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Dograh has a simple data model for passing information through a call. Understanding it is key to building agents that feel personalised and to extracting useful results after a call.

The three context objects

initial_context ──► Agent ──► gathered_context

                 [template variables](/voice-agent/template-variables)
                 (used in prompts)

initial_context

Data available to the agent before the call starts — the contact’s name, account details, appointment information, anything the agent should know upfront. It can be set from several places:
  • API trigger — pass it in the request body when calling POST /public/agent/{uuid} or POST /telephony/initiate-call
  • Campaign CSV — columns beyond phone_number automatically become initial_context fields for each contact’s call
  • Pre-call data fetch — enrich the context with data from your CRM or ERP via an HTTP call as the call starts, before the agent speaks
  • Agent Settings — set template context variables on the agent for testing; they’re included in test calls from the workflow editor and ignored on production calls

Template variables

Values from initial_context are available in your agent’s prompt using {{double_brace}} syntax.
You are calling {{customer_name}} about their {{plan}} plan,
which renews on {{renewal_date}}. Be friendly and confirm
whether they'd like to continue.
When the call starts, Dograh substitutes the values before sending the prompt to the LLM — so the agent speaks naturally as if it already knows the contact.

Fallback values

If a variable might be missing or empty, use a pipe (|) to provide a default value:
Hello {{customer_name | there}}, we're calling about your {{plan | current}} plan.
When customer_name is not set, the agent will say “Hello there” instead of leaving a blank. The syntax is:
{{variable_name | fallback_value}}
If the variable is present and non-empty, the fallback is ignored and the actual value is used.

Default variables

Built-in variables for current time and weekday, available in any prompt without setting up initial_context.
VariableDescriptionExample output
{{current_time}}Current time in UTC (or inferred timezone)2026-04-02 14:30:45 UTC
{{current_time_<TIMEZONE>}}Current time in the specified timezone2026-04-02 20:00:45 IST
{{current_weekday}}Current weekday name in UTC (or inferred timezone)Thursday
{{current_weekday_<TIMEZONE>}}Current weekday name in the specified timezoneThursday
Replace <TIMEZONE> with an IANA timezone name such as Asia/Kolkata, America/New_York, or Europe/London.
Today is {{current_weekday}} and the current time is {{current_time_America/New_York}}.
When you use a timezone suffix on either current_time or current_weekday, the other variable without a suffix will automatically use the same timezone instead of UTC. For example, if your prompt contains both {{current_time_Asia/Kolkata}} and {{current_weekday}}, the weekday will also be resolved in Asia/Kolkata.

Telephony variables

For telephony calls (inbound and outbound), Dograh automatically adds these variables to initial_context:
VariableDescriptionExample
{{caller_number}}The phone number that initiated the call+14155550100
{{called_number}}The phone number that received the call+18005550199
For inbound calls, caller_number is the customer’s number and called_number is your Dograh number. For outbound calls, it’s the reverse — caller_number is your Dograh number and called_number is the customer’s number.
You are speaking with the caller at {{caller_number}}.

gathered_context

Data the agent collects during the call. You configure what to extract in the agent node’s extraction settings — each variable has a name, type, and a prompt that tells the LLM what to look for. Extracted variables gathered_context is returned in the run record after the call completes and is available in webhook payloads for downstream processing. It is not available as a template variable in Agent prompts — prompts can only reference initial_context fields.

Data flow example

Where variables are available

LocationVariables available
Agent node promptsinitial_context fields via {{variable_name}}
Edge conditionsEvaluated against the live conversation — no explicit variable syntax needed
Webhook payload templatesAll context objects via {{initial_context.field}}, {{gathered_context.field}} etc.
Campaign CSV columnsCSV columns beyond phone_number become initial_context fields automatically