updated docs

Author: felixs8696

agentex/docs/docs/development_guides/tutorials.md

@@ -2,43 +2,43 @@
 
 All hands-on tutorials are maintained in the Agentex Python repository.
 
-[Browse Tutorials on GitHub](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials){target="_blank"}
+[Browse Tutorials on GitHub](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials){target="_blank"}
 
 ## Available Tutorials
 
 ### Sync ACP (Simple Agents)
 
 Basic agent patterns with simple request-response interactions.
 
-- **[Hello ACP](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/00_sync/000_hello_acp){target="_blank"}**: Your first agent
-- **[Multiturn](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/00_sync/010_multiturn){target="_blank"}**: Conversation history and memory
-- **[Streaming](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/00_sync/020_streaming){target="_blank"}**: Real-time response streaming
+- **[Hello ACP](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/00_sync/000_hello_acp){target="_blank"}**: Your first agent
+- **[Multiturn](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/00_sync/010_multiturn){target="_blank"}**: Conversation history and memory
+- **[Streaming](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/00_sync/020_streaming){target="_blank"}**: Real-time response streaming
 
 ### Async ACP - Base (Learning & Development)
 
 Stateful workflows with full lifecycle control for development and advanced patterns.
 
-- **[Hello Async ACP](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/000_hello_acp){target="_blank"}**: Three-handler pattern fundamentals
-- **[Multiturn](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/010_multiturn){target="_blank"}**: Stateful conversations
-- **[Streaming](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/020_streaming){target="_blank"}**: Response streaming in complex workflows
-- **[Tracing](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/030_tracing){target="_blank"}**: Observability and debugging
-- **[Other SDKs](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/040_other_sdks){target="_blank"}**: OpenAI Agents SDK and MCP integration
-- **[Batch Events](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/080_batch_events){target="_blank"}**: Efficient multi-event handling
-- **[Multi-Agent Assembly Line](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/00_base/090_multi_agent_non_temporal){target="_blank"}**: Multi-agent coordination without Temporal
+- **[Hello Async ACP](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/000_hello_acp){target="_blank"}**: Three-handler pattern fundamentals
+- **[Multiturn](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/010_multiturn){target="_blank"}**: Stateful conversations
+- **[Streaming](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/020_streaming){target="_blank"}**: Response streaming in complex workflows
+- **[Tracing](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/030_tracing){target="_blank"}**: Observability and debugging
+- **[Other SDKs](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/040_other_sdks){target="_blank"}**: OpenAI Agents SDK and MCP integration
+- **[Batch Events](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/080_batch_events){target="_blank"}**: Efficient multi-event handling
+- **[Multi-Agent Assembly Line](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/00_base/090_multi_agent_non_temporal){target="_blank"}**: Multi-agent coordination without Temporal
 
 ### Async ACP - Temporal (Production)
 
 Enterprise-ready patterns with durable execution for production deployments requiring reliability and fault tolerance.
 
-- **[Hello Temporal](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/000_hello_acp){target="_blank"}**: First Temporal workflow
-- **[Agent Chat](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/010_agent_chat){target="_blank"}**: LLM chat with tools integration
-- **[State Machine](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/020_state_machine){target="_blank"}**: Complex workflow orchestration
-- **[Custom Activities](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/030_custom_activities){target="_blank"}**: Custom activities for external operations
-- **[Agent Chat with Guardrails](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/050_agent_chat_guardrails){target="_blank"}**: Safety and validation for agent conversations
-- **[OpenAI Agents SDK Integration](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/){target="_blank"}**: Production-ready agents with OpenAI SDK + Temporal
-    - [OpenAI Agents SDK: Hello World](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/060_open_ai_agents_sdk_hello_world){target="_blank"}: Automatic durability for LLM calls
-    - [OpenAI Agents SDK: Tools](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/070_open_ai_agents_sdk_tools){target="_blank"}: Single and multi-activity tool patterns
-    - [OpenAI Agents SDK: Human-in-the-Loop](https://github.com/scaleapi/agentex-python/tree/main/examples/tutorials/10_async/10_temporal/080_open_ai_agents_sdk_human_in_the_loop){target="_blank"}: Human approval workflows
+- **[Hello Temporal](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/000_hello_acp){target="_blank"}**: First Temporal workflow
+- **[Agent Chat](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/010_agent_chat){target="_blank"}**: LLM chat with tools integration
+- **[State Machine](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/020_state_machine){target="_blank"}**: Complex workflow orchestration
+- **[Custom Activities](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/030_custom_activities){target="_blank"}**: Custom activities for external operations
+- **[Agent Chat with Guardrails](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/050_agent_chat_guardrails){target="_blank"}**: Safety and validation for agent conversations
+- **[OpenAI Agents SDK Integration](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/){target="_blank"}**: Production-ready agents with OpenAI SDK + Temporal
+    - [OpenAI Agents SDK: Hello World](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/060_open_ai_agents_sdk_hello_world){target="_blank"}: Automatic durability for LLM calls
+    - [OpenAI Agents SDK: Tools](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/070_open_ai_agents_sdk_tools){target="_blank"}: Single and multi-activity tool patterns
+    - [OpenAI Agents SDK: Human-in-the-Loop](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_async/10_temporal/080_open_ai_agents_sdk_human_in_the_loop){target="_blank"}: Human approval workflows
 
 ## Why Tutorials are on GitHub
 

agentex/docs/docs/development_guides/webhooks.md

@@ -108,24 +108,24 @@ You will not be able to retrieve the API key value after you've created the API
 
 To store a GitHub secret that will be used to verify incoming webhook requests, grab the full name of the repository you will be configuring the webhook for and run the following command:
 ```bash
-# Replace with your repository name instead of scaleapi/agentex!
+# Replace with your repository name instead of scaleapi/scale-agentex!
 curl -X POST $HOST/agent_api_keys \
   -H "Content-Type: application/json" \
   -d '{
     "agent_name": "<AGENT_NAME>",
-    "name": "scaleapi/agentex",
+    "name": "scaleapi/scale-agentex",
     "api_key_type": "github"
   }'
 ```
 The backend will generate an API key value for you, store this in the database, and return the value for you in the response so that you can set it in GitHub as the webhook secret.
 If you already have a webhook configured with a secret and you don't want to rotate it, you can also pass it as follows:
 ```bash
-# Replace with your repository name instead of scaleapi/agentex
+# Replace with your repository name instead of scaleapi/scale-agentex
 curl -X POST $HOST/agent_api_keys \
   -H "Content-Type: application/json" \
   -d '{
     "agent_name": "<AGENT_NAME>",
-    "name": "scaleapi/agentex",
+    "name": "scaleapi/scale-agentex",
     "api_key_type": "github",
     "api_key": "existingsecret"
   }'