Case: 20260502T131206Z__gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw
PASS Trajectory: recovered | Invoked: yes | Match: 100%
gptme --non-interactive --no-confirm --name gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-warmup --system short --workspace /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/workspace-warmup --tools shell --tool-format tool -m local/cryptidbleh/gemma4-claude-opus-4.6:latest '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_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-measured --system short --workspace /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/workspace --tools shell --tool-format tool -m local/cryptidbleh/gemma4-claude-opus-4.6:latest '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 5dba5f9435fe checkbox", "returned": 8, "total": 8}
REQUEST_HIT=/search/RXISeTRFhhNwLQmKoH8g_Mrj
{"error": "", "query": "weekly plan 5dba5f9435fe 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-d84b67ca", "lang": "en", "score": 0.97, "snippet": "Actionable template. Required token: 2a1b2c8da64d14b6.", "title": "Weekly planning with checkboxes", "url": "https://kb.example/d78e519f4fb5"}, {"id": "doc-alt-token", "lang": "en", "score": 0.84, "snippet": "Also mentions token 2a1b2c8da64d14b6, 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 5dba5f9435fe checkbox", "returned": 8, "total": 8}
-REQUEST_HIT=/search/RXISeTRFhhNwLQmKoH8g_Mrj
+{"error": "", "query": "weekly plan 5dba5f9435fe 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-d84b67ca", "lang": "en", "score": 0.97, "snippet": "Actionable template. Required token: 2a1b2c8da64d14b6.", "title": "Weekly planning with checkboxes", "url": "https://kb.example/d78e519f4fb5"}, {"id": "doc-alt-token", "lang": "en", "score": 0.84, "snippet": "Also mentions token 2a1b2c8da64d14b6, 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=2026-05-02T13:18:25+00:00
[13:18:26] Created config file at /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/runtime/gptme/warmup/home/.config/gptme/config.toml
[13:18:26] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/cryptidbleh/gemma4-claude-opus-4.6:latest
[13:18:27] Using logdir:
/work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/runtime/gptme/warmup/state/gptme-logs/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-warmup
Using workspace: /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__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://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M
````
````query.txt
warmup query 82612e22
````
Assistant: Thinking...
Assistant:
<think>
<think>
The user wants me to perform a sequence of actions using the `shell` tool.
The steps are:
1. Read the content of `search-url.txt` and `query.txt`.
2. Use the content to call a search endpoint with specific query parameters:
- `q=<urlencoded query from query.txt>`
- `format=json`
- `limit=8`
3. Save the raw JSON response to `search-response.json`.
4. Reply only "DONE" on success, or "FAIL" on failure.
First, I need to read the files to get the necessary information.
Step 1: Read `search-url.txt` and `query.txt`. I will use `cat` for this.
Step 2: Construct the search request.
From `search-url.txt`: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M`
From `query.txt`: `warmup query 82612e22`
The URL seems to be the base URL, and the query parameters need to be appended.
The query parameter `q` should be the URL-encoded content of `query.txt`.
The full URL structure seems to be: `[search-url.txt] + [query parameters]`.
The instruction says: "Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8".
Let's assume the base URL is in `search-url.txt`.
Base URL: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M`
The query from `query.txt` is `warmup query 82612e22`. This needs to be URL-encoded for the `q` parameter.
I will use `curl` to make the request.
The full request URL will be: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M?q=<encoded_query>&format=json&limit=8`
I need to read the files first.
</think>
</think>
<thinking>
<thinking>
1. **Read input files:** I need to read the content of `search-url.txt` and `query.txt`.
2. **Extract data:**
* `search-url.txt` content: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M`
* `query.txt` content: `warmup query 82612e22`
3. **Construct the request:**
* Base URL: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M`
* Query parameters:
* `q`: URL-encoded content of `query.txt`.
* `format`: `json`
* `limit`: `8`
4. **Execute the request:** Use `curl` to make a GET request to the constructed URL.
5. **Save the response:** Save the raw JSON response to `search-response.json`.
I will use `curl` for this. I need to URL-encode the query first.
The query string is "warmup query 82612e22".
Let's construct the command.
The URL will be: `http://127.0.0.1:41981/search/GL_uxtzS0aN9rf7k2Jy4FI_M?q=warmup+query+82612e22&format=json&limit=8` (assuming standard URL encoding for spaces).
I will use the shell tool to execute this.
</thinking>
</thinking>
@shell(call_0989aj2d): {"command":"QUERY=$(cat query.txt)\nURL=$(cat search-url.txt)\n# URL encode the query string\nENCODED_QUERY=$(echo \"$QUERY\" | xargs printf \"%s\" | sed 's/ /+/g')\n# Construct the full URL\nFULL_URL=\"${URL}?q=${ENCODED_QUERY}\u0026format=json\u0026limit=8\"\n# Make the request and save the output\ncurl -s \"${FULL_URL}\" \u003e search-response.json"}
Preview
QUERY=$(cat query.txt)
URL=$(cat search-url.txt)
# URL encode the query string
ENCODED_QUERY=$(echo "$QUERY" | xargs printf "%s" | sed 's/ /+/g')
# Construct the full URL
FULL_URL="${URL}?q=${ENCODED_QUERY}&format=json&limit=8"
# Make the request and save the output
curl -s "${FULL_URL}" > search-response.json
System:
Ran command:
```bash
QUERY=$(cat query.txt)
URL=$(cat search-url.txt)
# URL encode the query string
ENCODED_QUERY=$(echo "$QUERY" | xargs printf "%s" | sed 's/ /+/g')
# Construct the full URL
FULL_URL="${URL}?q=${ENCODED_QUERY}&format=json&limit=8"
# Make the request and save the output
curl -s "${FULL_URL}" > search-response.json
```
No output
[13:18:52] 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...
Assistant:
DONE
[13:18:53] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[13:18:53] [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...
[13:18:58] INFO Reasoning content: Thinking Process: llm_openai.py:321
1. **Analyze the Request:** The user wants me to create a concise, 2-4 word title for the provided conversation.
2. **Analyze the Conversation Content:**
* User instruction: "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..."
* Assistant response: Confirms the steps taken (reading files, calling the search endpoint).
3. **Identify the Main Topic:** The core topic is using a shell command/tool to perform a search operation based on file contents.
4. **Draft Potential Titles (Focusing on conciseness):**
* Shell search task (3 words)
* Using shell tool (3 words)
* File search execution (3 words)
* Shell command execution (3 words)
5. **Select the Best Fit:** The conversation is about executing a specific task using the shell. "Shell search task" or something similar is accurate.
6. **Final Selection Check:** Meets the 2-4 word limit. Captures the main topic. (Choosing a slightly more action-oriented title).
INFO Auto-generated conversation name: Shell search task chat.py:332
Assistant:
<think>
<think>
The user has provided a follow-up message indicating that no tool call was detected in the last message and suggesting I use the `complete` tool.
Reviewing the previous turn:
The previous turn executed a `shell` command and received an output, which I processed and concluded with "DONE".
The user's current message seems to be an automated system prompt, perhaps indicating an expectation that the session should end. Since the previous task was completed successfully according to the instructions, I should now signal completion.
I will call the `complete` tool.
</think>
</think>
@complete(call_6byl4pfn): {}
System: Task complete. Autonomous session finished.
[13:19:01] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[13:19:01] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-warmup)
[gripprobe] process_finished_at=2026-05-02T13:19:01+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-02T13:18:25+00:00 [gripprobe] process_finished_at=2026-05-02T13:19:01+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-02T13:19:01+00:00
[13:19:03] Created config file at /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/runtime/gptme/measured/home/.config/gptme/config.toml
[13:19:03] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/cryptidbleh/gemma4-claude-opus-4.6:latest
[13:19:04] Using logdir:
/work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw/runtime/gptme/measured/state/gptme-logs/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-measu
red
Using workspace: /work/results/runs/20260502T131206Z/cases/gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__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://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj
````
````query.txt
weekly plan 5dba5f9435fe checkbox
````
Assistant: Thinking...
Assistant:
<think>
<think>
The user wants me to perform a sequence of actions using the `shell` tool.
The steps are:
1. Read the content of `search-url.txt` and `query.txt`.
2. Use the content of `query.txt` as the value for the `q` parameter in a search query.
3. Call a search endpoint with specific parameters:
- `q=<urlencoded query from query.txt>`
- `format=json`
- `limit=8`
4. Save the raw JSON response exactly as returned to `search-response.json`.
5. Reply only "DONE" if successful, or "FAIL" if command execution fails.
First, I need to read the files to get the necessary information.
Step 1: Read `search-url.txt` and `query.txt`. I will use `cat` for this.
Step 2: Construct the search command. The search URL is in `search-url.txt`. The query parameter `q` needs to be constructed from `query.txt`.
From `search-url.txt`: `http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj`
From `query.txt`: `weekly plan 5dba5f9435fe checkbox`
The request seems to imply making an HTTP request. I will use `curl` for this.
The full URL will be `http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=<query>&format=json&limit=8`.
I need to URL-encode the query from `query.txt`. The query is `weekly plan 5dba5f9435fe checkbox`.
I will use `curl` to make the request and save the output to `search-response.json`.
Let's construct the command.
The query string needs to be URL-encoded.
`weekly plan 5dba5f9435fe checkbox` -> `weekly+plan+5dba5f9435fe+checkbox` (assuming standard URL encoding for spaces).
The final command will look something like:
`curl "http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8" -o search-response.json`
I will execute this using the `shell` tool.
</think>
</think>
<thinking>
<thinking>
1. **Goal:** Read `search-url.txt` and `query.txt`, construct a URL with query parameters, perform a search using `curl`, and save the raw JSON response to `search-response.json`.
2. **Input files:**
* `search-url.txt`: `http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj`
* `query.txt`: `weekly plan 5dba5f9435fe checkbox`
3. **Search parameters:**
* Base URL: `http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj`
* Query parameter `q`: The content of `query.txt` needs to be URL-encoded. `weekly plan 5dba5f9435fe checkbox` should become `weekly+plan+5dba5f9435fe+checkbox`.
* Other parameters: `format=json`, `limit=8`.
4. **Output file:** `search-response.json`.
5. **Action Plan:**
* Use `curl` to execute the request and redirect output to the file.
* Construct the full URL with all parameters.
* Execute the command using the `shell` tool.
**Command Construction:**
The URL will be: `http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8`
I will execute this command now.
</thinking>
</thinking>
@shell(call_qfvh0759): {"command":"curl \"http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox\u0026format=json\u0026limit=8\" -o search-response.json"}
Preview
curl "http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8" -o search-response.json
System:
Ran command: `curl "http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8" -o search-response.json`
```stderr
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0100 1486 100 1486 0 0 1305k 0 --:--:-- --:--:-- --:--:-- 1451k
```
[13:19:28] 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...
[13:19:34] INFO Reasoning content: Thinking Process: llm_openai.py:321
1. **Analyze the Request:** The user wants me to create a concise, 2-4 word title for the provided conversation.
2. **Analyze the Conversation Content:**
* User instruction: "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..."
* Assistant response: Confirms the steps the user requested (reading files, using query content).
3. **Identify the Main Topic:** The conversation is about executing commands, reading files, and making an API call using a shell environment. It is a technical instruction/workflow.
4. **Draft Potential Titles (2-4 words):**
* Shell command execution
* File reading task
* API search workflow
* Shell tool usage
5. **Select the Best Fit:** The core action is using the shell to perform a search operation. "Shell command execution" or something similar captures the essence.
6. **Final Selection (Concise):** Shell search task. (Or similar, focusing on the action.)
INFO Auto-generated conversation name: Shell search task chat.py:332
Assistant:
DONE
[13:19:35] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[13:19:35] [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 has provided a follow-up message indicating that no tool call was detected in the last message and suggesting I use the `complete` tool.
Reviewing the previous turn:
The previous turn executed a `shell` command:
`<|tool_call>call:shell{command:<|"|>curl "http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8" -o search-response.json<|"|>}<tool_call|><|tool_response>response:unknown{value:<|"|>Ran command: `curl "http://127.0.0.1:41981/search/RXISeTRFhhNwLQmKoH8g_Mrj?q=weekly+plan+5dba5f9435fe+checkbox&format=json&limit=8" -o search-response.json`
```stderr
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0100 1486 100 1486 0 0 1305k 0 --:--:-- --:--:-- --:--:-- 1451k
```<|"|>}
The execution of the command was successful, and the output was provided. The original instruction was: "If successful, reply only DONE."
The previous response already concluded with `DONE`. The current message from the system seems to be a prompt for session completion, which I should address by using the `complete` tool if the task is fully finished.
Since the task was to execute the steps and save the file, and I have done so, I should now signal completion.
</think>
</think>
@complete(call_t9iw3yuq): {}
System: Task complete. Autonomous session finished.
[13:19:44] INFO Complete tool call detected, stopping session immediately complete.py:80
INFO Hook 'complete.complete' signaled session completion __init__.py:360
[13:19:44] Autonomous mode: Session completed via complete tool. Exiting.
Goodbye! (resume with: gptme --name gptme__local_cryptidbleh_gemma4_claude_opus_4_6_latest__ollama__tool__web_fetch_json_raw-measured)
[gripprobe] process_finished_at=2026-05-02T13:19:44+00:00 exit_code=0
[gripprobe] process_started_at=2026-05-02T13:19:01+00:00
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
100 1486 100 1486 0 0 1305k 0 --:--:-- --:--:-- --:--:-- 1451k
[gripprobe] process_finished_at=2026-05-02T13:19:44+00:00 exit_code=0
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this, replace FROM with:
# FROM cryptidbleh/gemma4-claude-opus-4.6:latest
FROM /usr/share/ollama/.ollama/models/blobs/sha256-5eda4e4d50e51a341a55b589273be150639cc5684a3472db0e4699fb0f5a3820
TEMPLATE {{ .Prompt }}
SYSTEM "
you are gemma4 e2b (2 billion effective parameters), distilled from Claude Opus 4.6.
You are a master software engineer. When coding provide concise, production-ready code.
"
RENDERER gemma4
PARSER gemma4
PARAMETER num_batch 2048
PARAMETER num_ctx 131072
PARAMETER num_gpu 99
PARAMETER stop <turn|>