Module: PWN::AI::Agent::Loop
- Defined in:
- lib/pwn/ai/agent/loop.rb
Overview
The agent conversation loop:
build system prompt → call LLM with tools → if tool_calls: dispatch,
append role:'tool' results, loop → else: return text.
This replaces the regex-ReAct in PWN::Plugins::REPL :pwn_ai_hook with native function-calling. State (memory, skills, sessions) is all externalised — Loop.run is stateless aside from the messages array it builds.
NEGATIVE-FEEDBACK CLOSURE
Loop.run is where "learn from mistakes, don't repeat them" is actually enforced. On EVERY failed dispatch it:
1. Records the (tool, normalised_error) fingerprint into
PWN::AI::Agent::Mistakes with a PERSISTENT cross-session count.
2. Reads that count back and, if it OR the in-turn count reaches
REPEAT_THRESHOLD, prepends a hard "REPEATED FAILURE — change
approach" guard to the tool result the model sees next.
3. Appends Mistakes.correction_hint (seen N×, sig, KNOWN FIX: …)
so a previously-discovered fix is handed straight back to the
model on the FIRST recurrence in a new session — it does not
have to fail 3× again to re-learn what it already knew.
PromptBuilder.mistakes_block re-injects the top open mistakes and top known fixes into the system prompt of every future turn.
COMPLETION
The original request is the completion signal. TaskSummarizer and Policy are advisory (compass / rank). Loop keeps calling CORE_TOOLS until that request is done or truly blocked, then stops.
LOCAL-MODEL SCAFFOLDING
When the active engine is :ollama (or the corresponding :agent flags are set) Loop.run additionally:
* threads request → PromptBuilder for relevance-ranked MEMORY,
* threads request → Registry.definitions(relevance:) for a slimmed
tool set (:tool_router),
* splices Learning.exemplars_for(request:) between system and user
as few-shot behaviour retrieval,
* runs a plan-then-act pre-pass (:plan_first) so the model
externalises a tool plan before its first dispatch,
* escalates to a frontier persona for a 3-line corrective hint
once ≥ ESCALATE_AFTER_FAILS in-turn failures accumulate
(:escalation_persona) — the local model still produces the final
answer so Learning/Metrics stay attributed to :ollama.
Constant Summary collapse
- DEFAULT_MAX_ITERS =
777- ESCALATE_AFTER_FAILS =
4- BOUNCE_FAIL_KEYS =
%w[ unsatisfied incomplete_final empty_final evidence_final ].freeze
- ENGINE_MODS =
{ openai: 'PWN::AI::OpenAI', grok: 'PWN::AI::Grok', ollama: 'PWN::AI::Ollama', openwebui: 'PWN::AI::OpenWebUI', anthropic: 'PWN::AI::Anthropic', gemini: 'PWN::AI::Gemini' }.freeze
- HOT_WINDOW_SECS =
P17 — true when RECENT unresolved agent_loop / assistant_answer budget fingerprints dominate Mistakes.top. Sliding window + auto-cool so the loop's own exhaust-path Mistakes.record cannot permanently latch hot (scar 8ec3303ed69e self-latch). Do NOT deepen caps; cool the detector.
48 * 3600
- HOT_COOL_MAX_RECENT =
<=1 budget hit in window => cooled (not hot)
1- PARK_COOL_SECS =
P17 rate-based cool/park for permanent budget scars (8ec3303ed69e). Leaves scar open but parks it so it stops dominating Mistakes.top. Resolve is rate-based only (external / after multi-day cool) — never because a guard patch landed. PARK_COOL_SECS (24h) is intentionally shorter than HOT_WINDOW (48h): once hot?=false, a single cooled scar must not keep owning Mistakes.top for another full day.
24 * 3600
- PRIVILEGED_TOOLSETS =
%w[cron swarm].freeze
- SNAPSHOT_STALE_SECS =
6 * 3600
- INCOMPLETE_FINAL_RX =
P28 — incomplete / handoff finals: model emitted text-only before the goal was done ("shall I proceed?", "next step:", "want me to…"). Loop.run treats no-tool_calls as FINAL; this detector lets us refuse that handoff and keep the tool loop alive for multi-step autonomy.
Local/thinking models (gemma/Qwen abliterated etc.) often emit a monologue that NARRATES the next tool ("Wait, let's try hping3…") without producing native tool_calls or shell(...). Treat that as incomplete too so the loop re-pressures tools instead of FINAL.
/ \b(shall\s+i|should\s+i|may\s+i|can\s+i|want\s+me\s+to|do\s+you\s+want\s+me| next\s+single\s+step|next\s+step\s*:|awaiting\s+your\s+(ok|approval|go-ahead|confirmation)| if\s+you(?:'d|\s+would)\s+like\s+me\s+to|say\s+the\s+word|confirm\s+(before|and\s+i)| ready\s+to\s+proceed|ok\s+to\s+(proceed|continue|apply)|proceed\?| continue\?|before\s+i\s+(apply|change|run|continue|proceed)| once\s+you\s+(confirm|approve)|let\s+me\s+know\s+if| i(?:'ll|\s+will)\s+wait\b|waiting\s+for\s+(your\s+)?(go|ok|approval|confirmation) )\b /ix- MONOLOGUE_TOOL_INTENT_RX =
Narrated-intent monologue without a structured tool call. Distinct from INCOMPLETE_FINAL_RX (polite handoff to the human).
/ \b( wait[,\s]+let'?s\s+try| let'?s\s+try\s+(one|to|again|hping|nmap|ping|sudo|shell|running|checking)| i\s+(?:will|'ll)\s+(?:just\s+)?(?:try|run|check|probe|scan|use)\b| actually,?\s+i\s+will\b| one\s+more\s+thing\b| if\s+it\s+fails\b.{0,80}\bthen\s+we\s+can\b| verification\s+complete\b| report\s+that\s+(?:the\s+)?verification\s+failed\b ) /ix- ACT_REQUEST_RX =
/ \b(write|create|implement|fix|patch|replace|refactor|overwrite| add (?:a |the )?|update|install|delete|remove|rename| regenerate|rebuild|document) \b /ix- FORCED_WRAP_RX =
/ forced\s+to\s+a\s+final|were\s+not\s+written|not\s+written\s+to\s+disk| resume\s+from\s+the\s+table|remaining\s+block| were\s+not\s+applied|not\s+applied\s+in\s+this\s+turn| (?:do\s+that\s+)?next\s+time /ix- LOOKUP_REQUEST_RX =
/ \b(what\s+is\s+my|hostname|uname|cwd|whoami|status|version|how\s+many)\b /ix- SKILLS_CATALOG_RX =
/ \bskills?\b.{0,40}\b(available|installed|loaded|catalog|list)\b | \b(what|which|list)\b.{0,40}\bskills?\b /ix- HOST_PATH_RX =
Real filesystem paths only — not https://host.tld (that was matching //host.tld).
%r{(?:(?<![.:/])/(?!/)|\./)[\w./-]+\.\w+}- BROWSER_REQUEST_RX =
/ TransparentBrowser|browser_obj|\bdevtools\b| \b(navigate|dump_links|headless_?chrome|watir)\b /ix- HOWTO_RX =
Request intent for routing (how-to vs act/recon vs pure recall/greeting). Local models thrash when pure explanation/recall/greeting asks are force-planned into multi-step host probes or multi-tool session archaeology. :howto → answer with explanation only (no plan_first / no live recon). :recall → prior-turn / vague memory cue; cheap path only. :greeting → short hello / light smalltalk; deterministic ack, no tools. :recon_act → live discovery (same tool loop as :act; no auth gate). :act → general agent work with tools.
/ \b( how\s+to|how\s+do\s+i|how\s+can\s+i|how\s+would\s+i|how\s+does\s+one| what\s+is\s+the\s+(?:syntax|command|usage|flag|option)| explain\s+how|show\s+me\s+how|examples?\s+of\s+using| manual\s+for|usage\s+of|syntax\s+for|man\s+page )\b /ix- RECALL_RX =
Pure prior-turn recall — must never enter plan_first / multi-tool loops. Covers both "what did I just say?" (user) and "how did you respond?" / "what did you just say?" (assistant) so last-turn injection is used.
/ \A\s*( what\s+did\s+i\s+(just\s+)?say\??| what\s+did\s+i\s+(just\s+)?(?:ask|type|write|request)\??| what\s+was\s+my\s+last\s+(?:request|message|question|prompt|turn)\??| what\s+was\s+(?:the\s+)?(?:previous|prior|last)\s+(?:thing\s+i\s+said|request|message|turn)\??| remind\s+me\s+what\s+i\s+(?:just\s+)?(?:said|asked)\??| repeat\s+(?:my\s+)?(?:last|previous)\s+(?:request|message)\??| say\s+that\s+again\??| recollection\s+test\??| memory\s+recall\s+test\??| how\s+did\s+you\s+respond(?:\s+to\s+what\s+i\s+(?:just\s+)?(?:said|asked))?\??| how\s+did\s+you\s+(?:just\s+)?(?:answer|reply)(?:\s+to\s+(?:me|that|my\s+last))?\??| what\s+(?:was|is)\s+your\s+(?:last|previous|prior)\s+(?:answer|response|reply)\??| what\s+did\s+you\s+(?:just\s+)?(?:say|answer|reply|respond)\??| remind\s+me\s+what\s+you\s+(?:just\s+)?(?:said|answered|replied)\??| repeat\s+your\s+(?:last|previous)\s+(?:answer|response|reply)\?? )\s*\z /ix- VAGUE_MEMORY_RX =
Broader "use your memory / prior context" cues. Still cheap: inject last turn + at most one memory_recall; never multi-step plans.
/ \b( what\s+did\s+i\s+(just\s+)?(?:say|ask|type|request)| what\s+was\s+my\s+last| how\s+did\s+you\s+respond| what\s+did\s+you\s+(?:just\s+)?(?:say|answer|reply|respond)| what\s+(?:was|is)\s+your\s+(?:last|previous|prior)\s+(?:answer|response|reply)| (?:without\s+looking\s+up).{0,40}(?:session|discussing|talking)| (?:from\s+)?(?:memory|context|earlier|previously|prior\s+turn)| (?:do\s+you\s+)?remember\s+what\s+(?:i|you)| recall\s+(?:what|my|your|the\s+last)| last\s+thing\s+(?:i|you)\s+said )\b /ix- LAST_SESSION_RX =
/\b(?:in|from|of)\s+(?:the\s+)?(?:last|previous|prior)\s+session\b|\blast\s+session\b/i- GREETING_RX =
Pure greeting / light smalltalk — never full :act tool loop. Anchored short forms only so "hi, please scan X" stays :act/:recon_act. Do NOT echo weather or invent social filler; answer_greeting is fixed.
/ \A\s*( (?:hi|hello|howdy|hey|yo|sup|hiya|greetings)(?:\s*[.!?]*)? (?:\s*,?\s*(?:there|all|folks|team|everyone|y'?all))? | good\s+(?:morning|afternoon|evening|day|night)(?:\s*[.!?]*)? | (?:hi|hello|howdy|hey)(?:\s*[.!?*,]*)?\s+ (?:it'?s|its|it\s+is)\s+ (?:cloudy|sunny|rainy|raining|foggy|windy|stormy|nice|cold|hot|warm| beautiful|gloomy|overcast|clear|chilly|humid|snow(?:ing|y)?) (?:\s+out(?:\s+there)?)?(?:\s*[.!?]*)? | (?:hi|hello|howdy|hey)(?:\s*[.!?*,]*)?\s+ (?:the\s+weather\s+is\s+\w+|what'?s\s+up|how\s+are\s+you| how'?s\s+it\s+going|how\s+goes\s+it) (?:\s*[.!?]*)? )\s*\z /ix- LIVE_RECON_RX =
/ \b( (?:find|discover|enumerate|scan|sweep|probe|map)\s+ (?:live\s+)?(?:hosts?|ips?|targets?|subnet|network|range)| live\s+hosts?\s+(?:can\s+you\s+)?find| what\s+live\s+hosts| ping\s+sweep\s+(?:of\s+)?(?:this|the|my)\s+ |(?:run|do|perform)\s+(?:a\s+)?(?:ping\s+)?sweep |scan\s+(?:this|the|my)\s+(?:subnet|network|lan|range) )\b /ix
Class Method Summary collapse
-
.authors ⇒ Object
- Author(s)
0day Inc.
-
.catalog_lookup?(opts = {}) ⇒ Boolean
True only when the ask needs a live host/file/browser effect.
- .debug_on?(opts = {}) ⇒ Boolean
-
.help ⇒ Object
Display Usage for this Module.
- .needs_host_work?(opts = {}) ⇒ Boolean
-
.ollama_wire_messages(opts = {}) ⇒ Object
- Supported Method Parameters
wire = PWN::AI::Agent::Loop.ollama_wire_messages( messages: 'required - in-memory OpenAI-ish messages (may have String args)' ).
-
.openai_wire_messages(opts = {}) ⇒ Object
- Supported Method Parameters
wire = PWN::AI::Agent::Loop.openai_wire_messages( messages: 'required - in-memory OpenAI-ish messages (may have Hash args / internal keys)' ).
- .request_intent(opts = {}) ⇒ Object
-
.run(opts = {}) ⇒ Object
- Supported Method Parameters
final = PWN::AI::Agent::Loop.run( request: 'required - what the human typed', session_id: 'optional - PWN::Sessions id (transcript is appended to it)', enabled_toolsets: 'optional - subset of Registry.toolsets, or nil for all', on_tool: 'optional - ->(name, args, result) callback for live UI', system_role_content: 'optional - override default system prompt (built from session_id if not provided)' ).
- .world_knowledge?(opts = {}) ⇒ Boolean
Class Method Details
.authors ⇒ Object
- Author(s)
0day Inc. support@0dayinc.com
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# File 'lib/pwn/ai/agent/loop.rb', line 2633 public_class_method def self. "AUTHOR(S):\n 0day Inc. <support@0dayinc.com>\n" end |
.catalog_lookup?(opts = {}) ⇒ Boolean
True only when the ask needs a live host/file/browser effect. World-knowledge questions ("what color is a cherry") do not.
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# File 'lib/pwn/ai/agent/loop.rb', line 476 public_class_method def self.catalog_lookup?(opts = {}) request = opts[:request].to_s.strip return false if request.empty? return false if request.length > 120 return false if request.match?(ACT_REQUEST_RX) return false if request.match?(HOWTO_RX) request.match?(SKILLS_CATALOG_RX) rescue StandardError false end |
.debug_on?(opts = {}) ⇒ Boolean
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# File 'lib/pwn/ai/agent/loop.rb', line 65 public_class_method def self.debug_on?(opts = {}) return true if opts[:debug] return true if defined?(PWN::Plugins::Log) && PWN::Plugins::Log.debug_enabled? pry_on = defined?(Pry) && Pry.respond_to?(:config) && Pry.config.respond_to?(:pwn_ai_debug) && Pry.config.pwn_ai_debug return true if pry_on false end |
.help ⇒ Object
Display Usage for this Module
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# File 'lib/pwn/ai/agent/loop.rb', line 2639 public_class_method def self.help puts <<~USAGE USAGE: final = PWN::AI::Agent::Loop.run( request: 'what does `id` return on this host?', session_id: PWN::Sessions.create[:id], enabled_toolsets: %w[terminal pwn memory skills], on_tool: ->(name, args, result) { puts "→ \#{name}: \#{result[0,1_024]}" }, system_role_content: 'You are a helpful assistant that can call tools to answer questions.' ) # Live task summaries (default ON): BEFORE each tool *collection*, # on_tool('task', high_level_brief, '') — one-to-many with real tools. # Task lines never carry a result payload (no result row in the TUI). # so repl.rb prints name=task with arg_preview=summary. Also coalesce bursts into # via on_tool only: [ ts → pwn-ai → task ] <brief> (no [pwn-ai/task] prefix) # Toggle via PWN::Env[:ai][:agent]: # task_summary: true|false # task_summary_every: 5 # emit every N tools # task_summary_interval_s: 8.0 # or every N seconds # task_summary_verbose: false Supported engines: #{ENGINE_MODS.keys.join(', ')} Set PWN::Env[:ai][:active] to choose. Intent routing (all engines; critical for ollama/openwebui): how-to / usage questions → text-only explanation (no tools, no plan_first) pure prior-turn recall ("what did I just say?") → answer_recall (no tools) pure greeting / light smalltalk → answer_greeting (no tools, no weather echo) live sweeps are host-work goals like any other — pwn-ai does not decide authorization Local-model scaffolding (PWN::Env[:ai][:agent]): :plan_first - Boolean, plan-then-act pre-pass (default: local engine :ollama/:openwebui) :tool_router - Boolean/nil, slim Registry.definitions (nil=auto on for ollama) :escalation_persona - Swarm persona name for frontier corrective hints when stuck :critic - S3 constitutional critic before every final (Boolean) :red_team_plan - S4 adversarial plan review after plan_first (Boolean) :counterfactual - S2 A/B branch on REPEAT_THRESHOLD → DPO pair (Boolean) :hindsight - C3 HER-relabel failures (Boolean, default true) :policy - R5 live tabular Q / REINFORCE (Boolean, default true; advisory only) :verify_as_reward - E3 ground every final via extro_verify (Boolean) P28 autonomy: incomplete-final detector refuses mid-goal handoffs. Loop.run keeps CORE_TOOLS until may_finalize? — there is no iteration-budget abort. #{self}.authors USAGE end |
.needs_host_work?(opts = {}) ⇒ Boolean
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# File 'lib/pwn/ai/agent/loop.rb', line 505 public_class_method def self.needs_host_work?(opts = {}) request = opts[:request].to_s return false if request.strip.empty? return false if world_knowledge?(request: request) return false if catalog_lookup?(request: request) true rescue StandardError false end |
.ollama_wire_messages(opts = {}) ⇒ Object
- Supported Method Parameters
wire = PWN::AI::Agent::Loop.ollama_wire_messages( messages: 'required - in-memory OpenAI-ish messages (may have String args)' )
Returns a deep-copied array safe for Ollama / Open WebUI ollama/api/chat:
- parses JSON-string function.arguments into Hash/Array objects
- coerces nil assistant content to '' when tool_calls present (Open WebUI GenerateChatCompletionForm rejects content:null alone)
- drops _native_content / _text_tool_coerced / thinking private keys
- stringifies Hash/Array message content (tool results) to JSON text
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# File 'lib/pwn/ai/agent/loop.rb', line 1074 public_class_method def self.(opts = {}) = opts[:messages] Array().filter_map do |m| next unless m.is_a?(Hash) role = (m[:role] || m['role']).to_s out = { role: role } tcs = m[:tool_calls] || m['tool_calls'] wired_tcs = nil if tcs wired_tcs = Array(tcs).filter_map { |tc| ollama_wire_tool_call(tool_call: tc) } out[:tool_calls] = wired_tcs unless wired_tcs.empty? end if m.key?(:content) || m.key?('content') content = m.key?(:content) ? m[:content] : m['content'] out[:content] = case content when nil # Open WebUI: null content without tool_calls 400s; # with tool_calls prefer "" over null. wired_tcs && !wired_tcs.empty? ? '' : nil when String then content when Hash, Array then JSON.generate(content) else content.to_s end elsif wired_tcs && !wired_tcs.empty? out[:content] = '' end name = m[:name] || m['name'] out[:name] = name.to_s if name && !name.to_s.empty? tcid = m[:tool_call_id] || m['tool_call_id'] out[:tool_call_id] = tcid.to_s if tcid && !tcid.to_s.empty? out end end |
.openai_wire_messages(opts = {}) ⇒ Object
- Supported Method Parameters
wire = PWN::AI::Agent::Loop.openai_wire_messages( messages: 'required - in-memory OpenAI-ish messages (may have Hash args / internal keys)' )
Returns a deep-copied array safe for OpenAI / xAI chat.completions:
- drops _native_content / _text_tool_coerced / thinking private keys
- stringifies function.arguments maps
- coerces Hash/non-string content to JSON/string (nil kept for assistant tool turns)
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# File 'lib/pwn/ai/agent/loop.rb', line 1158 public_class_method def self.(opts = {}) = opts[:messages] Array().filter_map do |m| next unless m.is_a?(Hash) role = (m[:role] || m['role']).to_s out = { role: role } if m.key?(:content) || m.key?('content') content = m.key?(:content) ? m[:content] : m['content'] out[:content] = case content when nil then nil when String then content when Hash, Array then JSON.generate(content) else content.to_s end end name = m[:name] || m['name'] out[:name] = name.to_s if name && !name.to_s.empty? tcid = m[:tool_call_id] || m['tool_call_id'] out[:tool_call_id] = tcid.to_s if tcid && !tcid.to_s.empty? tcs = m[:tool_calls] || m['tool_calls'] if tcs wired = Array(tcs).filter_map { |tc| openai_wire_tool_call(tool_call: tc) } out[:tool_calls] = wired unless wired.empty? end out end end |
.request_intent(opts = {}) ⇒ Object
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# File 'lib/pwn/ai/agent/loop.rb', line 1624 public_class_method def self.request_intent(opts = {}) req = opts[:request].to_s return :empty if req.strip.empty? # Pure greeting / weather smalltalk before how-to/recon/act. # Deterministic short-circuit — never freeform model weather echo. return :greeting if req.match?(GREETING_RX) # Pure prior-turn recall before how-to/recon (short, decisive). return :recall if req.match?(RECALL_RX) # Vague memory cues that are still "about the prior turn" and not # general work ("remember what we decided about nmap and implement it" # stays :act because it pairs memory with a doing verb outside the cue). if req.match?(VAGUE_MEMORY_RX) && !req.match?(HOWTO_RX) && !req.match?(LIVE_RECON_RX) doing = req.match?( /\b(implement|fix|patch|refactor|run|execute|scan|write|edit| change|deploy|install|build|compile|commit|push)\b/ix ) return :recall unless doing end if req.match?(LAST_SESSION_RX) && !req.match?(HOWTO_RX) && !req.match?(LIVE_RECON_RX) doing = req.match?( /\b(implement|fix|patch|refactor|run|execute|scan|write|edit| change|deploy|install|build|compile|commit|push)\b/ix ) return :recall unless doing end # Live-action recon takes precedence over bare "how to" when both appear # only if the user clearly asks the agent to do the sweep here. live = req.match?(LIVE_RECON_RX) && req.match?( /\b(can\s+you|could\s+you|please|go\s+ahead|now|on\s+this\s+host| this\s+subnet|this\s+network|find\s+(?:for\s+me|me)|discover)\b/ix ) return :recon_act if live || (req.match?(LIVE_RECON_RX) && !req.match?(HOWTO_RX)) return :howto if req.match?(HOWTO_RX) # Interrogative documentation without "how to" if req.match?(/\b(what\s+(?:flags?|options?|switches?)|usage|syntax)\b/i) && !req.match?(/\b(run|execute|scan|find|discover)\b/i) return :howto end :act rescue StandardError :act end |
.run(opts = {}) ⇒ Object
- Supported Method Parameters
final = PWN::AI::Agent::Loop.run( request: 'required - what the human typed', session_id: 'optional - PWN::Sessions id (transcript is appended to it)', enabled_toolsets: 'optional - subset of Registry.toolsets, or nil for all', on_tool: 'optional - ->(name, args, result) callback for live UI', system_role_content: 'optional - override default system prompt (built from session_id if not provided)' )
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# File 'lib/pwn/ai/agent/loop.rb', line 2219 public_class_method def self.run(opts = {}) request = opts[:request].to_s session_id = opts[:session_id] on_tool = opts[:on_tool] i = 0 tools_called = 0 engine_s = 0.0 final_chars = 0 start_debug_session(opts) loud_debug_tui!(debug: opts[:debug]) debug_progress(msg: "Loop.run start request=#{request[0, 240]}", debug: opts[:debug]) nested = defined?(TurnFinalizer) && TurnFinalizer.user_path? TurnFinalizer.enter_user_path! if defined?(TurnFinalizer) engine = active_engine local = local_engine?(engine: engine) # Cheap intent/kind FIRST - before PromptBuilder / Registry / TaskSummarizer # so greetings, FYIs, how-tos, recall, and simple Qs never pay the fat path. intent = request_intent(request: request) if defined?(OpenGoal) && OpenGoal.resume?(request: request) prior = OpenGoal.current if prior && !prior[:request].to_s.strip.empty? request = prior[:request].to_s opts[:request] = request intent = request_intent(request: request) end elsif !nested && defined?(OpenGoal) && needs_host_work?(request: request) && !%i[greeting howto recall].include?(intent) OpenGoal.begin!(request: request, session_id: session_id) end Thread.current[:pwn_request_intent] = intent Thread.current[:pwn_extinguished] = {} debug_progress(msg: "intent=#{intent} engine=#{engine}", debug: opts[:debug]) expose_current_session(session_id: session_id) Mistakes.check_user_correction(request: request, session_id: session_id) if defined?(Mistakes) cheap = opts[:force_tools] != true && %i[greeting howto recall].include?(intent) if intent == :greeting && opts[:force_tools] != true debug_progress(msg: 'path=greeting', debug: opts[:debug]) quiet_debug_tui!(debug: opts[:debug], reason: 'greeting') txt = answer_greeting( request: request, session_id: session_id ) final_chars = txt.to_s.length debug_final_text!(text: txt, debug: opts[:debug]) return txt end # Thin system prompt only for remaining cheap paths (howto/recall). if cheap system_role_content = opts[:system_role_content] if system_role_content.nil? || system_role_content.to_s.empty? system_role_content = PWN::AI::Agent::PromptBuilder.build( session_id: session_id, request: request, thin: true ) opts[:system_role_content] = system_role_content end if intent == :howto debug_progress(msg: 'path=howto', debug: opts[:debug]) quiet_debug_tui!(debug: opts[:debug], reason: 'howto') txt = answer_howto( request: request, session_id: session_id, system_role_content: system_role_content ) final_chars = txt.to_s.length debug_final_text!(text: txt, debug: opts[:debug]) return txt end if intent == :recall debug_progress(msg: 'path=recall', debug: opts[:debug]) quiet_debug_tui!(debug: opts[:debug], reason: 'recall') txt = answer_recall( request: request, session_id: session_id, system_role_content: system_role_content ) final_chars = txt.to_s.length debug_final_text!(text: txt, debug: opts[:debug]) return txt end end # --- act / recon / autonomous_goal: full context + tools --- # Reuse precomputed kind so TaskSummarizer.fresh does not classify twice. ts_state = (TaskSummarizer.fresh(request: request) if defined?(TaskSummarizer) && TaskSummarizer.enabled? && Thread.current[:pwn_reflect_depth].to_i.zero?) system_role_content = opts[:system_role_content] ||= PWN::AI::Agent::PromptBuilder.build( session_id: session_id, request: request ) Registry.discover maybe_refresh_extro_snapshot! opts[:enabled_toolsets] = default_interactive_toolsets(request: request) unless opts.key?(:enabled_toolsets) # R5 — open the live MDP episode BEFORE the first Registry.rank so # Q(s,a) can advise this turn. Planning still owns the task list. if defined?(PWN::AI::Agent::Policy) && Policy.respond_to?(:begin_episode) Policy.begin_episode( session_id: session_id, request: request, intent: intent, engine: engine, ts_state: ts_state ) end # Initial tool pool from the user request (bootstrap only). After # TaskSummarizer.emit_plan! we re-rank using English tangible tasks # so generated tasks — not the bare request — drive which tools # the model may call. # CORE_TOOLS is the default action space. Extra schemas are # opt-in via enabled_toolsets + core_only: false. core_only = opts.fetch(:core_only, true) tools = Registry.definitions( enabled: opts[:enabled_toolsets], relevance: request, core_only: core_only, intent: intent ) no_tools = Array(tools).empty? Thread.current[:pwn_loop_no_tools] = no_tools = [{ role: 'system', content: system_role_content }] .concat(Learning.exemplars_for(request: request)) if local && defined?(Learning) && Learning.respond_to?(:exemplars_for) .concat( session_chat_history(session_id: session_id, skip_request: request) ) << { role: 'user', content: request } append_session(session_id: session_id, role: 'user', content: request) trivia = world_knowledge?(request: request) catalog = catalog_lookup?(request: request) browse = request_need(request: request) == :browse skip_compass = trivia || catalog || no_tools || browse # Trivia / catalog / browse do not get an implement-shaped # English compass. Inventing "apply code/host changes" there # keeps the model on a Navigate task after the page already loaded. task_summary_plan!(state: ts_state, request: request, on_tool: on_tool) if defined?(TaskSummarizer) && !skip_compass # Re-bind tools from English plan so task list is the sole driver of # tool exposure/ranking (Registry keyword router + CORE). if ts_state.is_a?(Hash) && defined?(TaskSummarizer) && TaskSummarizer.respond_to?(:relevance_query) rq = TaskSummarizer.relevance_query(state: ts_state, request: request) unless rq.to_s.strip.empty? tools = Registry.definitions( enabled: opts[:enabled_toolsets], relevance: rq, core_only: core_only, intent: intent ) end end # English-task-as-primary: inject tangible tasks only for host work. inject_task_focus!(messages: , state: ts_state, force: true, request: request) unless skip_compass predicted = nil Thread.current[:pwn_plan_predicted] = nil cal_state = calibration_state force_plan = cal_state[:force_plan] skip_plan = %i[howto recall greeting].include?(intent) || trivia || catalog || no_tools || browse did_plan = false if !skip_plan && (force_plan || agent_flag(key: :plan_first, default: local) || budget_exhaustion_hot?) && !Array(tools).empty? predicted = plan_first(messages: , request: request, ts_state: ts_state) did_plan = true # P22 — prefer explicit return; fall back to thread stash predicted = Thread.current[:pwn_plan_predicted] if predicted.nil? # unify_plan! may have rewritten English tasks — force refresh focus. # Re-rank tools from (possibly unified) English plan; never from # PLAN: tool-call scaffold jargon (unify_plan! refuses that). if ts_state.is_a?(Hash) && defined?(TaskSummarizer) && TaskSummarizer.respond_to?(:relevance_query) rq = TaskSummarizer.relevance_query(state: ts_state, request: request) unless rq.to_s.strip.empty? tools = Registry.definitions( enabled: opts[:enabled_toolsets], relevance: rq, core_only: core_only, intent: intent ) end end inject_task_focus!(messages: , state: ts_state, force: true, request: request) unless skip_compass end debug_progress(msg: "plan_first=#{did_plan} trivia=#{trivia} catalog=#{catalog} browse=#{browse}") if force_plan && cal_state[:cal] && !skip_plan << { role: 'user', content: "[pwn-ai/w3] engine=#{active_engine} is overconfident " \ "(brier=#{cal_state[:cal][:brier]}, overconf=#{cal_state[:cal][:overconfidence]}). " \ 'Prefer high-judge exemplars, verify claims, and avoid speculative tool calls.' } end turn_fails = Hash.new(0) escalated = false maybe_park_budget_scars! maybe_extinguish_parked! i = 0 loop do i += 1 # 3.1 — compact history on local so tool dumps don't fill num_ctx compact_history!(messages: ) if local # English-task-as-primary: when plan_idx advanced, tell the model # which plain-English task is active before the next tool batch. inject_task_focus!(messages: , state: ts_state, request: request) unless skip_compass t0 = Time.now msg = call_engine(messages: , tools: tools, ts_state: ts_state) engine_s += (Time.now - t0) PWN::Plugins::TTYSpinner.halt_all! if defined?(PWN::Plugins::TTYSpinner) if msg.nil? task_summary_flush!(state: ts_state, on_tool: on_tool) debug_progress(msg: 'engine returned no message') quiet_debug_tui!(reason: 'engine_empty') txt = '[pwn-ai] engine returned no message' debug_final_text!(text: txt) final_chars = txt.length return txt end calls = Array(msg[:tool_calls]) text = msg[:content].to_s # Belt-and-suspenders: plain-text shell(...) / tool forms from local # models under weak TEMPLATE {{ .Prompt }} become real tool_calls. if calls.empty? && !text.strip.empty? && defined?(Dispatch) && Dispatch.respond_to?(:tool_calls_from_text) coerced = Dispatch.tool_calls_from_text(text: text) if coerced.any? wired = coerced.map { |tc| openai_wire_tool_call(tool_call: tc) } msg = msg.merge(tool_calls: wired, content: nil, _text_tool_coerced: true) calls = wired text = '' warn "[pwn-ai/loop] coerced #{wired.length} text tool call(s) on iter=#{i}" if local end end # Empty-final guard (local/thinking models): Ollama sometimes # returns done_reason=stop with eval_count<=1, empty content, no # tool_calls — historically surface as a blank TUI reply. Do NOT # commit that as the answer; drop the empty assistant turn, # inject a one-shot nudge, and keep iterating. if calls.empty? && text.strip.empty? warn "[pwn-ai/loop] empty final from #{engine} on iter=#{i}; nudging" if local << { role: 'user', content: 'Your previous reply was empty (no tool_calls and no content). ' \ 'Either call a tool now, or write the final answer for the user as plain text. ' \ 'Do not reply with an empty message.' } turn_fails['empty_final'] += 1 debug_progress(msg: "bounce empty_final snippet=#{debug_snippet(text: text)}") next end << msg if calls.empty? # P28 — refuse polite mid-goal handoffs so multi-step tasks stay autonomous. if incomplete_final?(text: text, last_iter: false) turn_fails['incomplete_final'] += 1 warn "[pwn-ai/loop] incomplete final on iter=#{i}; continuing autonomously" debug_progress(msg: "bounce incomplete_final snippet=#{debug_snippet(text: text)}") << { role: 'user', content: '[pwn-ai/p28] That reply was incomplete (handoff or narrated next step). ' \ 'Do NOT monologue about what you will try. Do NOT ask the user to ' \ 'confirm. Emit NATIVE tool_calls NOW (e.g. shell with a concrete ' \ 'command). Never print shell(...) as plain text. Only emit a final ' \ 'answer when the request is complete or truly blocked with evidence.' } next end unless may_finalize?( request: request, messages: , text: text ) turn_fails['unsatisfied'] += 1 warn "[pwn-ai/loop] original request not evidenced on iter=#{i}; continuing" debug_progress(msg: "bounce unsatisfied snippet=#{debug_snippet(text: text)}") << { role: 'user', content: '[pwn-ai] The original request is not evidenced yet. ' \ 'Keep calling CORE_TOOLS (shell, pwn_eval) until that request is ' \ 'done or truly blocked. Do not declare completion from a listing alone.' } next end debug_progress(msg: "final accepted chars=#{text.to_s.length}") quiet_debug_tui!(reason: 'final') debug_final_text!(text: text) final_chars = text.to_s.length append_session(session_id: session_id, role: 'assistant', content: text) Learning.auto_introspect(session_id: session_id, request: request, final: text, predicted: predicted, plan: ts_state && ts_state[:plan], ts_state: ts_state) if defined?(Learning) && !nested && !no_tools && should_auto_introspect?(local: local, turn_fails: turn_fails, iter: i) maybe_finish_policy(session_id: session_id, proxy_ok: true, ts_state: ts_state) task_summary_flush!(state: ts_state, on_tool: on_tool) OpenGoal.clear! if defined?(OpenGoal) && !nested return text end # One executive task brief for the whole collection, then the # individual tool lines. pwn-ai → task is one-to-many with tools. task_summary_about_to!( state: ts_state, tools: calls.map do |tool_call| { name: tool_call.dig(:function, :name).to_s, args: tool_call.dig(:function, :arguments) } end, request: request, on_tool: on_tool ) calls.each do |tc| name = tc.dig(:function, :name).to_s args = tc.dig(:function, :arguments) entry = Registry.lookup(name: name) started = Time.now argv_s = args.is_a?(String) ? args.to_s : args.inspect debug_progress(msg: "tool #{name} start:\n#{argv_s}", keep_newlines: true, cap: 0, tee: nil) if Thread.current[:pwn_extinguished].is_a?(Hash) && Thread.current[:pwn_extinguished][name] raw = JSON.generate( success: false, error: "extinguished_repeat: #{name} already failed this signature this turn — change args or tool", result: { stdout: '', stderr: "extinguished_repeat: #{name}", exit: 2 } ) else raw = Dispatch.call(tool_call: tc) end tools_called += 1 tele = record_metrics(name: name, started: started, raw: raw, args: args, session_id: session_id, engine: engine, ts_state: ts_state) result = Result.condition(content: raw, entry: entry) unless tele[:ok] fkey = Digest::SHA256.hexdigest("#{name}|#{args}")[0, 16] turn_fails[fkey] += 1 persist = tele.dig(:mistake, :count).to_i count = [turn_fails[fkey], persist].max hint = defined?(Mistakes) ? Mistakes.correction_hint(tool: name, error: tele[:err] || raw[0, 300]) : '' # S2 — counterfactual A/B: at the repeat threshold, fork an # alt-persona branch, judge both, inject the winner. Real # advantage estimation; (loser, winner) → DPO preference. thresh = defined?(Mistakes) ? Mistakes::REPEAT_THRESHOLD : 3 # P17 — never fork counterfactual when budget fingerprints dominate: # CF is another mini agent loop and is the #1 amplifier of # iteration-budget exhaustion on this host. if count >= thresh && !escalated && defined?(Curriculum) && !budget_exhaustion_hot? cf = (turn_fails["cf:#{fkey}"] += 1) == 1 ? Curriculum.counterfactual(request: request, name: name, args: args, error: tele[:err] || raw[0, 200], hint: hint) : nil hint = "#{hint}\n[pwn-ai/counterfactual] branch #{cf[:branch]} (score=#{cf[:score].round(2)}): #{cf[:content]}" if cf end result = guard_repeated_failure(name: name, count: count, hint: hint, result: result, mistake: tele[:mistake], args: args, shape: tele.dig(:mistake, :shape)) end on_tool&.call(name, args, result) debug_tool_io!(name: name, args: args, result: result) task_summary_record!(state: ts_state, name: name, args: args, result: result, on_tool: on_tool) << { role: 'tool', tool_call_id: tc[:id] || tc['id'] || "call_#{i}", name: name, content: result } append_session( session_id: session_id, role: 'tool', content: "#{name} → #{result[0, 1_024]}" ) end # Do not inject "stop calling tools". Long goals keep CORE_TOOLS # until may_finalize? — the original request is the only signal. next unless local && !escalated && dispatch_fail_n(turn_fails: turn_fails) >= ESCALATE_AFTER_FAILS hint = escalate(request: request, turn_fails: turn_fails, session_id: session_id) if hint << { role: 'tool', tool_call_id: "escalation_#{i}", name: 'frontier_hint', content: hint } append_session(session_id: session_id, role: 'tool', content: "frontier_hint → #{hint[0, 1_024]}") end escalated = true end rescue Interrupt Thread.current[:pwn_log_progress] = false if defined?(PWN::Plugins::Log) && PWN::Plugins::Log.respond_to?(:note_interrupt!) PWN::Plugins::Log.note_interrupt!(where: 'CTRL+C', which_self: self) else debug_progress(msg: 'Interrupt CTRL+C') end raise rescue StandardError => e if defined?(PWN::Plugins::Log) && PWN::Plugins::Log.respond_to?(:note_exception!) PWN::Plugins::Log.note_exception!(error: e, where: 'Loop.run', which_self: self) else debug_progress(msg: "exception Loop.run #{e.class}: #{e.}\n#{Array(e.backtrace).join("\n")}", keep_newlines: true, cap: 0) end raise ensure Thread.current[:pwn_loop_no_tools] = nil finish_debug_request!( iter: i, tools_called: tools_called, engine_s: engine_s, final_chars: final_chars ) TurnFinalizer.leave_user_path! if defined?(TurnFinalizer) end |
.world_knowledge?(opts = {}) ⇒ Boolean
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# File 'lib/pwn/ai/agent/loop.rb', line 488 public_class_method def self.world_knowledge?(opts = {}) request = opts[:request].to_s.strip return false if request.empty? return false if request.length > 120 return false if catalog_lookup?(request: request) return false if request.match?(ACT_REQUEST_RX) return false if request.match?(LOOKUP_REQUEST_RX) return false if request.match?(HOST_PATH_RX) return false if request.match?(BROWSER_REQUEST_RX) return false if request.match?(HOWTO_RX) return false if request.match?(%r{\b(this\s+(?:host|machine|box|system|subnet|file|repo)|/opt/|implement|scan|hosts?)\b}i) request.match?(/\A(?:what|why|who|when|where|which|how)\b/i) rescue StandardError false end |