Improve LLM client immutability and CI model defaults. (#9)

Replace mutable Ollama model export with a const fallback and initializeModel return value, resolving the model from the environment after optional API discovery. Use a for-of loop over attempt indices instead of let in the retry path.

Continue PDF generation when map image generation or upscaling fails, and avoid mutating request headers in place.

Document Open WebUI-style URLs in the README, pin OLLAMA_MODEL in the Gitea release workflow, and adjust integration and unit tests for the new initialization behavior.

Reviewed-on: #9
Co-authored-by: keligrubb <keligrubb324@gmail.com>
Co-committed-by: keligrubb <keligrubb324@gmail.com>

src/ollamaClient.js

@@ -1,10 +1,16 @@
 import { cleanText } from "./textUtils.js";
 
 const OLLAMA_API_URL = process.env.OLLAMA_API_URL;
-export let OLLAMA_MODEL = process.env.OLLAMA_MODEL || "gemma3:latest";
+
+export const OLLAMA_MODEL = "qwen3.5-122b-a10b";
+
+function effectiveModel(explicit) {
+  if (explicit !== undefined && explicit !== null) return explicit;
+  return process.env.OLLAMA_MODEL || OLLAMA_MODEL;
+}
 
 export async function initializeModel() {
-  if (process.env.OLLAMA_MODEL) return;
+  if (process.env.OLLAMA_MODEL) return process.env.OLLAMA_MODEL;
   try {
     const apiUrl = process.env.OLLAMA_API_URL;
     const isOpenWebUI = apiUrl?.includes("/api/chat/completions");
@@ -16,17 +22,20 @@ export async function initializeModel() {
     const res = await fetch(url, { headers });
     if (res.ok) {
       const data = await res.json();
-      const model = isOpenWebUI 
+      const model = isOpenWebUI
         ? data.data?.[0]?.id || data.data?.[0]?.name
         : data.models?.[0]?.name;
       if (model) {
-        OLLAMA_MODEL = model;
+        process.env.OLLAMA_MODEL = model;
         console.log(`Using default model: ${model}`);
+        return model;
       }
     }
   } catch {
-    console.warn(`Could not fetch default model, using: ${OLLAMA_MODEL}`);
+    // fall through to warn below
   }
+  console.warn(`Could not fetch default model, using: ${OLLAMA_MODEL}`);
+  return OLLAMA_MODEL;
 }
 
 export { cleanText };
@@ -45,8 +54,10 @@ async function sleep(ms) {
 async function callOllamaBase(prompt, model, retries, stepName, apiType) {
   const isUsingOpenWebUI = apiType === "open-webui";
   const isUsingOllamaChat = apiType === "ollama-chat";
+  const resolvedModel = effectiveModel(model);
+  const attempts = Array.from({ length: retries }, (_, index) => index + 1);
 
-  for (let attempt = 1; attempt <= retries; attempt++) {
+  for (const attempt of attempts) {
     try {
       const promptCharCount = prompt.length;
       const promptWordCount = prompt.split(/\s+/).length;
@@ -58,14 +69,17 @@ async function callOllamaBase(prompt, model, retries, stepName, apiType) {
         `Prompt: ${promptCharCount} chars, ~${promptWordCount} words`,
       );
 
-      const headers = { "Content-Type": "application/json" };
-      if (isUsingOpenWebUI && process.env.OLLAMA_API_KEY) {
-        headers["Authorization"] = `Bearer ${process.env.OLLAMA_API_KEY}`;
-      }
+      const headers =
+        isUsingOpenWebUI && process.env.OLLAMA_API_KEY
+          ? {
+            "Content-Type": "application/json",
+            "Authorization": `Bearer ${process.env.OLLAMA_API_KEY}`,
+          }
+          : { "Content-Type": "application/json" };
 
       const body = isUsingOpenWebUI || isUsingOllamaChat
-        ? { model, messages: [{ role: "user", content: prompt }] }
-        : { model, prompt, stream: false };
+        ? { model: resolvedModel, messages: [{ role: "user", content: prompt }] }
+        : { model: resolvedModel, prompt, stream: false };
 
       const response = await fetch(OLLAMA_API_URL, {
         method: "POST",
@@ -108,7 +122,7 @@ async function callOllamaBase(prompt, model, retries, stepName, apiType) {
 
 export async function callOllama(
   prompt,
-  model = OLLAMA_MODEL,
+  model,
   retries = 5,
   stepName = "unknown",
 ) {
@@ -118,7 +132,7 @@ export async function callOllama(
 
 export async function callOllamaExplicit(
   prompt,
-  model = OLLAMA_MODEL,
+  model,
   retries = 5,
   stepName = "unknown",
   apiType = "ollama-generate",