laravel-travel-agent

Coordinates multiple AI agents within a Laravel application using the Neuron PHP framework, enabling agents to be instantiated, configured, and executed in sequence or parallel patterns. The framework provides agent lifecycle management, state passing between agents, and integration with Laravel's service container for dependency injection and middleware support.

Registers PHP functions and Laravel service methods as tools available to agents, using a schema-based registry that maps function signatures to LLM-compatible tool definitions. Agents can invoke these tools during reasoning loops, with automatic parameter marshalling, type validation, and error handling integrated into the agent execution context.

Enables agents to be dispatched as Laravel queue jobs, allowing long-running agent workflows to execute asynchronously without blocking HTTP requests. Agents can be queued with priority, retry policies, and timeout configurations, with results stored in the database or cache for later retrieval.

Implements a standard agentic reasoning loop where agents receive a task, call tools, observe results, and iterate until reaching a terminal state. The framework abstracts LLM provider differences (OpenAI, Anthropic, etc.) through a unified interface, managing prompt formatting, token counting, and response parsing across multiple LLM backends.

Maintains agent execution state (current task, tool call history, observations, reasoning steps) across iterations and between agents in a workflow. State is stored in Laravel's cache/session layer with support for serialization, allowing agents to resume from checkpoints and share context through explicit state passing mechanisms.

Provides pre-built agent configurations and prompt templates optimized for travel planning tasks (flight search, hotel booking, itinerary generation). These templates include domain-specific tool bindings (flight APIs, hotel databases) and reasoning patterns tuned for travel workflows, reducing boilerplate for common travel agent use cases.

Integrates agents into Laravel's middleware pipeline, allowing agents to access request context (authenticated user, request parameters, session data) and to be invoked as part of request handling. Agents can be registered as middleware or route handlers, with automatic dependency injection of Laravel services and request objects.

Provides structured error handling for agent execution failures (LLM API errors, tool invocation failures, reasoning loop timeouts) with configurable fallback strategies. Agents can be configured to retry failed tool calls, fall back to alternative tools, or escalate to human review, with detailed error logging and recovery tracking.

Captures detailed execution traces of agent reasoning, including tool calls, observations, LLM prompts, and responses. Logs are structured and queryable through Laravel's logging system, with support for distributed tracing and integration with observability platforms (e.g., Datadog, New Relic) for monitoring agent performance and debugging.

Manages agent configurations (model selection, temperature, max tokens, tool availability) through Laravel's configuration system and environment variables. Agents can be deployed with different configurations across environments (dev, staging, production) without code changes, with support for dynamic configuration reloading.

Provides testing utilities for agents, including mock LLM responses, tool call recording and playback, and assertion helpers for verifying agent behavior. Tests can be written using Laravel's testing framework (PHPUnit) with agents mocked to return deterministic responses, enabling fast, repeatable agent testing without LLM API calls.