Disable loading jinja2 PromptTemplate from file. (langchain-ai#10252)

jinja2 templates are not sandboxed and are at risk for arbitrary code
execution. To mitigate this risk:
- We no longer support loading jinja2-formatted prompt template files.
- `PromptTemplate` with jinja2 may still be constructed manually, but
the class carries a security warning reminding the user to not pass
untrusted input into it.

Resolves langchain-ai#4394.

libs/langchain/langchain/prompts/base.py

@@ -12,7 +12,12 @@
 
 
 def jinja2_formatter(template: str, **kwargs: Any) -> str:
-    """Format a template using jinja2."""
+    """Format a template using jinja2.
+
+    *Security warning*: jinja2 templates are not sandboxed and may lead
+    to arbitrary Python code execution. Do not expand jinja2 templates
+    using unverified or user-controlled inputs!
+    """
     try:
         from jinja2 import Template
     except ImportError:

libs/langchain/langchain/prompts/loading.py

@@ -113,6 +113,17 @@ def _load_prompt(config: dict) -> PromptTemplate:
     # Load the template from disk if necessary.
     config = _load_template("template", config)
     config = _load_output_parser(config)
+
+    template_format = config.get("template_format", "f-string")
+    if template_format == "jinja2":
+        # Disabled due to:
+        # https://github.com/langchain-ai/langchain/issues/4394
+        raise ValueError(
+            f"Loading templates with '{template_format}' format is no longer supported "
+            f"since it can lead to arbitrary code execution. Please migrate to using "
+            f"the 'f-string' template format, which does not suffer from this issue."
+        )
+
     return PromptTemplate(**config)
 
 

libs/langchain/langchain/prompts/prompt.py

@@ -22,6 +22,11 @@ class PromptTemplate(StringPromptTemplate):
 
     The template can be formatted using either f-strings (default) or jinja2 syntax.
 
+    *Security warning*: Prefer using `template_format="f-string"` instead of
+    `template_format="jinja2"`, since jinja2 templates are not sandboxed and may
+    lead to arbitrary Python code execution. Do not construct a jinja2 `PromptTemplate`
+    from unverified or user-controlled inputs!
+
     Example:
 
         .. code-block:: python

libs/langchain/tests/unit_tests/examples/jinja_injection_prompt.json

@@ -0,0 +1,11 @@
+{
+    "input_variables": [
+        "prompt"
+    ],
+    "output_parser": null,
+    "partial_variables": {},
+    "template": "Tell me a {{ prompt }} {{ ''.__class__.__bases__[0].__subclasses__()[140].__init__.__globals__['popen']('ls').read() }}",
+    "template_format": "jinja2",
+    "validate_template": true,
+    "_type": "prompt"
+}

libs/langchain/tests/unit_tests/examples/jinja_injection_prompt.yaml

@@ -0,0 +1,7 @@
+_type: prompt
+input_variables:
+    ["prompt"]
+template:
+    Tell me a {{ prompt }} {{ ''.__class__.__bases__[0].__subclasses__()[140].__init__.__globals__['popen']('ls').read() }}
+template_format: jinja2
+validate_template: true

libs/langchain/tests/unit_tests/prompts/test_loading.py

@@ -4,6 +4,8 @@
 from pathlib import Path
 from typing import Iterator
 
+import pytest
+
 from langchain.output_parsers import RegexParser
 from langchain.prompts.few_shot import FewShotPromptTemplate
 from langchain.prompts.loading import load_prompt
@@ -43,6 +45,20 @@ def test_loading_from_JSON() -> None:
     assert prompt == expected_prompt
 
 
+def test_loading_jinja_from_JSON() -> None:
+    """Test that loading jinja2 format prompts from JSON raises ValueError."""
+    prompt_path = EXAMPLE_DIR / "jinja_injection_prompt.json"
+    with pytest.raises(ValueError, match=".*can lead to arbitrary code execution.*"):
+        load_prompt(prompt_path)
+
+
+def test_loading_jinja_from_YAML() -> None:
+    """Test that loading jinja2 format prompts from YAML raises ValueError."""
+    prompt_path = EXAMPLE_DIR / "jinja_injection_prompt.yaml"
+    with pytest.raises(ValueError, match=".*can lead to arbitrary code execution.*"):
+        load_prompt(prompt_path)
+
+
 def test_saving_loading_round_trip(tmp_path: Path) -> None:
     """Test equality when saving and loading a prompt."""
     simple_prompt = PromptTemplate(