Files
NotesAgentic/backend/app/providers/anthropic_messages.py
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164 lines
8.8 KiB
Python

"""Native Anthropic Messages protocol with incrementally decoded content blocks."""
import json
from contextlib import aclosing
from app.contracts import MessageRole, ModelEventType, ModelRequest
from app.providers.base import ProviderError, ProviderToolCall, ProviderTurn
from app.providers.http_base import (
UsageTracker, check_error, decode_tool_arguments, invalid_response, list_value,
object_value, string_value, token_count, truncated_stream,
)
from app.providers.openai_compatible import OpenAICompatibleProvider
from app.providers.tool_names import mapped_tool_names
class AnthropicMessagesProvider(OpenAICompatibleProvider):
stream_path = "/messages"
def _headers(self) -> dict[str, str]:
headers = super()._headers()
authorization = headers.pop("Authorization", None)
if authorization:
headers["x-api-key"] = authorization.removeprefix("Bearer ")
headers["anthropic-version"] = "2023-06-01"
return headers
def _payload(self, request: ModelRequest, *, stream: bool) -> dict[str, object]:
systems = [request.system] if request.system else []
messages = []
for message in request.messages:
if message.role == MessageRole.system:
systems.append(message.content)
continue
if message.role == MessageRole.tool:
if not message.tool_call_id:
raise ProviderError("PROVIDER_INVALID_REQUEST", "Tool result requires a call identifier.")
role = "user"
content = [{"type": "tool_result", "tool_use_id": message.tool_call_id, "content": message.content}]
else:
role = message.role.value
content = [{"type": "text", "text": message.content}] if message.content else []
content += [{"type": "tool_use", "id": call.tool_call_id, "name": call.name,
"input": call.arguments} for call in message.tool_calls]
if not content:
continue
if messages and messages[-1]["role"] == role:
messages[-1]["content"].extend(content)
else:
messages.append({"role": role, "content": content})
payload: dict[str, object] = {"model": request.model, "messages": messages,
"max_tokens": request.max_tokens or 4096, "stream": stream}
if systems:
payload["system"] = "\n\n".join(systems)
if request.tools:
payload["tools"] = [{"name": tool.name, "description": tool.description,
"input_schema": tool.parameters} for tool in request.tools]
if request.temperature is not None:
payload["temperature"] = request.temperature
if request.response_format is not None:
format_ = request.response_format
if format_.get("type") != "json_schema":
raise ProviderError("PROVIDER_INVALID_REQUEST", "Messages requires a JSON schema response format.")
schema = object_value(format_.get("json_schema"))
payload["output_config"] = {"format": {"type": "json_schema", "schema": object_value(schema.get("schema"))}}
return payload
@mapped_tool_names
async def complete(self, request: ModelRequest) -> ProviderTurn:
data = await self._request("POST", self.stream_path, json=self._payload(request, stream=False))
texts = []
calls = []
for raw in list_value(data.get("content")):
block = object_value(raw)
if block.get("type") == "text":
texts.append(string_value(block.get("text")))
elif block.get("type") == "tool_use":
calls.append(ProviderToolCall(
tool_call_id=string_value(block.get("id"), nonempty=True),
name=string_value(block.get("name"), nonempty=True),
arguments=decode_tool_arguments(block.get("input")),
))
return ProviderTurn(text="".join(texts) or None, tool_calls=calls,
**UsageTracker(cache_tokens=True).update(data.get("usage") or {}))
async def _events(self, request: ModelRequest):
blocks: dict[int, dict] = {}
usage = UsageTracker(cache_tokens=True)
started = False
async with aclosing(self._stream_json(self._payload(request, stream=True))) as chunks:
async for data in chunks:
kind = string_value(data.get("type"), nonempty=True)
if kind == "message_start":
if started:
raise invalid_response()
started = True
message = object_value(data.get("message"))
check_error(message)
if message.get("usage") is not None:
yield ModelEventType.usage, usage.update(message["usage"])
elif kind == "content_block_start":
index = token_count(data.get("index"))
if not started or index in blocks:
raise invalid_response()
block = dict(object_value(data.get("content_block")))
blocks[index] = block
block["closed"] = False
if block.get("type") == "tool_use":
block["id"] = string_value(block.get("id"), nonempty=True)
block["name"] = string_value(block.get("name"), nonempty=True)
block["arguments"] = ""
block["input"] = object_value(block.get("input", {}))
yield ModelEventType.tool_call_start, {"tool_call_id": block["id"], "name": block["name"]}
elif block.get("type") == "text" and block.get("text"):
yield ModelEventType.text_delta, {"text": string_value(block["text"])}
elif block.get("type") == "thinking" and block.get("thinking"):
yield ModelEventType.thinking_delta, {"text": string_value(block["thinking"])}
elif kind == "content_block_delta":
block = blocks.get(token_count(data.get("index")))
if block is None or block["closed"]:
raise invalid_response()
delta = object_value(data.get("delta"))
delta_type = delta.get("type")
if delta_type == "text_delta":
if block.get("type") != "text":
raise invalid_response()
yield ModelEventType.text_delta, {"text": string_value(delta.get("text"))}
elif delta_type == "thinking_delta":
if block.get("type") != "thinking":
raise invalid_response()
yield ModelEventType.thinking_delta, {"text": string_value(delta.get("thinking"))}
elif delta_type == "input_json_delta" and block.get("type") == "tool_use":
fragment = string_value(delta.get("partial_json"))
block["arguments"] += fragment
yield ModelEventType.tool_call_delta, {"tool_call_id": block["id"], "arguments_delta": fragment}
# Signatures and future delta types have no representation in ModelEvent.
elif kind == "content_block_stop":
block = blocks.get(token_count(data.get("index")))
if block is None or block["closed"]:
raise invalid_response()
block["closed"] = True
if block.get("type") == "tool_use":
if block["arguments"]:
decode_tool_arguments(block["arguments"])
else:
yield ModelEventType.tool_call_delta, {
"tool_call_id": block["id"], "arguments_delta": json.dumps(block["input"]),
}
yield ModelEventType.tool_call_end, {"tool_call_id": block["id"]}
elif kind == "message_delta":
if not started:
raise invalid_response()
object_value(data.get("delta"))
if data.get("usage") is not None:
yield ModelEventType.usage, usage.update(data["usage"])
elif kind == "message_stop":
if not started:
raise invalid_response()
if any(not block["closed"] for block in blocks.values()):
raise truncated_stream()
return
elif kind == "[DONE]":
raise truncated_stream()
raise truncated_stream()