批次處理 API

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9from openai import OpenAI

client = OpenAI()

batch_input_file = client.files.create(
    file=open("batchinput.jsonl", "rb"), purpose="batch"
)

print(batch_input_file)

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27package main

import (
	"context"
	"fmt"
	"os"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	file, err := os.Open("batchinput.jsonl")
	if err != nil {
		panic(err)
	}
	defer file.Close()

	uploaded, err := client.Files.New(context.Background(), openai.FileNewParams{
		File:    file,
		Purpose: openai.FilePurposeBatch,
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(uploaded.ID)
}

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16import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.files.FileCreateParams;
import com.openai.models.files.FilePurpose;
import java.nio.file.Path;

var file =
    client
        .files()
        .create(
            FileCreateParams.builder()
                .file(Path.of(System.getenv("OPENAI_EXAMPLE_FILE_PATH")))
                .purpose(FilePurpose.BATCH)
                .build());

System.out.println(file.id());

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7require "openai"
require "pathname"

client = OpenAI::Client.new
file = Pathname("batchinput.jsonl")
uploaded = client.files.create(file: file, purpose: :batch)
puts(uploaded.id)

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4curl https://api.openai.com/v1/files \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -F purpose="batch" \
  -F file="@batchinput.jsonl"

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3openai files create \
  --file batchinput.jsonl \
  --purpose batch

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7batch = client.batches.create(
    input_file_id=batch_input_file.id,
    endpoint="/v1/chat/completions",
    completion_window="24h",
    metadata={"description": "nightly eval job"},
)
print(batch)

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21package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	batch, err := client.Batches.New(context.Background(), openai.BatchNewParams{
		InputFileID:      "file-abc123",
		Endpoint:         openai.BatchNewParamsEndpointV1ChatCompletions,
		CompletionWindow: openai.BatchNewParamsCompletionWindow24h,
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(batch.ID)
}

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17import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.batches.BatchCreateParams;

String fileId = "file-abc123";

var batch =
    client
        .batches()
        .create(
            BatchCreateParams.builder()
                .inputFileId(fileId)
                .endpoint(BatchCreateParams.Endpoint.V1_RESPONSES)
                .completionWindow(BatchCreateParams.CompletionWindow._24H)
                .build());

System.out.println(batch.id());

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5require "openai"

client = OpenAI::Client.new
batch = client.batches.create(input_file_id: "file-abc123", endpoint: "/v1/responses", completion_window: "24h")
puts(batch.id)

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8curl https://api.openai.com/v1/batches \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

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4openai batches create \
  --input-file-id file-abc123 \
  --endpoint /v1/chat/completions \
  --completion-window 24h

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2batch = client.batches.retrieve(batch.id)
print(batch)

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17package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	batch, err := client.Batches.Get(context.Background(), "batch_abc123")
	if err != nil {
		panic(err)
	}
	fmt.Println(batch.Status)
}

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8import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;

String batchId = "batch_abc123";

var batch = client.batches().retrieve(batchId);

System.out.println(batch.status());

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5require "openai"

client = OpenAI::Client.new
batch = client.batches.retrieve("batch_abc123")
puts(batch.status)

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3curl https://api.openai.com/v1/batches/batch_abc123 \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json"

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2openai batches retrieve \
  --batch-id batch_abc123

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9# Replace the illustrative IDs and URLs below with your own resource values.

from openai import OpenAI

output_file_id = "file_123"
client = OpenAI()

file_response = client.files.content(output_file_id)
print(file_response.text)

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23package main

import (
	"context"
	"fmt"
	"io"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	response, err := client.Files.Content(context.Background(), "file-xyz123")
	if err != nil {
		panic(err)
	}
	defer response.Body.Close()
	contents, err := io.ReadAll(response.Body)
	if err != nil {
		panic(err)
	}
	fmt.Println(string(contents))
}

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14import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.http.HttpResponse;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardCopyOption;

String fileId = "file-xyz123";

try (HttpResponse content = client.files().content(fileId)) {
  Files.copy(
      content.body(), Path.of("batch_output.jsonl"), StandardCopyOption.REPLACE_EXISTING);
}

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5require "openai"

client = OpenAI::Client.new
content = client.files.content("file-xyz123")
puts(content.read)

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2curl https://api.openai.com/v1/files/file-xyz123/content \
  -H "Authorization: Bearer $OPENAI_API_KEY" > batch_output.jsonl

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3openai files content \
  --file-id file-xyz123 \
  --output batch_output.jsonl

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8# Replace the illustrative IDs and URLs below with your own resource values.

from openai import OpenAI

batch_id = "batch_123"
client = OpenAI()

client.batches.cancel(batch_id)

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17package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	batch, err := client.Batches.Cancel(context.Background(), "batch_abc123")
	if err != nil {
		panic(err)
	}
	fmt.Println(batch.Status)
}

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6import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;

String batchId = "batch_abc123";

System.out.println(client.batches().cancel(batchId).status());

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5require "openai"

client = OpenAI::Client.new
batch = client.batches.cancel("batch_abc123")
puts(batch.status)

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4curl https://api.openai.com/v1/batches/batch_abc123/cancel \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -X POST

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2openai batches cancel \
  --batch-id batch_abc123

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5from openai import OpenAI

client = OpenAI()

client.batches.list(limit=10)

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19package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	list := client.Batches.ListAutoPaging(context.Background(), openai.BatchListParams{Limit: openai.Int(10)})
	for list.Next() {
		fmt.Println(list.Current().ID)
	}
	if err := list.Err(); err != nil {
		panic(err)
	}
}

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9import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.batches.BatchListParams;

client
    .batches()
    .list(BatchListParams.builder().limit(10).build())
    .autoPager()
    .forEach(batch -> System.out.println(batch.id()));

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6require "openai"

client = OpenAI::Client.new
client.batches.list(limit: 10).auto_paging_each do |batch|
  puts(batch.id)
end

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3curl https://api.openai.com/v1/batches?limit=10 \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json"

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2openai batches list \
  --limit 10