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feat(ai): add explicit ChatGPT account transport #320

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10 changes: 10 additions & 0 deletions backend_api_python/Dockerfile.ai-isolated
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Original file line number Diff line number Diff line change
@@ -0,0 +1,10 @@
FROM aq-qd-result-003:1173a0b

USER root
WORKDIR /app
COPY . /app

Check failure on line 5 in backend_api_python/Dockerfile.ai-isolated

View check run for this annotation

SonarQubeCloud / SonarCloud Code Analysis

Copying recursively might inadvertently add sensitive data to the container. Make sure it is safe here. 


See more on https://sonarcloud.io/project/issues?id=OpenByteInc_QuantDinger&issues=AaF0z-jk9Xagls7UImOa&open=AaF0z-jk9Xagls7UImOa&pullRequest=320
RUN chown -R quantdinger:quantdinger /app
USER quantdinger

ENTRYPOINT ["/app/docker-entrypoint.sh"]
CMD ["gunicorn", "--config", "gunicorn_config.py", "run:app"]
35 changes: 30 additions & 5 deletions backend_api_python/app/routes/strategy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,27 @@ def _request_lang(default: str = "zh-CN") -> str:
return lang or default


@strategy_blp.route("/strategies/ai-workspace/account-models", methods=["GET"])
@login_required
def list_strategy_workspace_account_models():
"""Return the safe model catalog owned by the local Codex login."""
try:
from app.services.chatgpt_account import CodexAppServerClient

models = CodexAppServerClient(timeout_seconds=30).list_models()
return _ok({
"authMode": "chatgpt_account",
"connected": True,
"models": [
{"id": item.slug, "name": item.display_name}
for item in models
],
})
except Exception as exc:
logger.warning("ChatGPT account model discovery failed: %s", exc)
return _error("strategyV2.chatgptAccountUnavailable", 503)


def _strategy_ai_text(key: str, lang: str = "zh-CN") -> str:
texts = {
STRATEGY_CANDIDATE_MESSAGE_KEY: (
Expand Down Expand Up @@ -348,7 +369,9 @@ def generate_strategy():
from app.services.billing_service import get_billing_service
from app.services.llm import LLMService

llm = LLMService()
auth_mode = str(payload.get("authMode") or "api_key").strip().lower()
requested_model = str(payload.get("model") or "").strip() or None
llm = LLMService(auth_mode=auth_mode)
if not llm.is_configured():
return _error("strategyV2.llmNotConfigured")
asset_type = normalize_asset_type(payload.get("assetType") or payload.get("asset_type"))
Expand Down Expand Up @@ -629,7 +652,9 @@ def run_strategy_workspace_turn():
context = payload.get("context") if isinstance(payload.get("context"), dict) else {}
requested_mode = str(payload.get("interactionMode") or "auto")
generation_mode = str(payload.get("generationMode") or "authoring").strip().lower()
llm = LLMService()
auth_mode = str(payload.get("authMode") or "api_key").strip().lower()
requested_model = str(payload.get("model") or "").strip() or None
llm = LLMService(auth_mode=auth_mode)
if not llm.is_configured():
return _error("strategyV2.llmNotConfigured")
intent_workspace = None
Expand Down Expand Up @@ -710,7 +735,7 @@ def run_strategy_workspace_turn():
logger.info("strategy discussion context budget=%s", budget)
answer = str(llm.call_llm_api(
messages=messages,
model=llm.get_default_model(),
model=requested_model or llm.get_default_model(),
temperature=0.2,
use_json_mode=False,
) or "").strip()
Expand Down Expand Up @@ -780,7 +805,7 @@ def run_strategy_workspace_turn():
else:
generated = llm.call_llm_api(
messages=messages,
model=llm.get_code_generation_model(),
model=requested_model or llm.get_code_generation_model(),
temperature=0.2 if use_patch_response else 0.35,
use_json_mode=use_patch_response,
)
Expand All @@ -802,7 +827,7 @@ def run_strategy_workspace_turn():
full_messages[-1] = {"role": "user", "content": full_request}
fallback = llm.call_llm_api(
messages=full_messages,
model=llm.get_code_generation_model(),
model=requested_model or llm.get_code_generation_model(),
temperature=0.25,
use_json_mode=False,
)
Expand Down
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