Module: Legion::LLM::Inference
- Extended by:
- Legion::Logging::Helper
- Defined in:
- lib/legion/llm/inference.rb,
lib/legion/llm/inference/steps.rb,
lib/legion/llm/inference/prompt.rb,
lib/legion/llm/inference/profile.rb,
lib/legion/llm/inference/request.rb,
lib/legion/llm/inference/tracing.rb,
lib/legion/llm/inference/executor.rb,
lib/legion/llm/inference/response.rb,
lib/legion/llm/inference/timeline.rb,
lib/legion/llm/inference/steps/rbac.rb,
lib/legion/llm/inference/gaia_caller.rb,
lib/legion/llm/inference/conversation.rb,
lib/legion/llm/inference/steps/debate.rb,
lib/legion/llm/inference/steps/billing.rb,
lib/legion/llm/inference/steps/logging.rb,
lib/legion/llm/inference/embed_pipeline.rb,
lib/legion/llm/inference/route_attempts.rb,
lib/legion/llm/inference/steps/metering.rb,
lib/legion/llm/inference/attempt_context.rb,
lib/legion/llm/inference/audit_publisher.rb,
lib/legion/llm/inference/steps/gut_check.rb,
lib/legion/llm/inference/steps/rag_guard.rb,
lib/legion/llm/inference/tool_dispatcher.rb,
lib/legion/llm/inference/executor/routing.rb,
lib/legion/llm/inference/native_tool_loop.rb,
lib/legion/llm/inference/steps/tool_calls.rb,
lib/legion/llm/inference/steps/rag_context.rb,
lib/legion/llm/inference/context_accounting.rb,
lib/legion/llm/inference/steps/prompt_cache.rb,
lib/legion/llm/inference/steps/token_budget.rb,
lib/legion/llm/inference/steps/tool_history.rb,
lib/legion/llm/inference/enrichment_injector.rb,
lib/legion/llm/inference/executor/escalation.rb,
lib/legion/llm/inference/steps/gaia_advisory.rb,
lib/legion/llm/inference/steps/mcp_discovery.rb,
lib/legion/llm/inference/steps/post_response.rb,
lib/legion/llm/inference/steps/tier_assigner.rb,
lib/legion/llm/inference/steps/trigger_match.rb,
lib/legion/llm/inference/steps/classification.rb,
lib/legion/llm/inference/steps/skill_injector.rb,
lib/legion/llm/inference/steps/span_annotator.rb,
lib/legion/llm/inference/steps/sticky_helpers.rb,
lib/legion/llm/inference/steps/sticky_persist.rb,
lib/legion/llm/inference/steps/sticky_runners.rb,
lib/legion/llm/inference/steps/tool_discovery.rb,
lib/legion/llm/inference/executor/context_window.rb,
lib/legion/llm/inference/executor/tool_injection.rb,
lib/legion/llm/inference/steps/knowledge_capture.rb,
lib/legion/llm/inference/executor/payload_builder.rb,
lib/legion/llm/inference/steps/confidence_scoring.rb
Defined Under Namespace
Modules: AuditPublisher, ContextAccounting, Conversation, EmbedPipeline, EnrichmentInjector, GaiaCaller, NativeToolLoop, Profile, Prompt, RouteAttempts, Steps, Tracing Classes: AttemptContext, Executor, Request, Response, Timeline
Constant Summary collapse
- FRAMEWORK_KEYS =
%i[request_id source timestamp datetime task_id parent_id master_id check_subtask generate_task catch_exceptions worker_id principal_id principal_type caller].freeze
- RESPONSE_CACHE_OPERATION =
SSOT v3 §20.1 operation for the chat_direct response cache probe.
:chat- AUTO_ROUTING_MODEL_KEY =
'legionio'- ToolDispatcher =
Tools::Dispatcher
Class Method Summary collapse
- .apply_response_guards(result, kwargs) ⇒ Object
- .ask(message:, model: nil, provider: nil, intent: nil, tier: nil, context: {}, identity: nil) ⇒ Object
-
.ask_direct(message:, model: nil, provider: nil, intent: nil, tier: nil) ⇒ Object
rubocop:disable Legion/Framework/NoDirectDispatch ask_direct is a deprecated shim.
- .assert_external_allowed! ⇒ Object (also: assert_cloud_allowed!)
- .blocked_hook_response(blocked) ⇒ Object
- .cacheable?(cache_opt, temperature, message) ⇒ Boolean
- .caller_descriptor(caller_context) ⇒ Object
-
.chat(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
Public inference entry points — these are the methods delegated from Legion::LLM.
-
.chat_direct(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil) ⇒ Object
rubocop:disable Legion/Framework/NoDirectDispatch chat_direct is a deprecated shim per CHANGELOG 0.12.16 that routes through the governed pipeline; see Legion::LLM::Deprecation.warn_once.
-
.chat_direct_governed(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
rubocop:enable Legion/Framework/NoDirectDispatch.
- .chat_direct_raw(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
- .chat_via_pipeline(&block) ⇒ Object
- .daemon_ask(message:, model: nil, provider: nil, context: {}, tier: nil) ⇒ Object
-
.direct_chat_session?(result) ⇒ Boolean
rubocop:enable Legion/Framework/NoDirectDispatch.
- .dispatch_chat(model:, provider:, intent:, tier:, escalate:, max_escalations:, quality_check:, message:, **kwargs) ⇒ Object
- .effective_tier_is_external?(tier, provider) ⇒ Boolean (also: effective_tier_is_cloud?)
- .elapsed_ms_since(started_at) ⇒ Object
- .emit_non_pipeline_metering(response, model:, provider:, caller: nil, messages: nil) ⇒ Object
- .emit_privacy_blocked_audit ⇒ Object
-
.enterprise_privacy? ⇒ Boolean
L1: the consumer-side ENV fallback is gone — the env/setting resolution lives in the shared owner (Legion::Settings.enterprise_privacy?), consumed directly (hard dependency; no respond_to? guard).
- .escalation_enabled? ⇒ Boolean
- .escalation_quality_threshold ⇒ Object
- .external_tier?(tier) ⇒ Boolean
- .extract_error_category_from_attempt(attempt) ⇒ Object
- .hash_response_details(result, requested_model:, requested_provider:) ⇒ Object
- .inference_input_payload(message:, messages:) ⇒ Object
- .inference_response_details(result, requested_model:, requested_provider:) ⇒ Object
- .inference_text_length(payload) ⇒ Object
- .inference_token_value(tokens, key) ⇒ Object
- .log_inference_error(request_type:, requested_model:, requested_provider:, error:, duration_ms:) ⇒ Object
- .log_inference_request(request_type:, requested_model:, requested_provider:, intent:, tier:, message:, kwargs:) ⇒ Object
- .log_inference_response(request_type:, requested_model:, requested_provider:, result:, duration_ms:) ⇒ Object
- .maybe_shadow_evaluate(response, messages, primary_model) ⇒ Object
- .normalize_ask_direct_hash(result, fallback_model:) ⇒ Object
- .object_response_details(result, requested_model:, requested_provider:) ⇒ Object
-
.payload_preview(payload) ⇒ Object
M1: bounded payload preview for the inference log.
- .pipeline_enabled? ⇒ Boolean
- .pipeline_response_details(result, requested_model:, requested_provider:) ⇒ Object
- .publish_escalation_event(history, final_outcome, caller: nil) ⇒ Object
- .resolve_ask_direct_response(result, message, requested_model) ⇒ Object
- .response_cache_shape(kwargs) ⇒ Object
- .response_guards_enabled? ⇒ Boolean
- .safe_inference_value(object, method_name) ⇒ Object
- .ssot_cache_key_for(selection:, request:, snapshot:) ⇒ Object
- .ssot_cache_request(message:, model:, provider:, tier:, temperature:, shape:) ⇒ Object
-
.ssot_cache_router(request) ⇒ Object
Mirror the executor's build_ssot_router so the probe selection uses the exact same routing derivation the dispatch will — including the raw body model source (metadata, byte-for-byte with inference/executor/routing.rb).
-
.ssot_response_cache(message:, model:, provider:, tier:, temperature:, cache_opt:, shape: {}) ⇒ Object
SSOT v3 §20.1: select the exact lane through a per-request RoutingSession, then probe the response cache keyed by that Selection — AFTER next_attempt returns an AttemptContext but BEFORE any callable acquisition.
- .try_defer(intent:, urgency:, model:, provider:, message:) ⇒ Object
Class Method Details
.apply_response_guards(result, kwargs) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 674 def apply_response_guards(result, kwargs) context = kwargs[:context] response_text = result[:response] || result[:content] guard_result = Hooks::ResponseGuard.guard_response( response: response_text, context: context ) log.warn "[llm][inference] response_guard passed=#{guard_result[:passed]}" unless guard_result[:passed] result.merge(_guard_result: guard_result) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.apply_response_guards') result end |
.ask(message:, model: nil, provider: nil, intent: nil, tier: nil, context: {}, identity: nil) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 83 def ask(message:, model: nil, provider: nil, intent: nil, tier: nil, context: {}, identity: nil, &) started_at = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC) log_inference_request( request_type: :ask, requested_model: model, requested_provider: provider, intent: intent, tier: tier, message: , kwargs: { context: context, identity: identity } ) # L9 (annotated dual topology — a design call, not a defect fix): one # ask() surface, two execution topologies. With a remote daemon # configured the request goes over the wire and the daemon runs the # governed pipeline there; without one the same governed pipeline runs # in-process (ask_direct -> chat_direct). Both paths meter/audit where # they execute; the historical ungoverned ask_direct gap is closed # (0.12.16). The split is explicit and recorded here so the topology is # a known edge; collapsing it is a design decision. if Call::DaemonClient.available? result = daemon_ask(message: , model: model, provider: provider, context: context, tier: tier, identity: identity) if result log_inference_response( request_type: :ask, requested_model: model, requested_provider: provider, result: result, duration_ms: elapsed_ms_since(started_at) ) return result end end result = ask_direct(message: , model: model, provider: provider, intent: intent, tier: tier, &) log_inference_response( request_type: :ask, requested_model: model, requested_provider: provider, result: result, duration_ms: elapsed_ms_since(started_at) ) result rescue StandardError => e log_inference_error( request_type: :ask, requested_model: model, requested_provider: provider, error: e, duration_ms: elapsed_ms_since(started_at) ) raise end |
.ask_direct(message:, model: nil, provider: nil, intent: nil, tier: nil) ⇒ Object
rubocop:disable Legion/Framework/NoDirectDispatch
ask_direct is a deprecated shim. The previous body routed through
chat_direct_raw, an ungoverned path that bypasses metering/audit
— the same compliance gap that motivated the chat_direct/embed_direct/
structured_direct deprecation in 0.12.16. It now routes through the
governed pipeline via chat_direct and adapts the response to the
legacy {status:, response:, meta:} shape ask() callers expect.
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# File 'lib/legion/llm/inference.rb', line 523 def ask_direct(message:, model: nil, provider: nil, intent: nil, tier: nil, &) Legion::LLM::Deprecation.warn_once(:ask_direct, replacement: 'Legion::LLM.ask') assert_external_allowed! if effective_tier_is_external?(tier, provider) result = chat_direct( model: model, provider: provider, intent: intent, tier: tier, message: , & ) return result if result.is_a?(Hash) && result[:deferred] # M2: the meta model is the Selection-reported model (meta[:model]) or # the requested model — no configured default fabricated pre-Selection. return normalize_ask_direct_hash(result, fallback_model: model) if result.is_a?(Hash) response, resolved_model = resolve_ask_direct_response(result, , model, &) { status: :done, response: response.content, meta: { tier: :direct, model: resolved_model, tokens_in: response.respond_to?(:input_tokens) ? response.input_tokens : nil, tokens_out: response.respond_to?(:output_tokens) ? response.output_tokens : nil } } end |
.assert_external_allowed! ⇒ Object Also known as: assert_cloud_allowed!
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# File 'lib/legion/llm/inference.rb', line 890 def assert_external_allowed! return unless enterprise_privacy? emit_privacy_blocked_audit raise Legion::LLM::PrivacyModeError, 'External LLM tiers are disabled: enterprise_data_privacy is enabled. ' \ 'Only local and fleet tiers are permitted.' end |
.blocked_hook_response(blocked) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 669 def blocked_hook_response(blocked) reason = blocked[:reason] || blocked['reason'] || blocked[:message] || blocked['message'] || 'request blocked by hook' { error: 'request_blocked', message: reason.to_s } end |
.cacheable?(cache_opt, temperature, message) ⇒ Boolean
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# File 'lib/legion/llm/inference.rb', line 689 def cacheable?(cache_opt, temperature, ) effective_temp = temperature.nil? ? Legion::Settings[:llm][:default_temperature] : temperature cache_opt != false && effective_temp.to_f.zero? && && Cache.enabled? end |
.caller_descriptor(caller_context) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 430 def caller_descriptor(caller_context) return caller_context unless caller_context.is_a?(Hash) source = caller_context[:source] || caller_context['source'] path = caller_context[:path] || caller_context['path'] return "#{source}:#{path}" if source && path return source.to_s if source caller_context.inspect end |
.chat(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
Public inference entry points — these are the methods delegated from Legion::LLM
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# File 'lib/legion/llm/inference.rb', line 33 def chat(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs, &) started_at = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC) log_inference_request( request_type: :chat, requested_model: model, requested_provider: provider, intent: intent, tier: tier, message: , kwargs: kwargs ) # M2: the span label carries the REQUESTED model (nil when the request # is unconstrained) — it must not assert a configured default the # Selection may never pick. result = if defined?(Legion::Telemetry::OpenInference) Legion::Telemetry::OpenInference.llm_span( model: model&.to_s, provider: provider&.to_s, input: ) do |_span| dispatch_chat(model: model, provider: provider, intent: intent, tier: tier, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, message: , **kwargs, &) end else dispatch_chat(model: model, provider: provider, intent: intent, tier: tier, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, message: , **kwargs, &) end log_inference_response( request_type: :chat, requested_model: model, requested_provider: provider, result: result, duration_ms: elapsed_ms_since(started_at) ) result rescue StandardError => e log_inference_error( request_type: :chat, requested_model: model, requested_provider: provider, error: e, duration_ms: elapsed_ms_since(started_at) ) raise end |
.chat_direct(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil) ⇒ Object
rubocop:disable Legion/Framework/NoDirectDispatch chat_direct is a deprecated shim per CHANGELOG 0.12.16 that routes through the governed pipeline; see Legion::LLM::Deprecation.warn_once.
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# File 'lib/legion/llm/inference.rb', line 143 def chat_direct(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **, &) Legion::LLM::Deprecation.warn_once(:chat_direct, replacement: 'Legion::LLM.chat') if Thread.current[:legion_llm_in_pipeline] || !pipeline_enabled? || ! return chat_direct_raw(model: model, provider: provider, intent: intent, tier: tier, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, message: , **, &) end chat_direct_governed(model: model, provider: provider, intent: intent, tier: tier, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, message: , **, &) end |
.chat_direct_governed(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
rubocop:enable Legion/Framework/NoDirectDispatch
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# File 'lib/legion/llm/inference.rb', line 159 def chat_direct_governed(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs, &) log.debug( "[llm][inference] chat_direct_governed.enter model=#{model} provider=#{provider} " \ "intent=#{intent} tier=#{tier} message_present=#{!.nil?}" ) assert_external_allowed! if effective_tier_is_external?(tier, provider) caller_hash = kwargs.delete(:caller) || { requested_by: { type: :system, identity: 'legion:internal:chat_direct' } } cache_opt = kwargs.delete(:cache) { true } temperature = kwargs.delete(:temperature) kwargs.delete(:urgency) # SSOT v3 §20.1: select first, then probe the response cache by the exact # Selection identity — before any callable acquisition. There is no # pre-routing response cache (M2): a hit served without a Selection would # outlive the lane that produced it — no inventory generation check, no # metering/audit of the serving. When the SSOT inventory path is inactive # the probe returns nil and the response is dispatched uncached. cache_key = nil ssot_cache = ssot_response_cache(message: , model: model, provider: provider, tier: tier, temperature: temperature, cache_opt: cache_opt, shape: response_cache_shape(kwargs)) if ssot_cache return ssot_cache[:response] if ssot_cache[:hit] cache_key = ssot_cache[:key] end # SSOT v3: no default provider/model and no legacy fallback. An # unconstrained request (no provider/model/tier pin) is a valid # unconstrained SSOT selection — next_lane ranks all eligible lanes. # There is one engine (Prompt.dispatch -> Executor -> RoutingSession). result = Prompt.dispatch( , intent: intent, tier: tier, provider: provider, model: model, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, caller: caller_hash, temperature: temperature, **kwargs.except(:messages) ) if cache_key && result.is_a?(Hash) ttl = Legion::Settings[:llm][:prompt_caching][:response_cache][:ttl_seconds] Cache.set(cache_key, result, ttl: ttl) end log.debug("[llm][inference] chat_direct_governed.exit result_class=#{result.class}") result end |
.chat_direct_raw(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 210 def chat_direct_raw(model: nil, provider: nil, intent: nil, tier: nil, escalate: nil, max_escalations: nil, quality_check: nil, message: nil, **kwargs, &) log.debug( "[llm][inference] chat_direct_raw.enter model=#{model} provider=#{provider} intent=#{intent} " \ "tier=#{tier} escalate=#{escalate} message_present=#{!.nil?} kwargs=#{kwargs.keys.sort}" ) cache_opt = kwargs.delete(:cache) { true } temperature = kwargs.delete(:temperature) escalate = escalation_enabled? if escalate.nil? # SSOT v3 §20.1: select first, then probe the response cache by the exact # Selection identity — before any callable acquisition. There is no # pre-routing response cache (M2) — see chat_direct_governed. cache_key = nil ssot_cache = ssot_response_cache(message: , model: model, provider: provider, tier: tier, temperature: temperature, cache_opt: cache_opt, shape: response_cache_shape(kwargs)) if ssot_cache return ssot_cache[:response] if ssot_cache[:hit] cache_key = ssot_cache[:key] end urgency = kwargs.delete(:urgency) { :normal } deferred = try_defer(intent: intent, urgency: urgency, model: model, provider: provider, message: , **kwargs) return deferred if deferred log.debug( "[llm][inference] chat_direct_raw.dispatch model=#{model} provider=#{provider} " \ "escalate=#{escalate} message_present=#{!.nil?}" ) # SSOT v3 single engine: retry/failover is inherent to the RoutingSession # loop, so there is no separate escalation chain and no chat_single legacy # selector — both collapse to one Prompt.dispatch -> Executor call. result = Prompt.dispatch( , intent: intent, tier: tier, provider: provider, model: model, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, caller: kwargs[:caller], temperature: temperature, **kwargs.except(:messages, :caller), & ) log.debug("[llm][inference] chat_direct_raw.exit result_class=#{result.class} result_nil=#{result.nil?}") if cache_key && result.is_a?(Hash) ttl = Legion::Settings[:llm][:prompt_caching][:response_cache][:ttl_seconds] Cache.set(cache_key, result, ttl: ttl) end result end |
.chat_via_pipeline(&block) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 492 def chat_via_pipeline(**, &block) request = Request.from_chat_args(**) executor = Executor.new(request) block ? executor.call_stream(&block) : executor.call end |
.daemon_ask(message:, model: nil, provider: nil, context: {}, tier: nil) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 498 def daemon_ask(message:, model: nil, provider: nil, context: {}, tier: nil, **) result = Call::DaemonClient.chat( message: , model: model, provider: provider, context: context, tier_preference: tier || :auto ) case result[:status] when :immediate, :created result[:body] when :accepted Cache::Response.poll(result[:request_id]) when :denied raise Legion::LLM::DaemonDeniedError, result.dig(:error, :message) || 'Access denied' when :rate_limited raise Legion::LLM::DaemonRateLimitedError, "Rate limited. Retry after #{result[:retry_after]}s" end end |
.direct_chat_session?(result) ⇒ Boolean
rubocop:enable Legion/Framework/NoDirectDispatch
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# File 'lib/legion/llm/inference.rb', line 556 def direct_chat_session?(result) result.respond_to?(:ask) && result.respond_to?(:model) && !result.respond_to?(:content) end |
.dispatch_chat(model:, provider:, intent:, tier:, escalate:, max_escalations:, quality_check:, message:, **kwargs) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 441 def dispatch_chat(model:, provider:, intent:, tier:, escalate:, max_escalations:, quality_check:, message:, **kwargs, &) log.debug( "[llm][inference] dispatch_chat.enter model=#{model} provider=#{provider} intent=#{intent} " \ "tier=#{tier} escalate=#{escalate} max_escalations=#{max_escalations} " \ "quality_check=#{quality_check} message_present=#{!.nil?} kwargs=#{kwargs.keys.sort}" ) if ( || kwargs[:messages]) && !block_given? return Prompt.dispatch( || kwargs[:messages], intent: intent, tier: tier, provider: provider, model: model, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, **kwargs.except(:messages) ) end if ( || kwargs[:messages]) && block_given? return chat_via_pipeline(model: model, provider: provider, intent: intent, tier: tier, message: , escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, **kwargs, &) end = .is_a?(Array) ? : [{ role: 'user', content: .to_s }] # M2: hooks see the requested model (nil when the request is # unconstrained) — no configured default asserted pre-Selection. if defined?(Legion::LLM::Hooks) blocked = Legion::LLM::Hooks.run_before(messages: , model: model) return blocked[:response] || blocked_hook_response(blocked) if blocked end result = chat_direct_raw(model: model, provider: provider, intent: intent, tier: tier, escalate: escalate, max_escalations: max_escalations, quality_check: quality_check, message: , **kwargs) if defined?(Legion::LLM::Hooks) blocked = Legion::LLM::Hooks.run_after(response: result, messages: , model: model) return blocked[:response] || blocked_hook_response(blocked) if blocked end result = apply_response_guards(result, kwargs) if response_guards_enabled? && result.is_a?(Hash) log.debug("[llm][inference] dispatch_chat.exit result_class=#{result.class} result_nil=#{result.nil?}") result end |
.effective_tier_is_external?(tier, provider) ⇒ Boolean Also known as: effective_tier_is_cloud?
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# File 'lib/legion/llm/inference.rb', line 901 def effective_tier_is_external?(tier, provider) return external_tier?(tier.to_sym) if tier return false unless enterprise_privacy? resolved = provider || Legion::Settings[:llm][:default_provider] external_providers = %i[anthropic bedrock openai gemini azure] external_providers.include?(resolved&.to_sym) end |
.elapsed_ms_since(started_at) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 327 def elapsed_ms_since(started_at) ((::Process.clock_gettime(::Process::CLOCK_MONOTONIC) - started_at) * 1000).round end |
.emit_non_pipeline_metering(response, model:, provider:, caller: nil, messages: nil) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 822 def emit_non_pipeline_metering(response, model:, provider:, caller: nil, messages: nil) return unless response usage = response.respond_to?(:usage) ? response.usage : nil input = usage.respond_to?(:input_tokens) ? usage.input_tokens.to_i : 0 output = usage.respond_to?(:output_tokens) ? usage.output_tokens.to_i : 0 thinking = usage.respond_to?(:thinking_tokens) ? usage.thinking_tokens.to_i : 0 finish = nil if response.respond_to?(:stop_reason) finish = response.stop_reason&.to_s elsif response.respond_to?(:stop) && response.stop.is_a?(Hash) finish = response.stop[:reason]&.to_s end = response.respond_to?(:metadata) ? response. : {} = .is_a?(Hash) ? : {} latency = ([:latency_ms] || .dig(:timing, :latency_ms) || 0).to_i wall_clock = ([:wall_clock_ms] || .dig(:timing, :wall_clock_ms) || 0).to_i response_content = if response.respond_to?(:text) response.text elsif response.respond_to?(:content) response.content end Legion::LLM::Metering.emit( provider: provider, model_id: model, request_type: 'chat', tier: 'direct', input_tokens: input, output_tokens: output, thinking_tokens: thinking, total_tokens: input + output + thinking, finish_reason: finish, provider_instance: response.respond_to?(:instance) ? response.instance : nil, latency_ms: latency, wall_clock_ms: wall_clock, caller: caller, event_type: 'llm_completion', status: 'success', messages: , response_content: response_content ) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.non_pipeline_metering') end |
.emit_privacy_blocked_audit ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 879 def emit_privacy_blocked_audit Legion::LLM::Audit.emit_prompt( request_id: nil, conversation_id: nil, caller: Legion::LLM::PublisherIdentity.caller_hash, routing: {}, tokens: {}, status: 'privacy_blocked', error: { class: 'PrivacyModeError', message: 'External tiers blocked by enterprise privacy' }, timestamp: Time.now, request_type: 'chat' ) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.emit_privacy_blocked_audit') end |
.enterprise_privacy? ⇒ Boolean
L1: the consumer-side ENV fallback is gone — the env/setting resolution lives in the shared owner (Legion::Settings.enterprise_privacy?), consumed directly (hard dependency; no respond_to? guard). Same owner as Router.privacy_mode?.
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# File 'lib/legion/llm/inference.rb', line 875 def enterprise_privacy? Legion::Settings.enterprise_privacy? end |
.escalation_enabled? ⇒ Boolean
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# File 'lib/legion/llm/inference.rb', line 806 def escalation_enabled? routing = Legion::Settings[:llm][:routing] return false unless routing.is_a?(Hash) esc = routing.is_a?(Hash) ? (routing[:escalation] || {}) : {} esc[:enabled] == true end |
.escalation_quality_threshold ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 814 def escalation_quality_threshold routing = Legion::Settings[:llm][:routing] return 50 unless routing.is_a?(Hash) esc = routing.is_a?(Hash) ? (routing[:escalation] || {}) : {} esc[:quality_threshold] || 50 end |
.external_tier?(tier) ⇒ Boolean
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# File 'lib/legion/llm/inference.rb', line 912 def external_tier?(tier) %i[cloud frontier].include?(tier) end |
.extract_error_category_from_attempt(attempt) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 649 def extract_error_category_from_attempt(attempt) return nil unless attempt.is_a?(Hash) failures = Array(attempt[:failures]) return nil if failures.empty? first = failures.first if first.is_a?(Hash) first[:category]&.to_s || first[:error]&.to_s elsif first.is_a?(String) first else first.to_s end end |
.hash_response_details(result, requested_model:, requested_provider:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 374 def hash_response_details(result, requested_model:, requested_provider:) = result[:meta] || result['meta'] || {} { output: result[:response] || result['response'] || result[:content] || result['content'] || result.dig(:message, :content) || result.to_s, provider: result[:provider] || result['provider'] || [:provider] || ['provider'] || requested_provider, model: result[:model] || result['model'] || [:model] || ['model'] || requested_model, input_tokens: result[:input_tokens] || result['input_tokens'] || [:tokens_in] || ['tokens_in'], output_tokens: result[:output_tokens] || result['output_tokens'] || [:tokens_out] || ['tokens_out'], stop_reason: result[:stop_reason] || result['stop_reason'] || result.dig(:stop, :reason) || result.dig('stop', 'reason'), tool_calls: Array(result[:tool_calls] || result['tool_calls'] || result[:tools] || result['tools']).size } end |
.inference_input_payload(message:, messages:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 331 def inference_input_payload(message:, messages:) return unless .nil? end |
.inference_response_details(result, requested_model:, requested_provider:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 353 def inference_response_details(result, requested_model:, requested_provider:) return pipeline_response_details(result, requested_model: requested_model, requested_provider: requested_provider) if result.is_a?(Legion::LLM::Inference::Response) return hash_response_details(result, requested_model: requested_model, requested_provider: requested_provider) if result.is_a?(Hash) object_response_details(result, requested_model: requested_model, requested_provider: requested_provider) end |
.inference_text_length(payload) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 337 def inference_text_length(payload) case payload when Array payload.sum { |item| inference_text_length(item) } when Hash return payload[:content].to_s.length if payload.key?(:content) return payload['content'].to_s.length if payload.key?('content') payload.values.sum { |item| inference_text_length(item) } when nil 0 else payload.to_s.length end end |
.inference_token_value(tokens, key) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 409 def inference_token_value(tokens, key) return nil if tokens.nil? return tokens[key] || tokens[key.to_s] if tokens.is_a?(Hash) method_name = { input: :input_tokens, output: :output_tokens, total: :total_tokens }[key] return tokens.public_send(method_name) if method_name && tokens.respond_to?(method_name) nil end |
.log_inference_error(request_type:, requested_model:, requested_provider:, error:, duration_ms:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 311 def log_inference_error(request_type:, requested_model:, requested_provider:, error:, duration_ms:) parts = [ '[llm][inference] response', "type=#{request_type}", 'status=error', "duration_ms=#{duration_ms}", "error_class=#{error.class}", "error=#{error..inspect}" ] parts << "requested_provider=#{requested_provider}" if requested_provider parts << "requested_model=#{requested_model}" if requested_model log.error(parts.join(' ')) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.log_error') end |
.log_inference_request(request_type:, requested_model:, requested_provider:, intent:, tier:, message:, kwargs:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 262 def log_inference_request(request_type:, requested_model:, requested_provider:, intent:, tier:, message:, kwargs:) input = inference_input_payload(message: , messages: kwargs[:messages]) parts = [ '[llm][inference] request', "type=#{request_type}", "input_length=#{inference_text_length(input)}" ] # M1: the raw payload is a compliance sink — it is not logged unless an # operator enables llm.logging.payload_preview_chars (bounded preview). preview = payload_preview(input) parts << "input_preview=#{preview}" if preview parts << "requested_provider=#{requested_provider}" if requested_provider parts << "requested_model=#{requested_model}" if requested_model parts << "intent=#{intent}" if intent parts << "tier=#{tier}" if tier parts << "caller=#{caller_descriptor(kwargs[:caller])}" if kwargs[:caller] parts << "conversation_id=#{kwargs[:conversation_id]}" if kwargs[:conversation_id] parts << "request_id=#{kwargs[:request_id]}" if kwargs[:request_id] parts << "tools=#{Array(kwargs[:tools]).size}" if kwargs.key?(:tools) parts << 'stream=true' if kwargs[:stream] log.info(parts.join(' ')) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.log_request') end |
.log_inference_response(request_type:, requested_model:, requested_provider:, result:, duration_ms:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 287 def log_inference_response(request_type:, requested_model:, requested_provider:, result:, duration_ms:) details = inference_response_details(result, requested_model: requested_model, requested_provider: requested_provider) parts = [ '[llm][inference] response', "type=#{request_type}", 'status=ok', "duration_ms=#{duration_ms}", "result_class=#{result.class}", "output_length=#{inference_text_length(details[:output])}" ] # M1: bounded, gated preview only — see log_inference_request. preview = payload_preview(details[:output]) parts << "output_preview=#{preview}" if preview parts << "provider=#{details[:provider]}" if details[:provider] parts << "model=#{details[:model]}" if details[:model] parts << "input_tokens=#{details[:input_tokens]}" unless details[:input_tokens].nil? parts << "output_tokens=#{details[:output_tokens]}" unless details[:output_tokens].nil? parts << "stop_reason=#{details[:stop_reason]}" if details[:stop_reason] parts << "tool_calls=#{details[:tool_calls]}" unless details[:tool_calls].nil? log.info(parts.join(' ')) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.log_response') end |
.maybe_shadow_evaluate(response, messages, primary_model) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 599 def maybe_shadow_evaluate(response, , primary_model) return unless Quality::ShadowEval.enabled? && Quality::ShadowEval.should_sample? log.debug "[llm][inference] shadow_evaluate primary_model=#{primary_model}" Inference::Executor::ASYNC_THREAD_POOL.post do Quality::ShadowEval.evaluate( primary_response: { content: response.respond_to?(:content) ? response.content : response.to_s, model: primary_model, usage: {} }, messages: ) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.shadow_eval') end end |
.normalize_ask_direct_hash(result, fallback_model:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 576 def normalize_ask_direct_hash(result, fallback_model:) = result[:meta].is_a?(Hash) ? result[:meta] : {} { status: result[:status] || :done, response: result[:response] || result[:content], meta: { tier: [:tier] || :direct, model: ([:model] || fallback_model).to_s, tokens_in: [:tokens_in], tokens_out: [:tokens_out] } } end |
.object_response_details(result, requested_model:, requested_provider:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 387 def object_response_details(result, requested_model:, requested_provider:) tool_calls = safe_inference_value(result, :tool_calls) { output: safe_inference_value(result, :content) || result.to_s, provider: requested_provider, model: safe_inference_value(result, :model_id)&.to_s || requested_model, input_tokens: safe_inference_value(result, :input_tokens), output_tokens: safe_inference_value(result, :output_tokens), stop_reason: safe_inference_value(result, :stop_reason), tool_calls: tool_calls.nil? ? nil : Array(tool_calls).size } end |
.payload_preview(payload) ⇒ Object
M1: bounded payload preview for the inference log. Returns nil when llm.logging.payload_preview_chars is unset/<= 0 (metadata-only log); otherwise the payload's inspect truncated at that many characters.
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# File 'lib/legion/llm/inference.rb', line 422 def payload_preview(payload) preview_chars = Legion::Settings.dig(:llm, :logging, :payload_preview_chars).to_i return nil if preview_chars <= 0 rendered = payload.inspect rendered.length > preview_chars ? "#{rendered[0, preview_chars]}..." : rendered end |
.pipeline_enabled? ⇒ Boolean
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# File 'lib/legion/llm/inference.rb', line 485 def pipeline_enabled? Legion::Settings[:llm][:pipeline_enabled] == true rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.pipeline_enabled') false end |
.pipeline_response_details(result, requested_model:, requested_provider:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 360 def pipeline_response_details(result, requested_model:, requested_provider:) = result. tokens = result.tokens { output: .is_a?(Hash) ? ([:content] || ['content']) : .to_s, provider: result.routing[:provider] || result.routing['provider'] || requested_provider, model: result.routing[:model] || result.routing['model'] || requested_model, input_tokens: inference_token_value(tokens, :input), output_tokens: inference_token_value(tokens, :output), stop_reason: result.stop[:reason] || result.stop['reason'], tool_calls: Array(result.tools).size } end |
.publish_escalation_event(history, final_outcome, caller: nil) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 614 def publish_escalation_event(history, final_outcome, caller: nil) return if history.size <= 1 first_attempt = history.first last_attempt = history.last event = { outcome: final_outcome, attempts: history.size, history: history, # Flat fields for consumer compatibility from_provider: first_attempt&.dig(:provider), from_instance: first_attempt&.dig(:instance), from_model: first_attempt&.dig(:model), to_provider: last_attempt&.dig(:provider), to_instance: last_attempt&.dig(:instance), to_model: last_attempt&.dig(:model), reason: ('provider_failover' if [:failure, 'failure', :error].include?(first_attempt&.dig(:outcome))), error_category: extract_error_category_from_attempt(first_attempt), attempt_no: history.size, latency_ms: history.sum { |a| (a[:duration_ms] || 0).to_i }, caller: caller || Legion::LLM::PublisherIdentity.caller_hash, timestamp: Time.now.utc.iso8601 } Legion::Events.emit('llm.escalation', **event) if defined?(Legion::Events) && Legion::Events.respond_to?(:emit) log.info "[llm][inference] escalation_event outcome=#{final_outcome} attempts=#{history.size}" Transport::Messages::EscalationEvent.new(event).publish if Legion::Settings.dig(:transport, :connected) == true rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.publish_escalation_event', outcome: final_outcome) nil end |
.resolve_ask_direct_response(result, message, requested_model) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 560 def resolve_ask_direct_response(result, , requested_model, &) if direct_chat_session?(result) response = block_given? ? result.ask(, &) : result.ask() return [response, result.model.to_s] end # M2: known model identities only (the session's model_id or the # requested model) — nil when neither exists, not a fabricated default. resolved_model = if result.respond_to?(:model_id) && result.model_id result.model_id.to_s else requested_model&.to_s end [result, resolved_model] end |
.response_cache_shape(kwargs) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 794 def response_cache_shape(kwargs) { system: kwargs[:system], tools: kwargs[:tools], tool_choice: kwargs[:tool_choice], thinking: kwargs[:thinking], response_format: kwargs[:response_format], tokens: kwargs[:tokens], generation: kwargs[:generation] } end |
.response_guards_enabled? ⇒ Boolean
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# File 'lib/legion/llm/inference.rb', line 665 def response_guards_enabled? Legion::Settings.dig(:llm, :response_guards, :enabled) == true end |
.safe_inference_value(object, method_name) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 400 def safe_inference_value(object, method_name) return nil unless object.methods.include?(method_name) || object.private_methods.include?(method_name) object.public_send(method_name) rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.inference.safe_value', method_name: method_name) nil end |
.ssot_cache_key_for(selection:, request:, snapshot:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 770 def ssot_cache_key_for(selection:, request:, snapshot:) lane = snapshot.lane(lane_id: selection.lane_id) revision_evidence = lane&.model_revision_evidence revision = if revision_evidence.respond_to?(:known?) && revision_evidence.known? revision_evidence.value.to_s else "instance:#{selection.instance_id}" end Cache.selection_key( provider_family: selection.provider_family, model: selection.model, revision: revision, operation: selection.operation, system: request.system, messages: request., tools: request.tools, tool_choice: request.tool_choice, thinking: request.thinking, response_format: request.response_format, max_output_tokens: (request.tokens.is_a?(Hash) ? request.tokens[:max] : nil), generation: request.generation ) end |
.ssot_cache_request(message:, model:, provider:, tier:, temperature:, shape:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 739 def ssot_cache_request(message:, model:, provider:, tier:, temperature:, shape:) args = { message: , model: model, provider: provider } args[:tier] = tier if tier args[:system] = shape[:system] if shape[:system] args[:tools] = shape[:tools] if shape.key?(:tools) args[:tool_choice] = shape[:tool_choice] if shape[:tool_choice] args[:thinking] = shape[:thinking] if shape[:thinking] args[:response_format] = shape[:response_format] if shape[:response_format] args[:tokens] = shape[:tokens] if shape[:tokens] generation = (shape[:generation] || {}).dup generation[:temperature] = temperature unless temperature.nil? args[:generation] = generation unless generation.empty? Inference::Request.from_chat_args(**args) end |
.ssot_cache_router(request) ⇒ Object
Mirror the executor's build_ssot_router so the probe selection uses the exact same routing derivation the dispatch will — including the raw body model source (metadata, byte-for-byte with inference/executor/routing.rb). An explicit routing pin still reaches the Router as a trusted constraint, so no fallback is needed here.
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# File 'lib/legion/llm/inference.rb', line 759 def ssot_cache_router(request) Legion::LLM::Router.new( request: request, operation: RESPONSE_CACHE_OPERATION, body_model: request.[:client_model] ) rescue StandardError => e handle_exception(e, level: :warn, handled: true, operation: 'llm.inference.ssot_cache_router') nil end |
.ssot_response_cache(message:, model:, provider:, tier:, temperature:, cache_opt:, shape: {}) ⇒ Object
SSOT v3 §20.1: select the exact lane through a per-request RoutingSession, then probe the response cache keyed by that Selection — AFTER next_attempt returns an AttemptContext but BEFORE any callable acquisition. A cache hit therefore proves current policy/capability/context/availability eligibility and reports the exact Selection identity while avoiding provider dispatch. Returns:
{ hit: true, response: <hash>, key: <str> } on hit,
{ hit: false, response: nil, key: <str> } on miss (caller dispatches + stores),
nil when the SSOT inventory path is inactive or the request is not
cacheable (the call runs uncached — there is no pre-routing cache).
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# File 'lib/legion/llm/inference.rb', line 707 def ssot_response_cache(message:, model:, provider:, tier:, temperature:, cache_opt:, shape: {}) return nil unless cacheable?(cache_opt, temperature, ) snapshot = Legion::Extensions::Llm::Inventory::Registry.snapshot return nil unless snapshot.generation.positive? request = ssot_cache_request(message: , model: model, provider: provider, tier: tier, temperature: temperature, shape: shape) router = ssot_cache_router(request) return nil unless router attempt = router.next_attempt return nil if attempt.is_a?(Legion::Extensions::Llm::Routing::Rejection) key = ssot_cache_key_for(selection: attempt.selection, request: request, snapshot: snapshot) cached = Cache.get(key) return { hit: false, response: nil, key: key } unless cached response = cached.dup response[:meta] = (response[:meta] || {}).merge( cached: true, provider: attempt.selection.provider_family, model: attempt.selection.model, instance: attempt.selection.instance_id ) log.debug "[llm][inference] action=ssot_response_cache cache=hit provider=#{attempt.selection.provider_family} model=#{attempt.selection.model}" { hit: true, response: response, key: key } rescue StandardError => e handle_exception(e, level: :warn, handled: true, operation: 'llm.inference.ssot_response_cache') nil end |
.try_defer(intent:, urgency:, model:, provider:, message:) ⇒ Object
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# File 'lib/legion/llm/inference.rb', line 590 def try_defer(intent:, urgency:, model:, provider:, message:, **) return nil unless Scheduling.enabled? && Scheduling.should_defer?(intent: intent || :normal, urgency: urgency) return nil unless Legion::LLM::Scheduling::Batch.enabled? log.debug "[llm][inference] try_defer deferring intent=#{intent} urgency=#{urgency}" entry_id = Legion::LLM::Scheduling::Batch.enqueue(model: model, provider: provider, message: , priority: urgency, **) { deferred: true, batch_id: entry_id, next_off_peak: Scheduling.next_off_peak.iso8601 } end |