[Bugfix]: Fix Gemma4ToolParser.__init__() missing tools parameter#38847
[Bugfix]: Fix Gemma4ToolParser.__init__() missing tools parameter#38847ywang96 merged 1 commit intovllm-project:mainfrom
tools parameter#38847Conversation
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Pull request overview
Fixes a constructor signature mismatch in the Gemma 4 tool-call parser so it conforms to the shared ToolParser interface and can be instantiated with tool definitions when tool calling is enabled.
Changes:
- Update
Gemma4ToolParser.__init__to accept an optionaltoolsparameter. - Pass
toolsthrough to the baseToolParserconstructor. - Import the
Tooltype for the new constructor annotation.
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tools parametertools parameter
The ToolParser base class now accepts (tokenizer, tools) from PR vllm-project#38029, but Gemma4ToolParser only accepted (tokenizer). This caused a 400 error when tool calls were attempted. Signed-off-by: Michael Hospedales <hospedales@me.com>
DCO Fixed. |
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FYI not sure if this is related but I just my image off this commit trying to get gemma4 working and I got the following error: |
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@lucianommartins FYI |
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can you share the commands you ate using? ie. how are you starting the vllm server and how you are performing the inference attempt @Gregory-Pereira ? |
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Container just fails to start: cat sally-gemma4.yaml
apiVersion: v1
kind: Pod
metadata:
name: llm-d-gemma-4
namespace: greg
spec:
containers:
- args:
- google/gemma-4-26B-A4B-it
- --tensor-parallel-size
- "4"
- --distributed-executor-backend
- mp
- --max-model-len
- "32768"
- --gpu-memory-utilization
- "0.90"
- --enable-auto-tool-choice
- --reasoning-parser
- gemma4
- --tool-call-parser
- gemma4
- --language-model-only
- --host
- 0.0.0.0
- --port
- "8000"
env:
- name: HF_TOKEN
valueFrom:
secretKeyRef:
key: HF_TOKEN
name: llm-d-hf-token
- name: XDG_CACHE_HOME
value: /.cache
- name: HF_HOME
value: /.cache/huggingface
- name: TRITON_CACHE_DIR
value: /.cache/triton
- name: TORCHINDUCTOR_CACHE_DIR
value: /.cache/torchinductor
- name: HOME
value: /.cache/home
- name: OTEL_SERVICE_NAME
value: gemma4-vllm-openai
- name: OTEL_EXPORTER_OTLP_ENDPOINT
value: http://otel-collector:4317
- name: OTEL_EXPORTER_OTLP_PROTOCOL
value: grpc
- name: OTEL_TRACES_EXPORTER
value: otlp
- name: OTEL_RESOURCE_ATTRIBUTES
value: service.name=gemma4-vllm-openai,model.name=google/gemma-4-26B-A4B-it
- name: VLLM_NO_USAGE_STATS
value: "1"
- name: DO_NOT_TRACK
value: "1"
image: ghcr.io/llm-d/llm-d-cuda-dev:pr-1082
imagePullPolicy: Always
livenessProbe:
failureThreshold: 6
httpGet:
path: /health
port: http
scheme: HTTP
periodSeconds: 20
successThreshold: 1
timeoutSeconds: 5
name: openai
ports:
- containerPort: 8000
name: http
protocol: TCP
readinessProbe:
failureThreshold: 6
httpGet:
path: /v1/models
port: http
scheme: HTTP
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 5
resources:
limits:
cpu: "16"
memory: 64Gi
nvidia.com/gpu: "4"
requests:
cpu: "16"
memory: 64Gi
nvidia.com/gpu: "4"
securityContext:
allowPrivilegeEscalation: false
capabilities:
drop:
- ALL
runAsNonRoot: true
startupProbe:
failureThreshold: 60
httpGet:
path: /v1/models
port: http
scheme: HTTP
initialDelaySeconds: 20
periodSeconds: 30
successThreshold: 1
timeoutSeconds: 5
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /dev/shm
name: shm
- mountPath: /.cache
name: cache
volumes:
- emptyDir:
medium: Memory
sizeLimit: 16Gi
name: shm
- emptyDir: {}
name: cacheIm building this image from my own ci here: llm-d/llm-d#1082. I previously was pointing at your commit but am now picking the RSNorm changes on main after that. Another thing to note - previously I as un-aware that I need to use transformers v5.5.0+ so I have included that change since then. Will keep you posted as I keep rebuilding and what I find |
Purpose
Fix
Gemma4ToolParser.__init__()to accept thetoolsparameter, matching the baseToolParserinterface.Without this fix, enabling tool calling with
--tool-call-parser gemma4results in:The
toolsparameter was added to the baseToolParserclass in #38029, but theGemma4ToolParserintroduced in #38826 was written against the old signature.Fixes #38837
Test Plan
vllm serve nvidia/Gemma-4-31B-IT-NVFP4 \ --enable-auto-tool-choice \ --tool-call-parser gemma4Send a chat completion request with
toolsspecified — previously returned 400, now works.Test Result
Tested on NVIDIA DGX Spark (GB10, SM 12.1) with
nvidia/Gemma-4-31B-IT-NVFP4. Tool calls are processed correctly after the fix.Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.