Merge pull request #2531 from pipecat-ai/aleix/pipecat-0.0.82

update CHANGELOG for 0.0.82

CHANGELOG.md

@@ -5,7 +5,7 @@ All notable changes to **Pipecat** will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
+## [0.0.82] - 2025-08-28
 
 ### Added
 

examples/foundational/14f-function-calling-groq.py

@@ -61,16 +61,14 @@ transport_params = {
 async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
-    stt = GroqSTTService(api_key=os.getenv("GROQ_API_KEY"), model="distil-whisper-large-v3-en")
+    stt = GroqSTTService(api_key=os.getenv("GROQ_API_KEY"))
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
         voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
     )
 
-    llm = GroqLLMService(
+    llm = GroqLLMService(api_key=os.getenv("GROQ_API_KEY"))
-        api_key=os.getenv("GROQ_API_KEY"), model="meta-llama/llama-4-maverick-17b-128e-instruct"
-    )
     # You can also register a function_name of None to get all functions
     # sent to the same callback with an additional function_name parameter.
     llm.register_function("get_current_weather", fetch_weather_from_api)

scripts/evals/eval.py

@@ -247,7 +247,7 @@ async def run_eval_pipeline(
         properties={
             "result": {
                 "type": "boolean",
-                "description": "The result of the eval",
+                "description": "Whether the answer is correct or not",
             },
             "reasoning": {
                 "type": "string",

src/pipecat/services/mistral/llm.py

@@ -12,6 +12,7 @@ from loguru import logger
 from openai import AsyncStream
 from openai.types.chat import ChatCompletionChunk, ChatCompletionMessageParam
 
+from pipecat.adapters.services.open_ai_adapter import OpenAILLMInvocationParams
 from pipecat.frames.frames import FunctionCallFromLLM
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.services.openai.llm import OpenAILLMService
@@ -148,9 +149,7 @@ class MistralLLMService(OpenAILLMService):
         if calls_to_execute:
             await super().run_function_calls(calls_to_execute)
 
-    def build_chat_completion_params(
+    def build_chat_completion_params(self, params_from_context: OpenAILLMInvocationParams) -> dict:
-        self, context: OpenAILLMContext, messages: List[ChatCompletionMessageParam]
-    ) -> dict:
         """Build parameters for Mistral chat completion request.
 
         Handles Mistral-specific requirements including:
@@ -159,14 +158,14 @@ class MistralLLMService(OpenAILLMService):
         - Core completion settings
         """
         # Apply Mistral's assistant prefix requirement for API compatibility
-        fixed_messages = self._apply_mistral_assistant_prefix(messages)
+        fixed_messages = self._apply_mistral_assistant_prefix(params_from_context["messages"])
 
         params = {
             "model": self.model_name,
             "stream": True,
             "messages": fixed_messages,
-            "tools": context.tools,
+            "tools": params_from_context["tools"],
-            "tool_choice": context.tool_choice,
+            "tool_choice": params_from_context["tool_choice"],
             "frequency_penalty": self._settings["frequency_penalty"],
             "presence_penalty": self._settings["presence_penalty"],
             "temperature": self._settings["temperature"],