[BUG] camel tools with GEMMA 4 in VLLM don t seems to trigger
bugNeeds Triage
### Required prerequisites
- [x] I have read the documentation <https://camel-ai.github.io/camel/camel.html>.
- [x] I have searched the [Issue Tracker](https://github.com/camel-ai/camel/issues) and [Discussions](https://github.com/camel-ai/camel/discussions) that this hasn't already been reported. (+1 or comment there if it has.)
- [x] Consider asking first in a [Discussion](https://github.com/camel-ai/camel/discussions/new).
### What version of camel are you using?
0.2.91a4
### System information
```bash
docker run --runtime nvidia --gpus all -v $(pwd):/template -v ~/.cache/huggingface:/root/.cache/huggingface --env "HF_TOKEN=$HF_TOKEN" -p 8666:8000 --ipc=host vllm/vllm-openai:latest --model __mymodel__/gemma-4 --gpu-memory-utilization 0.85 --max-model-len 131072 --enable-auto-tool-choice --quantization fp8 --kv-cache-dtype fp8 --safetensors-load-strategy lazy --reasoning-parser gemma4 --tool-call-parser gemma4 --chat-template /template/chat_template.jinja
```
with chat template from source (it work way less when i use VLLM exemple) :
```bash
{%- macro format_parameters(properties, required, filter_keys=false) -%}
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
{%- set ns = namespace(found_first=false) -%}
{%- for key, value in properties | dictsort -%}
{%- set add_comma = false -%}
{%- if not filter_keys or key not in standard_keys -%}
{%- if ns.found_first %},{% endif -%}
{%- set ns.found_first = true -%}
{{ key }}:{
{%- if value['description'] -%}
description:<|"|>{{ value['description'] }}<|"|>
{%- set add_comma = true -%}
{%- endif -%}
{%- if value['type'] | upper == 'STRING' -%}
{%- if value['enum'] -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
enum:{{ format_argument(value['enum']) }}
{%- endif -%}
{%- elif value['type'] | upper == 'ARRAY' -%}
{%- if value['items'] is mapping and value['items'] -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
items:{
{%- set ns_items = namespace(found_first=false) -%}
{%- for item_key, item_value in value['items'] | dictsort -%}
{%- if item_value is not none -%}
{%- if ns_items.found_first %},{% endif -%}
{%- set ns_items.found_first = true -%}
{%- if item_key == 'properties' -%}
properties:{
{%- if item_value is mapping -%}
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
{%- endif -%}
}
{%- elif item_key == 'required' -%}
required:[
{%- for req_item in item_value -%}
<|"|>{{- req_item -}}<|"|>
{%- if not loop.last %},{% endif -%}
{%- endfor -%}
]
{%- elif item_key == 'type' -%}
{%- if item_value is string -%}
type:{{ format_argument(item_value | upper) }}
{%- else -%}
type:{{ format_argument(item_value | map('upper') | list) }}
{%- endif -%}
{%- else -%}
{{ item_key }}:{{ format_argument(item_value) }}
{%- endif -%}
{%- endif -%}
{%- endfor -%}
}
{%- endif -%}
{%- endif -%}
{%- if value['nullable'] %}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
nullable:true
{%- endif -%}
{%- if value['type'] | upper == 'OBJECT' -%}
{%- if value['properties'] is defined and value['properties'] is mapping -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
properties:{
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
}
{%- elif value is mapping -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
properties:{
{{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
}
{%- endif -%}
{%- if value['required'] -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
required:[
{%- for item in value['required'] | default([]) -%}
<|"|>{{- item -}}<|"|>
{%- if not loop.last %},{% endif -%}
{%- endfor -%}
]
{%- endif -%}
{%- endif -%}
{%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
type:<|"|>{{ value['type'] | upper }}<|"|>}
{%- endif -%}
{%- endfor -%}
{%- endmacro -%}
{%- macro format_function_declaration(tool_data) -%}
declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
{%- set params = tool_data['function']['parameters'] -%}
{%- if params -%}
,parameters:{
{%- if params['properties'] -%}
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
{%- endif -%}
{%- if params['required'] -%}
required:[
{%- for item in params['required'] -%}
<|"|>{{- item -}}<|"|>
{{- ',' if not loop.last -}}
{%- endfor -%}
],
{%- endif -%}
{%- if params['type'] -%}
type:<|"|>{{- params['type'] | upper -}}<|"|>}
{%- endif -%}
{%- endif -%}
{%- if 'response' in tool_data['function'] -%}
{%- set response_declaration = tool_data['function']['response'] -%}
,response:{
{%- if response_declaration['description'] -%}
description:<|"|>{{- response_declaration['description'] -}}<|"|>,
{%- endif -%}
{%- if response_declaration['type'] | upper == 'OBJECT' -%}
type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
{%- endif -%}
{%- endif -%}
}
{%- endmacro -%}
{%- macro format_argument(argument, escape_keys=True) -%}
{%- if argument is string -%}
{{- '<|"|>' + argument + '<|"|>' -}}
{%- elif argument is boolean -%}
{{- 'true' if argument else 'false' -}}
{%- elif argument is mapping -%}
{{- '{' -}}
{%- set ns = namespace(found_first=false) -%}
{%- for key, value in argument | dictsort -%}
{%- if ns.found_first %},{% endif -%}
{%- set ns.found_first = true -%}
{%- if escape_keys -%}
{{- '<|"|>' + key + '<|"|>' -}}
{%- else -%}
{{- key -}}
{%- endif -%}
:{{- format_argument(value, escape_keys=escape_keys) -}}
{%- endfor -%}
{{- '}' -}}
{%- elif argument is sequence -%}
{{- '[' -}}
{%- for item in argument -%}
{{- format_argument(item, escape_keys=escape_keys) -}}
{%- if not loop.last %},{% endif -%}
{%- endfor -%}
{{- ']' -}}
{%- else -%}
{{- argument -}}
{%- endif -%}
{%- endmacro -%}
{%- macro strip_thinking(text) -%}
{%- set ns = namespace(result='') -%}
{%- for part in text.split('<channel|>') -%}
{%- if '<|channel>' in part -%}
{%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
{%- else -%}
{%- set ns.result = ns.result + part -%}
{%- endif -%}
{%- endfor -%}
{{- ns.result | trim -}}
{%- endmacro -%}
{%- macro format_tool_response_block(tool_name, response) -%}
{{- '<|tool_response>' -}}
{%- if response is mapping -%}
{{- 'response:' + tool_name + '{' -}}
{%- for key, value in response | dictsort -%}
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
{%- if not loop.last %},{% endif -%}
{%- endfor -%}
{{- '}' -}}
{%- else -%}
{{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
{%- endif -%}
{{- '<tool_response|>' -}}
{%- endmacro -%}
{%- set ns = namespace(prev_message_type=None) -%}
{%- set loop_messages = messages -%}
{{- bos_token -}}
{#- Handle System/Tool Definitions Block -#}
{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
{{- '<|turn>system\n' -}}
{#- Inject Thinking token at the very top of the FIRST system turn -#}
{%- if enable_thinking is defined and enable_thinking -%}
{{- '<|think|>\n' -}}
{%- set ns.prev_message_type = 'think' -%}
{%- endif -%}
{%- if messages[0]['role'] in ['system', 'developer'] -%}
{%- if messages[0]['content'] is string -%}
{{- messages[0]['content'] | trim -}}
{%- elif messages[0]['content'] is sequence -%}
{%- for item in messages[0]['content'] -%}
{{- item['text'] | trim + ' '-}}
{%- endfor -%}
{%- endif -%}
{%- set loop_messages = messages[1:] -%}
{%- endif -%}
{%- if tools -%}
{%- for tool in tools %}
{{- '<|tool>' -}}
{{- format_function_declaration(tool) | trim -}}
{{- '<tool|>' -}}
{%- endfor %}
{%- set ns.prev_message_type = 'tool' -%}
{%- endif -%}
{{- '<turn|>\n' -}}
{%- endif %}
{#- Pre-scan: find last user message index for reasoning guard -#}
{%- set ns_turn = namespace(last_user_idx=-1) -%}
{%- for i in range(loop_messages | length) -%}
{%- if loop_messages[i]['role'] == 'user' -%}
{%- set ns_turn.last_user_idx = i -%}
{%- endif -%}
{%- endfor -%}
{#- Loop through messages -#}
{%- for message in loop_messages -%}
{%- if message['role'] != 'tool' -%}
{%- set ns.prev_message_type = None -%}
{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
{#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
{%- set prev_nt = namespace(role=None, found=false) -%}
{%- if loop.index0 > 0 -%}
{%- for j in range(loop.index0 - 1, -1, -1) -%}
{%- if not prev_nt.found -%}
{%- if loop_messages[j]['role'] != 'tool' -%}
{%- set prev_nt.role = loop_messages[j]['role'] -%}
{%- set prev_nt.found = true -%}
{%- endif -%}
{%- endif -%}
{%- endfor -%}
{%- endif -%}
{%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
{%- if not continue_same_model_turn -%}
{{- '<|turn>' + role + '\n' }}
{%- endif -%}
{#- Render reasoning/reasoning_content as thinking channel -#}
{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
{%- endif -%}
{%- if message['tool_calls'] -%}
{%- for tool_call in message['tool_calls'] -%}
{%- set function = tool_call['function'] -%}
{{- '<|tool_call>call:' + function['name'] + '{' -}}
{%- if function['arguments'] is mapping -%}
{%- set ns_args = namespace(found_first=false) -%}
{%- for key, value in function['arguments'] | dictsort -%}
{%- if ns_args.found_first %},{% endif -%}
{%- set ns_args.found_first = true -%}
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
{%- endfor -%}
{%- elif function['arguments'] is string -%}
{{- function['arguments'] -}}
{%- endif -%}
{{- '}<tool_call|>' -}}
{%- endfor -%}
{%- set ns.prev_message_type = 'tool_call' -%}
{%- endif -%}
{%- set ns_tr_out = namespace(flag=false) -%}
{%- if message.get('tool_responses') -%}
{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
{%- for tool_response in message['tool_responses'] -%}
{{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
{%- set ns_tr_out.flag = true -%}
{%- set ns.prev_message_type = 'tool_response' -%}
{%- endfor -%}
{%- elif message.get('tool_calls') -%}
{#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
{%- set ns_tool_scan = namespace(stopped=false) -%}
{%- for k in range(loop.index0 + 1, loop_messages | length) -%}
{%- if ns_tool_scan.stopped -%}
{%- elif loop_messages[k]['role'] != 'tool' -%}
{%- set ns_tool_scan.stopped = true -%}
{%- else -%}
{%- set follow = loop_messages[k] -%}
{#- Resolve tool_call_id to function name -#}
{%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
{%- for tc in message['tool_calls'] -%}
{%- if tc.get('id') == follow.get('tool_call_id') -%}
{%- set ns_tname.name = tc['function']['name'] -%}
{%- endif -%}
{%- endfor -%}
{#- Handle content as string or content-parts array -#}
{%- set tool_body = follow.get('content') -%}
{%- if tool_body is string -%}
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
{%- elif tool_body is sequence and tool_body is not string -%}
{%- set ns_txt = namespace(s='') -%}
{%- for part in tool_body -%}
{%- if part.get('type') == 'text' -%}
{%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
{%- endif -%}
{%- endfor -%}
{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
{%- else -%}
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
{%- endif -%}
{%- set ns_tr_out.flag = true -%}
{%- set ns.prev_message_type = 'tool_response' -%}
{%- endif -%}
{%- endfor -%}
{%- endif -%}
{%- set captured_content -%}
{%- if message['content'] is string -%}
{%- if role == 'model' -%}
{{- strip_thinking(message['content']) -}}
{%- else -%}
{{- message['content'] | trim -}}
{%- endif -%}
{%- elif message['content'] is sequence -%}
{%- for item in message['content'] -%}
{%- if item['type'] == 'text' -%}
{%- if role == 'model' -%}
{{- strip_thinking(item['text']) -}}
{%- else -%}
{{- item['text'] | trim -}}
{%- endif -%}
{%- elif item['type'] == 'image' -%}
{{- '<|image|>' -}}
{%- set ns.prev_message_type = 'image' -%}
{%- elif item['type'] == 'audio' -%}
{{- '<|audio|>' -}}
{%- set ns.prev_message_type = 'audio' -%}
{%- elif item['type'] == 'video' -%}
{{- '<|video|>' -}}
{%- set ns.prev_message_type = 'video' -%}
{%- endif -%}
{%- endfor -%}
{%- endif -%}
{%- endset -%}
{{- captured_content -}}
{%- set has_content = captured_content | trim | length > 0 -%}
{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
{{- '<|tool_response>' -}}
{%- elif not (ns_tr_out.flag and not has_content) -%}
{{- '<turn|>\n' -}}
{%- endif -%}
{%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
{{- '<|turn>model\n' -}}
{%- endif -%}
{%- endif -%}
```
and a uv python isolated camel environment. i use a workforce, a society and a baby agi
### Problem description
i fin-tune gemma using unsloth, then saved it with all it need. i m pretty sure everything fine about it but,
i got the issue with camel and other tool as well.
when i query it from api the tool call look kinda correct so :
```bash
curl -X 'POST' \
'uri/v1/responses' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"model": "__mymodel__/gemma-4",
"input": "What is the weather in Paris today?",
"temperature": 0,
"tool_choice": "auto",
"tools": [
{
"type": "function",
"name": "get_weather",
"description": "Get current weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string"
}
},
"required": ["location"]
}
}
]
}'
```
response :
```bash
{
"id": "resp_8c7a5c3404323551",
"created_at": 1778390214,
"incomplete_details": null,
"instructions": null,
"metadata": null,
"model": "__mymodel__/gemma-4",
"object": "response",
"output": [
{
"id": "rs_952f7a3fee06d8bd",
"summary": [],
"type": "reasoning",
"content": [
{
"text": "1. **Analyze the user's request:** The user is asking for the weather in \"Paris\" today.\n2. **Identify available tools:** The available tool is `get_weather(location: STRING)`.\n3. **Determine the necessary arguments:** The `get_weather` tool requires a `location` argument.\n4. **Extract the argument from the request:** The location specified in the request is \"Paris\".\n5. **Construct the tool call:** Call `get_weather` with `location=\"Paris\"`.\n6. **Format the output:** Generate the tool call in the required JSON format.",
"type": "reasoning_text"
}
],
"encrypted_content": null,
"status": null
},
{
"arguments": "{\"location\": \"Paris\"}",
"call_id": "chatcmpl-tool-b6585741e3bf0611",
"name": "get_weather",
"type": "function_call",
"id": "fc_a0e2cd868c181a8c",
"namespace": null,
"status": "completed"
}
],
"parallel_tool_calls": true,
"temperature": 0,
"tool_choice": "auto",
"tools": [
{
"name": "get_weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string"
}
},
"required": [
"location"
]
},
"strict": null,
"type": "function",
"defer_loading": null,
"description": "Get current weather"
}
],
"top_p": 1,
"background": false,
"max_output_tokens": 131010,
"max_tool_calls": null,
"previous_response_id": null,
"prompt": null,
"reasoning": null,
"service_tier": "auto",
"status": "completed",
"text": null,
"top_logprobs": null,
"truncation": "disabled",
"usage": {
"input_tokens": 62,
"input_tokens_details": {
"cached_tokens": 32,
"input_tokens_per_turn": [],
"cached_tokens_per_turn": []
},
"output_tokens": 170,
"output_tokens_details": {
"reasoning_tokens": 131,
"tool_output_tokens": 0,
"output_tokens_per_turn": [],
"tool_output_tokens_per_turn": []
},
"total_tokens": 232
},
"user": null,
"presence_penalty": 0,
"frequency_penalty": 0,
"kv_transfer_params": null,
"input_messages": null,
"output_messages": null
}
```
### Reproducible example code
any camel society, chat agent or else with default toolkit did not seems to work.
### Traceback
```pytb
```
### Expected behavior
_No response_
### Additional context
_No response_
关闭于 2026-05-10 1 条评论