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https://github.com/github/awesome-copilot.git
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
@@ -87,4 +87,4 @@ go run <filename>.go
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## Status
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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.
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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.
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@@ -5,8 +5,8 @@ Implement self-referential feedback loops where an AI agent iteratively improves
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> **Runnable example:** [recipe/ralph-loop.cs](recipe/ralph-loop.cs)
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>
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> ```bash
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> cd dotnet/recipe
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> dotnet run ralph-loop.cs
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> cd dotnet
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> dotnet run recipe/ralph-loop.cs
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> ```
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## What is RALPH-loop?
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@@ -5,8 +5,8 @@ Implement self-referential feedback loops where an AI agent iteratively improves
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> **Runnable example:** [recipe/ralph-loop.go](recipe/ralph-loop.go)
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>
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> ```bash
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> cd go/recipe
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> go run ralph-loop.go
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> cd go
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> go run recipe/ralph-loop.go
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> ```
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## What is RALPH-loop?
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@@ -20,13 +20,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
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## Example Scenario
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You need to iteratively improve code until all tests pass. Instead of asking Claude to "write perfect code," you use RALPH-loop to:
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You need to iteratively improve code until all tests pass. Instead of asking Copilot to "write perfect code," you use RALPH-loop to:
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1. Send the initial prompt with clear success criteria
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2. Claude writes code and tests
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3. Claude runs tests and sees failures
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2. Copilot writes code and tests
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3. Copilot runs tests and sees failures
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4. Loop automatically re-sends the prompt
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5. Claude reads test output and previous code, fixes issues
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5. Copilot reads test output and previous code, fixes issues
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6. Repeat until all tests pass and completion promise is output
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## Basic Implementation
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@@ -5,8 +5,7 @@ Implement self-referential feedback loops where an AI agent iteratively improves
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> **Runnable example:** [recipe/ralph-loop.ts](recipe/ralph-loop.ts)
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>
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> ```bash
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> cd nodejs/recipe
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> npm install
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> cd recipe && npm install
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> npx tsx ralph-loop.ts
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> ```
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@@ -21,13 +20,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
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## Example Scenario
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You need to iteratively improve code until all tests pass. Instead of asking Claude to "write perfect code," you use RALPH-loop to:
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You need to iteratively improve code until all tests pass. Instead of asking Copilot to "write perfect code," you use RALPH-loop to:
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1. Send the initial prompt with clear success criteria
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2. Claude writes code and tests
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3. Claude runs tests and sees failures
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2. Copilot writes code and tests
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3. Copilot runs tests and sees failures
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4. Loop automatically re-sends the prompt
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5. Claude reads test output and previous code, fixes issues
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5. Copilot reads test output and previous code, fixes issues
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6. Repeat until all tests pass and completion promise is output
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## Basic Implementation
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@@ -22,47 +22,54 @@ class RalphLoop {
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* Run the RALPH-loop until completion promise is detected or max iterations reached.
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*/
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async run(initialPrompt: string): Promise<string> {
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let session: Awaited<ReturnType<CopilotClient["createSession"]>> | null = null;
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await this.client.start();
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const session = await this.client.createSession({
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model: "gpt-5.1-codex-mini"
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});
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try {
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while (this.iteration < this.maxIterations) {
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this.iteration++;
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console.log(`\n=== Iteration ${this.iteration}/${this.maxIterations} ===`);
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session = await this.client.createSession({
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model: "gpt-5.1-codex-mini"
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});
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// Build the prompt for this iteration
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const currentPrompt = this.buildIterationPrompt(initialPrompt);
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console.log(`Sending prompt (length: ${currentPrompt.length})...`);
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try {
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while (this.iteration < this.maxIterations) {
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this.iteration++;
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console.log(`\n=== Iteration ${this.iteration}/${this.maxIterations} ===`);
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const response = await session.sendAndWait({ prompt: currentPrompt }, 300_000);
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this.lastResponse = response?.data.content || "";
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// Build the prompt for this iteration
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const currentPrompt = this.buildIterationPrompt(initialPrompt);
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console.log(`Sending prompt (length: ${currentPrompt.length})...`);
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// Display response summary
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const summary = this.lastResponse.length > 200
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? this.lastResponse.substring(0, 200) + "..."
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: this.lastResponse;
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console.log(`Response: ${summary}`);
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const response = await session.sendAndWait({ prompt: currentPrompt }, 300_000);
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this.lastResponse = response?.data.content || "";
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// Check for completion promise
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if (this.lastResponse.includes(this.completionPromise)) {
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console.log(`\n✓ Success! Completion promise detected: '${this.completionPromise}'`);
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return this.lastResponse;
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// Display response summary
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const summary = this.lastResponse.length > 200
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? this.lastResponse.substring(0, 200) + "..."
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: this.lastResponse;
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console.log(`Response: ${summary}`);
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// Check for completion promise
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if (this.lastResponse.includes(this.completionPromise)) {
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console.log(`\n✓ Success! Completion promise detected: '${this.completionPromise}'`);
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return this.lastResponse;
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}
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console.log(`Iteration ${this.iteration} complete. Checking for next iteration...`);
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}
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console.log(`Iteration ${this.iteration} complete. Checking for next iteration...`);
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// Max iterations reached without completion
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throw new Error(
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`Maximum iterations (${this.maxIterations}) reached without detecting completion promise: '${this.completionPromise}'`
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);
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} catch (error) {
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console.error(`\nError during RALPH-loop: ${error instanceof Error ? error.message : String(error)}`);
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throw error;
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} finally {
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if (session) {
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await session.destroy();
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}
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}
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// Max iterations reached without completion
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throw new Error(
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`Maximum iterations (${this.maxIterations}) reached without detecting completion promise: '${this.completionPromise}'`
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);
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} catch (error) {
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console.error(`\nError during RALPH-loop: ${error instanceof Error ? error.message : String(error)}`);
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throw error;
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} finally {
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await session.destroy();
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await this.client.stop();
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}
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}
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@@ -5,11 +5,9 @@ Implement self-referential feedback loops where an AI agent iteratively improves
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> **Runnable example:** [recipe/ralph_loop.py](recipe/ralph_loop.py)
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>
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> ```bash
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> cd python/recipe
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> pip install -r requirements.txt
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> cd recipe && pip install -r requirements.txt
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> python ralph_loop.py
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> ```
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## What is RALPH-loop?
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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:
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@@ -21,13 +19,13 @@ RALPH-loop is a development methodology for iterative AI-powered task completion
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## Example Scenario
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You need to iteratively improve code until all tests pass. Instead of asking Claude to "write perfect code," you use RALPH-loop to:
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You need to iteratively improve code until all tests pass. Instead of asking Copilot to "write perfect code," you use RALPH-loop to:
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1. Send the initial prompt with clear success criteria
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2. Claude writes code and tests
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3. Claude runs tests and sees failures
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2. Copilot writes code and tests
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3. Copilot runs tests and sees failures
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4. Loop automatically re-sends the prompt
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5. Claude reads test output and previous code, fixes issues
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5. Copilot reads test output and previous code, fixes issues
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6. Repeat until all tests pass and completion promise is output
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## Basic Implementation
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@@ -25,55 +25,59 @@ class RalphLoop:
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"""
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Run the RALPH-loop until completion promise is detected or max iterations reached.
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"""
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session = None
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await self.client.start()
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session = await self.client.create_session(
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SessionConfig(model="gpt-5.1-codex-mini")
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)
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try:
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while self.iteration < self.max_iterations:
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self.iteration += 1
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print(f"\n=== Iteration {self.iteration}/{self.max_iterations} ===")
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current_prompt = self._build_iteration_prompt(initial_prompt)
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print(f"Sending prompt (length: {len(current_prompt)})...")
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result = await session.send_and_wait(
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MessageOptions(prompt=current_prompt),
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timeout=300,
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)
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self.last_response = result.data.content if result else ""
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# Display response summary
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summary = (
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self.last_response[:200] + "..."
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if len(self.last_response) > 200
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else self.last_response
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)
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print(f"Response: {summary}")
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# Check for completion promise
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if self.completion_promise in self.last_response:
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print(
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f"\n✓ Success! Completion promise detected: '{self.completion_promise}'"
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)
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return self.last_response
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print(
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f"Iteration {self.iteration} complete. Checking for next iteration..."
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)
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raise RuntimeError(
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f"Maximum iterations ({self.max_iterations}) reached without "
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f"detecting completion promise: '{self.completion_promise}'"
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session = await self.client.create_session(
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SessionConfig(model="gpt-5.1-codex-mini")
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)
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except Exception as e:
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print(f"\nError during RALPH-loop: {e}")
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raise
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try:
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while self.iteration < self.max_iterations:
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self.iteration += 1
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print(f"\n=== Iteration {self.iteration}/{self.max_iterations} ===")
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current_prompt = self._build_iteration_prompt(initial_prompt)
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print(f"Sending prompt (length: {len(current_prompt)})...")
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result = await session.send_and_wait(
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MessageOptions(prompt=current_prompt),
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timeout=300,
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)
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self.last_response = result.data.content if result else ""
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# Display response summary
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summary = (
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self.last_response[:200] + "..."
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if len(self.last_response) > 200
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else self.last_response
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)
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print(f"Response: {summary}")
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# Check for completion promise
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if self.completion_promise in self.last_response:
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print(
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f"\n✓ Success! Completion promise detected: '{self.completion_promise}'"
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)
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return self.last_response
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print(
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f"Iteration {self.iteration} complete. Checking for next iteration..."
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)
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raise RuntimeError(
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f"Maximum iterations ({self.max_iterations}) reached without "
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f"detecting completion promise: '{self.completion_promise}'"
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)
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except Exception as e:
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print(f"\nError during RALPH-loop: {e}")
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raise
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finally:
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if session is not None:
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await session.destroy()
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finally:
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await session.destroy()
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await self.client.stop()
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def _build_iteration_prompt(self, initial_prompt):
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