Input Variables

Separate your agent instructions from dynamic data to improve debugging, enable deployments, and make your agents more maintainable and testable.

Overview

Input variables allow you to separate static agent instructions from dynamic data, making your agents more maintainable and observable. They use Jinja2 template syntax with double braces {{variable_name}} to inject variables into your prompts at runtime.

Benefits of Input Variables:

Better Observability: Clear separation between static instructions and dynamic data.
Easier Debugging: Variables are displayed separately in run details.
Deployment Support: Required for deployments to be able to edit prompts without a code change.

Basic usage

Providing input variables

Input variables are provided via the extra_body parameter in your completion request:

completion = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{
        "role": "user", 
        "content": "Analyze this email: {{email_content}}"
    }],
    extra_body={
        "input": {
            "email_content": "Dear team, please review the quarterly report..."
        }
    },
    metadata={"agent_id": "email-analyzer"}
)

// @ts-expect-error input is specific to the AnotherAI implementation
const completion = await openai.chat.completions.create({
    model: "gpt-4o-mini",
    messages: [{
        role: "user",
        content: "Analyze this email: {{email_content}}"
    }],
    input: {
        email_content: "Dear team, please review the quarterly report..."
    },
    metadata: { agentId: "email-analyzer" }
});

curl -X POST https://api.anotherai.dev/v1/chat/completions \
-H "Authorization: Bearer $ANOTHERAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "gpt-4o-mini",
    "messages": [{
        "role": "user",
        "content": "Analyze this email: {{email_content}}"
    }],
    "extra_body": {
        "input": {
            "email_content": "Dear team, please review the quarterly report..."
        }
    },
    "metadata": {"agent_id": "email-analyzer"}
}'

Template syntax

AnotherAI uses Jinja2 templating with these key patterns:

Pattern	Usage	Example
`{{variable}}`	Simple variable substitution	`{{user_name}}`
`{{object.property}}`	Nested object access	`{{user.email}}`
`{{list[0]}}`	Array element access	`{{messages[0]}}`
`{% if condition %}`	Conditional logic	`{% if is_premium %}...{% endif %}`
`{% for item in list %}`	Loop over arrays	`{% for msg in messages %}...{% endfor %}`

Examples

messages = [{
    "role": "user",
    "content": "Summarize this text in {{length}} words: {{text}}"
}]

extra_body = {
    "input": {
        "text": "Long article content here...",
        "length": 50
    }
}

messages = [{
    "role": "system",
    "content": "You are a {{role}} helping {{user_name}} with {{task_type}} tasks."
}, {
    "role": "user", 
    "content": "{{user_query}}"
}]

extra_body = {
    "input": {
        "role": "financial advisor",
        "user_name": "Alice",
        "task_type": "investment",
        "user_query": "Should I invest in tech stocks?"
    }
}

messages = [{
    "role": "system",
    "content": """Process this customer support ticket:
    
Customer: {{ticket.customer.name}} ({{ticket.customer.email}})
Priority: {{ticket.priority}}
Category: {{ticket.category}}

Previous interactions:
{% for interaction in ticket.history %}
- {{interaction.date}}: {{interaction.summary}}
{% endfor %}

Current issue: {{ticket.description}}"""
}]

extra_body = {
    "input": {
        "ticket": {
            "customer": {
                "name": "John Smith",
                "email": "john@company.com"
            },
            "priority": "high",
            "category": "billing",
            "description": "Cannot access premium features",
            "history": [
                {
                    "date": "2024-01-15",
                    "summary": "Initial signup completed"
                },
                {
                    "date": "2024-01-20", 
                    "summary": "Upgraded to premium plan"
                }
            ]
        }
    }
}

Observability benefits

Viewing variables in run details

When you use input variables, AnotherAI automatically separates them in the run view:

Agent Input: Shows the variables you provided
Agent Output: Shows the agent's response
Prompt View: Shows the final rendered prompt with variables substituted

Run View: In the run details, you'll see a clear separation between your input variables and the agent's output, making debugging much easier.

This separation makes it much easier to:

Debug issues with specific input data
Understand what changed between runs
Test different variable values while keeping instructions constant

Searching by variables

You can search for runs using input variable values:

Go to the Runs section in AnotherAI
Use the search filters to find runs by:
- Specific variable values (e.g., input.user_id = "12345")
- Variable existence (e.g., runs that have input.priority)
- Variable ranges (e.g., input.score > 0.8)

Learn more about advanced run searching, including using the MCP tool and API, in the Search documentation.

Error handling and debugging

Common template errors

Error message:

Template variable 'user_name' is not defined in input variables

Solution: Ensure all variables used in templates are provided in extra_body.input:

# ❌ Missing variable
messages = [{"role": "user", "content": "Hello {{user_name}}"}]
extra_body = {"input": {}}  # user_name not provided

# ✅ Correct
messages = [{"role": "user", "content": "Hello {{user_name}}"}] 
extra_body = {"input": {"user_name": "Alice"}}

Error message:

Template syntax error: unexpected character '{' at line 1

Common causes:

Single braces instead of double: {variable} → {{variable}}
Unmatched braces: {{variable} → {{variable}}

Input Variables

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