mirror of
https://github.com/github/awesome-copilot.git
synced 2026-02-20 02:15:12 +00:00
Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
@@ -5,11 +5,9 @@ Implement self-referential feedback loops where an AI agent iteratively improves
|
||||
> **Runnable example:** [recipe/ralph_loop.py](recipe/ralph_loop.py)
|
||||
>
|
||||
> ```bash
|
||||
> cd python/recipe
|
||||
> pip install -r requirements.txt
|
||||
> cd recipe && pip install -r requirements.txt
|
||||
> python ralph_loop.py
|
||||
> ```
|
||||
|
||||
## What is RALPH-loop?
|
||||
|
||||
RALPH-loop is a development methodology for iterative AI-powered task completion. Named after the Ralph Wiggum technique, it embodies the philosophy of persistent iteration:
|
||||
@@ -21,13 +19,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
|
||||
|
||||
## Example Scenario
|
||||
|
||||
You need to iteratively improve code until all tests pass. Instead of asking Claude to "write perfect code," you use RALPH-loop to:
|
||||
You need to iteratively improve code until all tests pass. Instead of asking Copilot to "write perfect code," you use RALPH-loop to:
|
||||
|
||||
1. Send the initial prompt with clear success criteria
|
||||
2. Claude writes code and tests
|
||||
3. Claude runs tests and sees failures
|
||||
2. Copilot writes code and tests
|
||||
3. Copilot runs tests and sees failures
|
||||
4. Loop automatically re-sends the prompt
|
||||
5. Claude reads test output and previous code, fixes issues
|
||||
5. Copilot reads test output and previous code, fixes issues
|
||||
6. Repeat until all tests pass and completion promise is output
|
||||
|
||||
## Basic Implementation
|
||||
|
||||
@@ -25,55 +25,59 @@ class RalphLoop:
|
||||
"""
|
||||
Run the RALPH-loop until completion promise is detected or max iterations reached.
|
||||
"""
|
||||
session = None
|
||||
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}'"
|
||||
session = await self.client.create_session(
|
||||
SessionConfig(model="gpt-5.1-codex-mini")
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
print(f"\nError during RALPH-loop: {e}")
|
||||
raise
|
||||
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:
|
||||
if session is not None:
|
||||
await session.destroy()
|
||||
finally:
|
||||
await session.destroy()
|
||||
await self.client.stop()
|
||||
|
||||
def _build_iteration_prompt(self, initial_prompt):
|
||||
|
||||
Reference in New Issue
Block a user