Create 14_templated_instructions.py

README.md

@@ -198,6 +198,64 @@ async def analyze_call_feedback(input: CallFeedbackInput) -> CallFeedbackOutput:
 > a newer version of the same model with the same or a lower price so calling the api with
 > a retired model will always work.
 
+### Using templated instructions
+
+You can use [Jinja2](https://jinja.palletsprojects.com/)-style templating in your agent's instructions (docstring) to make them dynamic based on input values. The template variables are automatically populated from the fields in your input model.
+
+```python
+class CodeReviewInput(BaseModel):
+    language: str = Field(description="Programming language of the code")
+    style_guide: str = Field(description="Style guide to follow")
+    is_production: bool = Field(description="Whether this is a production review")
+    focus_areas: list[str] = Field(description="Areas to focus on during review", default_factory=list)
+
+class CodeReviewOutput(BaseModel):
+    """Output from a code review."""
+    issues: list[str] = Field(
+        default_factory=list,
+        description="List of identified issues or suggestions for improvement"
+    )
+    compliments: list[str] = Field(
+        default_factory=list,
+        description="List of positive aspects and good practices found in the code"
+    )
+    summary: str = Field(
+        description="A brief summary of the code review findings"
+    )
+
+@workflowai.agent(id="code-review")
+async def review_code(review_input: CodeReviewInput) -> CodeReviewOutput:
+    """
+    You are a code reviewer for {{ language }} code.
+    Please review according to the {{ style_guide }} style guide.
+
+    {% if is_production %}
+    This is a PRODUCTION review - be extra thorough and strict.
+    {% else %}
+    This is a development review - focus on maintainability.
+    {% endif %}
+
+    {% if focus_areas %}
+    Key areas to focus on:
+    {% for area in focus_areas %}
+    {{ loop.index }}. {{ area }}
+    {% endfor %}
+    {% endif %}
+    """
+    ...
+```
+
+The template uses [Jinja2](https://jinja.palletsprojects.com/) syntax and supports common templating features including:
+
+- Variable substitution: `{{ variable }}`
+- Conditionals: `{% if condition %}...{% endif %}`
+- Loops: `{% for item in items %}...{% endfor %}`
+- Loop indices: `{{ loop.index }}`
+
+See the [Jinja2 documentation](https://jinja.palletsprojects.com/) for the full template syntax and capabilities.
+
+We recommend using ChatGPT or CursorAI to help generate the template.
+
 ### Version from code or deployments
 
 Setting a docstring or a model in the agent decorator signals the client that the agent parameters are

examples/14_templated_instructions.py

@@ -0,0 +1,180 @@
+"""
+This example demonstrates how to use templated instructions that adapt based on input variables.
+The template variables are automatically populated from the input model's fields.
+
+The templating uses Jinja2 syntax (server-side rendering):
+- {{ variable }} for variable substitution
+- {% if condition %} ... {% endif %} for conditionals
+- {% for item in items %} ... {% endfor %} for loops
+- {{ loop.index }} for loop indices
+
+For full Jinja2 template syntax documentation, see:
+https://jinja.palletsprojects.com/en/stable/
+
+It showcases:
+1. Simple variable substitution
+2. Conditional logic
+3. Loops
+4. Nested conditionals
+"""
+
+import asyncio
+
+from pydantic import BaseModel, Field
+
+import workflowai
+from workflowai import Model, Run
+
+
+class CodeReviewInput(BaseModel):
+    """Input model for the code review agent."""
+
+    language: str = Field(
+        description="The programming language of the code to review",
+        examples=["python", "javascript", "typescript"],
+    )
+    code: str = Field(
+        description="The code to review",
+    )
+    style_guide: str = Field(
+        description="The style guide to follow",
+        examples=["PEP 8", "Google Style", "Airbnb"],
+    )
+    is_production: bool = Field(
+        description="Whether this is a production code review",
+        default=False,
+    )
+    required_checks: list[str] = Field(
+        description="List of specific checks to perform",
+        default=["code style", "performance", "maintainability"],
+    )
+    security_level: str = Field(
+        description="Required security level",
+        default="standard",
+        examples=["standard", "high"],
+    )
+
+
+class CodeReviewOutput(BaseModel):
+    """Output model containing the code review results."""
+
+    overall_assessment: str = Field(
+        description="Overall assessment of the code quality",
+    )
+    style_violations: list[str] = Field(
+        description="List of style guide violations",
+    )
+    security_issues: list[str] = Field(
+        description="List of security concerns",
+        default_factory=list,
+    )
+    suggested_improvements: list[str] = Field(
+        description="List of suggested improvements",
+    )
+
+
+@workflowai.agent(
+    id="templated-code-reviewer",
+    model=Model.CLAUDE_3_5_SONNET_LATEST,
+)
+async def review_code(review_input: CodeReviewInput) -> Run[CodeReviewOutput]:
+    """
+    Review code based on specified parameters and guidelines.
+
+    You are a code reviewer for {{ language }} code.
+    Please review the code according to the {{ style_guide }} style guide.
+
+    {% if is_production %}
+    This is a PRODUCTION code review - please be extra thorough and strict about best practices.
+    {% else %}
+    This is a development code review - focus on maintainability and clarity.
+    {% endif %}
+
+    Required checks to perform:
+    {% for check in required_checks %}{{ loop.index }}. {{ check }}
+    {% endfor %}
+
+    {% if security_level == "high" %}
+    Additional security requirements:
+    - Must follow secure coding practices
+    - Check for potential security vulnerabilities
+    - Ensure all inputs are properly sanitized
+    {% endif %}
+
+    Guidelines:
+    1. Check for adherence to {{ style_guide }} conventions
+    2. Look for potential bugs and performance issues
+    3. Suggest improvements while keeping the {{ language }} best practices in mind
+
+    {% if language == "python" %}
+    Python-specific checks:
+    - Type hints usage
+    - PEP 8 compliance
+    - Docstring format
+    {% elif language == "javascript" or language == "typescript" %}
+    JavaScript/TypeScript-specific checks:
+    - ESLint rules compliance
+    - Modern ES6+ features usage
+    - Browser compatibility
+    {% endif %}
+
+    Please analyze the following code and provide:
+    1. An overall assessment
+    2. Style guide violations
+    3. Security issues (if any)
+    4. Suggested improvements
+
+    The code is:
+    {{ code }}
+    """
+    ...
+
+
+async def main():
+    # Example 1: Python code review for development
+    print("\nExample 1: Python Development Code Review")
+    print("-" * 50)
+    python_code = """
+def calculate_sum(numbers):
+    result = 0
+    for n in numbers:
+        result = result + n
+    return result
+    """
+
+    run = await review_code(
+        CodeReviewInput(
+            language="python",
+            code=python_code,
+            style_guide="PEP 8",
+            required_checks=["type hints", "docstring", "performance"],
+        ),
+    )
+    print(run)
+
+    # Example 2: TypeScript production code with high security
+    print("\nExample 2: TypeScript Production Code Review (High Security)")
+    print("-" * 50)
+    typescript_code = """
+function processUserData(data: any) {
+    const userId = data.id;
+    const query = `SELECT * FROM users WHERE id = ${userId}`;
+    return executeQuery(query);
+}
+    """
+
+    run = await review_code(
+        CodeReviewInput(
+            language="typescript",
+            code=typescript_code,
+            style_guide="Airbnb",
+            is_production=True,
+            security_level="high",
+            required_checks=["security", "type safety", "SQL injection"],
+        ),
+    )
+    print(run)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())