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167 lines
9.0 KiB
Python
167 lines
9.0 KiB
Python
"""原生 Anthropic Messages 协议，支持增量解码内容块。"""
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import json
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from contextlib import aclosing
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from app.contracts import MessageRole, ModelEventType, ModelRequest
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from app.providers.base import ProviderError, ProviderToolCall, ProviderTurn
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from app.providers.http_base import (
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UsageTracker, check_error, decode_tool_arguments, invalid_response, list_value,
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object_value, string_value, token_count, truncated_stream,
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)
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from app.providers.openai_compatible import OpenAICompatibleProvider
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from app.providers.tool_names import mapped_tool_names
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class AnthropicMessagesProvider(OpenAICompatibleProvider):
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stream_path = "/messages"
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def _headers(self) -> dict[str, str]:
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headers = super()._headers()
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authorization = headers.pop("Authorization", None)
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if authorization:
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headers["x-api-key"] = authorization.removeprefix("Bearer ")
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headers["anthropic-version"] = "2023-06-01"
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return headers
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def _payload(self, request: ModelRequest, *, stream: bool) -> dict[str, object]:
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systems = [request.system] if request.system else []
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messages = []
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for message in request.messages:
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if message.role == MessageRole.system:
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systems.append(message.content)
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continue
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if message.role == MessageRole.tool:
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if not message.tool_call_id:
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raise ProviderError("PROVIDER_INVALID_REQUEST", "Tool result requires a call identifier.")
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role = "user"
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content = [{"type": "tool_result", "tool_use_id": message.tool_call_id, "content": message.content}]
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else:
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role = message.role.value
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content = [{"type": "text", "text": message.content}] if message.content else []
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for uri in message.images:
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header, data = uri.split(",", 1)
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content.append({"type":"image", "source":{"type":"base64", "media_type":header[5:].split(";")[0], "data":data}})
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content += [{"type": "tool_use", "id": call.tool_call_id, "name": call.name,
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"input": call.arguments} for call in message.tool_calls]
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if not content:
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continue
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if messages and messages[-1]["role"] == role:
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messages[-1]["content"].extend(content)
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else:
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messages.append({"role": role, "content": content})
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payload: dict[str, object] = {"model": request.model, "messages": messages,
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"max_tokens": request.max_tokens or 4096, "stream": stream}
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if systems:
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payload["system"] = "\n\n".join(systems)
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if request.tools:
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payload["tools"] = [{"name": tool.name, "description": tool.description,
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"input_schema": tool.parameters} for tool in request.tools]
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if request.temperature is not None:
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payload["temperature"] = request.temperature
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if request.response_format is not None:
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format_ = request.response_format
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if format_.get("type") != "json_schema":
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raise ProviderError("PROVIDER_INVALID_REQUEST", "Messages requires a JSON schema response format.")
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schema = object_value(format_.get("json_schema"))
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payload["output_config"] = {"format": {"type": "json_schema", "schema": object_value(schema.get("schema"))}}
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return payload
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@mapped_tool_names
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async def complete(self, request: ModelRequest) -> ProviderTurn:
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data = await self._request("POST", self.stream_path, json=self._payload(request, stream=False))
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texts = []
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calls = []
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for raw in list_value(data.get("content")):
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block = object_value(raw)
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if block.get("type") == "text":
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texts.append(string_value(block.get("text")))
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elif block.get("type") == "tool_use":
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calls.append(ProviderToolCall(
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tool_call_id=string_value(block.get("id"), nonempty=True),
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name=string_value(block.get("name"), nonempty=True),
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arguments=decode_tool_arguments(block.get("input")),
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))
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return ProviderTurn(text="".join(texts) or None, tool_calls=calls,
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**UsageTracker(cache_tokens=True).update(data.get("usage") or {}))
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async def _events(self, request: ModelRequest):
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blocks: dict[int, dict] = {}
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usage = UsageTracker(cache_tokens=True)
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started = False
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async with aclosing(self._stream_json(self._payload(request, stream=True))) as chunks:
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async for data in chunks:
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kind = string_value(data.get("type"), nonempty=True)
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if kind == "message_start":
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if started:
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raise invalid_response()
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started = True
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message = object_value(data.get("message"))
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check_error(message)
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if message.get("usage") is not None:
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yield ModelEventType.usage, usage.update(message["usage"])
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elif kind == "content_block_start":
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index = token_count(data.get("index"))
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if not started or index in blocks:
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raise invalid_response()
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block = dict(object_value(data.get("content_block")))
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blocks[index] = block
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block["closed"] = False
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if block.get("type") == "tool_use":
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block["id"] = string_value(block.get("id"), nonempty=True)
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block["name"] = string_value(block.get("name"), nonempty=True)
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block["arguments"] = ""
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block["input"] = object_value(block.get("input", {}))
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yield ModelEventType.tool_call_start, {"tool_call_id": block["id"], "name": block["name"]}
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elif block.get("type") == "text" and block.get("text"):
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yield ModelEventType.text_delta, {"text": string_value(block["text"])}
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elif block.get("type") == "thinking" and block.get("thinking"):
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yield ModelEventType.thinking_delta, {"text": string_value(block["thinking"])}
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elif kind == "content_block_delta":
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block = blocks.get(token_count(data.get("index")))
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if block is None or block["closed"]:
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raise invalid_response()
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delta = object_value(data.get("delta"))
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delta_type = delta.get("type")
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if delta_type == "text_delta":
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if block.get("type") != "text":
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raise invalid_response()
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yield ModelEventType.text_delta, {"text": string_value(delta.get("text"))}
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elif delta_type == "thinking_delta":
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if block.get("type") != "thinking":
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raise invalid_response()
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yield ModelEventType.thinking_delta, {"text": string_value(delta.get("thinking"))}
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elif delta_type == "input_json_delta" and block.get("type") == "tool_use":
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fragment = string_value(delta.get("partial_json"))
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block["arguments"] += fragment
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yield ModelEventType.tool_call_delta, {"tool_call_id": block["id"], "arguments_delta": fragment}
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# 签名和未来的增量类型在 ModelEvent 中没有表示。
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elif kind == "content_block_stop":
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block = blocks.get(token_count(data.get("index")))
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if block is None or block["closed"]:
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raise invalid_response()
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block["closed"] = True
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if block.get("type") == "tool_use":
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if block["arguments"]:
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decode_tool_arguments(block["arguments"])
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else:
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yield ModelEventType.tool_call_delta, {
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"tool_call_id": block["id"], "arguments_delta": json.dumps(block["input"]),
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}
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yield ModelEventType.tool_call_end, {"tool_call_id": block["id"]}
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elif kind == "message_delta":
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if not started:
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raise invalid_response()
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object_value(data.get("delta"))
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if data.get("usage") is not None:
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yield ModelEventType.usage, usage.update(data["usage"])
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elif kind == "message_stop":
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if not started:
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raise invalid_response()
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if any(not block["closed"] for block in blocks.values()):
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raise truncated_stream()
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return
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elif kind == "[DONE]":
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raise truncated_stream()
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raise truncated_stream()
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