{"type":"transition_applied","payload":{"type":"transition_applied","status":"running","residency_state":"resident"}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"ls","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"The primary source is `hermes-agent/agent/auxiliary_client.py`. Let me read the key sections: `_CodexCompletionsAdapter`, `CodexAuxiliaryClient`, request construction, and the overall structure"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me read the capability/completion budget helpers and the provider resolution path for `openai-codex"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me read `_build_codex_client`, `_read_codex_access_token`, base URL constants, and cloudflare headers, plus `_to_async_client`.\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me find `_CODEX_AUX_BASE_URL`, the local OpenAI SDK's `responses.create` signature, and the dualcoach_admin provider-auth gate"}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"The OpenAI SDK is probably installed in a virtualenv. Let me find the installed SDK and its responses.create signature. Let me also read dualcoach_admin.py fully (lines 1-480). And find the Tasks21-25 controller.\n\nLet me search for the installed SDK and the Tasks21-25 controller.Let me read the dualcoach_admin.py provider-auth gate in full and find the installed OpenAI SDK plus the Tasks21-25 controller"}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"The provider-auth gate uses `models.list` (dualcoach_admin.py:297-320), which is unsupported for `CodexAuxiliaryClient`. Now I need: (1) the installed OpenAI SDK's `responses.create` signature, and (2) the Tasks21-25 controller. Let me explore both"}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"tool_execution","payload":{"tool":"ls","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"The real controller is `hermes-agent/gateway/platforms/dualcoach_tasks21_25_controller.py`. Let me read it, the test file for the adapter, and the codex conversations converter to confirm persistence and request shape"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me read the remaining test assertions and the codex conversations to Responses converter to confirm the exact request kwargs and persistence flags\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"I have the core evidence. Let me confirm two contrasting details: (1) the adapter never sets `metadata`/`previous_response_id`/`conversation_id`/`store` anywhere else, and (2) whether the production Codex transport forwards those (to contrast persistence). Also confirm the `store` default behavior for a `responses.create` call"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"Confirmed. The main Codex transport also sets `store: False` (codex.py:207) and never passes metadata/previous_response_id/conversation_id. The only `store` occurrence in auxiliary_client.py is line 1083. The adapter never sets metadata/previous_response_id/conversation_id.\n\nLet me read the main codex transport build_kwargs around lines 60-320 to confirm the store semantics contrast and whether previous_response_id is ever used for conversation. This confirms persistence claims across both the auxiliary adapter and production transport.\n\nAnd let me verify `gpt-5.1-codex-mini` / the configured model. Let me quickly look at the dualcoach config provider defaults already seen: `draft_provider` default openai-codex, `draft_model` default `gpt-5.1-codex-mini`.\n\nLet me check the codex.py build_kwargs to confirm no conversation_id / previous_response_id for the production path.Let me read the production Codex transport `build_kwargs` to confirm it never sets `previous_response_id`/`conversation_id`/`store:True`, confirming the non-persistence claim holds for both paths"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"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>"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"resident"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"persisted_only"}}
{"type":"suspended","payload":{"reason":"quit"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a00031/sessions/st_01a00031/2026-08-14T12-14-05-072Z_01a00031-9710-790e-82c1-4c2581ab3f55.jsonl"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"evicted"}}
{"type":"evicted","payload":{"cause":"evict"}}