hermes-agent/website/docs/user-guide/features/fallback-providers.md
Teknium 252d68fd45
docs: deep audit — fix stale config keys, missing commands, and registry drift (#22784)
* docs: deep audit — fix stale config keys, missing commands, and registry drift

Cross-checked ~80 high-impact docs pages (getting-started, reference, top-level
user-guide, user-guide/features) against the live registries:

  hermes_cli/commands.py    COMMAND_REGISTRY (slash commands)
  hermes_cli/auth.py        PROVIDER_REGISTRY (providers)
  hermes_cli/config.py      DEFAULT_CONFIG (config keys)
  toolsets.py               TOOLSETS (toolsets)
  tools/registry.py         get_all_tool_names() (tools)
  python -m hermes_cli.main <subcmd> --help (CLI args)

reference/
- cli-commands.md: drop duplicate hermes fallback row + duplicate section,
  add stepfun/lmstudio to --provider enum, expand auth/mcp/curator subcommand
  lists to match --help output (status/logout/spotify, login, archive/prune/
  list-archived).
- slash-commands.md: add missing /sessions and /reload-skills entries +
  correct the cross-platform Notes line.
- tools-reference.md: drop bogus '68 tools' headline, drop fictional
  'browser-cdp toolset' (these tools live in 'browser' and are runtime-gated),
  add missing 'kanban' and 'video' toolset sections, fix MCP example to use
  the real mcp_<server>_<tool> prefix.
- toolsets-reference.md: list browser_cdp/browser_dialog inside the 'browser'
  row, add missing 'kanban' and 'video' toolset rows, drop the stale
  '38 tools' count for hermes-cli.
- profile-commands.md: add missing install/update/info subcommands, document
  fish completion.
- environment-variables.md: dedupe GMI_API_KEY/GMI_BASE_URL rows (kept the
  one with the correct gmi-serving.com default).
- faq.md: Anthropic/Google/OpenAI examples — direct providers exist (not just
  via OpenRouter), refresh the OpenAI model list.

getting-started/
- installation.md: PortableGit (not MinGit) is what the Windows installer
  fetches; document the 32-bit MinGit fallback.
- installation.md / termux.md: installer prefers .[termux-all] then falls
  back to .[termux].
- nix-setup.md: Python 3.12 (not 3.11), Node.js 22 (not 20); fix invalid
  'nix flake update --flake' invocation.
- updating.md: 'hermes backup restore --state pre-update' doesn't exist —
  point at the snapshot/quick-snapshot flow; correct config key
  'updates.pre_update_backup' (was 'update.backup').

user-guide/
- configuration.md: api_max_retries default 3 (not 2); display.runtime_footer
  is the real key (not display.runtime_metadata_footer); checkpoints defaults
  enabled=false / max_snapshots=20 (not true / 50).
- configuring-models.md: 'hermes model list' / 'hermes model set ...' don't
  exist — hermes model is interactive only.
- tui.md: busy_indicator -> tui_status_indicator with values
  kaomoji|emoji|unicode|ascii (not kawaii|minimal|dots|wings|none).
- security.md: SSH backend keys (TERMINAL_SSH_HOST/USER/KEY) live in .env,
  not config.yaml.
- windows-wsl-quickstart.md: there is no 'hermes api' subcommand — the
  OpenAI-compatible API server runs inside hermes gateway.

user-guide/features/
- computer-use.md: approvals.mode (not security.approval_level); fix broken
  ./browser-use.md link to ./browser.md.
- fallback-providers.md: top-level fallback_providers (not
  model.fallback_providers); the picker is subcommand-based, not modal.
- api-server.md: API_SERVER_* are env vars — write to per-profile .env,
  not 'hermes config set' which targets YAML.
- web-search.md: drop web_crawl as a registered tool (it isn't); deep-crawl
  modes are exposed through web_extract.
- kanban.md: failure_limit default is 2, not '~5'.
- plugins.md: drop hard-coded '33 providers' count.
- honcho.md: fix unclosed quote in echo HONCHO_API_KEY snippet; document
  that 'hermes honcho' subcommand is gated on memory.provider=honcho;
  reconcile subcommand list with actual --help output.
- memory-providers.md: legacy 'hermes honcho setup' redirect documented.

Verified via 'npm run build' — site builds cleanly; broken-link count went
from 149 to 146 (no regressions, fixed a few in passing).

* docs: round 2 audit fixes + regenerate skill catalogs

Follow-up to the previous commit on this branch:

Round 2 manual fixes:
- quickstart.md: KIMI_CODING_API_KEY mentioned alongside KIMI_API_KEY;
  voice-mode and ACP install commands rewritten — bare 'pip install ...'
  doesn't work for curl-installed setups (no pip on PATH, not in repo
  dir); replaced with 'cd ~/.hermes/hermes-agent && uv pip install -e
  ".[voice]"'. ACP already ships in [all] so the curl install includes it.
- cli.md / configuration.md: 'auxiliary.compression.model' shown as
  'google/gemini-3-flash-preview' (the doc's own claimed default);
  actual default is empty (= use main model). Reworded as 'leave empty
  (default) or pin a cheap model'.
- built-in-plugins.md: added the bundled 'kanban/dashboard' plugin row
  that was missing from the table.

Regenerated skill catalogs:
- ran website/scripts/generate-skill-docs.py to refresh all 163 per-skill
  pages and both reference catalogs (skills-catalog.md,
  optional-skills-catalog.md). This adds the entries that were genuinely
  missing — productivity/teams-meeting-pipeline (bundled),
  optional/finance/* (entire category — 7 skills:
  3-statement-model, comps-analysis, dcf-model, excel-author, lbo-model,
  merger-model, pptx-author), creative/hyperframes,
  creative/kanban-video-orchestrator, devops/watchers,
  productivity/shop-app, research/searxng-search,
  apple/macos-computer-use — and rewrites every other per-skill page from
  the current SKILL.md. Most diffs are tiny (one line of refreshed
  metadata).

Validation:
- 'npm run build' succeeded.
- Broken-link count moved 146 -> 155 — the +9 are zh-Hans translation
  shells that lag every newly-added skill page (pre-existing pattern).
  No regressions on any en/ page.
2026-05-09 13:19:51 -07:00

16 KiB

title description sidebar_label sidebar_position
Fallback Providers Configure automatic failover to backup LLM providers when your primary model is unavailable. Fallback Providers 8

Fallback Providers

Hermes Agent has three layers of resilience that keep your sessions running when providers hit issues:

  1. Credential pools — rotate across multiple API keys for the same provider (tried first)
  2. Primary model fallback — automatically switches to a different provider:model when your main model fails
  3. Auxiliary task fallback — independent provider resolution for side tasks like vision, compression, and web extraction

Credential pools handle same-provider rotation (e.g., multiple OpenRouter keys). This page covers cross-provider fallback. Both are optional and work independently.

Primary Model Fallback

When your main LLM provider encounters errors — rate limits, server overload, auth failures, connection drops — Hermes can automatically switch to a backup provider:model pair mid-session without losing your conversation.

Configuration

The easiest path is the interactive manager:

hermes fallback

hermes fallback reuses the provider picker from hermes model — same provider list, same credential prompts, same validation. Use the subcommands add, list (alias ls), remove (alias rm), and clear to manage the chain. Changes persist under the top-level fallback_providers: list in config.yaml.

If you'd rather edit the YAML directly, add a fallback_model section to ~/.hermes/config.yaml:

fallback_model:
  provider: openrouter
  model: anthropic/claude-sonnet-4

Both provider and model are required. If either is missing, the fallback is disabled.

:::note fallback_model vs fallback_providers fallback_model (singular) is the legacy single-fallback key — Hermes still honors it for back-compat. fallback_providers (plural, list) supports multiple fallbacks tried in order; hermes fallback writes to this key. When both are set, Hermes merges them with fallback_providers taking priority. :::

Supported Providers

Provider Value Requirements
AI Gateway ai-gateway AI_GATEWAY_API_KEY
OpenRouter openrouter OPENROUTER_API_KEY
Nous Portal nous hermes auth (OAuth)
OpenAI Codex openai-codex hermes model (ChatGPT OAuth)
GitHub Copilot copilot COPILOT_GITHUB_TOKEN, GH_TOKEN, or GITHUB_TOKEN
GitHub Copilot ACP copilot-acp External process (editor integration)
Anthropic anthropic ANTHROPIC_API_KEY or Claude Code credentials
z.ai / GLM zai GLM_API_KEY
Kimi / Moonshot kimi-coding KIMI_API_KEY
MiniMax minimax MINIMAX_API_KEY
MiniMax (China) minimax-cn MINIMAX_CN_API_KEY
DeepSeek deepseek DEEPSEEK_API_KEY
NVIDIA NIM nvidia NVIDIA_API_KEY (optional: NVIDIA_BASE_URL)
GMI Cloud gmi GMI_API_KEY (optional: GMI_BASE_URL)
StepFun stepfun STEPFUN_API_KEY (optional: STEPFUN_BASE_URL)
Ollama Cloud ollama-cloud OLLAMA_API_KEY
Google Gemini (OAuth) google-gemini-cli hermes model (Google OAuth; optional: HERMES_GEMINI_PROJECT_ID)
Google AI Studio gemini GOOGLE_API_KEY (alias: GEMINI_API_KEY)
xAI (Grok) xai (alias grok) XAI_API_KEY (optional: XAI_BASE_URL)
AWS Bedrock bedrock Standard boto3 auth (AWS_REGION + AWS_PROFILE or AWS_ACCESS_KEY_ID)
Qwen Portal (OAuth) qwen-oauth hermes model (Qwen Portal OAuth; optional: HERMES_QWEN_BASE_URL)
MiniMax (OAuth) minimax-oauth hermes model (MiniMax portal OAuth)
OpenCode Zen opencode-zen OPENCODE_ZEN_API_KEY
OpenCode Go opencode-go OPENCODE_GO_API_KEY
Kilo Code kilocode KILOCODE_API_KEY
Xiaomi MiMo xiaomi XIAOMI_API_KEY
Arcee AI arcee ARCEEAI_API_KEY
GMI Cloud gmi GMI_API_KEY
Alibaba / DashScope alibaba DASHSCOPE_API_KEY
Alibaba Coding Plan alibaba-coding-plan ALIBABA_CODING_PLAN_API_KEY (falls back to DASHSCOPE_API_KEY)
Kimi / Moonshot (China) kimi-coding-cn KIMI_CN_API_KEY
StepFun stepfun STEPFUN_API_KEY
Tencent TokenHub tencent-tokenhub TOKENHUB_API_KEY
Azure AI Foundry azure-foundry AZURE_FOUNDRY_API_KEY + AZURE_FOUNDRY_BASE_URL
LM Studio (local) lmstudio LM_API_KEY (or none for local) + LM_BASE_URL
Hugging Face huggingface HF_TOKEN
Custom endpoint custom base_url + key_env (see below)

Custom Endpoint Fallback

For a custom OpenAI-compatible endpoint, add base_url and optionally key_env:

fallback_model:
  provider: custom
  model: my-local-model
  base_url: http://localhost:8000/v1
  key_env: MY_LOCAL_KEY              # env var name containing the API key

When Fallback Triggers

The fallback activates automatically when the primary model fails with:

  • Rate limits (HTTP 429) — after exhausting retry attempts
  • Server errors (HTTP 500, 502, 503) — after exhausting retry attempts
  • Auth failures (HTTP 401, 403) — immediately (no point retrying)
  • Not found (HTTP 404) — immediately
  • Invalid responses — when the API returns malformed or empty responses repeatedly

When triggered, Hermes:

  1. Resolves credentials for the fallback provider
  2. Builds a new API client
  3. Swaps the model, provider, and client in-place
  4. Resets the retry counter and continues the conversation

The switch is seamless — your conversation history, tool calls, and context are preserved. The agent continues from exactly where it left off, just using a different model.

:::info Per-Turn, Not Per-Session Fallback is turn-scoped: each new user message starts with the primary model restored. If the primary fails mid-turn, fallback activates for that turn only. On the next message, Hermes tries the primary again. Within a single turn, fallback activates at most once — if the fallback also fails, normal error handling takes over (retries, then error message). This prevents cascading failover loops within a turn while giving the primary model a fresh chance every turn. :::

Examples

OpenRouter as fallback for Anthropic native:

model:
  provider: anthropic
  default: claude-sonnet-4-6

fallback_model:
  provider: openrouter
  model: anthropic/claude-sonnet-4

Nous Portal as fallback for OpenRouter:

model:
  provider: openrouter
  default: anthropic/claude-opus-4

fallback_model:
  provider: nous
  model: nous-hermes-3

Local model as fallback for cloud:

fallback_model:
  provider: custom
  model: llama-3.1-70b
  base_url: http://localhost:8000/v1
  key_env: LOCAL_API_KEY

Codex OAuth as fallback:

fallback_model:
  provider: openai-codex
  model: gpt-5.3-codex

Where Fallback Works

Context Fallback Supported
CLI sessions
Messaging gateway (Telegram, Discord, etc.)
Subagent delegation ✘ (subagents do not inherit fallback config)
Cron jobs ✘ (run with a fixed provider)
Auxiliary tasks (vision, compression) ✘ (use their own provider chain — see below)

:::tip There are no environment variables for fallback_model — it is configured exclusively through config.yaml. This is intentional: fallback configuration is a deliberate choice, not something a stale shell export should override. :::


Auxiliary Task Fallback

Hermes uses separate lightweight models for side tasks. Each task has its own provider resolution chain that acts as a built-in fallback system.

Tasks with Independent Provider Resolution

Task What It Does Config Key
Vision Image analysis, browser screenshots auxiliary.vision
Web Extract Web page summarization auxiliary.web_extract
Compression Context compression summaries auxiliary.compression
Session Search Past session summarization auxiliary.session_search
Skills Hub Skill search and discovery auxiliary.skills_hub
MCP MCP helper operations auxiliary.mcp
Approval Smart command-approval classification auxiliary.approval
Title Generation Session title summaries auxiliary.title_generation
Triage Specifier hermes kanban specify / dashboard button — fleshes out a one-liner triage task into a real spec auxiliary.triage_specifier

Auto-Detection Chain

When a task's provider is set to "auto" (the default), Hermes tries providers in order until one works:

For text tasks (compression, web extract, etc.):

OpenRouter → Nous Portal → Custom endpoint → Codex OAuth →
API-key providers (z.ai, Kimi, MiniMax, Xiaomi MiMo, Hugging Face, Anthropic) → give up

For vision tasks:

Main provider (if vision-capable) → OpenRouter → Nous Portal →
Codex OAuth → Anthropic → Custom endpoint → give up

If the resolved provider fails at call time, Hermes also has an internal retry: if the provider is not OpenRouter and no explicit base_url is set, it tries OpenRouter as a last-resort fallback.

Configuring Auxiliary Providers

Each task can be configured independently in config.yaml:

auxiliary:
  vision:
    provider: "auto"              # auto | openrouter | nous | codex | main | anthropic
    model: ""                     # e.g. "openai/gpt-4o"
    base_url: ""                  # direct endpoint (takes precedence over provider)
    api_key: ""                   # API key for base_url

  web_extract:
    provider: "auto"
    model: ""

  compression:
    provider: "auto"
    model: ""

  session_search:
    provider: "auto"
    model: ""
    timeout: 30
    max_concurrency: 3
    extra_body: {}

  skills_hub:
    provider: "auto"
    model: ""

  mcp:
    provider: "auto"
    model: ""

Every task above follows the same provider / model / base_url pattern. Context compression is configured under auxiliary.compression:

auxiliary:
  compression:
    provider: main                                    # Same provider options as other auxiliary tasks
    model: google/gemini-3-flash-preview
    base_url: null                                    # Custom OpenAI-compatible endpoint

And the fallback model uses:

fallback_model:
  provider: openrouter
  model: anthropic/claude-sonnet-4
  # base_url: http://localhost:8000/v1               # Optional custom endpoint

For auxiliary.session_search, Hermes also supports:

  • max_concurrency to limit how many session summaries run at once
  • extra_body to pass provider-specific OpenAI-compatible request fields through on the summarization calls

Example:

auxiliary:
  session_search:
    provider: main
    model: glm-4.5-air
    max_concurrency: 2
    extra_body:
      enable_thinking: false

If your provider does not support a native OpenAI-compatible reasoning-control field, extra_body will not help for that part; in that case max_concurrency is still useful for reducing request-burst 429s.

All three — auxiliary, compression, fallback — work the same way: set provider to pick who handles the request, model to pick which model, and base_url to point at a custom endpoint (overrides provider).

Provider Options for Auxiliary Tasks

These options apply to auxiliary:, compression:, and fallback_model: configs only — "main" is not a valid value for your top-level model.provider. For custom endpoints, use provider: custom in your model: section (see AI Providers).

Provider Description Requirements
"auto" Try providers in order until one works (default) At least one provider configured
"openrouter" Force OpenRouter OPENROUTER_API_KEY
"nous" Force Nous Portal hermes auth
"codex" Force Codex OAuth hermes model → Codex
"main" Use whatever provider the main agent uses (auxiliary tasks only) Active main provider configured
"anthropic" Force Anthropic native ANTHROPIC_API_KEY or Claude Code credentials

Direct Endpoint Override

For any auxiliary task, setting base_url bypasses provider resolution entirely and sends requests directly to that endpoint:

auxiliary:
  vision:
    base_url: "http://localhost:1234/v1"
    api_key: "local-key"
    model: "qwen2.5-vl"

base_url takes precedence over provider. Hermes uses the configured api_key for authentication, falling back to OPENAI_API_KEY if not set. It does not reuse OPENROUTER_API_KEY for custom endpoints.


Context Compression Fallback

Context compression uses the auxiliary.compression config block to control which model and provider handles summarization:

auxiliary:
  compression:
    provider: "auto"                              # auto | openrouter | nous | main
    model: "google/gemini-3-flash-preview"

:::info Legacy migration Older configs with compression.summary_model / compression.summary_provider / compression.summary_base_url are automatically migrated to auxiliary.compression.* on first load (config version 17). :::

If no provider is available for compression, Hermes drops middle conversation turns without generating a summary rather than failing the session.


Delegation Provider Override

Subagents spawned by delegate_task do not use the primary fallback model. However, they can be routed to a different provider:model pair for cost optimization:

delegation:
  provider: "openrouter"                      # override provider for all subagents
  model: "google/gemini-3-flash-preview"      # override model
  # base_url: "http://localhost:1234/v1"      # or use a direct endpoint
  # api_key: "local-key"

See Subagent Delegation for full configuration details.


Cron Job Providers

Cron jobs run with whatever provider is configured at execution time. They do not support a fallback model. To use a different provider for cron jobs, configure provider and model overrides on the cron job itself:

cronjob(
    action="create",
    schedule="every 2h",
    prompt="Check server status",
    provider="openrouter",
    model="google/gemini-3-flash-preview"
)

See Scheduled Tasks (Cron) for full configuration details.


Summary

Feature Fallback Mechanism Config Location
Main agent model fallback_model in config.yaml — per-turn failover on errors (primary restored each turn) fallback_model: (top-level)
Vision Auto-detection chain + internal OpenRouter retry auxiliary.vision
Web extraction Auto-detection chain + internal OpenRouter retry auxiliary.web_extract
Context compression Auto-detection chain, degrades to no-summary if unavailable auxiliary.compression
Session search Auto-detection chain auxiliary.session_search
Skills hub Auto-detection chain auxiliary.skills_hub
MCP helpers Auto-detection chain auxiliary.mcp
Approval classification Auto-detection chain auxiliary.approval
Title generation Auto-detection chain auxiliary.title_generation
Triage specifier Auto-detection chain auxiliary.triage_specifier
Delegation Provider override only (no automatic fallback) delegation.provider / delegation.model
Cron jobs Per-job provider override only (no automatic fallback) Per-job provider / model