Add return_token_ids parameter to OpenAI API endpoints (#22587)
Signed-off-by: Yuge Zhang <scottyugochang@gmail.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Simon Mo <simon.mo@hey.com>
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@@ -74,31 +74,44 @@ def before_generate_case(context: schemathesis.hooks.HookContext, strategy):
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-d '{"messages": [{"role": "assistant", "tool_calls": [{"custom": {"input": "", "name": ""}, "id": "", "type": "custom"}]}]}' \
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http://localhost:8000/v1/chat/completions
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""" # noqa: E501
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if (hasattr(case, "body") and isinstance(case.body, dict)
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and "messages" in case.body
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and isinstance(case.body["messages"], list)
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and len(case.body["messages"]) > 0):
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if hasattr(case, "body") and isinstance(case.body, dict):
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if ("messages" in case.body
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and isinstance(case.body["messages"], list)
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and len(case.body["messages"]) > 0):
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for message in case.body["messages"]:
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if not isinstance(message, dict):
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continue
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for message in case.body["messages"]:
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if not isinstance(message, dict):
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continue
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# Check for invalid file type in tokenize endpoint
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if op.method.lower() == "post" and op.path == "/tokenize":
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content = message.get("content", [])
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if (isinstance(content, list) and len(content) > 0 and any(
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item.get("type") == "file" for item in content)):
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return False
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# Check for invalid file type in tokenize endpoint
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if op.method.lower() == "post" and op.path == "/tokenize":
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content = message.get("content", [])
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if (isinstance(content, list) and len(content) > 0
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and any(
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item.get("type") == "file"
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for item in content)):
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return False
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# Check for invalid tool_calls with non-function types
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tool_calls = message.get("tool_calls", [])
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if isinstance(tool_calls, list):
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for tool_call in tool_calls:
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if isinstance(tool_call, dict):
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if tool_call.get("type") != "function":
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return False
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if "custom" in tool_call:
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return False
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# Sometimes guided_grammar is generated to be empty
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# Causing a server error in EBNF grammar parsing
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# https://github.com/vllm-project/vllm/pull/22587#issuecomment-3195253421
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guided_grammar = case.body.get("guided_grammar")
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if guided_grammar == '':
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# Allow None (will be handled as no grammar)
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# But skip empty strings
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return False
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# Check for invalid tool_calls with non-function types
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tool_calls = message.get("tool_calls", [])
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if isinstance(tool_calls, list):
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for tool_call in tool_calls:
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if isinstance(tool_call, dict):
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if tool_call.get("type") != "function":
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return False
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if "custom" in tool_call:
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return False
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return True
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return strategy.filter(no_invalid_types)
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