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Agent Network Project File Reference

Configure and publish your agent network using two key files: agent-network.yaml and exchange.json. The agent-network.yaml file defines agent behaviors, tools, and inter-agent communication, while exchange.json contains metadata for Anypoint Exchange publication. Understanding these files enables you to orchestrate multi-agent systems with external services and manage asset dependencies across your organization.

Agent Network YAML

The agent network YAML file defines a structured configuration for multi-agent systems, enabling orchestration of AI agents with external services, tools, and inter-agent communication. This format provides a declarative way to define agent capabilities, dependencies, and service integrations.

For example, think of the YAML as your organizational chart for digital labor. Each internal organization (for example, HR, IT, Sales, or Engineering) has a hierarchical structure through which actors collaborate. Jobs are split into tasks and assigned.

Just like with human labor, digital agents require coordination. We call these coordinators "brokers". These are special types of agents in your agent network capable of receiving a user prompt, identifying the goal, determining the necessary steps to be carried out, and delegating each step to the proper agent, even if the agent is part of a different broker.

The agent-network.yaml file uses these sections.

Brokers Section

brokers

This section defines the AI assets in your agent network. A broker is an intelligent routing service that coordinates task delegation across specialized agents in your enterprise. It’s defined by the agents and MCP servers it can use to accomplish tasks. The broker name is used as the assetId in the exchange.json file. The groupId defaults to the associated business group value used in exchange.json.

Parameter Description Type Valid Values

brokers

The list of brokers defined in your agent network.

Object

Object with property names matching this pattern: ^[a-zA-Z_][a-zA-Z0-9_.-]*$. The name must start with a letter or an underscore and can contain letters, numbers, underscores, dots, or hyphens. The name cannot be: default, defaults, system, local, null

The broker element has these properties.

Parameter Description Type Valid Values Required

card

Agent card definition.

Object

Refer to the card object properties.

Yes

spec

Broker specification.

Object

Refer to the spec object properties.

Yes

Card Section

card

This section adheres to the Agent-to-Agent (A2A) specification v0.3.0 and describes the broker’s contract, skills, and capabilities. This is a standard A2A agent card as defined in the Agent2Agent (A2A) Protocol specification..

The card element has these properties.

Parameter Description Type Valid Values Required

protocolVersion

The version of the A2A protocol this agent supports.

String

A2A protocol version (for example, "0.3.0")

No

name

A human-readable name for the agent.

String

Any string value

No

description

A human-readable description of the agent, assisting users and other agents in understanding its purpose.

String

Any string value

No

url

The preferred endpoint URL for interacting with the agent. This URL must support the transport specified by 'preferredTransport'.

String (URI)

Valid URI string

No

preferredTransport

The transport protocol for the preferred endpoint (the main 'url' field).

String

JSONRPC, GRPC, HTTP+JSON. Defaults to JSONRPC

No

additionalInterfaces

A list of additional supported interfaces (transport and URL combinations).

Array

Array of interface objects (See AdditionalInterfaces properties)

No

iconUrl

An optional URL to an icon for the agent.

String (URI)

Valid URI string

No

provider

Information about the agent’s service provider.

Object

Object with provider properties (See provider properties)

No

version

The agent’s own version number. The format is defined by the provider.

String

Version string (for example, "1.0.0")

No

documentationUrl

An optional URL to the agent’s documentation.

String (URI)

Valid URI string

No

capabilities

A declaration of optional capabilities supported by the agent.

Object

Object with capability properties (See capabilities properties)

No

securitySchemes

A declaration of the security schemes available to authorize requests.

Object

Keys are scheme names; values follow the OpenAPI 3.0 Security Scheme Object

No

security

A list of security requirement objects that apply to all agent interactions.

Array

Array of security requirement objects

No

defaultInputModes

Default set of supported input MIME types for all skills, which can be overridden on a per-skill basis.

Array of strings

Array of MIME type strings (for example, ["application/json", "text/plain"])

No

defaultOutputModes

Default set of supported output MIME types for all skills, which can be overridden on a per-skill basis.

Array of strings

Array of MIME type strings (for example, ["application/json", "text/plain"])

No

skills

The set of skills, or distinct capabilities, that the agent can perform.

Array

Array of skill objects (See skills properties)

No

supportsAuthenticatedExtendedCard

Indicates if the agent can provide an extended agent card with additional details to authenticated users.

Boolean

true or false. Defaults to false

No

signatures

JSON Web Signatures computed for this AgentCard.

Array

Array of signature objects

No

provider Properties

Parameter Description Type Valid Values Required

organization

The name of the organization providing the agent.

String

Any string value

No

url

The URL of the organization.

String (URI)

Valid URI string

No

additionalInterfaces Properties

Parameter Description Type Valid Values Required

url

The URL for this additional interface.

String (URI)

Valid URI string

Yes

transport

The transport protocol for this interface.

String

JSONRPC, GRPC, HTTP+JSON

Yes

skills Properties

Parameter Description Type Valid Values Required

id

Unique identifier for the skill.

String

Any string value

No

name

A human-readable name for the skill.

String

Any string value

No

description

A description of what this skill does.

String

Any string value

No

examples

Usage examples demonstrating how to use this skill.

Array of strings

Array of example strings

No

inputModes

Supported input MIME types for this skill (overrides defaultInputModes).

Array of strings

Array of MIME type strings

No

outputModes

Supported output MIME types for this skill (overrides defaultOutputModes).

Array of strings

Array of MIME type strings

No

tags

Categorization tags for this skill.

Array of strings

Array of tag strings

No

capabilities Properties

Parameter Description Type Valid Values Required

streaming

Indicates if the agent supports streaming responses.

Boolean

true or false

No

pushNotifications

Indicates if the agent supports push notifications.

Boolean

true or false

No

stateTransitionHistory

Indicates if the agent maintains state transition history.

Boolean

true or false

No

extensions

List of extension capabilities supported by the agent.

Array

Array of extension objects (See extensions properties)

No

extensions

Example

brokers:
  employee-onboarding-broker:     # The name that the agent (broker) will be referenced by. This value is used as the asset ID in Anypoint Exchange.
    card:
      protocolVersion: 0.3.0      # A2A protocol version that the broker supports.
      name: Employee Onboarding Broker
      description: This agent acts as a broker for employee onboarding. It orchestrates the onboarding process by leveraging available tools to ensure new employees have access to all of the required systems for their daily work.
      url: ${agentregistry.url}/employee-onboarding-broker   # URL where the broker is hosted. Represents the preferred endpoint as declared by the broker.
      provider:
        organization: MuleSoft
        url: https://www.mulesoft.com/
      defaultInputModes:         # Supported media types for input
        - application/json
        - text/plain
      defaultOutputModes:        # Supported media types for output
        - application/json
      skills:
        - id: onboarding-agent
          name: Onboarding Agent
          description: This agent acts as a broker. It orchestrates the use of specialized tools and agents, including MCP (Model Context Protocol) servers, to manage employee onboarding.
          examples:                # Usage examples
            - Onboard a new sales employee. Employee name is 'Alex Smith', email is 'alex.smith@example.com', and phone number is '555-123-4567'.
          inputModes:
            - application/json
            - text/plain
          outputModes:
            - application/json
            - text/plain
          tags: [onboarding]      # Categorization tags
      capabilities:
        streaming: false
        pushNotifications: false
        stateTransitionHistory: false
        extensions:
          - uri: "https://example.com/ext/konami-code/v1"
            description: "Description text"
            required: false
            params:
              hints: "Hint text"
      version: 1.0.0		          # Agent (broker) version

The extensions element has these properties.

Parameter Description Type Valid Values Required

uri

URI identifying the extension.

String (URI)

Valid URI string

No

description

Description of the extension.

String

Any string value

No

required

Indicates if this extension is required.

Boolean

true or false

No

params

Parameters for the extension.

Object

Any object (for example, {"hints": "Hint text"})

No

Spec Section

spec

This section configures the broker’s internal implementation. You can think of this section as the source code for your broker.

In this section, specify the LLM to use, custom instructions, available tools, and error handling. The links section defines the agents that are available to this broker. Essentially, the links section is where you define the agent network.

The spec element has these properties.

Parameter Description Type Valid Values Required Default

llm

LLM configuration for the broker.

Object

See LLM

Yes

-

instructions

Set of custom instructions that will inform the orchestration.

Array of strings

Array of instruction strings

Yes

-

links

Defines the list of agents that this agent connects to.

Array

Array of link objects (See Links)

Yes

-

maxNumberOfLoops

The maximum number of steps that a task can take. Useful for keeping orchestrations from running too long and consuming too many tokens.

Integer

Positive integer

No

25

maxConsecutiveErrors

The maximum number of errors that the orchestrator will attempt to recover from before returning a failed status.

Integer

Positive integer

No

3

taskTimeoutSecs

A timeout (in seconds) for how long each orchestration task should run.

Integer

Positive integer

No

60

tools

The tools available to this broker.

Array

Array of tool objects (See Tools)

No

-

policies

Policy bindings to be applied.

Array

Array of PolicyBinding objects (See Policies)

No

-

LLM Section

llm

The value of this section is a reference to one of the LLMs defined in Anypoint Exchange or in the llmProviders section of agent-network.yaml. Because it’s a reference, you can choose to share the same LLM across all the brokers in your agent network. Or, you can have different brokers use different LLMs to better suit their tasks.

Agent network brokers support OpenAI models. The model you use must support:

  • The /responses endpoint

  • Reasoning

  • Native structured output

  • Function and Custom tool calling

GPT-5-mini and GPT-5.1 meet these requirements. GPT-5-mini and GPT-5.1 meet these requirements. Evaluate the different models to find the right balance for your needs. For lower latency, consider smaller models like GPT-5-mini.

The llm element has these properties.

Parameter Description Type Valid Values Required

ref

The reference to the LLM to be used by the orchestrator.

String

See LLM Providers

Yes

connection.ref

Connection reference.

String

See Connections

No

configuration.model

The name of the model to use.

String

Model name string

Yes

configuration.openAI

OpenAI specific configuration settings.

Object

Object with OpenAI settings

No

configuration.openAI.reasoningEffort

Constrains reasoning effort for reasoning models. Useful for managing performance and reason-token usage.

String

  • NONE (default for GPT-5.1)

  • MINIMAL

  • LOW

  • MEDIUM (default for versions previous to GPT-5.1)

  • HIGH

No

configuration.openAI.temperature

Controls randomness in the output. Requires GPT-5.1 and reasoningEffort set to NONE.

Number

Any number

No

configuration.openAI.topP

Nucleus sampling parameter. Requires GPT-5.1 and reasoningEffort set to NONE.

Number

Any number

No

configuration.openAI.topLogprobs

Number of most likely tokens to return at each position. Requires GPT-5.1 and reasoningEffort set to NONE.

Integer

Any integer

No

configuration.openAI.maxOutputTokens

Maximum number of tokens to generate.

Integer

Any integer

No

Instructions Section

instructions

Provides instructions that are specific to the broker. Instructions often focus on business-oriented concerns. For example, here’s instructions for an employee onboarding broker.

instructions:
- |
  You're an Employee Onboarding Broker. Coordinate onboarding of a new employee across the systems needed for day-to-day work.
  ## The process for onboarding an employee is:
  - Onboard in HR: Create the new employee record. Fetch the address using available tools. Don't ask for the address unless you're not sure how to get it.
  - Onboard in CRM: Create the employee's CRM profile.
  - Send a Slack status update using SlackMcpServer.send_status_update (include contextId from input).
  - Request an employee laptop in Zendesk and initiate the employee badge request.
  - Send another Slack status update using SlackMcpServer.send_status_update (include contextId from input).
  - IT system setup: Provision the ping ID system for the employee.
  ## Final Response
  - Return a plain-text human-readable summary of all steps and actions taken, formatted as a bulleted list. Don't include tool names in the summary.

Here’s another example of instructions for a customer service broker. This broker coordinates management of customer-reported incidents.

     instructions:
        - |
          You're an Incident Management Broker. Your primary responsibility is to coordinate the resolution of incidents reported by customers.
          The process for incident management is:
            1. Fetch CRM case details: Retrieve the latest critical case details for the customer.
            2. Fetch entitlement details: Obtain the customer's entitlement information.
            3. Fetch on-call engineer: Identify the current on-call engineer for the incident.
            4. Create Slack war room and invite on-call engineer: Set up a Slack war room channel and invite the on-call engineer.
            5. Summarize actions: Provide a clear, human-readable summary of the steps performed, including information about the created Slack channel and the on-call engineer assigned.

You don’t have to provide instructions like "split the prompt into tasks", or "select the best tool". The broker does that on its own.

The instructions element has these properties.

Parameter Description Type Valid Values Required

instructions

Set of custom instructions that will inform the behavior of the broker.

Array of strings

Array of instruction strings. Each item in the array is a string containing custom instructions for the broker

Yes

instructions[]

Individual instruction string.

String

Any string value. Typically contains business-oriented instructions, process descriptions, or guidelines for the broker’s behavior.

-

Tools Section

tools

Tools provide agents with external capabilities. When a broker needs to access an external service that’s not another agent, it reaches out to an MCP server.

By default, the broker has access to all the tools available on the MCP server. However, most modern LLMs can only handle around 20 to 25 tools per context before starting to hallucinate. Limit the available tools to the minimum needed. You can apply that filtering through the allowed list.

Example

tools:
  - mcp:
      ref:
        name: talent-pool-mcp         # Exchange asset ID of MCP server. By default, the groupId for this asset is the same as that in exchange.json.
      allowed:                        # Allowlist specific tools
        - TalentPoolMcpServer.match_email_to_address
  - mcp:
      ref:
        name: slack-mcp
      allowed:
        - SlackMcpServer.send_status_update

The tools element has these properties.

Parameter Description Type Valid Values Required

mcp.ref

The reference to the MCP server that is available to this broker.

String

See MCP Servers

Yes

mcp.connection.ref

Connection reference.

String

See Connections

No

mcp.allowed

Filters the list of tools advertised by the MCP server to only those in this list. Mutually exclusive with 'denied'.

Array of strings

Array of tool name strings

No

links

This section is the most important part of the spec, as it defines the agents that are available to a broker. It enables interagent communication and orchestration. The broker relies on the agents linked here to execute the appropriate actions to complete a user’s goal.

Example 1

links:
  - agent:
      ref:
        name: hr-agent        # Exchange asset ID of the linked agent. By default, the groupId for this asset is the same as that in exchange.json.
        namespace:            # Optional. If the asset was defined in a different business group, set the corresponding groupId here.
  - agent:
      ref:
        name: badging-agent
  - agent:
      ref:
        name: crm-agent
  - agent:
      ref:
        name: zendesk-agent
  - agent:
      ref:
        name: it-agent

Keep this section short. Don’t add all available agents. Just like tools, excess values here lead to drops in agent network accuracy and determinism.

Instead, use a multi-level hierarchical approach. This favors traceability and management and helps keep context sizes in check.

Example 2

In this example, the Onboarding Broker orchestrates the process of onboarding a new hire. It orchestrates work with the IT, HR and security brokers, which also happen to be brokers in the same agent network.

Assets, IT Stock, HR, Payroll, and Badges agents are also called leaf agents. These aren’t brokers but preexisting agents whose purpose isn’t to coordinate work, but to act.

Diagram showing an employee onboarding broker and its agents

The links element has these properties.

Parameter Description Type Valid Values Required

links

Defines the list of agents that this agent connects to. This defines the agent network and enables inter-agent communication and orchestration.

Array

Array of link objects

Yes

links[]

A link object in the links array.

Object

Object with agent property

Yes

links[].agent

Agent connection configuration.

Object

Object with agent properties

Yes

links[].agent.ref.name

Exchange asset ID of the linked agent. This references the assetId that the agent has in Anypoint Exchange, not the human-friendly name.

String

Asset ID string (for example, "hr-agent", "crm-agent"). By default, the groupId for this asset is the same as that in exchange.json

Yes

links[].agent.ref.namespace

Business group ID (groupId) where the asset is defined. Use this when the asset was defined in a different business group than the current one.

String

Group ID string. To find the groupId, look in the dependencies section in exchange.json

No

links[].agent.connection.ref

Connection reference.

String

See Connections. This references a connection defined in the connections section

No

Policies Section

policies

The policies section contains the list of policies to apply to the broker. It contains a reference to the policy that needs to be added as a dependency to the agent network project.

Example

policies:
  - ref:
      name:          		# Exchange asset ID of the policy. By default, the groupId for this asset is the same as that in exchange.json.
      namespace:     		# Optional. If the policy was defined in a different business group, set the corresponding groupId here.
    configuration:
      policyConfig1: policyConfig1Value

Apply policies at the broker or at the connection. Reference the policy definition and apply the configuration to set.

The policies element has these properties.

Parameter Description Type Valid Values Required

ref

Policy reference.

String

See Policies

Yes

configuration

Policy configuration.

Object

Any object

Yes

When you add governance policies to your project, those policies persist between deployments. However, if you add governance policies at runtime, those policies won’t persist.

Error Handling

Use these properties to handle error scenarios. Define these properties within the spec section of a broker configuration.

Parameter Description Type Valid Values Required Default

maxNumberOfLoops

The maximum number of steps that a task can take. Useful for keeping orchestrations from running too long and consuming too many tokens.

Integer

Positive integer

No

25

maxConsecutiveErrors

The maximum number of errors that the orchestrator will attempt to recover from before returning a failed status.

Integer

Positive integer

No

3

taskTimeoutSecs

A timeout (in seconds) for how long each orchestration task should run.

Integer

Positive integer (seconds)

No

60

Error Handling Considerations

  • maxNumberOfLoops

    • Each step in an orchestration consumes tokens.

    • Complex tasks may require more steps.

    • Simple tasks should complete with fewer steps.

    • The default of 25 maximum loops is suitable for most use cases.

  • maxConsecutiveErrors

    • Allows the orchestrator to retry failed operations.

    • Prevents infinite retry loops.

    • Default of 3 attempts provides a balance between resilience and failure detection. After reaching this limit, the orchestration returns a failed status.

  • taskTimeoutSecs

    • Applies to each individual orchestration task.

    • Accounts for network latency and external service response times.

    • Default of 60 seconds is suitable for most API-based operations. Tasks exceeding this timeout are terminated.

Agents Section

agents

Reference agents defined in a different agent network, or another agent used in your company. Any agent is valid, as long as it supports A2A as its communication protocol.

Example

agents:
  hr-agent:			# Used as the assetId of the asset published to Anypoint Exchange. The default groupId is the associated value used in exchange.json.
    metadata:
       platform: azure
       protocol: a2a
  badging-agent:
    metadata:
      platform: azure
      protocol: a2a
  crm-agent:
    metadata:
      platform: azure
      protocol: a2a
  zendesk-agent:
    metadata:
      platform: azure
      protocol: a2a
  it-agent:
    metadata:
      platform: azure
      protocol: a2a

The agents element has these properties.

Parameter Description Type Valid Values Required

label

A label for this agent.

String

Any string value

No

description

A description for this agent.

String

Any string value

No

tags

Tags associated with this agent.

Array

Array of string values

No

card

Agent card definition.

Object

See Card

No

metadata

Agent metadata configuration.

Object

Object with protocol property

Yes

metadata.platform

The name of the platform running this agent. For example, Bedrock, AgentForce, etc.

String

Any string value

No

metadata.protocol

The name of the protocol. For example, a2a.

String

a2a, other

Yes

metadata.links

Defines the list of agents that this agent connects to.

Array

Array of objects with agent.ref property

No

metadata.tools

Defines the list of tools that this agent connects to.

Array

Array of objects with mcp.ref property

No

MCP Servers Section

mcpServers

This section lists the MCP servers in your agent network. Use these servers to obtain relevant context and generate notifications. To apply governance to an MCP server using the agent network file, it must be in your agent-network.yml file or published to Anypoint Exchange as an asset.

Example

mcpServers:
  talent-pool-mcp:                    # Value used as the assetId in exchange.json. The groupId defaults to the associated value used in exchange.json.
    metadata:
      transport:                      # Communication method
        kind: streamableHttp          # HTTP-based transport
        path: /mcp
        # OR
        sse:                          # Server-Sent Events transport
          ssePath: /sse
          messagesPath: /messages
      tools:                          # Server-level tool filtering
        allowed: [tool1, tool2]
  slack-mcp:
    metadata:
      transport:
        kind: streamableHttp
        path: /mcp

We support both MCP streamableHttp and SSE transports, but we recommend streamableHttp.

Just like in the brokers section, an allowed attribute is available to filter the available tools. The allowed attribute in the brokers section is more granular and applied only to that specific broker. In the mcpServers section, this attribute applies to the MCP server as a whole, filtering at the group level.

The mcpServers element has these properties.

Parameter Description Type Valid Values Required

label

A label for this MCP server.

String

Any string value

No

description

A description for this MCP server.

String

Any string value

No

tags

Tags associated with this MCP server.

Array

Array of string values

No

metadata

MCP server metadata configuration.

Object

See MCP Servers

Yes

metadata.transport

Communication method configuration for the MCP server.

Object

Object with transport properties

No

metadata.transport.kind

The transport protocol type.

String

streamableHttp, sse

Yes

metadata.transport.path

The path for the streamableHttp transport.

String

Any string value (for example, /mcp)

No

metadata.transport.sse.ssePath

The SSE path for Server-Sent Events transport.

String

Any string value (for example, /sse)

No

metadata.transport.sse.messagesPath

The messages path for Server-Sent Events transport.

String

Any string value (for example, /messages)

No

metadata.tools

Server-level tool filtering configuration.

Object

Object with allowed array property

No

metadata.tools.allowed

Filters the list of tools advertised by the MCP server to only those in this list.

Array

Array of tool name strings

No

LLMProviders Section

llmProviders

Configure the LLMs the brokers use for reasoning. For supported LLMs, see Building Agent Networks for Agent Fabric.

The llmProviders element has these properties.

Parameter Description Type Valid Values Required

llmProviders

The list of LLM providers defined as part of this network.

Object

Object with property names matching pattern: ^[a-zA-Z_][a-zA-Z0-9_.-]*$ (must start with letter or underscore, can contain letters, numbers, underscores, dots, hyphens). Each property value is an llmEntity object

-

label

A label for this LLM.

String

Any string value

No

description

The description of this LLM.

String

Any string value

No

metadata

LLM metadata configuration.

Object

Either WellKnownLLM or CustomLLM object (See metadata properties)

Yes

metadata Properties

The metadata property uses a oneOf structure, so it must be either a WellKnownLLM or a CustomLLM object but not both.

The WellKnownLLM object has these properties.

Parameter Description Type Valid Values Required

platform

The LLM platform provider.

String

OpenAI, AzureOpenai

Yes

models

List of available models for this platform.

Array of strings

Array of model name strings

No

The CustomLLM object has these properties.

Parameter Description Type Valid Values Required

platform

The LLM platform provider name.

String

Any string value

Yes

models

List of available models for this platform.

Array of strings

Array of model name strings

No

transcoder.ref

Reference to the transcoder policy.

String

See Policies

No

Connections Section

connections

The connections section defines one or more connections to instances of an agent network asset. For example, if an agent is deployed multiple times across regions and environments, you can define a connection for each deployed agent instance, regardless of whether it’s used by a broker or not.

Connections are elements that are deployed, but they don’t have Exchange assets that represent them. They’re connected to assets (agents, MCP servers, LLMs). They’re deployed in API Manager in the egress gateway.

To define multiple connections for the same asset, put them in a resource file and reference the file in this section.

Example

connections:
  hr-agent:
    kind: agent
    ref:
      name: hr-agent                # Use the same name as in the associated entry in the agents section or use the Exchange asset ID.
    spec:
      url: https://hr-a2a-agent-inkbh1.paga8m.usa-w1.cloudhub.io/hr-agent/
      authentication:
        kind: oauth2-client-credentials
        token:
           bodyEncoding: form
           timeout: 300
           url: test.com            # Use a variable
        clientId: clientId          # Use a variable like ${hrAgent.clientId} and define in in exchange.json so the user is prompted for the value at deployment.
        clientSecret: clientSecret  # Use a variable

  badging-agent:
    kind: agent
    ref:
      name: badging-agent
    spec:
      url: https://badge-agent-inkbh1.paga8m.usa-w1.cloudhub.io/badge-agent/
      authentication:
        kind: oauth2-client-credentials
        token:
          bodyEncoding: form
          timeout: 300
          url: test.com
        clientId: clientId
        clientSecret: clientSecret

  crm-agent:
    kind: agent
    ref:
      name: crm-agent
    spec:
      url: https://crm-a2a-agent-inkbh1.paga8m.usa-w1.cloudhub.io/crm-agent/
      authentication:
        kind: oauth2-client-credentials
        token:
          bodyEncoding: form
          timeout: 300
          url: test.com
        clientId: clientId
        clientSecret: clientSecret

  zendesk-agent:
    kind: agent
    ref:
      name: zendesk-agent
    spec:
      url: https://zendesk-a2a-agent-inkbh1.paga8m.usa-w1.cloudhub.io/zendesk/
      authentication:
        kind: oauth2-client-credentials
        token:
          bodyEncoding: form
          timeout: 300
          url: test.com
        clientId: clientId
        clientSecret: clientSecret

  it-agent:
    kind: agent
    ref:
      name: it-agent
    spec:
      url: https://ping-id-a2a-agent-inkbh1.paga8m.usa-w1.cloudhub.io/pingid/
      authentication:
        kind: oauth2-client-credentials
        token:
          bodyEncoding: form
          timeout: 300
          url: test.com
        clientId: clientId
        clientSecret: clientSecret

  my-openAI:
    kind: llm
    ref:
      name: my-openAI
    spec:
      url: ${}
      configuration:
        apiKey: ${openai.apiKey}

  talent-pool-mcp:
    kind: mcp
    ref:
      name: talent-pool-mcp
    spec:
      url: https://talent-pool-mcp-server-inkbh1.paga8m.usa-w1.cloudhub.io/

  slack-mcp:
    kind: mcp
    ref:
      name: slack-mcp
    spec:
      url: https://slack-mcp-server-inkbh1.paga8m.usa-w1.cloudhub.io/

The connections element has these properties.

Parameter Description Type Valid Values Required

connections

The list of connections defined as part of this network.

Object

Object with property names matching pattern: ^[a-zA-Z_][a-zA-Z0-9_.-]*$ (must start with letter or underscore, can contain letters, numbers, underscores, dots, hyphens). Each property value is a ConnectionElement object

-

kind

The type of connection.

String

agent, llm, mcp

Yes

ref

Reference to the asset this connection is for.

Object

Object with reference properties (See ref properties)

Yes

ref.name

Exchange asset ID of the connected asset.

String

Asset ID string. For agents, use the same name as in the associated entry in the agents section or use the Exchange asset ID. For LLMs, use the name from llmProviders. For MCP servers, use the name from mcpServers

Yes

ref.namespace

Business group ID (groupId) where the asset is defined. Use this when the asset was defined in a different business group than the current one.

String

Group ID string. To find the groupId, look in the dependencies section in exchange.json

No

spec

Connection specification. Properties vary by connection kind.

Object

Object with spec properties (See Spec)

Yes

spec.url

The URL for the connection endpoint.

String

Valid URL string

Yes (for agent and llm), No (for mcp)

spec.authentication

Authentication configuration for the connection.

Object

Authentication object (See Authentication types)

No

spec.authentication.kind

The type of authentication.

String

basic, oauth2-client-credentials, apikey-client-credentials, apiKey

Yes (when authentication is specified)

spec.authentication.username

The username for basic authentication.

String

Any string value

Yes (for basic auth)

spec.authentication.password

The password for basic authentication.

String

Any string value

Yes (for basic auth)

spec.authentication.headerName

The name of the header in which to set the key. If not specified, 'Authorization' is set by default.

String

Any string value

No

spec.authentication.clientId

The client ID for OAuth 2.0 or API key client credentials authentication.

String or Object

  • API key client requires an object with value and optional name properties.

  • OAuth 2.0 requires a string value.

Yes (for oauth2-client-credentials and apikey-client-credentials)

spec.authentication.clientSecret

The client secret for OAuth 2.0 or API key client credentials authentication.

String or Object

  • API key client requires an object with value and optional name properties.

  • OAuth 2.0 requires a string value.

Yes (for oauth2-client-credentials and apikey-client-credentials)

spec.authentication.token

Configuration on how to fetch the OAuth 2.0 token.

Object

Object with token properties

Yes (for oauth2-client-credentials)

spec.authentication.token.url

The URL of the token provider.

String

Valid URL string

Yes

spec.authentication.token.timeout

Time in seconds to wait for the service to return the token.

Number

Any number

No

spec.authentication.token.bodyEncoding

The encoding format for the token request body.

String

form, json

No

spec.authentication.scopes

An array of scopes to request for OAuth 2.0.

Array

Array of scope strings

No

spec.authentication.apiKey

The value of the API key for API key authentication.

String

Any string value

Yes (for apiKey)

spec.configuration

LLM-specific configuration object.

Object

Any object

Yes (for llm connections)

spec.policies

Policy bindings to be applied to the connection.

Array

Array of PolicyBinding objects (See Policies)

No

spec.policies[].ref

Policy reference.

Object

Object with name and optional namespace properties

Yes

spec.policies[].ref.name

Exchange asset ID of the policy. By default, the groupId for this asset is the same as that in exchange.json.

String

Asset ID string

Yes

spec.policies[].ref.namespace

Optional. If the policy was defined in a different business group, set the corresponding groupId here.

String

Group ID string

No

spec.policies[].configuration

Policy configuration.

Object

Any object

Yes

Connection Resolution

Connection resolution happens at deployment time. The connection reference can be explicit or implicit.

Explicit

In this example, the connection to use is weather-agent-connection. At deployment, it validates that a connection with the given name exists in the egress gateway on the specified environment.

Example

      - agent:

           ref:

             name: weather-agent

           connection:

             ref:

               name: weather-agent-connection

Implicit

If a connection isn’t specified, it defaults to a connection whose name matches the target asset’s name.

In this example, at deployment a connection to the specified agent asset (weather-agent) is searched for. If it exists, it’s injected. If not, it fails with an exception.

Example

      - agent:

           ref:

             name: weather-agent

Authentication Types

Connection authentication is always expressed in accordance with Open API authentication methods. For supported authentication types, see Building Agent Networks for Agent Fabric.

These examples show how to define each type in YAML.

Basic authentication

authentication:
  type: basic
  username: "username"
  password: "password"

OAuth 2.0 client credentials

authentication:
  type: oauth2-client-credentials
  clientId: "client_id"
  clientSecret: "client_secret"
  tokenUrl: "https://oauth.provider.com/token"
  scopes: ["read", "write"]             # Optional

Anypoint client credentials

authentication:
  type: apikey-client-credentials
  clientId: "client_id"
  clientSecret: "client_secret"

exchange.json File Element

All agent network projects have an exchange.json file. This file contains asset metadata available in Anypoint Exchange after publishing your agent network assets.

Example

{
  "main": "agent-network.yaml",
  "name": "Employee Onboarding Network",
  "classifier": "agent-network",
  "organizationId": "85de5a54-1f33-4ea4-a1bf-8a65bc409179",
  "descriptorVersion": "1.0.0",
  "tags": [],
  "groupId": "85de5a54-1f33-4ea4-a1bf-8a65bc409179",
  "assetId": "employee-onboarding-network",
  "version": "1.0.5",
  "dependencies": [
    {
      "groupId": "85de5a54-1f33-4ea4-a1bf-8a65bc409179",
      "assetId": "hr-agent",
      "version": "1.0.21",
      "classifier": "agent-metadata",
      "packaging": "zip"
    }
  ],
  "metadata": {
    "variables": {
      "openai": {
        "clientId": {
          "description": "OpenAI LLM Client ID",
          "default": ""
        },
        "clientSecret": {
          "description": "OpenAI LLM Client Secret",
          "default": "",
          "secret": true
        },
        "url": {
          "description": "OpenAI URL",
          "default": "",
          "secret": false
        }
      }
    }
  }
}

These key-value pairs are important for your agent network configuration.

groupId

ID of the Anypoint business group that owns your agent network and all the assets derived from it.

assetId

Unique identifier for the agent network project.

dependencies

Existing assets that this network needs to reference.

variables

Nested in the metadata section, defines all the variables whose values shouldn’t be hardcoded in the agent network YAML file. Enter these values when publishing the agent network. Each variable has a description value, a default value, and a secret value that indicates whether it’s treated as sensitive or not.

When the agent network is published, all the assets derived from it share the same groupId (business group) defined in the exchange.json file.

Ref Element

The ref element is used in different elements in the agent network YAML, and is important for your agent network configuration.

The ref element represents another asset that exists in Exchange. The type of asset referenced depends on the context (such as agent, MCP server, LLM provider). The semantic is always that of referencing an asset that exists in Exchange, or will exist when the agent network is published (meaning, it’s defined in the file). If referenced, it’s in the dependencies section of exchange.json.

This snippet represents a link to an HR agent. The name attribute doesn’t point to the agent’s human friendly or logical name (which can change); instead, it references the assetId that hr-agent has in Exchange.

     links:
        - agent:
            ref:
              name: hr-agent

The hr-agent asset can either exist already, or can be defined in this same YAML. In either case, the Exchange assetId is the key to this reference.

In some cases, the ref element needs to point to an asset that’s defined in a different business group. For this, the ref#namespace attribute can be used to reference the asset’s groupId. To find the groupId, look in the dependencies section in the exchange.json file.

links:
        - agent:
            ref:
              name: hr-agent
              namespace: <the groupId>