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下载 Zip 下载中... name provider-routing-scaffold description Scaffold a provider abstraction layer for agent cognition with mock default, per-agent routing, secret-safe logging, failure hardening, and validation tests source auto-skill extracted_at 2026-05-30T05:22:10.682Z updated_at 2026-05-30T05:33:00.000Z
Provider Routing Scaffold
When building agent-based simulations that will eventually use real LLM providers (NVIDIA NIM, OpenAI, etc.), scaffold the provider layer early with mock mode as the default. This keeps the project runnable without API keys while preparing the architecture for real integration.
Procedure
1. Create the provider interface
backend/providers/
├── __init__.py
├── base.py # BaseProvider, MockProvider, NvidiaNimProvider, test providers
└── validation.py # ProviderOutputValidator, ProviderOutputQuarantine
base.py contains:
BaseProvider — abstract class with generate(prompt, agent, tick) -> str
MockProvider — returns valid JSON {"thought": ..., "action": ...}, no external calls, default for development
(or other real provider) — placeholder that reads key from env but does NOT make real calls until
NvidiaNimProvider
_real_mode = True
ProviderCallLog — structured call logger that records provider name, agent, tick, success, latency_ms — never logs API keys or auth headers
ProviderOutputQuarantine — quarantines invalid provider outputs to data/quarantine_provider_outputs.jsonlTest providers (Phase 1C):
FailingProvider — always raises RuntimeError, tests fallback behavior
MalformedProvider — returns invalid JSON, missing fields, empty, or null fields
BoundaryViolatingProvider — tries to force CANON_ANCHOR without source_anchor
2. Wire providers into agents with fallback Each agent gets a provider: BaseProvider field and a set_provider() method. The agent's decide() method uses _safe_generate():
def _safe_generate (self, prompt, world ):
try :
raw_response = self .provider.generate(prompt, self .name, self .tick)
except Exception as e:
logger.warning("Provider %s failed for %s tick %s: %s" , ...)
call_log.record(provider=..., agent=..., tick=..., success=False , error=...)
return self ._mock_think_action(world) + (None , "Provider failed — fallback." )
parsed = validator.validate_and_parse(raw_response, self .provider.name, self .name, self .tick)
if parsed["valid" ]:
return parsed["thought" ], parsed["action" ], parsed["label_suggestion" ], parsed["simulation_note" ]
logger.warning("Provider %s returned invalid output: %s" , ...)
return self ._mock_think_action(world) + (None , f"Invalid output — fallback. Reason: {parsed['repair_reason' ]} " )
Critical: Fallback actions must use generic language that avoids canon keywords (no "creature", "boundary", "command", "tree", "garden") to prevent accidental CANON_ANCHOR classification by the consequence engine.
3. Add output validation providers/validation.py — ProviderOutputValidator:
Parse JSON — quarantine if invalid
Check thought and action fields — quarantine if missing
Block CANON_ANCHOR without source_anchor — override to SIMULATION_EVENT + quarantine
4. Add config system backend/config.py — GenesisConfig dataclass with:
provider_mode: str — global mode ("mock", "nim-dry-run", "nim-live-disabled", "nim-live-adam-single"), default "mock"
adam_provider: str, eve_provider: str — per-agent provider selection
adam_nim_model: str, eve_nim_model: str — per-agent NIM model selection
get_api_key(agent) — reads from env var, returns empty string if not set, never logs the key
get_agent_config(agent) — returns AgentProviderConfig with provider, model, key_env
validate() — returns warnings (e.g., "NIM mode but key not set")
from_env() — loads from os.environ with defaults
5. Wire providers in setup function — include ALL NIM modes Critical: The _setup_providers() function must include ALL NIM modes in its condition, not just dry-run:
def _setup_providers () -> None :
adam_cfg = config.get_agent_config("Adam" )
if adam_cfg.provider in ("nim-dry-run" , "nim-live-disabled" , "nim-live-adam-single" ):
adam.set_provider(NvidiaNimProvider(
name="adam_nim" ,
api_key_env=config.nvidia_nim_key_adam_env,
model=config.adam_nim_model,
base_url=config.nvidia_nim_base_url,
mode=adam_cfg.provider,
))
else :
adam.set_provider(MockProvider(name="adam_mock" ))
If you add a new NIM mode and forget to add it to this condition, the agent will silently fall back to mock — the live call will never happen.
6. Environment and git protection .env.example — variable names only, no real values:
GENESIS_PROVIDER_MODE=mock
ADAM_PROVIDER=mock
EVE_PROVIDER=mock
NVIDIA_NIM_KEY_ADAM=
NVIDIA_NIM_KEY_EVE=
.env
.env.local
.env.production
*.key
*.pem
*.secret
secrets/
data/private/
7. Provider call logging Every generate() call logs:
Provider name
Agent name
Tick number
Success/failure
Latency (ms)
Never log: API keys, auth headers, raw request/response bodies.
8. Validation tests tests/test_provider_routing.py — Phase 1B:
Mock mode runs N ticks successfully
Adam and Eve each route through their configured provider (check call log)
No external API calls happen in mock mode
No secrets appear in logs
Event provenance validation still passes
tests/test_provider_failure.py — Phase 1C:
Failing provider does not crash tick loop
Malformed provider does not corrupt world state
Boundary-violating provider cannot create invalid CANON_ANCHOR
Fallback action is clearly labeled SIMULATION_EVENT
No secrets appear in provider logs
20 normal mock ticks still pass with empty quarantine
9. API endpoint Add /api/providers endpoint returning:
Current config (provider_mode, per-agent providers, is_real_mode)
Call log summary (total calls, successes, failures, by_provider)
Recent calls (last 10)
Key Rules
Mock is default — GENESIS_PROVIDER_MODE=mock always
No real calls in placeholder mode — NvidiaNimProvider._real_mode = False means it returns mock responses
Keys from env only — os.environ.get(), never hardcoded
Keys never logged — boolean checks only (if not key: warn())
Per-agent isolation — each agent has its own provider and its own key env var
Fallback actions avoid canon keywords — generic text prevents misclassification
Two-layer validation — provider output validated before simulation, events validated before log
Quarantine invalid outputs — both provider outputs and events go to quarantine files
Quarantine files exist — create empty files so tests can check known paths