Files
free-claude-code/api/services.py
T
George Levis f5e49ea78d Add OpenCode Go subscription gateway provider (#505)
## Summary

Adds support for the **OpenCode Go** subscription gateway at
`opencode.ai/zen/go/v1`, as requested in #504.

OpenCode Go exposes the same OpenAI-compatible Chat Completions API as
OpenCode Zen, so the implementation reuses `OpenCodeProvider` with a
configurable `provider_name` parameter — avoiding code duplication.

### Changes
- **Provider**: `OpenCodeProvider` now accepts `provider_name` (defaults
to `"OPENCODE"` for backward compatibility)
- **Catalog**: New `opencode_go` descriptor with correct base URL,
credential, and capabilities
- **Registry**: `_create_opencode_go` factory that passes
`provider_name="OPENCODE_GO"`
- **Settings**: `opencode_go_api_key` and `opencode_go_proxy` fields
- **Admin UI**: OpenCode Go API key, proxy, and smoke model config
fields
- **API services**: `opencode_go` added to OpenAI Chat Completions
upstream IDs
- **Smoke config**: Default smoke model `opencode_go/gpt-5.3-codex`
- **Tests**: New test for base URL, provider name, and API key; existing
tests updated

## Test plan
- [x] `test_opencode_go_provider_config_uses_correct_base_url_and_name`
— passes
- [x] `test_create_provider_instantiates_each_builtin` — covers
opencode_go
- [x]
`test_provider_and_platform_registries_include_advertised_builtins` —
covers opencode_go
- [x] `uv run ruff format`, `ruff check`, `ty check`, `pytest` — pass
locally on Python 3.14

Closes #504.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
2026-05-20 21:22:20 -07:00

263 lines
10 KiB
Python

"""Application services for the Claude-compatible API."""
from __future__ import annotations
import traceback
import uuid
from collections.abc import AsyncIterator, Callable
from typing import Any
from fastapi import HTTPException
from fastapi.responses import StreamingResponse
from loguru import logger
from config.settings import Settings
from core.anthropic import get_token_count, get_user_facing_error_message
from core.anthropic.sse import ANTHROPIC_SSE_RESPONSE_HEADERS
from core.trace import api_messages_request_snapshot, trace_event, traced_async_stream
from providers.base import BaseProvider
from providers.exceptions import InvalidRequestError, ProviderError
from .model_router import ModelRouter
from .models.anthropic import MessagesRequest, TokenCountRequest
from .models.responses import TokenCountResponse
from .optimization_handlers import try_optimizations
from .web_tools.egress import WebFetchEgressPolicy
from .web_tools.request import (
is_web_server_tool_request,
openai_chat_upstream_server_tool_error,
)
from .web_tools.streaming import stream_web_server_tool_response
TokenCounter = Callable[[list[Any], str | list[Any] | None, list[Any] | None], int]
ProviderGetter = Callable[[str], BaseProvider]
# Providers that use ``/chat/completions`` + Anthropic-to-OpenAI conversion (not native Messages).
_OPENAI_CHAT_UPSTREAM_IDS = frozenset({"nvidia_nim", "opencode", "opencode_go", "zai"})
def anthropic_sse_streaming_response(
body: AsyncIterator[str],
) -> StreamingResponse:
"""Return a :class:`StreamingResponse` for Anthropic-style SSE streams."""
return StreamingResponse(
body,
media_type="text/event-stream",
headers=ANTHROPIC_SSE_RESPONSE_HEADERS,
)
def _http_status_for_unexpected_service_exception(_exc: BaseException) -> int:
"""HTTP status for uncaught non-provider failures (stable client contract)."""
return 500
def _log_unexpected_service_exception(
settings: Settings,
exc: BaseException,
*,
context: str,
request_id: str | None = None,
) -> None:
"""Log service-layer failures without echoing exception text unless opted in."""
if settings.log_api_error_tracebacks:
if request_id is not None:
logger.error("{} request_id={}: {}", context, request_id, exc)
else:
logger.error("{}: {}", context, exc)
logger.error(traceback.format_exc())
return
if request_id is not None:
logger.error(
"{} request_id={} exc_type={}",
context,
request_id,
type(exc).__name__,
)
else:
logger.error("{} exc_type={}", context, type(exc).__name__)
def _require_non_empty_messages(messages: list[Any]) -> None:
if not messages:
raise InvalidRequestError("messages cannot be empty")
class ClaudeProxyService:
"""Coordinate request optimization, model routing, token count, and providers."""
def __init__(
self,
settings: Settings,
provider_getter: ProviderGetter,
model_router: ModelRouter | None = None,
token_counter: TokenCounter = get_token_count,
):
self._settings = settings
self._provider_getter = provider_getter
self._model_router = model_router or ModelRouter(settings)
self._token_counter = token_counter
def create_message(self, request_data: MessagesRequest) -> object:
"""Create a message response or streaming response."""
try:
_require_non_empty_messages(request_data.messages)
routed = self._model_router.resolve_messages_request(request_data)
if routed.resolved.provider_id in _OPENAI_CHAT_UPSTREAM_IDS:
tool_err = openai_chat_upstream_server_tool_error(
routed.request,
web_tools_enabled=self._settings.enable_web_server_tools,
)
if tool_err is not None:
raise InvalidRequestError(tool_err)
if self._settings.enable_web_server_tools and is_web_server_tool_request(
routed.request
):
input_tokens = self._token_counter(
routed.request.messages, routed.request.system, routed.request.tools
)
trace_event(
stage="routing",
event="api.optimization.web_server_tool",
source="api",
model=routed.request.model,
)
egress = WebFetchEgressPolicy(
allow_private_network_targets=self._settings.web_fetch_allow_private_networks,
allowed_schemes=self._settings.web_fetch_allowed_scheme_set(),
)
return anthropic_sse_streaming_response(
stream_web_server_tool_response(
routed.request,
input_tokens=input_tokens,
web_fetch_egress=egress,
verbose_client_errors=self._settings.log_api_error_tracebacks,
),
)
optimized = try_optimizations(routed.request, self._settings)
if optimized is not None:
trace_event(
stage="routing",
event="api.optimization.short_circuit",
source="api",
model=routed.request.model,
)
return optimized
logger.debug("No optimization matched, routing to provider")
provider = self._provider_getter(routed.resolved.provider_id)
provider.preflight_stream(
routed.request,
thinking_enabled=routed.resolved.thinking_enabled,
)
trace_event(
stage="routing",
event="api.route.resolved",
source="api",
provider_id=routed.resolved.provider_id,
provider_model=routed.resolved.provider_model,
provider_model_ref=routed.resolved.provider_model_ref,
gateway_model=routed.request.model,
thinking_enabled=routed.resolved.thinking_enabled,
)
request_id = f"req_{uuid.uuid4().hex[:12]}"
with logger.contextualize(request_id=request_id):
trace_event(
stage="ingress",
event="api.request.received",
source="api",
message_count=len(routed.request.messages),
snapshot=api_messages_request_snapshot(routed.request),
)
if self._settings.log_raw_api_payloads:
logger.debug(
"FULL_PAYLOAD [{}]: {}", request_id, routed.request.model_dump()
)
input_tokens = self._token_counter(
routed.request.messages,
routed.request.system,
routed.request.tools,
)
streamed = traced_async_stream(
provider.stream_response(
routed.request,
input_tokens=input_tokens,
request_id=request_id,
thinking_enabled=routed.resolved.thinking_enabled,
),
stage="egress",
source="api",
complete_event="api.response.stream_completed",
interrupted_event="api.response.stream_interrupted",
chunk_event=None,
extra={
"request_id": request_id,
"provider_id": routed.resolved.provider_id,
"gateway_model": routed.request.model,
},
)
return anthropic_sse_streaming_response(streamed)
except ProviderError:
raise
except Exception as e:
_log_unexpected_service_exception(
self._settings, e, context="CREATE_MESSAGE_ERROR"
)
raise HTTPException(
status_code=_http_status_for_unexpected_service_exception(e),
detail=get_user_facing_error_message(e),
) from e
def count_tokens(self, request_data: TokenCountRequest) -> TokenCountResponse:
"""Count tokens for a request after applying configured model routing."""
request_id = f"req_{uuid.uuid4().hex[:12]}"
with logger.contextualize(request_id=request_id):
try:
_require_non_empty_messages(request_data.messages)
routed = self._model_router.resolve_token_count_request(request_data)
tokens = self._token_counter(
routed.request.messages, routed.request.system, routed.request.tools
)
trace_event(
stage="routing",
event="api.route.resolved",
source="api",
kind="count_tokens",
provider_id=routed.resolved.provider_id,
provider_model=routed.resolved.provider_model,
provider_model_ref=routed.resolved.provider_model_ref,
gateway_model=routed.request.model,
)
trace_event(
stage="ingress",
event="api.count_tokens.completed",
source="api",
message_count=len(routed.request.messages),
input_tokens=tokens,
snapshot=api_messages_request_snapshot(routed.request),
)
return TokenCountResponse(input_tokens=tokens)
except ProviderError:
raise
except Exception as e:
_log_unexpected_service_exception(
self._settings,
e,
context="COUNT_TOKENS_ERROR",
request_id=request_id,
)
raise HTTPException(
status_code=_http_status_for_unexpected_service_exception(e),
detail=get_user_facing_error_message(e),
) from e