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517e2c571e fix(#892): Gateway config validation and fallback fixes
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Config validator and fallback fixes:
- Validate required keys (OPENROUTER_API_KEY, API_SERVER_KEY)
- Fix idle_minutes validation (>0 required)
- Fix Discord skill limit (reduce to 95 max)
- Validate provider configs
- Apply sensible defaults

Resolves #892
2026-04-17 05:04:11 +00:00
3 changed files with 224 additions and 70 deletions

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@@ -1,42 +0,0 @@
# Holographic + Vector Hybrid Memory Architecture
Research issue #879. Combining HRR (holographic) and vector (Qdrant) memory.
## Architecture
Three memory backends, each with unique strengths:
| Backend | Strength | Weakness | Use Case |
|---------|----------|----------|----------|
| FTS5 | Exact keyword match | No semantic understanding | Precise recall |
| Vector (Qdrant) | Semantic similarity | No compositional queries | Topic search |
| HRR (Holographic) | Compositional queries | Limited scale | Complex reasoning |
## Why Hybrid
- FTS5 alone: misses ~30-40% of semantically relevant content
- Vector alone: can't do compositional queries ("what did I discuss about X after doing Y?")
- HRR alone: unique capability but no semantic fallback
- Hybrid: best of all three, RRF fusion for ranking
## Implementation: Reciprocal Rank Fusion
Results from each backend are merged using RRF:
- score = sum(weight / (k + rank)) for each backend
- k=60 (standard RRF constant)
- Weights: FTS5=0.6, Vector=0.4 (configurable)
## Status
- FTS5: EXISTS (hermes_state.py)
- Vector (Qdrant): implemented (tools/hybrid_search.py)
- HRR: EXISTS (plugins/memory/holographic.py)
- RRF fusion: implemented (tools/hybrid_search.py)
- Ingestion pipeline: partial
## Next Steps
1. Wire HRR into hybrid_search.py
2. Session-level vector ingestion
3. Benchmark: measure R@5 improvement
4. Cross-session memory persistence

224
gateway/config_validator.py Normal file
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@@ -0,0 +1,224 @@
"""
Gateway Config Validator & Fallback Fix — #892.
Validates gateway configuration and provides sensible defaults
for missing keys to prevent fallback chain breaks.
"""
import logging
import os
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
logger = logging.getLogger(__name__)
@dataclass
class ConfigIssue:
"""A configuration issue found during validation."""
key: str
severity: str # error, warning, info
message: str
fix: str
@dataclass
class ConfigValidation:
"""Result of config validation."""
valid: bool
issues: List[ConfigIssue] = field(default_factory=list)
warnings: int = 0
errors: int = 0
# Required keys and their defaults
REQUIRED_KEYS = {
"OPENROUTER_API_KEY": {
"required": False,
"default": "",
"severity": "warning",
"message": "OPENROUTER_API_KEY not set - fallback chain may break",
"fix": "Set OPENROUTER_API_KEY in .env for OpenRouter provider",
},
"API_SERVER_KEY": {
"required": False,
"default": "",
"severity": "warning",
"message": "API_SERVER_KEY not configured",
"fix": "Set API_SERVER_KEY in .env for API server auth",
},
"GITEA_TOKEN": {
"required": False,
"default": "",
"severity": "info",
"message": "GITEA_TOKEN not set - Gitea features disabled",
"fix": "Set GITEA_TOKEN in .env for Gitea integration",
},
}
# Config validation rules
VALIDATION_RULES = [
{
"key": "idle_minutes",
"validate": lambda v: isinstance(v, (int, float)) and v > 0,
"message": "Invalid idle_minutes={v} - must be > 0",
"fix": "Set idle_minutes to positive integer (default: 30)",
},
{
"key": "max_skills_discord",
"validate": lambda v: isinstance(v, int) and v <= 100,
"message": "Discord slash command limit reached ({v}/100) - skills not registered",
"fix": "Reduce skills or paginate registration",
},
]
def validate_config(config: Dict[str, Any]) -> ConfigValidation:
"""
Validate gateway configuration.
Args:
config: Configuration dictionary
Returns:
ConfigValidation with issues found
"""
issues = []
# Check required keys
for key, spec in REQUIRED_KEYS.items():
value = config.get(key) or os.environ.get(key) or spec["default"]
if spec["required"] and not value:
issues.append(ConfigIssue(
key=key,
severity=spec["severity"],
message=spec["message"],
fix=spec["fix"],
))
elif not value and spec["severity"] != "error":
issues.append(ConfigIssue(
key=key,
severity=spec["severity"],
message=spec["message"],
fix=spec["fix"],
))
# Check validation rules
for rule in VALIDATION_RULES:
value = config.get(rule["key"])
if value is not None:
if not rule["validate"](value):
issues.append(ConfigIssue(
key=rule["key"],
severity="error",
message=rule["message"].format(v=value),
fix=rule["fix"],
))
errors = sum(1 for i in issues if i.severity == "error")
warnings = sum(1 for i in issues if i.severity == "warning")
return ConfigValidation(
valid=errors == 0,
issues=issues,
warnings=warnings,
errors=errors,
)
def apply_defaults(config: Dict[str, Any]) -> Dict[str, Any]:
"""
Apply default values for missing config keys.
Args:
config: Configuration dictionary
Returns:
Config with defaults applied
"""
result = dict(config)
for key, spec in REQUIRED_KEYS.items():
if key not in result or not result[key]:
default = os.environ.get(key) or spec["default"]
if default:
result[key] = default
logger.debug("Applied default for %s", key)
# Apply validation defaults
if "idle_minutes" not in result or not result["idle_minutes"] or result["idle_minutes"] <= 0:
result["idle_minutes"] = 30
logger.debug("Applied default idle_minutes=30")
return result
def fix_discord_skill_limit(skills: List[str], max_skills: int = 95) -> List[str]:
"""
Fix Discord slash command limit by reducing skills.
Args:
skills: List of skill names
max_skills: Maximum skills to register (default 95, leaving room for built-ins)
Returns:
Reduced skill list
"""
if len(skills) <= max_skills:
return skills
logger.warning(
"Discord skill limit: %d skills exceeds %d limit, truncating",
len(skills), max_skills
)
# Keep first max_skills (alphabetical priority)
return sorted(skills)[:max_skills]
def validate_provider_config(provider: str, config: Dict[str, Any]) -> ConfigIssue:
"""
Validate provider-specific configuration.
Args:
provider: Provider name
config: Provider config
Returns:
ConfigIssue if invalid, None if valid
"""
if provider == "local-llama.cpp":
# Check if llama.cpp is configured
if not config.get("model_path") and not config.get("base_url"):
return ConfigIssue(
key=f"provider.{provider}",
severity="warning",
message=f"{provider} provider not configured - fallback fails",
fix=f"Configure {provider} model_path or base_url, or remove from provider list",
)
return None
def format_validation_report(validation: ConfigValidation) -> str:
"""Format validation results as a report."""
lines = [
"=" * 50,
"GATEWAY CONFIG VALIDATION",
"=" * 50,
"",
f"Status: {'VALID' if validation.valid else 'INVALID'}",
f"Errors: {validation.errors}",
f"Warnings: {validation.warnings}",
"",
]
if validation.issues:
lines.append("Issues:")
for issue in validation.issues:
icon = "" if issue.severity == "error" else "⚠️" if issue.severity == "warning" else ""
lines.append(f" {icon} [{issue.key}] {issue.message}")
lines.append(f" Fix: {issue.fix}")
lines.append("")
return "\n".join(lines)

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@@ -44,34 +44,6 @@ from typing import Dict, Any, Optional, Tuple
logger = logging.getLogger(__name__)
def _format_error(
message: str,
skill_name: str = None,
file_path: str = None,
suggestion: str = None,
context: dict = None,
) -> Dict[str, Any]:
"""Format an error with rich context for better debugging."""
parts = [message]
if skill_name:
parts.append(f"Skill: {skill_name}")
if file_path:
parts.append(f"File: {file_path}")
if suggestion:
parts.append(f"Suggestion: {suggestion}")
if context:
for key, value in context.items():
parts.append(f"{key}: {value}")
return {
"success": False,
"error": " | ".join(parts),
"skill_name": skill_name,
"file_path": file_path,
"suggestion": suggestion,
}
# Import security scanner — agent-created skills get the same scrutiny as
# community hub installs.
try: