The ChatGPT Codex models endpoint interprets client_version as a Codex
CLI compatibility version and filters out any model whose
minimal_client_version is newer than the value sent. Hermes hardcoded
client_version=1.0.0 at both catalog request sites, so model visibility
was accidentally coupled to a version scheme Hermes doesn't follow —
future models gated behind a higher minimal version would silently
vanish from the account catalog.
The backend accepts the exact sentinel 0.0.0 as an ungated request
returning the complete account catalog (verified live: 0.0.0 and
current versions return identical model sets today, while omitting the
parameter is HTTP 400 and out-of-sequence values like 0.0.1 return no
models). Both request sites (hermes_cli/codex_models.py and the
context-length probe in agent/model_metadata.py) now share one
CODEX_UNGATED_CLIENT_VERSION constant.
Clean-room port of the observed behavior in zed-industries/zed#62729;
no GPL code translated.
The slug pair {"gpt-6-astra", "gpt-6-astra-900k"} was spelled out five times
(reasoning_effort, transports/codex, models.py x2, codex_models) with five hand-rolled
``.strip().lower().rsplit("/", 1)[-1]`` normalisations. ``is_astra_model`` in
agent/reasoning_effort.py (the module the other four already import) is now the only home, so a
new Astra alias is one edit.
``_finalize_codex_models(..., allow_astra=)`` was a control-coupling flag set True by the two
live callers and left False by the two static ones. The filter now lives where the untrusted
inputs are — ``_drop_undiscovered_astra`` over config.toml default + models_cache.json in
``get_codex_model_ids`` — and ``_finalize_codex_models`` is back to its one-line original.
DEFAULT_CODEX_MODELS never contains Astra, so the static catalog needs no gate.
``_openai_catalog`` appends whatever Astra ids live discovery returned instead of a name-keyed
``if "gpt-6-astra" in live_lower`` branch with a literal fallback that could never fire.
For each issue anchor present in BASE 63279301bc non-test .py and absent on HEAD, the BASE comment/docstring block was re-attached at the HEAD location of the code it explained (matched by the distinctive code line / enclosing def). Sentences already covered by an existing HEAD comment were deduped; the issue number always survives. Insert-only: no code lines changed.
The Aug 16 change that auto-raised gpt-5.4/5.6 Codex OAuth context to the
live-verified 900K burned through subscription usage for users who never
asked for the larger window (bigger window = more input tokens per request).
- Base Codex slugs (gpt-5.6-sol/terra/luna, gpt-5.4) now resolve to the
advertised 272K again — the cheaper limit is the default.
- The model picker synthesizes explicit <slug>-900k variants (e.g.
gpt-5.6-sol-900k) for every live-verified slug; selecting one opts into
the 900K window. Slugs that genuinely enforce 272K (gpt-5.5,
gpt-5.4-mini) get no variant.
- The -900k suffix is Hermes-side only: stripped before the model id hits
the wire (main transport + auxiliary Responses adapter), and pricing
aliases the variants onto the base entries.
- Docs: new opt-in section in context-compression-and-caching.md.
Port the stale PR #61665 behavior to current main. The original two-file contribution is by yungchentang; this candidate preserves its scoped Codex OAuth fallback intent.
Co-authored-by: Taneli Mielikäinen <taneli.mielikainen@iki.fi>
The Codex backend returns the per-account model catalog only when the
ChatGPT-Account-Id header is present. Without it, GET /backend-api/codex/models
responds 200 OK with {"models":[]} and the picker silently degrades to the
hardcoded fallback list — which is stale or wrong for the active plan
(no GPT-5.6 family, wrong context windows).
This was the upstream bug behind slow first responses and HTTP 520/120s SSE
hangs: Hermes was sending invalid slugs because the probe never saw them in
the catalog, and Codex's request builder also depends on the same JWT claim
that's now being threaded through both probe paths.
Fixes the probe-side paths in hermes_cli/codex_models.py and
agent/model_metadata.py by extracting chatgpt_account_id from the OAuth JWT
(mirroring the request-side logic already in auxiliary_client.py) and sending
it as a header.
Verified live:
- _fetch_models_from_api now returns the 10-model catalog (gpt-5.6-sol,
gpt-5.6-terra, gpt-5.6-luna, gpt-5.5, gpt-5.4, gpt-5.4-mini,
gpt-5.3-codex-spark, 3x -pro variants) instead of [].
- _fetch_codex_oauth_context_lengths resolves all 8 account models to 272K
context (matches direct API probes of the same account).
- end-to-end: hermes chat -m gpt-5.6-sol -q 'Reply with one word: pong'
returns 'pong' cleanly via the openai-codex route.
Same class of bug as PR #64760.
Close the remaining end-to-end gaps so the full gpt-5.6 family (sol/
terra/luna + their -pro high-effort modes, 6 slugs) works on every
surface a user can reach them through:
- agent/auxiliary_client.py: the Codex OAuth backend hard-caps context
at 272K for gpt-5.6 exactly as it does for 5.4/5.5, but the default
50% compaction trigger would summarize at ~136K and waste half the
usable window. Extend the existing _is_codex_gpt54_or_gpt55 chokepoint
(single enforced predicate feeding _compression_threshold_for_model)
to match gpt-5.6* on the openai-codex route so those sessions get the
same 0.85 auto-raise. Direct-API/OpenRouter routes (full 1.05M window)
are unaffected; the historical codex_gpt55_autoraise opt-out still
applies. The one-time notice banner is model-dynamic and already
renders the correct slug/cap.
- hermes_cli/config.py, agent/agent_init.py: refresh the autoraise
comments/notice to mention the 5.6 family.
- hermes_cli/codex_models.py: add the -pro variants to DEFAULT_CODEX_MODELS
+ forward-compat so ChatGPT-OAuth (openai-codex) Pro users see the full
family in /model, not just the base tiers.
Supersedes the earlier commit's note that 5.6 was intentionally kept out
of the codex catalog: the slugs are confirmed routable (OpenRouter live
+ codex backend), so they belong there like every other codex-capable
gpt-5.x slug.
E2E verified across all 6 slugs: direct-API ctx 1.05M, codex ctx 272K,
pricing reachable from openai + openai-api routes, codex compaction
override 0.85 (and None on direct-API + when opted out), present in
openai-api picker + codex catalog, /model gpt resolves to sol on both
native routes. Guard tests added for the compaction route matrix.
PR #61578 added the GPT-5.6 series (sol/terra/luna) to the two aggregator
surfaces (OPENROUTER_MODELS, _PROVIDER_MODELS[nous]). This completes the
registration on the remaining surfaces per the standard add-model checklist:
- agent/model_metadata.py: DEFAULT_CONTEXT_LENGTHS 1.05M (direct API, same
as gpt-5.5; more-specific keys precede gpt-5.5 for longest-substring
matching) + _CODEX_OAUTH_CONTEXT_FALLBACK 272K for all three slugs.
Without these the direct-API fallback matched generic "gpt-5" = 400K.
- hermes_cli/codex_models.py: DEFAULT_CODEX_MODELS + forward-compat
templates so ChatGPT-OAuth (openai-codex) pickers surface the series.
- hermes_cli/models.py: _PROVIDER_MODELS[openai-api] (native API picker).
- agent/usage_pricing.py: _OFFICIAL_DOCS_PRICING snapshot — sol 5/30,
terra 2.50/15, luna 1/6 per 1M in/out; cache read 0.10x input, cache
write 1.25x input (OpenAI billing change starting with the 5.6 series).
GA 2026-07-09 at preview rates. Sol Fast mode (Cerebras tier) excluded.
- hermes_cli/model_switch.py: rank "sol" as a flagship suffix so
/model gpt resolves to gpt-5.6-sol, not alphabetical-first luna.
Verified: registry E2E via real imports (both context tables, codex
forward-compat from a gpt-5.5 template, billing-route lookup for
openai/gpt-5.6-sol -> 5.00/M), alias resolution on openai-codex and
openai-api resolves to gpt-5.6-sol; 183 targeted tests pass
(model_metadata, usage_pricing, codex_models, model_catalog).
DEFAULT_CODEX_MODELS shipped three slugs that the chatgpt.com Codex
backend rejects with HTTP 400 'The <slug> model is not supported when
using Codex with a ChatGPT account.' on every account tested live:
gpt-5.2-codex
gpt-5.1-codex-max
gpt-5.1-codex-mini
Live verified against https://chatgpt.com/backend-api/codex/models
which returns gpt-5.5, gpt-5.4, gpt-5.4-mini, gpt-5.3-codex,
gpt-5.3-codex-spark, gpt-5.2 for ChatGPT Pro accounts.
When _fetch_models_from_api fell back to DEFAULT_CODEX_MODELS (offline
first-run, transient API failure) the picker surfaced these dead slugs
and crashed on selection. The forward-compat synthesis table chained
them downstream too.
If OpenAI re-enables them on the OAuth-backed Codex backend, live
discovery will pick them up automatically — the defaults list is only
consulted when live discovery is unavailable.
Test fixture pivoted to use gpt-5.3-codex (templated by 4 entries) as
the synthesis driver so the forward-compat test still exercises the
synthesis path.
Replace with for all literal-tuple
membership tests. Set lookup is O(1) vs O(n) for tuple — consistent
micro-optimization across the codebase.
608 instances fixed via `ruff --fix --unsafe-fixes`, 0 remaining.
133 files, +626/-626 (net zero).
PR #12994 stripped gpt-5.3-codex-spark on the assumption that it was
unsupported. It's actually research-preview, ChatGPT-Pro-only, exposed
via the Codex OAuth backend at chatgpt.com/backend-api/codex/models —
not via the public OpenAI API.
Add explanatory comments in:
- DEFAULT_CODEX_MODELS / _FORWARD_COMPAT_TEMPLATE_MODELS (codex_models.py)
- _CODEX_OAUTH_CONTEXT_FALLBACK (model_metadata.py)
- list_authenticated_providers' live-discovery branch (model_switch.py)
so future maintainers don't strip the entry again. Also documents the
intentional asymmetry that Spark stays out of the "openai" provider
catalog (it isn't on the public API) and why the supported_in_api
filter is *not* applied for the openai-codex route.
OpenAI launched GPT-5.5 on Codex today (Apr 23 2026). Adds it to the static
catalog and pipes the user's OAuth access token into the openai-codex path of
provider_model_ids() so /model mid-session and the gateway picker hit the
live ChatGPT codex/models endpoint — new models appear for each user
according to what ChatGPT actually lists for their account, without a Hermes
release.
Verified live: 'gpt-5.5' returns priority 0 (featured) from the endpoint,
400k context per OpenAI's launch article. 'hermes chat --provider
openai-codex --model gpt-5.5' completes end-to-end.
Changes:
- hermes_cli/codex_models.py: add gpt-5.5 to DEFAULT_CODEX_MODELS + forward-compat
- agent/model_metadata.py: 400k context length entry
- hermes_cli/models.py: resolve codex OAuth token before calling
get_codex_model_ids() in provider_model_ids('openai-codex')
_fetch_models_from_api checked for "hide" while _read_cache_models
checked for "hidden", causing models hidden by the API to still
appear when loaded from cache. Both now accept either value.
Authored by PercyDikec. Fixes#445.
Changes 'hide' to 'hidden' in _fetch_models_from_api to match
_read_cache_models and the actual API response format.
The Codex model normalization was rejecting any model without 'codex'
in its name, forcing a fallback to gpt-5.3-codex. This blocked models
like gpt-5.4 that the Codex API actually supports.
The fix simplifies _normalize_model_for_provider() to two operations:
1. Strip provider prefixes (API needs bare slugs)
2. Replace the *untouched default* model with a Codex-compatible one
If the user explicitly chose a model — any model — we trust them and
let the API be the judge. No allowlists, no slug checks.
Also removes the 'codex not in slug' filter from _read_cache_models()
so the local cache preserves all API-available models.
Inspired by OpenClaw's approach which explicitly lists non-codex models
(gpt-5.4, gpt-5.2) as valid Codex models.
Updated the authentication mechanism to store Codex OAuth tokens in the Hermes auth store located at ~/.hermes/auth.json instead of the previous ~/.codex/auth.json. This change includes refactoring related functions for reading and saving tokens, ensuring better management of authentication states and preventing conflicts between different applications. Adjusted tests to reflect the new storage structure and improved error handling for missing or malformed tokens.
- Enhanced Codex model discovery by fetching available models from the API, with fallback to local cache and defaults.
- Updated the context compressor's summary target tokens to 2500 for improved performance.
- Added external credential detection for Codex CLI to streamline authentication.
- Refactored various components to ensure consistent handling of authentication and model selection across the application.
