Merge pull request #740 from NousResearch/hermes/hermes-3cd7c62d

feat: simple fallback model for provider resilience (#737)
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Teknium 2026-03-08 21:16:58 -07:00 committed by GitHub
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6 changed files with 442 additions and 0 deletions

5
cli.py
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@ -1118,6 +1118,10 @@ class HermesCLI:
self._provider_require_params = pr.get("require_parameters", False)
self._provider_data_collection = pr.get("data_collection")
# Fallback model config — tried when primary provider fails after retries
fb = CLI_CONFIG.get("fallback_model") or {}
self._fallback_model = fb if fb.get("provider") and fb.get("model") else None
# Agent will be initialized on first use
self.agent: Optional[AIAgent] = None
self._app = None # prompt_toolkit Application (set in run())
@ -1349,6 +1353,7 @@ class HermesCLI:
session_db=self._session_db,
clarify_callback=self._clarify_callback,
honcho_session_key=self.session_id,
fallback_model=self._fallback_model,
)
# Apply any pending title now that the session exists in the DB
if self._pending_title and self._session_db:

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@ -194,6 +194,7 @@ class GatewayRunner:
self._ephemeral_system_prompt = self._load_ephemeral_system_prompt()
self._reasoning_config = self._load_reasoning_config()
self._provider_routing = self._load_provider_routing()
self._fallback_model = self._load_fallback_model()
# Wire process registry into session store for reset protection
from tools.process_registry import process_registry
@ -393,6 +394,26 @@ class GatewayRunner:
pass
return {}
@staticmethod
def _load_fallback_model() -> dict | None:
"""Load fallback model config from config.yaml.
Returns a dict with 'provider' and 'model' keys, or None if
not configured / both fields empty.
"""
try:
import yaml as _y
cfg_path = _hermes_home / "config.yaml"
if cfg_path.exists():
with open(cfg_path) as _f:
cfg = _y.safe_load(_f) or {}
fb = cfg.get("fallback_model", {}) or {}
if fb.get("provider") and fb.get("model"):
return fb
except Exception:
pass
return None
async def start(self) -> bool:
"""
Start the gateway and all configured platform adapters.
@ -2632,6 +2653,7 @@ class GatewayRunner:
platform=platform_key,
honcho_session_key=session_key,
session_db=self._session_db,
fallback_model=self._fallback_model,
)
# Store agent reference for interrupt support

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@ -103,6 +103,27 @@ DEFAULT_CONFIG = {
},
},
# Fallback model — used when the primary model/provider fails after retries.
# When the primary hits rate limits (429), overload (529), or service errors (503),
# Hermes will automatically switch to this model for the remainder of the session.
# Set to None / omit to disable fallback.
#
# Supported providers (auto-resolve base_url and API key from env):
# openrouter (OPENROUTER_API_KEY) — routes to any model
# zai (ZAI_API_KEY) — Z.AI / GLM
# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot
# minimax (MINIMAX_API_KEY) — MiniMax
# minimax-cn (MINIMAX_CN_API_KEY) — MiniMax (China)
#
# For any other OpenAI-compatible endpoint, use base_url + api_key_env.
"fallback_model": {
"provider": "", # provider name from the list above
"model": "", # model slug, e.g. "anthropic/claude-sonnet-4"
# Optional overrides (usually auto-resolved from provider):
# "base_url": "", # custom endpoint URL
# "api_key_env": "", # env var name for API key (e.g. "MY_CUSTOM_KEY")
},
"display": {
"compact": False,
"personality": "kawaii",

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@ -183,6 +183,7 @@ class AIAgent:
session_db=None,
honcho_session_key: str = None,
iteration_budget: "IterationBudget" = None,
fallback_model: Dict[str, Any] = None,
):
"""
Initialize the AI Agent.
@ -406,6 +407,17 @@ class AIAgent:
except Exception as e:
raise RuntimeError(f"Failed to initialize OpenAI client: {e}")
# Provider fallback — a single backup model/provider tried when the
# primary is exhausted (rate-limit, overload, connection failure).
# Config shape: {"provider": "openrouter", "model": "anthropic/claude-sonnet-4"}
self._fallback_model = fallback_model if isinstance(fallback_model, dict) else None
self._fallback_activated = False
if self._fallback_model:
fb_p = self._fallback_model.get("provider", "")
fb_m = self._fallback_model.get("model", "")
if fb_p and fb_m and not self.quiet_mode:
print(f"🔄 Fallback model: {fb_m} ({fb_p})")
# Get available tools with filtering
self.tools = get_tool_definitions(
enabled_toolsets=enabled_toolsets,
@ -2146,6 +2158,103 @@ class AIAgent:
raise result["error"]
return result["response"]
# ── Provider fallback ──────────────────────────────────────────────────
# Maps provider id → (default_base_url, [env_var_names])
# Only includes providers that Hermes actually supports.
# For anything else, use base_url + api_key_env in the config.
_FALLBACK_PROVIDERS = {
"openrouter": (OPENROUTER_BASE_URL, ["OPENROUTER_API_KEY"]),
"zai": ("https://api.z.ai/api/paas/v4", ["ZAI_API_KEY", "Z_AI_API_KEY"]),
"kimi-coding": ("https://api.moonshot.ai/v1", ["KIMI_API_KEY"]),
"minimax": ("https://api.minimax.io/v1", ["MINIMAX_API_KEY"]),
"minimax-cn": ("https://api.minimaxi.com/v1", ["MINIMAX_CN_API_KEY"]),
}
def _try_activate_fallback(self) -> bool:
"""Switch to the configured fallback model/provider.
Called when the primary model is failing after retries. Swaps the
OpenAI client, model slug, and provider in-place so the retry loop
can continue with the new backend. One-shot: returns False if
already activated or not configured.
"""
if self._fallback_activated or not self._fallback_model:
return False
fb = self._fallback_model
fb_provider = (fb.get("provider") or "").strip().lower()
fb_model = (fb.get("model") or "").strip()
if not fb_provider or not fb_model:
return False
# Resolve API key
fb_key = (fb.get("api_key") or "").strip()
if not fb_key:
key_env = (fb.get("api_key_env") or "").strip()
if key_env:
fb_key = os.getenv(key_env, "")
elif fb_provider in self._FALLBACK_PROVIDERS:
for env_var in self._FALLBACK_PROVIDERS[fb_provider][1]:
fb_key = os.getenv(env_var, "")
if fb_key:
break
if not fb_key:
logging.warning(
"Fallback model configured but no API key found for provider '%s'",
fb_provider,
)
return False
# Resolve base URL
fb_base_url = (fb.get("base_url") or "").strip()
if not fb_base_url and fb_provider in self._FALLBACK_PROVIDERS:
fb_base_url = self._FALLBACK_PROVIDERS[fb_provider][0]
if not fb_base_url:
fb_base_url = OPENROUTER_BASE_URL
# Build new client
try:
client_kwargs = {"api_key": fb_key, "base_url": fb_base_url}
if "openrouter" in fb_base_url.lower():
client_kwargs["default_headers"] = {
"HTTP-Referer": "https://github.com/NousResearch/hermes-agent",
"X-OpenRouter-Title": "Hermes Agent",
"X-OpenRouter-Categories": "productivity,cli-agent",
}
elif "api.kimi.com" in fb_base_url.lower():
client_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
self.client = OpenAI(**client_kwargs)
self._client_kwargs = client_kwargs
old_model = self.model
self.model = fb_model
self.provider = fb_provider
self.base_url = fb_base_url
self.api_mode = "chat_completions"
self._fallback_activated = True
# Re-evaluate prompt caching for the new provider/model
self._use_prompt_caching = (
"openrouter" in fb_base_url.lower()
and "claude" in fb_model.lower()
)
print(
f"{self.log_prefix}🔄 Primary model failed — switching to fallback: "
f"{fb_model} via {fb_provider}"
)
logging.info(
"Fallback activated: %s%s (%s)",
old_model, fb_model, fb_provider,
)
return True
except Exception as e:
logging.error("Failed to activate fallback model: %s", e)
return False
# ── End provider fallback ──────────────────────────────────────────────
def _build_api_kwargs(self, api_messages: list) -> dict:
"""Build the keyword arguments dict for the active API mode."""
if self.api_mode == "codex_responses":
@ -3252,6 +3361,10 @@ class AIAgent:
print(f"{self.log_prefix} ⏱️ Response time: {api_duration:.2f}s (fast response often indicates rate limiting)")
if retry_count >= max_retries:
# Try fallback before giving up
if self._try_activate_fallback():
retry_count = 0
continue
print(f"{self.log_prefix}❌ Max retries ({max_retries}) exceeded for invalid responses. Giving up.")
logging.error(f"{self.log_prefix}Invalid API response after {max_retries} retries.")
self._persist_session(messages, conversation_history)
@ -3576,6 +3689,11 @@ class AIAgent:
])) and not is_context_length_error
if is_client_error:
# Try fallback before aborting — a different provider
# may not have the same issue (rate limit, auth, etc.)
if self._try_activate_fallback():
retry_count = 0
continue
self._dump_api_request_debug(
api_kwargs, reason="non_retryable_client_error", error=api_error,
)
@ -3593,6 +3711,10 @@ class AIAgent:
}
if retry_count >= max_retries:
# Try fallback before giving up entirely
if self._try_activate_fallback():
retry_count = 0
continue
print(f"{self.log_prefix}❌ Max retries ({max_retries}) exceeded. Giving up.")
logging.error(f"{self.log_prefix}API call failed after {max_retries} retries. Last error: {api_error}")
logging.error(f"{self.log_prefix}Request details - Messages: {len(api_messages)}, Approx tokens: {approx_tokens:,}")

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@ -149,6 +149,7 @@ def test_gateway_run_agent_codex_path_handles_internal_401_refresh(monkeypatch):
runner._prefill_messages = []
runner._reasoning_config = None
runner._provider_routing = {}
runner._fallback_model = None
runner._running_agents = {}
from unittest.mock import MagicMock, AsyncMock
runner.hooks = MagicMock()

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@ -0,0 +1,271 @@
"""Tests for the provider fallback model feature.
Verifies that AIAgent can switch to a configured fallback model/provider
when the primary fails after retries.
"""
import os
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import pytest
from run_agent import AIAgent
def _make_tool_defs(*names: str) -> list:
return [
{
"type": "function",
"function": {
"name": n,
"description": f"{n} tool",
"parameters": {"type": "object", "properties": {}},
},
}
for n in names
]
def _make_agent(fallback_model=None):
"""Create a minimal AIAgent with optional fallback config."""
with (
patch("run_agent.get_tool_definitions", return_value=_make_tool_defs("web_search")),
patch("run_agent.check_toolset_requirements", return_value={}),
patch("run_agent.OpenAI"),
):
agent = AIAgent(
api_key="test-key-primary",
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
fallback_model=fallback_model,
)
agent.client = MagicMock()
return agent
# =============================================================================
# _try_activate_fallback()
# =============================================================================
class TestTryActivateFallback:
def test_returns_false_when_not_configured(self):
agent = _make_agent(fallback_model=None)
assert agent._try_activate_fallback() is False
assert agent._fallback_activated is False
def test_returns_false_for_empty_config(self):
agent = _make_agent(fallback_model={"provider": "", "model": ""})
assert agent._try_activate_fallback() is False
def test_returns_false_for_missing_provider(self):
agent = _make_agent(fallback_model={"model": "gpt-4.1"})
assert agent._try_activate_fallback() is False
def test_returns_false_for_missing_model(self):
agent = _make_agent(fallback_model={"provider": "openrouter"})
assert agent._try_activate_fallback() is False
def test_activates_openrouter_fallback(self):
agent = _make_agent(
fallback_model={"provider": "openrouter", "model": "anthropic/claude-sonnet-4"},
)
with (
patch.dict("os.environ", {"OPENROUTER_API_KEY": "sk-or-fallback-key"}),
patch("run_agent.OpenAI") as mock_openai,
):
result = agent._try_activate_fallback()
assert result is True
assert agent._fallback_activated is True
assert agent.model == "anthropic/claude-sonnet-4"
assert agent.provider == "openrouter"
assert agent.api_mode == "chat_completions"
mock_openai.assert_called_once()
call_kwargs = mock_openai.call_args[1]
assert call_kwargs["api_key"] == "sk-or-fallback-key"
assert "openrouter" in call_kwargs["base_url"].lower()
# OpenRouter should get attribution headers
assert "default_headers" in call_kwargs
def test_activates_zai_fallback(self):
agent = _make_agent(
fallback_model={"provider": "zai", "model": "glm-5"},
)
with (
patch.dict("os.environ", {"ZAI_API_KEY": "sk-zai-key"}),
patch("run_agent.OpenAI") as mock_openai,
):
result = agent._try_activate_fallback()
assert result is True
assert agent.model == "glm-5"
assert agent.provider == "zai"
call_kwargs = mock_openai.call_args[1]
assert call_kwargs["api_key"] == "sk-zai-key"
assert "z.ai" in call_kwargs["base_url"].lower()
def test_activates_kimi_fallback(self):
agent = _make_agent(
fallback_model={"provider": "kimi-coding", "model": "kimi-k2.5"},
)
with (
patch.dict("os.environ", {"KIMI_API_KEY": "sk-kimi-key"}),
patch("run_agent.OpenAI"),
):
assert agent._try_activate_fallback() is True
assert agent.model == "kimi-k2.5"
assert agent.provider == "kimi-coding"
def test_activates_minimax_fallback(self):
agent = _make_agent(
fallback_model={"provider": "minimax", "model": "MiniMax-M2.5"},
)
with (
patch.dict("os.environ", {"MINIMAX_API_KEY": "sk-mm-key"}),
patch("run_agent.OpenAI") as mock_openai,
):
assert agent._try_activate_fallback() is True
assert agent.model == "MiniMax-M2.5"
assert agent.provider == "minimax"
call_kwargs = mock_openai.call_args[1]
assert "minimax.io" in call_kwargs["base_url"]
def test_only_fires_once(self):
agent = _make_agent(
fallback_model={"provider": "openrouter", "model": "anthropic/claude-sonnet-4"},
)
with (
patch.dict("os.environ", {"OPENROUTER_API_KEY": "sk-or-key"}),
patch("run_agent.OpenAI"),
):
assert agent._try_activate_fallback() is True
# Second attempt should return False
assert agent._try_activate_fallback() is False
def test_returns_false_when_no_api_key(self):
"""Fallback should fail gracefully when the API key env var is unset."""
agent = _make_agent(
fallback_model={"provider": "minimax", "model": "MiniMax-M2.5"},
)
# Ensure MINIMAX_API_KEY is not in the environment
env = {k: v for k, v in os.environ.items() if k != "MINIMAX_API_KEY"}
with patch.dict("os.environ", env, clear=True):
assert agent._try_activate_fallback() is False
assert agent._fallback_activated is False
def test_custom_base_url(self):
"""Custom base_url in config should override the provider default."""
agent = _make_agent(
fallback_model={
"provider": "custom",
"model": "my-model",
"base_url": "http://localhost:8080/v1",
"api_key_env": "MY_CUSTOM_KEY",
},
)
with (
patch.dict("os.environ", {"MY_CUSTOM_KEY": "custom-secret"}),
patch("run_agent.OpenAI") as mock_openai,
):
assert agent._try_activate_fallback() is True
call_kwargs = mock_openai.call_args[1]
assert call_kwargs["base_url"] == "http://localhost:8080/v1"
assert call_kwargs["api_key"] == "custom-secret"
def test_prompt_caching_enabled_for_claude_on_openrouter(self):
agent = _make_agent(
fallback_model={"provider": "openrouter", "model": "anthropic/claude-sonnet-4"},
)
with (
patch.dict("os.environ", {"OPENROUTER_API_KEY": "sk-or-key"}),
patch("run_agent.OpenAI"),
):
agent._try_activate_fallback()
assert agent._use_prompt_caching is True
def test_prompt_caching_disabled_for_non_claude(self):
agent = _make_agent(
fallback_model={"provider": "openrouter", "model": "google/gemini-2.5-flash"},
)
with (
patch.dict("os.environ", {"OPENROUTER_API_KEY": "sk-or-key"}),
patch("run_agent.OpenAI"),
):
agent._try_activate_fallback()
assert agent._use_prompt_caching is False
def test_prompt_caching_disabled_for_non_openrouter(self):
agent = _make_agent(
fallback_model={"provider": "zai", "model": "glm-5"},
)
with (
patch.dict("os.environ", {"ZAI_API_KEY": "sk-zai-key"}),
patch("run_agent.OpenAI"),
):
agent._try_activate_fallback()
assert agent._use_prompt_caching is False
def test_zai_alt_env_var(self):
"""Z.AI should also check Z_AI_API_KEY as fallback env var."""
agent = _make_agent(
fallback_model={"provider": "zai", "model": "glm-5"},
)
with (
patch.dict("os.environ", {"Z_AI_API_KEY": "sk-alt-key"}),
patch("run_agent.OpenAI") as mock_openai,
):
assert agent._try_activate_fallback() is True
call_kwargs = mock_openai.call_args[1]
assert call_kwargs["api_key"] == "sk-alt-key"
# =============================================================================
# Fallback config init
# =============================================================================
class TestFallbackInit:
def test_fallback_stored_when_configured(self):
agent = _make_agent(
fallback_model={"provider": "openrouter", "model": "anthropic/claude-sonnet-4"},
)
assert agent._fallback_model is not None
assert agent._fallback_model["provider"] == "openrouter"
assert agent._fallback_activated is False
def test_fallback_none_when_not_configured(self):
agent = _make_agent(fallback_model=None)
assert agent._fallback_model is None
assert agent._fallback_activated is False
def test_fallback_none_for_non_dict(self):
agent = _make_agent(fallback_model="not-a-dict")
assert agent._fallback_model is None
# =============================================================================
# Provider credential resolution
# =============================================================================
class TestProviderCredentials:
"""Verify that each supported provider resolves its API key correctly."""
@pytest.mark.parametrize("provider,env_var,base_url_fragment", [
("openrouter", "OPENROUTER_API_KEY", "openrouter"),
("zai", "ZAI_API_KEY", "z.ai"),
("kimi-coding", "KIMI_API_KEY", "moonshot.ai"),
("minimax", "MINIMAX_API_KEY", "minimax.io"),
("minimax-cn", "MINIMAX_CN_API_KEY", "minimaxi.com"),
])
def test_provider_resolves(self, provider, env_var, base_url_fragment):
agent = _make_agent(
fallback_model={"provider": provider, "model": "test-model"},
)
with (
patch.dict("os.environ", {env_var: "test-key-123"}),
patch("run_agent.OpenAI") as mock_openai,
):
result = agent._try_activate_fallback()
assert result is True, f"Failed to activate fallback for {provider}"
call_kwargs = mock_openai.call_args[1]
assert call_kwargs["api_key"] == "test-key-123"
assert base_url_fragment in call_kwargs["base_url"].lower()