Round-robin interaction files

A round-robin interaction: agents, and optionally a person, take turns in one shared conversation. Each agent can answer, pass, ask another a question, or propose a final answer that the others vote on.

What round-robin interactions are for, and how to use them: Teams of agents.

Where the file goes

interactions/round-robin/, or any sub-folder of it. The file name without .mtr is the round-robin interaction’s name. Other files refer to it as @ref("<name>").

A resource’s name is its file name without .mtr (an app’s is its folder’s name). Use letters, digits, _, - and . (but not ..), at most 128 characters. Two files of the same kind may not have the same name, even in different sub-folders or with different capitals.

Properties

A file must set agents and task. Everything else is optional.

agents

Required. List of blocks.

The seats at the table, in the order they take turns.

task

Required. Text.

What the agents are asked to do. The run’s inputs are filled in where it says %%name%%, and {{#if name}}...{{/if}} keeps text only when an input has a value ({{#unless name}} for the opposite). Use @prompt("name") for anything longer than a sentence.

task = "Chat with the person. Answer what they ask."

features

Optional. Block.

Which moves the agents may make. All are allowed when not set.

human

Optional. Block.

A person takes part in the conversation. No one when not set.

rules

Optional. Block.

When the conversation ends on its own.

functions.openApi

Optional. List of blocks.

Tools available to every agent in the interaction, as well as the tools each agent has itself.

inputs.prompts

Optional. List of blocks.

The inputs a run is started with, which the task uses as %%name%%.

inputs.functions.binding

Optional. List of blocks.

Run inputs whose values go straight into a tool call, such as a customer id: the model never sees or chooses them.

inputs.functions.auth

Optional. List of blocks.

Run inputs that choose the secret a tool sends with its calls.

schema.solution

Optional. JSON text.

The JSON Schema the answer must match, usually @json("name"). The run’s output is then JSON of that shape.

schema.solution = @json("answer")

prompts.system.mode

Optional. One of the values below. Default: "AppendToDefault".

How prompts.system combines with the instructions Maitento gives every agent.

Value	Meaning
AppendToDefault	They are added after Maitento’s instructions.
OverwriteAll	They replace everything: the agent’s prompt, Maitento’s instructions and the list of tools.
OverwriteNonCritical	They replace Maitento’s general guidance, keeping the agent’s prompt, safety rules and tools.

prompts.system.mode = "OverwriteAll"

prompts.system

Optional. List of text.

Extra system instructions for every agent in the interaction.

prompts.system = [ "Write in British English." ]

duration.warn

Optional. Duration, "hh:mm:ss".

When the agents are told that time is running short, as "hh:mm:ss" from the start of the run.

duration.warn = "00:05:00"

duration.max

Optional. Duration, "hh:mm:ss".

The longest a run may take, as "hh:mm:ss". The run stops with an error when it is reached. Time spent waiting for a person does not count. No limit when not set.

duration.max = "00:05:00"

context

Optional. Block.

How the conversation is kept within the model’s context window, and how many rounds of tool calls an agent may make in one turn. The defaults suit almost every interaction.

loom

Optional. Block.

Long-term memory for the interaction’s agents. No memory when not set.

credentialStack

Optional. Text.

The credential stack this interaction’s runs use, by name, when their start doesn’t name one: its credentials serve every model call, and Maitento’s own keys never do. Leave it out to use the namespace’s default stack, then your tenant’s.

credentialStack = "..."

swarm

Optional. Block.

Other interactions the agents may start as sub-runs, and how many. None when not set.

Each item of agents

A seat in an interaction: the name a participant goes by, and the agent that fills it. { name = "Greeter" agent = @ref("greeter") }.

agents › name

Required. Text.

The name the participant goes by in this interaction. The other participants, and the transcript, use it, so give each seat its own.

name = "Assistant"

agents › agent

Required. Reference to an agent.

The agent that fills the seat.

agent = @ref("assistant")

agents › loom

Optional. Reference to a loom.

A named loom the participant always remembers with, instead of the one the interaction’s loom settings would give it. A loom chosen when the run starts still takes precedence.

loom = @ref("family")

agents › webAccess

Optional. Block.

The participant’s built-in web tools, overriding what its agent allows: webAccess = { search = true fetch = false }. Leave either out to keep the agent’s own setting. Where this block and webAccess.search / webAccess.fetch are both given, the block wins.

agents › webAccess.search

Optional. true or false.

Gives or takes away the built-in web search tool for this participant, overriding its agent.

webAccess.search = true

agents › webAccess.fetch

Optional. true or false.

Gives or takes away the built-in web fetch tools for this participant, overriding its agent.

webAccess.fetch = true

agents › functions.openApi

Optional. List of blocks.

Tools for this participant only, as well as the interaction’s and its agent’s own.

The features block

features = { ... }: which moves the agents at the table may make.

features › noAction

Optional. true or false. Default: true.

An agent may pass its turn without saying anything.

noAction = false

features › voting

Optional. true or false. Default: true.

Agents vote on a proposed answer.

voting = false

features › directQuestions

Optional. true or false. Default: true.

An agent may ask another a question directly.

directQuestions = false

features › solutionProposal

Optional. true or false. Default: true.

An agent may propose a final answer. With no one able to, a conversation with a person carries on until it is stopped.

solutionProposal = false

The human block

human = { first = true }: a person takes part in the conversation.

human › first

Optional. true or false. Default: false.

The person speaks first. Otherwise the agents speak first and the person last.

first = true

human › votes

Optional. true or false. Default: false.

Round-robin only: the person votes too, when an agent puts something to a vote. Needs features.voting.

votes = true

human › solutions

Optional. true or false. Default: false.

Round-robin only: a proposed final answer is put to the person too, to accept or reject. Needs features.solutionProposal.

solutions = false

The rules block

rules = { ... }: when a round-robin conversation ends on its own.

rules › noActionLoops.max

Optional. Whole number.

How many rounds in which every agent passes end the run. No limit when not set.

noActionLoops.max = 2

Each item of functions.openApi

A tool made available in one place (to a whole interaction, to one participant, or to an app), with any values and credentials that apply there: { ref = @ref("search-handbook") }. What is set here overrides the tool’s own settings.

The same block is used for agents › functions.openApi.

functions.openApi › ref

Required. Reference to a tool.

The tool.

ref = @ref("search-handbook")

functions.openApi › bindings.path

Optional. Map of text, one line per entry: bindings.path:<key> = "value".

Fixed values for the connector’s path parameters, one line each: bindings.path:orderId = "A-1001".

bindings.path:orderId = "A-1001"

functions.openApi › bindings.query

Optional. Map of text, one line per entry: bindings.query:<key> = "value".

Fixed values for the connector’s query parameters, one line each: bindings.query:units = "metric".

bindings.query:units = "metric"

functions.openApi › name

Optional. Text.

The name the model calls the tool by here. The tool’s own name when not set.

name = "search-handbook"

functions.openApi › bindings.request

Optional. Map of text, one line per entry: bindings.request:<key> = "value".

Fixed values for fields of the request body, which the model never sees or chooses, one line each: bindings.request:field = "value". Separate the names of a nested field with / (bindings.request:customer/id). A value is read as the type the request schema gives the field.

bindings.request:customer/id = "C-42"

functions.openApi › auth

Optional. Block.

A credential to send with every call made here, instead of the tool’s own.

functions.openApi › guidance

Optional. Text.

When and how to use the tool here, instead of the tool’s own guidance. The model reads it.

guidance = "Use it when the customer asks about an order."

functions.openApi › terminal

Optional. true or false. Default: false.

A successful call ends the agent’s turn: the result is recorded, and the model is not asked to continue. Use it for a “finish” tool that is meant to be the last thing an agent does in a turn.

terminal = true

Each item of inputs.prompts

An input a run is started with, used in the task as %%name%%: { name = "topic" description = "What the haiku is about" required = true }.

inputs.prompts › name

Required. Text.

The input’s name: a run gives the input’s value under this name.

name = "userName"

inputs.prompts › type

Optional. One of the values below. Default: "String".

The type of value the input takes.

Value	Meaning
String	Text.
Integer	A whole number.
Decimal	A number that may have a fractional part.
Boolean	true or false.

type = "Integer"

inputs.prompts › description

Optional. Text.

What the input is for, shown to whoever starts a run.

description = "What the haiku is about"

inputs.prompts › required

Optional. true or false. Default: true.

Whether a run must give the input. A run without a required input is refused, unless the input has a default, which the run then uses.

required = true

Each item of inputs.functions.binding

A run input whose value is written straight into a tool’s calls, so the model never sees or chooses it: { function = @ref("search-handbook") name = "partitionId" target = "partitionId" type = "request" }.

inputs.functions.binding › function

Required. Reference to a tool.

The tool whose calls get the value.

function = @ref("current-weather")

inputs.functions.binding › target

Required. Text.

Where the value goes: the name of the request body field (separate the names of a nested field with /), or of the path or query parameter, as type says.

target = "temperature_unit"

inputs.functions.binding › name

Required. Text.

The input’s name: a run gives the input’s value under this name.

name = "temperatureUnit"

inputs.functions.binding › agent

Optional. Reference to an agent.

Only the participant filled by this agent gets the value. Every participant when not set.

agent = @ref("weather-bot")

inputs.functions.binding › default

Optional. Text.

The value used when a run does not give one.

default = "celsius"

inputs.functions.binding › type

Optional. One of the values below. Default: "Request".

What target names: a field of the request body, a query parameter or a path parameter.

Value	Meaning
Request	A field of the request body.
Query	A query-string parameter.
Path	A path parameter.

type = "query"

inputs.functions.binding › description

Optional. Text.

What the input is for, shown to whoever starts a run.

description = "celsius or fahrenheit"

inputs.functions.binding › required

Optional. true or false. Default: true.

Whether a run must give the input. A run without a required input is refused, unless the input has a default, which the run then uses.

required = false

Each item of inputs.functions.auth

A run input that chooses the secret a tool sends with its calls: a run gives the id of the secret, such as one per customer. { function = @ref("get-order") name = "customerKey" header = "X-Api-Key" }.

inputs.functions.auth › function

Required. Reference to a tool.

The tool whose calls send the secret.

function = @ref("get-order")

inputs.functions.auth › name

Required. Text.

The input’s name: a run gives the input’s value under this name.

name = "shopKey"

inputs.functions.auth › agent

Optional. Reference to an agent.

Only the participant filled by this agent sends it. Every participant when not set.

agent = @ref("support-agent")

inputs.functions.auth › secret

Optional. Reference to a secret.

The secret sent when a run does not choose one.

Secrets are not part of a project: create them in the portal, with the SDK or with mt secret-create before you deploy.

secret = @ref("orders-api-key")

inputs.functions.auth › header

Optional. Text. Default: "Authorization".

The HTTP header the secret’s value is sent in.

header = "X-Api-Key"

inputs.functions.auth › description

Optional. Text.

What the input is for, shown to whoever starts a run.

description = "The id of the secret that holds the shop's API key"

inputs.functions.auth › required

Optional. true or false. Default: true.

Whether a run must give the input. A run without a required input is refused, unless the input has a default, which the run then uses.

required = true

The context block

context = { ... }: how an interaction keeps its conversation within the model’s context window, and how many rounds of tool calls an agent may make in one turn. The defaults suit almost every interaction.

context › mode

Optional. One of the values below. Default: "Automatic".

What happens when the conversation no longer fits the model’s context window.

Value	Meaning
None	Nothing until the conversation reaches the model’s hard limit; then it is shortened just enough to be sent.
Automatic	The conversation is shortened once it passes the target share of the window: large tool results first, then the oldest turns in the middle, with a notice that it was trimmed.
Aggressive	Accepted, and trims as Automatic does.
FailOnOverflow	No trimming: a conversation that no longer fits makes the run fail, instead of going on without part of it.

mode = "Automatic"

context › targetUtilization

Optional. Number. Default: 0.9.

How full the context window may get, as a fraction from 0 to 1, before the conversation is shortened.

targetUtilization = 0.8

context › toolResultTrimming.mode

Optional. One of the values below. Default: "OnOverflow".

When the results of earlier tool calls are replaced, to save space.

Value	Meaning
Never	Never: tool results are kept as they came back.
OnOverflow	When the conversation no longer fits the context window.
AfterCycles	Once an agent has had a set number of turns: every result but the latest.
Both	Both: after a set number of turns, and whenever the conversation no longer fits.

toolResultTrimming.mode = "Never"

context › toolResultTrimming.maxCycles

Optional. Whole number. Default: 3.

For toolResultTrimming.mode = "AfterCycles" or "Both": once an agent has had this many turns, every tool result but the latest is replaced.

toolResultTrimming.maxCycles = 6

context › toolResultTrimming.replacement

Optional. Text. Default: "[Tool result trimmed to reduce context size]".

The text a replaced tool result becomes, with toolResultTrimming.style = "Placeholder".

toolResultTrimming.replacement = "[Tool result trimmed to reduce context size]"

context › toolResultTrimming.style

Optional. One of the values below. Default: "Placeholder".

What a replaced tool result becomes.

Value	Meaning
Placeholder	The same replacement text for every result.
Digest	A digest of what was there: which tool was called, with what, how large the result was, and how it began. Made without a model call, so it costs nothing.

toolResultTrimming.style = "Digest"

context › compaction.type

Optional. One of the values below. Default: "None".

Whether, and how, older parts of a long conversation are summarised to make room. Suits long, many-turn conversations such as chats.

Value	Meaning
SameAgent	The agent summarises its own conversation. Usually the best summary, since the agent already understands it, but an agent with strict instructions may refuse.
StandaloneAgent	A separate call, without the agent’s instructions, writes the summary, so one is always made. It loses the agent’s own understanding.
None	No summaries: the conversation is only trimmed.

compaction.type = "SameAgent"

context › compaction.atUtilization

Optional. Number. Default: 0.85.

How full the context window gets, as a fraction from 0 to 1, before the conversation is summarised.

compaction.atUtilization = 0.75

context › compaction.keepRecentTokens

Optional. Whole number. Default: 8000.

The most recent part of the conversation kept word for word when it is summarised, in tokens.

compaction.keepRecentTokens = 16000

context › compaction.targetTokens

Optional. Whole number. Default: 4000.

The length the summary aims for, in tokens.

compaction.targetTokens = 8000

context › maxToolCallLoops

Optional. Whole number. Default: 10.

The most rounds of tool calls an agent may make in one turn. After that its tools are withheld and it must answer. 0 means no limit.

maxToolCallLoops = 12

context › responseMaxTokens

Optional. Whole number. Default: 32000.

The most the model may write in one reply, in tokens, including any reasoning. 0 allows the model’s maximum. A value above the model’s maximum is lowered to it; a reply that reaches the limit is kept as far as it got.

responseMaxTokens = 64000

context › compaction.maxTokens

Optional. Whole number. Default: 40000.

The most a summary may be, in tokens. Used only with compaction.type set.

compaction.maxTokens = 80000

The loom block

loom = { ... } on an interaction: long-term memory for its agents. A bare loom = { enabled = true } gives each agent a fresh memory for every run, with suggested recall and suggested weaving.

loom › enabled

Optional. true or false. Default: true.

Turns memory on. false keeps the settings but leaves memory off.

enabled = true

loom › scope

Optional. One of the values below. Default: "Process".

Whose memory a run uses, and so whether it lasts beyond one run.

Value	Meaning
Process	A fresh loom for every run. One caller’s threads never reach another’s run.
Interaction	One loom per agent (or one for the interaction, when shared) that lasts across every run.
Input	One loom per value of the run input named by the scope input, such as one per user.

scope = "Input"

loom › scopeInput

Optional. Text.

For scope = "Input": the run input whose value picks the memory, such as "userName".

scopeInput = "userName"

loom › shared

Optional. true or false. Default: false.

All the interaction’s agents share one memory. Otherwise each agent has its own.

shared = true

loom › recall

Optional. One of the values below. Default: "Suggest".

How remembered threads come back into a conversation.

Value	Meaning
Off	Nothing is offered: the agent searches its memory only when it chooses to.
Suggest	The agent is told what may connect, and chooses whether to recall it.
Surface	The relevant threads are shown in the conversation straight away.

recall = "Suggest"

loom › weave

Optional. One of the values below. Default: "Suggest".

How new memories are made from a conversation.

Value	Meaning
Manual	Only the agent weaves, with its LoomWeave tool.
Suggest	The weaver reads each exchange and offers what may be worth keeping; the agent decides.
Auto	The weaver weaves weak threads directly; use strengthens them, and disuse lets them fade.

weave = "Auto"

loom › tapestryTokens

Optional. Whole number. Default: 1500.

How long the “what you know” summary an agent is given when a conversation starts may be, in tokens.

tapestryTokens = 3000

loom › subjectInputs

Optional. List of text.

Run inputs that name who the agents are working with, such as "userName", so memories are about the right person.

subjectInputs = [ "userName" ]

loom › nightWeaving

Optional. true or false. Default: true.

Tidy up the memories this interaction creates once a conversation goes quiet: summarise it, merge duplicates, note contradictions and write a short portrait of each person.

nightWeaving = true

loom › quietMinutes

Optional. Whole number. Default: 15.

Minutes without activity before night weaving starts.

quietMinutes = 5

loom › weaverModel

Optional. Text.

The catalogue model that reads conversations to make memories and to night-weave, such as "anthropic.haiku-4.5". The agent’s own model when not set.

weaverModel = "deepseek.deepseek-v4-flash"

loom › vetModel

Optional. Text.

A lightweight catalogue model, such as "anthropic.haiku-4.5", that checks what memory offers an agent in the middle of a conversation and drops what does not belong. Off when not set.

vetModel = "deepseek.deepseek-v4-flash"

loom › vetRecall

Optional. true or false. Default: false.

The vetModel also checks what an agent’s own searches of its memory bring back.

vetRecall = true

loom › seedFrom

Optional. Reference to a loom.

A named loom every memory this interaction creates starts from: a new person’s memory starts knowing what the shared loom knows.

seedFrom = @ref("family")

loom › readFrom

Optional. List of references to looms.

Named looms the agents may read but never change.

readFrom = [ @ref("family") ]

The swarm block

swarm = { interactions = [ @ref("country-facts") ] maxConcurrent = 5 }: other interactions this one’s agents may start as sub-runs, wait for and combine. An agent also needs allowSwarm = true.

swarm › interactions

Required. List of references to interactions.

The interactions that may be started. Nothing else can be. They may be declared in the same project, this one included.

interactions = [ @ref("country-facts") ]

swarm › participants

Optional. List of text.

The seats (by name) that may start them. Every seat whose agent allows it when not set.

participants = [ "Lead" ]

swarm › maxDepth

Optional. Whole number.

How many levels of sub-runs may be started below this one. 1 when not set; at most 4.

maxDepth = 2

swarm › maxConcurrent

Optional. Whole number.

How many sub-runs may run at once, across the whole tree. 5 when not set; at most 20.

maxConcurrent = 5

swarm › maxTotal

Optional. Whole number.

How many sub-runs may be started in all, across the whole tree. 20 when not set; at most 100.

maxTotal = 10

The agents › webAccess block

A participant’s built-in web tools: webAccess = { search = true fetch = false }. Leave either out to keep its agent’s own setting.

webAccess › search

Optional. true or false.

Gives (true) or takes away (false) the web search tool.

search = true

webAccess › fetch

Optional. true or false.

Gives (true) or takes away (false) the web fetch tools.

fetch = true

The functions.openApi › auth block

A credential sent with every call of a tool: auth = { header = "X-Api-Key" secret = @ref("orders-api-key") }. The tool’s connector needs auth = "Header".

The same block is used for agents › functions.openApi › auth.

auth › header

Required. Text.

The HTTP header the secret’s value is sent in. For Authorization, a value without a space is sent as Bearer <value>.

header = "X-Api-Key"

auth › secret

Required. Reference to a secret.

The secret whose value is sent. Create the secret before you deploy.

Secrets are not part of a project: create them in the portal, with the SDK or with mt secret-create before you deploy.

secret = @ref("orders-api-key")

A complete example

From the 20-memory example project:

interactions/round-robin/wren-chat.mtr

// A one-to-one conversation with Wren, a companion who remembers.
//
// Each person gets their own loom (scope = "Input" on userName), so Wren wakes up knowing whoever
// it is talking to, and never mixes one person's threads into another's conversation.

agents = [
  {
    name = "Wren"
    agent = @ref("wren")
  }
]

task = @prompt("wren-chat")

inputs.prompts = [
  {
    name = "userName"
    required = true
  }
]

features = {
  voting = false
  noAction = false
  directQuestions = false
  solutionProposal = false
}

human = {
  first = true
  solutions = false
}

loom = {
  enabled = true
  // One loom per value of the userName input: one memory per person.
  scope = "Input"
  scopeInput = "userName"
  // Memories are about the person named by userName.
  subjectInputs = [ "userName" ]
  // A weaver reads every exchange and keeps what is worth keeping. Wren can also weave and recall itself.
  weave = "Auto"
  recall = "Suggest"
  // Five quiet minutes after a conversation, night weaving tidies the memory up.
  nightWeaving = true
  quietMinutes = 5
}