deepseek-ai/deepseek-harness · error · LlmError

INVALID_PREPARED_CALL

INVALID_PREPARED_CALL

Error message

a prepared LLM call can only be dispatched once

What it means

Error "a prepared LLM call can only be dispatched once" thrown in deepseek-ai/deepseek-harness.

Source

Thrown at packages/llm/llm/src/index.ts:852

      ...config.reasoningEffort === undefined && resolvedConfig.reasoningEffort !== undefined
        ? { reasoningEffort: true }
        : {},
      ...config.maxTokens === undefined && resolvedConfig.maxTokens !== undefined
        ? { maxTokens: true }
        : {},
    })
    let dispatched = false
    return Object.freeze({
      config: resolvedConfig,
      retryPolicy: registration.retryPolicy,
      adapterDefaults,
      ...context === undefined ? {} : { context },
      ...modelInfo.inputModalities === undefined
        ? {}
        : { inputModalities: Object.freeze([...modelInfo.inputModalities]) },
      stream: (options: GenerateOptions): AsyncIterable<StreamChunk> => {
        if (dispatched) {
          throw new LlmError('a prepared LLM call can only be dispatched once', 'INVALID_PREPARED_CALL')
        }
        if (!callConfigEquals(options, resolvedConfig)) {
          throw new LlmError(
            'prepared LLM call config changed before adapter dispatch',
            'INVALID_PREPARED_CALL',
          )
        }
        dispatched = true
        return this.streamWithRegistration(options, {
          registration,
          config: resolvedConfig,
          modelInfo,
          dispatch: options => adapterCall.stream(options),
        })
      },
    })
  }

View on GitHub (pinned to b150a551b8)

Solutions

1. Prepare a new LLM call instead of dispatching the same prepared call twice.

When it happens

Trigger: Thrown at packages/llm/llm/src/index.ts:852 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of deepseek-ai/deepseek-harness@b150a551b8 (2026-08-24). Data as JSON: /api/errors/1abcb70978314d4d. Report an issue: GitHub.