core/agent: unify provider finish_reason mapping

src/plyngent/agent/finish_reason.py

@@ -0,0 +1,33 @@
+"""Canonical chat-completions ``finish_reason`` vocabulary for provider bridges.
+
+Provider statuses/stops differ (Responses ``status``/``incomplete_details``,
+Anthropic ``stop_reason``, DeepSeek reasoning, …); the agent loop and tool
+execution only understand the chat-completions vocabulary. This module is the
+single mapping point between raw provider reasons and that vocabulary.
+"""
+
+from __future__ import annotations
+
+_LENGTH_REASONS = frozenset({"max_tokens", "max_output_tokens", "length"})
+_CONTENT_FILTER_REASONS = frozenset({"content_filter", "refusal"})
+_TOOL_REASONS = frozenset({"tool_use", "tool_calls"})
+
+
+def chat_finish_reason(reason: str | None, *, has_tool_calls: bool) -> str:
+    """Map a raw provider reason onto the chat ``finish_reason`` vocabulary.
+
+    Canonical values: ``stop``, ``length``, ``content_filter``, ``tool_calls``.
+    Provider-specific stop indicators (``end_turn``, ``stop_sequence``,
+    ``completed``, ``None``, …) collapse to ``stop``.
+    """
+    raw = (reason or "").lower() or None
+    if raw in _LENGTH_REASONS:
+        return "length"
+    if raw in _CONTENT_FILTER_REASONS:
+        return "content_filter"
+    if raw in _TOOL_REASONS or has_tool_calls:
+        return "tool_calls"
+    return "stop"
+
+
+__all__ = ["chat_finish_reason"]

src/plyngent/agent/messages_bridge.py

@@ -228,15 +228,9 @@ def anthropic_stop_to_finish_reason(
     has_tool_calls: bool,
 ) -> str:
     """Map Anthropic ``stop_reason`` to a chat-style finish_reason."""
-    reason = (stop_reason or "").lower() or None
-    if reason == "max_tokens":
-        return "length"
-    if reason in {"refusal", "content_filter"}:
-        return "content_filter"
-    if reason == "tool_use" or has_tool_calls:
-        return "tool_calls"
-    # end_turn, stop_sequence, None, …
-    return "stop"
+    from .finish_reason import chat_finish_reason
+
+    return chat_finish_reason(stop_reason, has_tool_calls=has_tool_calls)
 
 
 def anthropic_usage_to_dict(usage: AnthropicUsage | dict[str, Any] | None) -> dict[str, Any] | None:

src/plyngent/agent/responses_bridge.py

@@ -161,20 +161,20 @@ def responses_status_to_finish_reason(
     has_tool_calls: bool,
 ) -> str:
     """Map Responses ``status`` to a chat-style finish_reason for the agent loop."""
+    from .finish_reason import chat_finish_reason
+
     status = response.status
     status_s = status if isinstance(status, str) else None
     if status_s == "incomplete":
         details = response.incomplete_details
         if details is not UNSET and details is not None:
             raw_reason = details.reason
-            if raw_reason is not UNSET and raw_reason == "content_filter":
-                return "content_filter"
+            if raw_reason is not UNSET:
+                return chat_finish_reason(raw_reason, has_tool_calls=False)
         return "length"
     if status_s in {"failed", "cancelled"}:
         return status_s
-    if has_tool_calls:
-        return "tool_calls"
-    return "stop"
+    return chat_finish_reason(status_s, has_tool_calls=has_tool_calls)
 
 
 def response_to_chat_completion(response: Response) -> ChatCompletionResponse: