implementation

Define Narrative Agent

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Building Real-Time Interactive Narratives with OpenAI Agents SDK and DeepSeek R1

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Linked challenge

Building Real-Time Interactive Narratives with OpenAI Agents SDK and DeepSeek R1

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

Using OpenAI Agents SDK, define a character agent with persona constraints. Ensure DeepSeek R1 is selected for reasoning tasks. Implement tool calling via Browserbase to pull context.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

Prompt diagnostics

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Purpose

implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Building Real-Time Interactive Narratives with OpenAI Agents SDK and DeepSeek R1

Create an immersive, interactive agent system designed to generate dynamic microdramas. Using the OpenAI Agents SDK, you will develop a multi-turn conversation orchestrator that manages character persona state and narrative flow. This challenge leverages the DeepSeek R1 reasoning model to ensure that plot development remains coherent and follows complex character arcs defined by the user. Integration with Sarvam AI enables voice-native interaction, while Browserbase provides the infrastructure for agents to perform live-web actions, such as fetching real-time context to enrich the story. All traffic and model routing is managed through Vercel AI Gateway, providing enterprise-grade analytics on token usage and model performance. Google Jules serves as the core development assistant for debugging the logic flows within your agentic stack.

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