feat(azure-foundry): auto-detect transport, models, context length
The azure-foundry wizard now probes the endpoint before asking the user
to pick anything by hand:
1. URL path sniff — endpoints ending in /anthropic are Azure Foundry
Claude routes and skip to anthropic_messages.
2. GET <base>/models probe — if the endpoint returns an OpenAI-shaped
model list, we switch to chat_completions and prefill the picker
with the returned deployment/model IDs.
3. Anthropic Messages probe — fallback for endpoints that don't expose
/models but do speak the Anthropic Messages shape.
4. Manual fallback — private endpoints / custom routes still work;
the user picks API mode + types a deployment name.
Context length for the selected model is resolved through the existing
agent.model_metadata.get_model_context_length chain (models.dev,
provider metadata, hardcoded family fallbacks) and stored in
model.context_length when a non-default value is found.
Also refactors runtime_provider so Azure Foundry resolution is reused
between the explicit-credentials path and the default top-level path —
previously the /v1 strip for Anthropic-style Azure only ran when the
caller passed explicit_* args, which meant config-driven sessions
hit a double-/v1 URL.
New module hermes_cli/azure_detect.py with 19 unit tests covering:
- path sniff, model ID extraction, probe fallbacks
- HTTP error handling (URLError, HTTPError)
- context-length lookup passthrough
- DEFAULT_FALLBACK_CONTEXT rejection
New runtime tests cover:
- OpenAI-style Azure Foundry
- Anthropic-style Azure Foundry with /v1 stripping
- Missing base_url / API key raising AuthError
Rationale: Microsoft confirms there's no pure-API-key endpoint to list
Azure deployments (that requires ARM management auth). The v1 Azure
OpenAI endpoint does expose /models with the resource's available
model catalog, which is good enough for picker prefill in the common
case. Users on private/gated endpoints fall through to manual entry.
This commit is contained in:
@@ -602,6 +602,71 @@ def _resolve_openrouter_runtime(
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}
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def _resolve_azure_foundry_runtime(
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*,
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requested_provider: str,
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model_cfg: Dict[str, Any],
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explicit_api_key: Optional[str] = None,
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explicit_base_url: Optional[str] = None,
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) -> Dict[str, Any]:
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"""Resolve an Azure Foundry runtime entry.
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Reads ``model.base_url`` + ``model.api_mode`` from config.yaml (or
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explicit overrides), pulls the API key from ``.env`` / env var, and
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strips a trailing ``/v1`` for Anthropic-style endpoints because the
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Anthropic SDK appends ``/v1/messages`` internally.
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Raises :class:`AuthError` when required values are missing.
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"""
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explicit_api_key = str(explicit_api_key or "").strip()
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explicit_base_url_clean = str(explicit_base_url or "").strip().rstrip("/")
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cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
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cfg_base_url = ""
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cfg_api_mode = "chat_completions"
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if cfg_provider == "azure-foundry":
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cfg_base_url = str(model_cfg.get("base_url") or "").strip().rstrip("/")
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cfg_api_mode = _parse_api_mode(model_cfg.get("api_mode")) or "chat_completions"
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env_base_url = os.getenv("AZURE_FOUNDRY_BASE_URL", "").strip().rstrip("/")
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base_url = explicit_base_url_clean or cfg_base_url or env_base_url
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if not base_url:
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raise AuthError(
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"Azure Foundry requires a base URL. Set it via 'hermes model' or "
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"the AZURE_FOUNDRY_BASE_URL environment variable."
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)
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api_key = explicit_api_key
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if not api_key:
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try:
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from hermes_cli.config import get_env_value
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api_key = get_env_value("AZURE_FOUNDRY_API_KEY") or ""
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except Exception:
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api_key = ""
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if not api_key:
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api_key = os.getenv("AZURE_FOUNDRY_API_KEY", "").strip()
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if not api_key:
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raise AuthError(
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"Azure Foundry requires an API key. Set AZURE_FOUNDRY_API_KEY in "
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"~/.hermes/.env or run 'hermes model' to configure."
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)
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# Anthropic SDK appends /v1/messages itself, so strip any trailing /v1
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# we inherited from the configured base_url to avoid double-/v1 paths.
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if cfg_api_mode == "anthropic_messages":
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base_url = re.sub(r"/v1/?$", "", base_url)
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source = "explicit" if (explicit_api_key or explicit_base_url) else "config"
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return {
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"provider": "azure-foundry",
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"api_mode": cfg_api_mode,
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"base_url": base_url,
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"api_key": api_key,
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"source": source,
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"requested_provider": requested_provider,
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}
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def _resolve_explicit_runtime(
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*,
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provider: str,
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@@ -693,44 +758,12 @@ def _resolve_explicit_runtime(
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# Azure Foundry: user-configured endpoint with selectable API mode
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if provider == "azure-foundry":
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cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
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cfg_base_url = ""
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cfg_api_mode = "chat_completions"
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if cfg_provider == "azure-foundry":
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cfg_base_url = str(model_cfg.get("base_url") or "").strip().rstrip("/")
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cfg_api_mode = _parse_api_mode(model_cfg.get("api_mode")) or "chat_completions"
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env_base_url = os.getenv("AZURE_FOUNDRY_BASE_URL", "").strip().rstrip("/")
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base_url = explicit_base_url or cfg_base_url or env_base_url
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if not base_url:
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raise AuthError(
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"Azure Foundry requires a base URL. Set it via 'hermes model' or "
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"the AZURE_FOUNDRY_BASE_URL environment variable."
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)
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api_key = explicit_api_key
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if not api_key:
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from hermes_cli.config import get_env_value
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api_key = get_env_value("AZURE_FOUNDRY_API_KEY") or os.getenv("AZURE_FOUNDRY_API_KEY", "")
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if not api_key:
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raise AuthError(
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"Azure Foundry requires an API key. Set AZURE_FOUNDRY_API_KEY in "
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"~/.hermes/.env or run 'hermes model' to configure."
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)
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# For Anthropic-style endpoints, strip /v1 suffix since the Anthropic SDK
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# appends /v1/messages internally
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if cfg_api_mode == "anthropic_messages":
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base_url = re.sub(r"/v1/?$", "", base_url)
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return {
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"provider": "azure-foundry",
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"api_mode": cfg_api_mode,
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"base_url": base_url,
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"api_key": api_key,
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"source": "explicit",
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"requested_provider": requested_provider,
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}
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return _resolve_azure_foundry_runtime(
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requested_provider=requested_provider,
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model_cfg=model_cfg,
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explicit_api_key=explicit_api_key,
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explicit_base_url=explicit_base_url,
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)
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pconfig = PROVIDER_REGISTRY.get(provider)
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if pconfig and pconfig.auth_type == "api_key":
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@@ -820,6 +853,20 @@ def resolve_runtime_provider(
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"requested_provider": requested_provider,
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}
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# Azure Foundry: user-configured endpoint with selectable API mode
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# (OpenAI-style chat_completions or Anthropic-style anthropic_messages).
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# Resolve before the custom-runtime / pool / generic paths so Azure
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# config is always picked up from model.base_url + model.api_mode,
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# regardless of whether the caller passed explicit_* args.
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if requested_provider == "azure-foundry":
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azure_runtime = _resolve_azure_foundry_runtime(
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requested_provider=requested_provider,
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model_cfg=_get_model_config(),
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explicit_api_key=explicit_api_key,
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explicit_base_url=explicit_base_url,
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)
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return azure_runtime
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custom_runtime = _resolve_named_custom_runtime(
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requested_provider=requested_provider,
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explicit_api_key=explicit_api_key,
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