core/lmproto: move Responses API into openai package

openai_compatible stays chat-completions-only; OpenAI provider uses lmproto.openai.OpenAIClient.

CLAUDE.md

@@ -30,13 +30,15 @@ All protocol models use `msgspec.Struct` — not dataclasses, not Pydantic. Opti
 
 ```
 lmproto/openai_compatible/     ← Base: model, config, client
+lmproto/openai/                ← OpenAI platform: Responses + chat (extends base)
 lmproto/deepseek/openai_compat/ ← Extends base via inheritance + extra fields
 ```
 
 - **`openai_compatible/model.py`** — tagged chat messages (`SystemChatMessage`, `UserChatMessage`, …), tools, request/response, streaming chunks.
-- **`openai_compatible/responses_model.py`** — OpenAI Responses API (`ResponsesCreateParam`, `Response`, function_call items, stream events).
+- **`openai_compatible/client.py`** — `BaseOpenAIClient` / `OpenAICompatibleClient` via `niquests` async + SSE; `chat_completions`, `models` only (`OpenAIClient` is a compat alias).
-- **`openai_compatible/client.py`** — `BaseOpenAIClient` / `OpenAIClient` via `niquests` async + SSE; `chat_completions`, `models`, `responses` / `get_response` / `delete_response`.
 - **`openai_compatible/config.py`** — `OpenAIConfig` (token + base URL).
+- **`openai/model.py`** — OpenAI Responses API (`ResponsesCreateParam`, `Response`, function_call items, stream events).
+- **`openai/client.py`** — platform `OpenAIClient`: chat completions + `responses` / `get_response` / `delete_response`.
 - **DeepSeek** — `DeepseekOpenAIClient`; models add `reasoning_content`, `prefix`, `ThinkingOptions`. Config default model ids: `deepseek-v4-flash`, `deepseek-v4-pro`.
 
 ### Config (`config/`)
@@ -45,7 +47,7 @@ TOML load/store (`ConfigStore`): `[providers]` tagged union presets, `[database]
 
 ### Runtime (`runtime/`)
 
-`create_client(provider)` maps config `Provider` → protocol client. OpenAI / openai-compatible / deepseek(openai convention) supported; anthropic and deepseek anthropic convention raise `ProviderNotSupportedError`.
+`create_client(provider)` maps config `Provider` → protocol client. OpenAI → `lmproto.openai.OpenAIClient` (Responses-capable); openai-compatible / deepseek(openai convention) → chat-completions clients; anthropic and deepseek anthropic convention raise `ProviderNotSupportedError`.
 
 ### Memory (`memory/`)
 

src/plyngent/lmproto/openai/__init__.py

@@ -0,0 +1,12 @@
+from .client import OpenAIClient as OpenAIClient
+from .model import Response as Response
+from .model import ResponseDeleted as ResponseDeleted
+from .model import ResponseFunctionTool as ResponseFunctionTool
+from .model import ResponseFunctionToolCall as ResponseFunctionToolCall
+from .model import ResponseFunctionToolCallOutput as ResponseFunctionToolCallOutput
+from .model import ResponseOutputMessage as ResponseOutputMessage
+from .model import ResponseOutputText as ResponseOutputText
+from .model import ResponsesCreateParam as ResponsesCreateParam
+from .model import ResponseStreamEvent as ResponseStreamEvent
+from .model import response_function_calls as response_function_calls
+from .model import response_output_text as response_output_text

src/plyngent/lmproto/openai/client.py

@@ -0,0 +1,133 @@
+"""OpenAI platform client: chat completions (compat) + Responses API."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any, Literal, cast, overload
+
+import msgspec
+
+from plyngent.lmproto.openai_compatible.client import BaseOpenAIClient
+from plyngent.lmproto.openai_compatible.config import OpenAIConfig  # noqa: TC001
+from plyngent.lmproto.openai_compatible.model import (  # noqa: TC001
+    ChatCompletionChunk,
+    ChatCompletionResponse,
+    ChatCompletionsParam,
+)
+
+from .model import Response, ResponseDeleted, ResponsesCreateParam, ResponseStreamEvent
+
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator
+
+
+class OpenAIClient(BaseOpenAIClient):
+    """Full OpenAI HTTP client (``/chat/completions`` + ``/responses`` + ``/models``)."""
+
+    response_decoder: msgspec.json.Decoder[Response]
+    response_deleted_decoder: msgspec.json.Decoder[ResponseDeleted]
+    response_event_decoder: msgspec.json.Decoder[ResponseStreamEvent]
+
+    def __init__(self, config: OpenAIConfig) -> None:
+        super().__init__(config)
+        self.response_decoder = msgspec.json.Decoder(Response)
+        self.response_deleted_decoder = msgspec.json.Decoder(ResponseDeleted)
+        self.response_event_decoder = msgspec.json.Decoder(ResponseStreamEvent)
+
+    @overload
+    async def chat_completions(
+        self, param: ChatCompletionsParam, *, stream: Literal[False] = False
+    ) -> ChatCompletionResponse: ...
+
+    @overload
+    async def chat_completions(
+        self, param: ChatCompletionsParam, *, stream: Literal[True]
+    ) -> AsyncIterator[ChatCompletionChunk]: ...
+
+    async def chat_completions(
+        self, param: ChatCompletionsParam, *, stream: bool = False
+    ) -> ChatCompletionResponse | AsyncIterator[ChatCompletionChunk]:
+        param = msgspec.structs.replace(param, stream=stream)
+        data = self.encoder.encode(param)
+        if stream:
+            resp = await self.session.post(
+                "/chat/completions",
+                data=data,
+                headers={"Content-Type": "application/json"},
+                stream=True,
+            )
+            return self._parse_sse(resp)
+        resp = await self.session.post(
+            "/chat/completions",
+            data=data,
+            headers={"Content-Type": "application/json"},
+            stream=False,
+        )
+        body = await self._read_json_body(resp, what="chat completions")
+        return self.decoder.decode(body)
+
+    @overload
+    async def responses(
+        self, param: ResponsesCreateParam, *, stream: Literal[False] = False
+    ) -> Response: ...
+
+    @overload
+    async def responses(
+        self, param: ResponsesCreateParam, *, stream: Literal[True]
+    ) -> AsyncIterator[ResponseStreamEvent]: ...
+
+    async def responses(
+        self, param: ResponsesCreateParam, *, stream: bool = False
+    ) -> Response | AsyncIterator[ResponseStreamEvent]:
+        """Create a model response via OpenAI ``POST /responses``."""
+        param = msgspec.structs.replace(param, stream=stream)
+        data = self.encoder.encode(param)
+        if stream:
+            resp = await self.session.post(
+                "/responses",
+                data=data,
+                headers={"Content-Type": "application/json"},
+                stream=True,
+            )
+            return self._parse_response_sse(resp)
+        resp = await self.session.post(
+            "/responses",
+            data=data,
+            headers={"Content-Type": "application/json"},
+            stream=False,
+        )
+        body = await self._read_json_body(resp, what="responses")
+        return self.response_decoder.decode(body)
+
+    async def get_response(self, response_id: str) -> Response:
+        """Retrieve a stored response via ``GET /responses/{id}``."""
+        resp = await self.session.get(f"/responses/{response_id}", stream=False)
+        body = await self._read_json_body(resp, what="responses")
+        return self.response_decoder.decode(body)
+
+    async def delete_response(self, response_id: str) -> ResponseDeleted:
+        """Delete a stored response via ``DELETE /responses/{id}``."""
+        resp = await self.session.delete(f"/responses/{response_id}", stream=False)
+        body = await self._read_json_body(resp, what="responses")
+        return self.response_deleted_decoder.decode(body)
+
+    async def _parse_response_sse(self, resp: object) -> AsyncIterator[ResponseStreamEvent]:
+        """Yield Responses API SSE events; stop at ``data: [DONE]``."""
+        from plyngent.lmproto.openai_compatible.client import (
+            close_async_response,
+            sse_data_payload,
+        )
+
+        typed = cast("Any", resp)
+        try:
+            await self._ensure_ok(typed, what="responses")
+            async for raw in typed.iter_lines():
+                if not raw:
+                    continue
+                parsed = sse_data_payload(bytes(raw))
+                if parsed is None:
+                    continue
+                if parsed is False:
+                    break
+                yield self.response_event_decoder.decode(parsed)
+        finally:
+            await close_async_response(typed)

src/plyngent/lmproto/openai/model.py

@@ -13,10 +13,9 @@ from typing import Any, Literal, cast
 import msgspec
 from msgspec import UNSET, Struct, field
 
+from plyngent.lmproto.openai_compatible.model import ServiceTier  # noqa: TC001
 from plyngent.typedef import JSONSchema, Unset  # noqa: TC001
 
-from .model import ServiceTier  # noqa: TC001
-
 type ResponseStatus = Literal[
     "completed",
     "failed",
@@ -294,7 +293,7 @@ def response_output_text(response: Response) -> str:
     for raw in response.output:
         if raw.get("type") != "message":
             continue
-        content = raw.get("content")
+        content: list[object] | None = raw.get("content")
         if not isinstance(content, list):
             continue
         for block_obj in content:

src/plyngent/lmproto/openai_compatible/__init__.py

@@ -1,5 +1,6 @@
 from .client import BaseOpenAIClient as BaseOpenAIClient
 from .client import OpenAIClient as OpenAIClient
+from .client import OpenAICompatibleClient as OpenAICompatibleClient
 from .config import OpenAIConfig as OpenAIConfig
 from .model import AnyAssistantToolCall as AnyAssistantToolCall
 from .model import AnyChatMessage as AnyChatMessage
@@ -40,14 +41,3 @@ from .model import ToolFunctionItem as ToolFunctionItem
 from .model import UserChatMessage as UserChatMessage
 from .model import Verbosity as Verbosity
 from .model import VoiceName as VoiceName
-from .responses_model import Response as Response
-from .responses_model import ResponseDeleted as ResponseDeleted
-from .responses_model import ResponseFunctionTool as ResponseFunctionTool
-from .responses_model import ResponseFunctionToolCall as ResponseFunctionToolCall
-from .responses_model import ResponseFunctionToolCallOutput as ResponseFunctionToolCallOutput
-from .responses_model import ResponseOutputMessage as ResponseOutputMessage
-from .responses_model import ResponseOutputText as ResponseOutputText
-from .responses_model import ResponsesCreateParam as ResponsesCreateParam
-from .responses_model import ResponseStreamEvent as ResponseStreamEvent
-from .responses_model import response_function_calls as response_function_calls
-from .responses_model import response_output_text as response_output_text

src/plyngent/lmproto/openai_compatible/client.py

@@ -18,7 +18,6 @@ from .model import (
     ModelsResponse,
     StreamToolCallDelta,
 )
-from .responses_model import Response, ResponseDeleted, ResponsesCreateParam, ResponseStreamEvent
 
 if TYPE_CHECKING:
     from collections.abc import AsyncIterator
@@ -31,7 +30,7 @@ _HTTP_ERROR = 400
 _ERROR_BODY_PREVIEW = 500
 
 
-async def _close_async_response(resp: AsyncResponse) -> None:
+async def close_async_response(resp: AsyncResponse) -> None:
     """Close a streaming response; support sync or async close()."""
     for name in ("aclose", "close"):
         method = getattr(resp, name, None)
@@ -43,6 +42,10 @@ async def _close_async_response(resp: AsyncResponse) -> None:
         return
 
 
+# Internal alias kept for older call sites in this module.
+_close_async_response = close_async_response
+
+
 async def read_response_body(resp: object) -> bytes | str | None:
     """Read response body; niquests ``AsyncResponse.content`` is an async property."""
     content = getattr(resp, "content", None)
@@ -98,14 +101,13 @@ def http_error_message(
 
 
 class BaseOpenAIClient:
+    """Shared OpenAI-compatible HTTP surface (session, models, chat SSE)."""
+
     session: AsyncSession
     encoder: msgspec.json.Encoder
     decoder: msgspec.json.Decoder[ChatCompletionResponse]
     chunk_decoder: msgspec.json.Decoder[ChatCompletionChunk]
     models_decoder: msgspec.json.Decoder[ModelsResponse]
-    response_decoder: msgspec.json.Decoder[Response]
-    response_deleted_decoder: msgspec.json.Decoder[ResponseDeleted]
-    response_event_decoder: msgspec.json.Decoder[ResponseStreamEvent]
 
     def __init__(self, config: OpenAIConfig) -> None:
         self.session = niquests.AsyncSession(
@@ -116,9 +118,6 @@ class BaseOpenAIClient:
         self.decoder = msgspec.json.Decoder(ChatCompletionResponse)
         self.chunk_decoder = msgspec.json.Decoder(ChatCompletionChunk)
         self.models_decoder = msgspec.json.Decoder(ModelsResponse)
-        self.response_decoder = msgspec.json.Decoder(Response)
-        self.response_deleted_decoder = msgspec.json.Decoder(ResponseDeleted)
-        self.response_event_decoder = msgspec.json.Decoder(ResponseStreamEvent)
 
     async def models(self) -> list[str]:
         """List model ids via OpenAI-compatible ``GET /models``.
@@ -164,22 +163,6 @@ class BaseOpenAIClient:
         finally:
             await _close_async_response(resp)
 
-    async def _parse_response_sse(self, resp: AsyncResponse) -> AsyncIterator[ResponseStreamEvent]:
-        """Yield Responses API SSE events; stop at ``data: [DONE]``."""
-        try:
-            await self._ensure_ok(resp, what="responses")
-            async for raw in resp.iter_lines():
-                if not raw:
-                    continue
-                parsed = sse_data_payload(bytes(raw))
-                if parsed is None:
-                    continue
-                if parsed is False:
-                    break
-                yield self.response_event_decoder.decode(parsed)
-        finally:
-            await _close_async_response(resp)
-
     async def _read_json_body(self, resp: object, *, what: str) -> bytes:
         await self._ensure_ok(resp, what=what)
         body = await read_response_body(resp)
@@ -192,7 +175,9 @@ class BaseOpenAIClient:
         return bytes(body)
 
 
-class OpenAIClient(BaseOpenAIClient):
+class OpenAICompatibleClient(BaseOpenAIClient):
+    """Chat Completions only (``POST /chat/completions`` + ``GET /models``)."""
+
     def __init__(self, config: OpenAIConfig) -> None:
         super().__init__(config)
 
@@ -229,50 +214,9 @@ class OpenAIClient(BaseOpenAIClient):
         body = await self._read_json_body(resp, what="chat completions")
         return self.decoder.decode(body)
 
-    @overload
-    async def responses(
-        self, param: ResponsesCreateParam, *, stream: Literal[False] = False
-    ) -> Response: ...
 
-    @overload
+# Backward-compatible alias: many call sites still import OpenAIClient from this package.
-    async def responses(
+OpenAIClient = OpenAICompatibleClient
-        self, param: ResponsesCreateParam, *, stream: Literal[True]
-    ) -> AsyncIterator[ResponseStreamEvent]: ...
-
-    async def responses(
-        self, param: ResponsesCreateParam, *, stream: bool = False
-    ) -> Response | AsyncIterator[ResponseStreamEvent]:
-        """Create a model response via OpenAI ``POST /responses``."""
-        param = msgspec.structs.replace(param, stream=stream)
-        data = self.encoder.encode(param)
-        if stream:
-            resp = await self.session.post(
-                "/responses",
-                data=data,
-                headers={"Content-Type": "application/json"},
-                stream=True,
-            )
-            return self._parse_response_sse(resp)
-        resp = await self.session.post(
-            "/responses",
-            data=data,
-            headers={"Content-Type": "application/json"},
-            stream=False,
-        )
-        body = await self._read_json_body(resp, what="responses")
-        return self.response_decoder.decode(body)
-
-    async def get_response(self, response_id: str) -> Response:
-        """Retrieve a stored response via ``GET /responses/{id}``."""
-        resp = await self.session.get(f"/responses/{response_id}", stream=False)
-        body = await self._read_json_body(resp, what="responses")
-        return self.response_decoder.decode(body)
-
-    async def delete_response(self, response_id: str) -> ResponseDeleted:
-        """Delete a stored response via ``DELETE /responses/{id}``."""
-        resp = await self.session.delete(f"/responses/{response_id}", stream=False)
-        body = await self._read_json_body(resp, what="responses")
-        return self.response_deleted_decoder.decode(body)
 
 
 def merge_stream_tool_calls(deltas: list[StreamToolCallDelta]) -> list[AssistantFunctionToolCall]:

src/plyngent/runtime/client_factory.py

@@ -9,7 +9,8 @@ from plyngent.config.models import (
     Provider,
 )
 from plyngent.lmproto.deepseek import DeepseekOpenAIClient
-from plyngent.lmproto.openai_compatible import OpenAIClient, OpenAIConfig
+from plyngent.lmproto.openai import OpenAIClient
+from plyngent.lmproto.openai_compatible import OpenAICompatibleClient, OpenAIConfig
 
 if TYPE_CHECKING:
     from collections.abc import Mapping
@@ -17,7 +18,9 @@ if TYPE_CHECKING:
 DEFAULT_OPENAI_BASE_URL = "https://api.openai.com/v1"
 DEFAULT_DEEPSEEK_BASE_URL = "https://api.deepseek.com"
 
-type OpenAICompatibleClient = OpenAIClient | DeepseekOpenAIClient
+type ProtocolClient = OpenAIClient | OpenAICompatibleClient | DeepseekOpenAIClient
+# Backward-compatible name used by older imports/tests.
+type OpenAICompatibleClientUnion = ProtocolClient
 
 
 class ProviderNotSupportedError(NotImplementedError):
@@ -45,7 +48,7 @@ def _deepseek_convention(extras: Mapping[str, str]) -> str:
     return extras.get("convention", "openai").lower()
 
 
-def create_client(provider: Provider) -> OpenAICompatibleClient:
+def create_client(provider: Provider) -> ProtocolClient:
     """Build a protocol client for the given provider config entry.
 
     Raises:
@@ -55,7 +58,7 @@ def create_client(provider: Provider) -> OpenAICompatibleClient:
     if isinstance(provider, OpenAIProvider):
         return OpenAIClient(provider_to_openai_config(provider))
     if isinstance(provider, OpenAICompatibleProvider):
-        return OpenAIClient(provider_to_openai_config(provider))
+        return OpenAICompatibleClient(provider_to_openai_config(provider))
     if isinstance(provider, DeepseekProvider):
         convention = _deepseek_convention(provider.extras)
         if convention in {"openai", "openai_compat", "openai-compatible"}:

tests/test_lmproto/test_responses.py

@@ -3,9 +3,8 @@ from __future__ import annotations
 import msgspec
 import pytest
 
-from plyngent.lmproto.openai_compatible.client import OpenAIClient
+from plyngent.lmproto.openai import (
-from plyngent.lmproto.openai_compatible.config import OpenAIConfig
+    OpenAIClient,
-from plyngent.lmproto.openai_compatible.responses_model import (
     Response,
     ResponseDeleted,
     ResponseFunctionTool,
@@ -15,6 +14,7 @@ from plyngent.lmproto.openai_compatible.responses_model import (
     response_function_calls,
     response_output_text,
 )
+from plyngent.lmproto.openai_compatible.config import OpenAIConfig
 
 
 def _sample_response_body() -> bytes:

tests/test_runtime/test_client_factory.py

@@ -9,7 +9,8 @@ from plyngent.config.models import (
     OpenAIProvider,
 )
 from plyngent.lmproto.deepseek import DeepseekOpenAIClient
-from plyngent.lmproto.openai_compatible import OpenAIClient
+from plyngent.lmproto.openai import OpenAIClient
+from plyngent.lmproto.openai_compatible import OpenAICompatibleClient
 from plyngent.runtime import ProviderNotSupportedError, create_client, provider_to_openai_config
 
 
@@ -20,6 +21,7 @@ def test_openai_provider_defaults_base_url() -> None:
     assert config.base_url == "https://api.openai.com/v1"
     client = create_client(provider)
     assert isinstance(client, OpenAIClient)
+    assert hasattr(client, "responses")
 
 
 def test_openai_compatible_requires_url() -> None:
@@ -34,7 +36,8 @@ def test_openai_compatible_client() -> None:
         url="https://example.com/v1",
     )
     client = create_client(provider)
-    assert isinstance(client, OpenAIClient)
+    assert isinstance(client, OpenAICompatibleClient)
+    assert not isinstance(client, OpenAIClient)
     assert provider_to_openai_config(provider).base_url == "https://example.com/v1"