Refactoring the examples to use the new context summarization classes.

examples/foundational/54-context-summarization-openai.py

@@ -41,7 +41,10 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.utils.context.llm_context_summarization import LLMContextSummarizationConfig
+from pipecat.utils.context.llm_context_summarization import (
+    LLMAutoContextSummarizationConfig,
+    LLMContextSummaryConfig,
+)
 
 load_dotenv(override=True)
 
@@ -120,16 +123,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             vad_analyzer=SileroVADAnalyzer(),
         ),
         assistant_params=LLMAssistantAggregatorParams(
-            enable_context_summarization=True,
+            enable_auto_context_summarization=True,
             # Optional: customize context summarization behavior
             # Using low limits to demonstrate the feature quickly
-            context_summarization_config=LLMContextSummarizationConfig(
+            auto_context_summarization_config=LLMAutoContextSummarizationConfig(
                 max_context_tokens=1000,  # Trigger summarization at 1000 tokens
-                target_context_tokens=800,  # Target context size for the summarization
                 max_unsummarized_messages=10,  # Or when 10 new messages accumulate
+                summary_config=LLMContextSummaryConfig(
+                    target_context_tokens=800,  # Target context size for the summarization
                     min_messages_after_summary=2,  # Keep last 2 messages uncompressed
                 ),
             ),
+        ),
     )
 
     # Listen for summarization events

examples/foundational/54a-context-summarization-google.py

@@ -41,7 +41,10 @@ from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.utils.context.llm_context_summarization import LLMContextSummarizationConfig
+from pipecat.utils.context.llm_context_summarization import (
+    LLMAutoContextSummarizationConfig,
+    LLMContextSummaryConfig,
+)
 
 load_dotenv(override=True)
 
@@ -120,16 +123,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             vad_analyzer=SileroVADAnalyzer(),
         ),
         assistant_params=LLMAssistantAggregatorParams(
-            enable_context_summarization=True,
+            enable_auto_context_summarization=True,
             # Optional: customize context summarization behavior
             # Using low limits to demonstrate the feature quickly
-            context_summarization_config=LLMContextSummarizationConfig(
+            auto_context_summarization_config=LLMAutoContextSummarizationConfig(
                 max_context_tokens=1000,  # Trigger summarization at 1000 tokens
-                target_context_tokens=800,  # Target context size for the summarization
                 max_unsummarized_messages=10,  # Or when 10 new messages accumulate
+                summary_config=LLMContextSummaryConfig(
+                    target_context_tokens=800,  # Target context size for the summarization
                     min_messages_after_summary=2,  # Keep last 2 messages uncompressed
                 ),
             ),
+        ),
     )
 
     # Listen for summarization events

examples/foundational/54c-context-summarization-dedicated-llm.py

@@ -44,7 +44,10 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.utils.context.llm_context_summarization import LLMContextSummarizationConfig
+from pipecat.utils.context.llm_context_summarization import (
+    LLMAutoContextSummarizationConfig,
+    LLMContextSummaryConfig,
+)
 
 load_dotenv(override=True)
 
@@ -147,11 +150,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             vad_analyzer=SileroVADAnalyzer(),
         ),
         assistant_params=LLMAssistantAggregatorParams(
-            enable_context_summarization=True,
+            enable_auto_context_summarization=True,
-            context_summarization_config=LLMContextSummarizationConfig(
+            auto_context_summarization_config=LLMAutoContextSummarizationConfig(
                 # Trigger thresholds (low values to demonstrate quickly)
                 max_context_tokens=1000,
                 max_unsummarized_messages=10,
+                summary_config=LLMContextSummaryConfig(
                     # Summary generation
                     target_context_tokens=800,
                     min_messages_after_summary=2,
@@ -166,6 +170,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                     summarization_timeout=60.0,
                 ),
             ),
+        ),
     )
 
     # Listen for summarization events