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Provider Runtime Resolution

اختيار المزوّد أثناء التشغيل

Advanced6 min readLesson 72 questions✓ 2026-08-18
Before you read

What this page is, and what it holds.

This page covers Provider Runtime Resolution. You will use hermes model and hermes chat here; about 6 minutes to read. The priciest model is not always best for your task. Compare on one task and set a spend cap.

11sections
0code examples
0tables
2commands
1,067source words
The official one-line description

How Hermes resolves providers, credentials, API modes, and auxiliary models at runtime

What you will be able to do

Outcomes taken from this page, not a template.

  • Understand what المزوّد والنموذج is and when you need it.
  • Run hermes model and hermes chat and understand what happens next.
  • Set OPENROUTER_API_KEY in the right place.
Identifiers you will meet

Exactly as they appear in Hermes.

Commands
  • hermes model
  • hermes chat
Environment variables
  • OPENROUTER_API_KEY
  • OPENAI_API_KEY
  • OPENAI_BASE_URL
  • ANTHROPIC_TOKEN
  • CLAUDE_CODE_OAUTH_TOKEN
Page map

Jump to the part you need.

  1. 01Resolution precedence
  2. 02Providers
  3. 03Output of runtime resolution
  4. 04Why this matters
  5. 05AI Gateway
  6. 06OpenRouter, AI Gateway, and custom OpenAI-compatible base URLs
  7. 07Native Anthropic path
  8. 08OpenAI Codex path
  9. 09Auxiliary model routing
  10. 10Fallback models
  11. 11Related docs
The full official page

Nothing summarised away.

The documentation body below is reproduced from the official source so commands and identifiers stay exact. Each section carries a short note describing what it contains.

Hermes has a shared provider runtime resolver used across:

  • CLI
  • gateway
  • cron jobs
  • ACP
  • auxiliary model calls

Primary implementation:

  • hermes_cli/runtime_provider.py — credential resolution, custom-endpoint runtime resolution
  • hermes_cli/auth.py — provider registry, resolve_provider()
  • hermes_cli/model_switch.py — shared /model switch pipeline (CLI + gateway)
  • agent/auxiliary_client.py — auxiliary model routing
  • providers/ — ABC + registry entry points (ProviderProfile, register_provider, get_provider_profile, list_providers)
  • plugins/model-providers/<name>/ — per-provider plugins (bundled) that declare api_mode, base_url, env_vars, fallback_models and register themselves into the registry on first access. User plugins at $HERMES_HOME/plugins/model-providers/<name>/ override bundled ones of the same name.

get_provider_profile() in providers/ returns a ProviderProfile for a given provider id. runtime_provider.py calls this at resolution time to get the canonical base_url, env_vars priority list, api_mode, and fallback_models without needing to duplicate that data in multiple files. Adding a new plugin under plugins/model-providers/<your-provider>/ (or $HERMES_HOME/plugins/model-providers/<your-provider>/) that calls register_provider() is enough for runtime_provider.py to pick it up — no branch needed in the resolver itself.

If you are trying to add a new first-class inference provider, read Adding Providers and the Model Provider Plugin guide alongside this page.

Resolution precedence

Commands you type in a terminal. Understand what one does before copying it. Commands here: hermes model.

At a high level, provider resolution uses:

  1. explicit CLI/runtime request
  2. config.yaml model/provider config
  3. environment variables
  4. provider-specific defaults or auto resolution

That ordering matters because Hermes treats the saved model/provider choice as the source of truth for normal runs. This prevents a stale shell export from silently overriding the endpoint a user last selected in hermes model.

Providers

Explains the idea itself. Read it slowly; the later sections build on it.

Current provider families include (see plugins/model-providers/ for the complete bundled set):

  • AI Gateway (Vercel)
  • OpenRouter
  • Nous Portal
  • OpenAI Codex
  • Copilot / Copilot ACP
  • Anthropic (native)
  • Google / Gemini (gemini)
  • Alibaba / DashScope (alibaba, alibaba-coding-plan)
  • DeepSeek
  • Z.AI
  • Kimi / Moonshot (kimi-coding, kimi-coding-cn)
  • MiniMax (minimax, minimax-cn, minimax-oauth)
  • Kilo Code
  • Hugging Face
  • OpenCode Zen / OpenCode Go
  • AWS Bedrock
  • Azure Foundry
  • NVIDIA NIM
  • xAI (Grok)
  • Arcee
  • GMI Cloud
  • StepFun
  • Qwen OAuth
  • Xiaomi
  • Ollama Cloud
  • LM Studio
  • Tencent TokenHub
  • Custom (provider: custom) — first-class provider for any OpenAI-compatible endpoint
  • Named custom providers (providers: dict in config.yaml; the legacy custom_providers list is still read for backward compatibility)

Output of runtime resolution

Explains the idea itself. Read it slowly; the later sections build on it.

The runtime resolver returns data such as:

  • provider
  • api_mode
  • base_url
  • api_key
  • source
  • provider-specific metadata like expiry/refresh info

Why this matters

Commands you type in a terminal. Understand what one does before copying it. Commands here: hermes chat.

This resolver is the main reason Hermes can share auth/runtime logic between:

  • hermes chat
  • gateway message handling
  • cron jobs running in fresh sessions
  • ACP editor sessions
  • auxiliary model tasks

AI Gateway

Explains the idea itself. Read it slowly; the later sections build on it.

Set AI_GATEWAY_API_KEY in ~/.hermes/.env and run with --provider ai-gateway. Hermes fetches available models from the gateway's /models endpoint, filtering to language models with tool-use support.

OpenRouter, AI Gateway, and custom OpenAI-compatible base URLs

Settings you configure once. Change one at a time so you can see what each does. Set OPENROUTER_API_KEY, OPENAI_API_KEY in your environment, not in the chat.

Hermes contains logic to avoid leaking the wrong API key to a custom endpoint when multiple provider keys exist (e.g. OPENROUTER_API_KEY, AI_GATEWAY_API_KEY, and OPENAI_API_KEY).

Each provider's API key is scoped to its own base URL:

  • OPENROUTER_API_KEY is only sent to openrouter.ai endpoints
  • AI_GATEWAY_API_KEY is only sent to ai-gateway.vercel.sh endpoints
  • OPENAI_API_KEY is used for custom endpoints and as a fallback

Hermes also distinguishes between:

  • a real custom endpoint selected by the user
  • the OpenRouter fallback path used when no custom endpoint is configured

That distinction is especially important for:

  • local model servers
  • non-OpenRouter/non-AI Gateway OpenAI-compatible APIs
  • switching providers without re-running setup
  • config-saved custom endpoints that should keep working even when OPENAI_BASE_URL is not exported in the current shell

Native Anthropic path

Settings you configure once. Change one at a time so you can see what each does. Set ANTHROPIC_TOKEN, CLAUDE_CODE_OAUTH_TOKEN in your environment, not in the chat.

Anthropic is not just "via OpenRouter" anymore.

When provider resolution selects anthropic, Hermes uses:

  • api_mode = anthropic_messages
  • the native Anthropic Messages API
  • agent/anthropic_adapter.py for translation

Credential resolution for native Anthropic now prefers refreshable Claude Code credentials over copied env tokens when both are present. In practice that means:

  • Claude Code credential files are treated as the preferred source when they include refreshable auth
  • manual ANTHROPIC_TOKEN / CLAUDE_CODE_OAUTH_TOKEN values still work as explicit overrides
  • Hermes preflights Anthropic credential refresh before native Messages API calls
  • Hermes still retries once on a 401 after rebuilding the Anthropic client, as a fallback path

OpenAI Codex path

Explains the idea itself. Read it slowly; the later sections build on it.

Codex uses a separate Responses API path:

  • api_mode = codex_responses
  • dedicated credential resolution and auth store support

Auxiliary model routing

Commands you type in a terminal. Understand what one does before copying it. Commands here: hermes model.

Auxiliary tasks such as:

  • vision
  • web extraction summarization
  • context compression summaries
  • skills hub operations
  • MCP helper operations
  • memory flushes

can use their own provider/model routing rather than the main conversational model.

When an auxiliary task is configured with provider main, Hermes resolves that through the same shared runtime path as normal chat. In practice that means:

  • env-driven custom endpoints still work
  • custom endpoints saved via hermes model / config.yaml also work
  • auxiliary routing can tell the difference between a real saved custom endpoint and the OpenRouter fallback

Fallback models

Explains the idea itself. Read it slowly; the later sections build on it.

Hermes supports a configured fallback provider chain — a list of (provider, model) entries tried in order when the primary model encounters errors. The legacy single-pair fallback_model dict is still accepted for back-compat (and migrated on first write).

How it works internally

  1. Storage: AIAgent.__init__ stores the fallback_model dict and sets _fallback_activated = False.
  1. Trigger points: _try_activate_fallback() is called from three places in the main retry loop in run_agent.py:
  2. After max retries on invalid API responses (None choices, missing content)
  3. On non-retryable client errors (HTTP 401, 403, 404)
  4. After max retries on transient errors (HTTP 429, 500, 502, 503)
  1. Activation flow (_try_activate_fallback):
  2. Returns False immediately if already activated or not configured
  3. Calls resolve_provider_client() from auxiliary_client.py to build a new client with proper auth
  4. Determines api_mode: codex_responses for openai-codex, anthropic_messages for anthropic, chat_completions for everything else
  5. Swaps in-place: self.model, self.provider, self.base_url, self.api_mode, self.client, self._client_kwargs
  6. For anthropic fallback: builds a native Anthropic client instead of OpenAI-compatible
  7. Re-evaluates prompt caching (enabled for Claude models on OpenRouter)
  8. Sets _fallback_activated = True — prevents firing again
  9. Resets retry count to 0 and continues the loop
  1. Config flow:
  2. CLI: reads the fallback chain via hermes_cli/fallback_config.get_fallback_chain() → passes to AIAgent(fallback_model=...)
  3. Gateway: gateway/run.py._load_fallback_model() reads config.yaml → passes to AIAgent
  4. Validation: both provider and model keys must be non-empty, or fallback is disabled

What does NOT support fallback

  • Subagent delegation (tools/delegate_tool.py): subagents inherit the parent's provider but not the fallback config
  • Auxiliary tasks: use their own independent provider auto-detection chain (see Auxiliary model routing above)

Cron jobs do support fallback: run_job() reads fallback_providers (or legacy fallback_model) from config.yaml and passes it to AIAgent(fallback_model=...), matching the gateway's _load_fallback_model() pattern. See Cron Internals.

Test coverage

Fallback behavior is exercised across several suites:

  • tests/run_agent/test_fallback_credential_isolation.py — credential isolation between primary and fallback
  • tests/hermes_cli/test_fallback_cmd.py — the /fallback CLI command
  • tests/gateway/test_fallback_eviction.py — gateway eviction of failed providers
Knowledge check

2 questions answered by this page alone.

Every option is a real identifier from the Hermes documentation. The wrong ones are real too, just from other pages.

1. Which of these environment variables actually appears in this lesson?
2. Which of these headings does not appear in this lesson?