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clean execute_code tool description, remove sandbox internals
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1 changed files with 12 additions and 8 deletions
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@ -138,19 +138,22 @@ SURFSENSE_GREP_TOOL_DESCRIPTION = """Search for a literal text pattern across fi
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Use this to locate relevant document files/chunks before reading full files.
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"""
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SURFSENSE_EXECUTE_CODE_TOOL_DESCRIPTION = """Executes a shell command in an isolated sandbox environment.
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SURFSENSE_EXECUTE_CODE_TOOL_DESCRIPTION = """Executes a shell command in an isolated code execution environment.
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The sandbox runs Python with common data-science packages pre-installed
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(pandas, numpy, matplotlib, scipy, scikit-learn).
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Common data-science packages are pre-installed (pandas, numpy, matplotlib,
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scipy, scikit-learn). Documents from the conversation are automatically
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made available — run `ls` to discover them.
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Knowledge base documents from your conversation are automatically available
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as XML files under /home/daytona/documents/.
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When to use this tool: always use execute_code for any task involving
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numerical computation, data analysis, aggregation, or statistics. Write
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Python code to compute results and present the verified output. Never
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perform arithmetic manually when this tool is available.
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Usage notes:
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- Commands run in an isolated sandbox with no outbound network access.
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- Returns combined stdout/stderr output with exit code.
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- No outbound network access.
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- Returns combined stdout/stderr with exit code.
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- Use the optional timeout parameter to override the default timeout.
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- When issuing multiple commands, use ';' or '&&' to chain them.
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- Chain multiple commands with ';' or '&&'.
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"""
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SURFSENSE_SAVE_DOCUMENT_TOOL_DESCRIPTION = """Permanently saves a document to the user's knowledge base.
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@ -192,6 +195,7 @@ class SurfSenseFilesystemMiddleware(FilesystemMiddleware):
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if self._sandbox_available:
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system_prompt += (
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"\n- execute_code: run shell commands in an isolated Python sandbox."
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" Prefer this tool for any numerical computation or data analysis."
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)
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super().__init__(
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