Observability

About

Agent Command Center logs every request and response, exports metrics to Prometheus and OpenTelemetry, and propagates trace IDs for distributed tracing. No additional setup needed for basic logging - it’s on by default.

Request logging

Every request through Agent Command Center is logged with:

• Request ID, trace ID, session ID
• Model requested and model actually used
• Provider that handled the request
• Input/output token counts
• Cost
• Latency
• Cache status (hit/miss/skip)
• Guardrail results
• Any errors or fallback events

Logs sync to the Future AGI dashboard automatically. View them in Agent Command Center > Logs.

Log levels

For self-hosted deployments, set the log level in config.yaml:

logging:
  level: info

Distributed tracing

Agent Command Center propagates trace IDs across the request lifecycle. Set x-agentcc-trace-id on incoming requests and the same ID appears in all downstream provider calls and logs.

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
    trace_id="trace-from-my-app-abc123",
    user_id="user-42",
)

print(response.agentcc.trace_id)    # trace-from-my-app-abc123
print(response.agentcc.provider)    # openai
print(response.agentcc.latency_ms)  # 342
print(response.agentcc.cost)        # 0.00015

raw = client.chat.completions.with_raw_response.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
    extra_headers={
        "x-agentcc-trace-id": "trace-from-my-app-abc123",
        "x-agentcc-user-id": "user-42",
    },
)
print(raw.headers.get("x-agentcc-trace-id"))
print(raw.headers.get("x-agentcc-cost"))

curl -i https://gateway.futureagi.com/v1/chat/completions \
  -H "Authorization: Bearer sk-agentcc-your-key" \
  -H "x-agentcc-trace-id: trace-from-my-app-abc123" \
  -H "x-agentcc-user-id: user-42" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}'
# Look for x-agentcc-trace-id in response headers

If you don’t set a trace ID, Agent Command Center generates one automatically. Use it for correlating gateway logs with your application logs.

OpenTelemetry integration

Self-hosted deployments can export traces to any OpenTelemetry-compatible backend:

telemetry:
  traces:
    enabled: true
    exporter: otlp
    endpoint: "http://otel-collector:4317"
    service_name: "agentcc-gateway"

Metrics

Agent Command Center exports Prometheus metrics on the /-/metrics endpoint.

Available metrics

Scrape configuration

# prometheus.yml
scrape_configs:
  - job_name: "agentcc-gateway"
    scrape_interval: 15s
    metrics_path: "/-/metrics"
    static_configs:
      - targets: ["agentcc-gateway:8080"]

Self-hosted metrics config

telemetry:
  metrics:
    enabled: true
    prometheus:
      enabled: true
      path: "/-/metrics"

Session tracking

Group related requests into sessions for conversation-level analytics. Set x-agentcc-session-id on each request in a conversation:

session_id = "user-123-conversation-456"
messages = []

# Each turn in the conversation shares the same session_id
messages.append({"role": "user", "content": "What's the capital of France?"})
response = client.chat.completions.create(
    model="gpt-4o",
    messages=messages,
    session_id=session_id,
    user_id="user-123",
)
messages.append({"role": "assistant", "content": response.choices[0].message.content})

messages.append({"role": "user", "content": "What's its population?"})
response = client.chat.completions.create(
    model="gpt-4o",
    messages=messages,
    session_id=session_id,
    user_id="user-123",
)

Sessions appear in the dashboard under Agent Command Center > Sessions and show:

• Total requests in the session
• Cumulative cost
• Models and providers used
• Timeline of requests

Alerting

Configure alerts to get notified about issues. See Cost tracking > Budget alerts for alert configuration.

Next Steps