docs: add PHPDoc to AgentDetection patterns #59

Merged
Snider merged 1 commit from docs/agent-detection-phpdoc into main 2026-02-23 12:04:18 +00:00
2 changed files with 181 additions and 49 deletions

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@ -17,106 +17,221 @@ use Illuminate\Http\Request;
* - Absence of typical browser indicators
*
* Part of the Trees for Agents system for rewarding AI agent referrals.
*
* Detection priority (highest to lowest):
* 1. MCP token header (X-MCP-Token) registered agents with explicit identity
* 2. User-Agent provider patterns matches known AI client strings
* 3. Non-agent bot patterns rules out search crawlers and monitoring tools
* 4. Browser indicators rules out real browser traffic
* 5. Unknown agent fallback programmatic access with no identifying UA
*
* Usage:
* ```php
* $detection = app(AgentDetection::class);
*
* // From a full HTTP request (checks MCP token first, then User-Agent)
* $identity = $detection->identify($request);
*
* // From a User-Agent string directly
* $identity = $detection->identifyFromUserAgent('claude-code/1.0 anthropic-api');
*
* // Quick boolean check
* if ($detection->isAgent($request)) {
* // credit the referral tree
* }
*
* // Inspect the result
* echo $identity->provider; // e.g. "anthropic"
* echo $identity->model; // e.g. "claude-sonnet" or null
* echo $identity->confidence; // e.g. "high"
* echo $identity->isAgent(); // true / false
* ```
*/
class AgentDetection
{
/**
* User-Agent patterns for known AI providers.
*
* @var array<string, array{pattern: string, model_pattern: ?string}>
* Each entry maps a provider key to an array of detection patterns and optional
* model-specific sub-patterns. Patterns are tested in order; the first match wins.
*
* Provider patterns (case-insensitive):
*
* - anthropic:
* Examples: "claude-code/1.0", "Anthropic-API/2.0 claude-sonnet",
* "Claude AI Assistant/1.0", "claude code (agentic)"
*
* - openai:
* Examples: "ChatGPT-User/1.0", "OpenAI/1.0 python-httpx/0.26",
* "GPT-4-turbo/2024-04", "o1-preview/2024-09", "o1-mini/1.0"
*
* - google:
* Examples: "Google-AI/1.0", "Gemini/1.5-pro", "Google Bard/0.1",
* "PaLM API/1.0 google-generativeai/0.3"
*
* - meta:
* Examples: "Meta AI/1.0", "LLaMA/2.0 meta-ai", "Llama-3/2024-04",
* "Llama-2-chat/70B"
*
* - mistral:
* Examples: "Mistral/0.1.0 mistralai-python/0.1", "Mixtral-8x7B/1.0",
* "MistralAI-Large/latest"
*
* Model patterns narrow the detection to a specific model variant within a provider
* when the User-Agent includes version/model information.
*
* @var array<string, array{patterns: string[], model_patterns: array<string, string>}>
*/
protected const PROVIDER_PATTERNS = [
'anthropic' => [
'patterns' => [
'/claude[\s\-_]?code/i',
'/\banthopic\b/i',
'/\banthropic[\s\-_]?api\b/i',
'/\bclaude\b.*\bai\b/i',
'/\bclaude\b.*\bassistant\b/i',
'/claude[\s\-_]?code/i', // e.g. "claude-code/1.0", "claude code"
'/\banthopic\b/i', // e.g. "Anthropic/1.0" (intentional typo tolerance)
'/\banthropic[\s\-_]?api\b/i', // e.g. "Anthropic-API/2.0"
'/\bclaude\b.*\bai\b/i', // e.g. "Claude AI Assistant/1.0"
'/\bclaude\b.*\bassistant\b/i', // e.g. "Claude-Assistant/2.1"
],
'model_patterns' => [
'claude-opus' => '/claude[\s\-_]?opus/i',
'claude-sonnet' => '/claude[\s\-_]?sonnet/i',
'claude-haiku' => '/claude[\s\-_]?haiku/i',
'claude-opus' => '/claude[\s\-_]?opus/i', // e.g. "claude-opus-4-5"
'claude-sonnet' => '/claude[\s\-_]?sonnet/i', // e.g. "claude-sonnet-4-6"
'claude-haiku' => '/claude[\s\-_]?haiku/i', // e.g. "claude-haiku-4-5"
],
],
'openai' => [
'patterns' => [
'/\bChatGPT\b/i',
'/\bOpenAI\b/i',
'/\bGPT[\s\-_]?4\b/i',
'/\bGPT[\s\-_]?3\.?5\b/i',
'/\bo1[\s\-_]?preview\b/i',
'/\bo1[\s\-_]?mini\b/i',
'/\bChatGPT\b/i', // e.g. "ChatGPT-User/1.0"
'/\bOpenAI\b/i', // e.g. "OpenAI/1.0 python-httpx/0.26"
'/\bGPT[\s\-_]?4\b/i', // e.g. "GPT-4-turbo/2024-04"
'/\bGPT[\s\-_]?3\.?5\b/i', // e.g. "GPT-3.5-turbo/1.0"
'/\bo1[\s\-_]?preview\b/i', // e.g. "o1-preview/2024-09"
'/\bo1[\s\-_]?mini\b/i', // e.g. "o1-mini/1.0"
],
'model_patterns' => [
'gpt-4' => '/\bGPT[\s\-_]?4/i',
'gpt-3.5' => '/\bGPT[\s\-_]?3\.?5/i',
'o1' => '/\bo1[\s\-_]?(preview|mini)?\b/i',
'gpt-4' => '/\bGPT[\s\-_]?4/i', // e.g. "GPT-4o", "GPT-4-turbo"
'gpt-3.5' => '/\bGPT[\s\-_]?3\.?5/i', // e.g. "GPT-3.5-turbo"
'o1' => '/\bo1[\s\-_]?(preview|mini)?\b/i', // e.g. "o1", "o1-preview", "o1-mini"
],
],
'google' => [
'patterns' => [
'/\bGoogle[\s\-_]?AI\b/i',
'/\bGemini\b/i',
'/\bBard\b/i',
'/\bPaLM\b/i',
'/\bGoogle[\s\-_]?AI\b/i', // e.g. "Google-AI/1.0"
'/\bGemini\b/i', // e.g. "Gemini/1.5-pro", "gemini-flash"
'/\bBard\b/i', // e.g. "Google Bard/0.1" (legacy)
'/\bPaLM\b/i', // e.g. "PaLM API/1.0" (legacy)
],
'model_patterns' => [
'gemini-pro' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?pro/i',
'gemini-ultra' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?ultra/i',
'gemini-flash' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?flash/i',
'gemini-pro' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?pro/i', // e.g. "gemini-1.5-pro"
'gemini-ultra' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?ultra/i', // e.g. "gemini-ultra"
'gemini-flash' => '/gemini[\s\-_]?(1\.5[\s\-_]?)?flash/i', // e.g. "gemini-1.5-flash"
],
],
'meta' => [
'patterns' => [
'/\bMeta[\s\-_]?AI\b/i',
'/\bLLaMA\b/i',
'/\bLlama[\s\-_]?[23]\b/i',
'/\bMeta[\s\-_]?AI\b/i', // e.g. "Meta AI/1.0"
'/\bLLaMA\b/i', // e.g. "LLaMA/2.0 meta-ai"
'/\bLlama[\s\-_]?[23]\b/i', // e.g. "Llama-3/2024-04", "Llama-2-chat"
],
'model_patterns' => [
'llama-3' => '/llama[\s\-_]?3/i',
'llama-2' => '/llama[\s\-_]?2/i',
'llama-3' => '/llama[\s\-_]?3/i', // e.g. "Llama-3-8B", "llama3-70b"
'llama-2' => '/llama[\s\-_]?2/i', // e.g. "Llama-2-chat/70B"
],
],
'mistral' => [
'patterns' => [
'/\bMistral\b/i',
'/\bMixtral\b/i',
'/\bMistral\b/i', // e.g. "Mistral/0.1.0 mistralai-python/0.1"
'/\bMixtral\b/i', // e.g. "Mixtral-8x7B/1.0"
],
'model_patterns' => [
'mistral-large' => '/mistral[\s\-_]?large/i',
'mistral-medium' => '/mistral[\s\-_]?medium/i',
'mixtral' => '/mixtral/i',
'mistral-large' => '/mistral[\s\-_]?large/i', // e.g. "mistral-large-latest"
'mistral-medium' => '/mistral[\s\-_]?medium/i', // e.g. "mistral-medium"
'mixtral' => '/mixtral/i', // e.g. "Mixtral-8x7B-Instruct"
],
],
];
/**
* Patterns that indicate a typical web browser.
* If none of these are present, it might be programmatic access.
*
* If none of these tokens appear in a User-Agent string, the request is likely
* programmatic (a script, CLI tool, or potential agent). The patterns cover all
* major browser families and legacy rendering engine identifiers.
*
* Examples of matching User-Agents:
* - "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/120.0"
* - "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_2) ... Safari/537.36"
* - "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/115.0"
* - "Mozilla/5.0 ... Edg/120.0" Microsoft Edge (Chromium)
* - "Opera/9.80 ... OPR/106.0" Opera
* - "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1)" Internet Explorer
* - "Mozilla/5.0 ... Trident/7.0; rv:11.0" IE 11 (Trident engine)
*/
protected const BROWSER_INDICATORS = [
'/\bMozilla\b/i',
'/\bChrome\b/i',
'/\bSafari\b/i',
'/\bFirefox\b/i',
'/\bEdge\b/i',
'/\bOpera\b/i',
'/\bMSIE\b/i',
'/\bTrident\b/i',
'/\bMozilla\b/i', // All Gecko/WebKit/Blink browsers include "Mozilla/5.0"
'/\bChrome\b/i', // Chrome, Chromium, and most Chromium-based browsers
'/\bSafari\b/i', // Safari and WebKit-based browsers
'/\bFirefox\b/i', // Mozilla Firefox
'/\bEdge\b/i', // Microsoft Edge (legacy "Edge/" and Chromium "Edg/")
'/\bOpera\b/i', // Opera ("Opera/" classic, "OPR/" modern)
'/\bMSIE\b/i', // Internet Explorer (e.g. "MSIE 11.0")
'/\bTrident\b/i', // IE 11 Trident rendering engine token
];
/**
* Known bot patterns that are NOT AI agents.
* These should return notAnAgent, not unknown.
*
* These should resolve to `AgentIdentity::notAnAgent()` rather than
* `AgentIdentity::unknownAgent()`, because we can positively identify them
* as a specific non-AI automated client (crawler, monitoring, HTTP library, etc.).
*
* Categories and example User-Agents:
*
* Search engine crawlers:
* - "Googlebot/2.1 (+http://www.google.com/bot.html)"
* - "Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)"
* - "Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)"
* - "DuckDuckBot/1.0; (+http://duckduckgo.com/duckduckbot.html)"
* - "Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)"
* - "Applebot/0.1 (+http://www.apple.com/go/applebot)"
*
* Social media / link-preview bots:
* - "facebookexternalhit/1.1 (+http://www.facebook.com/externalhit_uatext.php)"
* - "Twitterbot/1.0"
* - "LinkedInBot/1.0 (compatible; Mozilla/5.0; Apache-HttpClient/4.5)"
* - "Slackbot-LinkExpanding 1.0 (+https://api.slack.com/robots)"
* - "DiscordBot (https://discordapp.com) 1.0"
* - "TelegramBot (like TwitterBot)"
* - "WhatsApp/2.23.20 A"
*
* SEO / analytics crawlers:
* - "Mozilla/5.0 (compatible; SemrushBot/7~bl; +http://www.semrush.com/bot.html)"
* - "Mozilla/5.0 (compatible; AhrefsBot/7.0; +http://ahrefs.com/robot/)"
*
* Generic HTTP clients (scripts, developer tools):
* - "curl/7.88.1"
* - "Wget/1.21.4"
* - "python-requests/2.31.0"
* - "Go-http-client/2.0"
* - "PostmanRuntime/7.35.0"
* - "insomnia/2023.5.8"
* - "axios/1.6.0"
* - "node-fetch/2.6.11"
*
* Uptime / monitoring services:
* - "UptimeRobot/2.0 (+http://www.uptimerobot.com/)"
* - "Pingdom.com_bot_version_1.4 (http://www.pingdom.com/)"
* - "Datadog Agent/7.45.0"
* - "NewRelicPinger/v1 AccountId=12345"
*/
protected const NON_AGENT_BOTS = [
// Search engine crawlers
'/\bGooglebot\b/i',
'/\bBingbot\b/i',
'/\bYandexBot\b/i',
'/\bDuckDuckBot\b/i',
'/\bBaiduspider\b/i',
'/\bApplebot\b/i',
// Social media / link-preview bots
'/\bfacebookexternalhit\b/i',
'/\bTwitterbot\b/i',
'/\bLinkedInBot\b/i',
@ -124,9 +239,12 @@ class AgentDetection
'/\bDiscordBot\b/i',
'/\bTelegramBot\b/i',
'/\bWhatsApp\//i',
'/\bApplebot\b/i',
// SEO / analytics crawlers
'/\bSEMrushBot\b/i',
'/\bAhrefsBot\b/i',
// Generic HTTP clients
'/\bcurl\b/i',
'/\bwget\b/i',
'/\bpython-requests\b/i',
@ -135,6 +253,8 @@ class AgentDetection
'/\bInsomnia\b/i',
'/\baxios\b/i',
'/\bnode-fetch\b/i',
// Uptime / monitoring services
'/\bUptimeRobot\b/i',
'/\bPingdom\b/i',
'/\bDatadog\b/i',
@ -142,7 +262,19 @@ class AgentDetection
];
/**
* The MCP token header name.
* The MCP token header used to identify registered AI agents.
*
* Agents send this header to bypass User-Agent heuristics and declare their
* identity explicitly. Two token formats are supported:
*
* - Opaque AgentApiKey token (prefix "ak_"):
* Looked up in the database. Grants highest confidence when the key is active.
* Example: `X-MCP-Token: ak_a1b2c3d4e5f6...`
*
* - Structured provider:model:secret token:
* Encodes provider and model directly in the token value.
* Example: `X-MCP-Token: anthropic:claude-sonnet:mysecret`
* Example: `X-MCP-Token: openai:gpt-4:xyz789`
*/
protected const MCP_TOKEN_HEADER = 'X-MCP-Token';

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@ -169,10 +169,10 @@ Production-quality task list for the AI agent orchestration package.
### Documentation Gaps
- [ ] **DOC-001: Add PHPDoc to AgentDetection patterns**
- [x] **DOC-001: Add PHPDoc to AgentDetection patterns** (FIXED 2026-02-23)
- Location: `Services/AgentDetection.php`
- Issue: User-Agent patterns undocumented
- Fix: Document each pattern with agent examples
- Fix: Added PHPDoc with real UA examples to all pattern constants, class-level usage examples, and MCP_TOKEN_HEADER docs
- [ ] **DOC-002: Document MCP tool dependency system**
- Location: `Mcp/Tools/Agent/` directory