Aplicar parches

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42from openai import OpenAI

client = OpenAI()

# For brevity, we are including file context in the example input.
# Most agentic use cases should instead equip the model with tools
# for exploring file system state.
RESPONSE_INPUT = """
The user has the following files:
<BEGIN_FILES>
===== lib/fib.py
def fib(n):
    if n <= 1:
        return n
    return fib(n-1) + fib(n-2)

===== run.py
from lib.fib import fib

def main():
  print(fib(42))
<END_FILES>

You are a helpful coding assistant that should assist the user with whatever they
ask.

User query:
Help me rename the fib() function to fibonacci()
"""

response = client.responses.create(
    model="gpt-6-astra",
    input=RESPONSE_INPUT,
    tools=[{"type": "apply_patch"}],
)

# response.output may contain multiple apply_patch_call entries, e.g.:
# - update lib/fib.py
# - update run.py
patch_calls = [
    item.model_dump() for item in response.output if item.type == "apply_patch_call"
]

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14response, err := client.Responses.New(context.Background(), responses.ResponseNewParams{
	Model: "gpt-6-astra",
	Input: responses.ResponseNewParamsInputUnion{OfString: openai.String(responseInput)},
	Tools: []responses.ToolUnionParam{{OfApplyPatch: &responses.ApplyPatchToolParam{}}},
})
if err != nil {
	panic(err)
}
patchCalls := make([]responses.ResponseOutputItemUnion, 0)
for _, item := range response.Output {
	if item.Type == "apply_patch_call" {
		patchCalls = append(patchCalls, item)
	}
}

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16import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.ApplyPatchTool;
import com.openai.models.responses.ResponseCreateParams;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("gpt-6-astra")
        .input(
            "Rename fib() to fibonacci() in lib/fib.py and update run.py to use the new name.")
        .addTool(ApplyPatchTool.builder().build())
        .build();

client.responses().create(params).output().stream()
    .flatMap(item -> item.applyPatchCall().stream())
    .forEach(System.out::println);

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11require "openai"

client = OpenAI::Client.new
response = client.responses.create(
  model: "gpt-6-astra",
  input: "Rename fib() to fibonacci() in lib/fib.py and update run.py to use the new name.",
  tools: [{ type: :apply_patch }]
)

patch_calls = response.output.select { |item| item.type == :apply_patch_call }
puts(patch_calls)

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22from apply_patch_harness import apply_operation  # your implementation

results = []
for call in patch_calls:
    op = call["operation"]
    success, maybe_log_output = apply_operation(op)

    results.append(
        {
            "type": "apply_patch_call_output",
            "call_id": call["call_id"],
            "status": "completed" if success else "failed",
            "output": maybe_log_output,
        }
    )

followup = client.responses.create(
    model="gpt-6-astra",
    previous_response_id=response.id,
    input=results,
    tools=[{"type": "apply_patch"}],
)

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20results := make(responses.ResponseInputParam, 0, len(patchCalls))
for _, call := range patchCalls {
	success, logOutput := applyOperation(call.Operation)
	status := "completed"
	if !success {
		status = "failed"
	}
	result := responses.ResponseInputItemParamOfApplyPatchCallOutput(call.CallID, status)
	result.OfApplyPatchCallOutput.Output = openai.String(logOutput)
	results = append(results, result)
}
_, err = client.Responses.New(context.Background(), responses.ResponseNewParams{
	Model:              "gpt-6-astra",
	PreviousResponseID: openai.String(response.ID),
	Input:              responses.ResponseNewParamsInputUnion{OfInputItemList: results},
	Tools:              []responses.ToolUnionParam{{OfApplyPatch: &responses.ApplyPatchToolParam{}}},
})
if err != nil {
	panic(err)
}

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27import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.ApplyPatchTool;
import com.openai.models.responses.ResponseCreateParams;
import com.openai.models.responses.ResponseInputItem;
import java.util.List;

ResponseCreateParams params =
    ResponseCreateParams.builder()
        .model("gpt-6-astra")
        .inputOfResponse(
            List.of(
                ResponseInputItem.ofApplyPatchCallOutput(
                    ResponseInputItem.ApplyPatchCallOutput.builder()
                        .callId(System.getenv("OPENAI_EXAMPLE_APPLY_PATCH_CALL_ID"))
                        .status(ResponseInputItem.ApplyPatchCallOutput.Status.COMPLETED)
                        .output("Patch applied successfully.")
                        .build())))
        .previousResponseId(System.getenv("OPENAI_EXAMPLE_PREVIOUS_RESPONSE_ID"))
        .addTool(ApplyPatchTool.builder().build())
        .build();

client.responses().create(params).output().stream()
    .flatMap(item -> item.message().stream())
    .flatMap(message -> message.content().stream())
    .flatMap(content -> content.outputText().stream())
    .forEach(text -> System.out.println(text.text()));

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20require "openai"

client = OpenAI::Client.new
response_id = ENV.fetch("OPENAI_RESPONSE_ID")
patch_call_id = ENV.fetch("OPENAI_APPLY_PATCH_CALL_ID")
response = client.responses.create(
  model: "gpt-6-astra",
  previous_response_id: response_id,
  input: [
    {
      type: :apply_patch_call_output,
      call_id: patch_call_id,
      status: :completed,
      output: "Patch applied successfully."
    }
  ],
  tools: [{ type: :apply_patch }]
)

puts(response.output_text)

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54from agents import Agent, ApplyPatchTool, Runner, apply_diff


class WorkspaceEditor:
    async def create_file(self, operation):
        # convert the diff to the file content
        content = apply_diff("", operation.diff, mode="create")
        # write the file content to the file system
        return {"status": "completed", "output": f"Created {operation.path}"}

    async def update_file(self, operation):
        # read the file content from the file system
        current = ""
        # convert the diff to the new file content
        new_content = apply_diff(current, operation.diff)
        # write the updated file content to the file system
        return {"status": "completed", "output": f"Updated {operation.path}"}

    async def delete_file(self, operation):
        # delete the file from the file system
        return {"status": "completed", "output": f"Deleted {operation.path}"}


editor = WorkspaceEditor()

agent = Agent(
    name="Patch Assistant",
    model="gpt-6-astra",
    instructions="You can edit files inside the /tmp directory using the apply_patch tool.",
    tools=[
        ApplyPatchTool(
            editor=editor,
            # could also be a function for you to determine if approval is needed
            needs_approval=True,
            # Implement your own approval logic
            on_approval=lambda _ctx, _approval_item: {"approve": True},
        ),
    ],
)


async def main():
    result = await Runner.run(
        agent,
        input="Create tasks.md with a shopping checklist of 5 entries.",
    )

    print(f"\nFinal response:\n{result.final_output}")


if __name__ == "__main__":
    import asyncio

    asyncio.run(main())