Gateway /model <name> --provider opencode-go (or any provider whose /models
endpoint is down, 404s, or doesn't exist) silently failed. validate_requested_model
returned accepted=False whenever fetch_api_models returned None, switch_model
returned success=False, and the gateway never wrote _session_model_overrides —
so the switch appeared to succeed in the error message flow but the next turn
kept calling the old provider.
The validator already had static-catalog fallbacks for MiniMax and Codex
(providers without a /models endpoint). Extended the same pattern as the
terminal fallback: when the live probe fails, consult provider_model_ids()
for the curated catalog. Known models → accepted+recognized. Close typos →
auto-corrected. Unknown models → soft-accepted with a 'Not in curated
catalog' warning. Providers with no catalog at all → soft-accepted with a
generic 'Note:' warning, finally honoring the in-code comment ('Accept and
persist, but warn') that had been lying since it was written.
Tests: 7 new tests in test_opencode_go_validation_fallback.py covering the
catalog lookup, case-insensitive match, auto-correct, unknown-with-suggestion,
unknown-without-suggestion, and no-catalog paths. TestValidateApiFallback in
test_model_validation.py updated — its four 'rejected_when_api_down' tests
were encoding exactly the bug being fixed.
* feat(models): hide OpenRouter models that don't advertise tool support
Port from Kilo-Org/kilocode#9068.
hermes-agent is tool-calling-first — every provider path assumes the
model can invoke tools. Models whose OpenRouter supported_parameters
doesn't include 'tools' (e.g. image-only or completion-only models)
cannot be driven by the agent loop and fail at the first tool call.
Filter them out of fetch_openrouter_models() so they never appear in
the model picker (`hermes model`, setup wizard, /model slash command).
Permissive when the field is missing — OpenRouter-compatible gateways
(Nous Portal, private mirrors, older snapshots) don't always populate
supported_parameters. Treat missing as 'unknown → allow' rather than
silently emptying the picker on those gateways. Only hide models
whose supported_parameters is an explicit list that omits tools.
Tests cover: tools present → kept, tools absent → dropped, field
missing → kept, malformed non-list → kept, non-dict item → kept,
empty list → dropped.
* refactor(acp): validate method_id against advertised provider in authenticate()
Previously authenticate() accepted any method_id whenever the server had
provider credentials configured. This was not a vulnerability under the
personal-assistant trust model (ACP is stdio-only, local-trust — anything
that can reach the transport is already code-execution-equivalent to the
user), but it was sloppy API hygiene: the advertised auth_methods list
from initialize() was effectively ignored.
Now authenticate() only returns AuthenticateResponse when method_id
matches the currently-advertised provider (case-insensitive). Mismatched
or missing method_id returns None, consistent with the no-credentials
case.
Raised by xeloxa via GHSA-g5pf-8w9m-h72x. Declined as a CVE
(ACP transport is stdio, local-trust model), but the correctness fix is
worth having on its own.
OpenCode Go's published model list (opencode.ai/docs/go) includes kimi-k2.6,
qwen3.5-plus, and qwen3.6-plus, but Hermes' curated lists didn't carry them.
When the live /models probe fails during `hermes model`, users fell back to
the stale curated list and had to type newer models via 'Enter custom model
name'.
Adds kimi-k2.6 (now first in the Go list), qwen3.6-plus, and qwen3.5-plus
to both the model picker (hermes_cli/models.py) and setup defaults
(hermes_cli/setup.py). All routed through the existing opencode-go
chat_completions path — no api_mode changes needed.
Sweep ~74 redundant local imports across 21 files where the same module
was already imported at the top level. Also includes type fixes and lint
cleanups on the same branch.
Delete the stale literal `_PROVIDER_MODELS["ai-gateway"]` (gpt-5,
gemini-2.5-pro, claude-4.5 — outdated the moment PR #13223 landed with
its curated `AI_GATEWAY_MODELS` snapshot) and derive it from
`AI_GATEWAY_MODELS` instead, so the picker tuples and the bare-id
fallback catalog stay in sync automatically. Also fixes
`get_default_model_for_provider('ai-gateway')` to return kimi-k2.6
(the curated recommendation) instead of claude-opus-4.6.
The original list was copied from OpenRouter conventions and didn't
match what Vercel actually hosts. Verified against the live
/v1/models endpoint (266 models):
- qwen/qwen3.6-plus → alibaba/qwen3.6-plus (Vercel hosts Qwen under alibaba/)
- z-ai/glm-5.1 → zai/glm-5.1 (no hyphen)
- x-ai/grok-4.20 → xai/grok-4.20-reasoning (no hyphen, picks reasoning variant)
- google/gemini-3-flash-preview → google/gemini-3-flash (no -preview suffix)
- moonshotai/kimi-k2.5 → moonshotai/kimi-k2.6 (newest available)
Vercel provides a d?to= redirect URL that routes users through their
team picker to the AI Gateway API keys management page. Using this
specific URL lands users directly on the "Create key" page instead of
the generic AI Gateway dashboard.
When the live Vercel AI Gateway catalog exposes a Moonshot model with
zero input AND output pricing, it's promoted to position #1 as the
recommended default — even if the exact ID isn't in the curated
AI_GATEWAY_MODELS list. This enables dynamic discovery of new free
Moonshot variants without requiring a PR to update curation.
Paid Moonshot models are unaffected; falls back to the normal curated
recommended tag when no free Moonshot is live.
Moves Vercel AI Gateway from the bottom of the list to near the top,
adjacent to other multi-model aggregators. The existing bottom
position was a result of the list growing by appending new providers
over time — the new position makes it more discoverable.
- Curated AI_GATEWAY_MODELS list in hermes_cli/models.py (OSS first,
kimi-k2.5 as recommended default).
- fetch_ai_gateway_models() filters the curated list against the live
/v1/models catalog; falls back to the snapshot on network failure.
- fetch_ai_gateway_pricing() translates Vercel's input/output field
names to the prompt/completion shape the shared picker expects;
carries input_cache_read / input_cache_write through unchanged.
- get_pricing_for_provider() now handles ai-gateway.
- _model_flow_ai_gateway() provides a guided URL prompt when no key
is set and a pricing-column picker; routes ai-gateway to it instead
of the generic api-key flow.
Add kimi-k2.6 as the top model in kimi-coding, kimi-coding-cn, and
moonshot static provider lists (models.py, setup.py, main.py).
kimi-k2.5 retained alongside it.
* feat(security): URL query param + userinfo + form body redaction
Port from nearai/ironclaw#2529.
Hermes already has broad value-shape coverage in agent/redact.py
(30+ vendor prefixes, JWTs, DB connstrs, etc.) but missed three
key-name-based patterns that catch opaque tokens without recognizable
prefixes:
1. URL query params - OAuth callback codes (?code=...),
access_token, refresh_token, signature, etc. These are opaque and
won't match any prefix regex. Now redacted by parameter NAME.
2. URL userinfo (https://user:pass@host) - for non-DB schemes. DB
schemes were already handled by _DB_CONNSTR_RE.
3. Form-urlencoded body (k=v pairs joined by ampersands) -
conservative, only triggers on clean pure-form inputs with no
other text.
Sensitive key allowlist matches ironclaw's (exact case-insensitive,
NOT substring - so token_count and session_id pass through).
Tests: +20 new test cases across 3 test classes. All 75 redact tests
pass; gateway/test_pii_redaction and tools/test_browser_secret_exfil
also green.
Known pre-existing limitation: _ENV_ASSIGN_RE greedy match swallows
whole all-caps ENV-style names + trailing text when followed by
another assignment. Left untouched here (out of scope); URL query
redaction handles the lowercase case.
* feat: replace kimi-k2.5 with kimi-k2.6 on OpenRouter and Nous Portal
Update model catalogs for OpenRouter (fallback snapshot), Nous Portal,
and NVIDIA NIM to reference moonshotai/kimi-k2.6. Add kimi-k2.6 to
the fixed-temperature frozenset in auxiliary_client.py so the 0.6
contract is enforced on aggregator routings.
Native Moonshot provider lists (kimi-coding, kimi-coding-cn, moonshot,
opencode-zen, opencode-go) are unchanged — those use Moonshot's own
model IDs which are unaffected.
Custom Claude proxies fronted by Cloudflare with Browser Integrity Check
enabled (e.g. `packyapi.com`) reject requests with the default
`Python-urllib/*` signature, returning HTTP 403 "error code: 1010".
`probe_api_models` swallowed that in its blanket `except Exception:
continue`, so `validate_requested_model` returned the misleading
"Could not reach the <provider> API to validate `<model>`" error even
though the endpoint is reachable and lists the requested model.
Advertise the probe request as `hermes-cli/<version>` so Cloudflare
treats it as a first-party client. This mirrors the pattern already used
by `agent/gemini_native_adapter.py` and `agent/anthropic_adapter.py`,
which set a descriptive UA for the same reason.
Reproduction (pre-fix):
python3 -c "
import urllib.request
req = urllib.request.Request(
'https://www.packyapi.com/v1/models',
headers={'Authorization': 'Bearer sk-...'})
urllib.request.urlopen(req).read()
"
urllib.error.HTTPError: HTTP Error 403: Forbidden
(body: b'error code: 1010')
Any non-urllib UA (Mozilla, curl, reqwest) returns 200 with the
OpenAI-compatible models listing.
Tested on macOS (Python 3.11). No cross-platform concerns — the change
is a single header addition to an existing `urllib.request.Request`.
The google-gemini-cli (Cloud Code Assist) and gemini (native API) model
pickers only offered gemini-2.5-*, so users picking Gemini 3 had to type
a custom model name — usually wrong (e.g. "gemini-3.1-pro"), producing
a 404 from cloudcode-pa.googleapis.com.
Replace the 2.5-* entries with the actual Code Assist / Gemini API
preview IDs: gemini-3.1-pro-preview, gemini-3-pro-preview,
gemini-3-flash-preview (and gemini-3.1-flash-lite-preview on native).
Update the hardcoded fallback in hermes_cli/main.py to match.
Copilot's menu retains gemini-2.5-pro — that catalog is Microsoft's.
- add a native Gemini adapter over generateContent/streamGenerateContent
- switch the built-in gemini provider off the OpenAI-compatible endpoint
- preserve thought signatures and native functionResponse replay
- route auxiliary Gemini clients through the same adapter
- add focused unit coverage plus native-provider integration checks
Google-side 429 Code Assist errors now flow through Hermes' normal rate-limit
path (status_code on the exception, Retry-After preserved via error.response)
instead of being opaque RuntimeErrors. User sees a one-line capacity message
instead of a 500-char JSON dump.
Changes
- CodeAssistError grows status_code / response / retry_after / details attrs.
_extract_status_code in error_classifier picks up status_code and classifies
429 as FailoverReason.rate_limit, so fallback_providers triggers the same
way it does for SDK errors. run_agent.py line ~10428 already walks
error.response.headers for Retry-After — preserving the response means that
path just works.
- _gemini_http_error parses the Google error envelope (error.status +
error.details[].reason from google.rpc.ErrorInfo, retryDelay from
google.rpc.RetryInfo). MODEL_CAPACITY_EXHAUSTED / RESOURCE_EXHAUSTED / 404
model-not-found each produce a human-readable message; unknown shapes fall
back to the previous raw-body format.
- Drop gemma-4-26b-it from hermes_cli/models.py, hermes_cli/setup.py, and
agent/model_metadata.py — Google returned 404 for it today in local repro.
Kept gemma-4-31b-it (capacity-constrained but not retired).
Validation
| | Before | After |
|---------------------------|--------------------------------|-------------------------------------------|
| Error message | 'Code Assist returned HTTP 429: {500 chars JSON}' | 'Gemini capacity exhausted for gemini-2.5-pro (Google-side throttle...)' |
| status_code on error | None (opaque RuntimeError) | 429 |
| Classifier reason | unknown (string-match fallback) | FailoverReason.rate_limit |
| Retry-After honored | ignored | extracted from RetryInfo or header |
| gemma-4-26b-it picker | advertised (404s on Google) | removed |
Unit + E2E tests cover non-streaming 429, streaming 429, 404 model-not-found,
Retry-After header fallback, malformed body, and classifier integration.
Targeted suites: tests/agent/test_gemini_cloudcode.py (81 tests), full
tests/hermes_cli (2203 tests) green.
Co-authored-by: teknium1 <teknium@nousresearch.com>
Follow-up on the native NVIDIA NIM provider salvage. The original PR wired
PROVIDER_REGISTRY + HERMES_OVERLAYS correctly but missed several touchpoints
required for full parity with other OpenAI-compatible providers (xai,
huggingface, deepseek, zai).
Gaps closed:
- hermes_cli/main.py:
- Add 'nvidia' to the _model_flow_api_key_provider dispatch tuple so
selecting 'NVIDIA NIM' in `hermes model` actually runs the api-key
provider flow (previously fell through silently).
- Add 'nvidia' to `hermes chat --provider` argparse choices so the
documented test command (`hermes chat --provider nvidia --model ...`)
parses successfully.
- hermes_cli/config.py: Register NVIDIA_API_KEY and NVIDIA_BASE_URL in
OPTIONAL_ENV_VARS so setup wizard can prompt for them and they're
auto-added to the subprocess env blocklist.
- hermes_cli/doctor.py: Add NVIDIA NIM row to `_apikey_providers` so
`hermes doctor` probes https://integrate.api.nvidia.com/v1/models.
- hermes_cli/dump.py: Add NVIDIA_API_KEY → 'nvidia' mapping for
`hermes dump` credential masking.
- tests/tools/test_local_env_blocklist.py: Extend registry_vars fixture
with NVIDIA_API_KEY to verify it's blocked from leaking into subprocesses.
- agent/model_metadata.py: Add 'nemotron' → 131072 context-length entry
so all Nemotron variants get 128K context via substring match (rather
than falling back to MINIMUM_CONTEXT_LENGTH).
- hermes_cli/models.py: Fix hallucinated model ID
'nvidia/nemotron-3-nano-8b-a4b' → 'nvidia/nemotron-3-nano-30b-a3b'
(verified against live integrate.api.nvidia.com/v1/models catalog).
Expand curated list from 5 to 9 agentic models mapping to OpenRouter
defaults per provider-guide convention: add qwen3.5-397b-a17b,
deepseek-v3.2, llama-3.3-nemotron-super-49b-v1.5, gpt-oss-120b.
- cli-config.yaml.example: Document 'nvidia' provider option.
- scripts/release.py: Map asurla@nvidia.com → anniesurla in AUTHOR_MAP
for CI attribution.
E2E verified: `hermes chat --provider nvidia ...` now reaches NVIDIA's
endpoint (returns 401 with bogus key instead of argparse error);
`hermes doctor` detects NVIDIA NIM when NVIDIA_API_KEY is set.
Adds NVIDIA NIM as a first-class provider: ProviderConfig in
auth.py, HermesOverlay in providers.py, curated models
(Nemotron plus other open source models hosted on
build.nvidia.com), URL mapping in model_metadata.py, aliases
(nim, nvidia-nim, build-nvidia, nemotron), and env var tests.
Docs updated: providers page, quickstart table, fallback
providers table, and README provider list.
Move moonshotai/kimi-k2.5 to position #1 in every model picker list:
- OPENROUTER_MODELS (with 'recommended' tag)
- _PROVIDER_MODELS: nous, kimi-coding, opencode-zen, opencode-go, alibaba, huggingface
- _model_flow_kimi() Coding Plan model list in main.py
kimi-coding-cn and moonshot lists already had kimi-k2.5 first.
The Copilot API returns HTTP 400 "model_not_supported" when it receives a
model ID it doesn't recognize (vendor-prefixed like
`anthropic/claude-sonnet-4.6` or dash-notation like `claude-sonnet-4-6`).
Two bugs combined to leave both formats unhandled:
1. `_COPILOT_MODEL_ALIASES` in hermes_cli/models.py only covered bare
dot-notation and vendor-prefixed dot-notation. Hermes' default Claude
IDs elsewhere use hyphens (anthropic native format), and users with an
aggregator-style config who switch `model.provider` to `copilot`
inherit `anthropic/claude-X-4.6` — neither case was in the table.
2. The Copilot branch of `normalize_model_for_provider()` only stripped
the vendor prefix when it matched the target provider (`copilot/`) or
was the special-cased `openai/` for openai-codex. Every other vendor
prefix survived to the Copilot request unchanged.
Fix:
- Add dash-notation aliases (`claude-{opus,sonnet,haiku}-4-{5,6}` and the
`anthropic/`-prefixed variants) to the alias table.
- Rewire the Copilot / Copilot-ACP branch of
`normalize_model_for_provider()` to delegate to the existing
`normalize_copilot_model_id()`. That function already does alias
lookups, catalog-aware resolution, and vendor-prefix fallback — it was
being bypassed for the generic normalisation entry point.
Because `switch_model()` already calls `normalize_model_for_provider()`
for every `/model` switch (line 685 in model_switch.py), this single fix
covers the CLI startup path (cli.py), the `/model` slash command path,
and the gateway load-from-config path.
Closes#6879
Credits dsr-restyn (#6743) who independently diagnosed the dash-notation
case; their aliases are folded into this consolidated fix alongside the
vendor-prefix stripping repair.
Mirrors OpenRouter which already lists anthropic/claude-opus-4.7 as
recommended. Surfaces the model in the `hermes model` picker and the
gateway /model flow for Nous Portal users.
Context length (1M) is already covered by the existing claude-opus-4.7
entry in agent/model_metadata.py DEFAULT_CONTEXT_LENGTHS.
All 61 TUI-related tests green across 3 consecutive xdist runs.
tests/tui_gateway/test_protocol.py:
- rename `get_messages` → `get_messages_as_conversation` on mock DB (method
was renamed in the real backend, test was still stubbing the old name)
- update tool-message shape expectation: `{role, name, context}` matches
current `_history_to_messages` output, not the legacy `{role, text}`
tests/hermes_cli/test_tui_resume_flow.py:
- `cmd_chat` grew a first-run provider-gate that bailed to "Run: hermes
setup" before `_launch_tui` was ever reached; 3 tests stubbed
`_resolve_last_session` + `_launch_tui` but not the gate
- factored a `main_mod` fixture that stubs `_has_any_provider_configured`,
reused by all three tests
tests/test_tui_gateway_server.py:
- `test_config_set_personality_resets_history_and_returns_info` was flaky
under xdist because the real `_write_config_key` touches
`~/.hermes/config.yaml`, racing with any other worker that writes
config. Stub it in the test.
Claude Opus 4.7 introduced several breaking API changes that the current
codebase partially handled but not completely. This patch finishes the
migration per the official migration guide at
https://platform.claude.com/docs/en/about-claude/models/migration-guideFixesNousResearch/hermes-agent#11137
Breaking-change coverage:
1. Adaptive thinking + output_config.effort — 4.7 is now recognized by
_supports_adaptive_thinking() (extends previous 4.6-only gate).
2. Sampling parameter stripping — 4.7 returns 400 for any non-default
temperature / top_p / top_k. build_anthropic_kwargs drops them as a
safety net; the OpenAI-protocol auxiliary path (_build_call_kwargs)
and AnthropicCompletionsAdapter.create() both early-exit before
setting temperature for 4.7+ models. This keeps flush_memories and
structured-JSON aux paths that hardcode temperature from 400ing
when the aux model is flipped to 4.7.
3. thinking.display = "summarized" — 4.7 defaults display to "omitted",
which silently hides reasoning text from Hermes's CLI activity feed
during long tool runs. Restoring "summarized" preserves 4.6 UX.
4. Effort level mapping — xhigh now maps to xhigh (was xhigh→max, which
silently over-efforted every coding/agentic request). max is now a
distinct ceiling per Anthropic's 5-level effort model.
5. New stop_reason values — refusal and model_context_window_exceeded
were silently collapsed to "stop" (end_turn) by the adapter's
stop_reason_map. Now mapped to "content_filter" and "length"
respectively, matching upstream finish-reason handling already in
bedrock_adapter.
6. Model catalogs — claude-opus-4-7 added to the Anthropic provider
list, anthropic/claude-opus-4.7 added at top of OpenRouter fallback
catalog (recommended), claude-opus-4-7 added to model_metadata
DEFAULT_CONTEXT_LENGTHS (1M, matching 4.6 per migration guide).
7. Prefill docstrings — run_agent.AIAgent and BatchRunner now document
that Anthropic Sonnet/Opus 4.6+ reject a trailing assistant-role
prefill (400).
8. Tests — 4 new tests in test_anthropic_adapter covering display
default, xhigh preservation, max on 4.7, refusal / context-overflow
stop_reason mapping, plus the sampling-param predicate. test_model_metadata
accepts 4.7 at 1M context.
Tested on macOS 15.5 (darwin). 119 tests pass in
tests/agent/test_anthropic_adapter.py, 1320 pass in tests/agent/.
provider_model_ids() and list_authenticated_providers() had no case for
"ollama-cloud", so the /model slash command showed 0 models despite
fetch_ollama_cloud_models() being fully implemented. The CLI subcommand
worked because it called fetch_ollama_cloud_models() directly.
- Add ollama-cloud case to provider_model_ids() in models.py
- Populate curated dict for ollama-cloud in list_authenticated_providers()
- Add tests for both code paths
Group A (3 tests): 'No LLM provider configured' RuntimeError
- test_user_message_surrogates_sanitized, test_counters_initialized_in_init,
test_openai_prompt_tokens_unchanged
- Root cause: AIAgent.__init__ now requires base_url alongside api_key to
skip resolve_provider_client() (which returns None when API keys are
blanked in CI). Added base_url='http://localhost:1234/v1' to test
agent construction.
Group B (5 tests): Discord slash command auto-registration
- test_auto_registers_missing_gateway_commands, test_auto_registered_command_*,
test_register_skill_group_*
- Root cause: xdist workers that loaded a discord mock WITHOUT
app_commands.Command/Group caused _register_slash_commands() to fail
silently. Added comprehensive shared discord mock in
tests/gateway/conftest.py (same pattern as existing telegram mock).
Group C (5 errors): Discord reply mode 'NoneType has no DMChannel'
- All TestReplyToText tests
- Root cause: FakeDMChannel was not a subclass of real discord.DMChannel,
so isinstance() checks in _handle_message failed when running in full
suite (real discord installed). Made FakeDMChannel inherit from
discord.DMChannel when available. Removed fragile monkeypatch approach.
Group D (2 tests): detect_provider_for_model wrong provider
- test_openrouter_slug_match (got 'ai-gateway'), test_bare_name_gets_
openrouter_slug (got 'copilot')
- Root cause: ai-gateway, copilot, and kilocode are multi-vendor
aggregators that list other providers' models (OpenRouter-style slugs).
They were being matched in Step 1 before OpenRouter. Added all three
to _AGGREGATORS set so they're skipped like nous/openrouter.
Group E (1 test): model_flow_custom StopIteration
- test_model_flow_custom_saves_verified_v1_base_url
- Root cause: 'Display name' prompt was added after the test was written.
The input iterator had 5 answers but the flow now asks 6 questions.
Added 6th empty string answer.
Group F (1 test): Telegram proxy env assertion
- test_uses_proxy_env_for_primary_and_fallback_transports
- Root cause: _resolve_proxy_url() now checks TELEGRAM_PROXY first
(via resolve_proxy_url('TELEGRAM_PROXY')). Test didn't clear this
env var, allowing potential leakage from other tests in xdist workers.
Added TELEGRAM_PROXY to the cleanup list.
copilot_model_api_mode() called normalize_copilot_model_id() which
fetched the GitHub model catalog via HTTP, then the secondary endpoint
check fetched it again because the catalog was never passed through.
Fix: fetch the catalog once at the top of copilot_model_api_mode()
and pass it to normalize_copilot_model_id(). The secondary check
then sees a non-None catalog and skips the redundant fetch.
For a Claude model switch on Copilot this eliminates one 5-second-
timeout HTTP call from the interactive /model path.
Surfaced during review of PR #10533.
Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
detect_provider_for_model() silently remapped models to OpenRouter when
the direct provider's credentials weren't found via env vars. Three bugs:
1. Credential check only looked at env vars from PROVIDER_REGISTRY,
missing credential pool entries, auth store, and OAuth tokens
2. When env var check failed, silently returned ('openrouter', slug)
instead of the direct provider the model actually belongs to
3. Users with valid credentials via non-env-var mechanisms (pool,
OAuth, Claude Code tokens) got silently rerouted
Fix:
- Expand credential check to also query credential pool and auth store
- Always return the direct provider match regardless of credential
status -- let client init handle missing creds with a clear error
rather than silently routing through the wrong provider
Same philosophy as the provider-required fix: don't guess, don't
silently reroute, error clearly when something is missing.
Closes#10300
Route kimi-coding-cn through _resolve_kimi_base_url() in both
get_api_key_provider_status() and resolve_api_key_provider_credentials()
so CN users with sk-kimi- prefixed keys get auto-detected to the Kimi
Coding Plan endpoint, matching the existing behavior for kimi-coding.
Also update the kimi-coding display label to accurately reflect the
dual-endpoint setup (Kimi Coding Plan + Moonshot API).
Salvaged from PR #10525 by kkikione999.
- Add glm-5v-turbo to OpenRouter, Nous, and native Z.AI model lists
- Add glm-5v context length entry (200K tokens) to model metadata
- Update Z.AI endpoint probe to try multiple candidate models per
endpoint (glm-5.1, glm-5v-turbo, glm-4.7) — fixes detection for
newer coding plan accounts that lack older models
- Add zai to _PROVIDER_VISION_MODELS so auxiliary vision tasks
(vision_analyze, browser screenshots) route through 5v
Fixes#9888
* feat(skills): add fitness-nutrition skill to optional-skills
Cherry-picked from PR #9177 by @haileymarshall.
Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies
Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)
Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'
* fix: auto-correct close model name matches in /model validation
When a user types a model name with a minor typo (e.g. gpt5.3-codex instead
of gpt-5.3-codex), the validation now auto-corrects to the closest match
instead of accepting the wrong name with a warning.
Uses difflib get_close_matches with cutoff=0.9 to avoid false corrections
(e.g. gpt-5.3 should not silently become gpt-5.4). Applied consistently
across all three validation paths: codex provider, custom endpoints, and
generic API-probed providers.
The validate_requested_model() return dict gains an optional corrected_model
key that switch_model() applies before building the result.
Reported by Discord user — /model gpt5.3-codex was accepted with a warning
but would fail at the API level.
---------
Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
* Add hermes debug share instructions to all issue templates
- bug_report.yml: Add required Debug Report section with hermes debug share
and /debug instructions, make OS/Python/Hermes version optional (covered
by debug report), demote old logs field to optional supplementary
- setup_help.yml: Replace hermes doctor reference with hermes debug share,
add Debug Report section with fallback chain (debug share -> --local -> doctor)
- feature_request.yml: Add optional Debug Report section for environment context
All templates now guide users to run hermes debug share (or /debug in chat)
and paste the resulting paste.rs links, giving maintainers system info,
config, and recent logs in one step.
* feat: add openrouter/elephant-alpha to curated model lists
- Add to OPENROUTER_MODELS (free, positioned above GPT models)
- Add to _PROVIDER_MODELS["nous"] mirror list
- Add 256K context window fallback in model_metadata.py
