Client.__init__() got an unexpected keyword argument 'proxies'

[aidando73]

System Info

(llama-stack) ubuntu@168-138-112-243:~/1xa100-2/llama-stack-apps$ python -m "torch.utils.collect_env"
/usr/lib/python3.10/runpy.py:126: RuntimeWarning: 'torch.utils.collect_env' found in sys.modules after import of package 'torch.utils', but prior to execution of 'torch.utils.collect_env'; this may result in unpredictable behaviour
  warn(RuntimeWarning(msg))
Collecting environment information...
PyTorch version: 2.4.1
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35

Python version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.8.0-49-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA A100-SXM4-40GB
Nvidia driver version: 550.127.05
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        48 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               30
On-line CPU(s) list:                  0-29
Vendor ID:                            AuthenticAMD
Model name:                           AMD EPYC 7J13 64-Core Processor
CPU family:                           25
Model:                                1
Thread(s) per core:                   1
Core(s) per socket:                   1
Socket(s):                            30
Stepping:                             1
BogoMIPS:                             4899.99
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm rep_good nopl cpuid extd_apicid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw perfctr_core ssbd ibrs ibpb stibp vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves clzero xsaveerptr wbnoinvd arat npt nrip_save umip pku ospke vaes vpclmulqdq rdpid fsrm arch_capabilities
Virtualization:                       AMD-V
Hypervisor vendor:                    KVM
Virtualization type:                  full
L1d cache:                            1.9 MiB (30 instances)
L1i cache:                            1.9 MiB (30 instances)
L2 cache:                             15 MiB (30 instances)
L3 cache:                             480 MiB (30 instances)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-29
Vulnerability Gather data sampling:   Not affected
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Vulnerable: Safe RET, no microcode
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

Versions of relevant libraries:
[pip3] flake8==4.0.1
[pip3] numpy==1.21.5
[pip3] optree==0.13.0
[pip3] torch==2.4.1
[pip3] torchvision==0.19.1
[pip3] triton==3.0.0
[conda] No relevant packages

Information

• [X] The official example scripts
• [ ] My own modified scripts

🐛 Describe the bug

# llama-stack server:
sudo docker run \
  -it \
  -v ~/.llama:/root/.llama \
  --gpus all \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  llamastack/distribution-meta-reference-gpu \
  --port $LLAMA_STACK_PORT \
  --env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
Setting CLI environment variable INFERENCE_MODEL => meta-llama/Llama-3.2-3B-Instruct
Using template meta-reference-gpu config file: /usr/local/lib/python3.10/site-packages/llama_stack/templates/meta-reference-gpu/run.yaml

# Command:
python -m examples.agents.hello localhost 5001

Error logs

(llama-stack) ubuntu@168-138-112-243:~/1xa100-2/llama-stack-apps$ python -m examples.agents.hello localhost 5001
Traceback (most recent call last):
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/ubuntu/1xa100-2/llama-stack-apps/examples/agents/hello.py", line 78, in <module>
    fire.Fire(main)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/fire/core.py", line 135, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/fire/core.py", line 468, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/fire/core.py", line 684, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/home/ubuntu/1xa100-2/llama-stack-apps/examples/agents/hello.py", line 17, in main
    client = LlamaStackClient(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/llama_stack_client/_client.py", line 108, in __init__
    super().__init__(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/llama_stack_client/_base_client.py", line 855, in __init__
    self._client = http_client or SyncHttpxClientWrapper(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/llama_stack_client/_base_client.py", line 753, in __init__
    super().__init__(**kwargs)
TypeError: Client.__init__() got an unexpected keyword argument 'proxies'

Expected behavior

No error occurs and command runs with output as per README.md

[aidando73]

Might be an error with llama-stack-client 🤔

[aidando73]

Installing pip install httpx==0.27.2 resolves the issue. I was on 0.28.0 before:

(llama-stack) ubuntu@168-138-112-243:~/1xa100-2/llama-stack-apps$ pip show httpx
Name: httpx
Version: 0.28.0
Summary: The next generation HTTP client.
Home-page: 
Author: 
Author-email: Tom Christie <tom@tomchristie.com>
License: BSD-3-Clause
Location: /home/ubuntu/.local/lib/python3.10/site-packages
Requires: anyio, certifi, httpcore, idna
Required-by: gradio, gradio_client, llama_stack, llama_stack_client, safehttpx

Might be something wrong with the latest release of httpx? Just came out yesterday:

https://github.com/encode/httpx/releases/tag/0.28.0

Asking maintainers: https://github.com/encode/httpx/discussions/3425

[aidando73]

Maintainers have replied:

Heya. That parameter became deprecated in 0.26.0, and was removed in 0.28.0. If you could follow up with llama_stack_client to help their team get this resolved, that'd be helpful. You can pin to httpx=0.27.2 in the meantime.

https://github.com/encode/httpx/discussions/3425

Opened an issue on llama_stack_client_python https://github.com/meta-llama/llama-stack-client-python/issues/54