feat: 운영 안정성과 세션 음성 경험 개선

This commit is contained in:
Yun Chan 2026-07-31 00:13:08 +09:00
parent facc4ad2d9
commit c788343467
95 changed files with 8431 additions and 1785 deletions

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@ -1,19 +1,46 @@
# 엔진 게이트웨이
로컬 claude -p(Opus 4.8) 상주 멀티턴 풀. **컨테이너 밖(호스트)** 실행, api가 `ENGINE_URL`로 호출.
API가 `ENGINE_URL`로 호출하는 호스트 실행형 AI 공급자 게이트웨이. Claude CLI 상주 풀과
Anthropic API, Codex CLI, Agy CLI를 하나의 `/v1/generate`·`/v1/stream` 계약으로 라우팅한다.
## 실행
```
cd apps/api
```powershell
cd apps\api
python -m uvicorn engine_gateway.gateway:app --host 127.0.0.1 --port 9099
```
## API
- `POST /session {system_prompt, budget_usd}` -> `{session_id}` (회기=프로세스 1개)
- `POST /session/{id}/turn {content}` -> `{text, cost_usd, turns}`
- `DELETE /session/{id}`
- `GET /health`
## 공급자와 모델 탐색
## 검증 (2026-06-25)
세션 생성+멀티턴 2턴(서연 페르소나) 컨텍스트 유지 + 캐시 재사용 비용절감 실동작 확인.
환경변수: `CLAUDE_BIN`, `ENGINE_MODEL`(비우면 Opus4.8), `ENGINE_FALLBACK_MODEL`, `SESSION_BUDGET_USD`.
| 공급자 | 모델 원천 | 기본값 | 실행 방식 |
| --- | --- | --- | --- |
| `claude_cli` | CLI가 목록 명령을 제공하지 않아 공식 alias 정적 목록 | CLI 기본 / High | 기존 `claude -p` 상주 풀 |
| `claude_api` | Anthropic `GET /v1/models` | API 목록 첫 모델 / 지원 effort | Messages API |
| `codex_cli` | Codex app-server `model/list` | `gpt-5.6-terra` / Medium | 격리 cwd의 ephemeral `codex exec` |
| `agy_cli` | `agy models` | `gemini-3.6-flash-high` / High | 격리 cwd의 `agy --print --output-format stream-json` |
| `openai`, `solar` | 현재 어댑터 없음 | 없음 | 사용할 수 없음으로 명시 |
모델 목록은 60초 캐시하며 관리자가 강제 새로고침할 수 있다. 저장할 때 선택한 공급자·모델·추론
강도를 게이트웨이가 다시 검증하므로 임의 문자열이나 사용할 수 없는 조합은 운영값으로 들어가지 않는다.
## API
- `GET /health` — 얕은 프로세스 liveness
- `GET /ready?provider=&model=&reasoning_effort=` — 선택 조합으로 실제 생성 readiness 확인
- `GET /v1/capabilities?provider=&force=` — 모델·추론 강도 카탈로그
- `POST /v1/generate` — 단발 생성
- `POST /v1/stream` — SSE `token`/`done`/`error`; Claude CLI partial-message delta와 Agy stream-json delta를 실시간 전달
- `/session` 계열 — 명시 생성 없이도 첫 client stream에서 자동 바인딩되는 Claude CLI 회기별 상주 프로세스 풀
## 환경변수
- `CLAUDE_BIN`, `CODEX_BIN`, `AGY_BIN` — CLI 경로. Windows Codex는 npm shim보다 실제 native exe를 우선 탐색한다.
- `ANTHROPIC_API_KEY`, `ANTHROPIC_API_BASE` — Anthropic 모델 조회·Messages API.
- `ENGINE_CLI_CWD` — Codex/Agy 격리 작업 폴더. 기본은 시스템 임시 폴더의 `vignette-engine-runtime`.
- `ENGINE_CAPABILITY_CACHE_TTL_SECONDS` — 모델 카탈로그 TTL, 기본 60초.
- `ENGINE_CLI_TIMEOUT_SECONDS` — CLI 생성 상한, 기본 300초.
- `ENGINE_MODEL`, `ENGINE_FALLBACK_MODEL`, `SESSION_BUDGET_USD` — 기존 Claude CLI 풀 설정.
Windows의 Agy는 `--print` 프롬프트가 명령줄 인자여서 24,000자를 넘는 요청을 fail-closed한다.
대화 conversation id는 로컬 저장·삭제 수명주기 계약이 없어 재사용하지 않고 stateless stream으로 실행한다.
Anthropic API는 키가 없으면 사용할 수 없음으로 표시한다.

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@ -25,15 +25,24 @@ from app.contracts.engine_gateway import (
ENGINE_GATEWAY_SSE_DONE,
ENGINE_GATEWAY_SSE_ERROR,
ENGINE_GATEWAY_SSE_TOKEN,
EngineCapabilitiesResponse,
EngineMessage as GwMessage,
EngineProvider,
GenerateResponse,
GenerateRequest as GwGenerateReq,
ReasoningEffort,
StreamDoneEvent,
StreamErrorEvent,
StreamTokenEvent,
normalize_engine_gateway_model,
sse_frame,
)
from engine_gateway.provider_registry import (
ProviderError,
discover_capabilities,
generate_with_provider,
stream_with_provider,
)
CLAUDE_BIN = os.environ.get("CLAUDE_BIN", "claude")
DEFAULT_MODEL = os.environ.get("ENGINE_MODEL", "") # 비우면 CLI 기본(Opus 4.8)
@ -45,6 +54,8 @@ READY_BUDGET_USD = float(os.environ.get("ENGINE_READY_BUDGET_USD", "0.5"))
# 단발 생성(/v1/generate) 턴 타임아웃 — 페르소나 초안 생성 같은 대형 구조화 출력은
# 120초를 넘길 수 있어 설정 가능하게 한다(2026-07-15). 호출부(app ENGINE_TIMEOUT)와 정합 필요.
GENERATE_TURN_TIMEOUT_SECONDS = float(os.environ.get("ENGINE_GENERATE_TIMEOUT_SECONDS", "300"))
SESSION_IDLE_TTL_SECONDS = float(os.environ.get("ENGINE_SESSION_IDLE_TTL_SECONDS", "3600"))
MAX_RESIDENT_SESSIONS = max(1, int(os.environ.get("ENGINE_MAX_RESIDENT_SESSIONS", "24")))
GATEWAY_PROVIDER = "claude_cli"
GATEWAY_FALLBACK_MODEL_NAME = "claude-opus-4-8"
@ -53,13 +64,18 @@ GATEWAY_FALLBACK_MODEL_NAME = "claude-opus-4-8"
class GatewayPromptParts:
system_prompt: str
user_payload: str
current_user_payload: str
BASE_ARGS = [
"-p",
"--input-format", "stream-json",
"--output-format", "stream-json",
"--include-partial-messages",
"--verbose",
# 상담 축어록은 게이트웨이 프로세스 수명 안에서만 유지한다. Claude CLI의 로컬
# 세션 파일로 이중 저장하지 않아 개인정보 노출과 매 턴 디스크 I/O를 줄인다.
"--no-session-persistence",
"--dangerously-skip-permissions",
# 페르소나 격리: cwd/env/git status/메모리(CLAUDE.md) 등 per-machine 섹션을 시스템프롬프트에서
# 제거 → 내담자 AI가 자신이 개발 환경(Claude Code/Vignette repo) 안에 있음을 알아채 캐릭터를
@ -75,21 +91,26 @@ class EngineSession:
system_prompt: str | None = None,
budget: float = DEFAULT_BUDGET,
model: str | None = None,
reasoning_effort: ReasoningEffort | None = None,
):
self.id = uuid.uuid4().hex
self.system_prompt = system_prompt
self.budget = budget
self.model = normalize_engine_gateway_model(model)
self.reasoning_effort = reasoning_effort
self.proc: asyncio.subprocess.Process | None = None
self.lock = asyncio.Lock() # 한 회기 안의 턴은 직렬(상담 왕복)
self.cost_usd = 0.0
self.turns = 0
self.last_used_at = time.monotonic()
async def start(self) -> None:
args = [CLAUDE_BIN, *BASE_ARGS, "--max-budget-usd", str(self.budget)]
model = self.model or DEFAULT_MODEL
if model:
args += ["--model", model]
if self.reasoning_effort:
args += ["--effort", self.reasoning_effort]
if FALLBACK_MODEL:
args += ["--fallback-model", FALLBACK_MODEL]
if self.system_prompt:
@ -135,6 +156,7 @@ class EngineSession:
return obj
result = await asyncio.wait_for(_read_until_result(), timeout=timeout)
self.last_used_at = time.monotonic()
self.cost_usd = result.get("total_cost_usd", self.cost_usd)
self.turns += 1
error_detail = (
@ -186,7 +208,18 @@ class EngineSession:
except json.JSONDecodeError:
continue
t = obj.get("type")
if t == "assistant":
if t == "stream_event":
stream_event = obj.get("event") or {}
delta_payload = stream_event.get("delta") or {}
if (
stream_event.get("type") == "content_block_delta"
and delta_payload.get("type") == "text_delta"
):
delta = str(delta_payload.get("text") or "")
if delta:
emitted += delta
yield {"type": "delta", "text": delta}
elif t == "assistant":
# 이번 메시지의 텍스트 전체를 재구성
full = "".join(
c.get("text", "")
@ -202,6 +235,7 @@ class EngineSession:
emitted += delta if full.startswith(emitted) else full
yield {"type": "delta", "text": delta}
elif t == "result":
self.last_used_at = time.monotonic()
self.cost_usd = obj.get("total_cost_usd", self.cost_usd)
self.turns += 1
error_detail = (
@ -234,7 +268,8 @@ class EngineSession:
SESSIONS: dict[str, EngineSession] = {}
_READY_CACHE: dict[str, Any] = {"checked_at": 0.0, "ok": False, "detail": "not checked"}
_SESSION_RESOLVE_LOCK = asyncio.Lock()
_READY_CACHE: dict[tuple[str, str, str], dict[str, Any]] = {}
_READY_LOCK = asyncio.Lock()
app = FastAPI(title="Vignette Engine Gateway")
@ -250,18 +285,36 @@ class TurnReq(BaseModel):
@app.get("/health")
async def health():
return {"ok": True, "engine": "claude_p", "model": DEFAULT_MODEL or "default(opus-4-8)", "sessions": len(SESSIONS)}
return {
"ok": True,
"engine": "claude_cli",
"model": DEFAULT_MODEL or "gateway-default",
"sessions": len(SESSIONS),
}
def _ready_response(*, cached: bool, age_seconds: float = 0.0) -> JSONResponse:
ok = bool(_READY_CACHE.get("ok"))
def _ready_response(
entry: dict[str, Any],
*,
provider: EngineProvider,
model: str | None,
reasoning_effort: ReasoningEffort | None,
cached: bool,
age_seconds: float = 0.0,
) -> JSONResponse:
ok = bool(entry.get("ok"))
return JSONResponse(
{
"ok": ok,
"engine": "claude_p",
"model": DEFAULT_MODEL or "default(opus-4-8)",
"engine": provider,
"model": model or (
DEFAULT_MODEL or "default(opus-4-8)"
if provider == "claude_cli"
else "provider-default"
),
"reasoning_effort": reasoning_effort,
"sessions": len(SESSIONS),
"detail": _READY_CACHE.get("detail"),
"detail": entry.get("detail"),
"age_seconds": round(max(0.0, age_seconds), 3),
"cached": cached,
},
@ -270,43 +323,105 @@ def _ready_response(*, cached: bool, age_seconds: float = 0.0) -> JSONResponse:
@app.get("/ready")
async def ready(force: bool = False):
async def ready(
force: bool = False,
provider: EngineProvider = "claude_cli",
model: str | None = None,
reasoning_effort: ReasoningEffort | None = None,
):
"""Prove that claude -p can complete a real generation.
/health is shallow process liveness. This endpoint catches the installed-but-
not-authenticated CLI state before a learner reaches POST /sessions/:id/turn.
"""
age = time.monotonic() - float(_READY_CACHE.get("checked_at", 0.0) or 0.0)
cache_key = (provider, model or "", reasoning_effort or "")
entry = _READY_CACHE.get(
cache_key, {"checked_at": 0.0, "ok": False, "detail": "not checked"}
)
age = time.monotonic() - float(entry.get("checked_at", 0.0) or 0.0)
if not force and age < READY_TTL_SECONDS:
return _ready_response(cached=True, age_seconds=age)
return _ready_response(
entry,
provider=provider,
model=model,
reasoning_effort=reasoning_effort,
cached=True,
age_seconds=age,
)
async with _READY_LOCK:
age = time.monotonic() - float(_READY_CACHE.get("checked_at", 0.0) or 0.0)
if not force and age < READY_TTL_SECONDS:
return _ready_response(cached=True, age_seconds=age)
probe = EngineSession(
system_prompt="You are a readiness probe. Reply with exactly OK.",
budget=READY_BUDGET_USD,
entry = _READY_CACHE.get(
cache_key, {"checked_at": 0.0, "ok": False, "detail": "not checked"}
)
age = time.monotonic() - float(entry.get("checked_at", 0.0) or 0.0)
if not force and age < READY_TTL_SECONDS:
return _ready_response(
entry,
provider=provider,
model=model,
reasoning_effort=reasoning_effort,
cached=True,
age_seconds=age,
)
ok = False
detail = "unknown readiness failure"
try:
await probe.start()
result = await probe.turn("Reply with exactly OK.", timeout=READY_TIMEOUT_SECONDS)
if result.get("is_error"):
detail = str(result.get("error") or "engine returned an error")
else:
text = str(result.get("text") or "").strip()
ok = bool(text)
detail = text or "empty engine response"
except Exception as exc:
detail = str(exc)
finally:
await probe.close()
if provider == "claude_cli":
probe = EngineSession(
system_prompt="You are a readiness probe. Reply with exactly OK.",
budget=READY_BUDGET_USD,
model=model,
reasoning_effort=reasoning_effort,
)
try:
await probe.start()
result = await probe.turn(
"Reply with exactly OK.", timeout=READY_TIMEOUT_SECONDS
)
if result.get("is_error"):
detail = str(result.get("error") or "engine returned an error")
else:
text = str(result.get("text") or "").strip()
ok = bool(text)
detail = text or "empty engine response"
except Exception as exc:
detail = str(exc)
finally:
await probe.close()
else:
request = GwGenerateReq(
provider=provider,
model=model,
reasoning_effort=reasoning_effort,
max_tokens=16,
temperature=0,
messages=[GwMessage(role="user", content="Reply with exactly OK.")],
)
try:
result = await generate_with_provider(
request,
system_prompt="You are a readiness probe. Reply with exactly OK.",
user_payload="Reply with exactly OK.",
)
ok = bool(result.text.strip())
detail = result.text.strip() or "empty engine response"
except Exception as exc:
detail = str(exc)
_READY_CACHE.update({"checked_at": time.monotonic(), "ok": ok, "detail": detail})
return _ready_response(cached=False)
entry = {"checked_at": time.monotonic(), "ok": ok, "detail": detail}
_READY_CACHE[cache_key] = entry
return _ready_response(
entry,
provider=provider,
model=model,
reasoning_effort=reasoning_effort,
cached=False,
)
@app.get("/v1/capabilities", response_model=EngineCapabilitiesResponse)
async def v1_capabilities(provider: EngineProvider, force: bool = False):
return await discover_capabilities(provider, force=force)
@app.post("/session")
@ -344,10 +459,14 @@ async def close_session(sid: str):
def _split_messages(messages: list[GwMessage], *, ai_role: AIRole | None = None) -> GatewayPromptParts:
"""EngineMessage[] → named prompt parts for the current gateway turn."""
system_parts: list[str] = []
turn_control_parts: list[str] = []
non_system: list[GwMessage] = []
for m in messages:
if m.role == "system":
system_parts.append(m.content)
if ai_role == "client" and not m.cache:
turn_control_parts.append(m.content)
else:
system_parts.append(m.content)
else:
non_system.append(m)
@ -361,7 +480,15 @@ def _split_messages(messages: list[GwMessage], *, ai_role: AIRole | None = None)
last_user = non_system[last_user_index].content
user_payload = last_user
current_user_payload = last_user
if ai_role == "client" and last_user_index is not None:
control = "\n\n".join(p for p in turn_control_parts if p.strip())
current_sections: list[str] = []
if control:
current_sections.append("[현재 턴 상태와 연기 지시]\n" + control)
current_sections.append("[이번 상담자 발화]\n" + last_user)
current_user_payload = "\n\n".join(current_sections)
history_parts: list[str] = []
for m in non_system[:last_user_index]:
content = m.content.strip()
@ -369,11 +496,18 @@ def _split_messages(messages: list[GwMessage], *, ai_role: AIRole | None = None)
continue
speaker = "상담자" if m.role == "user" else "내담자"
history_parts.append(f"{speaker}: {content}")
history_sections = list(current_sections[:-1])
if history_parts:
user_payload = "[직전 대화]\n" + "\n".join(history_parts) + "\n\n[이번 상담자 발화]\n" + last_user
history_sections.append("[직전 대화]\n" + "\n".join(history_parts))
history_sections.append(current_sections[-1])
user_payload = "\n\n".join(history_sections)
system_prompt = "\n\n".join(p for p in system_parts if p.strip())
return GatewayPromptParts(system_prompt=system_prompt, user_payload=user_payload)
return GatewayPromptParts(
system_prompt=system_prompt,
user_payload=user_payload,
current_user_payload=current_user_payload,
)
def _inject_schema(system_prompt: str, schema: Optional[dict[str, Any]]) -> str:
@ -397,26 +531,90 @@ def _response_model_name(session: EngineSession) -> str:
async def _resolve_session(req: GwGenerateReq, system_prompt: str) -> tuple[EngineSession, bool]:
"""session_id 가 있고 살아있으면 재사용, 아니면 단발용 임시 세션 생성.
"""내담자 회기는 session_id 에 바인딩하고, 나머지는 단발 세션으로 실행한다.
반환: (session, ephemeral). ephemeral=True 호출부가 응답 close 한다.
"""
requested_model = normalize_engine_gateway_model(req.model)
if req.session_id and req.session_id in SESSIONS:
s = SESSIONS[req.session_id]
if s.proc is not None and s.proc.returncode is None:
if requested_model is None or (s.model or DEFAULT_MODEL) == requested_model:
return s, False
# 단발(또는 죽은 세션) → 1회성 세션
persistent_key = req.session_id if req.session_id and req.ai_role == "client" else None
if persistent_key:
async with _SESSION_RESOLVE_LOCK:
await _prune_resident_sessions(exclude={persistent_key})
existing = SESSIONS.get(persistent_key)
if existing is not None:
running = existing.proc is not None and existing.proc.returncode is None
same_model = requested_model is None or (existing.model or DEFAULT_MODEL) == requested_model
same_effort = req.reasoning_effort is None or existing.reasoning_effort == req.reasoning_effort
if running and same_model and same_effort:
existing.last_used_at = time.monotonic()
return existing, False
SESSIONS.pop(persistent_key, None)
await existing.close()
session = EngineSession(
system_prompt=system_prompt or None,
budget=DEFAULT_BUDGET,
model=requested_model,
reasoning_effort=req.reasoning_effort,
)
await session.start()
SESSIONS[persistent_key] = session
return session, False
# 평가·관리자 생성처럼 페르소나 회기와 정체성을 섞으면 안 되는 호출은 1회성 세션이다.
s = EngineSession(
system_prompt=system_prompt or None,
budget=DEFAULT_BUDGET,
model=requested_model,
reasoning_effort=req.reasoning_effort,
)
await s.start()
return s, True
async def _prune_resident_sessions(*, exclude: set[str] | None = None) -> None:
"""죽었거나 오래 유휴인 회기와 상한 초과 회기를 안전하게 정리한다."""
protected = exclude or set()
now = time.monotonic()
stale_keys = [
key
for key, session in SESSIONS.items()
if key not in protected
and not session.lock.locked()
and (
session.proc is None
or session.proc.returncode is not None
or now - session.last_used_at >= SESSION_IDLE_TTL_SECONDS
)
]
for key in stale_keys:
session = SESSIONS.pop(key, None)
if session is not None:
await session.close()
overflow = len(SESSIONS) - MAX_RESIDENT_SESSIONS + 1
if overflow <= 0:
return
candidates = sorted(
(
(key, session)
for key, session in SESSIONS.items()
if key not in protected and not session.lock.locked()
),
key=lambda item: item[1].last_used_at,
)
for key, session in candidates[:overflow]:
SESSIONS.pop(key, None)
await session.close()
def _session_turn_payload(session: EngineSession, prompt_parts: GatewayPromptParts) -> str:
"""상주 프로세스는 자체 대화기록을 가지므로 재사용 턴에는 L6를 중복 주입하지 않는다."""
if session.turns > 0:
return prompt_parts.current_user_payload
return prompt_parts.user_payload
@app.post("/v1/generate")
async def v1_generate(req: GwGenerateReq):
"""단발 생성 (평가 deep-loop, 회기종료 압축 등). GenerateResponse 호환 dict 반환."""
@ -425,9 +623,33 @@ async def v1_generate(req: GwGenerateReq):
if not prompt_parts.user_payload:
raise HTTPException(400, "no user message in payload")
provider = req.provider or "claude_cli"
if provider != "claude_cli":
try:
result = await generate_with_provider(
req,
system_prompt=system_prompt,
user_payload=prompt_parts.user_payload,
)
except ProviderError as exc:
raise HTTPException(502, f"engine provider error: {exc}") from exc
return GenerateResponse(
text=result.text,
model=result.model,
provider=result.provider,
tokens_in=result.tokens_in,
tokens_out=result.tokens_out,
cost_usd=result.cost_usd,
inference_geo=result.inference_geo,
structured=result.structured,
).model_dump()
s, ephemeral = await _resolve_session(req, system_prompt)
try:
result = await s.turn(prompt_parts.user_payload, timeout=GENERATE_TURN_TIMEOUT_SECONDS)
result = await s.turn(
_session_turn_payload(s, prompt_parts),
timeout=GENERATE_TURN_TIMEOUT_SECONDS,
)
finally:
if ephemeral:
await s.close()
@ -461,11 +683,53 @@ async def v1_stream(req: GwGenerateReq):
if not prompt_parts.user_payload:
raise HTTPException(400, "no user message in payload")
provider = req.provider or "claude_cli"
if provider != "claude_cli":
async def _provider_sse():
try:
async for event in stream_with_provider(
req,
system_prompt=system_prompt,
user_payload=prompt_parts.user_payload,
):
if event.type == "delta" and event.text:
yield sse_frame(
ENGINE_GATEWAY_SSE_TOKEN,
StreamTokenEvent(text=event.text),
)
elif event.type == "done" and event.result is not None:
result = event.result
yield sse_frame(
ENGINE_GATEWAY_SSE_DONE,
StreamDoneEvent(
provider=result.provider,
model=result.model,
tokens_in=result.tokens_in,
tokens_out=result.tokens_out,
cost_usd=result.cost_usd,
turns=1,
),
)
except ProviderError as exc:
yield sse_frame(
ENGINE_GATEWAY_SSE_ERROR,
StreamErrorEvent(detail=f"engine provider error: {exc}"),
)
return StreamingResponse(
_provider_sse(),
media_type="text/event-stream",
headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
)
s, ephemeral = await _resolve_session(req, system_prompt)
async def _sse():
try:
async for evt in s.turn_stream(prompt_parts.user_payload, timeout=600.0):
async for evt in s.turn_stream(
_session_turn_payload(s, prompt_parts),
timeout=600.0,
):
if evt.get("type") == "delta":
yield sse_frame(
ENGINE_GATEWAY_SSE_TOKEN,

View file

@ -1,16 +1,49 @@
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://vignette.local/schemas/engine_gateway_contract.v1.json",
"title": "EngineGatewayGoldenContract",
"type": "object",
"additionalProperties": false,
"required": [
"version",
"generate_request",
"generate_response",
"stream_frames",
"stream_packets",
"compatibility_lines"
],
"properties": {
"version": {
"const": 1
},
"generate_request": {
"$ref": "#/$defs/GenerateRequest"
},
"generate_response": {
"$ref": "#/$defs/GenerateResponse"
},
"stream_frames": {
"type": "array",
"items": {
"type": "string"
}
},
"stream_packets": {
"type": "array",
"items": {
"$ref": "#/$defs/StreamPacket"
}
},
"compatibility_lines": {
"type": "array",
"items": {
"type": "string"
}
}
},
"$defs": {
"EngineMessage": {
"properties": {
"cache": {
"default": false,
"title": "Cache",
"type": "boolean"
},
"content": {
"title": "Content",
"type": "string"
},
"role": {
"enum": [
"system",
@ -19,6 +52,15 @@
],
"title": "Role",
"type": "string"
},
"content": {
"title": "Content",
"type": "string"
},
"cache": {
"default": false,
"title": "Cache",
"type": "boolean"
}
},
"required": [
@ -40,11 +82,6 @@
"title": "Ai Role",
"type": "string"
},
"max_tokens": {
"default": 1024,
"title": "Max Tokens",
"type": "integer"
},
"messages": {
"items": {
"$ref": "#/$defs/EngineMessage"
@ -52,9 +89,25 @@
"title": "Messages",
"type": "array"
},
"metadata": {
"title": "Metadata",
"type": "object"
"provider": {
"anyOf": [
{
"enum": [
"claude_cli",
"claude_api",
"codex_cli",
"agy_cli",
"openai",
"solar"
],
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Provider"
},
"model": {
"anyOf": [
@ -68,9 +121,17 @@
"default": null,
"title": "Model"
},
"session_id": {
"reasoning_effort": {
"anyOf": [
{
"enum": [
"low",
"medium",
"high",
"xhigh",
"max",
"ultra"
],
"type": "string"
},
{
@ -78,7 +139,17 @@
}
],
"default": null,
"title": "Session Id"
"title": "Reasoning Effort"
},
"max_tokens": {
"default": 1024,
"title": "Max Tokens",
"type": "integer"
},
"temperature": {
"default": 0.7,
"title": "Temperature",
"type": "number"
},
"structured_schema": {
"anyOf": [
@ -92,10 +163,21 @@
"default": null,
"title": "Structured Schema"
},
"temperature": {
"default": 0.7,
"title": "Temperature",
"type": "number"
"session_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Session Id"
},
"metadata": {
"title": "Metadata",
"type": "object"
}
},
"required": [
@ -106,6 +188,28 @@
},
"GenerateResponse": {
"properties": {
"text": {
"title": "Text",
"type": "string"
},
"model": {
"title": "Model",
"type": "string"
},
"provider": {
"title": "Provider",
"type": "string"
},
"tokens_in": {
"default": 0,
"title": "Tokens In",
"type": "integer"
},
"tokens_out": {
"default": 0,
"title": "Tokens Out",
"type": "integer"
},
"cost_usd": {
"default": 0.0,
"title": "Cost Usd",
@ -123,14 +227,6 @@
"default": null,
"title": "Inference Geo"
},
"model": {
"title": "Model",
"type": "string"
},
"provider": {
"title": "Provider",
"type": "string"
},
"structured": {
"anyOf": [
{
@ -142,20 +238,6 @@
],
"default": null,
"title": "Structured"
},
"text": {
"title": "Text",
"type": "string"
},
"tokens_in": {
"default": 0,
"title": "Tokens In",
"type": "integer"
},
"tokens_out": {
"default": 0,
"title": "Tokens Out",
"type": "integer"
}
},
"required": [
@ -166,21 +248,29 @@
"title": "GenerateResponse",
"type": "object"
},
"StreamTokenEvent": {
"properties": {
"text": {
"title": "Text",
"type": "string"
}
},
"required": [
"text"
],
"title": "StreamTokenEvent",
"type": "object"
},
"StreamDoneEvent": {
"properties": {
"cost_usd": {
"default": 0.0,
"title": "Cost Usd",
"type": "number"
"provider": {
"title": "Provider",
"type": "string"
},
"model": {
"title": "Model",
"type": "string"
},
"provider": {
"title": "Provider",
"type": "string"
},
"tokens_in": {
"default": 0,
"title": "Tokens In",
@ -191,6 +281,11 @@
"title": "Tokens Out",
"type": "integer"
},
"cost_usd": {
"default": 0.0,
"title": "Cost Usd",
"type": "number"
},
"turns": {
"default": 0,
"title": "Turns",
@ -220,7 +315,12 @@
"StreamPacket": {
"oneOf": [
{
"type": "object",
"additionalProperties": false,
"required": [
"event",
"payload"
],
"properties": {
"event": {
"const": "token"
@ -228,15 +328,15 @@
"payload": {
"$ref": "#/$defs/StreamTokenEvent"
}
},
}
},
{
"type": "object",
"additionalProperties": false,
"required": [
"event",
"payload"
],
"type": "object"
},
{
"additionalProperties": false,
"properties": {
"event": {
"const": "done"
@ -244,15 +344,15 @@
"payload": {
"$ref": "#/$defs/StreamDoneEvent"
}
},
}
},
{
"type": "object",
"additionalProperties": false,
"required": [
"event",
"payload"
],
"type": "object"
},
{
"additionalProperties": false,
"properties": {
"event": {
"const": "error"
@ -260,71 +360,11 @@
"payload": {
"$ref": "#/$defs/StreamErrorEvent"
}
},
"required": [
"event",
"payload"
],
"type": "object"
}
}
]
},
"StreamTokenEvent": {
"properties": {
"text": {
"title": "Text",
"type": "string"
}
},
"required": [
"text"
],
"title": "StreamTokenEvent",
"type": "object"
}
},
"$id": "https://vignette.local/schemas/engine_gateway_contract.v1.json",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false,
"properties": {
"compatibility_lines": {
"items": {
"type": "string"
},
"type": "array"
},
"generate_request": {
"$ref": "#/$defs/GenerateRequest"
},
"generate_response": {
"$ref": "#/$defs/GenerateResponse"
},
"stream_frames": {
"items": {
"type": "string"
},
"type": "array"
},
"stream_packets": {
"items": {
"$ref": "#/$defs/StreamPacket"
},
"type": "array"
},
"version": {
"const": 1
}
},
"required": [
"version",
"generate_request",
"generate_response",
"stream_frames",
"stream_packets",
"compatibility_lines"
],
"title": "EngineGatewayGoldenContract",
"type": "object",
"x-engine-gateway-sse-events": [
"token",
"done",

View file

@ -0,0 +1,836 @@
"""Provider 탐색과 Claude CLI 이외 실행 어댑터.
Provider별 CLI/API 세부 구현은 게이트웨이가 소유한다. 애플리케이션과 맞닿는
wire 계약은 ``app.contracts.engine_gateway`` 유지한다.
"""
from __future__ import annotations
import asyncio
import json
import os
import shutil
import tempfile
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Any, AsyncIterator, Iterable, Literal, cast
import httpx
from app.contracts.engine_gateway import (
ENGINE_GATEWAY_DEFAULT_MODEL_SENTINEL,
ENGINE_PROVIDER_DEFAULTS,
ENGINE_REASONING_EFFORTS,
EngineCapabilitiesResponse,
EngineModelOption,
EngineProvider,
GenerateRequest,
ReasoningEffort,
normalize_engine_gateway_model,
)
CODEX_DEFAULT_MODEL, CODEX_DEFAULT_EFFORT = ENGINE_PROVIDER_DEFAULTS["codex_cli"]
AGY_DEFAULT_MODEL, AGY_DEFAULT_EFFORT = ENGINE_PROVIDER_DEFAULTS["agy_cli"]
CLAUDE_CLI_DEFAULT_MODEL, CLAUDE_DEFAULT_EFFORT = ENGINE_PROVIDER_DEFAULTS[
"claude_cli"
]
CAPABILITY_CACHE_TTL_SECONDS = float(
os.environ.get("ENGINE_CAPABILITY_CACHE_TTL_SECONDS", "60")
)
CLI_TIMEOUT_SECONDS = float(os.environ.get("ENGINE_CLI_TIMEOUT_SECONDS", "300"))
ANTHROPIC_API_BASE = os.environ.get(
"ANTHROPIC_API_BASE", "https://api.anthropic.com"
).rstrip("/")
class ProviderError(RuntimeError):
"""자격 증명을 노출하지 않고 provider 탐색·생성 실패를 전달한다."""
@dataclass(frozen=True, slots=True)
class ProviderGenerateResult:
text: str
model: str
provider: EngineProvider
tokens_in: int = 0
tokens_out: int = 0
cost_usd: float = 0.0
inference_geo: str | None = None
structured: dict[str, Any] | None = None
@dataclass(frozen=True, slots=True)
class ProviderStreamEvent:
type: Literal["delta", "done"]
text: str = ""
result: ProviderGenerateResult | None = None
_CAPABILITY_CACHE: dict[EngineProvider, tuple[float, EngineCapabilitiesResponse]] = {}
_CAPABILITY_LOCK = asyncio.Lock()
def clear_capability_cache() -> None:
_CAPABILITY_CACHE.clear()
def _now() -> float:
return time.time()
def _efforts(values: Iterable[str]) -> list[ReasoningEffort]:
allowed = set(ENGINE_REASONING_EFFORTS)
return [cast(ReasoningEffort, value) for value in values if value in allowed]
def _binary(env_name: str, fallback: str) -> str | None:
configured = os.environ.get(env_name, "").strip()
if configured:
path = Path(configured)
return str(path) if path.exists() else shutil.which(configured)
if os.name == "nt":
shim = shutil.which(fallback)
if fallback == "codex" and shim:
npm_vendor_root = (
Path(shim).parent
/ "node_modules"
/ "@openai"
/ "codex"
/ "node_modules"
/ "@openai"
)
native_candidates = sorted(
npm_vendor_root.glob("codex-win32-*/vendor/*/bin/codex.exe")
)
if native_candidates:
return str(native_candidates[0])
executable = shutil.which(f"{fallback}.exe")
if executable:
return executable
return shim
return shutil.which(fallback)
def _safe_process_error(stderr: bytes, fallback: str) -> str:
detail = stderr.decode("utf-8", errors="replace").strip()
if not detail:
return fallback
return detail[-1200:]
async def _run_process(
args: list[str],
*,
input_text: str | None = None,
cwd: str | None = None,
timeout: float = CLI_TIMEOUT_SECONDS,
) -> tuple[str, str]:
proc = await asyncio.create_subprocess_exec(
*args,
stdin=asyncio.subprocess.PIPE if input_text is not None else asyncio.subprocess.DEVNULL,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
cwd=cwd,
)
try:
stdout, stderr = await asyncio.wait_for(
proc.communicate(
input_text.encode("utf-8") if input_text is not None else None
),
timeout=timeout,
)
except TimeoutError as exc:
proc.kill()
await proc.wait()
raise ProviderError(f"provider 명령이 {timeout:.0f}초 안에 끝나지 않았습니다.") from exc
if proc.returncode != 0:
raise ProviderError(
_safe_process_error(stderr, f"provider 명령 실패: 종료 코드 {proc.returncode}")
)
return (
stdout.decode("utf-8", errors="replace"),
stderr.decode("utf-8", errors="replace"),
)
def _unavailable(provider: EngineProvider, detail: str) -> EngineCapabilitiesResponse:
return EngineCapabilitiesResponse(
provider=provider,
available=False,
source="unavailable",
detail=detail,
fetched_at=_now(),
)
def _display_model_name(model_id: str) -> str:
parts = model_id.split("-")
effort = parts[-1] if parts and parts[-1] in {"low", "medium", "high"} else None
if effort:
parts = parts[:-1]
words: list[str] = []
for part in parts:
if part.lower() in {"gpt", "oss"}:
words.append(part.upper())
elif any(char.isdigit() for char in part):
words.append(part)
else:
words.append(part.capitalize())
label = " ".join(words)
return f"{label} ({effort.capitalize()})" if effort else label
async def _discover_claude_cli() -> EngineCapabilitiesResponse:
if _binary("CLAUDE_BIN", "claude") is None:
return _unavailable("claude_cli", "Claude CLI를 찾을 수 없습니다.")
efforts = _efforts(("low", "medium", "high", "xhigh", "max"))
models = [
EngineModelOption(
id=CLAUDE_CLI_DEFAULT_MODEL,
label="Claude CLI 기본 모델",
description="로그인된 Claude CLI가 권장하는 기본 모델을 사용합니다.",
reasoning_efforts=efforts,
default_reasoning_effort=CLAUDE_DEFAULT_EFFORT,
is_default=True,
),
*[
EngineModelOption(
id=model,
label=f"Claude {model.capitalize()} 최신",
description="Claude CLI가 제공하는 안정 alias입니다.",
reasoning_efforts=efforts,
default_reasoning_effort=CLAUDE_DEFAULT_EFFORT,
)
for model in ("opus", "sonnet", "fable")
],
]
return EngineCapabilitiesResponse(
provider="claude_cli",
available=True,
source="static_cli",
models=models,
default_model=CLAUDE_CLI_DEFAULT_MODEL,
default_reasoning_effort=CLAUDE_DEFAULT_EFFORT,
detail="Claude CLI는 모델 목록 명령이 없어 공식 alias를 사용합니다.",
fetched_at=_now(),
)
async def _codex_model_list(binary: str) -> dict[str, Any]:
proc = await asyncio.create_subprocess_exec(
binary,
"app-server",
stdin=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
if proc.stdin is None or proc.stdout is None:
proc.kill()
await proc.wait()
raise ProviderError("Codex app-server stdio를 열 수 없습니다.")
messages = (
{
"method": "initialize",
"id": 0,
"params": {
"clientInfo": {
"name": "vignette_engine_gateway",
"title": "Vignette Engine Gateway",
"version": "1.0.0",
}
},
},
{"method": "initialized", "params": {}},
{
"method": "model/list",
"id": 6,
"params": {"limit": 100, "includeHidden": False},
},
)
for message in messages:
proc.stdin.write((json.dumps(message) + "\n").encode("utf-8"))
await proc.stdin.drain()
try:
while True:
raw = await asyncio.wait_for(proc.stdout.readline(), timeout=20)
if not raw:
raise ProviderError("Codex model/list 응답이 비어 있습니다.")
try:
message = json.loads(raw)
except json.JSONDecodeError:
continue
if message.get("id") == 6:
if message.get("error"):
raise ProviderError(str(message["error"].get("message") or message["error"]))
return cast(dict[str, Any], message.get("result") or {})
except TimeoutError as exc:
raise ProviderError("Codex model/list 응답 시간이 초과됐습니다.") from exc
finally:
if proc.stdin is not None and not proc.stdin.is_closing():
proc.stdin.close()
if proc.returncode is None:
try:
await asyncio.wait_for(proc.wait(), timeout=2)
except TimeoutError:
proc.kill()
await proc.wait()
async def _discover_codex_cli() -> EngineCapabilitiesResponse:
binary = _binary("CODEX_BIN", "codex")
if binary is None:
return _unavailable("codex_cli", "Codex CLI를 찾을 수 없습니다.")
try:
payload = await _codex_model_list(binary)
except (OSError, ProviderError) as exc:
return _unavailable("codex_cli", f"Codex 모델 조회 실패: {exc}")
raw_models = payload.get("data") if isinstance(payload, dict) else []
models: list[EngineModelOption] = []
for item in raw_models if isinstance(raw_models, list) else []:
if not isinstance(item, dict) or item.get("hidden"):
continue
model_id = str(item.get("model") or item.get("id") or "").strip()
if not model_id:
continue
supported = item.get("supportedReasoningEfforts") or []
efforts = _efforts(
str(entry.get("reasoningEffort") or "")
for entry in supported
if isinstance(entry, dict)
)
raw_default = str(item.get("defaultReasoningEffort") or "")
default_effort = (
cast(ReasoningEffort, raw_default)
if raw_default in efforts
else (efforts[0] if efforts else None)
)
models.append(
EngineModelOption(
id=model_id,
label=str(item.get("displayName") or model_id),
description=str(item.get("description") or ""),
reasoning_efforts=efforts,
default_reasoning_effort=default_effort,
is_default=model_id == CODEX_DEFAULT_MODEL,
)
)
if not models:
return _unavailable("codex_cli", "Codex가 선택 가능한 모델을 반환하지 않았습니다.")
default_model = (
CODEX_DEFAULT_MODEL
if any(model.id == CODEX_DEFAULT_MODEL for model in models)
else next((model.id for model in models if model.is_default), models[0].id)
)
selected = next(model for model in models if model.id == default_model)
default_effort = (
CODEX_DEFAULT_EFFORT
if CODEX_DEFAULT_EFFORT in selected.reasoning_efforts
else selected.default_reasoning_effort
)
return EngineCapabilitiesResponse(
provider="codex_cli",
available=True,
source="live_cli",
models=models,
default_model=default_model,
default_reasoning_effort=default_effort,
detail="Codex app-server model/list에서 실시간 조회했습니다.",
fetched_at=_now(),
)
async def _discover_agy_cli() -> EngineCapabilitiesResponse:
binary = _binary("AGY_BIN", "agy")
if binary is None:
return _unavailable("agy_cli", "Agy CLI를 찾을 수 없습니다.")
try:
stdout, _ = await _run_process([binary, "models"], timeout=30)
except (OSError, ProviderError) as exc:
return _unavailable("agy_cli", f"Agy 모델 조회 실패: {exc}")
models: list[EngineModelOption] = []
for line in stdout.splitlines():
model_id = line.strip()
if not model_id or any(char.isspace() for char in model_id):
continue
suffix = model_id.rsplit("-", 1)[-1]
if suffix in {"low", "medium", "high"}:
efforts = _efforts((suffix,))
default_effort = cast(ReasoningEffort, suffix)
else:
efforts = _efforts(("low", "medium", "high"))
default_effort = AGY_DEFAULT_EFFORT if model_id == AGY_DEFAULT_MODEL else "medium"
models.append(
EngineModelOption(
id=model_id,
label=_display_model_name(model_id),
description="Agy CLI가 현재 계정에 노출한 모델입니다.",
reasoning_efforts=efforts,
default_reasoning_effort=default_effort,
is_default=model_id == AGY_DEFAULT_MODEL,
)
)
if not models:
return _unavailable("agy_cli", "Agy가 선택 가능한 모델을 반환하지 않았습니다.")
default_model = (
AGY_DEFAULT_MODEL
if any(model.id == AGY_DEFAULT_MODEL for model in models)
else models[0].id
)
selected = next(model for model in models if model.id == default_model)
return EngineCapabilitiesResponse(
provider="agy_cli",
available=True,
source="live_cli",
models=models,
default_model=default_model,
default_reasoning_effort=selected.default_reasoning_effort,
detail="agy models에서 실시간 조회했습니다.",
fetched_at=_now(),
)
async def _discover_claude_api() -> EngineCapabilitiesResponse:
api_key = os.environ.get("ANTHROPIC_API_KEY", "").strip()
if not api_key:
return _unavailable("claude_api", "ANTHROPIC_API_KEY가 설정되지 않았습니다.")
try:
async with httpx.AsyncClient(timeout=20) as client:
response = await client.get(
f"{ANTHROPIC_API_BASE}/v1/models",
params={"limit": 100},
headers={
"x-api-key": api_key,
"anthropic-version": "2023-06-01",
},
)
response.raise_for_status()
payload = response.json()
except (httpx.HTTPError, ValueError) as exc:
return _unavailable("claude_api", f"Anthropic 모델 조회 실패: {exc}")
models: list[EngineModelOption] = []
for item in payload.get("data", []) if isinstance(payload, dict) else []:
if not isinstance(item, dict):
continue
model_id = str(item.get("id") or "").strip()
if not model_id:
continue
effort_capability = (item.get("capabilities") or {}).get("effort") or {}
efforts = _efforts(
effort
for effort in ENGINE_REASONING_EFFORTS
if isinstance(effort_capability.get(effort), dict)
and effort_capability[effort].get("supported")
)
default_effort: ReasoningEffort | None = (
CLAUDE_DEFAULT_EFFORT
if CLAUDE_DEFAULT_EFFORT in efforts
else (efforts[0] if efforts else None)
)
models.append(
EngineModelOption(
id=model_id,
label=str(item.get("display_name") or model_id),
description="Anthropic Models API가 현재 키에 노출한 모델입니다.",
reasoning_efforts=efforts,
default_reasoning_effort=default_effort,
)
)
if not models:
return _unavailable("claude_api", "Anthropic이 선택 가능한 모델을 반환하지 않았습니다.")
configured_default = os.environ.get("ANTHROPIC_MODEL", "").strip()
default_model = (
configured_default
if configured_default and any(model.id == configured_default for model in models)
else models[0].id
)
selected = next(model for model in models if model.id == default_model)
selected.is_default = True
return EngineCapabilitiesResponse(
provider="claude_api",
available=True,
source="live_api",
models=models,
default_model=default_model,
default_reasoning_effort=selected.default_reasoning_effort,
detail="Anthropic /v1/models에서 실시간 조회했습니다.",
fetched_at=_now(),
)
async def _discover(provider: EngineProvider) -> EngineCapabilitiesResponse:
if provider == "claude_cli":
return await _discover_claude_cli()
if provider == "claude_api":
return await _discover_claude_api()
if provider == "codex_cli":
return await _discover_codex_cli()
if provider == "agy_cli":
return await _discover_agy_cli()
return _unavailable(provider, f"{provider} 어댑터는 아직 모델 탐색을 지원하지 않습니다.")
async def discover_capabilities(
provider: EngineProvider, *, force: bool = False
) -> EngineCapabilitiesResponse:
cached = _CAPABILITY_CACHE.get(provider)
if (
not force
and cached is not None
and time.monotonic() - cached[0] < CAPABILITY_CACHE_TTL_SECONDS
):
return cached[1].model_copy(deep=True)
async with _CAPABILITY_LOCK:
cached = _CAPABILITY_CACHE.get(provider)
if (
not force
and cached is not None
and time.monotonic() - cached[0] < CAPABILITY_CACHE_TTL_SECONDS
):
return cached[1].model_copy(deep=True)
result = await _discover(provider)
_CAPABILITY_CACHE[provider] = (time.monotonic(), result)
return result.model_copy(deep=True)
def _cli_prompt(system_prompt: str, user_payload: str) -> str:
parts = []
if system_prompt.strip():
parts.append("[시스템 지침]\n" + system_prompt.strip())
parts.append("[응답할 입력]\n" + user_payload.strip())
return "\n\n".join(parts)
def _cli_runtime_cwd() -> Path:
path = Path(
os.environ.get(
"ENGINE_CLI_CWD",
str(Path(tempfile.gettempdir()) / "vignette-engine-runtime"),
)
)
path.mkdir(parents=True, exist_ok=True)
return path
async def _resolve_selection(
req: GenerateRequest, provider: EngineProvider
) -> tuple[str, ReasoningEffort | None]:
capabilities = await discover_capabilities(provider)
if not capabilities.available:
raise ProviderError(capabilities.detail or f"{provider}를 사용할 수 없습니다.")
requested_model = normalize_engine_gateway_model(req.model)
model = requested_model or capabilities.default_model
option = next((item for item in capabilities.models if item.id == model), None)
if option is None:
raise ProviderError(f"{provider}에서 사용할 수 없는 모델입니다: {model}")
effort = req.reasoning_effort or option.default_reasoning_effort
if effort is not None and effort not in option.reasoning_efforts:
raise ProviderError(f"{model}에서 사용할 수 없는 추론 강도입니다: {effort}")
return option.id, effort
def _structured_or_none(text: str, req: GenerateRequest) -> dict[str, Any] | None:
if not req.structured_schema:
return None
try:
parsed = json.loads(text)
except (json.JSONDecodeError, TypeError):
return None
return parsed if isinstance(parsed, dict) else None
async def _generate_codex(
req: GenerateRequest, system_prompt: str, user_payload: str
) -> ProviderGenerateResult:
binary = _binary("CODEX_BIN", "codex")
if binary is None:
raise ProviderError("Codex CLI를 찾을 수 없습니다.")
model, effort = await _resolve_selection(req, "codex_cli")
cli_cwd = _cli_runtime_cwd()
args = [
binary,
"exec",
"--json",
"--ephemeral",
"--skip-git-repo-check",
"--ignore-user-config",
"--ignore-rules",
"--sandbox",
"read-only",
"-C",
str(cli_cwd),
"-m",
model,
]
if effort:
args += ["-c", f'model_reasoning_effort="{effort}"']
args.append("-")
stdout, _ = await _run_process(
args,
input_text=_cli_prompt(system_prompt, user_payload),
cwd=str(cli_cwd),
)
text = ""
tokens_in = 0
tokens_out = 0
for line in stdout.splitlines():
try:
event = json.loads(line)
except json.JSONDecodeError:
continue
if event.get("type") == "item.completed":
item = event.get("item") or {}
if item.get("type") == "agent_message":
text = str(item.get("text") or text)
elif event.get("type") == "turn.completed":
usage = event.get("usage") or {}
tokens_in = int(usage.get("input_tokens") or 0)
tokens_out = int(usage.get("output_tokens") or 0)
elif event.get("type") in {"turn.failed", "error"}:
raise ProviderError(str(event.get("message") or event))
if not text.strip():
raise ProviderError("Codex CLI가 최종 응답을 반환하지 않았습니다.")
return ProviderGenerateResult(
text=text,
model=model,
provider="codex_cli",
tokens_in=tokens_in,
tokens_out=tokens_out,
structured=_structured_or_none(text, req),
)
async def _generate_agy(
req: GenerateRequest, system_prompt: str, user_payload: str
) -> ProviderGenerateResult:
binary = _binary("AGY_BIN", "agy")
if binary is None:
raise ProviderError("Agy CLI를 찾을 수 없습니다.")
model, effort = await _resolve_selection(req, "agy_cli")
prompt = _cli_prompt(system_prompt, user_payload)
if os.name == "nt" and len(prompt) > 24_000:
raise ProviderError(
"Agy CLI 프롬프트가 Windows 명령줄 안전 한도(24,000자)를 초과했습니다."
)
args = [binary, "--model", model, "--sandbox"]
if effort:
args += ["--effort", effort]
args += ["--print-timeout", f"{int(CLI_TIMEOUT_SECONDS)}s"]
# Agy의 --print는 바로 뒤 토큰을 프롬프트로 해석하며 stdin 입력은
# 지원하지 않는다. 옵션을 모두 앞에 두고 프롬프트를 마지막에 둔다.
args += ["--print", prompt]
stdout, _ = await _run_process(args, cwd=str(_cli_runtime_cwd()))
text = stdout.strip()
if not text:
raise ProviderError("Agy CLI가 최종 응답을 반환하지 않았습니다.")
return ProviderGenerateResult(
text=text,
model=model,
provider="agy_cli",
structured=_structured_or_none(text, req),
)
async def _stream_agy(
req: GenerateRequest, system_prompt: str, user_payload: str
) -> AsyncIterator[ProviderStreamEvent]:
"""Agy stream-json의 agent_response delta를 게이트웨이 토큰으로 전달한다.
Agy print 모드는 대화 내용을 로컬 conversation 저장소에 남길 있으므로 여기서는
--continue/--conversation을 쓰지 않는다. 회기 메모리는 요청의 마스킹된 prompt가
소유하고, 프로세스는 응답 종료한다.
"""
binary = _binary("AGY_BIN", "agy")
if binary is None:
raise ProviderError("Agy CLI를 찾을 수 없습니다.")
model, effort = await _resolve_selection(req, "agy_cli")
prompt = _cli_prompt(system_prompt, user_payload)
if os.name == "nt" and len(prompt) > 24_000:
raise ProviderError(
"Agy CLI 프롬프트가 Windows 명령줄 안전 한도(24,000자)를 초과했습니다."
)
args = [binary, "--model", model, "--sandbox"]
if effort:
args += ["--effort", effort]
args += [
"--print-timeout",
f"{int(CLI_TIMEOUT_SECONDS)}s",
"--output-format",
"stream-json",
"--print",
prompt,
]
proc = await asyncio.create_subprocess_exec(
*args,
cwd=str(_cli_runtime_cwd()),
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
assert proc.stdout is not None
assert proc.stderr is not None
stderr_task = asyncio.create_task(proc.stderr.read())
emitted = ""
final_text = ""
tokens_in = 0
tokens_out = 0
result_status = ""
try:
async with asyncio.timeout(CLI_TIMEOUT_SECONDS):
while True:
raw = await proc.stdout.readline()
if not raw:
break
try:
event = json.loads(raw.decode("utf-8", errors="replace"))
except json.JSONDecodeError:
continue
if event.get("event") == "step_update":
update = event.get("step_update") or {}
if update.get("step_type") == "agent_response":
delta = str(update.get("text_delta") or "")
if delta:
emitted += delta
yield ProviderStreamEvent(type="delta", text=delta)
elif event.get("event") == "result":
result = event.get("result") or {}
result_status = str(result.get("status") or "")
final_text = str(result.get("response") or "")
usage = result.get("usage") or {}
tokens_in = int(usage.get("input_tokens") or 0)
tokens_out = int(usage.get("output_tokens") or 0)
returncode = await proc.wait()
except TimeoutError as exc:
raise ProviderError(
f"Agy CLI 응답 시간이 {int(CLI_TIMEOUT_SECONDS)}초를 넘었습니다."
) from exc
finally:
if proc.returncode is None:
proc.kill()
await proc.wait()
stderr = await stderr_task
if returncode != 0:
raise ProviderError(_safe_process_error(stderr, f"Agy CLI exit {returncode}"))
if result_status and result_status != "SUCCESS":
raise ProviderError(f"Agy CLI 생성 실패: {result_status}")
resolved_text = final_text or emitted
if not resolved_text.strip():
raise ProviderError("Agy CLI가 최종 응답을 반환하지 않았습니다.")
if final_text and final_text.startswith(emitted):
remainder = final_text[len(emitted) :]
if remainder:
emitted += remainder
yield ProviderStreamEvent(type="delta", text=remainder)
elif not emitted:
emitted = resolved_text
yield ProviderStreamEvent(type="delta", text=resolved_text)
yield ProviderStreamEvent(
type="done",
result=ProviderGenerateResult(
text=resolved_text,
model=model,
provider="agy_cli",
tokens_in=tokens_in,
tokens_out=tokens_out,
structured=_structured_or_none(resolved_text, req),
),
)
async def _generate_claude_api(
req: GenerateRequest, system_prompt: str
) -> ProviderGenerateResult:
api_key = os.environ.get("ANTHROPIC_API_KEY", "").strip()
if not api_key:
raise ProviderError("ANTHROPIC_API_KEY가 설정되지 않았습니다.")
model, effort = await _resolve_selection(req, "claude_api")
messages = [
{"role": message.role, "content": message.content}
for message in req.messages
if message.role != "system"
]
payload: dict[str, Any] = {
"model": model,
"max_tokens": req.max_tokens,
"temperature": req.temperature,
"messages": messages,
}
if system_prompt:
payload["system"] = system_prompt
if effort:
payload["output_config"] = {"effort": effort}
try:
async with httpx.AsyncClient(timeout=CLI_TIMEOUT_SECONDS) as client:
response = await client.post(
f"{ANTHROPIC_API_BASE}/v1/messages",
headers={
"x-api-key": api_key,
"anthropic-version": "2023-06-01",
},
json=payload,
)
response.raise_for_status()
body = response.json()
except (httpx.HTTPError, ValueError) as exc:
raise ProviderError(f"Anthropic Messages API 호출 실패: {exc}") from exc
text = "".join(
str(block.get("text") or "")
for block in body.get("content", [])
if isinstance(block, dict) and block.get("type") == "text"
)
if not text:
raise ProviderError("Anthropic Messages API가 텍스트 응답을 반환하지 않았습니다.")
usage = body.get("usage") or {}
inference_geo = body.get("inference_geo")
return ProviderGenerateResult(
text=text,
model=str(body.get("model") or model),
provider="claude_api",
tokens_in=int(usage.get("input_tokens") or 0),
tokens_out=int(usage.get("output_tokens") or 0),
inference_geo=str(inference_geo) if inference_geo else None,
structured=_structured_or_none(text, req),
)
async def generate_with_provider(
req: GenerateRequest,
*,
system_prompt: str,
user_payload: str,
) -> ProviderGenerateResult:
provider = req.provider
if provider == "codex_cli":
return await _generate_codex(req, system_prompt, user_payload)
if provider == "agy_cli":
return await _generate_agy(req, system_prompt, user_payload)
if provider == "claude_api":
return await _generate_claude_api(req, system_prompt)
raise ProviderError(f"이 게이트웨이에서 실행할 수 없는 provider입니다: {provider}")
async def stream_with_provider(
req: GenerateRequest,
*,
system_prompt: str,
user_payload: str,
) -> AsyncIterator[ProviderStreamEvent]:
"""Provider가 제공하는 가장 이른 출력 단위를 공통 delta/done 계약으로 바꾼다."""
if req.provider == "agy_cli":
async for event in _stream_agy(req, system_prompt, user_payload):
yield event
return
result = await generate_with_provider(
req,
system_prompt=system_prompt,
user_payload=user_payload,
)
yield ProviderStreamEvent(type="delta", text=result.text)
yield ProviderStreamEvent(type="done", result=result)

View file

@ -4,7 +4,8 @@ import shutil
import subprocess
import unittest
from pathlib import Path
from unittest.mock import patch
from types import SimpleNamespace
from unittest.mock import AsyncMock, patch
from jsonschema import Draft202012Validator
@ -36,6 +37,28 @@ class _FakeProcess:
self.returncode = -9
class _StreamStdin(_FakeStdin):
def __init__(self):
self.writes = []
def write(self, value):
self.writes.append(value)
async def drain(self):
return None
class _StreamStdout:
def __init__(self, objects):
self.lines = [
(json.dumps(obj, ensure_ascii=False) + "\n").encode("utf-8")
for obj in objects
]
async def readline(self):
return self.lines.pop(0) if self.lines else b""
def _capture_subprocess():
captured = []
@ -159,6 +182,7 @@ class _FakeStreamSession:
def __init__(self, events, model="test-model"):
self.events = events
self.model = model
self.turns = 0
self.closed = False
async def turn_stream(self, content, timeout=600.0):
@ -194,6 +218,42 @@ class GatewayModelTest(unittest.TestCase):
self.assertIs(engine_client.GenerateRequest, contract.GenerateRequest)
self.assertEqual(contract.ENGINE_GATEWAY_SSE_EVENTS, ("token", "done", "error"))
def test_engine_client_payload_includes_provider_model_and_reasoning_defaults(self):
client = engine_client.EngineClient("http://127.0.0.1:9099")
client.engine_mode = "codex_cli"
client.live_client_provider = None
client.default_model = "gpt-5.6-terra"
client.default_reasoning_effort = "medium"
payload = client._payload(
contract.GenerateRequest(
messages=[contract.EngineMessage(role="user", content="hello")]
)
)
self.assertEqual(payload["provider"], "codex_cli")
self.assertEqual(payload["model"], "gpt-5.6-terra")
self.assertEqual(payload["reasoning_effort"], "medium")
def test_engine_client_uses_dedicated_live_provider_without_foreign_model_defaults(self):
client = engine_client.EngineClient("http://127.0.0.1:9099")
client.engine_mode = "agy_cli"
client.default_model = "gemini-3.6-flash-high"
client.default_reasoning_effort = "high"
client.live_client_provider = "claude_cli"
payload = client._payload(
contract.GenerateRequest(
ai_role="client",
session_id="session-id",
messages=[contract.EngineMessage(role="user", content="hello")],
)
)
self.assertEqual(payload["provider"], "claude_cli")
self.assertNotIn("model", payload)
self.assertNotIn("reasoning_effort", payload)
def test_split_messages_returns_named_current_turn_prompt_parts(self):
parts = gateway._split_messages(
[
@ -209,11 +269,13 @@ class GatewayModelTest(unittest.TestCase):
self.assertIsInstance(parts, gateway.GatewayPromptParts)
self.assertEqual(parts.system_prompt, "system one\n\nsystem two")
self.assertEqual(parts.user_payload, "current client")
self.assertEqual(parts.current_user_payload, "current client")
def test_split_messages_injects_client_history_before_current_counselor_turn(self):
parts = gateway._split_messages(
[
contract.EngineMessage(role="system", content="client persona system"),
contract.EngineMessage(role="system", content="client persona system", cache=True),
contract.EngineMessage(role="system", content="dynamic state", cache=False),
contract.EngineMessage(role="user", content="상담자 이전 질문"),
contract.EngineMessage(role="assistant", content="내담자 이전 답변"),
contract.EngineMessage(role="user", content="이번 상담자 발화"),
@ -222,11 +284,15 @@ class GatewayModelTest(unittest.TestCase):
)
self.assertEqual(parts.system_prompt, "client persona system")
self.assertIn("[현재 턴 상태와 연기 지시]", parts.user_payload)
self.assertIn("dynamic state", parts.user_payload)
self.assertIn("[직전 대화]", parts.user_payload)
self.assertIn("상담자: 상담자 이전 질문", parts.user_payload)
self.assertIn("내담자: 내담자 이전 답변", parts.user_payload)
self.assertIn("[이번 상담자 발화]", parts.user_payload)
self.assertTrue(parts.user_payload.rstrip().endswith("이번 상담자 발화"))
self.assertNotIn("[직전 대화]", parts.current_user_payload)
self.assertIn("dynamic state", parts.current_user_payload)
def test_split_messages_does_not_inject_history_for_evaluator_requests(self):
parts = gateway._split_messages(
@ -250,6 +316,11 @@ class GatewayModelTest(unittest.TestCase):
self.assertEqual(parts.system_prompt, "system only")
self.assertEqual(parts.user_payload, "")
self.assertEqual(parts.current_user_payload, "")
def test_claude_process_enables_real_partial_streaming_without_disk_session_copy(self):
self.assertIn("--include-partial-messages", gateway.BASE_ARGS)
self.assertIn("--no-session-persistence", gateway.BASE_ARGS)
def test_sse_frame_helper_preserves_gateway_wire_contract(self):
self.assertEqual(
@ -496,6 +567,135 @@ class GatewayModelTest(unittest.TestCase):
finally:
asyncio.run(session.close())
def test_engine_session_passes_reasoning_effort_to_claude_cli(self):
captured, process_patch = _capture_subprocess()
with (
patch.object(gateway, "DEFAULT_MODEL", ""),
patch.object(gateway, "FALLBACK_MODEL", ""),
process_patch,
):
session = gateway.EngineSession(
model="opus",
reasoning_effort="high",
)
asyncio.run(session.start())
try:
self.assertIn("--effort", captured[0])
self.assertEqual(
captured[0][captured[0].index("--effort") + 1], "high"
)
finally:
asyncio.run(session.close())
def test_engine_session_emits_partial_stream_events_without_final_message_duplication(self):
process = _FakeProcess()
process.stdin = _StreamStdin()
process.stdout = _StreamStdout(
[
{
"type": "stream_event",
"event": {
"type": "content_block_delta",
"delta": {"type": "text_delta", "text": ""},
},
},
{
"type": "stream_event",
"event": {
"type": "content_block_delta",
"delta": {"type": "text_delta", "text": "녕!"},
},
},
{
"type": "assistant",
"message": {"content": [{"type": "text", "text": "안녕!"}]},
},
{"type": "result", "is_error": False, "total_cost_usd": 0.01},
]
)
session = gateway.EngineSession()
session.proc = process
async def collect():
return [event async for event in session.turn_stream("질문")]
events = asyncio.run(collect())
self.assertEqual(
events,
[
{"type": "delta", "text": ""},
{"type": "delta", "text": "녕!"},
{
"type": "done",
"text": "안녕!",
"cost_usd": 0.01,
"turns": 1,
"is_error": False,
"error": "안녕!",
},
],
)
def test_v1_generate_routes_non_claude_provider_through_registry(self):
result = SimpleNamespace(
text="registry response",
model="gpt-5.6-terra",
provider="codex_cli",
tokens_in=12,
tokens_out=3,
cost_usd=0.0,
inference_geo=None,
structured=None,
)
request = contract.GenerateRequest(
provider="codex_cli",
model="gpt-5.6-terra",
reasoning_effort="medium",
messages=[contract.EngineMessage(role="user", content="hello")],
)
with patch.object(
gateway,
"generate_with_provider",
AsyncMock(return_value=result),
) as generate:
response = asyncio.run(gateway.v1_generate(request))
self.assertEqual(response["provider"], "codex_cli")
self.assertEqual(response["model"], "gpt-5.6-terra")
generate.assert_awaited_once()
def test_v1_stream_forwards_non_claude_provider_deltas(self):
result = SimpleNamespace(
text="안녕",
model="gemini-3.6-flash-high",
provider="agy_cli",
tokens_in=12,
tokens_out=2,
cost_usd=0.0,
)
request = contract.GenerateRequest(
provider="agy_cli",
model="gemini-3.6-flash-high",
reasoning_effort="high",
messages=[contract.EngineMessage(role="user", content="hello")],
)
async def fake_stream(*args, **kwargs):
yield SimpleNamespace(type="delta", text="", result=None)
yield SimpleNamespace(type="delta", text="", result=None)
yield SimpleNamespace(type="done", text="", result=result)
with patch.object(gateway, "stream_with_provider", fake_stream):
response = asyncio.run(gateway.v1_stream(request))
body = asyncio.run(_read_streaming_response(response))
self.assertEqual(body.count("event: token"), 2)
self.assertIn('data: {"text": ""}', body)
self.assertIn('data: {"text": ""}', body)
self.assertIn("event: done", body)
self.assertIn('"provider": "agy_cli"', body)
def test_resolve_session_does_not_reuse_session_with_different_model(self):
captured, process_patch = _capture_subprocess()
existing = gateway.EngineSession(model="old-model")
@ -512,11 +712,13 @@ class GatewayModelTest(unittest.TestCase):
)
try:
self.assertIs(ephemeral, True)
self.assertIs(ephemeral, False)
self.assertIsNot(session, existing)
self.assertEqual(_model_arg(captured[0]), "new-model")
self.assertIs(gateway.SESSIONS["sid"], existing)
self.assertIs(gateway.SESSIONS["sid"], session)
self.assertEqual(existing.proc.returncode, 0)
finally:
gateway.SESSIONS.pop("sid", None)
asyncio.run(session.close())
def test_resolve_session_reuses_live_session_id_without_starting_claude(self):
@ -538,7 +740,7 @@ class GatewayModelTest(unittest.TestCase):
self.assertIs(ephemeral, False)
self.assertEqual(captured, [])
def test_resolve_session_creates_fresh_ephemeral_for_missing_session_id(self):
def test_resolve_session_binds_missing_client_session_id_to_resident_pool(self):
captured, process_patch = _capture_subprocess()
with (
@ -551,11 +753,12 @@ class GatewayModelTest(unittest.TestCase):
)
try:
self.assertIs(ephemeral, True)
self.assertNotIn(session.id, gateway.SESSIONS)
self.assertIs(ephemeral, False)
self.assertIs(gateway.SESSIONS["missing"], session)
self.assertEqual(len(captured), 1)
self.assertIn("--system-prompt", captured[0])
finally:
gateway.SESSIONS.pop("missing", None)
asyncio.run(session.close())
def test_v1_generate_reuses_session_id_without_ephemeral_close(self):
@ -581,7 +784,10 @@ class GatewayModelTest(unittest.TestCase):
self.assertEqual(validated.text, "reused response")
self.assertEqual(validated.provider, "claude_cli")
self.assertEqual(validated.cost_usd, 0.01)
self.assertEqual(calls, [("hello", gateway.GENERATE_TURN_TIMEOUT_SECONDS)])
self.assertEqual(
calls,
[("[이번 상담자 발화]\nhello", gateway.GENERATE_TURN_TIMEOUT_SECONDS)],
)
self.assertEqual(closes, [])
def test_v1_generate_closes_fresh_ephemeral_session(self):
@ -605,14 +811,23 @@ class GatewayModelTest(unittest.TestCase):
patch.object(gateway.EngineSession, "turn", fake_turn),
patch.object(gateway.EngineSession, "close", fake_close),
):
response = asyncio.run(gateway.v1_generate(_request(session_id="missing")))
response = asyncio.run(gateway.v1_generate(_request()))
validated = contract.GenerateResponse.model_validate(response)
self.assertEqual(validated.text, "fresh response")
self.assertEqual(validated.provider, "claude_cli")
self.assertEqual(validated.cost_usd, 0.02)
self.assertEqual(len(started), 1)
self.assertEqual(turned, [(started[0], "hello", gateway.GENERATE_TURN_TIMEOUT_SECONDS)])
self.assertEqual(
turned,
[
(
started[0],
"[이번 상담자 발화]\nhello",
gateway.GENERATE_TURN_TIMEOUT_SECONDS,
)
],
)
self.assertEqual(closed, [started[0]])
self.assertNotIn(started[0].id, gateway.SESSIONS)
@ -653,7 +868,7 @@ class GatewayModelTest(unittest.TestCase):
self.assertIn('"provider": "claude_cli"', body)
self.assertIn('"model": "stream-model"', body)
self.assertIn('"cost_usd": 0.03', body)
self.assertEqual(session.content, "hello")
self.assertEqual(session.content, "[이번 상담자 발화]\nhello")
self.assertEqual(session.timeout, 600.0)
self.assertTrue(session.closed)

View file

@ -0,0 +1,377 @@
import json
import unittest
from unittest.mock import AsyncMock, patch
from app.contracts.engine_gateway import EngineMessage, GenerateRequest
from engine_gateway import provider_registry
class _FakeStreamReader:
def __init__(self, lines: list[bytes] | None = None, body: bytes = b""):
self.lines = list(lines or [])
self.body = body
async def readline(self) -> bytes:
return self.lines.pop(0) if self.lines else b""
async def read(self) -> bytes:
return self.body
class _FakeAgyProcess:
def __init__(self, events: list[dict]):
self.stdout = _FakeStreamReader(
[(json.dumps(event, ensure_ascii=False) + "\n").encode("utf-8") for event in events]
)
self.stderr = _FakeStreamReader()
self.returncode = None
async def wait(self) -> int:
if self.returncode is None:
self.returncode = 0
return self.returncode
def kill(self) -> None:
self.returncode = -9
class ProviderRegistryTest(unittest.IsolatedAsyncioTestCase):
def setUp(self):
provider_registry.clear_capability_cache()
def tearDown(self):
provider_registry.clear_capability_cache()
async def test_codex_catalog_uses_live_models_with_terra_medium_default(self):
payload = {
"data": [
{
"id": "gpt-5.6-sol",
"model": "gpt-5.6-sol",
"displayName": "GPT-5.6-Sol",
"description": "Frontier",
"hidden": False,
"isDefault": True,
"defaultReasoningEffort": "low",
"supportedReasoningEfforts": [
{"reasoningEffort": "low"},
{"reasoningEffort": "medium"},
],
},
{
"id": "gpt-5.6-terra",
"model": "gpt-5.6-terra",
"displayName": "GPT-5.6-Terra",
"description": "Balanced",
"hidden": False,
"isDefault": False,
"defaultReasoningEffort": "medium",
"supportedReasoningEfforts": [
{"reasoningEffort": "low"},
{"reasoningEffort": "medium"},
{"reasoningEffort": "high"},
],
},
]
}
with (
patch.object(provider_registry, "_binary", return_value="codex.exe"),
patch.object(
provider_registry,
"_codex_model_list",
AsyncMock(return_value=payload),
),
):
result = await provider_registry.discover_capabilities("codex_cli")
self.assertTrue(result.available)
self.assertEqual(result.source, "live_cli")
self.assertEqual(result.default_model, "gpt-5.6-terra")
self.assertEqual(result.default_reasoning_effort, "medium")
terra = next(model for model in result.models if model.id == "gpt-5.6-terra")
self.assertTrue(terra.is_default)
self.assertEqual(terra.reasoning_efforts, ["low", "medium", "high"])
async def test_agy_catalog_uses_cli_list_with_flash_high_default(self):
stdout = "\n".join(
[
"gemini-3.6-flash-high",
"gemini-3.6-flash-medium",
"claude-sonnet-4-6",
]
)
with (
patch.object(provider_registry, "_binary", return_value="agy.exe"),
patch.object(
provider_registry,
"_run_process",
AsyncMock(return_value=(stdout, "")),
),
):
result = await provider_registry.discover_capabilities("agy_cli")
self.assertTrue(result.available)
self.assertEqual(result.default_model, "gemini-3.6-flash-high")
self.assertEqual(result.default_reasoning_effort, "high")
selected = next(model for model in result.models if model.is_default)
self.assertEqual(selected.reasoning_efforts, ["high"])
self.assertEqual(selected.label, "Gemini 3.6 Flash (High)")
async def test_claude_cli_catalog_is_explicit_static_alias_fallback(self):
with patch.object(provider_registry, "_binary", return_value="claude.exe"):
result = await provider_registry.discover_capabilities("claude_cli")
self.assertTrue(result.available)
self.assertEqual(result.source, "static_cli")
self.assertEqual(result.default_model, "gateway-default")
self.assertEqual([model.id for model in result.models], ["gateway-default", "opus", "sonnet", "fable"])
async def test_anthropic_catalog_fails_closed_without_api_key(self):
with patch.dict(provider_registry.os.environ, {}, clear=True):
result = await provider_registry.discover_capabilities(
"claude_api", force=True
)
self.assertFalse(result.available)
self.assertEqual(result.source, "unavailable")
self.assertEqual(result.models, [])
self.assertIn("ANTHROPIC_API_KEY", result.detail)
async def test_codex_generation_uses_model_and_reasoning_from_selection(self):
capabilities = provider_registry.EngineCapabilitiesResponse(
provider="codex_cli",
available=True,
source="live_cli",
models=[
provider_registry.EngineModelOption(
id="gpt-5.6-terra",
label="GPT-5.6-Terra",
reasoning_efforts=["low", "medium", "high"],
default_reasoning_effort="medium",
is_default=True,
)
],
default_model="gpt-5.6-terra",
default_reasoning_effort="medium",
fetched_at=1,
)
stdout = "\n".join(
[
json.dumps(
{
"type": "item.completed",
"item": {"type": "agent_message", "text": "OK"},
}
),
json.dumps(
{
"type": "turn.completed",
"usage": {"input_tokens": 12, "output_tokens": 3},
}
),
]
)
runner = AsyncMock(return_value=(stdout, ""))
request = GenerateRequest(
provider="codex_cli",
model="gpt-5.6-terra",
reasoning_effort="medium",
messages=[EngineMessage(role="user", content="hello")],
)
with (
patch.object(provider_registry, "_binary", return_value="codex.exe"),
patch.object(
provider_registry,
"discover_capabilities",
AsyncMock(return_value=capabilities),
),
patch.object(provider_registry, "_run_process", runner),
):
result = await provider_registry.generate_with_provider(
request,
system_prompt="system",
user_payload="hello",
)
self.assertEqual(result.text, "OK")
self.assertEqual(result.tokens_in, 12)
self.assertEqual(result.tokens_out, 3)
args = runner.await_args.args[0]
self.assertIn("gpt-5.6-terra", args)
self.assertIn('model_reasoning_effort="medium"', args)
self.assertEqual(args[-1], "-")
self.assertIn("[시스템 지침]", runner.await_args.kwargs["input_text"])
async def test_agy_generation_passes_prompt_immediately_after_print_flag(self):
capabilities = provider_registry.EngineCapabilitiesResponse(
provider="agy_cli",
available=True,
source="live_cli",
models=[
provider_registry.EngineModelOption(
id="gemini-3.6-flash-high",
label="Gemini 3.6 Flash (High)",
reasoning_efforts=["high"],
default_reasoning_effort="high",
)
],
default_model="gemini-3.6-flash-high",
default_reasoning_effort="high",
fetched_at=1,
)
request = GenerateRequest(
provider="agy_cli",
model="gemini-3.6-flash-high",
reasoning_effort="high",
messages=[EngineMessage(role="user", content="hello")],
)
runner = AsyncMock(return_value=("OK\n", ""))
with (
patch.object(provider_registry, "_binary", return_value="agy"),
patch.object(
provider_registry,
"discover_capabilities",
AsyncMock(return_value=capabilities),
),
patch.object(provider_registry, "_run_process", runner),
):
result = await provider_registry.generate_with_provider(
request,
system_prompt="system",
user_payload="hello",
)
self.assertEqual(result.text, "OK")
args = runner.await_args.args[0]
print_index = args.index("--print")
self.assertEqual(print_index, len(args) - 2)
self.assertIn("[시스템 지침]", args[-1])
self.assertNotIn("input_text", runner.await_args.kwargs)
async def test_agy_stream_forwards_live_deltas_without_repeating_final_response(self):
capabilities = provider_registry.EngineCapabilitiesResponse(
provider="agy_cli",
available=True,
source="live_cli",
models=[
provider_registry.EngineModelOption(
id="gemini-3.6-flash-high",
label="Gemini 3.6 Flash (High)",
reasoning_efforts=["high"],
default_reasoning_effort="high",
is_default=True,
)
],
default_model="gemini-3.6-flash-high",
default_reasoning_effort="high",
fetched_at=1,
)
request = GenerateRequest(
provider="agy_cli",
model="gemini-3.6-flash-high",
reasoning_effort="high",
messages=[EngineMessage(role="user", content="hello")],
)
process = _FakeAgyProcess(
[
{
"event": "step_update",
"step_update": {
"step_type": "agent_response",
"state": "ACTIVE",
"text_delta": "",
},
},
{
"event": "step_update",
"step_update": {
"step_type": "agent_response",
"state": "DONE",
"text_delta": "",
},
},
{
"event": "result",
"result": {
"status": "SUCCESS",
"response": "안녕",
"usage": {"input_tokens": 12, "output_tokens": 2},
},
},
]
)
captured: list[tuple] = []
async def fake_create_subprocess_exec(*args, **kwargs):
captured.append(args)
return process
with (
patch.object(provider_registry, "_binary", return_value="agy.exe"),
patch.object(
provider_registry,
"discover_capabilities",
AsyncMock(return_value=capabilities),
),
patch.object(
provider_registry.asyncio,
"create_subprocess_exec",
fake_create_subprocess_exec,
),
):
events = [
event
async for event in provider_registry.stream_with_provider(
request,
system_prompt="system",
user_payload="hello",
)
]
self.assertEqual([event.type for event in events], ["delta", "delta", "done"])
self.assertEqual("".join(event.text for event in events), "안녕")
self.assertEqual(events[-1].result.text, "안녕")
self.assertEqual(events[-1].result.tokens_in, 12)
self.assertEqual(events[-1].result.tokens_out, 2)
args = captured[0]
self.assertIn("--output-format", args)
self.assertEqual(args[args.index("--output-format") + 1], "stream-json")
self.assertEqual(args.index("--print"), len(args) - 2)
async def test_generation_rejects_model_effort_not_returned_by_provider(self):
capabilities = provider_registry.EngineCapabilitiesResponse(
provider="agy_cli",
available=True,
source="live_cli",
models=[
provider_registry.EngineModelOption(
id="gemini-3.6-flash-high",
label="Gemini 3.6 Flash (High)",
reasoning_efforts=["high"],
default_reasoning_effort="high",
)
],
default_model="gemini-3.6-flash-high",
default_reasoning_effort="high",
fetched_at=1,
)
request = GenerateRequest(
provider="agy_cli",
model="gemini-3.6-flash-high",
reasoning_effort="low",
messages=[EngineMessage(role="user", content="hello")],
)
with patch.object(
provider_registry,
"discover_capabilities",
AsyncMock(return_value=capabilities),
):
with self.assertRaisesRegex(
provider_registry.ProviderError, "사용할 수 없는 추론 강도"
):
await provider_registry._resolve_selection(request, "agy_cli")
if __name__ == "__main__":
unittest.main()