Class: Raif::Task

Inherits:
ApplicationRecord
  • Object
show all
Includes:
Concerns::HasAvailableModelTools, Concerns::HasLlm, Concerns::HasPromptTemplates, Concerns::HasRequestedLanguage, Concerns::HasRuntimeDuration, Concerns::InvokesModelTools, Concerns::JsonSchemaDefinition, Concerns::LlmPromptCaching, Concerns::LlmResponseParsing, Concerns::LlmTemperature, Concerns::RunWith
Defined in:
app/models/raif/task.rb

Direct Known Subclasses

Evals::LlmJudge

Constant Summary

Constants included from Concerns::LlmResponseParsing

Concerns::LlmResponseParsing::ASCII_CONTROL_CHARS

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Concerns::RunWith

deserialize_run_with_value, gid_string?, locate_gid, serialize_run_with_value

Methods included from Concerns::JsonSchemaDefinition

#schema_for_instance

Methods included from Concerns::LlmResponseParsing

#parse_html_response, #parse_json_response, #parsed_response

Methods included from Concerns::HasRuntimeDuration

#runtime_duration, #runtime_duration_seconds, #runtime_ended_at

Methods included from Concerns::HasAvailableModelTools

#available_model_tools_map

Methods included from Concerns::HasRequestedLanguage

#requested_language_name, #system_prompt_language_preference

Methods included from Concerns::HasLlm

#default_llm_model_key, #llm

Instance Attribute Details

#files ⇒ Object

Returns the value of attribute files.



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# File 'app/models/raif/task.rb', line 76

def files
  @files
end

#images ⇒ Object

Returns the value of attribute images.



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# File 'app/models/raif/task.rb', line 76

def images
  @images
end

Class Method Details

.build_for_batch(batch:, batch_custom_id: nil, creator: nil, available_model_tools: [], llm_model_key: nil, images: [], files: [], **args) ⇒ Raif::Task

Builds a Raif::Task and a pending Raif::ModelCompletion attached to the given Raif::ModelCompletionBatch, without performing the LLM request. The provider's batch-submission code reads the pending completion's request fields when constructing its per-entry batch payload.

The task is persisted with started_at: nil (state :pending). The pending ModelCompletion has raif_model_completion_batch_id pointing at the batch and batch_custom_id set to the value used as the provider's custom_id in the batch payload.

Parameters:

  • batch (Raif::ModelCompletionBatch)
  • batch_custom_id (String, nil) (defaults to: nil) —

    the provider custom_id; defaults to "raif_task_<task.id>"

Returns:



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# File 'app/models/raif/task.rb', line 204

def self.build_for_batch(batch:, batch_custom_id: nil, creator: nil, available_model_tools: [],
  llm_model_key: nil, images: [], files: [], **args)
  task = build_task_instance(
    creator: creator,
    available_model_tools: available_model_tools,
    llm_model_key: llm_model_key,
    images: images,
    files: files,
    **args
  )

  task.save!
  task.prepare_for_batch!(batch: batch, batch_custom_id: batch_custom_id)
  task
end

.json_response_schema(&block) ⇒ Object 



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# File 'app/models/raif/task.rb', line 301

def self.json_response_schema(&block)
  if block_given?
    json_schema_definition(:json_response, &block)
  elsif schema_defined?(:json_response)
    schema_for(:json_response)
  end
end

.prompt(creator: nil, **args) ⇒ String

Returns the LLM prompt for the task.

Parameters:

  • creator (Object, nil) (defaults to: nil) —

    The creator of the task (polymorphic association), optional

  • args (Hash) —

    Additional arguments to pass to the instance of the task that is created.

Returns:

  • (String) —

    The LLM prompt for the task.



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# File 'app/models/raif/task.rb', line 288

def self.prompt(creator: nil, **args)
  new(creator:, **args).build_prompt
end

.run(creator: nil, available_model_tools: [], llm_model_key: nil, images: [], files: [], **args, &block) ⇒ Raif::Task?

The primary interface for running a task. It will hit the LLM with the task's prompt and system prompt and return a Raif::Task object. It will also create a new Raif::ModelCompletion record.

Parameters:

  • creator (Object, nil) (defaults to: nil) —

    The creator of the task (polymorphic association), optional

  • available_model_tools (Array<Class>) (defaults to: []) —

    Optional array of model tool classes that will be provided to the LLM for it to invoke.

  • llm_model_key (Symbol, String) (defaults to: nil) —

    Optional key for the LLM model to use. If blank, Raif.config.default_llm_model_key will be used.

  • images (Array) (defaults to: []) —

    Optional array of Raif::ModelImageInput objects to include with the prompt.

  • files (Array) (defaults to: []) —

    Optional array of Raif::ModelFileInput objects to include with the prompt.

  • args (Hash) —

    Additional arguments to pass to the instance of the task that is created.

Returns:

  • (Raif::Task, nil) —

    The task instance that was created and run.



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# File 'app/models/raif/task.rb', line 103

def self.run(creator: nil, available_model_tools: [], llm_model_key: nil, images: [], files: [], **args, &block)
  task = build_task_instance(
    creator: creator,
    available_model_tools: available_model_tools,
    llm_model_key: llm_model_key,
    images: images,
    files: files,
    started_at: Time.current,
    **args
  )

  task.save!
  task.run(&block)
  task
rescue StandardError => e
  task&.failed!

  logger.error e.message
  logger.error e.backtrace.join("\n")

  if defined?(Airbrake)
    notice = Airbrake.build_notice(e)
    notice[:context][:component] = "raif_task"
    notice[:context][:action] = name

    Airbrake.notify(notice)
  end

  task
end

.system_prompt(creator: nil, **args) ⇒ String

Returns the LLM system prompt for the task.

Parameters:

  • creator (Object, nil) (defaults to: nil) —

    The creator of the task (polymorphic association), optional

  • args (Hash) —

    Additional arguments to pass to the instance of the task that is created.

Returns:

  • (String) —

    The LLM system prompt for the task.



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# File 'app/models/raif/task.rb', line 297

def self.system_prompt(creator: nil, **args)
  new(creator:, **args).build_system_prompt
end

Instance Method Details

#build_prompt ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'app/models/raif/task.rb', line 325

def build_prompt
  raise NotImplementedError, "Raif::Task subclasses must implement #build_prompt"
end

#build_system_prompt ⇒ Object 



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# File 'app/models/raif/task.rb', line 329

def build_system_prompt
  sp = Raif.config.task_system_prompt_intro
  sp = sp.call(self) if sp.respond_to?(:call)
  sp += system_prompt_language_preference if requested_language_key.present?
  sp
end

#json_response_schema ⇒ Object

Instance method to get the JSON response schema For instance-dependent schemas, builds the schema with this instance as context For class-level schemas, returns the class-level schema



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# File 'app/models/raif/task.rb', line 312

def json_response_schema
  schema_for_instance(:json_response)
end

#messages ⇒ Object 



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# File 'app/models/raif/task.rb', line 279

def messages
  [{ "role" => "user", "content" => message_content }]
end

#prepare_for_batch!(batch:, batch_custom_id: nil, skip_prompt_population: false) ⇒ Raif::ModelCompletion

Populates this task's prompts and creates the pending Raif::ModelCompletion that will be sent through the batch. Mirrors Raif::Task#run's default behavior: prompts are rebuilt every call unless skip_prompt_population: true is passed (e.g. for re-prepare flows where the caller has hand-set prompts and wants them preserved).

The default batch_custom_id is "raif_task_<task.id>" — a task-specific identifier. Other producers (non-task) should pass an explicit batch_custom_id when building their own pending completions via Raif::Llm#build_pending_model_completion; the only requirement is uniqueness within the batch.

Parameters:

  • batch (Raif::ModelCompletionBatch)
  • batch_custom_id (String, nil) (defaults to: nil)
  • skip_prompt_population (Boolean) (defaults to: false) —

    preserve any pre-set prompts on this task instead of rebuilding via #build_prompt / #build_system_prompt

Returns:



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# File 'app/models/raif/task.rb', line 256

def prepare_for_batch!(batch:, batch_custom_id: nil, skip_prompt_population: false)
  populate_prompts unless skip_prompt_population
  save! if changed?

  effective_batch_custom_id = batch_custom_id.presence || "raif_task_#{id}"

  mc = llm.build_pending_model_completion(
    messages: messages,
    source: self,
    system_prompt: system_prompt,
    response_format: response_format.to_sym,
    available_model_tools: available_model_tools,
    temperature: self.class.temperature,
    anthropic_prompt_caching_enabled: self.class.anthropic_prompt_caching_enabled,
    bedrock_prompt_caching_enabled: self.class.bedrock_prompt_caching_enabled,
    raif_model_completion_batch: batch,
    batch_custom_id: effective_batch_custom_id
  )

  self.raif_model_completion = mc
  mc
end

#process_completion!(model_completion) ⇒ self

Wires a (possibly batch-resolved) Raif::ModelCompletion back into this task: links it as the task's raif_model_completion, mirrors raw_response onto the task, processes any tool calls the model made, and transitions the task to completed (or failed, if the underlying completion failed). Called by both the synchronous #run path and the batch completion handler after the provider's per-entry result has been applied.

Parameters:

Returns:

  • (self) 


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# File 'app/models/raif/task.rb', line 175

def process_completion!(model_completion)
  self.raif_model_completion = model_completion.becomes(Raif::ModelCompletion)

  update(raw_response: raif_model_completion.raw_response)

  if raif_model_completion.failed?
    # Failure detail (failure_error / failure_reason) lives on the model
    # completion; the task's `failed_at` is just a state marker.
    failed!
  else
    process_model_tool_invocations
    completed!
  end
  self
end

#prompt_studio_task_attributes ⇒ Hash

Returns additional attributes to assign when creating tasks in Prompt Studio (reruns, batch runs, and judge tasks). Override in your ApplicationTask or task subclass to include app-specific attributes.

Returns:

  • (Hash) —

    additional attributes to assign to the new task



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# File 'app/models/raif/task.rb', line 321

def prompt_studio_task_attributes
  {}
end

#re_run(&block) ⇒ Object 



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# File 'app/models/raif/task.rb', line 161

def re_run(&block)
  update_columns(started_at: Time.current)
  run(skip_prompt_population: true, &block)
end

#run(skip_prompt_population: false, &block) ⇒ Object 



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# File 'app/models/raif/task.rb', line 134

def run(skip_prompt_population: false, &block)
  update_columns(started_at: Time.current) if started_at.nil?

  populate_prompts unless skip_prompt_population

  streaming_block = if block_given?
    proc do |model_completion, delta, sse_event|
      update_columns(raw_response: model_completion.raw_response, updated_at: Time.current)
      block.call(model_completion, delta, sse_event)
    end
  end

  mc = llm.chat(
    messages: messages,
    source: self,
    system_prompt: system_prompt,
    response_format: response_format.to_sym,
    available_model_tools: available_model_tools,
    temperature: self.class.temperature,
    anthropic_prompt_caching_enabled: self.class.anthropic_prompt_caching_enabled,
    bedrock_prompt_caching_enabled: self.class.bedrock_prompt_caching_enabled,
    &streaming_block
  )

  process_completion!(mc)
end

#status ⇒ Object 



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# File 'app/models/raif/task.rb', line 81

def status
  if completed_at?
    :completed
  elsif failed_at?
    :failed
  elsif started_at?
    :in_progress
  else
    :pending
  end
end