Case: 20260425T105529Z__gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked
TIMEOUT Trajectory: recovered | Invoked: yes | Match: 0%
gptme --non-interactive --no-confirm --name gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked-warmup --system short --workspace /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/workspace-warmup --tools shell --tool-format tool -m local/qwen3:8b 'Use the shell tool. Read search-url.txt, query.txt, and required-token.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 The endpoint returns JSON with a results array. Select the result with the highest score among results whose snippet contains the exact required token. Write search-result.json in the current workspace as JSON with exactly these keys: - query - selected_id - selected_url - selected_score If successful, reply only DONE. If command execution fails, reply only FAIL. '
gptme --non-interactive --no-confirm --name gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked-measured --system short --workspace /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/workspace --tools shell --tool-format tool -m local/qwen3:8b 'Use the shell tool. Read search-url.txt, query.txt, and required-token.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 The endpoint returns JSON with a results array. Select the result with the highest score among results whose snippet contains the exact required token. Write search-result.json in the current workspace as JSON with exactly these keys: - query - selected_id - selected_url - selected_score If successful, reply only DONE. If command execution fails, reply only FAIL. '
Consistency: diverged
Use the shell tool. Read search-url.txt, query.txt, and required-token.txt from the current workspace. Call the search endpoint with query parameters: - q=<urlencoded query from query.txt> - format=json - limit=8 The endpoint returns JSON with a results array. Select the result with the highest score among results whose snippet contains the exact required token. Write search-result.json in the current workspace as JSON with exactly these keys: - query - selected_id - selected_url - selected_score If successful, reply only DONE. If command execution fails, reply only FAIL.
{"query": "weekly plan d003b0273aff checkbox", "selected_id": "doc-8717451a", "selected_score": 0.97, "selected_url": "https://kb.example/1dff0bb0ef11"}
REQUEST_HIT=/search/Xtl1BS0ERYqpeTaEtwglO3-Q
INVALID_OBSERVED_JSON
--- expected
+++ observed
@@ -1,2 +1 @@
-{"query": "weekly plan d003b0273aff checkbox", "selected_id": "doc-8717451a", "selected_score": 0.97, "selected_url": "https://kb.example/1dff0bb0ef11"}
-REQUEST_HIT=/search/Xtl1BS0ERYqpeTaEtwglO3-Q
+INVALID_OBSERVED_JSON
No structured session transcript found.
[gripprobe] process_started_at=2026-04-25T10:55:30+00:00
[10:55:31] Created config file at /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/runtime/gptme/warmup/home/.config/gptme/config.toml
[10:55:31] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3:8b
[10:55:32] Using logdir: /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/runtime/gptme/warmup/state/gptme-logs/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked-warmup
Using workspace: /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/workspace-warmup
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the shell tool.
Read search-url.txt, query.txt, and required-token.txt from the current workspace.
Call the search endpoint with query parameters:
- q=<urlencoded query from query.txt>
- format=json
- limit=8
The endpoint returns JSON with a results array.
Select the result with the highest score among results whose snippet contains the exact required token.
Write search-result.json in the current workspace as JSON with exactly these keys:
- query
- selected_id
- selected_url
- selected_score
If successful, reply only DONE.
If command execution fails, reply only FAIL.
````search-url.txt
http://127.0.0.1:37899/search/HdEGxkRWPTvKs4ilRwE4iHKL
````
````query.txt
warmup query 7b2e1e4a
````
````required-token.txt
2f523e0b27e92cfa
````
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let's tackle this step by step. First, I need to use the shell tool to read the three text files: search-url.txt, query.txt, and required-token.txt. These files contain the search endpoint URL, the query string, and the required token respectively.
So, I'll start by reading each file. For the query, I need to URL-encode it. The query.txt has "warmup query 7b2e1e4a", which should be encoded to something like "warmup+query+7b2e1e4a". Wait, but maybe spaces are replaced with plus signs or percent-encoded. I should use the 'curl' command's --data-urlencode option to handle that properly.
Next, I'll construct the curl command to hit the search endpoint with the parameters q, format=json, and limit=8. The URL from search-url.txt is http://127.0.0.1:37899/search/HdEGxkRWPTvKs4ilRwE4iHKL. So the full command would include that URL with the query parameters.
Once the JSON response is fetched, I need to parse it. The results array should be checked for entries where the snippet contains the exact required token from required-token.txt, which is "2f523e0b27e92cfa". I'll have to loop through the results, check each snippet, and find the one with the highest score.
After selecting the best result, I'll write the output to search-result.json with the specified keys: query, selected_id, selected_url, selected_score. If everything goes smoothly, I'll reply DONE. If any step fails, like reading the files or processing the JSON, I'll reply FAIL.
Wait, but how do I handle the URL encoding correctly? Using curl's --data-urlencode might be the way to go. Also, ensuring that the required token is exactly matched in the snippet. Maybe using jq to process the JSON and filter the results. Let me structure the command step by step.
First, read the files:
SEARCH_URL=$(cat search-url.txt)
QUERY=$(cat query.txt | curl --data-urlencode)
REQUIRED_TOKEN=$(cat required-token.txt)
Then, use curl with the parameters. But wait, the query parameter needs to be URL-encoded. So maybe:
curl "${SEARCH_URL}?q=${QUERY_ENCODED}&format=json&limit=8"
But how to encode the query? Using curl's --data-urlencode might be better. Alternatively, using python's urllib.quote, but since we're in a shell, perhaps using curl's built-in encoding.
Wait, the query is read from query.txt. Let me make sure to encode it properly. So:
QUERY=$(cat query.txt)
ENCODED_QUERY=$(echo -n "$QUERY" | curl --data-urlencode "$QUERY")
But maybe using curl's --data-urlencode directly in the command line. Alternatively, using jq to process the JSON response.
Once the JSON is fetched, I need to process it. Let's think about the JSON structure. The results array has objects with id, url, score, and snippet. So, filter the results where snippet contains the required token exactly. Then select the one with the highest score.
Using jq, perhaps:
jq '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last
But need to handle the exact match. Also, if there are no matches, maybe return an error? The problem says to write the JSON if successful, else reply FAIL. So perhaps if no matches, the output is FAIL.
Putting it all together, the shell command would be:
curl "${SEARCH_URL}?q=$(echo -n "$QUERY" | curl --data-urlencode -)" --header 'Accept: application/json' | jq '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last
Wait, but the query parameter needs to be properly encoded. Maybe using curl's --data-urlencode in the command line. Alternatively, using python's urllib.quote, but that's not available here. So using curl's built-in encoding.
But how to handle the query in the URL. Let me structure the command properly.
So, the full command would be:
SEARCH_URL=$(cat search-url.txt)
QUERY=$(cat query.txt)
ENCODED_QUERY=$(echo -n "$QUERY" | curl --data-urlencode -)
curl "${SEARCH_URL}?q=${ENCODED_QUERY}&format=json&limit=8" | jq '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last
But I need to make sure that the required token is exactly present in the snippet. The contains function in jq checks for substring, so if the token is part of the snippet, it would match. However, the problem says "exact required token", so maybe it's better to check if the snippet is exactly equal to the required token. Wait, the problem says "snippet contains the exact required token". So the snippet must include the exact token as a substring. So the contains approach is correct.
Once the best result is selected, then construct the JSON output with the query, selected_id, selected_url, selected_score.
So, the final command would capture the query, the selected id, url, and score, and write them to search-result.json.
But how to handle the output. Let me think. The jq command would output the selected result. Then, we can extract the fields and write them to the JSON file.
Putting all together, the shell command would be:
SEARCH_URL=$(cat search-url.txt)
QUERY=$(cat query.txt)
REQUIRED_TOKEN=$(cat required-token.txt)
ENCODED_QUERY=$(echo -n "$QUERY" | curl --data-urlencode -)
curl "${SEARCH_URL}?q=${ENCODED_QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last | jq -r '.id as $id | .url as $url | .score as $score | {query: "'"$QUERY"'", selected_id: $id, selected_url: $url, selected_score: $score}'
Wait, but the jq command might not be available. The user's environment might have it. Assuming it's available.
But the problem says to write search-result.json with exactly those keys. So the final JSON should have query, selected_id, selected_url, selected_score.
So, the shell command would be:
curl "${SEARCH_URL}?q=$(echo -n "$QUERY" | curl --data-urlencode -)&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last | jq -r '.id as $id | .url as $url | .score as $score | {query: "'"$QUERY"'", selected_id: $id, selected_url: $url, selected_score: $score}' > search-result.json
But I need to make sure that the required token is exactly present. Also, if there are no matches, the command would fail, leading to FAIL.
Putting all these steps into the shell command. Also, handling the URL encoding properly.
So, the final shell command would be:
SEARCH_URL=$(cat search-url.txt)
QUERY=$(cat query.txt)
REQUIRED_TOKEN=$(cat required-token.txt)
ENCODED_QUERY=$(echo -n "$QUERY" | curl --data-urlencode -)
curl "${SEARCH_URL}?q=${ENCODED_QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}' | sort_by(.score) | last | jq -r '.id as $id | .url as $url | .score as $score | {query: "'"$QUERY"'", selected_id: $id, selected_url: $url, selected_score: $score}' > search-result.json
But I need to check if the jq commands are correct. Also, the initial curl command might need to have the correct headers. The endpoint might require certain headers, but the problem doesn't specify, so assuming it's okay.
If any step fails, like reading the files or processing the JSON, the command would fail, leading to a reply of FAIL.
So, the shell command is constructed as above. Now, I need to make sure that all variables are correctly substituted and that the commands are properly formatted.
</think>
</think>
@shell(call_uyxaqp29): {"command":"SEARCH_URL=$(cat search-url.txt); QUERY=$(cat query.txt); REQUIRED_TOKEN=$(cat required-token.txt); ENCODED_QUERY=$(echo -n \"$QUERY\" | curl --data-urlencode -); curl \"${SEARCH_URL}?q=${ENCODED_QUERY}\u0026format=json\u0026limit=8\" | jq -r '.results[] | select(.snippet | contains(\"'$REQUIRED_TOKEN'\")) | {id, url, score}' | sort_by(.score) | last | jq -r '.id as $id | .url as $url | .score as $score | {query: \"'$QUERY'\", selected_id: $id, selected_url: $url, selected_score: $score}' \u003e search-result.json"}
Preview
SEARCH_URL=$(cat search-url.txt); QUERY=$(cat query.txt); REQUIRED_TOKEN=$(cat required-token.txt); ENCODED_QUERY=$(echo -n "$QUERY" | curl --data-urlencode -); curl "${SEARCH_URL}?q=${ENCODED_QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("'$REQ
System: ❌
Error during execution: Shell error: Shell syntax error: unexpected token '.score' (position 322)
Please fix the syntax or use a different approach.
[10:56:49] 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...
[10:57:08] INFO Reasoning content: Okay, let's see. The user wants a concise title for the conversation. The main topic here is using the shell tool to read specific files and make a search endpoint call. The example titles are all about 2-4 words, so I llm_openai.py:321
need to capture the essence without being too wordy.
First, the key elements are the shell tool, reading the files, and the search endpoint. But the examples given are more about the task or problem, like "Python debugging help" or "API integration guide". So maybe focus on the action or
the task.
The user mentioned using the shell tool, so maybe "Shell Tool Task" or "Shell Script Task". But the assistant's response in the example was "Shell Tool Task". Wait, the user's conversation is about using the shell tool to read files and
make an API call. The main action here is executing a shell command to perform the search.
Looking at the examples again, "API integration guide" is about integrating an API. Here, the task is to use the shell tool to make a search request. So maybe "Shell Search Task" or "Search API Call". But the example "API integration
guide" is more about the integration process.
Alternatively, since the user is using the shell tool to read files and make a request, maybe "Shell API Request" or "Shell Search Query". But the example "CSS layout issue" is about a problem, while here it's a task.
Wait, the user's instruction is to create a title that captures the main topic. The main topic here is using the shell tool to perform a search via an API. So maybe "Shell Search API" or "Shell API Search". But the examples have titles
like "Python debugging help" which is a problem, and "Website creation task" which is a task.
The user's example titles are often verbs or nouns that indicate the task. So "Shell Tool Task" is one example. Another could be "Search API Call" or "Shell Search Task". But the user's example for a similar scenario was "Shell Tool
Task".
Alternatively, since the user is reading files and making a search request, maybe "Search Request Task" or "Shell Search Task". But the example given by the user in the problem statement was "Shell Tool Task". So maybe the best fit here
is "Shell Tool Task" as well. But wait, the user's own example was "Shell Tool Task", but the actual conversation is about using the shell tool to make a search request.
Hmm, maybe "Search API Task" or "Shell Search Task". But the user's example for a similar scenario was "Shell Tool Task". So perhaps the title should be "Shell Search Task" to capture the action of using the shell tool for a search.
Alternatively, "Search API Call" if focusing on the API aspect.
But the user's examples include "API integration guide" which is about integrating an API. Here, the task is to use the shell tool to make a search request. So maybe "Shell Search Task" is the best fit. Alternatively, "Shell API Search".
Wait, the user's example for a similar scenario was "Shell Tool Task". So maybe the answer here is "Shell Tool Task" again. But the actual conversation is about using the shell tool to perform a search. So perhaps "Shell Search Task" is
more accurate.
But the user's example had "Shell Tool Task" as a title. Maybe the key is to capture the main action. Since the user is using the shell tool to read files and make a search request, the main topic is the shell tool's usage for a search
task. So "Shell Search Task" would be appropriate.
Alternatively, "Search API Task" if focusing on the API part. But the user's example for a similar scenario was "Shell Tool Task", so maybe that's the intended answer here. However, the actual task is more specific.
I think the best title would be "Shell Search Task" to capture the use of the shell tool for a search-related task. That's concise and fits the 2-4 word rule.
INFO Auto-generated conversation name: Shell Search Task chat.py:332
Assistant:
<think>
<think>
Okay, let's see. The user tried to run a shell command but got a syntax error related to '.score'. Hmm, the error message says there's an unexpected token at position 322. Let me look at the command they used.
The original command used jq to process the JSON. The problem might be with how the jq commands are structured. Let me break down the command step by step.
First, they read the SEARCH_URL, QUERY, and REQUIRED_TOKEN from their respective files. Then, they encoded the query using curl's --data-urlencode. Then, they made a curl request to the search endpoint with the encoded query, format=json, and limit=8.
Next, they used jq to filter the results. The initial jq command was: '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score}'. Then they tried to sort by score and get the last one. But then they tried to use another jq command to format the output, which might have caused the syntax error.
Wait, maybe the issue is that they used multiple jq commands in the same pipeline without proper separation. Let me check the syntax. The first jq command filters the results, then sorts by score and takes the last one. Then, they tried to use another jq to format the output. But perhaps the way they chained the jq commands was incorrect.
Alternatively, maybe the problem is with how the variables are interpolated. Let me think about the correct way to structure the jq commands. The user might have missed some quotes or used incorrect syntax in the jq filter.
Another possibility is that the shell is interpreting the jq commands incorrectly because of the way variables are expanded. For example, if the REQUIRED_TOKEN is not properly quoted, it could cause issues with the contains filter.
Wait, the user's command had: contains("'"$REQUIRED_TOKEN"'") which should correctly insert the token into the jq filter. But maybe the shell is expanding the variables incorrectly. Let me check the variable substitution.
Also, the final part of the command tried to use jq again to format the output. Maybe that's where the syntax error occurred. The line after sorting by score and taking the last result, they used another jq command to extract the fields and format the JSON. But perhaps the syntax for that part was incorrect.
Let me restructure the command. Instead of using multiple jq commands, maybe combine them into a single jq command. For example:
curl ... | jq -r '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'")) | {id, url, score} | sort_by(.score) | last | {query: "'"$QUERY"'", selected_id: .id, selected_url: .url, selected_score: .score}'
Wait, but the user's original command had two separate jq commands. Maybe the second jq was not properly formatted. Let me check the syntax for the second jq. The user wrote:
| jq -r '.id as $id | .url as $url | .score as $score | {query: "'"$QUERY"'", selected_id: $id, selected_url: $url, selected_score: $score}'
But the 'as' assignments in jq require the variables to be used in the subsequent part. However, the way the user structured it might have caused a syntax error. Maybe the correct approach is to use a single jq command that does all the processing.
Alternatively, perhaps the user should use a single jq command that filters, sorts, and formats the output. Let me try to restructure the entire command to avoid multiple jq invocations and ensure proper syntax.
Also, the error message mentions an unexpected token '.score', which might be due to incorrect placement of the sort_by and last commands. Let me make sure that the jq pipeline is correctly ordered.
Another thing to consider is that the initial jq command might not be correctly capturing the necessary fields. For example, the first jq command selects the results with the required token and outputs {id, url, score}, then sorts by score and takes the last one. Then, the second jq command should take that result and format it into the desired JSON structure.
But perhaps the second jq command
[gripprobe] process_finished_at=2026-04-25T10:57:30+00:00 exit_code=124 timeout=true
[gripprobe] process_started_at=2026-04-25T10:55:30+00:00 [gripprobe] process_finished_at=2026-04-25T10:57:30+00:00 exit_code=124 timeout=true
[gripprobe] process_started_at=2026-04-25T10:57:30+00:00
[10:57:31] Created config file at /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/runtime/gptme/measured/home/.config/gptme/config.toml
[10:57:31] WARNING Skipping all confirmation prompts. cli.py:265
Using model: local/qwen3:8b
Using logdir: /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/runtime/gptme/measured/state/gptme-logs/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked-measured
Using workspace: /work/results/runs/20260425T105529Z/cases/gptme__local_qwen3_8b__ollama__tool__web_search_json_ranked/workspace
Skipped 2 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Use the shell tool.
Read search-url.txt, query.txt, and required-token.txt from the current workspace.
Call the search endpoint with query parameters:
- q=<urlencoded query from query.txt>
- format=json
- limit=8
The endpoint returns JSON with a results array.
Select the result with the highest score among results whose snippet contains the exact required token.
Write search-result.json in the current workspace as JSON with exactly these keys:
- query
- selected_id
- selected_url
- selected_score
If successful, reply only DONE.
If command execution fails, reply only FAIL.
````search-url.txt
http://127.0.0.1:37899/search/Xtl1BS0ERYqpeTaEtwglO3-Q
````
````query.txt
weekly plan d003b0273aff checkbox
````
````required-token.txt
2f523e0b27e92cfa
````
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let's tackle this step by step. First, I need to use the shell tool to read the three text files: search-url.txt, query.txt, and required-token.txt. These files contain the search endpoint URL, the query string, and the required token respectively.
So, I'll start by reading each file. For the query, I need to encode it properly. The shell command to read a file is cat, so I can use that. But wait, the query needs to be URL-encoded. Maybe I can use the urlencode command from the shellutils package or something similar. But if that's not available, I might need to use Python's urllib.parse.quote function. Let me check if urlencode is available. If not, I'll have to use Python.
Next, construct the curl command to hit the search endpoint with the parameters q, format=json, and limit=8. The URL from search-url.txt is http://127.0.0.1:37899/search/Xtl1BS0ERYqpeTaEtwglO3-Q. So the full URL would be that base URL plus the query parameters. Wait, no—the search endpoint's URL is given in search-url.txt, and the parameters are added to it. So the full URL would be the base URL from the file, then append ?q=encoded_query&format=json&limit=8.
Once the curl command is executed, it will return JSON with a results array. Now, I need to process this JSON to find the result with the highest score where the snippet contains the exact required token. The required token is from required-token.txt, which is 2f523e0b27e92cfa. So I'll need to parse the JSON, iterate through the results, check each snippet for the exact token, and track the highest score among those.
If there are no such results, maybe the output should be an error, but the problem says to write search-result.json only if successful. So assuming there's at least one match.
Once the selected result is found, write the search-result.json with the query, selected_id, selected_url, and selected_score. The keys must be exactly as specified.
Potential issues: URL encoding the query correctly. If the query.txt has spaces or special characters, they need to be properly encoded. Also, ensuring that the required token is exactly matched in the snippet. Maybe using grep with exact match, but since the snippet is part of the JSON, perhaps using jq to filter.
Let me outline the steps:
1. Read the search URL from search-url.txt.
2. Read the query from query.txt and URL-encode it.
3. Read the required token from required-token.txt.
4. Use curl to send a GET request to the search URL with the parameters.
5. Parse the JSON response.
6. Filter results where snippet contains the exact required token.
7. Among those, select the one with the highest score.
8. Write the selected data into search-result.json.
Now, implementing this in shell commands. For URL encoding, maybe using python -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt. But if Python isn't available, that's a problem. Alternatively, using a tool like urlencode, but I'm not sure if it's installed. Assuming Python is available.
So, the curl command would be something like:
curl "${SEARCH_URL}?q=${ENCODED_QUERY}&format=json&limit=8"
Then, process the JSON. Using jq to parse and filter. For example:
jq '.results[] | select(.snippet | contains("'"$REQUIRED_TOKEN"'"))' | then select the one with the highest score.
But how to handle that in shell. Maybe using a combination of jq and sort.
Putting it all together, the shell commands would be:
Read the files:
SEARCH_URL=$(cat search-url.txt)
QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt)
REQUIRED_TOKEN=$(cat required-token.txt)
Then, curl the endpoint:
curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq .
Then process the JSON. But how to handle the filtering and selection. Maybe:
results=$(curl ... | jq '.results')
Then, filter each result where snippet contains the required token. For each result, check if the snippet has the exact token. Then, among those, select the one with the highest score.
But in shell, this might be complex. Alternatively, using a script to process the JSON.
Alternatively, using a combination of jq and shell variables.
Once the selected result is found, extract the id, url, and score, then write to search-result.json.
If any step fails, the output should be FAIL. Otherwise, DONE.
Now, considering possible errors: if any of the files are missing, or the curl command fails, or the JSON parsing fails, then the output is FAIL.
So, the shell commands would need to handle these steps, and if any step fails, return FAIL. Otherwise, write the JSON file and reply DONE.
</think>
</think>
@shell(call_xtwtn5zr): {"command":"SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c \"import urllib.parse; print(urllib.parse.quote(input()))\" \u003c query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl \"${SEARCH_URL}?q=${QUERY}\u0026format=json\u0026limit=8\" | jq -r '.results[] | select(.snippet | contains(\"${REQUIRED_TOKEN}\")) | {id: .id, url: .url, score: .score}' | sort -t$'\\n' -k3,3nr | head -n1 | tee search-result.json \u0026\u0026 echo DONE || echo FAIL"}
Preview
SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("${REQUI
DONE
System:
Ran command: `SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet |
contains("${REQUIRED_TOKEN}")) | {id: .id, url: .url, score: .score}' | sort -t$'\n' -k3,3nr | head -n1 | tee search-result.json && echo DONE || echo FAIL`
`DONE`
```stderr
bash: line 23: jq: command not found
% 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 1429k 0 --:--:-- --:--:-- --:--:-- 1451k
curl: Failed writing body
```
[10:58:03] 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...
[10:58:22] INFO Reasoning content: Okay, let's see. The user wants a concise title for the conversation. The main topic here is using the shell tool to read specific files and make a search endpoint call. The example titles are all about 2-4 words, so I llm_openai.py:321
need to capture the essence without being too wordy.
First, the key elements are the shell tool, reading the files, and the search endpoint. But the examples given are more about the task or problem, like "Python debugging help" or "API integration guide". So maybe focus on the action or
the task.
The user mentioned using the shell tool, so maybe "Shell Tool Task" or "Shell Script Task". But the assistant's response in the example was "Shell Tool Task". Wait, the user's conversation is about using the shell tool to read files and
make an API call. The main action here is executing a shell command to perform the search.
Looking at the examples again, "API integration guide" is about integrating an API. Here, the task is to use the shell tool to make a search request. So maybe "Shell Search Task" or "Search API Call". But the example "API integration
guide" is more about the integration process.
Alternatively, since the user is using the shell tool to read files and make a request, maybe "Shell API Request" or "Shell Search Query". But the example "CSS layout issue" is about a problem, while here it's a task.
Wait, the user's instruction is to create a title that captures the main topic. The main topic here is using the shell tool to perform a search via an API. So maybe "Shell Search API" or "Shell API Search". But the examples have titles
like "Python debugging help" which is a problem, and "Website creation task" which is a task.
The user's example titles are often verbs or nouns that indicate the task. So "Shell Tool Task" is one example. Another could be "Search API Call" or "Shell Search Task". But the user's example for a similar scenario was "Shell Tool
Task".
Alternatively, since the user is reading files and making a search request, maybe "Search Request Task" or "Shell Search Task". But the example given by the user in the problem statement was "Shell Tool Task". So maybe the best fit here
is "Shell Tool Task" as well. But wait, the user's own example was "Shell Tool Task", but the actual conversation is about using the shell tool to make a search request.
Hmm, maybe "Search API Task" or "Shell Search Task". But the user's example for a similar scenario was "Shell Tool Task". So perhaps the title should be "Shell Search Task" to capture the action of using the shell tool for a search.
Alternatively, "Search API Call" if focusing on the API aspect.
But the user's examples include "API integration guide" which is about integrating an API. Here, the task is to use the shell tool to make a search request. So maybe "Shell Search Task" is the best fit. Alternatively, "Shell API Search".
Wait, the user's example for a similar scenario was "Shell Tool Task". So maybe the answer here is "Shell Tool Task" again. But the actual conversation is about using the shell tool to perform a search. So perhaps "Shell Search Task" is
more accurate.
But the user's example had "Shell Tool Task" as a title. Maybe the key is to capture the main action. Since the user is using the shell tool to read files and make a search request, the main topic is the shell tool's usage for a search
task. So "Shell Search Task" would be appropriate.
Alternatively, "Search API Task" if focusing on the API part. But the user's example for a similar scenario was "Shell Tool Task", so maybe that's the intended answer here. However, the actual task is more specific.
I think the best title would be "Shell Search Task" to capture the use of the shell tool for a search-related task. That's concise and fits the 2-4 word rule.
INFO Auto-generated conversation name: Shell Search Task chat.py:332
Assistant:
<think>
<think>
Okay, let's see. The user tried to run a command that uses jq, but the system doesn't have jq installed. That's why the error says "jq: command not found". So the first step is to install jq. But how?
Wait, the tools available include shell, so I can use apt-get to install jq. Let me check if apt-get is available. The user mentioned that programs like apt-get and git are available. So I can run apt-get install -y jq to install it.
But wait, the user's environment might not have jq installed. So the initial command failed because jq wasn't found. So the solution is to install jq first. Let me adjust the command to first install jq, then proceed.
But the user's previous command tried to use jq in the same line. So maybe the correct approach is to split the steps: first install jq, then run the curl and jq processing. However, the user's initial command was a single line. Let me think.
Alternatively, maybe the user's system doesn't have jq, so the first step is to install it. So the correct approach is to first install jq using apt-get, then re-run the original command. But since the user's previous attempt failed, I need to handle that.
Wait, the user's output shows that the command failed because jq wasn't found. So the correct action is to install jq first. Let me check if apt-get is available. The user's tools include apt-get, so I can use that.
So the plan is: install jq, then re-run the command. But how to do that in the shell. Let me structure the command to first install jq, then proceed. However, the user's original command was a single line. So perhaps the correct approach is to split into multiple steps.
But the user's previous attempt was a single line. So maybe the correct way is to first install jq, then run the command again. But since the user's environment is a shell, I can chain the commands.
Wait, the user's initial command was:
SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("${REQUIRED_TOKEN}")) | {id: .id, url: .url, score: .score}' | sort -t$'[/dim]n' -k3,3nr | head -n1 | tee search-result.json && echo DONE || echo FAIL
But this failed because jq wasn't installed. So the solution is to install jq first. So the corrected command should first install jq, then proceed. However, the user's environment might not have internet access, but assuming it's allowed.
So the corrected command would be:
sudo apt-get install -y jq && SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r '.results[] | select(.snippet | contains("${REQUIRED_TOKEN}")) | {id: .id, url: .url, score: .score}' | sort -t$'[/dim]n' -k3,3nr | head -n1 | tee search-result.json && echo DONE || echo FAIL
But wait, the user might not have sudo access. Alternatively, maybe the system has jq installed by default. But the error indicates it's not. So the first step is to install jq.
But the user's previous attempt didn't include that. So the correct approach is to first install jq, then run the command again. However, the user's environment might not allow that, but given the tools available, it's possible.
So the next step is to install jq using apt-get, then re-run the command. Let me structure the command accordingly.
</think>
</think>
@shell(call_j34b00ts): {"command":"sudo apt-get install -y jq \u0026\u0026 SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c \"import urllib.parse; print(urllib.parse.quote(input()))\" \u003c query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl \"${SEARCH_URL}?q=${QUERY}\u0026format=json\u0026limit=8\" | jq -r '.results[] | select(.snippet | contains(\"${REQUIRED_TOKEN}\")) | {id: .id, url: .url, score: .score}' | sort -t$'\\n' -k3,3nr | head -n1 | tee search-result.json \u0026\u0026 echo DONE || echo FAIL"}
Preview
sudo apt-get install -y jq && SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r '.results[] | selec
DONE
System:
Ran command: `sudo apt-get install -y jq && SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | jq -r
'.results[] | select(.snippet | contains("${REQUIRED_TOKEN}")) | {id: .id, url: .url, score: .score}' | sort -t$'\n' -k3,3nr | head -n1 | tee search-result.json && echo DONE || echo FAIL`
`DONE`
```stderr
bash: line 26: sudo: command not found
bash: line 26: jq: command not found
% 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 1221k 0 --:--:-- --:--:-- --:--:-- 1451k
curl: Failed writing body
```
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let's see. The user tried to install jq using sudo apt-get, but the system doesn't have sudo or apt-get. The error messages indicate that both sudo and jq are not found. So the initial approach was wrong because those tools aren't available here.
Hmm, the user's environment might not have a package manager like apt-get, or sudo access. So installing jq via apt isn't possible. Need another way to handle this.
Wait, maybe the user can use Python's urllib.parse to encode the query. The previous attempt used python3 for encoding, but maybe that's not the issue. The main problem is the missing jq.
Alternatively, perhaps the user can process the JSON without jq. Let me think. The curl command returns JSON, and we need to parse it to find the result with the highest score where the snippet contains the exact required token.
But without jq, parsing JSON in shell is tricky. Maybe using sed or grep? But that's error-prone. Alternatively, use Python to process the JSON.
Wait, the user's initial command used python3 to encode the query. Maybe they have Python available. So perhaps the solution is to use Python to handle both encoding and parsing the JSON.
Let me outline the steps again:
1. Read the search URL, query, and required token from the files.
2. Encode the query using Python's urllib.parse.quote.
3. Make the curl request to the search endpoint.
4. Parse the JSON response in Python to find the result with the highest score where the snippet contains the exact required token.
5. Write the selected result to search-result.json.
So, instead of using jq, use Python's json module to process the JSON. That way, we avoid relying on jq and sudo.
Let me structure the command using Python for parsing. The curl command will output the JSON, then we can use Python to process it.
So the command would be:
curl ... | python3 -c "import sys, json; data = json.load(sys.stdin); results = data['results']; filtered = [r for r in results if r['snippet'].find('${REQUIRED_TOKEN}') != -1]; if filtered: filtered.sort(key=lambda x: x['score'], reverse=True); best = filtered[0]; print(f'{{[/dim]"id[/dim]": [/dim]"{best["id[/dim]"]}[/dim]", [/dim]"url[/dim]": [/dim]"{best["url[/dim]"]}[/dim]", [/dim]"score[/dim]": {best["score"]}}}')"
But need to make sure that the variables are properly substituted. Also, handle cases where no results match.
This approach avoids using jq and sudo, relying instead on Python, which the user might have available.
So the corrected command would replace the jq part with Python processing. Let me adjust the command accordingly.
</think>
</think>
</think>
</think>
I'll use Python to handle JSON parsing and filtering instead of relying on `jq` or `sudo`. Here's the corrected command:
```bash
SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote(input()))" < query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl "${SEARCH_URL}?q=${QUERY}&format=json&limit=8" | python3 -c "import sys, json; data = json.load(sys.stdin); results = data['results']; filtered = [r for r in results if r['snippet'].find('${REQUIRED_TOKEN}') != -1]; if filtered: filtered.sort(key=lambda x: x['score'], reverse=True); best = filtered[0]; print(f'{{\"id\": \"{best[\"id\"]}\", \"url\": \"{best[\"url\"]}\", \"score\": {best[\"score\"]}}}') | tee search-result.json && echo DONE || echo FAIL
```
This approach:
1. Uses Python for URL encoding
2. Uses Python's `json` module to parse the response
3. Filters results containing the required token
4. Sorts by score and selects the best match
5. Writes the result to `search-result.json`
Let me execute this command.
[10:59:07] INFO Auto-reply: Assistant message had no tools. Asking for confirmation... complete.py:138
[10:59:07] [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 is trying to perform a search using a specific URL, query, and required token. They've already tried using the shell tool with some commands, but there were errors related to missing tools like `jq` and `sudo`.
First, the initial attempt used `jq` for JSON processing, but that failed because `jq` wasn't installed. Then, the user tried installing `jq` via `sudo apt-get`, but that also failed since `sudo` wasn't available. So, the assistant decided to switch to using Python for JSON handling instead of relying on external tools.
The next step was to use Python to parse the JSON response from the curl command. The assistant constructed a Python command that would filter the results based on the required token, sort them by score, and then output the best result. However, the user's last message indicated that no tool call was detected, and they're asking if the assistant meant to finish.
Wait, the assistant's last message was a Python command, but in the context of the tools provided, the assistant should be using the shell tool to execute commands. However, the user's system might not have `sudo` or `jq`, so using Python is a better approach. The assistant's final command should be executed via the shell tool, but the user's environment might not support certain commands.
But the user's last message says there's no tool call detected, which suggests that the assistant might have tried to execute the Python command directly without using the shell tool. However, in the previous attempts, the assistant used the shell tool correctly. Maybe the assistant needs to make sure that the Python command is properly formatted as a shell command.
Wait, looking back, the assistant's last message included a Python command inside a shell command. The user's system might not have Python installed, but the initial attempts used `python3`, which is likely available. The key is to ensure that the Python code correctly processes the JSON and writes the result to the file.
The assistant's final command should be executed via the shell tool, so the correct approach is to use the shell tool to run the Python script. However, the user's last message indicates that the assistant didn't make a tool call, which might be because the assistant tried to execute the command directly without using the shell tool.
In the previous attempts, the assistant used the shell tool correctly, so the final step should be to use the shell tool again with the Python command. The assistant should make sure that the Python code is properly formatted and that all necessary commands are included. The final answer should be "DONE" if successful, or "FAIL" if there's an error. Since the user's last message didn't show an error, but the assistant's final command was a Python script, the correct response would be to use the shell tool to execute that command and then reply with "DONE".
</think>
</think>
@shell(call_g0duc459): {"command":"SEARCH_URL=$(cat search-url.txt); QUERY=$(python3 -c \"import urllib.parse; print(urllib.parse.quote(input()))\" \u003c query.txt); REQUIRED_TOKEN=$(cat required-token.txt); curl \"${SEARCH_URL}?q=${QUERY}\u0026format=json\u0026limit=8\" | python3 -c \"import sys, json; data = json.load(sys.stdin); results = data['results']; filtered = [r for r in results if r['snippet'].find('${REQUIRED_TOKEN}') != -1]; if filtered: filtered.sort(key=lambda x: x['score'], reverse=True); best = filtered[0]; print(f'{{\"id\": \"{best[\"id\"]}\", \"url\": \"{best[\"url\"]}\", \"score\": {best[\"score\"]}}}')\" | tee search-result.json \u0026\u0026 echo DONE || echo FAIL"}
System:
Command denied: `| python3 `
Piping to shell interpreters or script execution is blocked. This pattern can execute arbitrary code and is a security risk.
Skipped 1 hidden system messages, show with --show-hidden
Assistant: Thinking...
Assistant:
<think>
<think>
Okay, let me try to figure out how to solve this problem without using the shell tool. The user wants to call a search endpoint with specific parameters and process the JSON response. The previous attempts tried using `jq` and `sudo`, which aren't available. Now, the assistant is blocked from using shell interpreters or script execution.
Hmm, maybe I can use Python's `requests` library to handle the HTTP request and JSON processing. But wait, the user's environment might not have `requests` installed. Alternatively, I can use the
[gripprobe] process_finished_at=2026-04-25T10:59:30+00:00 exit_code=124 timeout=true
[gripprobe] process_started_at=2026-04-25T10:57:30+00:00
bash: line 23: jq: command not found
% 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 1429k 0 --:--:-- --:--:-- --:--:-- 1451k
curl: Failed writing body
bash: line 26: sudo: command not found
bash: line 26: jq: command not found
% 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 1221k 0 --:--:-- --:--:-- --:--:-- 1451k
curl: Failed writing body
[gripprobe] process_finished_at=2026-04-25T10:59:30+00:00 exit_code=124 timeout=true
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this, replace FROM with:
# FROM qwen3:8b
FROM /usr/share/ollama/.ollama/models/blobs/sha256-a3de86cd1c132c822487ededd47a324c50491393e6565cd14bafa40d0b8e686f
TEMPLATE """
{{- $lastUserIdx := -1 -}}
{{- range $idx, $msg := .Messages -}}
{{- if eq $msg.Role "user" }}{{ $lastUserIdx = $idx }}{{ end -}}
{{- end }}
{{- if or .System .Tools }}<|im_start|>system
{{ if .System }}
{{ .System }}
{{- end }}
{{- if .Tools }}
# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools> XML tags:
<tools>
{{- range .Tools }}
{"type": "function", "function": {{ .Function }}}
{{- end }}
</tools>
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
<tool_call>
{"name": <function-name>, "arguments": <args-json-object>}
</tool_call>
{{- end -}}
<|im_end|>
{{ end }}
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}
{{- if and $.IsThinkSet (eq $i $lastUserIdx) }}
{{- if $.Think -}}
{{- " "}}/think
{{- else -}}
{{- " "}}/no_think
{{- end -}}
{{- end }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if (and $.IsThinkSet (and .Thinking (or $last (gt $i $lastUserIdx)))) -}}
<think>{{ .Thinking }}</think>
{{ end -}}
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{ end }}</tool_call>
{{- end }}{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
<tool_response>
{{ .Content }}
</tool_response><|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ if and $.IsThinkSet (not $.Think) -}}
<think>
</think>
{{ end -}}
{{ end }}
{{- end }}"""
PARAMETER top_p 0.95
PARAMETER repeat_penalty 1
PARAMETER stop <|im_start|>
PARAMETER stop <|im_end|>
PARAMETER temperature 0.6
PARAMETER top_k 20
LICENSE """ Apache License
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