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value | date stringdate 2026-04-03 08:06:02 2026-04-03 13:32:04 | task stringlengths 26 62 | episode stringclasses 1
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values | instruction stringlengths 2.98k 7.14k | verifier_output stringlengths 0 2.28M |
|---|---|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** handler tests: ensure events emiited\nFixes #664\n\n\n**Summary from Previous Agent:**\nThe user wants me to provide a comprehensive summary of what I've accomplished so far on the task \"handler tests: ensure eve... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:05:32.483946Z | rebench-v2__ovrclk__akash-673 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__ovrclk__akash-673__RKtzsw6 | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch events/publish_test.go...
Checking patch testutil/event.go...
error: while searching for:
sdk "github.com/cosmos/cosmos-sdk/types"
"github.com/ovrclk/akash/sdkutil"
dtypes "github.com/ovrclk/akash/x/deployment/types"
"github.com/stretchr/testify/require"
)
error: patch failed: testutil/event.go:6
e... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##95 Extend DimmingActuator and SwitchActuator with \"forced\" possibility\nThe device-classes `DimmingActuator` and `SwitchActuator` have the input-datapoint `AL_FORCED` and the output-datapoint `AL_INFO_FORCE`. ... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:52:47.037568Z | openswe__kingsleyadam__local-abbfreeathome-97 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__kingsleyadam__local-abb__kGRtp5F | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/test_dimming_actuator.py...
error: while searching for:
)
assert dimming_actuator.brightness == 75
# Check output that does NOT affect the state,
# ensure state, brightness are unchanged.
dimming_actuator._refresh_state_from_output(
output={"pairingID": 257, "value": "0... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # [Feature Request] Improve Tree Serializers: Add `ns_map` support, indentation, and consolidate implementations\n\n## Description\nI have been using the tree serializers (`LxmlTreeSerializer` and `XmlTreeSerializ... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:59:55.169204Z | scale-swe__tefra_xsdata_pr1032 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__tefra_xsdata_pr1032__civ73C5 | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | [31mF[0m[31mF[0m[31m [100%][0m
=================================== FAILURES ===================================
[31m[1m______________________________ test_indent_works _______________________________[0m
[1m[31mtest_fail_to_pass.py[0m:25: ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##46 Explicitly specify whether or not to launch the RequestResponed event (controller handler and improved documentation.\n\nNow, when you want a controller to send an event RequestResponded if don't now the inte... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:29:20.927614Z | openswe__alice-biometrics__petisco-49 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__alice-biometrics__petis__XGFDodW | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/integration/flask_app/toy_app/application/controllers/create_user_controller.py...
Checking patch tests/unit/controller/test_controller_handler.py...
Checking patch tests/unit/controller/test_controller_handler_signature_inputs.py...
Checking patch tests/unit/events/test_event_config.py...
Checking... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Increment nested message index for synthetic map messages\nFixes #372, which is the root cause of https://github.com/googleapis/api-linter/issues/714.\n\n\n**Summary from Previous Agent:**\nThe user is asking me t... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:32:05.353985Z | rebench-v2__jhump__protoreflect-373 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__jhump__protoreflect-__6c7HV8L | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch desc/protoparse/test-source-info.txt...
error: while searching for:
desc_test_complex.proto:31:79
> message_type[1] > nested_type[0]:
desc_test_complex.proto:33:9
desc_test_complex.proto:58:10
> message_type[1] > nested_type[0] > name:
desc_test_complex.proto:33:17
desc_test_complex.proto:33:23
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** If the JSON is too nested, an OutOfMemory exception will be thrown.\n\nCloses https://github.com/apollographql/apollo-kotlin/issues/5159\n\n\n**Summary from Previous Agent:**\nThe user is asking me to provide a co... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.136638Z | rebench-v2__apollographql__apollo-kotlin-5161 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__apollographql__apoll__boZH9AT | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch libraries/apollo-api/src/commonTest/kotlin/test/JsonTest.kt...
Applied patch libraries/apollo-api/src/commonTest/kotlin/test/JsonTest.kt cleanly.
Picked up _JAVA_OPTIONS: -Djava.net.preferIPv6Addresses=true
Downloading https://services.gradle.org/distributions/gradle-8.3-rc-3-bin.zip
Exception in thread... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** - Fixes #8021\n- `api.md` is renamed to `help-api.md`\n- page title is extracted from the first line of the markdown files (if it is a top-level title), we may consider adjusting it e.g. for `content-moderation.md... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.333000Z | rebench-v2__dart-lang__pub-dev-8050 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__dart-lang__pub-dev-8__oynUyKx | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch app/test/frontend/templates_test.dart...
Applied patch app/test/frontend/templates_test.dart cleanly.
{"protocolVersion":"0.1.1","runnerVersion":"1.25.8","pid":2661,"type":"start","time":0}
{"suite":{"id":0,"platform":"vm","path":"test/account/agent_test.dart"},"type":"suite","time":0}
{"test":{"id":1,"n... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##209 \"overwrite\" fails for multiple workspaces\nIt seems that if you are trying to create resources in multiple Workspaces in Seqera Platform, the `overwrite` feature of `seqera-kit` does not work. \n\nExample;... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:33:48.719584Z | openswe__seqeralabs__seqerakit-222 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__seqeralabs__seqerakit-2__cGP9GLf | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | + cd /testbed
+ echo '== Environment check =='
== Environment check ==
+ python --version
Python 3.13.2
+ pip list
+ grep -E '(seqerakit|yaml|pytest)'
ruamel.yaml 0.18.10
ruamel.yaml.clib 0.2.12
+ echo '== Ensuring correct dependencies =='
== Ensuring correct dependencies ==
+ python -c 'import yam... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##1001 Feed - TypeError: 'type' object is not subscriptable\n# Bug report\n\n<!--\nHi, thanks for submitting a bug. We appreciate that.\n\nBut, we will need some information about what's wrong to help you.\n-->\n\... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:49:52.903499Z | openswe__typeddjango__django-stubs-1002 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__typeddjango__django-stu__jqjmNHg | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Verifying django_stubs_ext installation...
Successfully imported django_stubs_ext from None
ValuesQuerySet is NOT available, checking __all__...
__all__ = not found
ImportError: cannot import name 'ValuesQuerySet' from 'django_stubs_ext' (unknown location)
Applying test patch...
>>>>> Start Test Output
/opt/conda/envs/... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Add `use_field_ids=` param to Api\nThis allows implementers to declare `use_field_ids=True` once, when creating the Api instance, and not have to pass it to each method call thereafter. FYI @jonathanlaniado \n\nFi... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T12:54:54.970467Z | rebench-v2__gtalarico__pyairtable-386 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__gtalarico__pyairtabl__W5wuD32 | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/test_api_table.py...
Applied patch tests/test_api_table.py cleanly.
============================= test session starts ==============================
collected 63 items
tests/test_api_table.py ................................................ [ 76%]
............... ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Fix for endless loop when requesting records via `POST /listRecords`\nThis fixes #415. The cause was a silly mistake between `params` and `options` within the Api class, and this branch adds both a unit test and a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:34:42.999918Z | rebench-v2__gtalarico__pyairtable-416 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__gtalarico__pyairtabl__KJuDpXK | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/integration/conftest.py...
Checking patch tests/integration/test_integration_api.py...
Checking patch tests/test_api_api.py...
Applied patch tests/integration/conftest.py cleanly.
Applied patch tests/integration/test_integration_api.py cleanly.
Applied patch tests/test_api_api.py cleanly.
/usr/loca... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##47 Investigate whether there are constraints on `relative-convergence-measure` or `acceleration` that we can check\n**Short description**\nFor instance, there might be restrictions on what these can reference. I... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:25:55.643379Z | openswe__precice-forschungsprojekt__config-graph-75 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__precice-forschungsproje__9eJCwh2 | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | <stdin>:9: trailing whitespace.
<stdin>:17: trailing whitespace.
Checking patch tests/example-configs/multi-coupling/multi-coupling_test.py...
error: while searching for:
(data_node, data_node.mesh, Edge.ACCELERATION_DATA__MESH)
for data_node in acceleration.data
]
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Feature Request: Filter `openshift-saas-deploy` by saas-file and environment\n\n## Description\nCurrently, the `openshift-saas-deploy` integration appears to process deployments broadly based on the available st... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:46:44.783670Z | scale-swe__app-sre_qontract-reconcile_pr687 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__app-sre_qontract-reco__gGrm2Lp | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | F [100%]
=================================== FAILURES ===================================
_________________ test_get_saas_files_filter_by_saas_file_name _________________
test_fail_to_pass.py:62: in test_get_saas_files_filter_by_saas_file_name
r... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Allow passing a custom `console` instance to `RichHelpFormatter`\n\n## Description\nCurrently, `RichHelpFormatter` instantiates its own `rich.console.Console` internally. This behavior prevents users from inject... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:06:30.258372Z | scale-swe__hamdanal_rich-argparse_pr92 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__hamdanal_rich-argpars__FWhby78 | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | . [100%]
1 passed in 0.03s
|
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##2236 `RawQuerySet` has conflicting errors: \"is not subscriptable\" vs \"Missing type parameter\"\n# Bug report\n\n\n## What's wrong\n\nUsing `RawQuerySet` as type annotation is not possible. \n_Without_ the ge... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:59:30.955370Z | openswe__typeddjango__django-stubs-2316 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__typeddjango__django-stu__gZaXT5F | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | error: corrupt patch at line 21
>>>>> Start Test Output
Running existing test_patched_generics test...
============================= test session starts ==============================
collecting ... collected 1 item
Running 1 items in this shard: ::test_patched_generics
../dev/::test_patched_generics PASSED ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##420 Wärmeplanung Checkliste\n**DAS** Thema aktuell in den Kommunen: \nWie kriegen wir die Wärmewende hin? \n\n**Der** Schritt dahin: \nEine gute Wärmeplanung\n\n**DAS** Tool, das wir dafü unseren Teams geben: \n... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:51:32.114697Z | openswe__GermanZero-de__localzero-monitoring-422 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__GermanZero-de__localzer__eRo8NUs | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch cpmonitor/tests/permissions_test.py...
Checking patch e2e_tests/database/test_database.json...
Checking patch e2e_tests/test_energy_plan_checklist_page.py...
Applied patch cpmonitor/tests/permissions_test.py cleanly.
Applied patch e2e_tests/database/test_database.json cleanly.
Applied patch e2e_tests/tes... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##168 Streamline API naming for `Server*` / `*Callable`\nI just tried to get an overview of the server classes fingerprints (`pynumaflow 0.7.0`);\n\n| module | class_name | arg_name | arg_type |\n|--------|-------... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:06:44.603556Z | openswe__numaproj__numaflow-python-201 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__numaproj__numaflow-pyth__jrWqPBk | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Applying test patch...
Checking patch tests/reduce/test_async_reduce.py...
error: while searching for:
return reduce_pb2_grpc.ReduceStub(_channel)
def test_error_init(self):
# Check that reducer_handler in required
with self.assertRaises(TypeError):
ReduceAsyncServer()
#... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Unhandled UnicodeDecodeError when client sends non-ASCII command\n\nI have observed that the `aiosmtpd` server does not gracefully handle incoming commands that contain non-ASCII characters.\n\nIf a client conne... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.311749Z | scale-swe__aio-libs_aiosmtpd_pr143 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__aio-libs_aiosmtpd_pr1__YmCoLQ4 | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | .. [100%]
2 passed in 0.03s
|
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Refactor Validator configuration to use a `Config` object\n\n## Description\nCurrently, validation options such as `fail_fast` are passed directly as arguments to the `validate` and `collect_violations` methods.... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:39:13.387424Z | scale-swe__bufbuild_protovalidate-python_pr323 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__bufbuild_protovalidat__eJ2mnJd | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | .FFFFF [100%]
=================================== FAILURES ===================================
__________________________ test_validator_with_config __________________________
test_fail_to_pass.py:33: in test_validator_with_config
msg = validations_p... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Refactor event propagation\nThis PR refactors how events are propagated to `process[Symbol.for('wreck')]`. Instead of attempting to link the instances of Wreck and process emitter via `Object.assign`, which result... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:12:33.249009Z | rebench-v2__hapijs__wreck-148 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__hapijs__wreck-148__YV5o6Pj | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/index.js...
Applied patch test/index.js cleanly.
request()
✔ 1) requests a resource with callback (13 ms and 4 assertions)
✔ 2) requests a POST resource (3 ms and 4 assertions)
✔ 3) requests a POST resource with unicode characters in payload (3 ms and 4 assertions)
✔ 4) requests a POST resou... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Allow falsy values for vapidDetails\nCloses #445 \n\nI added some tests for multiple FCM cases, but I had to fix the vapid validation for that. Please review those changes once.\n\nAlso should I separate the tests... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:29:43.453485Z | rebench-v2__web-push-libs__web-push-456 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__web-push-libs__web-p__ZjPRgxw | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/testSendNotification.js...
Applied patch test/testSendNotification.js cleanly.
`sandbox.create()` is deprecated. Use default sandbox at `sinon.sandbox` or create new sandboxes with `sinon.createSandbox()`
Test CLI
✓ no args run (96ms)
✓ test send-notification no args (54ms)
✓ test se... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Incorrect unpacking of CFDP PDUs when CRC is enabled\n\nI have encountered an issue when parsing CFDP PDUs (specifically `MetadataPdu`, `EofPdu`, and `FileDataPdu`) when the CRC checksum is enabled.\n\nWhen I co... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:57:28.336753Z | scale-swe__us-irs_spacepackets-py_pr90 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__us-irs_spacepackets-p__feyT8p4 | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | ... [100%]
3 passed in 0.03s
|
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##155 Unable to scan npm packages within a namespace (e.g. @typescript-eslint/eslint-plugin)\n```\nFound 0 potentially malicious indicators scanning @typescript-eslint/eslint-plugin version 5.29.0\n\nSome rules fa... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:27:59.967982Z | openswe__DataDog__guarddog-156 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__DataDog__guarddog-156__xWu7t9V | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | === Starting test execution ===
Python version: Python 3.10.20
=== Running in testOnly mode (test patch only) ===
error: corrupt patch at line 35
>>>>> Start Test Output
============================= test session starts ==============================
collecting ... collected 4 items
tests/core/test_npm_package_scanner... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Feature request: `\\e` command should load the last executed query into the editor\n\n### Description\nCurrently, the `\\e` command allows users to edit the current query buffer in an external editor.\n* If I ... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:08.680739Z | scale-swe__dbcli_pgcli_pr710 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__dbcli_pgcli_pr710__TvVRizZ | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | FFF.F [100%]
=================================== FAILURES ===================================
__________________________ test_get_last_query_empty ___________________________
test_fail_to_pass.py:12: in test_get_last_query_empty
assert pgcli.get_las... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Add `Legacy` `target-access-mode` to enable upgrade from pre `0.12.17` version\nBefore version `0.12.17` loadbalancer target group target type was not\nspecified and defaulted to `instance` in CloudFormation, see\... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:02.476530Z | rebench-v2__zalando-incubator__kube-ingress-aws-controller-523 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__zalando-incubator__k__44qK7no | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch aws/adapter_test.go...
Checking patch aws/cf_template_test.go...
Applied patch aws/adapter_test.go cleanly.
Applied patch aws/cf_template_test.go cleanly.
go test -v -race -coverprofile=profile.cov -cover github.com/zalando-incubator/kube-ingress-aws-controller github.com/zalando-incubator/kube-ingress-a... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** test(client): added dynamic test to assert path params\nAdded a test that constructs a generated client, dynamic untyped server and exercise the stack (in this case, asserting how an escaped path parameter moves a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:56:14.481426Z | rebench-v2__go-swagger__go-swagger-3029 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__go-swagger__go-swagg__LbLPr6W | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch fixtures/bugs/1083/pathparam_test.go...
Checking patch generator/generate_test.go...
Applied patch fixtures/bugs/1083/pathparam_test.go cleanly.
Applied patch generator/generate_test.go cleanly.
# github.com/go-swagger/go-swagger/generator [github.com/go-swagger/go-swagger/generator.test]
./client_dynami... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##153 Add more metadata to Pineappl\nwe should expose some basic metadata: all fields for\n- `x1` -> Q2\n- `x2` -> x\n\n\n**Summary from Previous Agent:**\nLet me summarize everything that has happened in this con... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:23:21.690867Z | openswe__NNPDF__yadism-141 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__NNPDF__yadism-141__EjtHaod | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Applying test patch...
Checking patch src/yadism/coefficient_functions/special/nielsen.py...
Checking patch tests/yadism/cf/test_coupling_constants.py...
Checking patch tests/yadism/cf/test_splitting_functions.py...
Checking patch tests/yadism/esf/test_result.py...
Checking patch tests/yadism/test_log.py...
Checking pa... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** resolves #103 allow to specify multiple stylesheets\n\n\n**Summary from Previous Agent:**\nThe user is asking me to provide a comprehensive summary of what was accomplished on this task. Let me review the conversa... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:03:03.725615Z | rebench-v2__mogztter__asciidoctor-pdf.js-108 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__mogztter__asciidocto__sLyBGxf | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/fixtures/theme.css...
Checking patch test/fixtures/variable.css...
Checking patch test/templates_test.js...
error: while searching for:
expect($(`head > link[href="${__dirname}/fixtures/custom.css"]`).length).to.equal(1)
})
describe('Stem', () => {
const fileUrl = require('file-url')
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** enhancement(Timepicker): use not disabled value as default\n<!--\n Thanks so much for your PR and contribution.\n\n Before submitting, please make sure to follow the Pull Request Guidelines: https://github.com/a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:26:51.084525Z | rebench-v2__arco-design__arco-design-694 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__arco-design__arco-de__aR9QrGu | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch components/TimePicker/__test__/index.test.tsx...
Hunk #1 succeeded at 223 (offset 14 lines).
Applied patch components/TimePicker/__test__/index.test.tsx cleanly.
yarn run v1.22.22
$ arco-scripts test:client --verbose --silent=false --no-color --maxWorkers=2
Browserslist: caniuse-lite is outdated. Please ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** wallet: emit 'block connect' events\nCloses #621.\n\nChanges:\n- Added an emit for `block connect` with `entry, txs`. The first arguemnt is not wallet becaue the block doesn't belong to a specific wallet (unlike o... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:18:24.978134Z | rebench-v2__handshake-org__hsd-707 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__handshake-org__hsd-7__bgDYXV3 | VerifierTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##35 Implement the DocumentNotes section\nEPIC: #10\n\n## [CVRF 1.1 view](https://github.com/csaf-tools/CVRF-CSAF-Converter/issues/6#issuecomment-984599492)\n\n![grafik](https://user-images.githubusercontent.com/1... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:02:46.535156Z | openswe__csaf-tools__CVRF-CSAF-Converter-38 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__csaf-tools__CVRF-CSAF-C__PoVDsef | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Applying golden patch...
Checking patch cvrf2csaf/common/common.py...
Checking patch cvrf2csaf/common/utils.py...
Checking patch cvrf2csaf/config/config.yaml...
Checking patch cvrf2csaf/cvrf2csaf.py...
Checking patch cvrf2csaf/section_handlers/document_category.py...
Checking patch cvrf2csaf/section_handlers/document_n... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##186 Move page-level config into page-level directive\n**Is your feature request related to a problem? Please describe.**\nIt would be simpler to use the extension if folks had to specify the path to the API spec... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.159511Z | openswe__SAP__swagger-plugin-for-sphinx-187 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__SAP__swagger-plugin-for__4vowr8T | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | === Initial state of tests/test_plugin.py ===
import pytest
from sphinx.application import Sphinx
SphinxRunner = Callable[..., None]
@pytest.fixture
def sphinx_runner(tmp_path: Path) -> SphinxRunner:
docs = tmp_path / "docs"
docs.mkdir()
...
Creating missing plugin_directive.j2 template file...
Created plugi... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##15 Non standard conversion from strings to IRI-safe version\nAccording to the [RML-Core current W3C Draft Community Group Report (07 August 2024)](https://w3id.org/rml/core/spec#dfn-iri-safe), the _IRI-safe vers... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.056264Z | openswe__anuzzolese__pyrml-16 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__anuzzolese__pyrml-16__BdknTWq | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | >>>>> Checking for existing test files...
>>>>> Start Test Output
Found test files, running them...
Test files found:
./test_iri.py
=============================== warnings summary ===============================
../opt/conda/envs/testbed/lib/python3.11/site-packages/lark/utils.py:163
/opt/conda/envs/testbed/lib/pyt... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** bugfix: query equivalence for time_range, filter ops, and calculations\n## Which problem is this PR solving?\n\n- Closes #275\n\n## Short description of the changes\n\nThe QuerySpec 'equivalence' functionality int... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T12:29:04.680102Z | rebench-v2__honeycombio__terraform-provider-honeycombio-282 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__honeycombio__terrafo__iJ3vYFa | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch client/board_test.go...
Checking patch client/query_spec_test.go...
Checking patch honeycombio/resource_query_test.go...
Applied patch client/board_test.go cleanly.
Applied patch client/query_spec_test.go cleanly.
Applied patch honeycombio/resource_query_test.go cleanly.
# github.com/honeycombio/terrafor... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Support for HOCON duration and period format\n\n## Description\nI would like to propose adding support for the HOCON duration and period format to `pyhocon`. The HOCON specification allows defining time duration... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:02.783099Z | scale-swe__chimpler_pyhocon_pr199 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__chimpler_pyhocon_pr19__SJYjWmi | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | ERROR: not found: /workspace/pyhocon/tests/test_config_parser.py::TestConfigParser::test_parse_string_with_duration
(no match in any of [<Class TestConfigParser>])
ERROR: not found: /workspace/pyhocon/tests/test_config_parser.py::TestConfigParser::test_parse_string_with_duration
(no match in any of [<Class TestConfigP... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Fix imported withopts\nFixes #148\n\n\n**Summary from Previous Agent:**\nThe user wants me to summarize what I've accomplished so far on the \"Fix imported withopts\" task. Let me review the conversation history a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:18:42.682215Z | rebench-v2__openllb__hlb-174 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__openllb__hlb-174__jEXsU9e | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch codegen/codegen_test.go...
Applied patch codegen/codegen_test.go cleanly.
=== RUN TestParse
=== PAUSE TestParse
=== RUN TestUnparse
=== RUN TestUnparse/empty
=== PAUSE TestUnparse/empty
=== RUN TestUnparse/regular
=== PAUSE TestUnparse/regular
=== RUN TestUnparse/no_space
=== PAUSE TestUnparse/... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##65 Helpful error with non-box meshes\nFor most cases #31 seems to be the reason, but it appears to happen (rarely) for certain runs even with box simulations as seen in #56.\n\nIn v1.5.0 we will at the very leas... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:44:31.319579Z | openswe__eX-Mech__pymech-68 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__eX-Mech__pymech-68__rWKWwjQ | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/data...
Checking patch tests/test_dataset.py...
warning: unable to rmdir 'tests/data': Directory not empty
Applied patch tests/data cleanly.
Applied patch tests/test_dataset.py cleanly.
Checking patch pymech/dataset.py...
error: while searching for:
elements = field.elem
elem_stores = [_Ne... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Feature Request: GPOS table compaction module (`otlLib.optimize`)\n\n### Description\nFonts with extensive class-based kerning (GPOS Lookup Type 2), especially those covering multiple scripts, often result in ve... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:23:03.941098Z | scale-swe__fonttools_fonttools_pr2326 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__fonttools_fonttools_p__QQhM7hd | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | FFFF [100%]
=================================== FAILURES ===================================
__________________________________ test_main ___________________________________
Tests/otlLib/optimize_test.py:45: in test_main
assert output.exists()
E ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##266 Using `pb.seg_group` breaks validation when a brief is also provided\n## Prework\n\n- [x] Read and agree to the [code of conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/) and [contr... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T12:06:47.713289Z | openswe__posit-dev__pointblank-275 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__posit-dev__pointblank-2__TmKNc7Q | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | === Checking git status before patching ===
M pointblank/validate.py
M tests/test_segments.py
?? =0.8.1
?? =0.9.9
?? =1.0.0
?? =1.1.3
?? =1.10.1
?? =15.0
?? =19.4
?? =2.10.5
?? =3.0.0
?? =3.16.0
?? =3.6.1
?? =6.129.2
?? =8.4.1
?? =9.5.0
=== Applying golden patch (fix) ===
Golden patch already applied or cannot be app... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##399 ament_flake8 fails with flake8>=5.0.0\n```\nbuild/test_tracetools/test_results/test_tracetools/flake8.xunit.xml: 1 test, 1 error, 0 failures, 0 skipped\n- test_tracetools flake8.xunit.missing_result\n <<< e... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:20:47.696783Z | openswe__ament__ament_lint-410 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__ament__ament_lint-410__dX66t24 | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | >>>>> Start Test Output
============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.2, pluggy-1.6.0 -- /opt/conda/envs/testbed/bin/python3.11
cachedir: .pytest_cache
rootdir: /testbed/ament_flake8
configfile: pytest.ini
plugins: ament_flake8-0.15.0, amen... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##67 add option to NOT propagate taxonomy in `parse_silva_taxonomy` \nIf we are interested in down-stream analyses that require in-depth taxonomic curation at various ranks, then we should allow the option to *not... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:06:23.822476Z | openswe__bokulich-lab__RESCRIPt-68 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__bokulich-lab__RESCRIPt-__mcFiF3e | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch rescript/tests/test_get_data.py...
Checking patch rescript/tests/test_parse_silva_taxonomy.py...
Hunk #4 succeeded at 347 (offset 78 lines).
Applied patch rescript/tests/test_get_data.py cleanly.
Applied patch rescript/tests/test_parse_silva_taxonomy.py cleanly.
>>>>> Start Test Output
==================... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##9 Add generic PIN pipeline\n\n\n**Summary from Previous Agent:**\nLet me summarize what has been accomplished so far on the \"Add generic PIN pipeline\" task.\n\n## Major Actions Completed:\n\n1. **Explored the ... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:59:57.442843Z | openswe__CompOmics__ms2rescore-10 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__CompOmics__ms2rescore-1__DywD5we | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Applying test patch...
Checking patch tests/test_percolator.py...
Applied patch tests/test_percolator.py cleanly.
Golden patches not found - applying direct fix to percolator.py for tuple key compatibility...
Successfully modified percolator.py to handle tuple keys
>>>>> Start Test Output
============================= ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Add static type annotations to `ops/charm.py` and enforce validity in event restoration\n\n## Description\nI am currently working on improving the static analysis coverage for charms developed with the Operator ... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:39:55.220099Z | scale-swe__canonical_operator_pr791 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__canonical_operator_pr__cdwcRBV | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | FF [100%]
=================================== FAILURES ===================================
__ TestRelationEventRestore.test_restore_relation_not_found_raises_valueerror __
test_fail_to_pass.py:43: in test_restore_relation_not_found_raises_valueerror
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Support for RFC 9802 (Hash-based Signature Algorithms for X.509)\n\n## Description\nI would like to request support for **RFC 9802**, which specifies the use of HSS/LMS, XMSS, and XMSS^MT hash-based signature al... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:39:31.201723Z | scale-swe__russhousley_pyasn1-alt-modules_pr84 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__russhousley_pyasn1-al__9Hny7DV | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | .FFFFF [100%]
=================================== FAILURES ===================================
______________________________ test_oids_defined _______________________________
test_fail_to_pass.py:19: in test_oids_defined
assert rfc9802.id_alg_xmss_h... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##185 Improve the ergonomics of pipelines\n**Is your feature request related to a problem? Please describe.**\nIn F# one can write the following pipeline:\n\n```fsharp\nlet result =\n (val1, val2, val3)\n |> con... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T12:15:51.446845Z | openswe__dbrattli__Expression-194 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__dbrattli__Expression-19__yNNFAfE | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch tests/test_option.py...
Checking patch tests/test_pipe.py...
Checking patch tests/test_result.py...
Checking patch tests/test_seq.py...
<stdin>:117: new blank line at EOF.
+
Checking patch tests/test_try.py...
Applied patch tests/test_option.py cleanly.
Applied patch tests/test_pipe.py cleanly.
Applied p... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Add `thread-id` to the payload builder (closes #382)\nAs requested in #382, this adds support for the `thread-id` field to the payload builder.\n\n\n**Summary from Previous Agent:**\nThe user is asking me to summa... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:19:23.208156Z | rebench-v2__relayrides__pushy-394 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__relayrides__pushy-39__RVYyqap | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch pushy/src/test/java/com/relayrides/pushy/apns/util/ApnsPayloadBuilderTest.java...
Hunk #1 succeeded at 412 (offset 10 lines).
Applied patch pushy/src/test/java/com/relayrides/pushy/apns/util/ApnsPayloadBuilderTest.java cleanly.
[INFO] Scanning for projects...
[WARNING] The project com.relayrides:pushy-be... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Refactor `BaseBloom` loading logic to support bytes and remove unused arguments\n\n## Description\nI noticed that the internal loading mechanism in `BaseBloom` and its subclasses is somewhat fragmented and conta... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.288995Z | scale-swe__barrust_pyprobables_pr90 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__barrust_pyprobables_p__dhYjXza | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | ..F. [100%]
=================================== FAILURES ===================================
______________ test_bloomfilterondisk_load_accepts_only_filepath _______________
test_fail_to_pass.py:64: in test_bloomfilterondisk_load_accepts_only_filepath
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** feat(query): allow restricting relations is ListRelations\n<!-- Thanks for opening a PR! Here are some quick tips:\nIf this is your first time contributing, [read our Contributing Guidelines](https://github.com/op... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:27:15.084753Z | rebench-v2__openfga__cli-58 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__openfga__cli-58__pxVCQEB | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch cmd/query/list-relations_test.go...
error: while searching for:
var clientConfig fga.ClientConfig
contextualTuples := []client.ClientTupleKey{
{User: "user:foo", Relation: "admin", Object: "doc:doc1"},
}
_, err := listRelations(clientConfig, mockFgaClient, "user:foo", "doc:doc1", contextualTuples... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # [BigQuery] Support for `OPTIONS` in CREATE TABLE/Columns and `CLUSTER BY` without parentheses\n\n## Description\nI am using `simple-ddl-parser` to parse BigQuery DDL statements. I have noticed that certain valid... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:38:38.078081Z | scale-swe__xnuinside_simple-ddl-parser_pr93 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__xnuinside_simple-ddl-__6LzDY9H | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | FFF [100%]
=================================== FAILURES ===================================
____________________________ test_options_in_column ____________________________
tests/test_bigquery.py:288: in test_options_in_column
assert expected == r... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Fix constrainer overwrite\nFixed #254\n\n\n**Summary from Previous Agent:**\nLet me provide a comprehensive summary of what has been accomplished so far on this task to fix the constrainer overwrite issue (#254).\... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.015333Z | rebench-v2__delvedor__find-my-way-256 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__delvedor__find-my-wa__mzrQydw | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/issue-254.test.js...
Applied patch test/issue-254.test.js cleanly.
test/case-insensitive.test.js
case insensitive static routes of level 1
✓ we should be here
case insensitive static routes of level 2
✓ we should be here
case insensitive static routes of level 3
✓ we should b... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Add router.off method support filter\nfix #247\n\n\n**Summary from Previous Agent:**\nThe user is asking me to summarize what I've accomplished so far on the task to add router.off method support filter (fix #247)... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:13:45.197737Z | rebench-v2__delvedor__find-my-way-251 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__delvedor__find-my-wa__QRdYvEf | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/issue-247.test.js...
error: test/issue-247.test.js: already exists in working directory
Checking patch test/issue-254.test.js...
test/case-insensitive.test.js
case insensitive static routes of level 1
✓ we should be here
case insensitive static routes of level 2
✓ we should be here
... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##87 [Feature]: Parallelize Clean-up for more than 1 Index\n### Describe the feature\n\nCurrently, batch clean-up runs sequentially. I am proposing changing this to a parallelized approach.\n\n### Improvement to P... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:43:52.402194Z | openswe__Azure-Samples__Apim-Samples-92 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__Azure-Samples__Apim-Sam__nKacLat | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | <stdin>:37: trailing whitespace.
<stdin>:41: trailing whitespace.
<stdin>:44: trailing whitespace.
<stdin>:49: trailing whitespace.
<stdin>:52: trailing whitespace.
Checking patch tests/python/test_infrastructures.py...
Checking patch tests/python/test_utils.py...
Applied patch tests/python/tes... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Issue: `multidispatch` fails or behaves unexpectedly when using `typing.Literal`\n\n## Description\nI attempted to use `typing.Literal` with the `@multidispatch` decorator to dispatch functions based on specific... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:03.373689Z | scale-swe__erezsh_runtype_pr67 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__erezsh_runtype_pr67__cGtVcaR | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | F [100%]
=================================== FAILURES ===================================
______________________ TestDispatch.test_literal_dispatch ______________________
tests/test_basic.py:743: in test_literal_dispatch
assert False
E assert ... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##7 Implement Automatic Background File Backup Feature\nImplement a feature that allows the tool to perform automatic file backups in the background.\n\nUsers often forget to manually initiate file backups. This f... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T13:21:25.129511Z | openswe__KafetzisThomas__SafeArchive-14 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__KafetzisThomas__SafeArc__Qn2eUro | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | === PHASE 1: Applying test patch (tests only) ===
No test files detected after applying test patch.
Creating a minimal test to verify CLI/Scripts/cli_configs.py patch...
>>>>> Start Test Output (Phase 1)
============================= test session starts ==============================
platform linux -- Python 3.12.13, p... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##98 Do not remove else block of `\\iffalse .. \\else .. \\fi` control sequence\nCurrently, the `\\else` block of a structure like `\\iffalse abc\\else def\\fi` is removed while they should not be removed.\nInstea... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:28:47.154852Z | openswe__google-research__arxiv-latex-cleaner-99 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__google-research__arxiv-__mkVzSSv | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch arxiv_latex_cleaner/tests/arxiv_latex_cleaner_test.py...
Applied patch arxiv_latex_cleaner/tests/arxiv_latex_cleaner_test.py cleanly.
>>>>> Start Test Output
/testbed/arxiv_latex_cleaner/tests/arxiv_latex_cleaner_test.py:476: SyntaxWarning: invalid escape sequence '\#'
'text_in': '\\newcommand\\figref[... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Refactor parameter and stubs resolver tests to use pytest\n\n## Description\nThe tests located in `jsonargparse_tests/test_parameter_resolvers.py` and `jsonargparse_tests/test_stubs_resolver.py` are currently im... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:47:43.768310Z | scale-swe__omni-us_jsonargparse_pr285 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__omni-us_jsonargparse___GBT7cyZ | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | .
1 passed in 0.08s
|
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** ##16 No RQLFilterClass constraints question\nHello,\n\nwas wondering if its possible to allow every field in a model to be filter-able without explicitly writing it out? Didn't see that being an option in the docu... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T08:06:02.806399Z | openswe__cloudblue__django-rql-19 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | openswe__cloudblue__django-rql-1__fHYCBaQ | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch dj_rql/filter_cls.py...
Hunk #1 succeeded at 1057 (offset 35 lines).
Applied patch dj_rql/filter_cls.py cleanly.
Checking patch tests/dj_rf/urls.py...
Checking patch tests/dj_rf/view.py...
Checking patch tests/test_drf/test_common_drf_backend.py...
Checking patch tests/test_filter_cls/test_initialization... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Fix GuildCache.ETS not including guild_id in role_create and role_update methods.\nI got no issues with the typespecs I changed, but this is the first time I have worked with them before so do double check I got t... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:22:53.893310Z | rebench-v2__kraigie__nostrum-377 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__kraigie__nostrum-377__udAoLgg | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test/nostrum/cache/guild_cache_test.exs...
Applied patch test/nostrum/cache/guild_cache_test.exs cleanly.
warning: Logger.warn/1 is deprecated. Use Logger.warning/2 instead
│
49 │ Logger.warn("""
│ ~
│
└─ lib/nostrum/application.ex:49:16: Nostrum.Application.ch... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Rework loader merging so that it uses append over prepend\nThis means latter loader definitions will `append` to the existing. This is consistent with webpack evaluation order (bottom to top, right to left).\n\nCl... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T11:34:12.961296Z | rebench-v2__survivejs__webpack-merge-32 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__survivejs__webpack-m__nKsvKqp | AgentTimeoutError | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch test.js...
error: while searching for:
// prepend here!!! this is an exception given normally we want to
// append instead. without this the loader order doesn't make
// any sense in this case
loaders: ['b', 'a']
}, {
test: /\.css$/,
loader: 'b'
error: patch faile... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** Encode property names when building path to property\nWhen creating a fragment with JSON Pointer path, we now encode property names using the rules from RFC 6901. This means that the property name can be treated a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T09:36:31.745083Z | rebench-v2__joelittlejohn__jsonschema2pojo-1465 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | rebench-v2__joelittlejohn__jsons__dFeNo7x | 0.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | Checking patch jsonschema2pojo-core/src/test/java/org/jsonschema2pojo/JsonPointerUtilsTest.java...
Checking patch jsonschema2pojo-integration-tests/src/test/java/org/jsonschema2pojo/integration/PropertiesIT.java...
Checking patch jsonschema2pojo-integration-tests/src/test/resources/schema/properties/propertiesWithSpeci... |
[
{
"content": "You are picking up work from a previous AI agent on this task:\n\n**Original Task:** # Title: Improve scanner diagnostics with mode details and refine fallback logging\n\n# Description\nI have noticed some limitations in the observability of the `HaScanner`, particularly regarding how it handles a... | terminus-2 | hosted_vllm/Qwen3.5-397B-A17B-FP8 | hosted_vllm | 2026-04-03T10:06:00.992553Z | scale-swe__bluetooth-devices_habluetooth_pr39 | episode-0 | 22419e06-c131-4bdb-b68e-022e40b2269b | scale-swe__bluetooth-devices_hab__xgY8T4x | 1.0 | You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.
Format your response as JSON with the following structure:
{
"analysis"... | ============================= test session starts ==============================
platform linux -- Python 3.11.14, pytest-7.4.4, pluggy-1.4.0
rootdir: /workspace/habluetooth
configfile: pyproject.toml
plugins: anyio-4.12.0, asyncio-0.23.6, cov-3.0.0, timeout-2.4.0, xdist-3.8.0
asyncio: mode=Mode.STRICT
collected 1 item... |
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