bug: client.py calling example_single_tool_call_simple_agent produces error in “Creating a Resource Server” tutorial
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Description
Describe the bug
Following the official tutorial “6. Run with an Agent” in the NeMo Gym documentation, the provided client.py appears to call the default agent example_single_tool_call_simple_agent instead of the custom agent my_weather_tool_simple_agent that was created in the configuration according to the instructions in the previous steps.
As a result, running the client leads to an error because the agent name does not match the agent server running:
python responses_api_agents/simple_agent/client.py
Traceback (most recent call last):
File "/home/nvidia/Gym/responses_api_agents/simple_agent/client.py", line 56, in <module>
result = run(task)
^^^^^^^^^
File "/opt/miniconda/lib/python3.12/asyncio/runners.py", line 195, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/opt/miniconda/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/nemo_gym/server_utils.py", line 276, in post
return await self.request(
^^^^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/nemo_gym/server_utils.py", line 231, in request
server_config_dict = get_first_server_config_dict(self.global_config_dict, server_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/nemo_gym/global_config.py", line 367, in get_first_server_config_dict
server_config_dict = global_config_dict[top_level_path]
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/dictconfig.py", line 375, in __getitem__
self._format_and_raise(key=key, value=None, cause=e)
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/base.py", line 231, in _format_and_raise
format_and_raise(
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/_utils.py", line 899, in format_and_raise
_raise(ex, cause)
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/_utils.py", line 797, in _raise
raise ex.with_traceback(sys.exc_info()[2]) # set env var OC_CAUSE=1 for full trace
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/dictconfig.py", line 369, in __getitem__
return self._get_impl(key=key, default_value=_DEFAULT_MARKER_)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/dictconfig.py", line 442, in _get_impl
node = self._get_child(
^^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/basecontainer.py", line 73, in _get_child
child = self._get_node(
^^^^^^^^^^^^^^^
File "/home/nvidia/Gym/.venv/lib/python3.12/site-packages/omegaconf/dictconfig.py", line 480, in _get_node
raise ConfigKeyError(f"Missing key {key!s}")
omegaconf.errors.ConfigKeyError: Missing key example_single_tool_call_simple_agent
full_key: example_single_tool_call_simple_agent
object_type=dict
Steps/Code to reproduce bug
Follow the tutorial Creating a Resource Server step by step.
- In step 6. Run with an Agent, after starting the server I was seeing 4 servers up and running:
- Then when running
python responses_api_agents/simple_agent/client.pywithtask = server_client.post( server_name="example_single_tool_call_simple_agent",..., I saw the above error. - Changing to the running server:
my_weather_tool_simple_agentorsimple_agentfix the problem.
Expected behavior
Produce rollouts successfully.
Configs
ng_dump_config
policy_base_url: https://api.openai.com/v1
policy_api_key: /
policy_model_name: gpt-4.1-2025-04-14
head_server:
host: 127.0.0.1
port: 11000
disallowed_ports:
- 11000
head_server_deps:
- ray[default]==2.50.1
- openai==2.6.1
python_version: 3.12.9
Environment details
Otherwise, please provide:
- OS version: Ubuntu 22.04
- Python version: Python 3.12.9
uv pip listoutput:
(Gym) (base) nvidia@pdx-tme-022:~/Gym$ uv pip list
Package Version Editable project location
---------------------------------- ----------- -------------------------
accessible-pygments 0.0.5
accumulation-tree 0.6.4
aiofiles 24.1.0
aiohappyeyeballs 2.6.1
aiohttp 3.12.15
aiohttp-cors 0.8.1
aiosignal 1.4.0
alabaster 1.0.0
alembic 1.16.5
annotated-types 0.7.0
antlr4-python3-runtime 4.9.3
anyio 4.10.0
astroid 3.3.11
asttokens 2.4.1
attrs 25.3.0
babel 2.17.0
beautifulsoup4 4.13.5
blinker 1.9.0
brotli 1.1.0
cachetools 5.5.2
certifi 2025.8.3
cffi 1.17.1
cfgv 3.4.0
charset-normalizer 3.4.3
click 8.2.1
cloudpickle 3.1.1
colorama 0.4.6
colorful 0.5.7
contourpy 1.3.3
coverage 7.10.5
cryptography 45.0.7
cycler 0.12.1
databricks-sdk 0.65.0
datasets 4.4.1
devtools 0.12.2
dill 0.4.0
distlib 0.4.0
distro 1.9.0
docker 7.1.0
docutils 0.21.2
execnet 2.1.1
executing 2.2.1
fastapi 0.116.1
ffmpy 0.6.1
filelock 3.19.1
flask 3.1.2
fonttools 4.59.2
frozenlist 1.7.0
fsspec 2025.9.0
gitdb 4.0.12
gitpython 3.1.45
google-api-core 2.27.0
google-auth 2.40.3
googleapis-common-protos 1.71.0
gradio 5.44.1
gradio-client 1.12.1
graphene 3.4.3
graphql-core 3.2.6
graphql-relay 3.2.0
greenlet 3.2.4
groovy 0.1.2
grpcio 1.76.0
gunicorn 23.0.0
h11 0.16.0
hf-xet 1.1.9
httpcore 1.0.9
httpx 0.28.1
huggingface-hub 0.34.4
hydra-core 1.3.2
identify 2.6.13
idna 3.10
imagesize 1.4.1
importlib-metadata 8.7.0
iniconfig 2.1.0
itsdangerous 2.2.0
jinja2 3.1.6
jiter 0.10.0
joblib 1.5.2
jsonschema 4.25.1
jsonschema-specifications 2025.9.1
kiwisolver 1.4.9
mako 1.3.10
markdown-it-py 3.0.0
markupsafe 3.0.2
matplotlib 3.10.6
mdit-py-plugins 0.5.0
mdurl 0.1.2
mlflow 3.3.2
mlflow-skinny 3.3.2
mlflow-tracing 3.3.2
msgpack 1.1.2
multidict 6.6.4
multiprocess 0.70.18
mypy 1.17.1
mypy-extensions 1.1.0
myst-parser 4.0.1
nemo-gym 0.2.0rc0 /home/nvidia/Gym
nodeenv 1.9.1
numpy 2.3.2
nvidia-sphinx-theme 0.0.8
omegaconf 2.3.0
openai 2.6.1
opencensus 0.11.4
opencensus-context 0.1.3
opentelemetry-api 1.36.0
opentelemetry-exporter-prometheus 0.57b0
opentelemetry-proto 1.38.0
opentelemetry-sdk 1.36.0
opentelemetry-semantic-conventions 0.57b0
orjson 3.11.3
packaging 25.0
pandas 2.3.2
pathspec 0.12.1
pillow 11.3.0
platformdirs 4.4.0
pluggy 1.6.0
pre-commit 4.3.0
prometheus-client 0.23.1
propcache 0.3.2
proto-plus 1.26.1
protobuf 6.32.0
psutil 7.1.3
py-spy 0.4.1
pyarrow 21.0.0
pyasn1 0.6.1
pyasn1-modules 0.4.2
pycparser 2.22
pydantic 2.11.7
pydantic-core 2.33.2
pydata-sphinx-theme 0.16.1
pydub 0.25.1
pygments 2.19.2
pyparsing 3.2.3
pytest 8.4.1
pytest-asyncio 1.1.0
pytest-cov 6.2.1
pytest-xdist 3.8.0
python-dateutil 2.9.0.post0
python-multipart 0.0.20
pytz 2025.2
pyudorandom 1.0.0
pyyaml 6.0.2
ray 2.50.1
referencing 0.37.0
requests 2.32.5
requests-mock 1.12.1
rich 14.1.0
roman-numerals-py 3.1.0
rpds-py 0.27.1
rsa 4.9.1
ruff 0.12.11
safehttpx 0.1.6
scikit-learn 1.7.1
scipy 1.16.1
semantic-version 2.10.0
shellingham 1.5.4
six 1.17.0
smart-open 7.4.1
smmap 5.0.2
sniffio 1.3.1
snowballstemmer 3.0.1
soupsieve 2.8
sphinx 8.2.3
sphinx-autobuild 2025.8.25
sphinx-autodoc2 0.5.0
sphinx-copybutton 0.5.2
sphinx-design 0.6.1
sphinx-reredirects 1.0.0
sphinxcontrib-applehelp 2.0.0
sphinxcontrib-devhelp 2.0.0
sphinxcontrib-htmlhelp 2.1.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-mermaid 1.0.0
sphinxcontrib-qthelp 2.0.0
sphinxcontrib-serializinghtml 2.0.0
sqlalchemy 2.0.43
sqlparse 0.5.3
starlette 0.47.3
swagger-plugin-for-sphinx 6.0.0
tdigest 0.5.2.2
threadpoolctl 3.6.0
tomlkit 0.13.3
tqdm 4.67.1
typer 0.17.3
typing-extensions 4.15.0
typing-inspection 0.4.1
tzdata 2025.2
urllib3 2.5.0
uvicorn 0.35.0
uvloop 0.21.0
virtualenv 20.34.0
watchfiles 1.1.0
websockets 15.0.1
werkzeug 3.1.3
wrapt 2.0.0
xxhash 3.6.0
yappi 1.6.10
yarl 1.20.1
zipp 3.23.0
(Gym) (base) nvidia@pdx-tme-022:~/Gym$
Additional context
Add any other context about the problem here.
Example: GPU model
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with responses_api_agents/simple_agent/client.py and the Creating a Resource Server tutorial's “Run with an Agent” section. Compare the client’s server_name with the configured and running agent names, then run the documented command to confirm it produces rollouts without the missing-key error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 50/100