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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Anthony Shaw
2026-02-11 05:48:44 -08:00
committed by GitHub
parent d8fc473383
commit 7e39d55028
7 changed files with 105 additions and 97 deletions
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2
cookbook/copilot-sdk/README.md
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@@ -87,4 +87,4 @@ go run <filename>.go
## Status ## Status
Cookbook structure is complete with 5 recipes across all 4 supported languages. Each recipe includes both markdown documentation and runnable examples. The RALPH-loop recipe demonstrates iterative self-referential AI loops for autonomous task completion. Cookbook structure is complete with 6 recipes across all 4 supported languages. Each recipe includes both markdown documentation and runnable examples. The RALPH-loop recipe demonstrates iterative self-referential AI loops for autonomous task completion.

4
cookbook/copilot-sdk/dotnet/ralph-loop.md
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@@ -5,8 +5,8 @@ Implement self-referential feedback loops where an AI agent iteratively improves
> **Runnable example:** [recipe/ralph-loop.cs](recipe/ralph-loop.cs) > **Runnable example:** [recipe/ralph-loop.cs](recipe/ralph-loop.cs)
> >
> ```bash > ```bash
> cd dotnet/recipe > cd dotnet
> dotnet run ralph-loop.cs > dotnet run recipe/ralph-loop.cs
> ``` > ```
## What is RALPH-loop? ## What is RALPH-loop?

12
cookbook/copilot-sdk/go/ralph-loop.md
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@@ -5,8 +5,8 @@ Implement self-referential feedback loops where an AI agent iteratively improves
> **Runnable example:** [recipe/ralph-loop.go](recipe/ralph-loop.go) > **Runnable example:** [recipe/ralph-loop.go](recipe/ralph-loop.go)
> >
> ```bash > ```bash
> cd go/recipe > cd go
> go run ralph-loop.go > go run recipe/ralph-loop.go
> ``` > ```
## What is RALPH-loop? ## What is RALPH-loop?
@@ -20,13 +20,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
## Example Scenario ## 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 1. Send the initial prompt with clear success criteria
2. Claude writes code and tests 2. Copilot writes code and tests
3. Claude runs tests and sees failures 3. Copilot runs tests and sees failures
4. Loop automatically re-sends the prompt 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 6. Repeat until all tests pass and completion promise is output
## Basic Implementation ## Basic Implementation

11
cookbook/copilot-sdk/nodejs/ralph-loop.md
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@@ -5,8 +5,7 @@ Implement self-referential feedback loops where an AI agent iteratively improves
> **Runnable example:** [recipe/ralph-loop.ts](recipe/ralph-loop.ts) > **Runnable example:** [recipe/ralph-loop.ts](recipe/ralph-loop.ts)
> >
> ```bash > ```bash
> cd nodejs/recipe > cd recipe && npm install
> npm install
> npx tsx ralph-loop.ts > npx tsx ralph-loop.ts
> ``` > ```
@@ -21,13 +20,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
## Example Scenario ## 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 1. Send the initial prompt with clear success criteria
2. Claude writes code and tests 2. Copilot writes code and tests
3. Claude runs tests and sees failures 3. Copilot runs tests and sees failures
4. Loop automatically re-sends the prompt 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 6. Repeat until all tests pass and completion promise is output
## Basic Implementation ## Basic Implementation

69
cookbook/copilot-sdk/nodejs/recipe/ralph-loop.ts
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@@ -22,47 +22,54 @@ class RalphLoop {
* Run the RALPH-loop until completion promise is detected or max iterations reached. * Run the RALPH-loop until completion promise is detected or max iterations reached.
*/ */
async run(initialPrompt: string): Promise<string> { async run(initialPrompt: string): Promise<string> {
let session: Awaited<ReturnType<CopilotClient["createSession"]>> | null = null;
await this.client.start(); await this.client.start();
const session = await this.client.createSession({
model: "gpt-5.1-codex-mini"
});
try { try {
while (this.iteration < this.maxIterations) { session = await this.client.createSession({
this.iteration++; model: "gpt-5.1-codex-mini"
console.log(`\n=== Iteration ${this.iteration}/${this.maxIterations} ===`); });
// Build the prompt for this iteration try {
const currentPrompt = this.buildIterationPrompt(initialPrompt); while (this.iteration < this.maxIterations) {
console.log(`Sending prompt (length: ${currentPrompt.length})...`); this.iteration++;
console.log(`\n=== Iteration ${this.iteration}/${this.maxIterations} ===`);
const response = await session.sendAndWait({ prompt: currentPrompt }, 300_000); // Build the prompt for this iteration
this.lastResponse = response?.data.content || ""; const currentPrompt = this.buildIterationPrompt(initialPrompt);
console.log(`Sending prompt (length: ${currentPrompt.length})...`);
// Display response summary const response = await session.sendAndWait({ prompt: currentPrompt }, 300_000);
const summary = this.lastResponse.length > 200 this.lastResponse = response?.data.content || "";
? this.lastResponse.substring(0, 200) + "..."
: this.lastResponse;
console.log(`Response: ${summary}`);
// Check for completion promise // Display response summary
if (this.lastResponse.includes(this.completionPromise)) { const summary = this.lastResponse.length > 200
console.log(`\n✓ Success! Completion promise detected: '${this.completionPromise}'`); ? this.lastResponse.substring(0, 200) + "..."
return this.lastResponse; : this.lastResponse;
console.log(`Response: ${summary}`);
// Check for completion promise
if (this.lastResponse.includes(this.completionPromise)) {
console.log(`\n✓ Success! Completion promise detected: '${this.completionPromise}'`);
return this.lastResponse;
}
console.log(`Iteration ${this.iteration} complete. Checking for next iteration...`);
} }
console.log(`Iteration ${this.iteration} complete. Checking for next iteration...`); // Max iterations reached without completion
throw new Error(
`Maximum iterations (${this.maxIterations}) reached without detecting completion promise: '${this.completionPromise}'`
);
} catch (error) {
console.error(`\nError during RALPH-loop: ${error instanceof Error ? error.message : String(error)}`);
throw error;
} finally {
if (session) {
await session.destroy();
}
} }
// Max iterations reached without completion
throw new Error(
`Maximum iterations (${this.maxIterations}) reached without detecting completion promise: '${this.completionPromise}'`
);
} catch (error) {
console.error(`\nError during RALPH-loop: ${error instanceof Error ? error.message : String(error)}`);
throw error;
} finally { } finally {
await session.destroy();
await this.client.stop(); await this.client.stop();
} }
} }

12
cookbook/copilot-sdk/python/ralph-loop.md
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@@ -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) > **Runnable example:** [recipe/ralph_loop.py](recipe/ralph_loop.py)
> >
> ```bash > ```bash
> cd python/recipe > cd recipe && pip install -r requirements.txt
> pip install -r requirements.txt
> python ralph_loop.py > python ralph_loop.py
> ``` > ```
## What is RALPH-loop? ## 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: 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 ## 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 1. Send the initial prompt with clear success criteria
2. Claude writes code and tests 2. Copilot writes code and tests
3. Claude runs tests and sees failures 3. Copilot runs tests and sees failures
4. Loop automatically re-sends the prompt 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 6. Repeat until all tests pass and completion promise is output
## Basic Implementation ## Basic Implementation

92
cookbook/copilot-sdk/python/recipe/ralph_loop.py
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@@ -25,55 +25,59 @@ class RalphLoop:
""" """
Run the RALPH-loop until completion promise is detected or max iterations reached. Run the RALPH-loop until completion promise is detected or max iterations reached.
""" """
session = None
await self.client.start() await self.client.start()
session = await self.client.create_session(
SessionConfig(model="gpt-5.1-codex-mini")
)
try: try:
while self.iteration < self.max_iterations: session = await self.client.create_session(
self.iteration += 1 SessionConfig(model="gpt-5.1-codex-mini")
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: try:
print(f"\nError during RALPH-loop: {e}") while self.iteration < self.max_iterations:
raise 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: finally:
await session.destroy()
await self.client.stop() await self.client.stop()
def _build_iteration_prompt(self, initial_prompt): def _build_iteration_prompt(self, initial_prompt):