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MistralAgent

What it is​

A thin wrapper around naas_abi_core’s IntentAgent configured to use the Mistral Large model with a predefined system prompt and a small set of coding/documentation-related intents.

Public API​

  • Constants

    • AVATAR_URL: Public avatar image URL.
    • NAME: "Mistral".
    • DESCRIPTION: Short description of the agent/model.
    • SYSTEM_PROMPT: System prompt defining behavior and “self-recognition” rules.
    • SUGGESTIONS: Empty list (no suggestions provided).

  • Functions

    • create_agent(agent_shared_state: Optional[AgentSharedState] = None, agent_configuration: Optional[AgentConfiguration] = None) -> IntentAgent
      • Creates and returns a configured MistralAgent.
      • Defaults:
        • AgentConfiguration(system_prompt=SYSTEM_PROMPT) if not provided.
        • AgentSharedState(thread_id="0") if not provided.
      • Registers intents that target call_model for:
        • generate code, review code, optimize code, document technical details, help with programming.

  • Classes

    • class MistralAgent(IntentAgent)
      • No additional methods/overrides; inherits behavior from IntentAgent.

Configuration/Dependencies​

  • Depends on naas_abi_core.services.agent.IntentAgent:
    • AgentConfiguration, AgentSharedState, Intent, IntentAgent, IntentType.
  • Model import
    • Imports model from naas_abi_marketplace.ai.mistral.models.mistral_large_2411 and passes model.model as chat_model.
  • Tools/Agents
    • tools and agents are empty lists in this implementation.
  • Memory
    • memory=None is passed to the agent constructor.

Usage​

from naas_abi_marketplace.ai.mistral.agents.MistralAgent import create_agent

agent = create_agent()
# Use `agent` via the IntentAgent interface provided by naas_abi_core.

Caveats​

  • MistralAgent adds no custom logic; all runtime behavior comes from IntentAgent and the imported chat model.
  • The registered intents all target "call_model"; this relies on the underlying IntentAgent implementation to route that target correctly.