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79 lines
2.4 KiB
JSON
79 lines
2.4 KiB
JSON
{
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"name": "coding_agent",
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"description": "A coding agent that uses OpenAI code_interpreter to write, run, and iterate on code",
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"version": 1,
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"schemaVersion": 2,
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"inputParameters": ["task"],
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"tasks": [
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{
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"name": "plan_implementation",
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"taskReferenceName": "plan",
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"type": "LLM_CHAT_COMPLETE",
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"inputParameters": {
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"llmProvider": "openai",
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"model": "gpt-4o",
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"messages": [
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{
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"role": "system",
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"message": "You are a senior software engineer. Break down the coding task into clear steps. Output a numbered plan."
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},
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{
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"role": "user",
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"message": "${workflow.input.task}"
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}
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],
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"temperature": 0.2,
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"maxTokens": 1000
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}
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},
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{
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"name": "write_and_run_code",
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"taskReferenceName": "code",
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"type": "LLM_CHAT_COMPLETE",
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"inputParameters": {
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"llmProvider": "openai",
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"model": "gpt-4o",
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"messages": [
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{
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"role": "system",
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"message": "You are a coding assistant with access to a code execution sandbox. Write the code, run it, verify the output, and fix any errors. Return the final working code and its output."
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},
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{
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"role": "user",
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"message": "Implementation plan:\n${plan.output.result}\n\nOriginal task: ${workflow.input.task}\n\nWrite the code, execute it, and return the working result."
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}
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],
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"codeInterpreter": true,
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"temperature": 0.1,
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"maxTokens": 4000
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}
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},
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{
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"name": "review_code",
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"taskReferenceName": "review",
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"type": "LLM_CHAT_COMPLETE",
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"inputParameters": {
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"llmProvider": "openai",
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"model": "gpt-4o-mini",
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"messages": [
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{
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"role": "system",
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"message": "You are a code reviewer. Review the implementation for correctness, edge cases, and code quality. Provide a brief summary of what was built and any suggestions."
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},
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{
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"role": "user",
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"message": "Task: ${workflow.input.task}\n\nImplementation:\n${code.output.result}"
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}
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],
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"temperature": 0.3,
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"maxTokens": 1000
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}
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}
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],
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"outputParameters": {
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"plan": "${plan.output.result}",
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"code": "${code.output.result}",
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"review": "${review.output.result}"
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}
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}
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