Refactor project structure to replace 'stream_agents' with 'vision_ag…

agents-core/vision_agents/core/cli.py

@@ -30,7 +30,7 @@ def setup_logging(log_level: str) -> None:
     )
 
     # Set specific logger levels
-    logging.getLogger("stream_agents").setLevel(numeric_level)
+    logging.getLogger("vision_agents").setLevel(numeric_level)
     logging.getLogger("test123").setLevel(numeric_level)
 
 

agents-core/vision_agents/core/utils/__init__.py

@@ -6,10 +6,10 @@
 
 import logging
 
-from .utils import get_stream_agents_version
+from .utils import get_vision_agents_version
 
 logger = logging.getLogger(__name__)
 
-__all__ = ["get_stream_agents_version"]
+__all__ = ["get_vision_agents_version"]
 
 

agents-core/vision_agents/core/utils/utils.py

@@ -116,15 +116,15 @@ def frame_to_png_bytes(frame) -> bytes:
         return b""
 
 
-def get_stream_agents_version() -> str:
+def get_vision_agents_version() -> str:
     """
-    Get the installed stream-agents package version.
+    Get the installed vision-agents package version.
 
     Returns:
         Version string, or "unknown" if not available.
     """
     try:
-        return importlib.metadata.version("stream-agents")
+        return importlib.metadata.version("vision-agents")
     except importlib.metadata.PackageNotFoundError:
         return "unknown"
 

docs/ai/instructions/ai-events-example.md

@@ -1,6 +1,6 @@
 # Event System Developer Guide
 
-This guide explains how to use the event system when building plugins for stream-agents. The event system provides a centralized way to handle asynchronous communication between components.
+This guide explains how to use the event system when building plugins for vision-agents. The event system provides a centralized way to handle asynchronous communication between components.
 
 ## Table of Contents
 
@@ -29,7 +29,7 @@ The `EventManager` is the core component that handles event registration, subscr
 ### Basic Event Manager
 
 ```python
-from stream_agents.core.events.manager import EventManager
+from vision_agents.core.events.manager import EventManager
 
 # Create a basic event manager
 manager = EventManager()
@@ -57,7 +57,7 @@ class MyPlugin:
 ### Register Individual Events
 
 ```python
-from stream_agents.core.events.manager import EventManager
+from vision_agents.core.events.manager import EventManager
 from my_plugin.events import MyCustomEvent
 
 manager = EventManager()
@@ -92,7 +92,7 @@ All events must inherit from `PluginBaseEvent` and follow this pattern:
 
 ```python
 from dataclasses import dataclass, field
-from stream_agents.core.events import PluginBaseEvent
+from vision_agents.core.events import PluginBaseEvent
 from typing import Optional, Any
 
 @dataclass
@@ -246,7 +246,7 @@ async def handle_gemini_events(event: GeminiConnectedEvent):
 ```python
 # my_plugin/events.py
 from dataclasses import dataclass, field
-from stream_agents.core.events import PluginBaseEvent
+from vision_agents.core.events import PluginBaseEvent
 
 @dataclass
 class MyPluginStartEvent(PluginBaseEvent):
@@ -260,7 +260,7 @@ class MyPluginDataEvent(PluginBaseEvent):
     metadata: Optional[dict] = None
 
 # my_plugin/plugin.py
-from stream_agents.core.plugin_base import PluginBase
+from vision_agents.core.plugin_base import PluginBase
 from . import events
 
 class MyPlugin(PluginBase):
@@ -289,8 +289,8 @@ class MyPlugin(PluginBase):
 
 ```python
 # Simple plugin using base class events
-from stream_agents.core.stt.stt import STT
-from stream_agents.core.stt.events import STTTranscriptEvent, STTErrorEvent
+from vision_agents.core.stt.stt import STT
+from vision_agents.core.stt.events import STTTranscriptEvent, STTErrorEvent
 
 class SimpleSTT(STT):
     def __init__(self):
@@ -325,8 +325,8 @@ class SimpleSTT(STT):
 
 ```python
 # Agent with event-driven architecture
-from stream_agents.core.agents import Agent
-from stream_agents.core.agents.events import AgentSayEvent
+from vision_agents.core.agents import Agent
+from vision_agents.core.agents.events import AgentSayEvent
 
 class MyAgent(Agent):
     def __init__(self, **kwargs):
@@ -464,7 +464,7 @@ async def test_plugin_events():
 ### OpenAI Plugin Events
 
 ```python
-# plugins/openai/stream_agents/plugins/openai/events.py
+# plugins/openai/vision_agents/plugins/openai/events.py
 @dataclass
 class OpenAIStreamEvent(PluginBaseEvent):
     type: str = field(default='plugin.openai.stream', init=False)
@@ -503,7 +503,7 @@ class OpenAILLM(LLM):
 ### Gemini Plugin Events
 
 ```python
-# plugins/gemini/stream_agents/plugins/gemini/events.py
+# plugins/gemini/vision_agents/plugins/gemini/events.py
 @dataclass
 class GeminiConnectedEvent(PluginBaseEvent):
     type: str = field(default='plugin.gemini.connected', init=False)
@@ -541,4 +541,4 @@ The event system provides a powerful, flexible way to build plugins with:
 - **Testing**: Simple to test by subscribing to events
 - **Monitoring**: Easy to add logging and analytics by subscribing to events
 
-Use this guide when building new plugins to ensure consistent, maintainable, and testable code with the event system.
+Use this guide when building new plugins to ensure consistent, maintainable, and testable code with the event system.

docs/ai/instructions/ai-llm.md

@@ -2,15 +2,15 @@
 
 ## Overview
 
-LLM plugins provide language model functionality for the stream-agents framework. They handle text generation, conversation management, and function calling capabilities.
+LLM plugins provide language model functionality for the vision-agents framework. They handle text generation, conversation management, and function calling capabilities.
 
 ## Base Class
 
-All LLM plugins should inherit from `stream_agents.core.llm.llm.LLM`:
+All LLM plugins should inherit from `vision_agents.core.llm.llm.LLM`:
 
 ```python
-from stream_agents.core.llm.llm import LLM, LLMResponseEvent
-from stream_agents.core.llm.types import LLMTextResponseDeltaEvent
+from vision_agents.core.llm.llm import LLM, LLMResponseEvent
+from vision_agents.core.llm.types import LLMTextResponseDeltaEvent
 from . import events
 
 class MyLLM(LLM):
@@ -162,7 +162,7 @@ Implement function calling methods if supported:
 ```python
 def _convert_tools_to_provider_format(self, tools: List[ToolSchema]) -> List[Dict[str, Any]]:
     """Convert tools to your provider's format."""
-    # Convert stream-agents ToolSchema to your provider's format
+    # Convert vision-agents ToolSchema to your provider's format
     return converted_tools
 
 def _extract_tool_calls_from_response(self, response: Any) -> List[NormalizedToolCallItem]:
@@ -173,10 +173,10 @@ def _extract_tool_calls_from_response(self, response: Any) -> List[NormalizedToo
 
 ## Realtime/STS Support
 
-For Speech-to-Speech (STS) functionality, inherit from `stream_agents.core.llm.realtime.Realtime`:
+For Speech-to-Speech (STS) functionality, inherit from `vision_agents.core.llm.realtime.Realtime`:
 
 ```python
-from stream_agents.core.llm.realtime import Realtime
+from vision_agents.core.llm.realtime import Realtime
 
 class MyRealtimeLLM(Realtime):
     def __init__(self, **kwargs):
@@ -200,11 +200,11 @@ class MyRealtimeLLM(Realtime):
 Here's a complete example of an LLM plugin:
 
 ```python
-# myllm/stream_agents/plugins/myllm/llm.py
+# myllm/vision_agents/plugins/myllm/llm.py
 from typing import Optional, List, Any
-from stream_agents.core.llm.llm import LLM, LLMResponseEvent
-from stream_agents.core.llm.types import LLMTextResponseDeltaEvent
-from stream_agents.core.processors import Processor
+from vision_agents.core.llm.llm import LLM, LLMResponseEvent
+from vision_agents.core.llm.types import LLMTextResponseDeltaEvent
+from vision_agents.core.processors import Processor
 from . import events
 
 

docs/ai/instructions/ai-stt.md

@@ -2,15 +2,15 @@
 
 ## Overview
 
-STT (Speech-to-Text) plugins provide audio transcription functionality for the stream-agents framework. They convert audio streams into text transcripts that can be processed by other components.
+STT (Speech-to-Text) plugins provide audio transcription functionality for the vision-agents framework. They convert audio streams into text transcripts that can be processed by other components.
 
 ## Base Class
 
-All STT plugins should inherit from `stream_agents.core.stt.stt.STT`:
+All STT plugins should inherit from `vision_agents.core.stt.stt.STT`:
 
 ```python
-from stream_agents.core.stt.stt import STT
-from stream_agents.core.stt.events import STTTranscriptEvent, STTStartedEvent, STTEndedEvent
+from vision_agents.core.stt.stt import STT
+from vision_agents.core.stt.events import STTTranscriptEvent, STTStartedEvent, STTEndedEvent
 from . import events
 
 class MySTT(STT):
@@ -327,11 +327,11 @@ class MyVADIntegratedSTT(STT):
 Here's a complete example of an STT plugin:
 
 ```python
-# mystt/stream_agents/plugins/mystt/stt.py
+# mystt/vision_agents/plugins/mystt/stt.py
 import asyncio
 from typing import Optional, List, AsyncIterator
-from stream_agents.core.stt.stt import STT
-from stream_agents.core.stt.events import STTTranscriptEvent
+from vision_agents.core.stt.stt import STT
+from vision_agents.core.stt.events import STTTranscriptEvent
 from . import events
 
 class MySTT(STT):

docs/ai/instructions/ai-tts.md

@@ -2,15 +2,15 @@
 
 ## Overview
 
-TTS (Text-to-Speech) plugins provide audio synthesis functionality for the stream-agents framework. They convert text into audio streams that can be played to users.
+TTS (Text-to-Speech) plugins provide audio synthesis functionality for the vision-agents framework. They convert text into audio streams that can be played to users.
 
 ## Base Class
 
-All TTS plugins should inherit from `stream_agents.core.tts.tts.TTS`:
+All TTS plugins should inherit from `vision_agents.core.tts.tts.TTS`:
 
 ```python
-from stream_agents.core.tts.tts import TTS
-from stream_agents.core.tts.events import TTSAudioEvent, TTSStartedEvent, TTSEndedEvent
+from vision_agents.core.tts.tts import TTS
+from vision_agents.core.tts.events import TTSAudioEvent, TTSStartedEvent, TTSEndedEvent
 from . import events
 
 class MyTTS(TTS):
@@ -235,11 +235,11 @@ class MyRealtimeTTS(TTS):
 Here's a complete example of a TTS plugin:
 
 ```python
-# mytts/stream_agents/plugins/mytts/tts.py
+# mytts/vision_agents/plugins/mytts/tts.py
 import asyncio
 from typing import Optional, List, AsyncIterator
-from stream_agents.core.tts.tts import TTS
-from stream_agents.core.tts.events import TTSAudioEvent
+from vision_agents.core.tts.tts import TTS
+from vision_agents.core.tts.events import TTSAudioEvent
 from . import events
 
 class MyTTS(TTS):

examples/02_golf_coach_example/pyproject.toml

@@ -1,22 +1,22 @@
 [project]
-name = "stream-agents-golf"
+name = "vision-agents-golf"
 version = "0.0.0"
 requires-python = ">=3.13"
 
 # put only what this example needs
 dependencies = [
   "python-dotenv>=1.0",
-  "stream-agents",
-  "stream-agents-plugins-openai",
-  "stream-agents-plugins-getstream",
-  "stream-agents-plugins-ultralytics",
+  "vision-agents",
+  "vision-agents-plugins-openai",
+  "vision-agents-plugins-getstream",
+  "vision-agents-plugins-ultralytics",
   "ultralytics>=8.3.184",
   "av>=14.4.0",
 ]
 
 [tool.uv.sources]
-"stream-agents" = {path = "../../agents-core", editable=true}
-"stream-agents-plugins-deepgram" = {path = "../../plugins/deepgram", editable=true}
-"stream-agents-plugins-ultralytics" = {path = "../../plugins/ultralytics", editable=true}
-"stream-agents-plugins-openai" = {path = "../../plugins/openai", editable=true}
-"stream-agents-plugins-getstream" = {path = "../../plugins/getstream", editable=true}
+"vision-agents" = {path = "../../agents-core", editable=true}
+"vision-agents-plugins-deepgram" = {path = "../../plugins/deepgram", editable=true}
+"vision-agents-plugins-ultralytics" = {path = "../../plugins/ultralytics", editable=true}
+"vision-agents-plugins-openai" = {path = "../../plugins/openai", editable=true}
+"vision-agents-plugins-getstream" = {path = "../../plugins/getstream", editable=true}