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autoreg-skills-max/skills/chat2api-proxy/references/chatgpt2api-pro-session-2026-07-04.md

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ChatGPT2API-Pro Session — 2026-07-04

Session Goal

Fork lanqian528/chat2api, add function calling + MCP + GPT-5.5 support, deploy on Windows with Hermes, connect K12 ChatGPT account.

Key Decisions

  • Forked lanqian528/chat2api (3.7k⭐) → nikita4a/chatgpt2api-pro (ChatGPT-specific, not multi-provider)
  • Function calling: prompt engineering (inject tool JSON into system prompt, parse JSON from response)
  • MCP: JSON-RPC 2.0 endpoint at /mcp with initialize, tools/list, tools/call
  • Model mapping: Added GPT-5.5 and GPT-5 to set_model()
  • Conversation tracking: Added conversation_id capture in non-stream responses

Account Details

  • First account: [REDACTED-NAME]@gmail.com, planType=free → GPT-3.5 + GPT-4o work
  • Second account: [REDACTED-NAME]@gmail.com, planType=k12, structure=workspace → GPT-4o + O3-mini + GPT-5.5 work. O1 blocked by anti-abuse.

Deployment Path

C:\Users\User\AppData\Local\hermes\chatgpt2api-pro\
├── .venv/          # isolated Python venv
├── tokens.txt      # K12 access token (gitignored)
├── api/
│   ├── function_calling.py  # NEW: prompt-eng tool use
│   ├── mcp.py               # NEW: JSON-RPC 2.0 gateway
│   └── chat2api.py          # MODIFIED: FC flow, conv tracking
├── chatgpt/
│   └── ChatService.py       # MODIFIED: GPT-5.5 mapping, thinking mode
└── app.py                   # MODIFIED: MCP registration

Errors & Fixes

Error 1: ModuleNotFoundError: No module named 'utils.configs'

  • Cause: Hermes has C:\Users\User\AppData\Local\hermes\hermes-agent\utils\ in sys.path, shadows project utils/
  • Fix: Added __init__.py to utils/, chatgpt/, api/. Run with PYTHONPATH=<project>;$PYTHONPATH.

Error 2: Proof of work difficulty too high: 061a80

  • Cause: pow_difficulty is read as string from .env. String comparison "061a80" <= "000032" fails.
  • Fix: Set POW_DIFFICULTY=0 in .env to disable check.

Error 3: [Errno 10048] port 5005 already in use

  • Cause: Old server processes from previous background launches linger.
  • Fix: netstat -ano | grep :5005 → taskkill //F //PID <pid>.

Error 4: tokens.txt pushed to GitHub

  • Cause: tokens.txt not in .gitignore.
  • Fix: Added to .gitignore, git rm --cached, force push.

Error 5: O1 returns "unusual activity detected"

  • Cause: ChatGPT anti-abuse on O1 model via web API.
  • Status: Unresolved. O3-mini works fine. Arkose solver needed.

Error 6: ua_generator not found

  • Cause: Running with system Python that has Hermes packages but not project deps.
  • Fix: Use .venv/Scripts/python instead of system python.

Token Extraction

  • Hermes Bridge: extension at localhost:8002 — captures cookies/tokens from browser
  • Direct URL: cmd //c start https://chatgpt.com/api/auth/session → user copies accessToken
  • Comet cookies: %LOCALAPPDATA%\Perplexity\Comet\User Data\Default\Network\Cookies (SQLite, locked while Comet runs)

Verified Models

Model Status Note
gpt-3.5-turbo ✅ Free + K12
gpt-4o ✅ Free + K12
o3-mini ✅ K12 only
gpt-5.5 ✅ K12, thinking auto-enabled
o1 ❌ Anti-abuse block

GPT-5.5 Thinking Investigation (2026-07-04)

Problem: GPT-5.5 отвечала, но reasoning_content был пустым. Пользователь сказал "Thinking там в настройках включается у него".

Fix: Добавлено авто-включение thinking: True и reasoning_effort: medium для reasoning-моделей в ChatService.set_model():

if "gpt-5.5" in self.origin_model:
    self.req_model = "gpt-5.5"
    self.data["thinking"] = True
    if "reasoning_effort" not in self.data:
        self.data["reasoning_effort"] = "medium"

Результат: thinking: True отправляется в запросе к ChatGPT backend. Но API-ответ НЕ СОДЕРЖИТ reasoning/thinking. Никакого reasoning_content в metadata, message_type всегда next, content_type всегда text.

Вывод: Thinking — UI-фича ChatGPT веб-интерфейса. Через backend API /conversation thinking не возвращается. Параметр thinking: True в запросе влияет только на отображение в вебе, не на API-ответ.

Отладка: Добавлялся debug-лог logger.info(f"DEBUG_RAW: status={status} ctype={content.get('content_type')} meta_keys={list(meta_data.keys())}") в chatFormat.py → stream_response(). Показал: в metadata нет ключей reasoning/thinking, только message_type: next.

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