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Include examples in type checking

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Remove `examples/` from the `pyrightconfig.json` ignore list and fix
the resulting type errors across all example files. Common fixes:

- Required API keys: `os.getenv("X")` -> `os.environ["X"]` so the
  return type is `str` rather than `str | None`, and misconfiguration
  fails fast.
- Narrow `LLMContextMessage` union members with `isinstance(..., dict)`
  before dict-style access.
- `assert isinstance(params.llm, ...)` before calling service-specific
  methods that aren't on the base `LLMService`.
- Guard optional frame fields (e.g. `LLMSearchResponseFrame.search_result`)
  before use.
This commit is contained in:
Mark Backman
2026-04-20 15:50:49 -04:00
parent 103ced1eaa
commit 58a17c7b1b
293 changed files with 884 additions and 1006 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
examples/context-summarization/context-summarization-dedicated-llm.py
View File

@@ -89,10 +89,10 @@ async def get_current_weather(params: FunctionCallParams):
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info("Starting bot")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
api_key=os.environ["CARTESIA_API_KEY"],
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
@@ -109,7 +109,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Primary LLM for conversation (could be any provider)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
api_key=os.environ["OPENAI_API_KEY"],
settings=OpenAILLMService.Settings(
system_instruction=system_prompt,
),
@@ -117,7 +117,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Dedicated cheap/fast LLM for summarization only
summarization_llm = GoogleLLMService(
api_key=os.getenv("GOOGLE_API_KEY"),
api_key=os.environ["GOOGLE_API_KEY"],
settings=GoogleLLMService.Settings(
model="gemini-2.5-flash",
),

6
examples/context-summarization/context-summarization-google.py
View File

@@ -77,17 +77,17 @@ async def get_current_weather(params: FunctionCallParams):
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info("Starting bot")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
api_key=os.environ["CARTESIA_API_KEY"],
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
)
llm = GoogleLLMService(
api_key=os.getenv("GOOGLE_API_KEY"),
api_key=os.environ["GOOGLE_API_KEY"],
settings=GoogleLLMService.Settings(
system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way. You have access to tools to get the current weather - use them when relevant.",
),

6
examples/context-summarization/context-summarization-manual-openai.py
View File

@@ -72,10 +72,10 @@ async def summarize_conversation(params: FunctionCallParams):
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info("Starting bot")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
api_key=os.environ["CARTESIA_API_KEY"],
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
@@ -91,7 +91,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
"""
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
api_key=os.environ["OPENAI_API_KEY"],
settings=OpenAILLMService.Settings(
system_instruction=system_prompt,
),

6
examples/context-summarization/context-summarization-openai.py
View File

@@ -77,17 +77,17 @@ async def get_current_weather(params: FunctionCallParams):
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info("Starting bot")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
api_key=os.environ["CARTESIA_API_KEY"],
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
api_key=os.environ["OPENAI_API_KEY"],
settings=OpenAILLMService.Settings(
system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way. You have access to tools to get the current weather - use them when relevant.",
),