merge main

Author: declan-scale

.cursor/rules/40_temporal_and_agents.mdc

@@ -13,5 +13,5 @@ Temporal integration:
 Agent framework:
 
 - Agents are manifest-driven and support multiple agent types (sync and Temporal-based)
-- Use the examples under `examples/10_agentic/` and `examples/10_temporal/` for patterns
+- Use the examples under `examples/10_async/` and `examples/10_temporal/` for patterns
 - For debugging agents, use the CLI flags `--debug-worker` and `--debug-port`

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.6.0"
+  ".": "0.6.1"
 }

CHANGELOG.md

@@ -1,5 +1,14 @@
 # Changelog
 
+## 0.6.1 (2025-11-05)
+
+Full Changelog: [v0.6.0...v0.6.1](https://github.com/scaleapi/scale-agentex-python/compare/v0.6.0...v0.6.1)
+
+### Features
+
+* **api:** api update ([f6189a4](https://github.com/scaleapi/scale-agentex-python/commit/f6189a43e1430fdd16c8d10e6ad835d9dfa5871c))
+* **api:** api update ([714c719](https://github.com/scaleapi/scale-agentex-python/commit/714c7194e488e6070c99e200b91189f50dcdb831))
+
 ## 0.6.0 (2025-11-04)
 
 Full Changelog: [v0.5.3...v0.6.0](https://github.com/scaleapi/scale-agentex-python/compare/v0.5.3...v0.6.0)
@@ -192,7 +201,7 @@ Full Changelog: [v0.4.10...v0.4.11](https://github.com/scaleapi/agentex-python/c
 
 ### Bug Fixes
 
-* Adding new example for guardrails instead of using 10_agentic ([15dc44b](https://github.com/scaleapi/agentex-python/commit/15dc44b333a977564c9974cc089d5ef578840714))
+* Adding new example for guardrails instead of using 10_async ([15dc44b](https://github.com/scaleapi/agentex-python/commit/15dc44b333a977564c9974cc089d5ef578840714))
 * avoid newer type syntax ([6b5c82a](https://github.com/scaleapi/agentex-python/commit/6b5c82aab9ebcf755575b641aced2b77a13a71c3))
 
 

examples/launch-tutorials.sh

@@ -41,15 +41,15 @@ declare -a TUTORIALS=(
     "tutorials/00_sync/000_hello_acp|Basic Hello ACP (Sync)"
     "tutorials/00_sync/010_multiturn|Multi-turn Chat (Sync)"
     "tutorials/00_sync/020_streaming|Streaming Response (Sync)"
-    "tutorials/10_agentic/00_base/000_hello_acp|Basic Hello ACP (Agentic)"
-    "tutorials/10_agentic/00_base/010_multiturn|Multi-turn Chat (Agentic)"
-    "tutorials/10_agentic/00_base/020_streaming|Streaming Response (Agentic)"
-    "tutorials/10_agentic/00_base/030_tracing|Tracing Example (Agentic)"
-    "tutorials/10_agentic/00_base/040_other_sdks|Other SDKs Integration (Agentic)"
-    "tutorials/10_agentic/00_base/080_batch_events|Batch Events (Agentic)"
-    "tutorials/10_agentic/10_temporal/000_hello_acp|Basic Hello ACP (Temporal)"
-    "tutorials/10_agentic/10_temporal/010_agent_chat|Agent Chat (Temporal)"
-    "tutorials/10_agentic/10_temporal/020_state_machine|State Machine (Temporal)"
+    "tutorials/10_async/00_base/000_hello_acp|Basic Hello ACP (Async)"
+    "tutorials/10_async/00_base/010_multiturn|Multi-turn Chat (Async)"
+    "tutorials/10_async/00_base/020_streaming|Streaming Response (Async)"
+    "tutorials/10_async/00_base/030_tracing|Tracing Example (Async)"
+    "tutorials/10_async/00_base/040_other_sdks|Other SDKs Integration (Async)"
+    "tutorials/10_async/00_base/080_batch_events|Batch Events (Async)"
+    "tutorials/10_async/10_temporal/000_hello_acp|Basic Hello ACP (Temporal)"
+    "tutorials/10_async/10_temporal/010_agent_chat|Agent Chat (Temporal)"
+    "tutorials/10_async/10_temporal/020_state_machine|State Machine (Temporal)"
 )
 
 # Function to print colored output
@@ -90,7 +90,7 @@ show_menu() {
     print_colored $GREEN "  c. Clean up any orphaned tutorial processes"
     print_colored $GREEN "  q. Quit"
     echo ""
-    print_colored $YELLOW "📌 Note: The multi-agent system tutorial (tutorials/10_agentic/90_multi_agent_non_temporal) is excluded"
+    print_colored $YELLOW "📌 Note: The multi-agent system tutorial (tutorials/10_async/90_multi_agent_non_temporal) is excluded"
     print_colored $YELLOW "   as it has a special launch process. Use its own start-agents.sh script."
     echo ""
 }

examples/tutorials/00_sync/000_hello_acp/README.md

@@ -6,7 +6,7 @@ The simplest agent type: synchronous request/response pattern with a single `@ac
 ## What You'll Learn
 - Building a basic synchronous agent
 - The `@acp.on_message_send` handler pattern
-- When to use sync vs agentic agents
+- When to use sync vs async agents
 
 ## Prerequisites
 - Development environment set up (see [main repo README](https://github.com/scaleapi/scale-agentex))
@@ -39,6 +39,6 @@ That's it - one handler, immediate response. No task creation, no state manageme
 - Operations that complete in under a second
 
 ## Why This Matters
-Sync agents are the simplest way to get started with AgentEx. They're perfect for learning the basics and building stateless agents. Once you need conversation memory or task tracking, you'll graduate to agentic agents.
+Sync agents are the simplest way to get started with AgentEx. They're perfect for learning the basics and building stateless agents. Once you need conversation memory or task tracking, you'll graduate to async agents.
 
 **Next:** [010_multiturn](../010_multiturn/) - Add conversation memory to your agent

examples/tutorials/00_sync/010_multiturn/README.md

@@ -46,9 +46,9 @@ The handler accepts history, builds context, and returns responses that referenc
 ## When to Use
 - Simple chatbots that need conversation memory
 - When client can maintain and send conversation history
-- Quick prototypes before building full agentic agents
+- Quick prototypes before building full async agents
 
 ## Why This Matters
-While sync agents can handle conversations, you're responsible for managing state on the client side. This becomes complex quickly. For production conversational agents, consider agentic agents ([10_agentic/00_base/010_multiturn](../../10_agentic/00_base/010_multiturn/)) where the platform manages state automatically.
+While sync agents can handle conversations, you're responsible for managing state on the client side. This becomes complex quickly. For production conversational agents, consider async agents ([10_async/00_base/010_multiturn](../../10_async/00_base/010_multiturn/)) where the platform manages state automatically.
 
 **Next:** [020_streaming](../020_streaming/) - Stream responses in real-time

examples/tutorials/00_sync/020_streaming/README.md

@@ -42,4 +42,4 @@ Return an async generator instead of a single response - each `yield` sends an u
 ## Why This Matters
 Streaming dramatically improves user experience for longer operations. Instead of waiting 10 seconds for a complete response, users see results immediately as they're generated. This is essential for modern AI agents.
 
-**Next:** Ready for task management? → [10_agentic/00_base/000_hello_acp](../../10_agentic/00_base/000_hello_acp/)
+**Next:** Ready for task management? → [10_async/00_base/000_hello_acp](../../10_async/00_base/000_hello_acp/)