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Program of Thought Module

Source: R/module-program-of-thought.R
module-program-of-thought.Rd

A module that generates R code to solve problems, executes it safely, and uses the execution results to produce answers. This is particularly effective for tasks requiring exact computation (arithmetic, statistics, data manipulation) where LLMs alone are unreliable.

Details

The execution flow is:

  1. LLM generates R code based on the inputs

  2. Code is executed in an isolated subprocess via RCodeRunner

  3. If execution fails, the error is fed back to the LLM for repair

  4. Steps 2-3 repeat until success or max_iters is reached

  5. Final answer is extracted from the execution result

Security: Code execution requires explicit opt-in via a runner parameter. The runner provides subprocess isolation but is NOT a security sandbox. For untrusted inputs, use OS-level sandboxing (containers, AppArmor).

Examples

if (FALSE) { # \dontrun{
# Create a runner (required for code execution)
runner <- r_code_runner(timeout = 30)

# Create a Program of Thought module
pot <- program_of_thought(
  signature = "question -> answer",
  runner = runner
)

# Use it for computation tasks
result <- run(pot, question = "What is the sum of primes under 100?", .llm = llm)
} # }