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.
|
||
|---|---|---|
| .. | ||
| alibaba | ||
| alibaba-coding-plan | ||
| anthropic | ||
| arcee | ||
| azure-foundry | ||
| bedrock | ||
| copilot | ||
| copilot-acp | ||
| custom | ||
| deepinfra | ||
| deepseek | ||
| fireworks | ||
| gemini | ||
| gmi | ||
| huggingface | ||
| kilocode | ||
| kimi-coding | ||
| minimax | ||
| nous | ||
| novita | ||
| nvidia | ||
| ollama-cloud | ||
| openai-codex | ||
| opencode-zen | ||
| openrouter | ||
| qwen-oauth | ||
| stepfun | ||
| upstage | ||
| vertex | ||
| xai | ||
| xiaomi | ||
| zai | ||
| README.md | ||
Model Provider Plugins
Each subdirectory is a self-contained provider profile plugin. The
directory layout mirrors plugins/platforms/:
plugins/model-providers/
├── openrouter/
│ ├── __init__.py # registers the ProviderProfile
│ └── plugin.yaml # manifest: name, kind, version, description
├── anthropic/
│ ├── __init__.py
│ └── plugin.yaml
└── ...
How discovery works
providers/__init__.py._discover_providers() scans this directory (and
$HERMES_HOME/plugins/model-providers/) the first time anything calls
get_provider_profile() or list_providers(). Each __init__.py is
imported and expected to call providers.register_provider(profile).
User plugins at $HERMES_HOME/plugins/model-providers/<name>/ override
bundled plugins of the same name — last-writer-wins in
register_provider(). Drop a file there to replace a built-in.
Adding a new provider
-
Create
plugins/model-providers/<your_provider>/__init__.py:from providers import register_provider from providers.base import ProviderProfile my_provider = ProviderProfile( name="your-provider", aliases=("alias1", "alias2"), display_name="Your Provider", description="One-line description shown in the setup picker", signup_url="https://your-provider.example.com/keys", env_vars=("YOUR_PROVIDER_API_KEY", "YOUR_PROVIDER_BASE_URL"), base_url="https://api.your-provider.example.com/v1", default_aux_model="your-cheap-model", ) register_provider(my_provider) -
Create
plugins/model-providers/<your_provider>/plugin.yaml:name: your-provider-profile kind: model-provider version: 1.0.0 description: Short sentence about the provider author: Your Name
Nothing else needs to change. auth.py, config.py, models.py,
doctor.py, model_metadata.py, runtime_provider.py, and the
chat_completions transport all auto-wire from the registry.
Non-trivial profiles
Override the ProviderProfile hooks in a subclass for per-provider
quirks — see plugins/model-providers/openrouter/__init__.py for
build_extra_body and build_api_kwargs_extras examples, and
plugins/model-providers/gemini/__init__.py for thinking_config
translation.