feat: add configurable context_window action input

agents/ollama.ts

@@ -119,6 +119,7 @@ async function runOllamaLoop(ctx: AgentRunContext): Promise<AgentResult> {
   }
 
   const model = ctx.model ?? process.env.OLLAMA_MODEL ?? DEFAULT_MODEL;
+  const numCtx = ctx.payload.contextWindow ?? 262144;
 
   log.info(`» connecting to Ollama at ${ollamaHost}, model ${model}`);
 
@@ -170,7 +171,7 @@ async function runOllamaLoop(ctx: AgentRunContext): Promise<AgentResult> {
           tools,
           keep_alive: -1,
           think: false,
-          options: { num_ctx: 262144, temperature: 0.1 },
+          options: { num_ctx: numCtx, temperature: 0.1 },
         }),
         {
           delaysMs: [3_000, 8_000],
@@ -196,11 +197,11 @@ async function runOllamaLoop(ctx: AgentRunContext): Promise<AgentResult> {
 
     if (promptTokens !== undefined) {
       const total = promptTokens + (evalTokens ?? 0);
-      const pct = Math.round((total / 262144) * 100);
+      const pct = Math.round((total / numCtx) * 100);
       log.info(
-        `  context: ${promptTokens} prompt + ${evalTokens ?? 0} eval = ${total} tokens (${pct}% of limit)`,
+        `  context: ${promptTokens} prompt + ${evalTokens ?? 0} eval = ${total} tokens (${pct}% of ${numCtx} limit)`,
       );
-      if (promptTokens > 200_000) {
+      if (promptTokens > numCtx * 0.77) {
         messages = pruneToolMessages(messages);
       }
     }