refactor: simplify config resolution and consolidate main.rs init (#287)

* refactor: simplify config resolution and consolidate main.rs init into AppBuilder

- Add parse_bool_env() and parse_string_env() helpers to eliminate repetitive
  5-line optional_env/parse/map_err/unwrap_or boilerplate across 12 config files
- Add EmbeddingsConfig::create_provider() to centralize embeddings construction
  (fixes hardcoded 1536 dimensions and missing Ollama provider in app.rs)
- Extract init_cli_tracing(), setup_wasm_channels(), start_tunnel(),
  run_memory_command(), run_worker(), run_claude_bridge() from main.rs
- Replace ~600 lines of inline init in main.rs with AppBuilder::build_all()
- Expose catalog_entries from AppComponents for gateway registry entries
- Net reduction: ~738 lines across 15 files

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: propagate dev_loaded_tool_names from AppBuilder and add parse_option_env helper

Address PR review feedback:

- Capture dev_loaded_tool_names from WASM loading in init_extensions()
  and expose via AppComponents so bootstrap_hooks receives the actual
  dev tool names instead of an empty slice (fixes silent hook skip)
- Add parse_option_env<T>() helper for Option<T> config fields,
  simplifying max_cost_per_day_cents and max_actions_per_hour in agent.rs

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: fetch real NEAR AI pricing and unify cost calculation path

CostGuard was independently looking up pricing via costs::model_cost(),
falling back to GPT-4o default rates when NEAR AI model names didn't
match the static table — causing ~3x cost overestimates in logs.

- Add pricing map to NearAiChatProvider that fetches real rates from
  /v1/model/list at startup (background, non-blocking)
- Update cost_per_token() to check fetched pricing first, then static
  table, then default
- Add cost_per_token parameter to CostGuard::record_llm_call() so the
  dispatcher passes provider-sourced rates directly

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* chore: update default NEAR AI model to GLM-latest

Replace fireworks llama4-maverick-instruct-basic with zai-org/GLM-latest
as the default model in config and setup wizard.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: align wizard default model name with config

Change "zai/GLM-latest" to "zai-org/GLM-latest" in wizard.rs to match
the default in config/llm.rs.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 <[email protected]>

src/setup/wizard.rs

@@ -1084,9 +1084,8 @@ impl SetupWizard {
                 let fetched = self.fetch_nearai_models().await;
                 let default_models: Vec<(String, String)> = vec![
                     (
-                        "fireworks::accounts/fireworks/models/llama4-maverick-instruct-basic"
-                            .into(),
-                        "Llama 4 Maverick (default, fast)".into(),
+                        "zai-org/GLM-latest".into(),
+                        "GLM Latest (default, fast)".into(),
                     ),
                     (
                         "anthropic::claude-sonnet-4-20250514".into(),