Surfaced during the post-merge review pass on our own #81113 follow-up:
cached_fetch_api_models gained _cache_entry_valid (numeric-'at'
validation) but its sibling cached_provider_model_ids still did
float(entry.get('at', 0)), which raises ValueError/TypeError on a
hand-edited or corrupted provider_models_cache.json row and propagates
uncaught into the /model picker call sites. Same fix, same helper:
corrupt rows are now a cache miss (live fetch), never an exception.
Both wrappers now share the identical validity predicate, closing the
divergence the 'mirrors' docstring promised away.
Also two test nits from the same review: unused OrderedDict import
dropped and the drain-order assertion strengthened to pin LRU-first
FIFO order in tests/gateway/test_agent_cache_pressure.py.
Mutation-checked: restoring the raising float() form makes the new
corrupt-at tests fail.
- Give cached_fetch_api_models the same stale-while-revalidate tier as
cached_provider_model_ids: TTL-expired entries within the 7d window are
served instantly while a background refresh rewrites the cache —
without this, every /model open an hour into the session re-blocked on
the live probe (#72762's stall class, deferred).
- Generalize _spawn_swr_refresh(cache_key, refresh_fn) so non-slug
custom:<base_url> keys reuse the same inflight-dedupe scaffolding;
slug behavior unchanged (default refresh_fn preserved).
- Convert the missed sibling site: acp_adapter/server.py
_named_custom_provider_catalogs() live-probed every custom_providers
row's /v1/models per ACP catalog build.
- Extract _cache_entry_valid() (the fp/models predicate existed 4x) and
validate 'at' is numeric so hand-edited/corrupt cache JSON degrades to
a live fetch instead of raising through the picker's blanket except.
- Flatten the dead api_mode conditional (fetch_api_models declares
api_mode=None; branch was behaviorally inert).
- Tests: 4 new guards (stale-serve, stale-window cutoff, generalized SWR
write-through, corrupt-at degradation) — stale-serve and corrupt-at
mutation-checked; 2 existing tests updated for the new behavior.
Custom OpenAI-compatible endpoints (named custom_providers rows, bare
provider: custom, and per-endpoint-map entries) called fetch_api_models()
directly at three call sites in model_switch.py, with no disk cache — unlike
first-class providers, which go through cached_provider_model_ids(). Every
plain /model open live-probed the active custom endpoint's /v1/models,
regardless of how recently it had already been probed.
Adds cached_fetch_api_models() in hermes_cli/models.py: a TTL disk-cache
wrapper keyed on custom:<base_url> (custom endpoints have no
PROVIDER_REGISTRY slug to key on) and fingerprinted on api_key/api_mode/
headers, with the same stale-beats-nothing fallback policy as
cached_provider_model_ids(). Routes all three probe call sites through it.
Since prewarm_picker_cache_async() already calls list_authenticated_providers()
with probe_custom_providers defaulting True, this also fixes the endpoint
being warmed on boot (populating the disk cache) instead of that work being
discarded on every open — any custom endpoint (an LLM gateway, a
self-hosted vLLM/SGLang server, etc.), not just one specific provider.
Fixes#72762. Salvaged from #72810 per review feedback: extracts just the
verified custom-endpoint cache fix with real cache-contract test coverage
(hit/stale/rotation/refresh/fallback), leaving the credential-pool and
Copilot-token-exchange costs described in the issue for separate follow-up.
Qwen3.8 Max is live on both OpenRouter and the Nous portal
(qwen/qwen3.8-max, 1M context, 131K max output). Per the
newest-max-replaces-last-max convention, it takes qwen3.7-max's slot
in both curated lists.
- hermes_cli/models.py: OPENROUTER_MODELS + _PROVIDER_MODELS[nous]
swap qwen/qwen3.7-max -> qwen/qwen3.8-max
- agent/model_metadata.py: DEFAULT_CONTEXT_LENGTHS entry for
qwen3.8-max at 1,000,000 (verified against OpenRouter live
metadata and Nous /v1/models 2026-08-03)
- tests/test_empty_model_fallback.py: swap incidental catalog fixture
to the surviving slug
- website/static/api/model-catalog.json: regenerated
Pricing snapshot skipped: both routes bill via official_models_api
(live pricing), verified with resolve_billing_route. Reasoning
timeout floor already covered by the qwen3 prefix (180s).
The picker path fetches the Copilot /models catalog multiple times per
process (list_authenticated_providers -> provider_model_ids ->
_fetch_github_models, plus get_copilot_model_context / normalize
helpers). Cache the filtered catalog at module level with a short TTL
so repeated picker opens do not pay a TLS handshake each time.
Fold-fixes on top of the original patch:
- key the cache by api_key so a mid-process credential swap never
serves the previous account's catalog
- use time.monotonic() so wall-clock adjustments cannot extend the TTL
- deep-copy on store/serve so callers cannot mutate cached entries
- tests updated to patch _urlopen_model_catalog_request (main routes
catalog fetches through open_credentialed_url now), plus TTL-expiry
and credential-change coverage
Extracted from #40276.
_format_price_per_mtok collapsed any per-Mtok price below one cent to
"$0.00" (and readers treated near-zero as free). Nous Portal's DeepSeek
V4 Flash 0731 promo prices cache hits at $0.0018/Mtok, which rendered as
free in the /model picker and hermes model listings.
Prices under $0.01/Mtok now widen precision to the first significant
digit plus one, with trailing zeros trimmed: 0.0000000018/tok →
$0.0018. Standard prices keep the aligned two-decimal format; exact
zero still renders as "free".
The remaining /model picker stall after the Copilot backoff fix: whenever
the 1h provider-models disk cache TTL (or the remote model-catalog manifest
TTL) lapsed mid-session, the next picker open blocked on 8-9 serial
/v1/models round-trips (~2-3s measured) plus the catalog manifest fetch
before rendering anything.
Model catalogs change on release timescales, not hourly — so both caches
now use stale-while-revalidate:
- cached_provider_model_ids(): an expired entry whose credential
fingerprint still matches is served immediately; a deduped daemon thread
re-fetches the live catalog and rewrites the disk cache for the next
open. Entries older than 7 days still block on a live fetch, credential
rotation still busts the entry, and force_refresh still bypasses SWR.
- model_catalog.get_catalog(): an expired disk manifest is served
immediately with an off-thread refresh; only a truly cold cache (no disk
copy) blocks on the network.
Measured picker payload build with deliberately-expired caches:
2.9s -> 0.93s (first open in process) / 0.06s (subsequent opens).
Combined with the Copilot fix (#76386): 7.3s -> ~0.06s for the common case.
Three catalog-side defects from the same report, all downstream of the
exact-host assumption and the config/env asymmetry:
- Discovery read only $OPENAI_BASE_URL, so a config-set
model.base_url (the supported way to select a data-residency host)
was ignored and /model listed the catalog of api.openai.com, not the
configured endpoint. New _openai_discovery_base_url() resolves
env override -> matching model.base_url -> canonical default, the same
precedence inference uses.
- _credential_fingerprint() hashed env vars only, so hermes config set
model.base_url kept serving the previous endpoint's cached catalog
until TTL expiry. The effective endpoint is now folded into the
fingerprint for openai/openai-api.
- is_default_openai matched two literal URLs, so regional hosts (which
serve the identical 120+ entry dump) bypassed the curated intersection
and flooded the picker with whisper/tts/embedding/dall-e rows. Now uses
the shared official-host predicate; custom OpenAI-compatible proxies
keep the verbatim live list.
- validate_requested_model's curated-catalog soft-accept (#46850) no
longer applies on official OpenAI hosts: their /v1/models listing is
access-scoped and authoritative, so accepting an absent model
manufactures a selection that 400s at first use. Custom proxies and
other providers keep the #46850 fallback. The #37404
empty-intersection -> curated picker fallback is deliberately left
unchanged.
Dated snapshot of deepseek-v4-flash, live on both provider endpoints
(verified via OpenRouter /api/v1/models and Nous portal /v1/models).
Context (1M via deepseek-v4-flash prefix match), reasoning stale-timeout
floor (600s), and pricing (official_models_api live billing on both
routes) all resolve without new entries. model-catalog.json regenerated
via scripts/build_model_catalog.py.
Main gained its own vertex curated list (df051c17cc) two days after
PR #68767 was opened, so the cherry-pick produced a duplicate 'vertex'
dict key (later key silently wins in Python dict literals). Merge the
two into one list: union of both, existing entries preserved, contributor's
live-validated additions (gemini-3.6-flash, 3.5-flash-lite, 3.1-flash-lite)
folded in.
Add a "vertex" key to _PROVIDER_MODELS with 6 Gemini 3.x models that
were validated live against the Vertex AI OpenAI-compatible endpoint
(aiplatform.googleapis.com, global region, project antse-tooling) on
2026-07-21. All entries returned HTTP 200; 8 other candidates (e.g.
gemini-3.1-flash, gemini-3-pro-preview) returned 404 and were excluded.
Validated models (google/ prefix required by Vertex endpoint):
- google/gemini-3.5-flash (frontier Flash, agentic)
- google/gemini-3.6-flash (newer incremental over 3.5)
- google/gemini-3.5-flash-lite (lighter/cheaper 3.5 variant)
- google/gemini-3.1-pro-preview (3.1 Pro preview)
- google/gemini-3-flash-preview (3.0 Flash preview)
- google/gemini-3.1-flash-lite (most cost-efficient 3.x model)
Context lengths are covered by the existing "gemini" prefix entry
(1_048_576) in agent/model_metadata.py DEFAULT_CONTEXT_LENGTHS — no
additional entries needed.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
The native Gemini provider profile's default_aux_model and the curated
model picker catalog were still pinned to gemini-3.5-flash, a stale
generation now superseded by gemini-3.6-flash (documented GA). Bump
both so the auxiliary-task default and the picker stay in sync with
the current model.
Contract test asserts the durable lockstep invariant only
(default_aux_model is a member of _PROVIDER_MODELS["gemini"]) rather
than pinning either side to a frozen model-name string, so it doesn't
need updating on the next model-generation bump.
- openrouter + nous curated lists: replace google/gemini-3-pro-preview with
google/gemini-3.1-pro-preview as the sole Pro entry, and
google/gemini-3.5-flash with google/gemini-3.6-flash
- remove qwen/qwen3.7-plus and qwen/qwen3.6-35b-a3b from both lists
- regenerate website/static/api/model-catalog.json
- test fixture: swap qwen3.7-plus catalog-label fixture to qwen3.7-max
(must be a model present in the nous curated list)
Both new Gemini ids verified live on OpenRouter /api/v1/models and the
Nous portal /v1/models (1,048,576 ctx — covered by the existing 'gemini'
prefix in DEFAULT_CONTEXT_LENGTHS).
Follow-up to the salvaged #67409 search aliases: with kimi-k3 now in
the curated kimi-coding list (#68108), a Coding Plan key rendered TWO
rows for one model — curated 'kimi-k3' plus live-discovered bare 'k3'
(merge dedup was exact-string). Add model_alias_canonical() derived
from the same alias table and use it as the merge dedup key, so the
curated public slug wins and live-only models still surface.
Stop offering deepseek-chat/reasoner in the static catalog and point
fallback/aux defaults at the permanent v4 IDs. Keep retired aliases in
a detection-only map so /model deepseek-chat still resolves to deepseek.
Anthropic released Claude Opus 5 (+ -fast variant) — both are live on
OpenRouter and the Nous Portal /models endpoint (verified against both
live APIs). Opus 4.8 entries are kept.
- hermes_cli/models.py: opus-5 + opus-5-fast in OPENROUTER_MODELS;
opus-5 in _PROVIDER_MODELS[nous] (Portal serves both, curated list
carries the base model like the rest of the Nous Anthropic block).
Ordering: below fable-5 flagship, above opus-4.8.
- agent/model_metadata.py: claude-opus-5 -> 1M context (matches live
OpenRouter metadata).
- agent/reasoning_timeouts.py: claude-opus-5 -> 240s stale-timeout
floor (same as the opus-4.x thinking family).
- website/static/api/model-catalog.json: regenerated via
scripts/build_model_catalog.py.
Both providers bill via official_models_api (live pricing), so no
_OFFICIAL_DOCS_PRICING snapshot entry is needed for these routes.
Community verification of #56688 (zmack12344321) found two follow-up gaps
that kept Vertex invisible in the /model menu even after registry
registration:
1. hermes_cli/model_switch.py: list_authenticated_providers() had a
credential gate hard-coded to API keys (with an aws_sdk special case
only) — add a vertex branch using has_vertex_credentials(), mirroring
the aws_sdk shape.
2. hermes_cli/models.py: Vertex's OpenAI-compatible endpoint has no
/models listing route, so without a curated _PROVIDER_MODELS entry the
picker only ever showed the current model — add a Gemini curated list.
Follow-up to #56688.
Follow-up widening for salvaged PRs #67115, #67685, #67620:
- _PROVIDER_MODELS: add kimi-k3 atop kimi-coding / moonshot / opencode-go
curated lists (kimi-coding-cn covered by cherry-picked #67620)
- setup.py _DEFAULT_PROVIDER_MODELS: kimi-k3 for kimi-coding(-cn) + opencode-go
- model_metadata: align DEFAULT_CONTEXT_LENGTHS kimi-k3 entry to 1,048,576
(matches endpoint-scoped override, models.dev, and OpenRouter live metadata)
- anthropic_adapter: classify the bare Coding Plan slug 'k3' (and k3.x/k3-*)
as Kimi family so adaptive thinking applies on proxied endpoints
- moonshot_schema: is_moonshot_model matches bare 'k3' so tool-schema
sanitization runs on the chat-completions path
- contributor mappings for githubespresso407, datachainsystems, Punyko8
Tests: 582 passed across 11 targeted files; hermetic E2E verifies picker
order (kimi-k3 first), no dupes, and 1M context resolution.
Moonshot China (api.moonshot.cn) has rolled out kimi-k3 to all
CN-endpoint keys, plus the new kimi-k2.7-code / -highspeed variants.
The kimi-coding-cn curated picker whitelist was still on the k2.6/k2.5
era list, so users holding CN keys could not select any of the new
models from 'hermes model' or the gateway /model picker even though
the underlying provider + endpoint already serve them.
Verified against a live CN key:
GET https://api.moonshot.cn/v1/models
-> [kimi-k3, kimi-k2.7-code, kimi-k2.7-code-highspeed, kimi-k2.6,
kimi-k2.5, moonshot-v1-* ...]
No provider-code changes; pure whitelist addition mirroring the
existing kimi-coding (global) list which already tracks k2.7-code.
PRs #55848 and #55853 both added claude-sonnet-5 to the anthropic and
gmi curated lists; keep one entry each (newest-sonnet-first ordering
under claude-fable-5, matching the existing list convention).
Add claude-sonnet-5 to the static curated lists for Anthropic, OpenRouter,
Nous Portal, Copilot, GMI, OpenCode Zen, and AWS Bedrock so the model
appears in hermes model / /model picker discovery.
Fixes#55846
Follow-up to the salvaged #66083/#42792 commits:
- alibaba (Qwen Cloud coding-intl) gets qwen3.7-plus too — same platform
allowlist as alibaba-coding-plan (issue #44662 comment by @coder-movers)
- qwen3-max substring context entry (262144) so the newly-listed
qwen3-max-2026-01-23 snapshot doesn't fall to the generic 131072 qwen
fallback
The model list for alibaba coding plan is currently out of sync with
the actually supported models. See the official documentation[1].
Per the docs, alibaba coding plan does not support qwen3.7-max;
it supports qwen3.7-plus instead. Additionally, qwen3-max-2026-01-23
was missing from the model list.
Changes to the alibaba-coding-plan model list:
- Replace qwen3.7-max with qwen3.7-plus
- Add qwen3-max-2026-01-23
[1] https://www.alibabacloud.com/help/en/model-studio/coding-plan
Consolidates the three Qwen provider slugs (alibaba / Qwen Cloud,
alibaba-coding-plan / Alibaba Cloud Coding Plan, qwen-oauth / Qwen CLI
OAuth) under a single 'Qwen' group row in the interactive provider
pickers, matching the existing OpenAI / Kimi / MiniMax / xAI groups.
Display-only via PROVIDER_GROUPS — slug identity, --provider, and
/model <provider:model> paths are unchanged. Because group_providers()
is the shared fold, the CLI 'hermes model' picker, the setup wizard,
and the Telegram /model keyboard all pick up the grouping with no
per-surface changes.
Replaces moonshotai/kimi-k2.6 (recommended) and moonshotai/kimi-k2.7-code
with moonshotai/kimi-k3 in both curated lists, regenerates the published
model-catalog.json manifest, and updates the docs example manifest (en+zh).
kimi-k3 verified live on both endpoints (Nous Portal /v1/models and
OpenRouter /api/v1/models; 1M context, $3/$15 per Mtok). Family-prefix
matching already covers k3 in moonshot_schema, cache policy, and context
heuristics — no code changes needed there.
Three follow-up fixes to the salvaged reasoning_effort support, all verified
live against ollama.com /v1/chat/completions + /api/show on deepseek-v4-pro,
gemma3, and qwen3-coder:
1. Capability-gate on /api/show 'thinking'. The original ignored the
supports_reasoning flag and emitted reasoning_effort for every model. Now
gated: only models whose native /api/show capabilities list contains
'thinking' (deepseek-v4 yes; gemma3 / qwen3-coder no) get reasoning_effort.
Mirrors the LM Studio pattern — capability resolved once per (model,
base_url) in run_agent._supports_reasoning_extra_body via a cached probe
(hermes_cli.models.ollama_model_supports_thinking), threaded into the
profile hook as supports_reasoning. No live HTTP in the per-request path.
2. Disable actually disables. Ollama Cloud defaults to thinking ON and IGNORES
the extra_body.thinking:{type:disabled} shape (verified: still returned
reasoning). The only working off switch is top-level reasoning_effort:'none'.
The salvaged code returned ({}, {}) for enabled:false / effort:none, leaving
thinking ON. Now emits {'reasoning_effort': 'none'}.
3. Omit unrecognized effort. The original forwarded any unknown string verbatim
including 'minimal' (a real Hermes effort level). Ollama Cloud rejects
unrecognized values with a hard HTTP 400 (accepted set: low/medium/high/
max/none), so forwarding 'minimal' would break the request. Now omitted.
Core touches (run_agent.py, hermes_cli/models.py) add the capability probe;
the plugin profile only consumes the resolved flag. 24/24 profile tests green;
194 provider/transport tests unaffected.
- Refresh _OFFICIAL_DOCS_PRICING fireworks entries against current
docs.fireworks.ai/serverless/pricing: qwen3p6-plus is gone (replaced
by qwen3p7-plus); add glm-5p2/5p1, kimi-k2p7-code, deepseek-v4-flash,
minimax-m3/m2p7, gpt-oss-120b/20b, and the routers/*-fast tiers with
their distinct higher rates.
- Picker pricing via get_pricing_for_provider('fireworks'): pure dict
transform over the shared models.dev in-memory/disk cache (1h TTL) +
_pricing_cache memoization — no new network call on the picker path.
- Wire pricing display into the generic api-key-provider setup flow so
Fireworks model pickers show $/M columns like OpenRouter/Nous do.
- Invariant tests: plugin fallback_models all priced, fast tiers price
higher than standard, every row carries cache_read < input.
Moves the fireworks entry in CANONICAL_PROVIDERS from its old slot
(after GMI Cloud) to directly below Nous Portal, ahead of OpenRouter.
Order propagates automatically to hermes model, the setup wizard,
Telegram /model, and the desktop provider catalog.
The remote model catalog (website/static/api/model-catalog.json) now labels
exactly one entry per provider block with "default": true — z-ai/glm-5.2 for
both OpenRouter and Nous Portal. That labeled entry is the model Hermes
silently lands on when the user never picked one, and it can be rotated by
editing the manifest alone: no release needed.
- model_catalog.py: get_default_model_from_cache() reads the label from the
in-process/disk cache only — never triggers a network fetch, so hot
resolution paths (agent build, gateway session setup) stay network-free.
- models.py: get_preferred_silent_default_model() resolves catalog label
first, PREFERRED_SILENT_DEFAULT_MODEL constant second (offline/fresh
install). _PROVIDER_SILENT_DEFAULT_OVERRIDES dict replaced by
_SILENT_DEFAULT_PROVIDERS routing through the shared resolver.
fetch_openrouter_models() preserves the "default" badge through live
/v1/models refreshes so the picker shows it.
- scripts/build_model_catalog.py: generator emits the default label so
regeneration can't drop it.
- website/docs/reference/model-catalog.md: schema documents the new field.
- Salvaged from PR #61141 (@HumphreySun98): bare-provider /model switches
(/model nous) route through the cost-safe default instead of curated
entry [0].
- tests: catalog-label precedence, constant fallback, stale-label fallback,
cache-only (no network) guarantee, and a shipped-manifest contract test
pinning the labeled entry to PREFERRED_SILENT_DEFAULT_MODEL.
E2E (temp HERMES_HOME): fresh-install constant fallback, shipped-manifest
label read, release-free rotation (relabeled cache -> new default across
models.py, tui_gateway, and gateway empty-model paths) all verified.
`detect_static_provider_for_model` handles a bare provider name typed as a
model (e.g. `/model nous`) by returning `_PROVIDER_MODELS[provider][0]` — the
first curated entry. For metered aggregators whose curated list is ordered
most-capable-first (Nous Portal), entry [0] is the priciest flagship, so
`/model nous` silently switched to it.
This is exactly the billing footgun `_PROVIDER_SILENT_DEFAULT_OVERRIDES` /
`get_default_model_for_provider` exist to prevent (per their docstring, a
missing model "escalated to Opus and billed 863 requests before the user
noticed"). The non-interactive fallback already routes through that cost-safe
helper; the interactive `/model <provider>` path did not.
Route this path through `get_default_model_for_provider` too. Providers
without a silent-default override are unchanged (the helper returns
`models[0]`), so only overridden providers (currently `nous`) change — from
the flagship to the low-cost default.
Adds regression tests: `/model nous` resolves to the cost-safe default, and
non-overridden providers still resolve to their first catalog model.
When a user starts a chat without ever selecting a model (GUI Chat App
onboarding, provider-set-but-model-missing config, empty model.default),
every silent fallback path resolved to the first curated catalog entry —
anthropic/claude-fable-5, the priciest flagship. Users were silently
billed for the most expensive model without opting in.
- hermes_cli/models.py: add PREFERRED_SILENT_DEFAULT_MODEL (z-ai/glm-5.2)
+ pick_silent_default_model() helper; point the nous silent-default
override at it and add an openrouter override (previously resolved to
"" and let downstream paths land on the flagship).
- hermes_cli/web_server.py: /api/model/recommended-default (the endpoint
the Desktop onboarding confirm card reads) now picks GLM-5.2 when the
provider's list carries it instead of blindly taking entry [0].
- tui_gateway/server.py: _resolve_model()'s last-resort literal was
anthropic/claude-sonnet-4; now PREFERRED_SILENT_DEFAULT_MODEL.
- tests: update empty-model fallback tests for the new contract.
PROVIDER_REGISTRY, its alias map, and CANONICAL_PROVIDERS all auto-extend
from registered ProviderProfiles since the provider-modules refactor
(20a4f79ed). Verified with real imports: registry entry, 'solar' alias
resolution via resolve_provider(), and the picker entry are identical
with the manual entries removed. The hermes_cli/providers.py overlay
stays (models.dev has a stale /v1/solar base URL and no UPSTAGE_BASE_URL
var), and the manual OPTIONAL_ENV_VARS entries stay (non-advanced key +
curated prompt text, matching the fireworks convention).
Adds Upstage Solar as a bundled model-provider plugin. Solar exposes an
OpenAI-compatible chat-completions endpoint at https://api.upstage.ai/v1, so
the generic chat_completions transport handles request/response/streaming/tool
calls — the profile is the core integration.
Provider registration (Upstage isn't in models.dev, so each registry that does
not auto-wire from the plugin layer needs an explicit entry — same pattern as
nvidia/gmi):
- plugins/model-providers/upstage/: UpstageProfile + plugin.yaml. Picker default
and offline catalog list only the agentic Solar Pro models, led by `solar-pro`
(rolling alias for the latest Pro). default_aux_model empty so aux tasks use
the main model. `solar` alias. UPSTAGE_BASE_URL overrides the host.
- hermes_cli/providers.py: HERMES_OVERLAYS + label + `solar` alias, so
resolve_provider_full('upstage') resolves (without this, an explicit
`provider: upstage` in config was dropped and fell through to auto-detect).
- hermes_cli/auth.py: PROVIDER_REGISTRY entry + `solar` alias, so `hermes
doctor` / resolve_provider recognise upstage (the static-registry path the
lazy profile-extension doesn't reliably cover at validation time).
- hermes_cli/models.py: CANONICAL_PROVIDERS entry places Upstage Solar in the
curated picker order (above the auto-appended `custom`).
- agent/model_metadata.py: context-window fallbacks (/v1/models omits
context_length); `solar-pro` carries the 128K Pro context as the catch-all.
Reasoning: UpstageProfile.build_api_kwargs_extras wires Solar's top-level
`reasoning_effort` (low|medium|high; xhigh/max→high). Reasoning-capable families
are solar-pro* and solar-open*; solar-mini/syn-pro never receive it. Defaults ON
at medium when unset (matches the /reasoning "medium (default)" label);
`/reasoning none` disables; explicit/saved settings are honored. No
reasoning_content echo handling needed (unlike DeepSeek/Kimi).
Web dashboard:
- web/src/pages/EnvPage.tsx: add an "Upstage Solar" provider group so
UPSTAGE_API_KEY / UPSTAGE_BASE_URL appear under LLM Providers (not "Other").
Docs/tests:
- .env.example: documents UPSTAGE_API_KEY / UPSTAGE_BASE_URL.
- tests: profile wiring, reasoning_effort mapping (pro/open/mini, efforts,
disabled, default-on), provider-resolver regression (resolve_provider_full /
get_provider / solar alias / overlay), `solar-pro` default.
Testing: pytest tests/providers tests/plugins/model_providers
tests/hermes_cli/test_upstage_provider.py tests/run_agent/test_provider_parity.py
tests/hermes_cli/test_api_key_providers.py; ruff clean. Verified end-to-end:
`hermes doctor` shows "Upstage Solar", and live chat works via both
`--provider upstage` and `--provider solar`. Reasoning wire format per
https://console.upstage.ai/api/docs/for-agents/raw. Platforms tested: macOS.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Include the Hermes client name and version with Gemini inference, model and tier checks, and TTS requests. Add focused coverage for the request headers and keep the Gemini-specific context scoped to Google Gemini endpoints.
Bundle Fireworks AI as a first-class BYOK provider across the CLI, web/TUI,
and desktop onboarding.
- New model-provider plugin with attribution headers (HTTP-Referer / X-Title)
so Fireworks can attribute Hermes traffic; PAYG-safe default aux + fallback
models (accounts/fireworks/models/...), IDs tracking fw-ai/fireconnect.
- Registered in CANONICAL_PROVIDERS so it appears in the CLI/web/TUI pickers.
- Alias wiring (fireworks-ai, fw) into both CLI resolvers.
- First-class wiring: OPTIONAL_ENV_VARS, HERMES_OVERLAYS (FIREWORKS_BASE_URL
override), doctor env hints. Live catalog + model_metadata are auto-derived.
- doctor: treat Fireworks' native slash-form IDs (accounts/fireworks/...) as
valid, not aggregator vendor prefixes, so it no longer tells Fireworks users
to switch to openrouter or drop the prefix.
- picker: plugin providers with no static curated list now lead with their
profile fallback_models, so the default is an agentic chat model instead of
whatever the live catalog returns first (Fireworks listed an image model,
flux-*, ahead of its chat models).
- Desktop onboarding: Fireworks as a RECOMMENDED hero card with the official
Fireworks logomark and a brand-purple badge, routing to the BYOK key form;
i18n in en/ja/zh/zh-hant.
- Tests: profile contract, first-class wiring (both resolvers, overlay, config,
doctor incl. the slash-form regression, aux headers, credentials), discovery
spot-check, and a live smoke test driven through the Hermes runtime.
Fire Pass (fpk_) support is coming soon; the future wiring is kept as a
commented-out scaffold in the plugin.