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Chapter 1
Authentication & API Keys Endpoint
Overview
How can a forensic AGI robotics workflow prove that a request came from the correct deployment without exposing its credential? This chapter defines the Keyring Handshake Model: environment-scoped API keys, signed request metadata, rotation, and audit correlation for development, staging, and production. Use it when a robotics service submits sensor evidence, task commands, or forensic trace data to an AGI API.
Quick Reference
| Operation | Method and endpoint | Authentication | |---|---|---| | Issue key | POST /v1/auth/keys | Admin bearer token | | Revoke key | DELETE /v1/auth/keys/{key_id} | Admin bearer token | | Submit workflow request | POST /v1/forensics/runs | X-API-Key plus X-Request-Id | | Validate environment | GET /v1/auth/introspect | X-API-Key |
The handshake binds each key to one environment and records the request identifier in the forensic audit stream.
Parameters
| Parameter | Type | Required | Description | |---|---|---:|---| | X-API-Key | string | Yes | Secret key for the target environment. Store it in a secret manager, not source control. | | X-Request-Id | string | Yes | Unique UUID used to correlate API logs, robot telemetry, and evidence records. | | environment | string | Yes for key issuance | One of development, staging, or production. | | name | string | Yes for key issuance | Human-readable key label, such as nadia-inspection-gateway. | | expires_in_days | integer | No | Key lifetime in days. Default: 90; maximum: 365. | | scopes | array[string] | Yes for key issuance | Allowed operations, such as forensics:runs:create or auth:introspect. | | Idempotency-Key | string | No | Prevents duplicate key-creation requests during retries. |
Code Example
`python import os import uuid import requests
The environment-specific secret is injected by the deployment platform. api_key = os.environ["FORENSIC_AGI_API_KEY"] request_id = str(uuid.uuid4())
response = requests.post( "https://api.example.com/v1/forensics/runs", headers={ "X-API-Key": api_key, "X-Request-Id": request_id, "Content-Type": "application/json", }, json={ "robot_id": "arm-07", "evidence_uri": "s3://robot-evidence/arm-07/run-1842", "operation": "collision-reconstruction", }, timeout=15, )
response.raise_for_status() run = response.json() print(run["run_id"], run["audit_id"]) `
Nadia’s staging gateway should use a staging key; production keys must never be copied into test configuration.
Response Format
json { "run_id": "run_1842", "status": "accepted", "environment": "staging", "audit_id": "audit_7f91c2", "request_id": "2c8d6f1e-1c6a-4a77-8c56-4d2f8d9bb4a1" }
• run_id: Identifier for the forensic AGI workflow. - status: Initial processing state. - environment: Environment associated with the authenticated key. - audit_id: Immutable audit-record identifier. - request_id: Client-supplied correlation value.
Notes & Best Practices
• Rotate keys before expiration; maintain one active replacement before revoking the previous key. - Return 401 for missing or invalid credentials and 403 for valid keys lacking the required scope. Do not disclose whether a key identifier exists. - Apply rate limits per key and environment. Handle 429 with bounded exponential backoff and preserve X-Request-Id. - Redact X-API-Key from logs, traces, crash reports, and robot telemetry. Store only a non-reversible key fingerprint in audit records.
The Keyring Handshake Model keeps credential identity, deployment environment, and forensic evidence correlation separate but verifiable.
End of chapter one. 6 more chapters in the full book.
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What's inside: 7 chapters
- 1. Authentication & API Keys Endpoint
- 2. Create Robot Session Endpoint
- 3. Upload Sensor Evidence Endpoint
- 4. Create Task Plan Endpoint
- 5. Run AGI Reasoning Endpoint
- 6. Webhook Events for Robot Actions
- 7. Error Codes & Forensic Replay Endpoint
About this book
"Forensic AGI For Robotics" is a technical book by Anonymous with 7 chapters and approximately 3,608 words. Applying forensic methods to design AGI solutions for robotics.
This book was created using Inkfluence AI, an AI-powered book generation platform that helps authors write, design, and publish complete books. It was made with the AI Documentation Generator.
Frequently Asked Questions
What is "Forensic AGI For Robotics" about?
Applying forensic methods to design AGI solutions for robotics
How many chapters are in "Forensic AGI For Robotics"?
The book contains 7 chapters and approximately 3,608 words. Topics covered include Authentication & API Keys Endpoint, Create Robot Session Endpoint, Upload Sensor Evidence Endpoint, Create Task Plan Endpoint, and more.
Who wrote "Forensic AGI For Robotics"?
This book was written by Anonymous and created using Inkfluence AI, an AI book generation platform that helps authors write, design, and publish books.
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