{"task_id":"st_01a00031","status":"completed","residency_state":"evicted","parent_session_id":"019fe727-6018-700d-9bb7-2ba4611da8e8","root_session_id":"019fe727-6018-700d-9bb7-2ba4611da8e8","depth":1,"execution_mode":"in-process","model":"clinepass/cline-pass/deepseek-v4-flash","notify_on_terminal":true,"created_at":"2026-08-14T12:14:05.070Z","updated_at":"2026-08-14T14:56:32.494Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"codex-active-auth-probe-research","task_summary":"Assess minimal non-stored Codex auth probe","description":"Assess Codex active auth probe","agent_type":"explore","tool_allow":["read","find","grep","ls","bash","lsp_diagnostics","lsp_goto_definition","lsp_find_references","lsp_symbols"],"requested_model":{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-flash","display":"clinepass/cline-pass/deepseek-v4-flash","source":"agent","reasoning_effort":"low"},"fallback_models":[{"provider":"openai-codex","model_id":"gpt-5.4-mini","display":"openai-codex/gpt-5.4-mini","source":"agent","reasoning_effort":"medium"},{"provider":"openai-codex","model_id":"gpt-5.6-luna","display":"openai-codex/gpt-5.6-luna","source":"agent","reasoning_effort":"high"}],"resolved_model":{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-flash","display":"clinepass/cline-pass/deepseek-v4-flash","source":"agent","reasoning_effort":"low","reasoning":"low"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Read-only investigation in /home/cube/projects/richard/traning coach and /home/cube/projects/richard/hermes-agent. Inspect `_CodexCompletionsAdapter`, underlying Responses request construction, local SDK signatures, and production provider path for an explicit non-stored minimal authenticated probe for `CodexAuxiliaryClient`. Determine exact supported parameters (`store`, `max_output_tokens`, stream, tools, metadata, conversation/thread IDs), whether any server-side conversation/content is persisted, whether billing/usage occurs, and the smallest safe request that proves server authentication without Telegram/service/registry/delivery/customer effects. Trace code, do not assume. If no strictly non-persistent active probe exists, say so. Return exact code/command shape, receipt fields, rollback/no-op evidence, and where it can run fail-closed in the Tasks21-25 controller before any registry activation. Do not execute network calls, edit files, or expose credentials.","instructions":"You are a codebase search specialist. Your job: find files and code, return actionable results.\n\n## Your Mission\n\nAnswer questions like:\n- \"Where is X implemented?\"\n- \"Which files contain Y?\"\n- \"Find the code that does Z\"\n\n## CRITICAL: What You Must Deliver\n\nEvery response MUST include:\n\n### 1. Intent Analysis (Required)\nBefore ANY search, wrap your analysis in <analysis> tags:\n\n<analysis>\n**Literal Request**: [What they literally asked]\n**Actual Need**: [What they're really trying to accomplish]\n**Success Looks Like**: [What result would let them proceed immediately]\n</analysis>\n\n### 2. Parallel Execution (Required)\nLaunch **3+ tools simultaneously** in your first action. Never sequential unless output depends on prior result.\n\n### 3. Structured Results (Required)\nAlways end with this exact format:\n\n<results>\n<files>\n- /absolute/path/to/file1.ts - [why this file is relevant]\n- /absolute/path/to/file2.ts - [why this file is relevant]\n</files>\n\n<answer>\n[Direct answer to their actual need, not just file list]\n[If they asked \"where is auth?\", explain the auth flow you found]\n</answer>\n\n<next_steps>\n[What they should do with this information]\n[Or: \"Ready to proceed - no follow-up needed\"]\n</next_steps>\n</results>\n\n## Success Criteria\n\n- **Paths** - ALL paths must be **absolute** (start with /)\n- **Completeness** - Find ALL relevant matches, not just the first one\n- **Actionability** - Caller can proceed **without asking follow-up questions**\n- **Intent** - Address their **actual need**, not just literal request\n\n## Failure Conditions\n\nYour response has **FAILED** if:\n- Any path is relative (not absolute)\n- You missed obvious matches in the codebase\n- Caller needs to ask \"but where exactly?\" or \"what about X?\"\n- You only answered the literal question, not the underlying need\n- No <results> block with structured output\n\n## Constraints\n\n- **Read-only**: You cannot create, modify, or delete files\n- **No emojis**: Keep output clean and parseable\n- **No file creation**: Report findings as message text, never write files\n\n## Tool Strategy\n\nUse the right tool for the job:\n- **Semantic search** (definitions, references): LSP tools (lsp_goto_definition, lsp_find_references, lsp_symbols, lsp_diagnostics)\n- **Structural patterns** (function shapes, class structures): combine LSP symbols/references with focused grep and read calls\n- **Text patterns** (strings, comments, logs): grep\n- **File patterns** (find by name/extension): find\n- **Remote evidence**: use the structured read-only bash broker only for supported gh or HTTPS retrieval requests; it is not a general shell\n\nFlood with parallel calls. Cross-validate findings across multiple tools."},"host_pid":3816548,"final_response":"I have enough evidence. Let me compile the final structured findings.\n\n<results>\n<files>\n- /home/cube/projects/richard/hermes-agent/agent/auxiliary_client.py - Core of the investigation: `_CodexCompletionsAdapter` (l.1038), `CodexAuxiliaryClient` (l.1419), `_build_codex_client` (l.2471), `resolve_provider_client` openai-codex branch (l.4126-4163), `_CODEX_AUX_BASE_URL` (l.502), request-param builder `resp_kwargs` (l.1077-1086).\n- /home/cube/projects/richard/hermes-agent/agent/transports/codex.py - Production Codex `build_kwargs` (l.60); confirms `store:False` (l.207) and that `max_output_tokens` is suppressed for `is_codex_backend` (l.305-306).\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/dualcoach_admin.py - The provider-auth gate: `_models_list`/`_probe` (l.297-323), `provider_auth_check` (l.396), `_MODEL_LIST_UNSUPPORTED_PROVIDERS` (l.39), exit table including PROBE_UNKNOWN=29 (l.65-93).\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/dualcoach_tasks21_25_controller.py - Fail-closed arm/launch controller; `_verify_provider_receipt` (l.222-237) requires receipt `result==\"ready\"` else NO_GO; `_profile_snapshot` (l.157) captures rollback/no-op hashes.\n- /home/cube/projects/richard/hermes-agent/agent/codex_responses_adapter.py - `_chat_messages_to_responses_input` (l.306); the shared chat→Responses input converter used by the adapter (proves persistence is per-request, no conversation object).\n- /home/cube/projects/richard/hermes-agent/tests/agent/test_auxiliary_client.py - `TestCodexAdapterReasoningTranslation` (l.2759+) shows the exact captured `responses.create` kwargs and confirms `store:False` fixed, no metadata/conversation params.\n\n</files>\n\n<answer>\nI traced the live source (not the snapshots). Here is the determination for the production `openai-codex` provider that `resolve_provider_client` resolves to `CodexAuxiliaryClient` (auxiliary_client.py:4126-4163 → `_build_codex_client` returns `CodexAuxiliaryClient(real_client, model)`).\n\n**Request construction (`_CodexCompletionsAdapter.create`, auxiliary_client.py:1046-1186)**\nThe adapter builds `resp_kwargs` for `self._client.responses.create(**stream_kwargs)`:\n- `model`: the resolved model (e.g. `gpt-5.1-codex-mini`, default in dualcoach config).\n- `instructions`: `\"You are a helpful assistant.\"` (or the `system` message content).\n- `input`: `_chat_messages_to_responses_input(replay_messages)` or `[{\"role\":\"user\",\"content\":\"\"}]`.\n- `store`: **False, hardcoded** (l.1083) — the only occurrence in the file; never overridable.\n- `stream`: **True, always** (l.1257).\n- `timeout`: forwarded only if the caller passed `timeout`.\n\n**Supported parameters (exact, from code trace):**\n- `store`: fixed to `False`. Not settable.\n- `max_output_tokens`: **NOT sent on the production chatgpt Codex backend.** The endpoint capability contract for `chatgpt.com/backend-api/codex` is `_CHATGPT_CODEX_RESPONSES_CAPABILITIES` with `supports_max_output_tokens=False` (l.683-686). The budget path (`_codex_completion_budget`, l.992) is only entered for structured output, and for the role Any codex endpoint the budget is folded into `instructions` as text, not `max_output_tokens`. The production transport corroborates this: `if max_tokens is not None and not is_codex_backend:` (codex.py:305). Generic `api.openai.com` Responses would send it, but the configured production openai-codex host is `https://chatgpt.com/backend-api/codex` (l.502).\n- `stream`: always `True`; the adapter consumes raw SSE and reconstructs the Chat-Completions-shaped response.\n- `tools`: supported; chat-completions function schemas are deep-copied, sanitized (`strip_pattern_and_format`, `strip_slash_enum`), and converted to `{type, name, description, parameters}` (l.1148-1186).\n- `reasoning` / `include`: supported only via `extra_body={\"reasoning\": {...}}` (l.1129-1146).\n- `text` (structured output): via `response_format` only when the model is in `_CODEX_STRUCTURED_OUTPUT_MODELS` (l.942, 948) — not for the default probe model.\n- `metadata`: **never emitted.** Test `test_extra_body_without_reasoning_key_is_noop` proves a caller-provided `metadata` in `extra_body` is dropped.\n- conversation/thread IDs (`previous_response_id`, `conversation_id`, Responses `conversation` object, `prompt_cache_key`): **never emitted** by the adapter. A repo-wide scan of `auxiliary_client.py` finds no `previous_response_id`/`conversation_id`; the production transport only sets `prompt_cache_key`/`session_id` HTTP headers for non-codex/non-xAI. No Responses conversation is created or threaded.\n\n**Persistence and billing**\n- Server-side conversation/content: **not persisted**. `store:False` + no `previous_response_id` means no Responses conversation entry and no server-side retrievable response is created. A minimal one-shot probe does not attach to any conversation/thread and leaves no client-visible stored content.\n- Billing/usage: **yes, it occurs.** Any `responses.create` call is a model generation; it consumes input+output tokens (`resp.usage` is parsed and returned at l.1335-1341) and counts against the ChatGPT Codex subscription. The adapter response exposes `usage` and `provider_status`. So an authenticated probe obtained this way is non-persistent but **not zero-cost** — there is no free/read-only probe for this provider.\n\n**No strictly non-persistent ACTIVE probe exists that is also side-effect-free.** Precisely:\n- A strictly **non-persistent** authenticated probe DOES exist: `CodexAuxiliaryClient(...).chat.completions.create(messages=[{\"role\":\"user\",\"content\":\"ok\"}])`, which sends `store:False`, no tools, no metadata, no conversation id.\n- But the **currently-wired** provider-auth probe is `models.list` (dualcoach_admin.py:297-323), and `CodexAuxiliaryClient` has **no `.models`** (only `chat`, `api_key`, `base_url`, `close`). `_models_list`'s fallback reaches `_real_client.models.list`, which would hit `GET https://chatgpt.com/backend-api/codex/models` — unsupported. That is exactly why the frozen Task26 result is `probe_unknown` / exit `29`: no `models.list` probe is supported, and the gate refuses to treat construction as proof of auth.\n- Therefore the only working authenticated probe is a **generation** request, which bills usage. There is **no non-billing read-only probe**. If the requirement is \"authenticate with absolutely zero usage/effects,\" then no such active probe exists — I state this explicitly.\n\n**Smallest safe request that proves auth without any customer/service/delivery/registry/Telegram effect:**\n```python\nfrom agent.auxiliary_client import resolve_provider_client\nclient, model = resolve_provider_client(\"openai-codex\", \"gpt-5.1-codex-mini\")\nresp = client.chat.completions.create(messages=[{\"role\": \"user\", \"content\": \"ok\"}])\n# -> requests: POST <base_url>/responses  body {model, instructions, input:[user:\"ok\"], store:false, stream:true}\n# auth proven iff resp.model is set and resp.usage is not None (status \"completed\").\n```\nExact wire shape it produces: `model`, `instructions=\"You are a helpful assistant.\"`, `input=[{\"role\":\"user\",\"content\":\"ok\"}]`, `store=False`, `stream=True`. No tools, no metadata, no conversation/thread id, no `max_output_tokens` (dropped on the codex backend). This is the minimal generation.\n\n**Where it can run fail-closed in the Tasks21-25 controller**\n- The fail-closed seam is `dualcoach_admin.provider_auth_check` (dualcoach_admin.py:428): `client, _ = _resolve_provider_client(...)` then `_probe(client)`. This is where `_probe` would have to be replaced with the adapter-based generation above (it is currently `models.list`, which freezes for `CodexAuxiliaryClient`). This runs entirely offline except for the one provider request — no Telegram, no registry, no service, no delivery.\n- Receipt fields the arm gate checks (`_verify_provider_receipt`, dualcoach_tasks21_25_controller.py:222-237): `schema == \"dualcoach-provider-auth-receipt-v1\"`, `candidate_digest` match, `result == \"ready\"`, `success is True`, `exit_code == 0`, `provider_adapter == \"agent.auxiliary_client.resolve_provider_client\"`, `provider_adapter_version == \"v1\"`. Any non-`ready` (including `probe_unknown`/29) yields `NO_GO` and arm exits 1 — fail-closed, before any registry activation.\n- The controller's own rollback/no-op evidence is `_profile_snapshot` (l.157): `config_sha256`, `auth_sha256`, `registry_sha256`, `gateway_state_sha256`, per-path `delivery_path_sha256`, `delivery_count:0`, `customer_count:0`, plus checks that the service is `inactive`/`dead` and the profile has no matching `/proc` process. On `launch`, it re-snapshots and fails on `profile_baseline_drift`. So if an auth probe is added, it must stay inside `provider_auth_check` before `_write_receipt`; the existing hash-pinned snapshot already guarantees no customer/delivery effect and no mutation of the arming baseline.\n\n**Bottom line:** There is no free, non-billing authenticated probe for the production `CodexAuxiliaryClient`/openai-codex path. The only working probe is a minimal generation (`store:false`, no tools/metadata/conversation), which is non-persistent but consumes Codex usage. The current `models.list` probe (exit 29) does not work for this client. As built, no active probe is both non-persistent and zero-usage, and no probe exists today that returns `ready` for openai-codex — arm is correctly fail-closed until a generation-based probe is added.\n</answer>\n\n<next_steps>\nIf you need a real authenticated-pass signal, the smallest correct change is in `dualcoach_admin.py`: replace the `models.list` probe (`_probe`/`_models_list`, l.297-323) with an adapter generation probe `client.chat.completions.create(messages=[{\"role\":\"user\",\"content\":\"ok\"}])`, mapping a valid `resp.model` + `resp.usage` (or `resp.provider_status==\"completed\"`) to `READY`/exit 0 and every SDK error/timeout to an explicit non-zero exit so `_verify_provider_receipt` still fails closed. This is a code edit — outside my read-only scope — and it will consume a small number of Codex tokens per run. Confirm with the account owner that per-run generation cost is acceptable before wiring it into the Tasks21-25 arm gate, since no usage-free active probe is available for this provider.\n</next_steps>\n</results>","run_stats":{"runtime_ms":139753,"turns":12,"tool_calls":28,"output_tokens":11187,"total_tokens":588932,"generation_ms":99869,"tokens_per_second":112,"cost_usd":0,"cache_hit_rate_last":0.9511381228140589,"cache_hit_rate_run":0.8454387316203515}}