell(call_l36i0z0u): {"command":"curl -s \"http://127.0.0.1:44363/search/MpE0nroho2_v32Q4bU3gtnM-?q=weekly+plan+229069a7f76e+checkbox\u0026format=json\u0026limit=8\" \u003e search-response.json"}
Preview
curl -s "http://127.0.0.1:44363/search/MpE0nroho2_v32Q4bU3gtnM-?q=weekly+plan+229069a7f76e+checkbox&format=json&limit=8" > search-response.json
System:
Ran command: `curl -s "http://127.0.0.1:44363/search/MpE0nroho2_v32Q4bU3gtnM-?q=weekly+plan+229069a7f76e+checkbox&format=json&limit=8" > search-response.json`
No output
Assistant: Thinking...
[14:36:04] 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:
<think>
<think>
The command ran without errors. Let me verify the file was created and contains the expected JSON response.
</think>
</think>
@shell(call_tm8cwhtw): {"command":"cat search-response.json"}
{"query": "weekly plan 229069a7f76e checkbox", "results": [{"id": "doc-intro", "title": "Markdown planning intro", "url": "https://kb.example/intro", "snippet": "Basic markdown checklist examples.", "score": 0.72, "lang": "en"}, {"id": "doc-70272934", "title": "Weekly planning with checkboxes", "url": "https://kb.example/777a2a5af519", "snippet": "Actionable template. Required token: 31d017f73285b35e.", "score": 0.97, "lang": "en"}, {"id": "doc-alt-token", "title": "Alternate planning approach", "url": "https://kb.example/alt", "snippet": "Also mentions token 31d017f73285b35e, but less relevant.", "score": 0.84, "lang": "en"}, {"id": "doc-ru", "title": "План на неделю", "url": "https://kb.example/ru-weekly", "snippet": "Русскоязычный шаблон.", "score": 0.61, "lang": "ru"}, {"id": "doc-de", "title": "Wochenplan Vorlage", "url": "https://kb.example/de-weekly", "snippet": "Deutsche Checklisten-Idee.", "score": 0.59, "lang": "de"}, {"id": "doc-noise-1", "title": "General productivity", "url": "https://kb.example/noise-1", "snippet": "Time-blocking article.", "score": 0.44, "lang": "en"}, {"id": "doc-noise-2", "title": "Meeting notes", "url": "https://kb.example/noise-2", "snippet": "Unrelated meeting summary.", "score": 0.37, "lang": "en"}, {"id": "doc-noise-3", "title": "Shopping checklist", "url": "https://kb.example/noise-3", "snippet": "Groceries list example.", "score": 0.21, "lang": "en"}], "total": 8, "returned": 8, "error": ""}System:
Ran allowlisted command: `cat search-response.json`
`{"query": "weekly plan 229069a7f76e checkbox", "results": [{"id": "doc-intro", "title": "Markdown planning intro", "url": "https://kb.example/intro", "snippet": "Basic markdown checklist examples.", "score": 0.72, "lang": "en"}, {"id": "doc-70272934", "title": "Weekly
planning with checkboxes", "url": "https://kb.example/777a2a5af519", "snippet": "Actionable template. Required token: 31d017f73285b35e.", "score": 0.97, "lang": "en"}, {"id": "doc-alt-token", "title": "Alternate planning approach", "url": "https://kb.example/alt", "snippet":
"Also mentions token 31d017f73285b35e, but less relevant.", "score": 0.84, "lang": "en"}, {"id": "doc-ru", "title": "План на неделю", "url": "https://kb.example/ru-weekly", "snippet": "Русскоязычный шаблон.", "score": 0.61, "lang": "ru"}, {"id": "doc-de", "title": "Wochenplan
Vorlage", "url": "https://kb.example/de-weekly", "snippet": "Deutsche Checklisten-Idee.", "score": 0.59, "lang": "de"}, {"id": "doc-noise-1", "title": "General productivity", "url": "https://kb.example/noise-1", "snippet": "Time-blocking article.", "score": 0.44, "lang":
"en"}, {"id": "doc-noise-2", "title": "Meeting notes", "url": "https://kb.example/noise-2", "snippet": "Unrelated meeting summary.", "score": 0.37, "lang": "en"}, {"id": "doc-noise-3", "title": "Shopping checklist", "url": "https://kb.example/noise-3", "snippet": "Groceries
list example.", "score": 0.21, "lang": "en"}], "total": 8, "returned": 8, "error": ""}`
Assistant: Thinking...
[14:36:24] INFO Reasoning content: The user wants me to create a 2-4 word title for this conversation. Looking at the conversation, it's about using a shell tool to read files and call a search endpoint. llm_openai.py:321
The main topic is about shell tool usage for file reading and API calls.
Let me create a concise title:
- "Shell tool file reading"
- "Search endpoint integration"
- "File query processing"
- "API search implementation"
I think "Shell tool file reading" or "Search endpoint integration" would work best. Let me go with something that captures the main action.
"Shell tool search task" - 3 words
"File query processing" - 3 words
"Search endpoint integration" - 3 words
I'll go with "Search endpoint integration" as it captures the main purpose.
INFO Auto-generated conversation name: Search endpoint integration chat.py:332
Assistant:
<think>
<think>
The command was successful. The JSON response was saved to search-response.json. I should reply only DONE as instructed.
</think>
</think>
DONE
[14:36:29] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[14:36:29] [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>
The user asked me to:
1. Read search-url.txt and query.txt from the current workspace
2. Call the search endpoint with query parameters
3. Save the raw JSON response to search-response.json
4. Reply only DONE if successful
I've completed all of these tasks. The command executed successfully and the response was saved. I should now use the complete tool to end the session.
</think>
</think>
@complete(call_pma0kxbg): {}
System: Task complete. Autonomous session finished.
[14:36:38] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[14:36:38] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_qwen3_5_9b__ollama__tool__web_fetch_json_raw-measured)
[gripprobe] process_finished_at=2026-05-01T14:36:39+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-01T14:35:32+00:00 [gripprobe] process_finished_at=2026-05-01T14:36:39+00:00 exit_code=0
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this, replace FROM with:
# FROM qwen3.5:9b
FROM /usr/share/ollama/.ollama/models/blobs/sha256-dec52a44569a2a25341c4e4d3fee25846eed4f6f0b936278e3a3c900bb99d37c
TEMPLATE {{ .Prompt }}
RENDERER qwen3.5
PARSER qwen3.5
PARAMETER temperature 1
PARAMETER top_k 20
PARAMETER top_p 0.95
PARAMETER presence_penalty 1.5
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