feat: add chat endpoint to sync and async client

while this commit supports streaming for the chat endpoint, it does only offer a simplified version and does not forward all parameters

aleph_alpha_client/aleph_alpha_client.py

@@ -36,9 +36,9 @@
     CompletionRequest,
     CompletionResponse,
     CompletionResponseStreamItem,
-    StreamChunk,
     stream_item_from_json,
 )
+from aleph_alpha_client.chat import ChatRequest, ChatResponse, ChatStreamChunk, ChatStreamChunk
 from aleph_alpha_client.evaluation import EvaluationRequest, EvaluationResponse
 from aleph_alpha_client.tokenization import TokenizationRequest, TokenizationResponse
 from aleph_alpha_client.detokenization import (
@@ -99,6 +99,7 @@ def _check_api_version(version_str: str):
 
 AnyRequest = Union[
     CompletionRequest,
+    ChatRequest,
     EmbeddingRequest,
     EvaluationRequest,
     TokenizationRequest,
@@ -302,6 +303,34 @@ def complete(
         response = self._post_request("complete", request, model)
         return CompletionResponse.from_json(response)
 
+    def chat(
+        self,
+        request: ChatRequest,
+        model: str,
+    ) -> ChatResponse:
+        """Chat with a model.
+
+        Parameters:
+            request (ChatRequest, required):
+                Parameters for the requested chat.
+
+            model (string, required):
+                Name of model to use. A model name refers to a model architecture (number of parameters among others).
+                Always the latest version of model is used.
+
+        Examples:
+            >>> # create a chat request
+            >>> request = ChatRequest(
+                    messages=[Message(role="user", content="Hello, how are you?")],
+                    model=model,
+                )
+            >>>
+            >>> # chat with the model
+            >>> result = client.chat(request, model=model_name)
+        """
+        response = self._post_request("chat/completions", request, model)
+        return ChatResponse.from_json(response)
+
     def tokenize(
         self,
         request: TokenizationRequest,
@@ -797,7 +826,11 @@ async def _post_request_with_streaming(
                         f"Stream item did not start with `{self.SSE_DATA_PREFIX}`. Was `{stream_item_as_str}"
                     )
 
-                yield json.loads(stream_item_as_str[len(self.SSE_DATA_PREFIX) :])
+                payload = stream_item_as_str[len(self.SSE_DATA_PREFIX) :]
+                if payload == "[DONE]":
+                    continue
+
+                yield json.loads(payload)
 
     def _build_query_parameters(self) -> Mapping[str, str]:
         return {
@@ -864,6 +897,38 @@ async def complete(
         )
         return CompletionResponse.from_json(response)
 
+    async def chat(
+        self,
+        request: ChatRequest,
+        model: str,
+    ) -> ChatResponse:
+        """Chat with a model.
+
+        Parameters:
+            request (ChatRequest, required):
+                Parameters for the requested chat.
+
+            model (string, required):
+                Name of model to use. A model name refers to a model architecture (number of parameters among others).
+                Always the latest version of model is used.
+
+        Examples:
+            >>> # create a chat request
+            >>> request = ChatRequest(
+                    messages=[Message(role="user", content="Hello, how are you?")],
+                    model=model,
+                )
+            >>>
+            >>> # chat with the model
+            >>> result = await client.chat(request, model=model_name)
+        """
+        response = await self._post_request(
+            "chat/completions",
+            request,
+            model,
+        )
+        return ChatResponse.from_json(response)
+
     async def complete_with_streaming(
         self,
         request: CompletionRequest,
@@ -905,6 +970,46 @@ async def complete_with_streaming(
         ):
             yield stream_item_from_json(stream_item_json)
 
+    async def chat_with_streaming(
+        self,
+        request: ChatRequest,
+        model: str,
+    ) -> AsyncGenerator[ChatStreamChunk, None]:
+        """Generates streamed chat completions.
+
+        The first yie chunk contains the role, while subsequent chunks only contain the content delta.
+
+        Parameters:
+            request (ChatRequest, required):
+                Parameters for the requested chat.
+
+            model (string, required):
+                Name of model to use. A model name refers to a model architecture (number of parameters among others).
+                Always the latest version of model is used.
+
+        Examples:
+            >>> # create a chat request
+            >>> request = ChatRequest(
+                    messages=[Message(role="user", content="Hello, how are you?")],
+                    model=model,
+                )
+            >>>
+            >>> # chat with the model
+            >>> result = await client.chat_with_streaming(request, model=model_name)
+            >>>
+            >>> # consume the chat stream
+            >>> async for stream_item in result:
+            >>>     do_something_with(stream_item)
+        """
+        async for stream_item_json in self._post_request_with_streaming(
+            "chat/completions",
+            request,
+            model,
+        ):
+            chunk = ChatStreamChunk.from_json(stream_item_json)
+            if chunk is not None:
+                yield chunk
+
     async def tokenize(
         self,
         request: TokenizationRequest,

aleph_alpha_client/chat.py

@@ -0,0 +1,110 @@
+from dataclasses import dataclass, asdict
+from typing import List, Optional, Mapping, Any, Dict
+from enum import Enum
+
+class Role(str, Enum):
+    """A role used for a message in a chat."""
+    User = "user"
+    Assistant = "assistant"
+    System = "system"
+
+
+@dataclass(frozen=True)
+class Message:
+    """
+    Describes a message in a chat.
+    
+    Parameters:
+        role (Role, required):
+            The role of the message.
+
+        content (str, required):
+            The content of the message.
+    """
+    role: Role
+    content: str
+
+    def to_json(self) -> Mapping[str, Any]:
+        return asdict(self)
+
+    @staticmethod
+    def from_json(json: Dict[str, Any]) -> "Message":
+        return Message(
+            role=Role(json["role"]),
+            content=json["content"],
+        )
+
+
+@dataclass(frozen=True)
+class ChatRequest:
+    """
+    Describes a chat request.
+    
+    Only supports a subset of the parameters of `CompletionRequest` for simplicity.
+    See `CompletionRequest` for documentation on the parameters.
+    """
+    model: str
+    messages: List[Message]
+    maximum_tokens: Optional[int] = None
+    temperature: float = 0.0
+    top_k: int = 0
+    top_p: float = 0.0
+
+    def to_json(self) -> Mapping[str, Any]:
+        payload = {k: v for k, v in asdict(self).items() if v is not None}
+        payload["messages"] = [message.to_json() for message in self.messages]
+        return payload
+
+
+@dataclass(frozen=True)
+class ChatResponse:
+    """
+    A simplified version of the chat response.
+
+    As the `ChatRequest` does not support the `n` parameter (allowing for multiple return values),
+    the `ChatResponse` assumes there to be only one choice.
+    """
+    finish_reason: str
+    message: Message
+
+    @staticmethod
+    def from_json(json: Dict[str, Any]) -> "ChatResponse":
+        first_choice = json["choices"][0]
+        return ChatResponse(
+            finish_reason=first_choice["finish_reason"],
+            message=Message.from_json(first_choice["message"]),
+        )
+
+
+@dataclass(frozen=True)
+class ChatStreamChunk:
+    """
+    A streamed chat completion chunk.
+
+    Parameters:
+        content (str, required):
+            The content of the current chat completion. Will be empty for the first chunk of every completion stream and non-empty for the remaining chunks.
+
+        role (Role, optional):
+            The role of the current chat completion. Will be assistant for the first chunk of every completion stream and missing for the remaining chunks.
+    """ 
+    content: str
+    role: Optional[Role]
+
+    @staticmethod
+    def from_json(json: Dict[str, Any]) -> Optional["ChatStreamChunk"]:
+        """
+        Returns a ChatStreamChunk if the chunk contains a message, otherwise None.
+        """
+        if not (delta := json["choices"][0]["delta"]):
+            return None
+
+        return ChatStreamChunk(
+            content=delta["content"],
+            role=Role(delta.get("role")) if delta.get("role") else None,
+        )
+
+
+@dataclass(frozen=True)
+class StreamSummary:
+    pass

tests/common.py

@@ -32,6 +32,11 @@ def model_name() -> str:
     return "luminous-base"
 
 
+@pytest.fixture(scope="session")
+def chat_model_name() -> str:
+    return "llama-3.1-70b-instruct"
+
+
 @pytest.fixture(scope="session")
 def prompt_image() -> Image:
     image_source_path = Path(__file__).parent / "dog-and-cat-cover.jpg"

tests/test_chat.py

@@ -0,0 +1,58 @@
+import pytest
+
+from aleph_alpha_client import AsyncClient, Client
+from aleph_alpha_client.chat import ChatRequest, Message, Role
+from tests.common import async_client, sync_client, model_name, chat_model_name
+
+
+@pytest.mark.system_test
+async def test_can_not_chat_with_all_models(async_client: AsyncClient, model_name: str):
+    request = ChatRequest(
+        messages=[Message(role=Role.User, content="Hello, how are you?")],
+        model=model_name,
+    )
+
+    with pytest.raises(ValueError):
+        await async_client.chat(request, model=model_name)
+
+
+@pytest.mark.system_test
+def test_can_chat_with_chat_model(sync_client: Client, chat_model_name: str):
+    request = ChatRequest(
+        messages=[Message(role=Role.User, content="Hello, how are you?")],
+        model=chat_model_name,
+    )
+
+    response = sync_client.chat(request, model=chat_model_name)
+    assert response.message.role == Role.Assistant
+    assert response.message.content is not None
+
+
+@pytest.mark.system_test
+async def test_can_chat_with_async_client(async_client: AsyncClient, chat_model_name: str):
+    system_msg = Message(role=Role.System, content="You are a helpful assistant.")
+    user_msg = Message(role=Role.User, content="Hello, how are you?")
+    request = ChatRequest(
+        messages=[system_msg, user_msg],
+        model=chat_model_name,
+    )
+
+    response = await async_client.chat(request, model=chat_model_name)
+    assert response.message.role == Role.Assistant
+    assert response.message.content is not None
+
+
+@pytest.mark.system_test
+async def test_can_chat_with_streaming_support(async_client: AsyncClient, chat_model_name: str):
+    request = ChatRequest(
+        messages=[Message(role=Role.User, content="Hello, how are you?")],
+        model=chat_model_name,
+    )
+
+    stream_items = [
+        stream_item async for stream_item in async_client.chat_with_streaming(request, model=chat_model_name)
+    ]
+
+    assert len(stream_items) >= 3
+    assert stream_items[0].role is not None
+    assert all(item.content is not None for item in stream_items[1:])