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.claude/skills/perl-ai-langertha/SKILL.md  view on Meta::CPAN

<raider>
## Raider — Autonomous Agent

```perl
use Langertha::Raider;

my $raider = Langertha::Raider->new(
    engine         => $engine,        # With MCP servers
    mission        => 'You are a code reviewer.',
    max_iterations => 10,             # Max tool rounds per raid
    # Optional:
    max_context_tokens         => 4000,
    context_compress_threshold => 0.75,
    compression_engine         => $cheap_model,
    raider_mcp                 => 1,   # Enable self-tools (ask_user, pause, abort)
    plugins                    => ['Langfuse'],
);

# Raid (autonomous tool-calling loop)
my $result = await $raider->raid_f('Review lib/App.pm');

.claude/skills/perl-ai-langertha/SKILL.md  view on Meta::CPAN

if ($result->is_question) {
    my $next = await $raider->respond_f('Yes, go ahead.');
}

# History management
$raider->add_history('user', $content);  # Replay from DB
$raider->clear_history;                  # Reset

# Metrics
my $m = $raider->metrics;
say "Iterations: $m->{iterations}";
say "Tool calls: $m->{tool_calls}";
```

### Raid Loop (simplified)

1. Auto-compress history if context threshold exceeded
2. Gather tools from MCP servers + inline tools + self-tools
3. Build conversation: mission + history + new messages
4. Call LLM with tools
5. If tool calls: execute via MCP, add results to conversation, loop
6. If no tool calls: extract final text, persist to history, return result
7. Max iterations safety limit
</raider>

<plugins>
## Plugin System

```perl
package Langertha::Plugin::MyGuardrails;
use Langertha qw( Plugin );

async sub plugin_before_tool_call {