class Riffer::Agent
Riffer::Agent is the base class for all agents in the Riffer framework.
Provides orchestration for LLM calls, tool use, and message management. Subclass this to create your own agents.
See Riffer::Messages and Riffer::Providers.
class MyAgent < Riffer::Agent model 'openai/gpt-4o' instructions 'You are a helpful assistant.' end agent = MyAgent.new agent.generate('Hello!')
Constants
- DEFAULT_MAX_STEPS
- INTERRUPT_MAX_STEPS
Attributes
The message history for the agent.
Cumulative token usage across all LLM calls.
Public Class Methods
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# File lib/riffer/agent.rb, line 186 def self.all subclasses end
Returns all agent subclasses.
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# File lib/riffer/agent.rb, line 178 def self.find(identifier) subclasses.find { |agent_class| agent_class.identifier == identifier.to_s } end
Finds an agent class by identifier.
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# File lib/riffer/agent.rb, line 196 def self.generate(...) new.generate(...) end
Generates a response using a new agent instance.
See generate for parameters and return value.
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# File lib/riffer/agent.rb, line 219 def self.guardrail(phase, with:, **options) valid_phases = [*Riffer::Guardrails::PHASES, :around] raise Riffer::ArgumentError, "Invalid guardrail phase: #{phase}" unless valid_phases.include?(phase) raise Riffer::ArgumentError, "Guardrail must be a Riffer::Guardrail subclass" unless with.is_a?(Class) && with <= Riffer::Guardrail @guardrails ||= {before: [], after: []} config = {class: with, options: options} case phase when :before @guardrails[:before] << config when :after @guardrails[:after] << config when :around @guardrails[:before] << config @guardrails[:after] << config end end
Registers a guardrail for input, output, or both phases.
- phase
-
:before, :after, or :around.
- with
-
the guardrail class (must be subclass of
Riffer::Guardrail). - options
-
additional options passed to the guardrail.
Raises Riffer::ArgumentError if phase is invalid or guardrail is not a Guardrail class.
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# File lib/riffer/agent.rb, line 244 def self.guardrails_for(phase) @guardrails ||= {before: [], after: []} @guardrails[phase] || [] end
Returns the registered guardrail configs for a given phase.
- phase
-
:before or :after.
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# File lib/riffer/agent.rb, line 33 def self.identifier(value = nil) return @identifier || class_name_to_path(name) if value.nil? @identifier = value.to_s end
Gets or sets the agent identifier.
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# File lib/riffer/agent.rb, line 67 def self.instructions(instructions_or_proc = nil) return @instructions if instructions_or_proc.nil? if instructions_or_proc.is_a?(Proc) @instructions = instructions_or_proc else validate_is_string!(instructions_or_proc, "instructions") @instructions = instructions_or_proc end end
Gets or sets the agent instructions.
Accepts a static string or a Proc for dynamic instructions. When a Proc is given, it is called at generate time and receives the context hash (which may be nil).
instructions "You are a helpful assistant." instructions -> (context) { "You are assisting #{context[:name]}" }
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# File lib/riffer/agent.rb, line 121 def self.max_steps(value = nil) return @max_steps || DEFAULT_MAX_STEPS if value.nil? @max_steps = value end
Gets or sets the maximum number of LLM call steps in the tool-use loop.
Defaults to DEFAULT_MAX_STEPS (16). Set to Float::INFINITY for unlimited steps.
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# File lib/riffer/agent.rb, line 42 def self.model(model_string_or_proc = nil) return @model if model_string_or_proc.nil? if model_string_or_proc.is_a?(Proc) @model = model_string_or_proc else validate_is_string!(model_string_or_proc, "model") @model = model_string_or_proc end end
Gets or sets the model string (e.g., “openai/gpt-4o”) or Proc.
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# File lib/riffer/agent.rb, line 91 def self.model_options(options = nil) return @model_options || {} if options.nil? @model_options = options end
Gets or sets model options passed to generate_text/stream_text.
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# File lib/riffer/agent.rb, line 262 def initialize @messages = [] @message_callbacks = [] @token_usage = nil @interrupted = false @model_config = self.class.model @instructions_config = self.class.instructions if @model_config.is_a?(Proc) @provider_name = nil @model_name = nil else parse_model_string!(@model_config) end end
Initializes a new agent.
Raises Riffer::ArgumentError if the configured model string is invalid (must be “provider/model” format).
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# File lib/riffer/agent.rb, line 82 def self.provider_options(options = nil) return @provider_options || {} if options.nil? @provider_options = options end
Gets or sets provider options passed to the provider client.
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# File lib/riffer/agent.rb, line 166 def self.skills(&block) if block @skills_config = Riffer::Skills::Config.new @skills_config.instance_eval(&block) end @skills_config end
Configures skills for this agent via a block DSL.
Returns the current Riffer::Skills::Config when called without a block.
skills do backend Riffer::Skills::FilesystemBackend.new(".skills") adapter Riffer::Skills::XmlAdapter activate ["code-review"] end
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# File lib/riffer/agent.rb, line 206 def self.stream(...) new.stream(...) end
Streams a response using a new agent instance.
See stream for parameters and return value.
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# File lib/riffer/agent.rb, line 102 def self.structured_output(params = nil, &block) if block @structured_output = Riffer::Params.new @structured_output.instance_eval(&block) elsif params.nil? @structured_output else raise Riffer::ArgumentError, "structured_output must be a Riffer::Params" unless params.is_a?(Riffer::Params) @structured_output = params end end
Gets or sets the structured output schema for this agent.
Accepts a Riffer::Params instance or a block evaluated against a new Params.
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# File lib/riffer/agent.rb, line 145 def self.tool_runtime(value = nil) if value.nil? return @tool_runtime if instance_variable_defined?(:@tool_runtime) superclass.respond_to?(:tool_runtime) ? superclass.tool_runtime : nil else @tool_runtime = value end end
Gets or sets the tool runtime for this agent.
Accepts a Riffer::ToolRuntime subclass, a Riffer::ToolRuntime instance, or a Proc.
Inherited by subclasses. When unset, walks the ancestor chain and falls back to the global Riffer.config.tool_runtime.
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# File lib/riffer/agent.rb, line 130 def self.uses_tools(tools_or_lambda = nil) return @tools_config if tools_or_lambda.nil? @tools_config = tools_or_lambda end
Gets or sets the tools used by this agent.
Public Instance Methods
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# File lib/riffer/agent.rb, line 282 def generate(prompt_or_messages, files: nil, context: nil) @context = context prepare_run @structured_output = resolve_structured_output initialize_messages(prompt_or_messages, files: files) all_modifications = [] #: Array[Riffer::Guardrails::Modification] tripwire, modifications = run_before_guardrails all_modifications.concat(modifications) return build_response("", tripwire: tripwire, modifications: all_modifications) if tripwire run_generate_loop(all_modifications) end
Generates a response from the agent.
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# File lib/riffer/agent.rb, line 344 def generate_instruction_message(context: nil) build_instruction_message(context) end
Generates the instruction system message for this agent.
Useful for database persistence workflows where the system messages need to be stored independently.
Returns nil when no instructions are configured.
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# File lib/riffer/agent.rb, line 357 def generate_skills_message(context: nil) build_skills_message(resolve_skills(context)) end
Generates the skills catalog system message for this agent.
Useful for database persistence workflows where the system messages need to be stored independently.
Returns nil when no skills are configured or the catalog is empty.
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# File lib/riffer/agent.rb, line 368 def interrupt!(reason = nil) throw :riffer_interrupt, reason end
Interrupts the agent loop.
Call from an on_message callback to cleanly interrupt the loop. Equivalent to throw :riffer_interrupt, reason.
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# File lib/riffer/agent.rb, line 329 def on_message(&block) raise Riffer::ArgumentError, "on_message requires a block" unless block_given? @message_callbacks << block self end
Registers a callback to be invoked when messages are added during generation.
Raises Riffer::ArgumentError if no block is given.
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# File lib/riffer/agent.rb, line 303 def stream(prompt_or_messages, files: nil, context: nil) raise Riffer::ArgumentError, "Structured output is not supported with streaming. Use #generate instead." if self.class.structured_output @context = context prepare_run initialize_messages(prompt_or_messages, files: files) Enumerator.new do |yielder| tripwire, modifications = run_before_guardrails modifications.each { |m| yielder << Riffer::StreamEvents::GuardrailModification.new(m) } if tripwire yielder << Riffer::StreamEvents::GuardrailTripwire.new(tripwire) next end run_stream_loop(yielder) end end
Streams a response from the agent.
Raises Riffer::ArgumentError if structured output is configured.