feat(provider): 完成阶段E协议适配、国内预设与模型路由

This commit is contained in:
2026-09-04 06:19:32 +08:00
parent 9b8b10cdb1
commit 1fe75e3fd2
57 changed files with 4208 additions and 592 deletions
+88 -178
View File
@@ -1,16 +1,22 @@
from uuid import uuid4
import json
from collections.abc import AsyncIterator
from datetime import datetime, timezone
from contextlib import aclosing
from uuid import uuid4
import httpx
from app.contracts import ModelCapability, ModelEvent, ModelEventType, ModelInfo, ModelRequest
from app.contracts import MessageRole, ModelCapability, ModelEventType, ModelInfo, ModelRequest
from app.providers.base import ProviderError, ProviderToolCall, ProviderTurn
from app.providers.http_base import TurnStreamingMixin, decode_tool_arguments
from app.providers.tool_names import mapped_tool_names
from app.providers.http_base import (
EventStreamingMixin, HTTPProviderMixin, UsageTracker, decode_tool_arguments,
invalid_response, list_value, object_value, string_value, truncated_stream,
)
class OllamaProvider(TurnStreamingMixin):
class OllamaProvider(EventStreamingMixin, HTTPProviderMixin):
stream_path = "/api/chat"
stream_format = "jsonl"
def __init__(
self,
base_url: str = "http://127.0.0.1:11434",
@@ -21,126 +27,55 @@ class OllamaProvider(TurnStreamingMixin):
self.timeout_seconds = timeout_seconds
self.transport = transport
@mapped_tool_names
async def complete(self, request: ModelRequest) -> ProviderTurn:
messages = []
if request.system:
messages.append({"role": "system", "content": request.system})
for message in request.messages:
item: dict[str, object] = {
"role": message.role.value,
"content": message.content,
}
if message.tool_calls:
item["tool_calls"] = [
{
"function": {
"name": call.name,
"arguments": call.arguments,
}
}
for call in message.tool_calls
]
messages.append(item)
payload: dict[str, object] = {
"model": request.model,
"messages": messages,
"stream": False,
}
if request.tools:
payload["tools"] = [
{
"type": "function",
"function": {
"name": tool.name,
"description": tool.description,
"parameters": tool.parameters,
},
}
for tool in request.tools
]
data = await self._request("POST", "/api/chat", json=payload)
message = data.get("message") or {}
tool_calls = []
for raw_call in message.get("tool_calls") or []:
function = raw_call.get("function") or {}
tool_calls.append(
ProviderToolCall(
tool_call_id=raw_call.get("id") or f"call_{uuid4().hex}",
name=function.get("name") or "",
arguments=decode_tool_arguments(function.get("arguments", {})),
)
)
return ProviderTurn(
text=message.get("content") or None,
tool_calls=tool_calls,
input_tokens=int(data.get("prompt_eval_count") or 0),
output_tokens=int(data.get("eval_count") or 0),
data = await self._request("POST", self.stream_path, json=self._chat_payload(request, stream=False))
message = object_value(data.get("message"))
calls = [self._tool_call(raw) for raw in list_value(message.get("tool_calls", []))]
content = message.get("content")
if content is not None:
content = string_value(content)
return ProviderTurn(text=content or None, tool_calls=calls,
**UsageTracker("prompt_eval_count", "eval_count").update(data))
@staticmethod
def _tool_call(raw: object) -> ProviderToolCall:
call = object_value(raw)
function = object_value(call.get("function"))
return ProviderToolCall(
tool_call_id=string_value(call.get("id") or f"call_{uuid4().hex}"),
name=string_value(function.get("name"), nonempty=True),
arguments=decode_tool_arguments(function.get("arguments", {})),
)
async def list_models(self) -> list[ModelInfo]:
data = await self._request("GET", "/api/tags")
return [
ModelInfo(
model=item["name"],
display_name=item.get("name", ""),
capabilities=[ModelCapability.chat, ModelCapability.streaming],
)
for item in data.get("models", [])
if isinstance(item, dict) and item.get("name")
]
async def stream(self, request: ModelRequest) -> AsyncIterator[ModelEvent]:
payload = self._chat_payload(request, stream=True)
sequence = 0
def event(kind: ModelEventType, data: dict | None = None) -> ModelEvent:
nonlocal sequence
item = ModelEvent(
event=kind, sequence=sequence, data=data or {},
timestamp=datetime.now(timezone.utc),
)
sequence += 1
return item
try:
async for data in self._stream_json(payload):
message = data.get("message") or {}
async def _events(self, request: ModelRequest):
usage = UsageTracker("prompt_eval_count", "eval_count")
async with aclosing(self._stream_json(self._chat_payload(request, stream=True))) as chunks:
async for data in chunks:
message = object_value(data.get("message", {}))
if message.get("thinking"):
yield event(ModelEventType.thinking_delta, {"text": message["thinking"]})
yield ModelEventType.thinking_delta, {"text": string_value(message["thinking"])}
if message.get("content"):
yield event(ModelEventType.text_delta, {"text": message["content"]})
for raw_call in message.get("tool_calls") or []:
function = raw_call.get("function") or {}
call_id = raw_call.get("id") or f"call_{uuid4().hex}"
yield event(
ModelEventType.tool_call_start,
{"tool_call_id": call_id, "name": function.get("name") or ""},
)
yield event(
ModelEventType.tool_call_delta,
{
"tool_call_id": call_id,
"arguments_delta": json.dumps(
function.get("arguments") or {}, ensure_ascii=False
),
},
)
yield event(ModelEventType.tool_call_end, {"tool_call_id": call_id})
if data.get("done"):
yield event(
ModelEventType.usage,
{
"input_tokens": int(data.get("prompt_eval_count") or 0),
"output_tokens": int(data.get("eval_count") or 0),
},
)
yield event(ModelEventType.done)
except ProviderError as exc:
yield event(ModelEventType.error, {"code": exc.code, "message": exc.message})
yield event(ModelEventType.done)
yield ModelEventType.text_delta, {"text": string_value(message["content"])}
for raw in list_value(message.get("tool_calls", [])):
call = self._tool_call(raw)
yield ModelEventType.tool_call_start, {"tool_call_id": call.tool_call_id, "name": call.name}
yield ModelEventType.tool_call_delta, {
"tool_call_id": call.tool_call_id,
"arguments_delta": json.dumps(call.arguments, ensure_ascii=False),
}
yield ModelEventType.tool_call_end, {"tool_call_id": call.tool_call_id}
if "done" in data and not isinstance(data["done"], bool):
raise invalid_response()
if "prompt_eval_count" in data or "eval_count" in data or data.get("done"):
yield ModelEventType.usage, usage.update(data)
if data.get("done") is True:
return
raise truncated_stream()
def _chat_payload(self, request: ModelRequest, *, stream: bool) -> dict[str, object]:
messages = []
names: dict[str, str] = {}
if request.system:
messages.append({"role": "system", "content": request.system})
for message in request.messages:
@@ -150,53 +85,49 @@ class OllamaProvider(TurnStreamingMixin):
{"function": {"name": call.name, "arguments": call.arguments}}
for call in message.tool_calls
]
names.update({call.tool_call_id: call.name for call in message.tool_calls})
if message.role == MessageRole.tool:
name = message.name or names.get(message.tool_call_id or "")
if name:
item["tool_name"] = name
messages.append(item)
payload: dict[str, object] = {
"model": request.model, "messages": messages, "stream": stream
"model": request.model, "messages": messages, "stream": stream,
}
if request.tools:
payload["tools"] = [
{
"type": "function",
"function": {
"name": tool.name,
"description": tool.description,
"parameters": tool.parameters,
},
}
for tool in request.tools
{"type": "function", "function": {
"name": tool.name, "description": tool.description, "parameters": tool.parameters,
}} for tool in request.tools
]
options = {}
if request.temperature is not None:
options["temperature"] = request.temperature
if request.max_tokens is not None:
options["num_predict"] = request.max_tokens
if options:
payload["options"] = options
if request.response_format:
format_ = request.response_format
if format_.get("type") == "json_object":
payload["format"] = "json"
elif format_.get("type") == "json_schema":
payload["format"] = object_value(object_value(format_.get("json_schema")).get("schema"))
else:
payload["format"] = format_
return payload
async def _stream_json(self, payload: dict[str, object]) -> AsyncIterator[dict]:
try:
async with httpx.AsyncClient(
timeout=self.timeout_seconds, transport=self.transport
) as client:
async with client.stream(
"POST", f"{self.base_url}/api/chat", json=payload
) as response:
response.raise_for_status()
async for line in response.aiter_lines():
if not line.strip():
continue
try:
data = json.loads(line)
except json.JSONDecodeError as exc:
raise ProviderError(
"PROVIDER_INVALID_RESPONSE", "Ollama returned invalid JSONL."
) from exc
if isinstance(data, dict):
yield data
except httpx.TimeoutException as exc:
raise ProviderError("PROVIDER_TIMEOUT", "Ollama request timed out.") from exc
except httpx.HTTPStatusError as exc:
raise ProviderError(
"MODEL_NOT_FOUND" if exc.response.status_code == 404 else "PROVIDER_UNAVAILABLE",
f"Ollama returned HTTP {exc.response.status_code}.",
) from exc
except httpx.HTTPError as exc:
raise ProviderError("PROVIDER_UNAVAILABLE", "Ollama is unavailable.") from exc
async def list_models(self) -> list[ModelInfo]:
data = await self._request("GET", "/api/tags")
return [
ModelInfo(
model=string_value(item["name"]), display_name=item["name"],
capabilities=([ModelCapability.embedding] if "embed" in item["name"].lower()
else [ModelCapability.chat, ModelCapability.streaming]),
)
for item in list_value(data.get("models"))
if isinstance(item, dict) and isinstance(item.get("name"), str) and item["name"]
]
async def test_connection(self, model: str | None = None) -> tuple[bool, str]:
try:
@@ -206,24 +137,3 @@ class OllamaProvider(TurnStreamingMixin):
if model and model not in {item.model for item in models}:
return False, f"Model is not installed: {model}"
return True, f"Connected; discovered {len(models)} local model(s)."
async def _request(self, method: str, path: str, **kwargs) -> dict:
try:
async with httpx.AsyncClient(
timeout=self.timeout_seconds, transport=self.transport
) as client:
response = await client.request(method, f"{self.base_url}{path}", **kwargs)
response.raise_for_status()
data = response.json()
except httpx.TimeoutException as exc:
raise ProviderError("PROVIDER_TIMEOUT", "Ollama request timed out.") from exc
except httpx.HTTPStatusError as exc:
raise ProviderError(
"MODEL_NOT_FOUND" if exc.response.status_code == 404 else "PROVIDER_UNAVAILABLE",
f"Ollama returned HTTP {exc.response.status_code}.",
) from exc
except (httpx.HTTPError, ValueError) as exc:
raise ProviderError("PROVIDER_UNAVAILABLE", "Ollama is unavailable.") from exc
if not isinstance(data, dict):
raise ProviderError("PROVIDER_INVALID_RESPONSE", "Ollama returned non-object JSON.")
return data