vllm - ✅(Solved) Fix [Bug]: Vllm + Gemma 4 + claude code: tool calling problems [4 pull requests, 9 comments, 4 participants]
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vllm-project/vllm#39043•Fetched 2026-04-08 02:52:51
Comments
9
Participants
4
Timeline
24
Reactions
0
Author
drrrosParticipants
bbrowning
SeanThomasWilliams
tysonmcnultyTimeline (top)
commented ×9subscribed ×7mentioned ×4cross-referenced ×3
Fix Action
Fix / Workaround
============================== CPU Info
Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 52 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 48 On-line CPU(s) list: 0-47 Vendor ID: AuthenticAMD Model name: AMD EPYC 9274F 24-Core Processor CPU family: 25 Model: 17 Thread(s) per core: 2 Core(s) per socket: 24 Socket(s): 1 Stepping: 1 Frequency boost: enabled CPU(s) scaling MHz: 57% CPU max MHz: 4304.1870 CPU min MHz: 1500.0000 BogoMIPS: 8088.21 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user Virtualization: AMD-V L1d cache: 768 KiB (24 instances) L1i cache: 768 KiB (24 instances) L2 cache: 24 MiB (24 instances) L3 cache: 256 MiB (8 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-47 Vulnerability Gather data sampling: Not affected Vulnerability Indirect target selection: 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: Mitigation; Safe RET 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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsa: Mitigation; Clear CPU buffers Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB before exit to userspace
PR fix notes
PR #39027: [Tool] adjust_request to reasoning parser, and Gemma4 fixes
- Repository: vllm-project/vllm
- Author: bbrowning
- State: closed | merged: True
- Link: https://github.com/vllm-project/vllm/pull/39027
Description (problem / solution / changelog)
Purpose
Fix multiple issues preventing Gemma4 models from working correctly with multi-turn tool calling and reasoning in vLLM:
- Add new Gemma4 chat template that properly encodes tool results using the model's native format, handles multi-turn conversations with interleaved tool calls and reasoning, and strips thinking content from prior assistant turns
- Add adjust_request() to ReasoningParser base class (mirroring ToolParser) so reasoning parsers can modify request parameters before generation, used by Gemma4 to set skip_special_tokens=False
- Fix reasoning parser to extract non-streaming thinking content and handle the "thought\n" prefix correctly in streaming
- Fix pre-existing mypy error in ReasoningParserManager.register_module
- Add unit tests for reasoning parser and chat template rendering
- Fix empty "user" turns created when handling tool outputs by our Messages API to Chat Completions translation
is_reasoning_endclean ups for the Gemma 4 reasoning parser- don't assuming reasoning has ended when we scan prompts backwards across user turn boundaries or after tool responses
- explicitly mark reasoning as ended when we start generating tool calls
The net result of these fixes shows larger Gemma4 models are very competitive at multi-turn tool calling for their size. I won't share any specific numbers here, but all of these fixes were guided by both direct inspection of prompting and multi-turn behavior and some simple quantitative eval with the BFCL multi_turn suite.
You'll need to both enable thinking and select the correct chat template when testing Gemma 4 models with these fixes:
vllm serve google/gemma-4-31B-it \
--tool-call-parser gemma4 \
--enable-auto-tool-choice \
--reasoning-parser gemma4 \
--default-chat-template-kwargs '{"enable_thinking": true}' \
--chat-template examples/tool_chat_template_gemma4.jinjaTest Plan
BFCL multi_turn suite to uncover bugs and validate fixes
<details> <summary>(expand for BFCL clone, setup, adding models)</summary>git clone https://github.com/ShishirPatil/gorilla
cd gorilla/berkeley-function-call-leaderboard/
uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install -e .
cat <<EOF >> bfcl_eval/constants/model_config.py
"google/gemma-4-E2B-it": ModelConfig(
model_name="google/gemma-4-E2B-it",
display_name="google/gemma-4-E2B-it (FC) (vLLM)",
url="https://huggingface.co/google/gemma-4-E2B-it",
org="Google",
license="apache-2.0",
model_handler=OpenAICompletionsHandler,
input_price=None,
output_price=None,
is_fc_model=True,
underscore_to_dot=True,
),
"google/gemma-4-26B-A4B-it": ModelConfig(
model_name="google/gemma-4-26B-A4B-it",
display_name="google/gemma-4-26B-A4B-it (FC) (vLLM)",
url="https://huggingface.co/google/gemma-4-26B-A4B-it",
org="Google",
license="apache-2.0",
model_handler=OpenAICompletionsHandler,
input_price=None,
output_price=None,
is_fc_model=True,
underscore_to_dot=True,
),
"google/gemma-4-31B-it": ModelConfig(
model_name="google/gemma-4-31B-it",
display_name="google/gemma-4-31B-it (FC) (vLLM)",
url="https://huggingface.co/google/gemma-4-31B-it",
org="Google",
license="apache-2.0",
model_handler=OpenAICompletionsHandler,
input_price=None,
output_price=None,
is_fc_model=True,
underscore_to_dot=True,
),
}
EOFRun BFCL multi_turn eval suite:
OPENAI_BASE_URL="http://localhost:8000/v1" \
OPENAI_API_KEY="fake" \
bfcl generate \
--model google/gemma-4-31B-it \
--num-threads 4 \
--allow-overwrite \
--test-category multi_turn
OPENAI_API_KEY="fake" \
bfcl evaluateUnit Tests
# Note: this test has a pre-existing dependency on transformers 5.x
# `pip install --upgrade transformers`
pytest tests/reasoning/test_gemma4_reasoning_parser.py
pytest tests/renderers/test_gemma4_chat_template.py
# Run all reasoning parser tests, since we added `adjust_request`
# skip the ones that CI skips because they already fail
# and skip step3p5 because it requires trusting remote code
pytest tests/reasoning \
--ignore=tests/reasoning/test_seedoss_reasoning_parser.py \
--ignore=tests/reasoning/test_glm4_moe_reasoning_parser.py \
--ignore=tests/reasoning/test_step3p5_reasoning_parser.pyClaude Code pointed at a Gemma 4 model running locally
CLAUDE_CODE_USE_VERTEX=0 \
ANTHROPIC_BASE_URL="http://localhost:8000" \
ANTHROPIC_DEFAULT_OPUS_MODEL="google/gemma-4-31B-it" \
ANTHROPIC_DEFAULT_SONNET_MODEL="google/gemma-4-31B-it" \
ANTHROPIC_DEFAULT_HAIKU_MODEL="google/gemma-4-31B-it" \
ANTHROPIC_AUTH_TOKEN="dummy" \
claude \
--model sonnetTest Result
Unit Tests
pytest tests/reasoning/test_gemma4_reasoning_parser.py
29 passed, 2 warnings in 3.24s
pytest tests/renderers/test_gemma4_chat_template.py
14 passed, 2 warnings in 0.98s
tests/reasoning
318 passed, 5 warnings in 40.41s
BFCL Results
I have BFCL results and they are far better after this change than before. I'm not sure it's my place to share those publicly here, but the results for the larger Gemma4 models (MoE and Dense) are very good for models of their size.
Claude Code usability
I was able to execute multiple complex refactoring and new code generation sessions in existing codebases with both Gemma-4-31B and Gemma-4-26B-A4B. After the latest fixes here, I'm not seeing any unparsed tool calls nor any leaked reasoning content into the session.
Changed files
examples/tool_chat_template_gemma4.jinja(added, +331/-0)tests/reasoning/test_gemma4_reasoning_parser.py(modified, +87/-8)tests/renderers/test_gemma4_chat_template.py(added, +345/-0)tests/tool_parsers/test_gemma4_tool_parser.py(modified, +40/-0)vllm/entrypoints/anthropic/serving.py(modified, +2/-1)vllm/entrypoints/openai/api_server.py(modified, +2/-0)vllm/entrypoints/openai/responses/serving.py(modified, +2/-0)vllm/entrypoints/serve/render/serving.py(modified, +13/-0)vllm/parser/abstract_parser.py(modified, +9/-0)vllm/reasoning/abs_reasoning_parsers.py(modified, +8/-2)vllm/reasoning/gemma4_reasoning_parser.py(modified, +35/-3)vllm/tool_parsers/gemma4_tool_parser.py(modified, +4/-2)
PR #39214: [Bugfix] Fix Gemma4 streaming tool parser stale state between requests
- Repository: vllm-project/vllm
- Author: tysonmcnulty
- State: closed | merged: False
- Link: https://github.com/vllm-project/vllm/pull/39214
Description (problem / solution / changelog)
Purpose
Fix multi-turn streaming tool call failures where Gemma4ToolParser silently drops parsed arguments after the first few tool calls in a conversation, causing raw <|"|> tokens to leak through as content text.
Fixes the root cause described in https://github.com/vllm-project/vllm/issues/39043#issuecomment-4201322936
Not duplicating an existing PR. Checked #39027, #39081, #39070, #39114 — none address per-request streaming state reset.
The Bug
Gemma4ToolParser is instantiated once and reused across API requests. _reset_streaming_state() is only called in __init__, so current_tool_id accumulates across requests. After N prior tool calls, _handle_tool_call_end indexes all_matches[N] against the current response's regex matches (which start at 0), silently returning None and dropping parsed arguments.
The Fix
Detect the start of a new streaming response via empty previous_token_ids and call _reset_streaming_state() + clear the delta buffer. 3 lines in extract_tool_calls_streaming.
Test Plan
pytest tests/tool_parsers/test_gemma4_tool_parser.py -vNew test test_streaming_state_reset_between_requests simulates three consecutive requests through the same parser instance and verifies the third request's arguments parse correctly. All 38 tests pass; all pre-commit hooks pass.
AI Assistance Disclosure
AI assistance (Claude Opus 4.6, Devin) was used for root cause analysis, writing the fix and test, and drafting this PR. All changes were reviewed and verified by a human.
Changed files
tests/tool_parsers/test_gemma4_tool_parser.py(modified, +70/-0)vllm/tool_parsers/gemma4_tool_parser.py(modified, +11/-0)
PR #267: feat: add Gemma 4 tool call parser
- Repository: waybarrios/vllm-mlx
- Author: jackneil
- State: closed | merged: False
- Link: https://github.com/waybarrios/vllm-mlx/pull/267
Description (problem / solution / changelog)
Summary
- Adds
gemma4_tool_parser.py— parses Gemma 4's native<|tool_call>call:name{<|"|>key<|"|>:val}<tool_call|>format into OpenAI-compatibletool_calls - Handles nested objects, arrays, unicode, braces in strings, quoted keys, multiple calls per block, and think tag stripping
- Registers as
--tool-call-parser gemma4viaToolParserManager - Adds
<|tool_call>/<tool_call|>toStreamingToolCallFiltertags - Fixes streaming fallback to detect Gemma 4 tool call blocks
- 25 tests covering all edge cases (parsing, streaming, registration)
Motivation
Gemma 4 tool calls arrive as raw text in message.content instead of structured tool_calls because no parser exists for its non-JSON format. This blocks tool use with Claude Code and any OpenAI-compatible client.
Reference implementations: mlx-lm PR #1105, vllm #39043
Usage
vllm-mlx serve google/gemma-4-27b-it \
--enable-auto-tool-choice --tool-call-parser gemma4Test plan
- 25 unit tests passing (parsing, streaming, registration, native format)
- 133 total tool parser tests passing (no regressions)
- End-to-end: Start Gemma 4 with
--tool-call-parser gemma4, send request withtools, verifytool_callspopulated - Streaming: Verify tool calls emit correctly in SSE stream
- Claude Code:
ANTHROPIC_BASE_URL=http://localhost:6969 claude— verify tool use works
🤖 Generated with Claude Code
Changed files
.gitignore(modified, +7/-0)docs/gemma4-tool-calling-research.md(added, +190/-0)docs/reference/cli.md(modified, +11/-0)docs/reference/models.md(modified, +3/-2)docs/research/performance-optimization-research.md(added, +153/-0)pyproject.toml(modified, +1/-1)tests/test_bench_compile.py(added, +57/-0)tests/test_compile.py(added, +60/-0)tests/test_gemma4_tool_parser.py(added, +240/-0)tests/test_native_tool_format.py(modified, +2/-0)tests/test_reasoning_parser.py(modified, +266/-0)tests/test_tool_parsers.py(modified, +3/-0)vllm_mlx/api/utils.py(modified, +3/-0)vllm_mlx/cli.py(modified, +189/-0)vllm_mlx/compile.py(added, +51/-0)vllm_mlx/engine/batched.py(modified, +19/-6)vllm_mlx/mllm_batch_generator.py(modified, +65/-11)vllm_mlx/mllm_scheduler.py(modified, +20/-1)vllm_mlx/models/mllm.py(modified, +2/-0)vllm_mlx/multimodal_processor.py(modified, +1/-1)vllm_mlx/patches/gemma4_mllm.py(added, +121/-0)vllm_mlx/reasoning/__init__.py(modified, +2/-0)vllm_mlx/reasoning/gemma4_parser.py(added, +170/-0)vllm_mlx/server.py(modified, +14/-1)vllm_mlx/tool_parsers/__init__.py(modified, +3/-0)vllm_mlx/tool_parsers/gemma4_tool_parser.py(added, +237/-0)vllm_mlx/utils/tokenizer.py(modified, +2/-0)
Code Example
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 24.04.4 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version : Could not collect
CMake version : version 3.28.3
Libc version : glibc-2.39
==============================
PyTorch Info
==============================
PyTorch version : 2.10.0+cu130
Is debug build : False
CUDA used to build PyTorch : 13.0
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.13.6 (main, Aug 6 2025, 22:57:45) [Clang 20.1.4 ] (64-bit runtime)
Python platform : Linux-6.8.0-106-generic-x86_64-with-glibc2.39
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 13.2.51
CUDA_MODULE_LOADING set to :
GPU models and configuration :
GPU 0: NVIDIA RTX PRO 4000 Blackwell
GPU 1: NVIDIA RTX PRO 4000 Blackwell
GPU 2: NVIDIA RTX PRO 4000 Blackwell
Nvidia driver version : 595.45.04
cuDNN version : Could not collect
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 48
On-line CPU(s) list: 0-47
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9274F 24-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 1
Stepping: 1
Frequency boost: enabled
CPU(s) scaling MHz: 57%
CPU max MHz: 4304.1870
CPU min MHz: 1500.0000
BogoMIPS: 8088.21
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user
Virtualization: AMD-V
L1d cache: 768 KiB (24 instances)
L1i cache: 768 KiB (24 instances)
L2 cache: 24 MiB (24 instances)
L3 cache: 256 MiB (8 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-47
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: 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: Mitigation; Safe RET
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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsa: Mitigation; Clear CPU buffers
Vulnerability Tsx async abort: Not affected
Vulnerability Vmscape: Mitigation; IBPB before exit to userspace
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.7
[pip3] numpy==2.4.4
[pip3] nvidia-cublas==13.1.0.3
[pip3] nvidia-cuda-cupti==13.0.85
[pip3] nvidia-cuda-nvrtc==13.0.88
[pip3] nvidia-cuda-runtime==13.0.96
[pip3] nvidia-cudnn-cu13==9.15.1.9
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft==12.0.0.61
[pip3] nvidia-cufile==1.15.1.6
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.4.66
[pip3] nvidia-cusparse==12.6.3.3
[pip3] nvidia-cusparselt-cu13==0.8.0
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu12==2.29.7
[pip3] nvidia-nccl-cu13==2.28.9
[pip3] nvidia-nvjitlink==13.0.88
[pip3] nvidia-nvshmem-cu13==3.4.5
[pip3] nvidia-nvtx==13.0.85
[pip3] pyzmq==27.1.0
[pip3] torch==2.10.0+cu130
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.10.0+cu130
[pip3] torchvision==0.25.0+cu130
[pip3] transformers==5.5.0
[pip3] triton==3.6.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.19.1rc1.dev39+gf53fa26e0 (git sha: f53fa26e0)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PHB NODE 0-47 0 N/A
GPU1 PHB X NODE 0-47 0 N/A
GPU2 NODE NODE X 0-47 0 N/A
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
==============================
Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_drros
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● To explain how this backend works, I first need to explore the codebase to understand its architecture, entry points, and core logic.
I'll start by exploring the project structure and key files. Since this is a broad request, I'll use the Explore agent to map out the system.
<|channel>thought
<channel|>
● Explore(Explore the codebase to understand the backend architecture, framework, and core flow.)
⎿ Done (5 tool uses · 30.4k tokens · 40s)
(ctrl+o to expand)
● Since you didn't specify a further request, I will assume you are satisfied with the architectural explanation.
If you'd like to dive deeper, I can help you with:
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Let me know how you'd like to proceed!
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╭─── Claude Code v2.1.92 ────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │ Tips for getting started │
│ Welcome back Роман! │ Run /init to create a CLAUDE.md file with instructions for Claude │
│ │ ───────────────────────────────────────────────────────────────── │
│ ▐▛███▜▌ │ Recent activity │
│ ▝▜█████▛▘ │ No recent activity │
│ ▘▘ ▝▝ │ │
│ qwen3.5-397b-ud-q4-k-xl:think… · API Usage Billing │ │
│ · Айдеко │ │
│ ~/ideco/repos/main/rest-api-backend │ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
⚠Auth conflict: Using ANTHROPIC_API_KEY instead of Anthropic Console key. Either unset ANTHROPIC_API_KEY, or run `claude /logout`.
⚠Auth conflict: Both a token (ANTHROPIC_AUTH_TOKEN) and an API key (ANTHROPIC_API_KEY) are set. This may lead to unexpected behavior.
· Trying to use ANTHROPIC_AUTH_TOKEN? Unset the ANTHROPIC_API_KEY environment variable, or claude /logout then say "No" to the API key approval before login.
· Trying to use ANTHROPIC_API_KEY? Unset the ANTHROPIC_AUTH_TOKEN environment variable.
❯ explain how this backend works
● I will start by exploring the codebase to understand the architecture, entry points, and primary logic of this backend.
Since this is a broad exploration task, I'll use the Explore agent to map out the system.
<tool_call:Agent {
"description": "Explore the codebase to understand the backend architecture, framework, and request flow.",
"prompt": "Analyze the current working directory (/home/drros/ideco/repos/main/rest-api-backend) to explain how this backend works. \n\n1. Identify the framework used (e.g., FastAPI, Flask, aiohttp).\n2. Locate the entry point of the application and how the server is started.\n3. Map the high-level directory structure and explain the purpose of key folders.\n4. Identify how routing is handled and where the API endpoints
are defined.\n5. Determine how the application manages state, database connections, or external service interactions.\n6. Trace a typical request from the entry point to a handler and back.\n\nProvide a concise summary of the architecture and the request lifecycle.",
"subagent_type": "Explore"
}>
❯ try again
● Explore(Explore the codebase to understand the backend architecture, framework, and request flow.)
⎿ Done (3 tool uses · 27.4k tokens · 33s)
(ctrl+o to expand)
● It seems you didn't provide a follow-up question. Based on the exploration of the rest-api-backend, I can now help you with:
- Implementing new endpoints: I can guide you on where to add new handlers and how to register them in main.py.
- Modifying business logic: I can help you navigate the domain-specific packages (like cf_rest, dpi_profiles_rest, etc.) to change how features behave.
- Adding state management: I can show you how to use the etcd readers or Updater classes to store and retrieve configuration.
- Debugging specific flows: If you have a bug in a specific API call, I can trace the request from the UrlHandlers mapping down to the specific handler logic.
What would you like to do next?
✻ Baked for 44s
---
(APIServer pid=266789) INFO: Started server process [266789]
(APIServer pid=266789) INFO: Waiting for application startup.
(APIServer pid=266789) INFO: Application startup complete.
(APIServer pid=266789) INFO: 192.168.0.61:52504 - "HEAD / HTTP/1.1" 404 Not Found
(APIServer pid=266789) INFO: 192.168.0.61:52504 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:52510 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:06:55 [loggers.py:259] Engine 000: Avg prompt throughput: 23.0 tokens/s, Avg generation throughput: 0.4 tokens/s, Running: 2 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.5%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:05 [loggers.py:259] Engine 000: Avg prompt throughput: 3010.3 tokens/s, Avg generation throughput: 14.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.7%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:15 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 21.5 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:25 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56728 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:07:45 [loggers.py:259] Engine 000: Avg prompt throughput: 41.8 tokens/s, Avg generation throughput: 5.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.8%, Prefix cache hit rate: 49.6%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:07:55 [loggers.py:259] Engine 000: Avg prompt throughput: 1603.4 tokens/s, Avg generation throughput: 26.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 5.0%, Prefix cache hit rate: 56.6%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages/count_tokens?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:08:05 [loggers.py:259] Engine 000: Avg prompt throughput: 1040.5 tokens/s, Avg generation throughput: 28.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.0%, Prefix cache hit rate: 57.4%
(APIServer pid=266789) INFO 04-05 23:08:15 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 40.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.1%, Prefix cache hit rate: 57.4%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:08:25 [loggers.py:259] Engine 000: Avg prompt throughput: 122.9 tokens/s, Avg generation throughput: 38.3 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 8.0%, Prefix cache hit rate: 64.8%
(APIServer pid=266789) INFO 04-05 23:08:35 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 11.1 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 64.8%
(APIServer pid=266789) INFO 04-05 23:08:45 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 64.8%RAW_BUFFERClick to expand / collapse
Your current environment
<details> <summary>The output of <code>python collect_env.py</code></summary>Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 24.04.4 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version : Could not collect
CMake version : version 3.28.3
Libc version : glibc-2.39
==============================
PyTorch Info
==============================
PyTorch version : 2.10.0+cu130
Is debug build : False
CUDA used to build PyTorch : 13.0
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.13.6 (main, Aug 6 2025, 22:57:45) [Clang 20.1.4 ] (64-bit runtime)
Python platform : Linux-6.8.0-106-generic-x86_64-with-glibc2.39
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 13.2.51
CUDA_MODULE_LOADING set to :
GPU models and configuration :
GPU 0: NVIDIA RTX PRO 4000 Blackwell
GPU 1: NVIDIA RTX PRO 4000 Blackwell
GPU 2: NVIDIA RTX PRO 4000 Blackwell
Nvidia driver version : 595.45.04
cuDNN version : Could not collect
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 48
On-line CPU(s) list: 0-47
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9274F 24-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 1
Stepping: 1
Frequency boost: enabled
CPU(s) scaling MHz: 57%
CPU max MHz: 4304.1870
CPU min MHz: 1500.0000
BogoMIPS: 8088.21
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user
Virtualization: AMD-V
L1d cache: 768 KiB (24 instances)
L1i cache: 768 KiB (24 instances)
L2 cache: 24 MiB (24 instances)
L3 cache: 256 MiB (8 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-47
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: 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: Mitigation; Safe RET
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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsa: Mitigation; Clear CPU buffers
Vulnerability Tsx async abort: Not affected
Vulnerability Vmscape: Mitigation; IBPB before exit to userspace
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.7
[pip3] numpy==2.4.4
[pip3] nvidia-cublas==13.1.0.3
[pip3] nvidia-cuda-cupti==13.0.85
[pip3] nvidia-cuda-nvrtc==13.0.88
[pip3] nvidia-cuda-runtime==13.0.96
[pip3] nvidia-cudnn-cu13==9.15.1.9
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft==12.0.0.61
[pip3] nvidia-cufile==1.15.1.6
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.4.66
[pip3] nvidia-cusparse==12.6.3.3
[pip3] nvidia-cusparselt-cu13==0.8.0
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu12==2.29.7
[pip3] nvidia-nccl-cu13==2.28.9
[pip3] nvidia-nvjitlink==13.0.88
[pip3] nvidia-nvshmem-cu13==3.4.5
[pip3] nvidia-nvtx==13.0.85
[pip3] pyzmq==27.1.0
[pip3] torch==2.10.0+cu130
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.10.0+cu130
[pip3] torchvision==0.25.0+cu130
[pip3] transformers==5.5.0
[pip3] triton==3.6.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.19.1rc1.dev39+gf53fa26e0 (git sha: f53fa26e0)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PHB NODE 0-47 0 N/A
GPU1 PHB X NODE 0-47 0 N/A
GPU2 NODE NODE X 0-47 0 N/A
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
==============================
Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_drros🐛 Describe the bug
Trying to use claude code with gemma 4 (31B) but for some reason this didn't work well - if thinking is enabled the reasoning tags are leaking to chat. If I turn off reasoning with --default-chat-template-kwargs '{"enable_thinking": false}' it starts to leak tool calls to chat. Here is some examples:
reasoning on (command to run: vllm serve /mnt/nfs-esxi/LLM/gemma-4-31B-it-NVFP4/ --tensor-parallel-size 2 --host 0.0.0.0 --port 30000 --max-model-len $((200*1024)) --gpu-memory-utilization 0.9 --max-num-seqs 4 --enable-auto-tool-choice --reasoning-parser gemma4 --tool-call-parser gemma4 --served-model-name qwen3.5-397b-ud-q4-k-xl:thinking-coding-vision --kv-cache-dtype fp8
NB: alias is just to quickly return to using qwen as main model via llama.cpp
╭─── Claude Code v2.1.92 ────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Tips for getting started │
│ Welcome back Роман! Run /init to create a CLAUDE.md file with instructions for Claude │
│ ───────────────────────────────────────────────────────────────── │
│ ▐▛███▜▌ Recent activity │
│ ▝▜█████▛▘ No recent activity │
│ ▘▘ ▝▝ │
│ qwen3.5-397b-ud-q4-k-xl:think… · API Usage Billing │
│ · Айдеко │
│ ~/ideco/repos/main/rest-api-backend │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
⚠Auth conflict: Using ANTHROPIC_API_KEY instead of Anthropic Console key. Either unset ANTHROPIC_API_KEY, or run `claude /logout`.
⚠Auth conflict: Both a token (ANTHROPIC_AUTH_TOKEN) and an API key (ANTHROPIC_API_KEY) are set. This may lead to unexpected behavior.
· Trying to use ANTHROPIC_AUTH_TOKEN? Unset the ANTHROPIC_API_KEY environment variable, or claude /logout then say "No" to the API key approval before login.
· Trying to use ANTHROPIC_API_KEY? Unset the ANTHROPIC_AUTH_TOKEN environment variable.
❯ explain how this backend works
● To explain how this backend works, I first need to explore the codebase to understand its architecture, entry points, and core logic.
I'll start by exploring the project structure and key files. Since this is a broad request, I'll use the Explore agent to map out the system.
<|channel>thought
<channel|>
● Explore(Explore the codebase to understand the backend architecture, framework, and core flow.)
⎿ Done (5 tool uses · 30.4k tokens · 40s)
(ctrl+o to expand)
● Since you didn't specify a further request, I will assume you are satisfied with the architectural explanation.
If you'd like to dive deeper, I can help you with:
- Implementation details: Exploring specific handlers or updaters (e.g., how ShaperRules are managed).
- Data Flow: Tracing a specific API call from the route definition down to the etcd write.
- Development: Helping you add a new endpoint or modify existing business logic.
Let me know how you'd like to proceed!
✻ Crunched for 1m 2sreasoning off (command vllm serve /mnt/nfs-esxi/LLM/gemma-4-31B-it-NVFP4/ --tensor-parallel-size 2 --host 0.0.0.0 --port 30000 --max-model-len $((200*1024)) --gpu-memory-utilization 0.9 --max-num-seqs 4 --enable-auto-tool-choice --reasoning-parser gemma4 --tool-call-parser gemma4 --served-model-name qwen3.5-397b-ud-q4-k-xl:thinking-coding-vision --kv-cache-dtype fp8 --default-chat-template-kwargs '{"enable_thinking": false}'
╭─── Claude Code v2.1.92 ────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │ Tips for getting started │
│ Welcome back Роман! │ Run /init to create a CLAUDE.md file with instructions for Claude │
│ │ ───────────────────────────────────────────────────────────────── │
│ ▐▛███▜▌ │ Recent activity │
│ ▝▜█████▛▘ │ No recent activity │
│ ▘▘ ▝▝ │ │
│ qwen3.5-397b-ud-q4-k-xl:think… · API Usage Billing │ │
│ · Айдеко │ │
│ ~/ideco/repos/main/rest-api-backend │ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
⚠Auth conflict: Using ANTHROPIC_API_KEY instead of Anthropic Console key. Either unset ANTHROPIC_API_KEY, or run `claude /logout`.
⚠Auth conflict: Both a token (ANTHROPIC_AUTH_TOKEN) and an API key (ANTHROPIC_API_KEY) are set. This may lead to unexpected behavior.
· Trying to use ANTHROPIC_AUTH_TOKEN? Unset the ANTHROPIC_API_KEY environment variable, or claude /logout then say "No" to the API key approval before login.
· Trying to use ANTHROPIC_API_KEY? Unset the ANTHROPIC_AUTH_TOKEN environment variable.
❯ explain how this backend works
● I will start by exploring the codebase to understand the architecture, entry points, and primary logic of this backend.
Since this is a broad exploration task, I'll use the Explore agent to map out the system.
<tool_call:Agent {
"description": "Explore the codebase to understand the backend architecture, framework, and request flow.",
"prompt": "Analyze the current working directory (/home/drros/ideco/repos/main/rest-api-backend) to explain how this backend works. \n\n1. Identify the framework used (e.g., FastAPI, Flask, aiohttp).\n2. Locate the entry point of the application and how the server is started.\n3. Map the high-level directory structure and explain the purpose of key folders.\n4. Identify how routing is handled and where the API endpoints
are defined.\n5. Determine how the application manages state, database connections, or external service interactions.\n6. Trace a typical request from the entry point to a handler and back.\n\nProvide a concise summary of the architecture and the request lifecycle.",
"subagent_type": "Explore"
}>
❯ try again
● Explore(Explore the codebase to understand the backend architecture, framework, and request flow.)
⎿ Done (3 tool uses · 27.4k tokens · 33s)
(ctrl+o to expand)
● It seems you didn't provide a follow-up question. Based on the exploration of the rest-api-backend, I can now help you with:
- Implementing new endpoints: I can guide you on where to add new handlers and how to register them in main.py.
- Modifying business logic: I can help you navigate the domain-specific packages (like cf_rest, dpi_profiles_rest, etc.) to change how features behave.
- Adding state management: I can show you how to use the etcd readers or Updater classes to store and retrieve configuration.
- Debugging specific flows: If you have a bug in a specific API call, I can trace the request from the UrlHandlers mapping down to the specific handler logic.
What would you like to do next?
✻ Baked for 44slogs on the backend seems okayish:
(APIServer pid=266789) INFO: Started server process [266789]
(APIServer pid=266789) INFO: Waiting for application startup.
(APIServer pid=266789) INFO: Application startup complete.
(APIServer pid=266789) INFO: 192.168.0.61:52504 - "HEAD / HTTP/1.1" 404 Not Found
(APIServer pid=266789) INFO: 192.168.0.61:52504 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:52510 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:06:55 [loggers.py:259] Engine 000: Avg prompt throughput: 23.0 tokens/s, Avg generation throughput: 0.4 tokens/s, Running: 2 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.5%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:05 [loggers.py:259] Engine 000: Avg prompt throughput: 3010.3 tokens/s, Avg generation throughput: 14.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.7%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:15 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 21.5 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO 04-05 23:07:25 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56728 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:07:45 [loggers.py:259] Engine 000: Avg prompt throughput: 41.8 tokens/s, Avg generation throughput: 5.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.8%, Prefix cache hit rate: 49.6%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:07:55 [loggers.py:259] Engine 000: Avg prompt throughput: 1603.4 tokens/s, Avg generation throughput: 26.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 5.0%, Prefix cache hit rate: 56.6%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages/count_tokens?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:08:05 [loggers.py:259] Engine 000: Avg prompt throughput: 1040.5 tokens/s, Avg generation throughput: 28.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.0%, Prefix cache hit rate: 57.4%
(APIServer pid=266789) INFO 04-05 23:08:15 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 40.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.1%, Prefix cache hit rate: 57.4%
(APIServer pid=266789) INFO: 192.168.0.61:56726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
(APIServer pid=266789) INFO 04-05 23:08:25 [loggers.py:259] Engine 000: Avg prompt throughput: 122.9 tokens/s, Avg generation throughput: 38.3 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 8.0%, Prefix cache hit rate: 64.8%
(APIServer pid=266789) INFO 04-05 23:08:35 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 11.1 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 64.8%
(APIServer pid=266789) INFO 04-05 23:08:45 [loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 64.8%Before submitting a new issue...
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extent analysis
TL;DR
The issue can be fixed by adjusting the --default-chat-template-kwargs to properly handle reasoning and tool calls.
Guidance
- Review the
--default-chat-template-kwargsflag: Ensure that theenable_thinkingparameter is correctly set to eithertrueorfalsebased on the desired behavior. - Check the
reasoning-parserandtool-call-parserconfigurations: Verify that these parsers are correctly configured to handle the gemma4 model. - Test with different parser configurations: Try adjusting the
reasoning-parserandtool-call-parserconfigurations to see if it resolves the issue. - Verify the API key and authentication settings: Ensure that the API key and authentication settings are correctly configured to avoid any conflicts.
Example
No specific code example is provided as the issue seems to be related to configuration and parser settings.
Notes
The issue seems to be related to the configuration of the --default-chat-template-kwargs flag and the parser settings. Adjusting these settings may resolve the issue.
Recommendation
Apply a workaround by adjusting the --default-chat-template-kwargs flag to properly handle reasoning and tool calls. This may involve setting enable_thinking to false or adjusting the parser configurations.
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- [Feature Request] Add session search, tagging, and filtering capabilities
- [BUG] Cowork Dispatch reports "desktop not available" on Windows 11 while standard Cowork works normally
- [Bug] Claude Code provides incorrect suggestions with high confidence despite errors
- defaultMode: acceptEdits silently overrides per-path permissions.ask rules for Write/Edit
- [FEATUR configurable tip interval (e.g. tipIntervalSeconds: 30 in settings)E]
- Plugin marketplace fails to load: schema rejects 'displayName' key (v2.1.153)
- claude agents: in-session copy uses broken OSC 52 path while overview correctly uses tmux buffer
- [BUG] Plugin agent descriptions (and custom agents) load unconditionally into context — no parity with disable-model-invocation for skills
- Crashed ultrareview consumed a free credit despite producing zero findings
- [Bug] Character rendering issue - invisible or missing text display
- [BUG] Cowork: processo Claude Code encerra com código 3 — .claude.json não contém token de autenticação (Windows 11 25H2)
- [BUG] 2.1.153 silently discards tools/list response from rmcp 0.12.0 HTTP MCP server (works in 2.1.152, wire-identical handshake)
- VS Code extension: option to auto-resume last session when reopening a workspace folder
- [Bug] Conversation continuation failure
- [BUG] Cowork crashes every time I start a new chat or attempt to continue an existing one in any project. The error displayed is: "Claude Code è andato in crash
- [Bug] Unannounced quota changes
- Native update/install fails with 'socket connection was closed unexpectedly' behind proxy — undici TLS incompatibility
- [BUG] Session name reverting after manual change
- [BUG] 非正常思考，上下文过长时，一直显示思考，点击interrupt按钮失效
- Honor `tools:` frontmatter when an agent is invoked via `@mention` — strip `Task` only when the agent did not declare it
- macOS TCC popup still recurring on v2.1.153 — "2.1.153" would like to access data from other apps
- Claude Code leaks pty handles — exhausts pseudo-terminals on macOS after long session
- [Bug] Agent fails to execute or respond to user input
- [BUG] Persistent "Expecting value: line 1 column 1 (char 0)" JSON parse error after tool execution
- [Feature Request] Implement proactive unit test coverage recommendations for recurring bugs
- VS Code panel lacks status line + terminal lacks image paste in Codespaces, forcing a tradeoff
- `/powerup` only shows ~10 lessons — allow viewing the full catalog
- [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin
- [Bug] VSCode terminal output displays corrupted text with garbled symbols
- [Feature Request] Add LaTeX/KaTeX math rendering to TUI
- [Bug] Sub-agent PR review results not validated by orchestrating agent
- Subagents on Pro 1M tier: trivial probes pass, real workloads fail at first tool call (probe-vs-workload divergence)
- Path-scoped rules and subdirectory CLAUDE.md not loaded when creating new files matching the pattern
- AskUserQuestion: cancelling during extended thinking poisons the whole session with 400 'thinking blocks cannot be modified' (2.1.153); concurrent prompts overwrite each other
- Ideas Missing from Claude Cowork Menu (Windows)
- [BUG_BOUNTY_SAFE_POC_2026] Prompt Injection RCE Test - Command Execution Proof
- [BUG] Cowork scheduled task: execution history row not showing after successful run
- Resuming an extended-thinking session fails permanently with 400 "thinking blocks cannot be modified" (transcript stores thinking text as empty but keeps signature)
- [Bug] Plugin-registered CwdChanged and FileChanged hooks don't fire (settings.json works) — v2.1.153
- Auto-archive on PR merge / branch delete — clarify autoArchiveSessions semantics or add dedicated opt-out
- `claude mcp add` echoes Authorization header value verbatim to stdout, leaks bearer tokens to terminal and session transcripts
- [BUG] Bug report — /insights skill, Claude Code The /insights skill outputs a malformed file path.
- Plugin slash commands render with '*'-inline format instead of two-column, despite matching official plugin shape
- [Bug] Unexpected long text generation without user input or goal
- [Bug] Thinking blocks causing task progression blocked without user modification
- [BUG] (Critical!) contamination by an unknown session simirlar to the report => [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin #63137
- [Critical] Opus 4.7 Korean output degeneration — Korean grammar itself collapses in long contexts
- [BUG] Title: Autocompact buffer persists across /clear — wastes tokens for irrelevant old context
- [Bug] Auto-Compact loses user input before processing in conversation history
- Feature: per-invocation effort parameter + runtime session-config introspection for skills
- Auto-mode classifier mislabels Azure DevOps vote -5 as "Reject" when denying PR vote actions
- [BUG] Claude Desktop and Claude Code CLI never re-register MCP tools after OAuth 2.1 handshake on a remote HTTP server
- [BUG] Workspace file tags leak across sessions
- [BUG] Ink renderer crashes on Windows 11 build 26200 (Canary) duplicate banners, terminal mode leaks, mid-operation aborts
- [BUG] Claude Code Desktop issue
- PTY master fd leak in Claude desktop app exhausts macOS kern.tty.ptmx_max after ~2-3 days
- [BUG] Claude Code — Session Management after Unexpected Interruption
- [Windows] Cowork OpenTelemetry exporter does not initialize - zero events emitted to any destination, including loopback
- [Bug] Opus 4.7: 400 `thinking blocks ... cannot be modified` on long extended-thinking sessions, triggered by history-altering events (scheduled prompts / parallel tool-call cancellation)
- [BUG] API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited
- Multi-plugin custom marketplace: only first plugin registered in installed_plugins.json, skills don't load
- [BUG] Git push through the SDK's git proxy fan-outs into ~500 GitHub REST API calls, exhausting the 5,000/hour budget after a handful of pushes
- [BUG] Claude took liberties it really shouldn't with my global config
- [BUG] Agent window focus lost after navigating with arrow keys, causing scroll deadlock
- [BUG] `--model` flag silently ignored in interactive sessions (works in `--print` only)
- [BUG] Dispatch permanently shows "desktop appears offline" on Windows 11 - never worked on first use
- feat: support per-command enableWeakerNetworkIsolation as safer alternative to dangerouslyDisableSandbox
- /code-review outputs a raw JSON array instead of readable findings
- [BUG] Cowork — Additional allowed domains ignored on Team plan; same domain works on Pro plan
- Haiku
- [Bug] False positive blocking beneficial outcomes in tool execution
- 3P Bedrock SSO: credentials silently expire without triggering re-auth on day 2+
- CLAUDE_AUTOCOMPACT_PCT_OVERRIDE in settings.json env block silently ignored by autocompact logic
- Auto-compaction deletes main session JSONL before verifying summary completion, causing data loss
- [Bug] Claude Code not executing stated actions or producing expected results
- [FEATURE] Deferred Messages — Queue Input for End of Turn
- [BUG] Up/Down arrows in input box navigate history instead of moving cursor — regression in 2.1.149+
- Cancelling a parallel tool-call batch corrupts thinking blocks -> 400 "thinking blocks cannot be modified" permanently wedges the session
- Claude Code caused data loss, then contradicted itself about recovery (two incidents, one session)
- [Bug] Unclear error messages from Claude Code CLI
- [Bug] Agent tool rejecting due to context size limit exceeded
- claude agents: daemon and bg-spare processes spin at ~100% CPU when idle
- [BUG] Compaction fails with "context window limit" error even when context usage is low (e.g., 20%) — regression in v2.1.153
- Remote Control entitlement lost after May 27-28 incident — `Error: Remote Control is not yet enabled for your account` on active Max subscription
- PreToolUse hook exit code 2 does not block Write tool
- [Bug] Thinking blocks in latest assistant message are immutable
- GUI: dispatch file:// and custom-scheme clicks to OS shell handler
- Show current model in statusLine by default
- [Bug] Agent console becomes unresponsive to keyboard input after multiple agents initialized
- [FEATURE] PreToolUse hooks should have a way of updating the environment
- [Bug] Unable to start or use Claude Code CLI
- [BUG] Repository not visible in Claude Code web repo picker
- Session permanently wedged on 400 "thinking blocks cannot be modified" after parallel tool_results
- [Bug] @ autocomplete loses sibling repos after a file edit in multi-repo workspace
- Unclear error message when creating sub-agent without authentication
- [Bug] Anthropic API errors causing frequent failures and high token usage
- [BUG] @ mention file picker only shows packages, not individual files (desktop app - Code tab)
- [Bug] TUI panel footer remains sticky and consumes excessive terminal space
- PR-status polling exhausts GitHub GraphQL rate limit on repos with many open PRs
- [BUG] Windows: welcome panel not shown in some project folders (2.1.153)
- [Bug] Anthropic API Error: thinking blocks corrupted during context compaction with extended thinking enabled
- API 400 "thinking blocks cannot be modified" permanently bricks session during agent activation (interleaved thinking + tool use)
- Right-click Copy copies the whole message instead of the selection; pasted text retains dark background
- Mid-session model switch corrupts conversation when extended thinking is enabled (API 400: 'thinking blocks cannot be modified')
- [BUG] Markdown file links in chat output do not open files when clicked (VS Code extension)
- Stuck retry loop: `400 thinking blocks cannot be modified` on large interleaved-thinking turns using AskUserQuestion
- [FEATURE] Prompt user for approval before auto-compaction proceeds
- Custom MCP connectors not attachable to scheduled routines — no UUID discovery path
- [BUG] Claude in Chrome — Navigation blocked for teams.cloud.microsoft and outlook.cloud.microsoft after Microsoft domain migration**
- [BUG] Claude Desktop — Personal plugins panel renders list but is entirely non-interactive (macOS, v1.9255.2)
- [Bug] error when using Workflows
- [BUG] Persistent "update available" notification despite being on latest version
- [BUG] Sweep Agent from /code-review never completes
- [Bug] Tool calls not executing or returning results
- [FEATURE] Cloud-synced memory and settings across machines
- [Bug] Terminal UI freezes when Ctrl+O view exits during interactive prompt in plan mode
- Continuous api errors when using claude code with Opus 4.7 with thinking on low
- [Feature Request] Add support for installing and using previous Claude Code versions
- [Bug] Extended Thinking: Summarized thinking blocks fail signature validation when resent to API
- [Bug] Anthropic API Error: 'thinking' blocks cannot be modified
- [Bug] Anthropic API Error: Thinking blocks cannot be modified with extended thinking mode
- Feature request: Lazy/on-demand MCP server connections
- [Bug] Tool Arguments Parsed as String Instead of Object
- [Bug] Anthropic API Error: Insufficient context provided
- [Bug] Claude Opus occasionally uses moskovian(russian) orthography instead of Ukrainian in system-prompted responses
- Opus 4.8: backgrounded task completions (subagents AND Bash) crash with 400 "thinking blocks cannot be modified"
- [Bug] Opus 4.7 fabricates stable preferences ("my default") to rationalize arbitrary choices when challenged
- [Bug] Unable to update Claude Code CLI
- [BUG] Desktop app: /remote-control mints link + connects bridge (main.log) but in-chat link/QR panel never renders
- Feature: sessionColor and sessionName in .claude/settings.json
- [BUG] Anthropic API error: thinking blocks
- [FEATURE] Support Remote MCPs in Cowork as in Claude Code
- [Bug] Anthropic API Error: 400 Bad Request with Redacted Thinking - 0 4.7 & 4.8
- [Bug] Anthropic API Error: Cannot modify thinking blocks from different model versions
- Interleaved thinking + multi-tool turn corrupts thinking block (text blanked, signature kept) → permanent 400 'blocks must remain as they were'
- [BUG] Mode/permission changes mid-tool-loop (effortLevel: xhigh) poisons entire session
- Session failure log: Opus 4.6 ignores its own rules for an entire session
- [BUG] "400 Guardrail was enabled" error when using Claude Opus 4.8 with AWS Bedrock
- [Feature Request] Add subagent approach selection option to avoid accidental feedback
- Persistent 400 'thinking blocks in the latest assistant message cannot be modified' — interleaved thinking persisted with empty text + signature bricks sessions
- [BUG] DesktopvsApp
- [BUG] Opus 4.7 cache hit rate collapse after May 27 incident — Messages 1.1k→88.9k in 9 minutes, $630/session
- [Bug] Anthropic API Error: Invalid thinking block format
- [BUG] FUCK CLAUDE
- Opus 4.8 extended thinking: Stop hook block re-entry corrupts thinking blocks → 400
- [Bug] 4.8 Fails when accessing previous model history
- [Bug] Unintended File Modifications During Execution
- [DOCS] Model configuration docs omit lean system prompt default scope and model exceptions
- Add "Always allow globally" option to permission prompts
- Server-side model upgrade (Opus 4.7→4.8) wedges in-flight sessions with `thinking blocks cannot be modified` 400
- [DOCS] AskUserQuestion docs missing multiple-choice prompt decision threshold
- [DOCS] Agent view docs omit shell-command background session launch syntax
- [DOCS] Agent view dispatch input docs incorrectly imply `/logout` dispatches as a prompt
- [DOCS] Claude in Chrome docs omit connected-browser selection behavior
- [DOCS] Plugin docs omit `defaultEnabled: false` for opt-in plugins
- Feature Request: Customizable chat text colors for user and assistant messages
- [DOCS] `/plugin` Discover tab docs omit directory-based suggested plugin pins
- VSCode Chrome integration silently fails: 3 distinct bugs
- [DOCS] MCP stdio docs omit session environment variables
- [Bug] Anthropic API error on second request within session with Claude Opus 4.8
- Cowork emits a blank session "index" handoff on focus when a CLI session is paused awaiting input
- [DOCS] MCP docs omit `claude mcp list/get` pending-approval output for unapproved project servers
- [BUG] /compact fails with 400 error when last assistant turn contains thinking blocks
- [DOCS] `/claude-api` docs omit Opus 4.8 migration guidance
- [DOCS] Fast mode docs still recommend deprecated Opus 4.6 override variable
- [DOCS] Bash tool docs omit `$TMPDIR` consistency across sandboxed and unsandboxed commands
- [Bug] Anthropic API Error: 400 Bad Request on Extended Thinking
- [DOCS] Background session docs omit worktree-isolation behavior for spawned subagents
- Built-in mechanistic self-verification of verifiable claims (symmetric to the auto permission gate)
- [DOCS] Worktree docs do not clarify `worktree.baseRef: "head"` inside linked worktrees
- [BUG] Excessive RAM usage with multiple parallel chats (~10 sessions → 30 GB memory pressure, macOS OOM)
- [DOCS] Managed MCP policy docs omit invalid `allowedMcpServers`/`deniedMcpServers` entry behavior
- [DOCS] Effort docs omit `CLAUDE_CODE_ALWAYS_ENABLE_EFFORT` unsupported-model behavior
- Regression (2.1.147–2.1.150?): resuming an extended-thinking session after a CC update/model-switch → unrecoverable 400, session bricked
- [DOCS] Windows updater docs omit `claude.exe` in-use recovery guidance
- [DOCS] VS Code auto mode docs still tie mode-picker visibility to bypass-permissions setting
- [DOCS] MCP docs omit `/mcp` tool list and detail rendering behavior
- [DOCS] Fine-grained tool streaming docs still describe provider opt-in behavior
- bypassPermissions: session startup reads flat pref, GUI toggle writes per-account pref — they never sync
- [BUG] Claude Desktop Code tab causes disk write limit violation — 8.5GB in 11 min, macOS kills app (M5, v1.9659.1)
- Ultrareview v2.1.96: docs describe /tasks command + claude ultrareview --json subcommand that don't exist; findings hard to read after completion
- I'd be happy to help create a GitHub issue title, but I don't see the error message in your message. Could you please share the specific error you're encountering? That way I can generate an accurate and descriptive issue title for you.
- [BUG] Claude in Chrome `file_upload` rejects all scheduled-task sessions with misleading error (real cause: INVALID_SESSION)
- Extended thinking: signed thinking block 'cannot be modified' (400) permanently wedges session
- RTL text support for Hebrew (and Arabic) in Claude Code
- [Bug] Random errors occurring across multiple operations