updated to run on Windows and add est capabilities

src/providers/chatgpt.py

@@ -77,7 +77,7 @@ class ChatGPTProvider(BaseProvider):
                 "init",
                 RuntimeError(
                     "CHATGPT_SESSION_TOKEN is not set. "
-                    "Run 'python -m src.main auth' to configure it."
+                    "Run 'ai-chat-exporter auth' to configure it."
                 ),
             )
         self._session_token = token
@@ -157,7 +157,7 @@ class ChatGPTProvider(BaseProvider):
                 "fetch_access_token",
                 RuntimeError(
                     "No accessToken in /api/auth/session response. "
-                    "Your session token may be expired — run 'python -m src.main auth' to refresh."
+                    "Your session token may be expired — run 'ai-chat-exporter auth' to refresh."
                 ),
             )
         return access_token
@@ -169,7 +169,7 @@ class ChatGPTProvider(BaseProvider):
             "The session token is used to obtain a short-lived access token via /api/auth/session. "
             "To refresh: open chatgpt.com in Chrome → F12 → Application → Cookies "
             "→ find '__Secure-next-auth.session-token' → copy the value. "
-            "Then run 'python -m src.main auth' or update CHATGPT_SESSION_TOKEN in .env."
+            "Then run 'ai-chat-exporter auth' or update CHATGPT_SESSION_TOKEN in .env."
         )
         logger.error(msg)
         raise ProviderError(
@@ -369,7 +369,7 @@ class ChatGPTProvider(BaseProvider):
             logger.info(
                 "[chatgpt] No project IDs configured — skipping project conversations. "
                 "To include projects, set CHATGPT_PROJECT_IDS in .env "
-                "(see 'python -m src.main auth' for instructions)."
+                "(see 'ai-chat-exporter auth' for instructions)."
             )
             return self._apply_since_filter(default_convs, since)
 
@@ -624,7 +624,10 @@ def _extract_messages(
                 content_type = content_obj.get("content_type", "text")
                 text = _extract_text(content_obj, conv_id, node_id)
 
-                if content_type != "text":
+                # model_editable_context carries project instructions as plain text parts
+                _TEXT_EXTRACTABLE = {"text", "model_editable_context"}
+
+                if content_type not in _TEXT_EXTRACTABLE:
                     logger.warning(
                         "[chatgpt] Skipping %s content in conversation %s message %s "
                         "— rich content not yet supported (see FUTURE.md)",