llm, add longer tineout for qwen, add a few more documentation links.

tasks/workstation/linux/software/llm.yml

@@ -23,6 +23,8 @@
 #   - https://docs.ollama.com
 #   - https://docs.ollama.com/faq#setting-environment-variables-on-linux
 #   - https://modelpiper.com/blog/ollama-environment-variables
+#   - https://qwenlm.github.io/qwen-code-docs/en/users/configuration/settings/#environment-variables--env-files
+#   - https://qwenlm.github.io/qwen-code-docs/en/users/qwen-serve/
 
 # Currently only testing this on Arch based distros (pacman).
 - name: Workstation | Linux | Software | LLMs
@@ -113,7 +115,7 @@
         llm_removals:
           ##### QWEN #####
           - { "purpose": ["chat"], "model": "qwen3:4b", "provider": "qwen_30_0040", "size_mb": 4000, "context": 123456 } # succeeded
-          - { "purpose": ["chat", "code"], "model": "qwen3.6:35b", "provider": "qwen_36_0350", "size_mb": "{{ llm_size_coef * 23000 }}", "context": 262144 } # succeeded, not dense so not recommended
+          - { "purpose": ["chat", "code"], "model": "qwen3.6:35b", "provider": "qwen_36_0350_moe", "size_mb": "{{ llm_size_coef * 23000 }}", "context": 262144 } # succeeded, not dense so not recommended
           ##### Mistral #####
           - { "purpose": ["code"], "model": "devstral:24b", "provider": "mistral_dev10_0240", "size_mb": "{{ llm_size_coef * 14000 }}", "context": 128000 } # succeeded
             # https://ollama.com/library/mistral-small : Last Updated 2025-01-30, succeeded
@@ -139,8 +141,8 @@
           - { "purpose": ["chat"], "model": "qwen3.5:4b",   "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef *  3300 }}", "context": 256000 }
           - { "purpose": ["chat"], "model": "qwen3.5:9b",   "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef *  6600 }}", "context": 256000 }
           - { "purpose": ["chat", "code"], "model": "qwen3.5:27b",  "provider": "qwen_35_0270", "size_mb": "{{ llm_size_coef * 17000 }}", "context": 256000 } # succeeded
-          - { "purpose": ["chat", "code"], "model": "qwen3.5:35b",  "provider": "qwen_35_0350", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 256000 }
-          - { "purpose": ["chat", "code"], "model": "qwen3.5:122b", "provider": "qwen_35_1220", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 256000 }
+          - { "purpose": ["chat", "code"], "model": "qwen3.5:35b",  "provider": "qwen_35_0350_moe", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 256000 }
+          - { "purpose": ["chat", "code"], "model": "qwen3.5:122b", "provider": "qwen_35_1220_moe", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 256000 }
             ### QWEN 3.0 Coder - Supposed to be better than 2.5 for machines that can handle it.
           - { "purpose": ["code", "chat"], "model": "qwen3-coder:30b",  "provider": "qwen_30_coder_0300", "size_mb": "{{ llm_size_coef *  19000 }}", "context": 123456 }
           - { "purpose": ["code", "chat"], "model": "qwen3-coder:420b", "provider": "qwen_30_coder_4200", "size_mb": "{{ llm_size_coef * 290000 }}", "context": 123456 }
@@ -590,6 +592,7 @@
             content: |
               #!/bin/sh -e
               exec 2>&1
+              export QWEN_STREAM_IDLE_TIMEOUT_MS=6000000
               exec chpst -u {{ user }} -C {{ user_user.home }}/Code qwen serve
             mode: "0755"
 
@@ -860,14 +863,14 @@
             {% if llm.model in llm_models.stdout %}
             {% if "code" in llm.purpose %}
 
-            - name: {{ llm.provider }}_chat-edit
+            - name: {{ llm.provider }}_CHAT
               provider: ollama
               model: {{ llm.model }}
               defaultCompletionOptions:
                 contextLength: {{ [llm_context, llm.context, 32000] | min | int }}
                 maxTokens: {{ [llm_tokens, (llm.context / 4), 8000] | min | int }}
 
-            - name: {{ llm.provider }}_autocomplete
+            - name: {{ llm.provider }}_AUTO
               provider: ollama
               model: {{ llm.model }}
               defaultCompletionOptions:
@@ -902,7 +905,7 @@
                 {
                   "name": "{{ llm.provider
                     }}_{{ 'CODE' if "code" in llm.purpose else 'CHAT'
-                    }}{{ '' if llm.model in llm_models.stdout else '_MISSING'
+                    }}{{ '' if llm.model in llm_models.stdout else '-MISSING'
                     }}"
                   ,"baseUrl": "http://127.0.0.1:11434/v1"
                   ,"envKey": "OLLAMA_API_KEY"