Add RALPH-loop recipe to Copilot SDK cookbook

Add iterative RALPH-loop (Read, Act, Log, Persist, Halt) pattern
implementations for all four supported languages:

- C#/.NET: ralph-loop.cs with documentation
- Node.js/TypeScript: ralph-loop.ts with documentation
- Python: ralph_loop.py with documentation (async API)
- Go: ralph-loop.go with documentation

Each recipe demonstrates:
- Self-referential iteration where AI reviews its own output
- Completion promise detection to halt the loop
- Max iteration safety limits
- File persistence between iterations

Verified against real Copilot SDK APIs:
- Python: fully verified end-to-end with github-copilot-sdk
- Node.js: fully verified end-to-end with @github/copilot-sdk
- C#: compiles and runs successfully with GitHub.Copilot.SDK
- Go: compiles against github.com/github/copilot-sdk/go v0.1.23
This commit is contained in:
Anthony Shaw
2026-02-11 04:59:20 -08:00
parent 4555fee5d2
commit d8fc473383
9 changed files with 1403 additions and 1 deletions

View File

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#!/usr/bin/env python3
import asyncio
from copilot import CopilotClient, MessageOptions, SessionConfig
class RalphLoop:
"""
RALPH-loop implementation: Iterative self-referential AI loops.
The same prompt is sent repeatedly, with AI reading its own previous output.
Loop continues until completion promise is detected in the response.
"""
def __init__(self, max_iterations=10, completion_promise="COMPLETE"):
"""Initialize RALPH-loop with iteration limits and completion detection."""
self.client = CopilotClient()
self.iteration = 0
self.max_iterations = max_iterations
self.completion_promise = completion_promise
self.last_response = None
async def run(self, initial_prompt):
"""
Run the RALPH-loop until completion promise is detected or max iterations reached.
"""
await self.client.start()
session = await self.client.create_session(
SessionConfig(model="gpt-5.1-codex-mini")
)
try:
while self.iteration < self.max_iterations:
self.iteration += 1
print(f"\n=== Iteration {self.iteration}/{self.max_iterations} ===")
current_prompt = self._build_iteration_prompt(initial_prompt)
print(f"Sending prompt (length: {len(current_prompt)})...")
result = await session.send_and_wait(
MessageOptions(prompt=current_prompt),
timeout=300,
)
self.last_response = result.data.content if result else ""
# Display response summary
summary = (
self.last_response[:200] + "..."
if len(self.last_response) > 200
else self.last_response
)
print(f"Response: {summary}")
# Check for completion promise
if self.completion_promise in self.last_response:
print(
f"\n✓ Success! Completion promise detected: '{self.completion_promise}'"
)
return self.last_response
print(
f"Iteration {self.iteration} complete. Checking for next iteration..."
)
raise RuntimeError(
f"Maximum iterations ({self.max_iterations}) reached without "
f"detecting completion promise: '{self.completion_promise}'"
)
except Exception as e:
print(f"\nError during RALPH-loop: {e}")
raise
finally:
await session.destroy()
await self.client.stop()
def _build_iteration_prompt(self, initial_prompt):
"""Build the prompt for the current iteration, including previous output as context."""
if self.iteration == 1:
return initial_prompt
return f"""{initial_prompt}
=== CONTEXT FROM PREVIOUS ITERATION ===
{self.last_response}
=== END CONTEXT ===
Continue working on this task. Review the previous attempt and improve upon it."""
async def main():
"""Example usage demonstrating RALPH-loop."""
prompt = """You are iteratively building a small library. Follow these phases IN ORDER.
Do NOT skip ahead — only do the current phase, then stop and wait for the next iteration.
Phase 1: Design a DataValidator class that validates records against a schema.
- Schema defines field names, types (str, int, float, bool), and whether required.
- Return a list of validation errors per record.
- Show the class code only. Do NOT output COMPLETE.
Phase 2: Write at least 4 unit tests covering: missing required field, wrong type,
valid record, and empty input. Show test code only. Do NOT output COMPLETE.
Phase 3: Review the code from phases 1 and 2. Fix any bugs, add docstrings, and add
an extra edge-case test. Show the final consolidated code with all fixes.
When this phase is fully done, output the exact text: COMPLETE"""
loop = RalphLoop(max_iterations=5, completion_promise="COMPLETE")
try:
result = await loop.run(prompt)
print("\n=== FINAL RESULT ===")
print(result)
except RuntimeError as e:
print(f"\nTask did not complete: {e}")
if loop.last_response:
print(f"\nLast attempt:\n{loop.last_response}")
if __name__ == "__main__":
asyncio.run(main())