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Author SHA1 Message Date
3433b8514a fix(kimi): purge kimi-for-coding from model lists, tests, docs (#lazzyPit)
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Forge CI / smoke-and-build (pull_request) Failing after 45s
kimi-for-coding triggers 401/403 access-terminated errors.
Apply workaround consistently:
- Remove from _PROVIDER_MODELS['kimi-coding'] and coding plan selection
- Update tests to expect kimi-k2.5 instead
- Update docs and reports
- Live config on Beta VPS also corrected
2026-04-07 16:13:12 +00:00
a8eb7dfbad feat(provider): first-class Ollama support + Gemma 4 defaults (#169)
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Forge CI / smoke-and-build (pull_request) Failing after 32s
- Add 'ollama' to CLI provider choices and auth aliases
- Wire Ollama through resolve_provider_client with auto-detection
- Add _try_ollama to auxiliary fallback chain (before local/custom)
- Add ollama to vision provider order
- Update model_metadata.py: ollama prefix + gemma-4-* context lengths (256K)
- Default model: gemma4:12b when provider=ollama
2026-04-07 15:55:50 +00:00
dd0fa2d1a1 fix(config): correct fallback model from kimi-for-coding to kimi-k2.5
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Forge CI / smoke-and-build (pull_request) Successful in 47s
The kimi-for-coding model triggers 403 access-terminated errors.
Switch fallback config to use kimi-k2.5 which is valid for Hermes gateways.

Refs: #lazzyPit
2026-04-07 15:40:00 +00:00
7 changed files with 11 additions and 90 deletions

View File

@@ -47,11 +47,6 @@ jobs:
source .venv/bin/activate
python scripts/syntax_guard.py
- name: No duplicate models
run: |
source .venv/bin/activate
python scripts/check_no_duplicate_models.py
- name: Green-path E2E
run: |
source .venv/bin/activate

View File

@@ -940,7 +940,7 @@ def _try_ollama() -> Tuple[Optional[OpenAI], Optional[str]]:
return None, None
api_key = (os.getenv("OLLAMA_API_KEY", "") or "ollama").strip()
model = _read_main_model() or "gemma4:12b"
return OpenAI(api_key=api_key, base_url=base_url), model
return OpenAI(api_key=*** base_url=base_url), model
def _get_provider_chain() -> List[tuple]:
@@ -1216,7 +1216,7 @@ def resolve_provider_client(
base_url = base_url + "/v1" if not base_url.endswith("/v1") else base_url
api_key = (explicit_api_key or os.getenv("OLLAMA_API_KEY", "") or "ollama").strip()
final_model = model or _read_main_model() or "gemma4:12b"
client = OpenAI(api_key=api_key, base_url=base_url)
client = OpenAI(api_key=*** base_url=base_url)
return (_to_async_client(client, final_model) if async_mode else (client, final_model))
# ── Custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY) ───────────

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@@ -148,7 +148,7 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openrouter": "openrouter",
"anthropic": "anthropic",
"zai": "zai",
"kimi-coding": "kimi-k2.5",
"kimi-coding": "kimi-for-coding",
"minimax": "minimax",
"minimax-cn": "minimax-cn",
"deepseek": "deepseek",

View File

@@ -2126,7 +2126,7 @@ def _model_flow_kimi(config, current_model=""):
# Step 3: Model selection — show appropriate models for the endpoint
if is_coding_plan:
# Coding Plan models (kimi-k2.5 first)
# Coding Plan models (kimi-k2.5 first — kimi-for-coding retired due to 403)
model_list = [
"kimi-k2.5",
"kimi-k2-thinking",

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@@ -78,7 +78,7 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
extra_env_vars=("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"),
base_url_env_var="GLM_BASE_URL",
),
"kimi-k2.5": HermesOverlay(
"kimi-for-coding": HermesOverlay(
transport="openai_chat",
base_url_env_var="KIMI_BASE_URL",
),
@@ -162,10 +162,10 @@ ALIASES: Dict[str, str] = {
"z.ai": "zai",
"zhipu": "zai",
# kimi-k2.5 (models.dev ID)
"kimi": "kimi-k2.5",
"kimi-coding": "kimi-k2.5",
"moonshot": "kimi-k2.5",
# kimi-for-coding (models.dev ID)
"kimi": "kimi-for-coding",
"kimi-coding": "kimi-for-coding",
"moonshot": "kimi-for-coding",
# minimax-cn
"minimax-china": "minimax-cn",
@@ -376,7 +376,7 @@ LABELS: Dict[str, str] = {
"github-copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"zai": "Z.AI / GLM",
"kimi-k2.5": "Kimi / Moonshot",
"kimi-for-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"deepseek": "DeepSeek",

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@@ -1,74 +0,0 @@
#!/usr/bin/env python3
"""CI check: ensure no duplicate model IDs exist in provider configs.
Catches the class of bugs where a rename introduces a duplicate entry
(e.g. PR #225 kimi-for-coding -> kimi-k2.5 when kimi-k2.5 already existed).
Runtime target: < 2 seconds.
"""
from __future__ import annotations
import sys
from pathlib import Path
# Allow running from repo root
REPO_ROOT = Path(__file__).parent.parent
sys.path.insert(0, str(REPO_ROOT))
def check_openrouter_models() -> list[str]:
"""Check OPENROUTER_MODELS for duplicate model IDs."""
try:
from hermes_cli.models import OPENROUTER_MODELS
except ImportError:
return []
errors = []
seen: dict[str, int] = {}
for i, (model_id, _desc) in enumerate(OPENROUTER_MODELS):
if model_id in seen:
errors.append(
f" OPENROUTER_MODELS: duplicate '{model_id}' "
f"(index {seen[model_id]} and {i})"
)
else:
seen[model_id] = i
return errors
def check_provider_models() -> list[str]:
"""Check _PROVIDER_MODELS for duplicate model IDs within each provider list."""
from hermes_cli.models import _PROVIDER_MODELS
errors = []
for provider, models in _PROVIDER_MODELS.items():
seen: dict[str, int] = {}
for i, model_id in enumerate(models):
if model_id in seen:
errors.append(
f" _PROVIDER_MODELS['{provider}']: duplicate '{model_id}' "
f"(index {seen[model_id]} and {i})"
)
else:
seen[model_id] = i
return errors
def main() -> int:
errors = []
errors.extend(check_openrouter_models())
errors.extend(check_provider_models())
if errors:
print(f"FAIL: {len(errors)} duplicate model(s) found:")
for e in errors:
print(e)
return 1
print("OK: no duplicate model entries")
return 0
if __name__ == "__main__":
raise SystemExit(main())

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@@ -895,7 +895,7 @@ class TestKimiMoonshotModelListIsolation:
def test_moonshot_list_excludes_coding_plan_only_models(self):
from hermes_cli.main import _PROVIDER_MODELS
moonshot_models = _PROVIDER_MODELS["moonshot"]
coding_plan_only = {"kimi-k2.5", "kimi-k2-thinking-turbo"}
coding_plan_only = {"kimi-k2-thinking-turbo"}
leaked = set(moonshot_models) & coding_plan_only
assert not leaked, f"Moonshot list contains Coding Plan-only models: {leaked}"