NEWS

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mini007 0.6.0

Parallel Station Execution for Workflows

Major feature addition enabling 2-4x speedup for independent processing units.

New Methods:

• $set_daemons(n) — Configure n parallel worker processes using mirai package
• $add_parallel_group(from, stations, to, merge_fn) — Define stations to execute concurrently
  • from: predecessor station
  • stations: vector of station names to run in parallel
  • to: optional successor station (receives merged results)
  • merge_fn: custom function to combine parallel results (default: newline concatenation)

Enhanced Methods:

• $visualize() — Now displays parallel routes in red with ∥ symbol to distinguish from sequential routes

Use Cases:

• Multi-agent analysis (e.g., technical, business, UX perspectives in parallel)
• Parallel tool calling and independent data transformations
• Ensemble model voting and comparison
• Significant latency reduction for embarrassingly parallel workflows

Performance:

• 3 parallel agents: ~3x faster than sequential execution
• Compatible with existing caching, retry, fallback, and HITL features
• Full integration with Agent and WorkflowAgent handlers

Documentation:

• Comprehensive parallel stations section in workflow.qmd with working example
• Real-world example in example_real_llm.R demonstrating 3 parallel agents analyzing "AI in Healthcare"
• Updated README.Rmd with parallel execution overview

Technical Details:

• Built on mirai package for reliable async execution
• Each parallel station inherits retry/fallback configuration
• Parallel results automatically cached with same mechanism as sequential stations
• Graceful daemon cleanup and reinitialization

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mini007 0.5.0

• Adding the per-station retry features to the Workflow class
• Adding the fallback handlers to the Workflow class

mini007 0.4.0 (2026-05-27)

Implementing the Workflow class which allows one to have full control over a workflow of agents

Adding new methods:

• share_context_with()

mini007 0.3.0 (2026-01-12)

Adding new methods to work with tools:

• register_tools()
• list_tools()
• remove_tools()
• clear_tools()
• generate_and_register_tool()

Adding the agents_dialog() methods that allows 2 agents to interact with each other in order to come up with a better outcome.

mini007 0.2.2 (2025-12-04)

• Fixing syncing issues between mini007 and ellmer

Adding the following new methods:

• validate_response()
• clone_agent()

Deletion

• Deleting the visualize_plan() method as the DiagrammeR package has many dependencies.
• Deleting the add_message method for compatibility with ellmer Turns

Dependency

• Adding ellmer as an import dependency.

mini007 0.2.1 (2025-11-03)

• Fixing bug in the generate_execute_r_code() method.

mini007 0.2.0 (2025-10-29)

• Setting messages as an active R6 field. It is now possible to modify the messages that will be used by the LLM object through a list object. The list object will be automatically converted to the corresponding ellmer Turns.

Adding the following new methods:

• keep_last_n_messages()
• update_instruction()
• clear_and_summarise_messages()
• judge_and_choose_best_response()
• set_budget()
• export_messages_history() and load_messages_history()
• reset_conversation_history()
• add_message()
• generate_execute_r_code()
• visualize_plan()
• set_budget_policy()

Adding the following new parameters:

• Adding the force_regenerate_plan boolean parameter to the invoke method of the LeadAgent, this will allow taking into account if the LeadAgent has already generated a plan or not. If a plan is detected, no need to generate the plan from scratch, except if the user set the force_generate_plan to TRUE.

Deleting the following method:

• delegate_prompt(), not needed anymore as the generate_plan() method has the same behavior.

mini007 0.1.0 (2025-09-05)

• Initial CRAN submission.