핵심 요구사항
- LangGraph journey 플로우로 대화 상태 전이 설계 및 구현
- FastAPI로 /chat 엔드포인트 제공
- PostgreSQL 연동 (컨텍스트 검색 + 상태 영속화)
- 각 대화 경로를 커버하는 단위 테스트 작성
- Dockerfile 및 GitHub Actions CI/CD (test/lint/build/staging 배포)
- 설정·환경변수·확장 포인트를 담은 README 등 문서화
Required stack
필요 기술
PythonFastAPILangGraphPostgreSQLDockerGitHub ActionsGit
Project brief
프로젝트 내용
The project starts Monday and I want to shape a production-ready chatbot from the first commit. We’ll be working in Python with FastAPI, driving the conversation logic through LangGraph—specifically its “journey” flow—so every state transition is explicit and testable.
Your role is to build the workflow with me, connect it to a PostgreSQL store for both context retrieval and state persistence, and keep everything version-controlled on GitHub. A simple yet solid CI/CD pipeline (GitHub Actions is fine) should run tests, lint, build a Docker image, and deploy automatically to a staging environment.
Clear, instructive code matters as much as working features. I need comments, well-named commits, and concise Markdown docs so I can take over confidently once the foundation is laid.
Acceptance criteria
• FastAPI service exposing a /chat endpoint powered by LangGraph
• Journey definition file plus unit tests that cover each conversational path
• Dockerfile and GitHub Actions workflow that build, test, and push to staging
• README detailing setup, environment variables, and extension points
I’ll be available for quick reviews and decisions, aiming for steady momentum throughout the build. If you have hands-on LangGraph experience and can explain what you write, let’s get started.
Your role is to build the workflow with me, connect it to a PostgreSQL store for both context retrieval and state persistence, and keep everything version-controlled on GitHub. A simple yet solid CI/CD pipeline (GitHub Actions is fine) should run tests, lint, build a Docker image, and deploy automatically to a staging environment.
Clear, instructive code matters as much as working features. I need comments, well-named commits, and concise Markdown docs so I can take over confidently once the foundation is laid.
Acceptance criteria
• FastAPI service exposing a /chat endpoint powered by LangGraph
• Journey definition file plus unit tests that cover each conversational path
• Dockerfile and GitHub Actions workflow that build, test, and push to staging
• README detailing setup, environment variables, and extension points
I’ll be available for quick reviews and decisions, aiming for steady momentum throughout the build. If you have hands-on LangGraph experience and can explain what you write, let’s get started.
지원 기회 분석
지원 전에 볼 것
예상 산출물
- LangGraph 기반 FastAPI /chat 서비스
- Journey 정의 파일 + 경로별 단위 테스트
- Dockerfile 및 GitHub Actions 워크플로우
- setup/환경변수/확장 가이드 README
매력 포인트
- 명확한 스펙과 수용 기준 명시
- 협업형 리뷰로 안정적 진행 약속
확인할 점
- 예산 표기 모순 ($400~$700인데 통화 단위가 INR로 표시, 실제 통화 불명확)
- hourly 프로젝트인데 기간 미기재, bid 평균이 $641로 예산 상한 근처
Client signal
클라이언트 정보
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