Method completePrompt

src/api/providers/bedrock.ts:801–893

(prompt: string)

	}

	async completePrompt(prompt: string): Promise<string> {
		try {
			const modelConfig = this.getModel()

			// For completePrompt, thinking is typically not used, but we should still check
			// if thinking was somehow enabled in the model config
			const thinkingEnabled =
				shouldUseReasoningBudget({ model: modelConfig.info, settings: this.options }) &&
				modelConfig.reasoning &&
				modelConfig.reasoningBudget

			const inferenceConfig: BedrockInferenceConfig = {
				maxTokens: modelConfig.maxTokens || (modelConfig.info.maxTokens as number),
				// Claude 4.7+ (including 4.8) removed sampling parameters entirely —
				// sending temperature causes a 400 error. Guard the non-stream path the
				// same way createMessage does so completePrompt also works for these models.
				...(this.isAdaptiveThinkingModel(modelConfig.id)
					? {}
					: { temperature: modelConfig.temperature ?? (this.options.modelTemperature as number) }),
			}

			// For completePrompt, use a unique conversation ID based on the prompt
			const conversationId = `prompt_${prompt.substring(0, 20)}`

			const payload = {
				modelId: modelConfig.id,
				messages: this.convertToBedrockConverseMessages(
					[
						{
							role: "user",
							content: prompt,
						},
					],
					undefined,
					false,
					modelConfig.info,
					conversationId,
				).messages,
				inferenceConfig,
			}

			const command = new ConverseCommand(payload)
			const response = await this.client.send(command)

			if (
				response?.output?.message?.content &&
				response.output.message.content.length > 0 &&
				response.output.message.content[0].text &&
				response.output.message.content[0].text.trim().length > 0
			) {
				try {
					return response.output.message.content[0].text
				} catch (parseError) {
					logger.error("Failed to parse Bedrock response", {
						ctx: "bedrock",
						error: parseError instanceof Error ? parseError : String(parseError),
					})
				}