Claude Platform Docs

创建文本补全

Completion completions().create(params, requestOptions = RequestOptions.none())
POST/v1/complete

Deprecated: Use the Messages API instead.

[旧版] 创建文本补全。

Text Completions API 是旧版 API。我们建议今后使用 Messages API。

未来的模型和功能将不兼容 Text Completions。有关从 Text Completions 迁移到 Messages 的指导，请参阅我们的迁移指南。

Parameters
CompletionCreateParams params
Optional<String> workspaceId⁠Header parameter

Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).

Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.

long maxTokensToSample

The maximum number of tokens to generate before stopping.

Note that our models may stop before reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate.

minimum1
Model model

The model that will complete your prompt.

See models for additional details and options.

String prompt

The prompt that you want Claude to complete.

For proper response generation you will need to format your prompt using alternating `

Human:and

Assistant:` conversational turns. For example:

"

Human: {userQuestion}

Assistant:"

See prompt validation and our guide to prompt design for more details.

minLength1
Optional<Metadata> metadata

An object describing metadata about the request.

Optional<List<String>> stopSequences

Sequences that will cause the model to stop generating.

Our models stop on `"

Human:"`, and may include additional built-in stop sequences in the future. By providing the stop_sequences parameter, you may include additional strings that will cause the model to stop generating.

Optional<List<AnthropicBeta>> betas⁠Header parameterDeprecated

Optional header to specify the beta version(s) you want to use.

Deprecated. This parameter has no effect on this method and will be removed in a future release.
MESSAGE_BATCHES_2024_09_24("message-batches-2024-09-24")
PROMPT_CACHING_2024_07_31("prompt-caching-2024-07-31")
COMPUTER_USE_2024_10_22("computer-use-2024-10-22")
COMPUTER_USE_2025_01_24("computer-use-2025-01-24")
PDFS_2024_09_25("pdfs-2024-09-25")
TOKEN_COUNTING_2024_11_01("token-counting-2024-11-01")
TOKEN_EFFICIENT_TOOLS_2025_02_19("token-efficient-tools-2025-02-19")
OUTPUT_128K_2025_02_19("output-128k-2025-02-19")
FILES_API_2025_04_14("files-api-2025-04-14")
MCP_CLIENT_2025_04_04("mcp-client-2025-04-04")
MCP_CLIENT_2025_11_20("mcp-client-2025-11-20")
DEV_FULL_THINKING_2025_05_14("dev-full-thinking-2025-05-14")
INTERLEAVED_THINKING_2025_05_14("interleaved-thinking-2025-05-14")
CODE_EXECUTION_2025_05_22("code-execution-2025-05-22")
EXTENDED_CACHE_TTL_2025_04_11("extended-cache-ttl-2025-04-11")
CONTEXT_1M_2025_08_07("context-1m-2025-08-07")
CONTEXT_MANAGEMENT_2025_06_27("context-management-2025-06-27")
MODEL_CONTEXT_WINDOW_EXCEEDED_2025_08_26("model-context-window-exceeded-2025-08-26")
SKILLS_2025_10_02("skills-2025-10-02")
FAST_MODE_2026_02_01("fast-mode-2026-02-01")
OUTPUT_300K_2026_03_24("output-300k-2026-03-24")
USER_PROFILES_2026_03_24("user-profiles-2026-03-24")
USER_PROFILES_2026_08_18("user-profiles-2026-08-18")
USER_PROFILES_2026_09_04("user-profiles-2026-09-04")
ADVISOR_TOOL_2026_03_01("advisor-tool-2026-03-01")
MANAGED_AGENTS_2026_04_01("managed-agents-2026-04-01")
CACHE_DIAGNOSIS_2026_04_07("cache-diagnosis-2026-04-07")
DREAMING_2026_04_21("dreaming-2026-04-21")
THINKING_TOKEN_COUNT_2026_05_13("thinking-token-count-2026-05-13")
SERVER_SIDE_FALLBACK_2026_06_01("server-side-fallback-2026-06-01")
SERVER_SIDE_FALLBACK_2026_07_01("server-side-fallback-2026-07-01")
FALLBACK_CREDIT_2026_06_01("fallback-credit-2026-06-01")
FALLBACK_CREDIT_2026_07_01("fallback-credit-2026-07-01")
AGENT_MEMORY_2026_07_22("agent-memory-2026-07-22")
MID_CONVERSATION_TOOL_CHANGES_2026_07_01("mid-conversation-tool-changes-2026-07-01")
COMPACT_2026_01_12("compact-2026-01-12")
COMPUTER_USE_2025_11_24("computer-use-2025-11-24")
MCP_TUNNELS_2026_06_22("mcp-tunnels-2026-06-22")
STRUCTURED_OUTPUTS_2025_11_13("structured-outputs-2025-11-13")
TASK_BUDGETS_2026_03_13("task-budgets-2026-03-13")
THINKING_DISPLAY_UPDATES_2026_08_18("thinking-display-updates-2026-08-18")
CE_USER_MANAGEMENT_2026_07_13("ce-user-management-2026-07-13")
MID_CONVERSATION_OUTPUT_CONFIG_2026_07_01("mid-conversation-output-config-2026-07-01")
THINKING_BINDING_CONTROLS_2026_08_01("thinking-binding-controls-2026-08-01")
MID_CONVERSATION_SYSTEM_CLEAR_AT_2026_08_21("mid-conversation-system-clear-at-2026-08-21")
COMPACT_2026_09_04("compact-2026-09-04")
INLINE_TOOLS_2026_09_15("inline-tools-2026-09-15")
MCP_CLIENT_2026_09_15("mcp-client-2026-09-15")
CE_PLUGINS_2026_09_01("ce-plugins-2026-09-01")
SPEND_LIMIT_READS_2026_09_26("spend-limit-reads-2026-09-26")
TELEMETRY_DESTINATIONS_2026_08_11("telemetry-destinations-2026-08-11")
Optional<Double> temperature⁠Deprecated

Amount of randomness injected into the response.

Deprecated. Models released after Claude Opus 4.6 do not support setting temperature. A value of 1.0 will be accepted for backwards compatibility, all other values will be rejected with a 400 error.

Defaults to 1.0. Ranges from 0.0 to 1.0. Use temperature closer to 0.0 for analytical / multiple choice, and closer to 1.0 for creative and generative tasks.

Note that even with temperature of 0.0, the results will not be fully deterministic.

minimum0
maximum1
Optional<Long> topK⁠Deprecated

Only sample from the top K options for each subsequent token.

Deprecated. Models released after Claude Opus 4.6 do not accept top_k; any value will be rejected with a 400 error.

Used to remove "long tail" low probability responses. Learn more technical details here.

Recommended for advanced use cases only.

minimum0
Optional<Double> topP⁠Deprecated

Use nucleus sampling.

Deprecated. Models released after Claude Opus 4.6 do not support setting top_p. A value >= 0.99 will be accepted for backwards compatibility, all other values will be rejected with a 400 error.

In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by top_p.

Recommended for advanced use cases only.

minimum0
maximum1
Returns
class Completion { type = "completion"; id; completion; /* 2 more */ }
JsonValue type = "completion"

Object type.

For Text Completions, this is always "completion".

String id

Unique object identifier.

The format and length of IDs may change over time.

String completion

The resulting completion up to and excluding the stop sequences.

Model model

The model that will complete your prompt.

See models for additional details and options.

One of the following:
Optional<String> stopReason

The reason that we stopped.

This may be one the following values:

  • "stop_sequence": we reached a stop sequence — either provided by you via the stop_sequences parameter, or a stop sequence built into the model
  • "max_tokens": we exceeded max_tokens_to_sample or the model's maximum
创建文本补全
package com.anthropic.example;

import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.completions.Completion;
import com.anthropic.models.completions.CompletionCreateParams;
import com.anthropic.models.messages.Model;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        AnthropicClient client = AnthropicOkHttpClient.fromEnv();

        CompletionCreateParams params = CompletionCreateParams.builder()
            .maxTokensToSample(256L)
            .model(Model.CLAUDE_HAIKU_5_5)
            .prompt("\n\nHuman: Hello, world!\n\nAssistant:")
            .build();
        Completion completion = client.completions().create(params);
    }
}
Returns Examples
Response 200
{
  "id": "compl_018CKm6gsux7P8yMcwZbeCPw",
  "completion": " Hello! My name is Claude.",
  "model": "claude-2.1",
  "stop_reason": "stop_sequence",
  "type": "completion"
}