为模型提供商使用环境变量

playground:
  deployment:
    extraEnv:
      - name: OPENAI_BASE_URL
        value: https://<my_proxy_url>
      - name: OPENAI_API_KEY
        valueFrom:
          secretKeyRef:
            name: <your_secret_name>
            key: api_key
  serviceAccount: # 如果您想使用 IRSA 或工作负载身份，这可能很有用
    annotations:
      eks.amazonaws.com/role-arn: <your_role_arn>

# 在您的 docker-compose.yaml 文件中
langchain-playground:
  environment:
    .. # 其他环境变量
    - OPENAI_BASE_URL=https://<my_proxy_url>
    - OPENAI_API_KEY=<your_key> # 这将在 .env 文件中设置

playground:
  deployment:
    extraEnv:
      # Playground 特定的 secret（推荐）
      - name: GOOGLE_VERTEX_AI_WEB_CREDENTIALS
        valueFrom:
          secretKeyRef:
            name: gcp-vertexai-secret
            key: credentials_json  # 您的完整服务账户 JSON 字符串
      # 标准回退选项
      - name: GOOGLE_APPLICATION_CREDENTIALS
        value: /secrets/gcp-key.json
      # 可选：如果模型配置中未设置，则设置项目/位置
      - name: GOOGLE_CLOUD_PROJECT
        value: "your-gcp-project-id"
      - name: VERTEXAI_PROJECT_ID
        value: "your-gcp-project-id"
      - name: VERTEXAI_LOCATION
        value: "us-central1"
    extraVolumeMounts:
      - name: gcp-secret-volume
        mountPath: /secrets
        readOnly: true
    extraVolumes:
      - name: gcp-secret-volume
        secret:
          secretName: gcp-key-json  # JSON 文件 secret
          defaultMode: 0444

# 在您的 docker-compose.yaml 文件中
langchain-playground:
  environment:
    .. # 其他环境变量
    - GOOGLE_VERTEX_AI_WEB_CREDENTIALS=<your_service_account_json>  # 完整的 JSON 字符串
    # 或使用文件路径
    - GOOGLE_APPLICATION_CREDENTIALS=/secrets/gcp-key.json
    - GOOGLE_CLOUD_PROJECT=your-gcp-project-id
    - VERTEXAI_PROJECT_ID=your-gcp-project-id
    - VERTEXAI_LOCATION=us-central1
  volumes:
    - ./gcp-key.json:/secrets/gcp-key.json:ro

playground:
  deployment:
    extraEnv:
      # 可选：如果模型配置中未设置，则设置项目/位置
      - name: GOOGLE_CLOUD_PROJECT
        value: "your-gcp-project-id"
      - name: VERTEXAI_PROJECT_ID
        value: "your-gcp-project-id"
      - name: VERTEXAI_LOCATION
        value: "us-central1"
    # 无需凭据 - Pod 通过注解承担 GCP SA 角色
  serviceAccount:
    create: true  # 如果不存在则启用
    annotations:
      iam.gke.io/gcp-service-account: "vertexai-sa@your-gcp-project.iam.gserviceaccount.com"

playground:
  deployment:
    extraEnv:
      # 可选：如果模型配置中未设置，则设置项目/位置
      - name: GOOGLE_CLOUD_PROJECT
        value: "your-gcp-project-id"
      - name: VERTEXAI_PROJECT_ID
        value: "your-gcp-project-id"
      - name: VERTEXAI_LOCATION
        value: "us-central1"
    # 无需凭据 - Pod 通过 AWS IAM 角色承担 GCP SA 角色
  serviceAccount:
    create: true  # 如果不存在则启用
    annotations:
      eks.amazonaws.com/role-arn: arn:aws:iam::<account>:role/LangSmith-VertexAI-Role