Documentation Index
Fetch the complete documentation index at: https://docs-omnicoreagent.omnirexfloralabs.com/llms.txt
Use this file to discover all available pages before exploring further.
Production
Deploy OmniCoreAgent with confidence. Runtime usage metrics and guardrails.
Examples
| File | What You’ll Learn |
|---|
| metrics_observability.py | Track tokens, requests, response times, and usage for cost estimation |
| guardrails.py | Protect agents from prompt injection attacks |
📊 Metrics & Observability
Track everything your agent does:
from omnicoreagent import OmniCoreAgent
agent = OmniCoreAgent(
name="monitored_agent",
system_instruction="You are a helpful assistant.",
model_config={"provider": "openai", "model": "gpt-4o"},
agent_config={
"request_limit": 100,
"total_tokens_limit": 50000,
},
)
# After running queries...
metrics = await agent.get_metrics()
print(f"Total requests: {metrics['total_requests']}")
print(f"Total tokens: {metrics['total_tokens']}")
print(f"Request tokens: {metrics['total_request_tokens']}")
print(f"Response tokens: {metrics['total_response_tokens']}")
Available Metrics:
total_requests — Number of agent.run() calls
total_tokens — Total tokens used (input + output)
total_request_tokens — Tokens sent to LLM
total_response_tokens — Tokens received from LLM
🛡️ Guardrails
Protect against prompt injection attacks:
agent = OmniCoreAgent(
name="protected_agent",
system_instruction="You are a customer service agent.",
model_config={"provider": "openai", "model": "gpt-4o"},
agent_config={
"guardrail_config": {
"strict_mode": True, # Block suspicious inputs
},
},
)
Guardrails Detect:
- Prompt injection attempts
- Jailbreak attempts
- System prompt extraction attempts
- Role manipulation attacks
🔧 Usage Limits
Set limits to prevent runaway request or token usage:
agent_config={
"request_limit": 100, # Max requests per session
"total_tokens_limit": 50000, # Max tokens before stopping
"max_steps": 10, # Max reasoning loops
}
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