Follow-up to the salvaged CommandCode signature fix: accepting base_url
but ignoring it left custom endpoints (user-configured model.base_url /
COMMANDCODE_BASE_URL proxies) fetching the public catalog instead of the
configured one. Reviewer dansigma flagged this on PR #88851.
Class-wide fix, not a CommandCode patch:
- providers/base.py: a caller base_url that DIFFERS from the profile's
default now wins over models_url. Equality with the default means "not
customised" (callers pass base_url unconditionally, defaulting to the
profile's own URL) and keeps models_url as the endpoint, preserving the
OpenRouter-style split-catalog behavior.
- commandcode: _fetch_commandcode_models() takes the endpoint override;
both profile overrides forward base_url.
- Tests: base-class precedence (custom beats models_url, default does
not), CommandCode redirect via live local HTTP server incl. claude-*
filter, and default-echo hitting the canonical endpoint. All verified
to fail against the pre-fix implementation (sabotage run).
The model picker's generic live-fetch path (hermes_cli/models.py
provider_model_ids) calls profile.fetch_models(api_key=..., base_url=...).
Both CommandCode overrides only accepted api_key/timeout, so every picker
open raised TypeError, which was silently swallowed, leaving the provider
with zero models.
Match the base ProviderProfile.fetch_models signature (base_url kwarg) and
add a regression test asserting both profiles accept it.
Reconciles the salvaged Responses-API mandate with the bundled meta-ai
plugin that landed in #88565:
- meta-ai profile api_mode -> codex_responses (prompt caching engages
only on /v1/responses; 0% vs 93-99% measured). Custom endpoints with a
non-api.meta.ai base URL still fall through to chat_completions via
the host-driven mandate design.
- cli-config.yaml.example: point the example at MODEL_API_KEY (Meta's
documented env var) and note the bundled provider covers the default
endpoint
- tests/providers/test_meta_ai_profile.py updated for the new wire
- plugins/model-providers/meta-ai/__init__.py: drop out-of-tree install
instructions from the module docstring (now bundled)
- tests/providers/test_meta_ai_profile.py: port the plugin's test suite
into the repo (registry discovery instead of file-location import)
- website/docs/integrations/providers.md: meta-ai in the first-class
API-key provider list, META_BASE_URL override, contributor-tier
data-training note
Ships the meta-ai provider profile from
albertodepaola/hermes-meta-provider as a bundled model-provider plugin:
OpenAI-compatible chat completions at https://api.meta.ai/v1,
MODEL_API_KEY auth, top-level reasoning_effort dial with the Meta
none->minimal 400 guard, vision support, 16k default max_tokens, and
muse-spark-1.2 / muse-spark-1.2-contributor as the offline fallback
catalog.
The provider-parity contract requires every CANONICAL provider to render a
card on the desktop Keys tab. /api/env rows are keyed by env var, and both
CommandCode profiles shared the single COMMANDCODE_API_KEY — so the
commandcode-anthropic profile had no row of its own and
test_provider_parity failed on CI (slice 6/12).
Fix: both profiles keep the shared API key, but each declares its own
base-URL override var (COMMANDCODE_BASE_URL / COMMANDCODE_ANTHROPIC_BASE_URL),
matching the sibling-provider pattern, so each renders its own card.
Verified: test_provider_parity.py + commandcode + providers suites green
locally (86 passed); PROVIDER_REGISTRY splits key vs base-URL vars correctly
for both profiles.
ActualProfile.fetch_models() overrides ProviderProfile's default
implementation with its own Actual-specific base_url resolution
(ACTUAL_BASE_URL env var, hosted-vs-local normalization), but called raw
urllib.request.urlopen(req, timeout=timeout) directly instead of the base
class's open_credentialed_url(). Every other provider either uses the
base class default or forwards to it via super() and gets
SafeCredentialRedirectHandler for free — Actual is the only provider that
attaches a Bearer token to its own Request object and opens it with the
stdlib's default redirect handling, which forwards every header,
including Authorization, across a cross-origin redirect.
Actual's own feature surface makes the trigger realistic: ACTUAL_BASE_URL
is a first-class, documented way to point this provider at a self-hosted
or local-offline endpoint (see the local-loopback no-auth path already
handled elsewhere in this provider), so a misconfigured or compromised
endpoint 302-ing to another host leaks ACTUAL_API_KEY to it.
Fix: import and call the same open_credentialed_url() the base class
uses, keeping Actual's own URL-resolution logic unchanged.
Adds an end-to-end regression test using two real local HTTP servers (no
mocking of the security module itself) — one redirects, the other
records the Authorization header it receives — mirroring
test_urllib_security.py's own redirect tests. Also repoints the existing
fetch_models test's mock from urllib.request.urlopen to
hermes_cli.urllib_security.open_credentialed_url, since fetch_models no
longer calls the former. Mutation-verified: the new redirect test fails
on pre-fix code with the Authorization header observed at the redirect
target.
Swaps the Google flash entry in the OpenRouter and Nous Portal curated
lists to the newly released gemini-3.7-flash (half the price of
3.6-flash: $0.375/M in, $1.875/M out per OpenRouter live metadata;
served on both endpoints, verified live). Also updates the OpenRouter
plugin fallback_models mirror and regenerates model-catalog.json.
Scoped to the two named providers: vertex/gemini/gmi curated lists and
aux defaults still carry 3.6-flash.
OpenCode identifies clients by request headers, the same way OpenRouter
does. Our opencode-zen and opencode-go profiles never set any, so every
request went out with the OpenAI SDK default "OpenAI/Python x.y.z"
User-Agent and OpenCode had no way to tell the traffic was Hermes Agent.
Two changes:
- Add HTTP-Referer, X-Title, and a HermesAgent User-Agent to both
OpenCode profiles through profile.default_headers, the same path
Fireworks uses. This covers chat_completions, codex_responses,
auxiliary clients, model switches, and the models catalog fetch.
- Merge the same headers in build_anthropic_client for opencode.ai
base URLs. The Anthropic Messages route (Claude on Zen, MiniMax and
Qwen on Go) builds its client there and never sees profile headers.
Verified against the live Go relay with a real key. Both wire formats
return HTTP 200 and the requests now carry X-Title "Hermes Agent",
HTTP-Referer, and User-Agent HermesAgent/0.20.0.
OpenRouter's /v1/models entries advertise reasoning capability
(supported_parameters + reasoning.mandatory/supported_efforts). Use that
metadata as the primary gate in _supports_reasoning_extra_body instead of
the hand-maintained vendor-prefix allowlist, which went stale one vendor at
a time (nvidia/ missing -> #75386). Also clamp the requested effort to the
nearest LOWER catalog-supported level in the OpenRouter profile so ultra/max
against a high-capped route no longer 4xxes.
Cache-only on the hot path: capabilities parse for free out of the existing
fetch_openrouter_models() payload, a background warmer covers cold starts,
and unknown models/offline catalogs fall back to the static prefix list
unchanged.
K3 only recognizes low/high/max. Previously the Kimi provider only
forwarded low/medium/high verbatim and dropped every other level
(xhigh/max/ultra/minimal) to the thinking toggle, silently ignoring
the user's requested effort.
Now maps the full Hermes vocabulary onto K3's set, matching K3's own
server-side mapping:
low, minimal → low
medium, high → high
xhigh, max, ultra → max
ref: https://www.kimi.com/code/docs/en/kimi-code/models.html
The Kimi team noticed that traffic from Hermes Coding Plan users
identifies itself as Claude (User-Agent: claude-code/0.1.0) rather
than the actual client. They asked us to update the UA so they can
properly attribute traffic and understand how their services are
accessed — especially important as they open up to more third-party
agents.
Three code paths were sending wrong/attribution-less headers to Kimi:
1. run_agent.py — _apply_client_headers_for_base_url sent
{"User-Agent": "claude-code/0.1.0"} for api.kimi.com. Now sends
the same _AI_GATEWAY_HEADERS set used for Vercel AI Gateway:
HTTP-Referer + X-Title + HermesAgent/{version} User-Agent.
2. agent/anthropic_adapter.py — the Anthropic Messages path for
api.kimi.com/coding sent 'claude-code/0.1.0'. Now sends the same
three-header attribution set.
3. plugins/model-providers/kimi-coding/__init__.py — both kimi and
kimi_cn profiles sent a static 'hermes-agent/1.0' with no
HTTP-Referer or X-Title. Now sends the full three-header set with
a dynamic version, matching the pattern used by the gmi, fireworks,
xai, and ai-gateway provider profiles.
The attribution header set (HTTP-Referer + X-Title + User-Agent) is
the canonical Hermes pattern used for OpenRouter, Vercel AI Gateway,
Fireworks, and other providers that read these headers for traffic
attribution.
Titling ran on the user's main chat model, so a five-word title was billed
to a frontier reasoning model and inherited its latency. Pinning a cheap
model id instead just moves the problem: the hardcoded default was already
dead upstream and every call paid a 404 before the retry net caught it.
Match model FAMILIES against the provider's live /v1/models catalog,
preferring rolling '-latest' aliases where a provider publishes them, and
order the families by measured latency. Nothing to bump when a provider
ships a new mini/flash/haiku. Opt-in per task, so compression, vision, and
search keep 'auto means my chat model'.
- Add contributors/emails/Axmr1@users.noreply.github.com for CI
attribution check (bare noreply format needs explicit mapping)
- Update opencode-zen plugin docstring: Go routing now includes
GPT → codex_responses and Qwen → anthropic_messages (was stale,
only listed MiniMax and GLM/Kimi)
- fetch_models(): accept base_url kwarg (interface grew on main since May)
- runtime_provider: config-driven loopback base_url now reaches the local
no-auth placeholder before the usable-secret gate (added on main in the
interim, would otherwise AuthError on keyless local setups)
- test: fetch is now called with base_url by the generic live-fetch path
Cherry-picked from PR #78959 by @JoaoMarcos44 with authorship preserved.
Follow-up: hoist _cache_scope_from_session_id(session_id) to a local in
build_kwargs so it's computed once instead of 4 times per call.
Closes#78941. Closes#79012. Closes#79013. Closes#79014. Closes#79015.
Co-authored-by: JoaoMarcos44 <joaomarcosdias444@gmail.com>
NOTION_API_KEY/LINEAR_API_KEY defaults, DEEPINFRA_API_KEY model gate, FAL_KEY via the file's own _scoped_credential helper, XAI/VERCEL/DAYTONA presence checks, GITHUB_TOKEN/GH_TOKEN + GitHub App creds in tirith/skills_hub, and the masked HERMES_API_KEY display in tui_gateway config.show all route through get_secret.
gemini-2.5-flash shuts down Oct 16 2026 (Google deprecation schedule)
and gemini-3-flash-preview is superseded. Update every hardcoded
default to the current GA flash model:
- gemini_native_adapter: probe_gemini_tier + _create_chat_completion
default params; free-tier guidance de-pinned from a specific model's
RPD number so it doesn't stale again
- auxiliary_client: gemini/kilocode fallback aux models,
_OPENROUTER_MODEL, _NOUS_MODEL -> google/gemini-3.6-flash
(verified live on both OpenRouter and Nous portal /models)
- provider plugins: kilocode + vertex default_aux_model
- hindsight memory plugin: gemini provider default
- setup wizard gemini list: 3-flash-preview -> 3.6-flash (matches the
curated picker catalog)
- tests: aux-client assertions that pinned the old default literal now
reference the _NOUS_MODEL constant, so the next default bump can't
break them (change-detector cleanup)
Fixes#32360.
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.
Direct tool HTTP calls already identified as Hermes-Agent, but the main
OpenAI-SDK chat path still sent OpenAI/Python. Set Hermes-Agent/<ver> for
api.x.ai clients (xai + xai-oauth) so normal text traffic is attributed correctly.
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.
Auxiliary LLM calls routed through OpenRouter now carry the `session_id`
sticky routing key, so they pin to the same provider endpoint as the
conversation they belong to instead of routing independently.
`OpenRouterProfile.build_extra_body` sourced the key only from its explicit
argument. Auxiliary call sites — compression, title generation, vision,
web_extract, session_search, MoA slots — funnel through
`agent.auxiliary_client`, which has no session handle and never passes one.
Those calls sent NO sticky key at all, so OpenRouter fell back to hashing
the opening messages and each aux call could land on a different provider
than the conversation it served. Per OpenRouter's prompt-caching docs a
present `session_id` is used directly as the routing key and activates
stickiness on the first successful request rather than only after a cache
hit, so the missing key also delayed pinning for the main loop.
Resolve it from the ambient conversation contextvar first, explicit argument
as fallback — the same resolution the Nous Portal profile uses (f2f4df064d)
and the same one `nous_portal_tags` already used for the `conversation=` tag.
The ambient value is the session-lineage ROOT, so the key also stays stable
for installs that opt out of the default `compression.in_place: true` and
across delegate-subagent trees.
The xAI `x-grok-conv-id` cache-affinity header in `build_api_kwargs_extras`
had the identical gap and is fixed the same way; it remains model-gated to
`x-ai/grok-*` / `xai/grok-*`.
Fixes#70820. Credit to @webtecnica, who reported it and submitted #70883
first; that PR threaded `session_id` through `call_llm` to reach the same
goal. This takes the ambient-contextvar route instead because none of the
34 `call_llm` call sites currently pass a `session_id`, so the parameter
alone would not have changed any live request.
Tests: 2 cases in tests/providers/test_provider_profiles.py, both verified
to fail against the pre-fix behavior via a sabotage run. E2E-validated on a
real AIAgent driving the out-of-turn compaction path.
The Nous Portal profile publishes a top-level `session_id` that the Portal
uses as its sticky routing key, pinning a conversation to one upstream
endpoint so explicit Anthropic `cache_control` breakpoints stay warm
(those caches are instance-local, so a reroute cold-writes instead of reads).
`NousProfile.build_extra_body` sourced that key only from the explicit
`session_id` argument. Auxiliary call sites — compression, title generation,
vision, web_extract, session_search, MoA slots — funnel through
`agent.auxiliary_client`, which has no session handle and never passes one.
They carried the `conversation=` tag but NO sticky key at all, so each one
routed independently of the conversation it belonged to.
Resolve the key the way `nous_portal_tags` already resolves that tag:
ambient lineage-ROOT contextvar first, explicit argument as fallback. Fixes
every aux call site at once with no per-call-site plumbing.
Also publish the root in the `_compress_context` forwarder when nothing is
ambient. Out-of-turn entry points (`/compact`, the gateway `/compress`
command and its hygiene sweep, partial head compression) call it outside
`run_conversation`'s scope, so the summarizer's aux call ran untagged and
unkeyed; the caller's value is restored in `finally` so a compaction never
leaks its tag.
Scope note: this does NOT keep the compaction turn's own prompt cache warm.
Compaction replaces the history with a summary and rebuilds the system
prompt, so that request is a cold write on any endpoint — what a stable key
buys is the turns AFTER compaction reading the cache it wrote. Under the
default `compression.in_place: true` (#38763) the session id does not rotate
at compaction, so for the main loop the ambient root and the explicit
argument already agree; the ambient resolution additionally holds the key
stable for installs that opt back into rotating compaction and across
delegate-subagent trees.
Salvaged from #71747. Subsumes the aux-call half of #70883 (@webtecnica),
which threaded `session_id` through `call_llm` to close the same gap.
Tests: 4 cases in tests/agent/test_portal_tags.py; both fix halves verified
to fail against the pre-fix behavior via sabotage runs.
* feat(nous): send top-level session_id for provider sticky routing
The Nous Portal profile only embedded the session id inside portal tags,
so Claude traffic through the portal had no sticky-routing key. Multi-turn
sessions could reroute between upstream endpoints (Anthropic/Vertex/
Bedrock), cold-writing a fresh prompt cache on every reroute since each
provider's cache is instance-local.
Mirror the OpenRouter profile: emit extra_body.session_id whenever the
agent has one, pinning every turn of a session to the same endpoint so
explicit cache_control breakpoints stay warm.
* test: expect top-level session_id in Nous max-iterations summary body
Sibling site of the profile change — the max-iterations summary path
builds its request through the same NousProfile.build_extra_body(), so
its exact-shape assertion now includes the sticky-routing session_id
when the agent has a session.
test_gmi_provider asserts fallback_models == _PROVIDER_MODELS["gmi"];
the salvaged plugin commit placed sonnet-5 after sonnet-4.6 while the
curated list has it before. Match the curated ordering.
The test test_provider_model_ids_falls_back_to_static_models asserts
provider_model_ids('gmi') == list(_PROVIDER_MODELS['gmi']), but when
live API is unavailable the function returns fallback_models from the
provider profile instead of _PROVIDER_MODELS. Add claude-sonnet-5 to
the GMI plugin's fallback_models to match the curated list update.
The Copilot provider profile unconditionally mapped ``xhigh`` to ``high`` before
checking the model's catalog, so models that DO support ``xhigh`` (e.g. the
gpt-5.x family per the live /models catalog) were silently capped one level
down.
Honor the requested effort when the catalog lists it as supported, and only
downgrade when it does not, choosing the nearest weaker supported level
(xhigh->high, minimal->low, else medium, else the first supported level). This
matches the nearest-down clamp behavior used elsewhere for the ``max`` effort.
Adds tests/plugins/model_providers/test_copilot_profile.py covering forward,
downgrade, and fallback paths (catalog lookup stubbed).
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.
Ollama's /v1/chat/completions silently ignores extra_body.think (it only
honours it on /api/chat — ollama/ollama#14820), so agent.reasoning_effort:
none never actually disabled thinking on OpenAI-compatible Ollama routes.
Emit the top-level reasoning_effort='none' field (which Ollama respects)
alongside think=False (kept for proxies and the native /api/chat path).
The PR's second half (propagating reasoning_config to the background-review
fork) already landed on main via agent/background_review.py, so only the
provider-profile change is salvaged here, resolved onto the current
GLM/effort-aware profile.
Salvaged from PR #29820 by @Epoxidex.
The upstream migration to inference.nousresearch.com broke routing for
inference-api.nousresearch.com. Restore the correct base_url and drop
the stale alias match in _is_nous_inference_route().
Fixes#60715
Review findings from the 4-angle pass:
- Unknown-but-enabled effort levels now collapse to Solar's strongest
(high) instead of silently downgrading to the medium default — guards
against the next #62650-style vocabulary addition. Explicit-empty
effort keeps the medium default.
- fallback_models test now asserts the behavior contract (non-empty, no
denied families) instead of freezing the exact model tuple
(change-detector, AGENTS.md reject reason).
- Drop unused pytest import in test_upstage_provider.py.
Main added max/ultra effort levels (#62650) after this PR branched;
without the mapping 'ultra' silently fell through to the medium default.
Matches the xhigh/max collapse-to-strongest convention used by other
profiles.
Pin the Upstage default to the concrete solar-pro3 instead of the
solar-pro rolling alias:
- plugin fallback_models is now ("solar-pro3",); entry [0] is the setup default
- drop the "solar-pro" context-window fallback entry (solar-pro3 covers it)
- update the reasoning default-on docstring and profile tests accordingly
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Invert the reasoning-support check from an allow-list (solar-pro,
solar-open) to a deny-list of the known non-reasoning families
(solar-mini, syn-pro). Newly released Solar models now get
reasoning_effort by default instead of having it silently dropped.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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>
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.
Teknium