создание и маунт папки /workspace

.dockerignore

@@ -7,3 +7,4 @@
 *.pyc
 __pycache__/
 .env
+workspace/

.gitignore

@@ -1,3 +1,5 @@
+workspace/
+
 .idea/
 
 # Byte-compiled / optimized / DLL files

Dockerfile

@@ -17,8 +17,6 @@ RUN uv pip install git+https://git.lambda.coredump.ru/platform/agent_api.git
 
 FROM base as production
 
-RUN useradd --create-home --shell /bin/bash appuser
-
 COPY --from=builder /app/.venv /app/.venv
 ENV PATH="/app/.venv/bin:$PATH"
 
@@ -26,8 +24,12 @@ COPY src/ /app/src/
 COPY Makefile ./
 COPY .mk/ ./.mk/
 
+RUN useradd --shell /bin/bash appuser
 USER appuser
 
+ENV WORKSPACE_DIR="/workspace/"
+RUN mkdir -p $WORKSPACE_DIR && chown appuser:appuser $WORKSPACE_DIR
+
 EXPOSE 8000
 
 CMD ["make", "uvicorn-prod"]
@@ -47,6 +49,8 @@ ENV PATH="/app/.venv/bin:$PATH"
 COPY Makefile ./
 COPY .mk/ ./.mk/
 
+ENV WORKSPACE_DIR="/workspace/"
+
 EXPOSE 8000
 
 CMD ["make", "uvicorn-dev"]

docker-compose.yml

@@ -18,6 +18,7 @@ services:
     volumes:
       - ./src:/app/src
       - ${AGENT_API_PATH}:/agent-api/
+      - ./workspace:/workspace/
     ports:
       - "8000:8000"
     env_file:

src/agent/base.py

@@ -2,6 +2,7 @@ import os
 from deepagents import create_deep_agent
 from langchain_openai import ChatOpenAI
 from langgraph.checkpoint.memory import MemorySaver
+from deepagents.backends.local_shell import LocalShellBackend
 
 
 def create_agent():
@@ -11,9 +12,14 @@ def create_agent():
         api_key=os.environ["PROVIDER_API_KEY"],
     )
 
+    workspace_dir = os.environ["WORKSPACE_DIR"]
+    backend = LocalShellBackend(workspace_dir,
+                                virtual_mode=True)
+
     return create_deep_agent(
         model=model,
         system_prompt="You are a helpful assistant.",
         checkpointer=MemorySaver(),
+        backend=backend,
     )