init

vllm/logprobs.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+from dataclasses import dataclass
+from typing import Optional
+
+
+# We use dataclass for now because it is used for
+# openai server output, and msgspec is not serializable.
+# TODO(sang): Fix it.
+@dataclass
+class Logprob:
+    """Infos for supporting OpenAI compatible logprobs and token ranks.
+
+    Attributes:
+        logprob: The logprob of chosen token
+        rank: The vocab rank of chosen token (>=1)
+        decoded_token: The decoded chosen token index
+    """
+    logprob: float
+    rank: Optional[int] = None
+    decoded_token: Optional[str] = None
+
+
+# {token_id -> logprob} per each sequence group. None if the corresponding
+# sequence group doesn't require prompt logprob.
+PromptLogprobs = list[Optional[dict[int, Logprob]]]
+# {token_id -> logprob} for each sequence group.
+SampleLogprobs = list[dict[int, Logprob]]