Merge pull request #33 from jepler/anthropic-claude

Add an anthropic back-end

src/chap/backends/anthropic.py

@@ -0,0 +1,98 @@
+# SPDX-FileCopyrightText: 2024 Jeff Epler <[email protected]>
+#
+# SPDX-License-Identifier: MIT
+
+import json
+from dataclasses import dataclass
+from typing import AsyncGenerator, Any
+
+import httpx
+
+from ..core import AutoAskMixin, Backend
+from ..key import get_key
+from ..session import Assistant, Role, Session, User
+
+
+class Anthropic(AutoAskMixin):
+    @dataclass
+    class Parameters:
+        url: str = "https://api.anthropic.com"
+        model: str = "claude-3-sonnet-20240229"
+        max_new_tokens: int = 1000
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.parameters = self.Parameters()
+
+    system_message = """\
+Answer each question accurately and thoroughly.
+"""
+
+    def make_full_query(self, messages: Session, max_query_size: int) -> dict[str, Any]:
+        system = [m.content for m in messages if m.role == Role.SYSTEM]
+        messages = [m for m in messages if m.role != Role.SYSTEM and m.content]
+        del messages[:-max_query_size]
+        result = dict(
+            model=self.parameters.model,
+            max_tokens=self.parameters.max_new_tokens,
+            messages=[dict(role=str(m.role), content=m.content) for m in messages],
+            stream=True,
+        )
+        if system and system[0]:
+            result["system"] = system[0]
+        return result
+
+    async def aask(
+        self,
+        session: Session,
+        query: str,
+        *,
+        max_query_size: int = 5,
+        timeout: float = 180,
+    ) -> AsyncGenerator[str, None]:
+        new_content: list[str] = []
+        params = self.make_full_query(session + [User(query)], max_query_size)
+        try:
+            async with httpx.AsyncClient(timeout=timeout) as client:
+                async with client.stream(
+                    "POST",
+                    f"{self.parameters.url}/v1/messages",
+                    json=params,
+                    headers={
+                        "x-api-key": self.get_key(),
+                        "content-type": "application/json",
+                        "anthropic-version": "2023-06-01",
+                        "anthropic-beta": "messages-2023-12-15",
+                    },
+                ) as response:
+                    if response.status_code == 200:
+                        async for line in response.aiter_lines():
+                            if line.startswith("data:"):
+                                data = line.removeprefix("data:").strip()
+                                j = json.loads(data)
+                                content = j.get("delta", {}).get("text", "")
+                                if content:
+                                    new_content.append(content)
+                                    yield content
+                    else:
+                        content = f"\nFailed with {response=!r}"
+                        new_content.append(content)
+                        yield content
+                        async for line in response.aiter_lines():
+                            new_content.append(line)
+                            yield line
+        except httpx.HTTPError as e:
+            content = f"\nException: {e!r}"
+            new_content.append(content)
+            yield content
+
+        session.extend([User(query), Assistant("".join(new_content))])
+
+    @classmethod
+    def get_key(cls) -> str:
+        return get_key("anthropic_api_key")
+
+
+def factory() -> Backend:
+    """Uses the huggingface text-generation-interface web API"""
+    return Anthropic()