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Documentation Index

Fetch the complete documentation index at: https://docs.raptordata.dev/llms.txt

Use this file to discover all available pages before exploring further.

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Know What Your AI Did

Every request through Raptor is logged with full metadata. Debugging, compliance, analytics—all covered.

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What’s Logged

FieldExample
request_idabc123-def456-...
timestamp2024-01-15T10:30:00Z
methodPOST
path/v1/chat/completions
status200
cache_hittrue / false
latency_ms5
upstream_latency_ms450
firewall_resultnull / blocked

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Dashboard

View all requests in your dashboard:
  1. Go to Traces in the sidebar
  2. Filter by date, status, cache hit, or agent
  3. Click a row for full request details

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Response Headers

Every response includes a request ID: 
X-Raptor-Request-Id: abc123-def456-...
Use this to look up the full evidence record in your dashboard.

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Agent Tracking

Tag requests by agent for multi-agent systems: 
client = OpenAI(
    base_url="https://proxy.raptordata.dev/v1",
    default_headers={
        "X-Raptor-Api-Key": "rpt_...",
        "X-Raptor-Workspace-Id": "...",
        "X-Raptor-Agent-Id": "support-bot"  # Add this
    }
)
Then filter by agent in your dashboard.

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Compliance

Raptor evidence logs support common compliance requirements:
RequirementHow Raptor Helps
Audit trailEvery request logged with timestamp and metadata
Data retentionConfigurable retention periods
Access controlWorkspace isolation, API key scoping
Request tracingUnique request IDs for debugging

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Retention

PlanRetention
Free7 days
Pro30 days
EnterpriseCustom

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Performance

Evidence logging is completely async. Logs are sent to a background worker via an in-memory channel. Your requests never wait for logging. 
Request → Response (immediate)
    └──→ Log channel → Background worker → Database
Zero impact on request latency. We buffer up to 10,000 log entries and batch-write to the database.