System And Method for Dynamically Configuring and Managing A Heterogeneous Network With Artificial Intelligence (AI)

A computing system, comprising:

• a processing system comprising one or more processors configured to:
• receive a request that identifies a network management task and associated service targets;
• form a token set comprising schema-defined tokens that represent network context, wherein the network context includes the service targets and at least one or more of device capability, policy, topology, or telemetry;
• assign positional encodings to the token set to generate an ordered token sequence;
• invoke a transformer model to process the ordered token sequence and to generate a configuration patch;
• validate the configuration patch via a schema-constrained decoder that enforces a device grammar;
• apply the configuration patch to the target network device;
• read back applied device state and telemetry from the target network device to obtain a read-back state;
• determine whether the telemetry deviates from the service targets;
• and
• generate a further configuration patch that modifies only a bounded subset of parameters relative to the read-back state responsive to determining that the telemetry deviates from the service targets.

A non-transitory processor-readable medium having stored thereon processor-readable instructions configured to cause one or more processors of a network control function (NCF) that operate an integrated control path for a target network device to perform operations, the operations comprising:

• receiving a request that identifies a network management task and associated service targets;
• forming a token set comprising schema-defined tokens that represent network context, wherein the network context includes the service targets and at least one or more of device capability, policy, topology, or telemetry;
• assigning positional encodings to the token set to generate an ordered token sequence;
• invoking a transformer model to process the ordered token sequence and to generate a configuration patch;
• validating the configuration patch via a schema-constrained decoder that enforces a device grammar;
• applying the configuration patch to the target network device;
• reading back applied device state and telemetry from the target network device to obtain a read-back state;
• determining whether the telemetry deviates from the service targets;
• and
• generating a further configuration patch that modifies only a bounded subset of parameters relative to the read-back state responsive to determining that the telemetry deviates from the service targets.