feat(P03): core agent flesh — VerifierAgent, ResearcherAgent, TesterAgent intrinsic logic

src/backends/ollama-base.ts

@@ -15,16 +15,26 @@ import {
 import { AgentName, ModelProfile } from "../types/config.js";
 import { Decision } from "../types/decisions.js";
 import { Escalation } from "../types/escalation.js";
-import { ToolRegistry, ToolCall, ToolResult } from "./tool-registry.js";
+import { ToolRegistry, ToolCall, ToolResult, ToolDefinition } from "./tool-registry.js";
 
 const MAX_TOOL_ROUNDS = 50;
 
+const PERSONA_TOOL_MAP: Record<string, string> = {
+  read: "readFile",
+  write: "writeFile",
+  edit: "editFile",
+  bash: "runBash",
+  glob: "glob",
+  grep: "grep",
+};
+
 export abstract class OllamaBaseBackend implements IntelligenceBackend {
   abstract readonly name: string;
   readonly type: BackendType = "llm";
 
   protected config: LLMBackendConfig;
   protected projectPath: string;
+  protected filteredToolSchema: Array<Record<string, unknown>> | null = null;
 
   constructor(config: LLMBackendConfig | undefined) {
     this.config = config || { base_url: "http://localhost:11434", model_profile: "balanced" };
@@ -42,6 +52,9 @@ export abstract class OllamaBaseBackend implements IntelligenceBackend {
       const model = this.resolveModel();
 
       const toolRegistry = new ToolRegistry(request.context.project_path);
+      const allowedTools = this.parsePersonaTools(personaContent);
+      const filteredDefinitions = this.filterToolDefinitions(toolRegistry.getDefinitions(), allowedTools);
+      this.filteredToolSchema = this.definitionsToOpenAISchema(filteredDefinitions);
 
       const messages: OllamaMessage[] = [];
       messages.push({
@@ -62,7 +75,7 @@ export abstract class OllamaBaseBackend implements IntelligenceBackend {
 
       while (round < MAX_TOOL_ROUNDS) {
         round++;
-        const response = await this.callModel(messages, model, toolRegistry);
+        const response = await this.callModelWithTools(messages, model, filteredDefinitions);
 
         totalInputTokens += response.usage?.prompt_tokens || 0;
         totalOutputTokens += response.usage?.completion_tokens || 0;
@@ -124,6 +137,65 @@ export abstract class OllamaBaseBackend implements IntelligenceBackend {
     }
   }
 
+  protected parsePersonaTools(personaContent: string): string[] | null {
+    const frontmatterMatch = personaContent.match(/^---\n([\s\S]*?)\n---/);
+    if (!frontmatterMatch) return null;
+
+    const frontmatter = frontmatterMatch[1];
+    const toolsMatch = frontmatter.match(/tools:\s*\n((?:\s+\w+:.+\n?)+)/);
+    if (!toolsMatch) {
+      const inlineMatch = frontmatter.match(/tools:\s*\[([^\]]+)\]/);
+      if (inlineMatch) {
+        return inlineMatch[1]
+          .split(",")
+          .map((t) => t.trim())
+          .filter(Boolean)
+          .map((t) => PERSONA_TOOL_MAP[t] || t);
+      }
+      return null;
+    }
+
+    const toolsBlock = toolsMatch[1];
+    const toolNames: string[] = [];
+    const lineRegex = /^\s+(\w+):/gm;
+    let lineMatch;
+    while ((lineMatch = lineRegex.exec(toolsBlock)) !== null) {
+      const personaToolName = lineMatch[1];
+      toolNames.push(PERSONA_TOOL_MAP[personaToolName] || personaToolName);
+    }
+
+    return toolNames.length > 0 ? toolNames : null;
+  }
+
+  protected filterToolDefinitions(definitions: ToolDefinition[], allowedTools: string[] | null): ToolDefinition[] {
+    if (!allowedTools) return definitions;
+    const allowedSet = new Set(allowedTools);
+    return definitions.filter((def) => allowedSet.has(def.name));
+  }
+
+  protected async callModelWithTools(
+    messages: OllamaMessage[],
+    model: string,
+    toolDefinitions: ToolDefinition[]
+  ): Promise<OllamaChatResponse> {
+    return this.callModel(messages, model, new ToolRegistry(this.projectPath));
+  }
+
+  protected definitionsToOpenAISchema(definitions: ToolDefinition[]): Array<Record<string, unknown>> {
+    return definitions.map((def) => ({
+      type: "function",
+      function: {
+        name: def.name,
+        description: def.description,
+        parameters: def.parameters,
+      },
+    }));
+  }
+
+  protected getActiveToolSchema(toolRegistry: ToolRegistry): Array<Record<string, unknown>> {
+    return this.filteredToolSchema || toolRegistry.getOpenAIToolSchema();
+  }
+
   protected abstract callModel(
     messages: OllamaMessage[],
     model: string,

src/backends/ollama-cloud.ts

@@ -61,7 +61,7 @@ export class OllamaCloudBackend extends OllamaBaseBackend {
         if (m.tool_calls) msg.tool_calls = m.tool_calls;
         return msg;
       }),
-      tools: toolRegistry.getOpenAIToolSchema(),
+      tools: this.getActiveToolSchema(toolRegistry),
       stream: false,
     };
 

src/backends/ollama-local.ts

@@ -48,7 +48,7 @@ export class OllamaLocalBackend extends OllamaBaseBackend {
         if (m.tool_calls) msg.tool_calls = m.tool_calls;
         return msg;
       }),
-      tools: toolRegistry.getOpenAIToolSchema(),
+      tools: this.getActiveToolSchema(toolRegistry),
       stream: false,
     };