wip on dispatch fixes

toolchain/Cargo.toml

@@ -4,7 +4,7 @@ members = [
     "chidori-prompt-format",
     "chidori-im-rs",
     "chidori-static-analysis",
-    "chidori-debugger",
+    "chidori-debugger", "chidori-tsne", "chidori-optimizer-dsp",
 ]
 resolver = "2"
 

toolchain/chidori-core/examples/core10_concurrency/core.md

@@ -0,0 +1 @@
+# Explaining and demonstrating our concurrency support

toolchain/chidori-core/examples/core10_concurrency/main.rs

@@ -0,0 +1,12 @@
+use std::path::Path;
+use chidori_core::sdk::entry::{Chidori};
+fn main() {
+    let current_file = env!("CARGO_MANIFEST_DIR");
+    let current_file_path = Path::new(current_file);
+    let relative_path = current_file_path.join("./");
+
+    let mut env = Chidori::new();
+    env.load_md_directory(&relative_path);
+    let mut s = env.get_instance().unwrap();
+    s.run();
+}

toolchain/chidori-core/examples/core9_multi_agent_simulation/core.md

@@ -4,6 +4,7 @@ This example is based on [this crewAI example](https://github.com/joaomdmoura/cr
 
 ```prompt (researcher)
 ---
+model: gpt-3.5-turbo
 fn: scrape_and_summarize_website_researcher
 ---
 Role: Principal Researcher
@@ -87,6 +88,7 @@ def search_internet(query):
 
 ```prompt (researcher)
 ---
+model: gpt-3.5-turbo
 import:
     - search_internet
     - scrape_and_summarize_website
@@ -98,6 +100,7 @@ Backstory: An expert in analyzing travel data to pick ideal destinations
 
 ```prompt (local_expert)
 ---
+model: gpt-3.5-turbo
 import:
     - search_internet
     - scrape_and_summarize_website
@@ -110,6 +113,7 @@ Backstory: A knowledgable local guide with extensive information about the city,
 
 ```prompt (travel_concierge)
 ---
+model: gpt-3.5-turbo
 import:
     - search_internet
     - scrape_and_summarize_website