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aleix/audi
...
mb/fix-ote
| Author | SHA1 | Date | |
|---|---|---|---|
|
c522a1ad1a |
18
.github/workflows/android.yaml
vendored
18
.github/workflows/android.yaml
vendored
@@ -6,13 +6,11 @@ on:
|
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- main
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paths:
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- "examples/simple-chatbot/client/android/**"
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- "examples/p2p-webrtc/video-transform/client/android/**"
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pull_request:
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branches:
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- "**"
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paths:
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- "examples/simple-chatbot/client/android/**"
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- "examples/p2p-webrtc/video-transform/client/android/**"
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workflow_dispatch:
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inputs:
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sdk_git_ref:
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@@ -25,7 +23,7 @@ concurrency:
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jobs:
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sdk:
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name: "Demo apps"
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name: "Simple chatbot demo"
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repo
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@@ -39,22 +37,12 @@ jobs:
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distribution: 'temurin'
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java-version: '17'
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- name: "Example app: Simple Chatbot"
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- name: Build demo app
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working-directory: examples/simple-chatbot/client/android
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run: ./gradlew :simple-chatbot-client:assembleDebug
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- name: Upload Simple Chatbot APK
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- name: Upload demo APK
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uses: actions/upload-artifact@v4
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with:
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name: Simple Chatbot Android Client
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path: examples/simple-chatbot/client/android/simple-chatbot-client/build/outputs/apk/debug/simple-chatbot-client-debug.apk
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- name: "Example app: Small WebRTC Client"
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working-directory: examples/p2p-webrtc/video-transform/client/android
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run: ./gradlew :small-webrtc-client:assembleDebug
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- name: Upload Small WebRTC APK
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uses: actions/upload-artifact@v4
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with:
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name: Small WebRTC Android Client
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path: examples/p2p-webrtc/video-transform/client/android/small-webrtc-client/build/outputs/apk/debug/small-webrtc-client-debug.apk
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224
CHANGELOG.md
224
CHANGELOG.md
@@ -9,234 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Added
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- Added reconnection logic and audio buffer management to `GladiaSTTService`.
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- Added Polish support to `AWSTranscribeSTTService`.
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- Added new frames `FrameProcessorPauseFrame` and `FrameProcessorResumeFrame`
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which allow pausing and resuming frame processing for a given frame
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processor. These are control frames, so they are ordered. Pausing frame
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processor will keep old frames in the internal queues until resume takes
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place. Frames being pushed while a frame processor is paused will be pushed to
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the queues. When frame processing is resumed all queued frames will be
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processed in order. Also added `FrameProcessorPauseUrgentFrame` and
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`FrameProcessorResumeUrgentFrame` which are system frames and therefore they
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have high priority.
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- Added a property called `has_function_calls_in_progress` in
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`LLMAssistantContextAggregator` that exposes whether a function call is in
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progress.
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### Changed
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- The `PipelineParams` arg `allow_interruptions` now defaults to `True`.
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- `TavusTransport` and `TavusVideoService` now send audio to Tavus using WebRTC
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audio tracks instead of `app-messages` over WebSocket. This should improve the
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overall audio quality.
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- Upgraded `daily-python` to 0.19.3.
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### Deprecated
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- `AudioBufferProcessor` parameter `user_continuos_stream` is deprecated.
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### Fixed
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- Fixed an `AudioBufferProcessor` issue that was causing crackling on the audio
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stream with lower sample rate (due to upsampling the other stream). We now
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record with the lowest sample rate to avoid upsampling.
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- Fixed an issue that would cause multiple `PipelineTask.on_idle_timeout`
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events to be triggered repeatedly.
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- Fixed an `AudioBufferProcessor` issue that was causing user and bot speech to
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not be synchronized during recordings.
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- Fixed an issue where voice settings weren't applied to ElevenLabsTTSService.
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- Fixed an issue with `GroqTTSService` where it was not properly parsing the
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WAV file header.
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- Fixed an issue with `GoogleSTTService` where it was constantly reconnecting
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before starting to receive audio from the user.
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- Fixed an issue where `GoogleLLMService`'s TTFB value was incorrect.
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### Other
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- Rename `14e-function-calling-gemini.py` to `14e-function-calling-google.py`.
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## [0.0.71] - 2025-06-10
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### Added
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- Adds a parameter called `additional_span_attributes` to PipelineTask that
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lets you add any additional attributes you'd like to the conversation span.
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### Fixed
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- Fixed an issue with `CartesiaSTTService` initialization.
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## [0.0.70] - 2025-06-10
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### Added
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- Added `ExotelFrameSerializer` to handle telephony calls via Exotel.
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- Added the option `informal` to `TranslationConfig` on Gladia config.
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Allowing to force informal language forms when available.
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- Added `CartesiaSTTService` which is a websocket based implementation to
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transcribe audio. Added a foundational example in
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`13f-cartesia-transcription.py`
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- Added an `websocket` example, showing how to use the new Pipecat client
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`WebsocketTransport` to connect with Pipecat `FastAPIWebsocketTransport` or
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`WebsocketServerTransport`.
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- Added language support to `RimeHttpTTSService`. Extended languages to include
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German and French for both `RimeTTSService` and `RimeHttpTTSService`.
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### Changed
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- Upgraded `daily-python` to 0.19.2.
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- Make `PipelineTask.add_observer()` synchronous. This allows callers to call it
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before doing the work of running the `PipelineTask` (i.e. without invoking
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`PipelineTask.set_event_loop()` first).
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- Pipecat 0.0.69 forced `uvloop` event loop on Linux on macOS. Unfortunately,
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this is causing issue in some systems. So, `uvloop` is not enabled by default
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anymore. If you want to use `uvloop` you can just set the `asyncio` event
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policy before starting your agent with:
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```python
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asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
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```
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### Fixed
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- Fixed an issue with various TTS services that would cause audio glitches at
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the start of every bot turn.
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- Fixed an `ElevenLabsTTSService` issue where a context warning was printed
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when pushing a `TTSSpeakFrame`.
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- Fixed an `AssemblyAISTTService` issue that could cause unexpected behavior
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when yielding empty `Frame()`s.
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- Fixed an issue where `OutputAudioRawFrame.transport_destination` was being
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reset to `None` instead of retaining its intended value before sending the
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audio frame to `write_audio_frame`.
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- Fixed a typo in Livekit transport that prevented initialization.
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## [0.0.69] - 2025-06-02 "AI Engineer World's Fair release" ✨
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### Added
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- Added a new frame `FunctionCallsStartedFrame`. This frame is pushed both
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upstream and downstream from the LLM service to indicate that one or more
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function calls are going to be executed.
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- Added LLM services `on_function_calls_started` event. This event will be
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triggered when the LLM service receives function calls from the model and is
|
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going to start executing them.
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- Function calls can now be executed sequentially (in the order received in the
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completion) by passing `run_in_parallel=False` when creating your LLM
|
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service. By default, if the LLM completion returns 2 or more function calls
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they run concurrently. In both cases, concurrently and sequentially, a new LLM
|
||||
completion will run when the last function call finishes.
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- Added OpenTelemetry tracing for `GeminiMultimodalLiveLLMService` and
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`OpenAIRealtimeBetaLLMService`.
|
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- Added initial support for interruption strategies, which determine if the user
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should interrupt the bot while the bot is speaking. Interruption strategies
|
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can be based on factors such as audio volume or the number of words spoken by
|
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the user. These can be specified via the new `interruption_strategies` field
|
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in `PipelineParams`. A new `MinWordsInterruptionStrategy` strategy has been
|
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introduced which triggers an interruption if the user has spoken a minimum
|
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number of words. If no interruption strategies are specified, the normal
|
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interruption behavior applies. If multiple strategies are provided, the first
|
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one that evaluates to true will trigger the interruption.
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- `BaseInputTransport` now handles `StopFrame`. When a `StopFrame` is received
|
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the transport will pause sending frames downstream until a new `StartFrame` is
|
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received. This allows the transport to be reused (keeping the same connection)
|
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in a different pipeline.
|
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|
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- Updated AssemblyAI STT service to support their latest streaming
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speech-to-text model with improved transcription latency and endpointing.
|
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|
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- You can now access STT service results through the new
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`TranscriptionFrame.result` and `InterimTranscriptionFrame.result` field. This
|
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is useful in case you use some specific settings for the STT and you want to
|
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access the STT results.
|
||||
|
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- The examples runner is now public from the `pipecat.examples` package. This
|
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allows everyone to build their own examples and run them easily.
|
||||
|
||||
- It is now possible to push `OutputDTMFFrame` or `OutputDTMFUrgentFrame` with
|
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`DailyTransport`. This will be sent properly if a Daily dial-out connection
|
||||
has been established.
|
||||
|
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- Added `OutputDTMFUrgentFrame` to send a DTMF keypress quickly. The previous
|
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`OutputDTMFFrame` queues the keypress with the rest of data frames.
|
||||
|
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- Added `DTMFAggregator`, which aggregates keypad presses into
|
||||
`TranscriptionFrame`s. Aggregation occurs after a timeout, termination key
|
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press, or user interruption. You can specify the prefix of the
|
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`TranscriptionFrame`.
|
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|
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- Added new functions `DailyTransport.start_transcription()` and
|
||||
`DailyTransport.stop_transcription()` to be able to start and stop Daily
|
||||
transcription dynamically (maybe with different settings).
|
||||
|
||||
### Changed
|
||||
|
||||
- Reverted the default model for `GeminiMultimodalLiveLLMService` back to
|
||||
`models/gemini-2.0-flash-live-001`.
|
||||
`gemini-2.5-flash-preview-native-audio-dialog` has inconsistent performance.
|
||||
You can opt in to using this model by setting the `model` arg.
|
||||
|
||||
- Function calls are now cancelled by default if there's an interruption. To
|
||||
disable this behavior you can set `cancel_on_interruption=False` when
|
||||
registering the function call. Since function calls are executed as tasks you
|
||||
can tell if a function call has been cancelled by catching the
|
||||
`asyncio.CancelledError` exception (and don't forget to raise it again!).
|
||||
|
||||
- Updated OpenTelemetry tracing attribute `metrics.ttfb_ms` to `metrics.ttfb`.
|
||||
The attribute reports TTFB in seconds.
|
||||
|
||||
### Deprecated
|
||||
|
||||
- `DailyTransport.send_dtmf()` is deprecated, push an `OutputDTMFFrame` or an
|
||||
`OutputDTMFUrgentFrame` instead.
|
||||
|
||||
### Fixed
|
||||
|
||||
- Fixed an issue with `ElevenLabsTTSService` where long responses would
|
||||
continue generating output even after an interruption.
|
||||
|
||||
- Fixed an issue with the `OpenAILLMContext` where non-Roman characters were
|
||||
being incorrectly encoded as Unicode escape sequences. This was a logging
|
||||
issue and did not impact the actual conversation.
|
||||
|
||||
- In `AWSBedrockLLMService`, worked around a possible bug in AWS Bedrock where
|
||||
a `toolConfig` is required if there has been previous tool use in the
|
||||
messages array. This workaround includes a no_op factory function call is
|
||||
used to satisfy the requirement.
|
||||
|
||||
- Fixed `WebsocketClientTransport` to use `FrameProcessorSetup.task_manager`
|
||||
instead of `StartFrame.task_manager`.
|
||||
|
||||
### Performance
|
||||
|
||||
- Use `uvloop` as the new event loop on Linux and macOS systems.
|
||||
|
||||
## [0.0.68] - 2025-05-28
|
||||
|
||||
### Added
|
||||
|
||||
@@ -53,7 +53,7 @@ You can connect to Pipecat from any platform using our official SDKs:
|
||||
|
||||
| Category | Services |
|
||||
| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [Parakeet (NVIDIA)](https://docs.pipecat.ai/server/services/stt/parakeet), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper) |
|
||||
| Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [Parakeet (NVIDIA)](https://docs.pipecat.ai/server/services/stt/parakeet), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper) |
|
||||
| LLMs | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [Together AI](https://docs.pipecat.ai/server/services/llm/together) |
|
||||
| Text-to-Speech | [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [FastPitch (NVIDIA)](https://docs.pipecat.ai/server/services/tts/fastpitch), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
|
||||
| Speech-to-Speech | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai) |
|
||||
|
||||
@@ -3,11 +3,11 @@ coverage~=7.6.12
|
||||
grpcio-tools~=1.67.1
|
||||
pip-tools~=7.4.1
|
||||
pre-commit~=4.0.1
|
||||
pyright~=1.1.400
|
||||
pyright~=1.1.397
|
||||
pytest~=8.3.4
|
||||
pytest-asyncio~=0.25.3
|
||||
pytest-aiohttp==1.1.0
|
||||
ruff~=0.11.13
|
||||
ruff~=0.11.1
|
||||
setuptools~=70.0.0
|
||||
setuptools_scm~=8.1.0
|
||||
python-dotenv~=1.0.1
|
||||
|
||||
@@ -133,8 +133,7 @@ async def main():
|
||||
params=PipelineParams(
|
||||
audio_in_sample_rate=16000,
|
||||
audio_out_sample_rate=16000,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
allow_interruptions=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -71,8 +71,6 @@ async def main():
|
||||
params=PipelineParams(
|
||||
audio_in_sample_rate=16000,
|
||||
audio_out_sample_rate=16000,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -148,8 +148,10 @@ async def main():
|
||||
params=PipelineParams(
|
||||
audio_in_sample_rate=16000,
|
||||
audio_out_sample_rate=16000,
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
observers=[TranscriptionLogObserver()],
|
||||
)
|
||||
|
||||
@@ -75,13 +75,7 @@ async def main(room_url: str, token: str):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
|
||||
@@ -170,6 +170,7 @@ async def run_bot(room_url: str, token: str):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
|
||||
@@ -198,6 +198,7 @@ async def run_bot(room_url: str, token: str):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
|
||||
@@ -211,6 +211,7 @@ async def run_bot(room_url: str, token: str):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
|
||||
@@ -67,8 +67,10 @@ async def main(transport: DailyTransport):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -192,6 +192,7 @@ async def main(transport: DailyTransport):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
|
||||
@@ -55,6 +55,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -56,6 +56,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -53,6 +53,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -77,36 +77,37 @@ async def configure_livekit():
|
||||
|
||||
|
||||
async def main():
|
||||
(url, token, room_name) = await configure_livekit()
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(url, token, room_name) = await configure_livekit()
|
||||
|
||||
transport = LiveKitTransport(
|
||||
url=url,
|
||||
token=token,
|
||||
room_name=room_name,
|
||||
params=LiveKitParams(audio_out_enabled=True),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||
)
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
task = PipelineTask(Pipeline([tts, transport.output()]))
|
||||
|
||||
# Register an event handler so we can play the audio when the
|
||||
# participant joins.
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant_id):
|
||||
await asyncio.sleep(1)
|
||||
await task.queue_frame(
|
||||
TextFrame(
|
||||
"Hello there! How are you doing today? Would you like to talk about the weather?"
|
||||
)
|
||||
transport = LiveKitTransport(
|
||||
url=url,
|
||||
token=token,
|
||||
room_name=room_name,
|
||||
params=LiveKitParams(audio_out_enabled=True),
|
||||
)
|
||||
|
||||
await runner.run(task)
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||
)
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
task = PipelineTask(Pipeline([tts, transport.output()]))
|
||||
|
||||
# Register an event handler so we can play the audio when the
|
||||
# participant joins.
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant_id):
|
||||
await asyncio.sleep(1)
|
||||
await task.queue_frame(
|
||||
TextFrame(
|
||||
"Hello there! How are you doing today? Would you like to talk about the weather?"
|
||||
)
|
||||
)
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -50,6 +50,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -63,6 +63,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -68,6 +68,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -47,10 +47,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
task = PipelineTask(
|
||||
Pipeline([imagegen, transport.output()]),
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
params=PipelineParams(enable_metrics=True),
|
||||
)
|
||||
|
||||
# Register an event handler so we can play the audio when the client joins
|
||||
@@ -71,6 +68,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -93,8 +93,10 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -154,7 +156,7 @@ async def offer(request: dict, background_tasks: BackgroundTasks):
|
||||
@asynccontextmanager
|
||||
async def lifespan(app: FastAPI):
|
||||
yield # Run app
|
||||
coros = [pc.disconnect() for pc in pcs_map.values()]
|
||||
coros = [pc.close() for pc in pcs_map.values()]
|
||||
await asyncio.gather(*coros)
|
||||
pcs_map.clear()
|
||||
|
||||
|
||||
@@ -9,11 +9,11 @@ import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from daily_runner import configure
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.daily_runner import configure
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
@@ -75,8 +75,10 @@ async def main():
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -158,8 +158,7 @@ async def main():
|
||||
],
|
||||
),
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
allow_interruptions=True, enable_metrics=True, enable_usage_metrics=True
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -174,6 +174,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -137,6 +137,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -133,8 +133,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -154,6 +156,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -83,8 +83,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -106,6 +108,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -113,8 +113,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -139,6 +141,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -87,8 +87,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -118,6 +120,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -81,8 +81,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -104,6 +106,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -88,8 +88,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -111,6 +113,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -86,8 +86,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -109,6 +111,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -90,8 +90,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -113,6 +115,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,9 +84,11 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
audio_out_sample_rate=24000,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -108,6 +110,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -89,8 +89,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -112,6 +114,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -87,8 +87,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -110,6 +112,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -92,8 +92,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -114,6 +116,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -80,8 +80,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -103,6 +105,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -85,6 +85,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -108,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -87,8 +87,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -110,6 +112,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -88,8 +88,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -111,6 +113,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -86,8 +86,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -109,6 +111,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -89,8 +89,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -112,6 +114,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -83,8 +83,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -106,6 +108,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -80,8 +80,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -103,6 +105,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -258,6 +258,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -281,6 +282,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -77,8 +77,8 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -97,6 +97,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,8 +84,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -107,6 +109,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -83,8 +83,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -106,6 +108,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -86,8 +86,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -109,6 +111,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -70,8 +70,10 @@ async def main():
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -90,8 +90,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -113,6 +115,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -89,8 +89,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -112,6 +114,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -96,6 +96,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -11,7 +11,6 @@ import tkinter as tk
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.examples.run import maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import (
|
||||
Frame,
|
||||
InputAudioRawFrame,
|
||||
@@ -108,7 +107,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
await maybe_capture_participant_camera(transport, client, framerate=30)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
@@ -121,6 +119,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -85,13 +85,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
@@ -110,6 +104,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -162,6 +162,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,9 +10,9 @@ from typing import Optional
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -105,7 +105,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
# Set the participant ID in the image requester
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -125,6 +125,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,9 +10,9 @@ from typing import Optional
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -101,17 +101,14 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
params=PipelineParams(allow_interruptions=True),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
# Set the participant ID in the image requester
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -131,6 +128,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,9 +10,9 @@ from typing import Optional
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -101,17 +101,14 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
params=PipelineParams(allow_interruptions=True),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
# Set the participant ID in the image requester
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -131,6 +128,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,9 +10,9 @@ from typing import Optional
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -101,17 +101,14 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
params=PipelineParams(allow_interruptions=True),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
# Set the participant ID in the image requester
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -131,6 +128,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -72,6 +72,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -66,6 +66,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -66,6 +66,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -87,6 +87,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -65,6 +65,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -84,7 +84,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=False,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -99,6 +99,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -1,71 +0,0 @@
|
||||
#
|
||||
# Copyright (c) 2024–2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import argparse
|
||||
import os
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import Frame, TranscriptionFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.cartesia.stt import CartesiaSTTService
|
||||
from pipecat.transports.base_transport import BaseTransport, TransportParams
|
||||
from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
|
||||
from pipecat.transports.services.daily import DailyParams
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
class TranscriptionLogger(FrameProcessor):
|
||||
async def process_frame(self, frame: Frame, direction: FrameDirection):
|
||||
await super().process_frame(frame, direction)
|
||||
|
||||
if isinstance(frame, TranscriptionFrame):
|
||||
print(f"Transcription: {frame.text}")
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
# instantiated. The function will be called when the desired transport gets
|
||||
# selected.
|
||||
transport_params = {
|
||||
"daily": lambda: DailyParams(audio_in_enabled=True),
|
||||
"twilio": lambda: FastAPIWebsocketParams(audio_in_enabled=True),
|
||||
"webrtc": lambda: TransportParams(audio_in_enabled=True),
|
||||
}
|
||||
|
||||
|
||||
async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
|
||||
logger.info(f"Starting bot")
|
||||
|
||||
stt = CartesiaSTTService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
base_url=os.getenv("CARTESIA_BASE_URL"),
|
||||
)
|
||||
|
||||
tl = TranscriptionLogger()
|
||||
|
||||
pipeline = Pipeline([transport.input(), stt, tl])
|
||||
|
||||
task = PipelineTask(pipeline)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
@@ -30,13 +30,10 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||
await params.result_callback({"name": "The Golden Dragon"})
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
# instantiated. The function will be called when the desired transport gets
|
||||
# selected.
|
||||
@@ -74,11 +71,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# 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)
|
||||
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
@@ -96,18 +88,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
},
|
||||
required=["location", "format"],
|
||||
)
|
||||
restaurant_function = FunctionSchema(
|
||||
name="get_restaurant_recommendation",
|
||||
description="Get a restaurant recommendation",
|
||||
properties={
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
|
||||
tools = ToolsSchema(standard_tools=[weather_function])
|
||||
|
||||
messages = [
|
||||
{
|
||||
@@ -134,8 +115,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -156,6 +139,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -33,10 +33,6 @@ async def get_weather(params: FunctionCallParams):
|
||||
await params.result_callback(f"The weather in {location} is currently 72 degrees and sunny.")
|
||||
|
||||
|
||||
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||
await params.result_callback({"name": "The Golden Dragon"})
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
# instantiated. The function will be called when the desired transport gets
|
||||
# selected.
|
||||
@@ -70,11 +66,9 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
)
|
||||
|
||||
llm = AnthropicLLMService(
|
||||
api_key=os.getenv("ANTHROPIC_API_KEY"),
|
||||
model="claude-3-7-sonnet-latest",
|
||||
api_key=os.getenv("ANTHROPIC_API_KEY"), model="claude-3-7-sonnet-latest"
|
||||
)
|
||||
llm.register_function("get_weather", get_weather)
|
||||
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_weather",
|
||||
@@ -87,18 +81,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
restaurant_function = FunctionSchema(
|
||||
name="get_restaurant_recommendation",
|
||||
description="Get a restaurant recommendation",
|
||||
properties={
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
|
||||
tools = ToolsSchema(standard_tools=[weather_function])
|
||||
|
||||
# todo: test with very short initial user message
|
||||
|
||||
@@ -127,8 +110,8 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -149,6 +132,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,11 +10,11 @@ import os
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||||
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
@@ -172,8 +172,8 @@ If you need to use a tool, simply use the tool. Do not tell the user the tool yo
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -181,7 +181,7 @@ If you need to use a tool, simply use the tool. Do not tell the user the tool yo
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
global client_id
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -200,6 +200,6 @@ If you need to use a tool, simply use the tool. Do not tell the user the tool yo
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||||
from pipecat.services.deepgram.stt import DeepgramSTTService
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -73,10 +74,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -116,13 +113,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline)
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
@@ -141,6 +132,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,14 +10,14 @@ import os
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||||
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||||
from pipecat.services.deepgram.stt import DeepgramSTTService
|
||||
@@ -158,19 +158,13 @@ indicate you should use the get_image tool are:
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline)
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
global client_id
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -189,6 +183,6 @@ indicate you should use the get_image tool are:
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -10,11 +10,11 @@ import os
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from run import get_transport_client_id, maybe_capture_participant_video
|
||||
|
||||
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||||
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
|
||||
from pipecat.frames.frames import TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -35,14 +35,11 @@ client_id = ""
|
||||
|
||||
|
||||
async def get_weather(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
location = params.arguments["location"]
|
||||
await params.result_callback(f"The weather in {location} is currently 72 degrees and sunny.")
|
||||
|
||||
|
||||
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||
await params.result_callback({"name": "The Golden Dragon"})
|
||||
|
||||
|
||||
async def get_image(params: FunctionCallParams):
|
||||
question = params.arguments["question"]
|
||||
logger.debug(f"Requesting image with user_id={client_id}, question={question}")
|
||||
@@ -96,11 +93,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
llm = GoogleLLMService(api_key=os.getenv("GOOGLE_API_KEY"), model="gemini-2.0-flash-001")
|
||||
llm.register_function("get_weather", get_weather)
|
||||
llm.register_function("get_image", get_image)
|
||||
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_weather",
|
||||
@@ -118,17 +110,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
},
|
||||
required=["location", "format"],
|
||||
)
|
||||
restaurant_function = FunctionSchema(
|
||||
name="get_restaurant_recommendation",
|
||||
description="Get a restaurant recommendation",
|
||||
properties={
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
get_image_function = FunctionSchema(
|
||||
name="get_image",
|
||||
description="Get an image from the video stream.",
|
||||
@@ -140,14 +121,14 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
},
|
||||
required=["question"],
|
||||
)
|
||||
tools = ToolsSchema(standard_tools=[weather_function, get_image_function, restaurant_function])
|
||||
tools = ToolsSchema(standard_tools=[weather_function, get_image_function])
|
||||
|
||||
system_prompt = """\
|
||||
You are a helpful assistant who converses with a user and answers questions. Respond concisely to general questions.
|
||||
|
||||
Your response will be turned into speech so use only simple words and punctuation.
|
||||
|
||||
You have access to three tools: get_weather, get_restaurant_recommendation, and get_image.
|
||||
You have access to two tools: get_weather and get_image.
|
||||
|
||||
You can respond to questions about the weather using the get_weather tool.
|
||||
|
||||
@@ -183,6 +164,7 @@ indicate you should use the get_image tool are:
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -192,7 +174,7 @@ indicate you should use the get_image tool are:
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
|
||||
await maybe_capture_participant_camera(transport, client)
|
||||
await maybe_capture_participant_video(transport, client)
|
||||
|
||||
global client_id
|
||||
client_id = get_transport_client_id(transport, client)
|
||||
@@ -211,6 +193,6 @@ indicate you should use the get_image tool are:
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
@@ -31,6 +31,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -73,10 +74,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -121,6 +118,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -143,6 +141,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -111,6 +111,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -133,6 +134,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -74,10 +75,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -120,6 +117,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -142,6 +140,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -73,10 +74,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -119,6 +116,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -141,6 +139,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -71,10 +72,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -117,6 +114,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -139,6 +137,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -70,10 +71,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -126,8 +123,10 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -148,6 +147,6 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -70,10 +71,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -126,8 +123,10 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -148,6 +147,6 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -74,10 +75,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -120,8 +117,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -142,6 +141,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -90,8 +90,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -112,6 +114,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -70,10 +71,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -116,6 +113,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -138,6 +136,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -75,10 +76,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -122,6 +119,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
@@ -144,6 +142,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -30,6 +30,7 @@ load_dotenv(override=True)
|
||||
|
||||
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.llm.push_frame(TTSSpeakFrame("Let me check on that."))
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
@@ -71,10 +72,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
|
||||
@llm.event_handler("on_function_calls_started")
|
||||
async def on_function_calls_started(service, function_calls):
|
||||
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -118,8 +115,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -140,6 +139,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -32,10 +32,6 @@ async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||
await params.result_callback({"name": "The Golden Dragon"})
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
# instantiated. The function will be called when the desired transport gets
|
||||
# selected.
|
||||
@@ -78,7 +74,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# 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)
|
||||
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
@@ -96,18 +91,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
},
|
||||
required=["location", "format"],
|
||||
)
|
||||
restaurant_function = FunctionSchema(
|
||||
name="get_restaurant_recommendation",
|
||||
description="Get a restaurant recommendation",
|
||||
properties={
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
|
||||
tools = ToolsSchema(standard_tools=[weather_function])
|
||||
|
||||
messages = [
|
||||
{
|
||||
@@ -134,8 +118,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -157,6 +143,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -147,13 +147,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
@@ -178,6 +172,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -135,13 +135,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
@@ -166,6 +160,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -90,8 +90,8 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -143,6 +143,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -117,8 +117,9 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -140,6 +141,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -66,7 +66,7 @@ async def run_example(transport: BaseTransport, args: argparse.Namespace, handle
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
parser = argparse.ArgumentParser(description="Pipecat Bot Runner")
|
||||
parser.add_argument("-i", "--input", type=str, required=True, help="Input video file")
|
||||
|
||||
@@ -62,6 +62,6 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
@@ -14,12 +14,10 @@ from loguru import logger
|
||||
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||||
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import TranscriptionMessage
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.transcript_processor import TranscriptProcessor
|
||||
from pipecat.services.llm_service import FunctionCallParams
|
||||
from pipecat.services.openai_realtime_beta import (
|
||||
InputAudioNoiseReduction,
|
||||
@@ -47,10 +45,6 @@ async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
)
|
||||
|
||||
|
||||
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||
await params.result_callback({"name": "The Golden Dragon"})
|
||||
|
||||
|
||||
weather_function = FunctionSchema(
|
||||
name="get_current_weather",
|
||||
description="Get the current weather",
|
||||
@@ -68,20 +62,8 @@ weather_function = FunctionSchema(
|
||||
required=["location", "format"],
|
||||
)
|
||||
|
||||
restaurant_function = FunctionSchema(
|
||||
name="get_restaurant_recommendation",
|
||||
description="Get a restaurant recommendation",
|
||||
properties={
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
},
|
||||
required=["location"],
|
||||
)
|
||||
|
||||
# Create tools schema
|
||||
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
|
||||
tools = ToolsSchema(standard_tools=[weather_function])
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
@@ -118,7 +100,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
|
||||
# turn_detection=False,
|
||||
input_audio_noise_reduction=InputAudioNoiseReduction(type="near_field"),
|
||||
# tools=tools,
|
||||
instructions="""You are a helpful and friendly AI.
|
||||
instructions="""Your knowledge cutoff is 2023-10. You are a helpful and friendly AI.
|
||||
|
||||
Act like a human, but remember that you aren't a human and that you can't do human
|
||||
things in the real world. Your voice and personality should be warm and engaging, with a lively and
|
||||
@@ -127,14 +109,10 @@ playful tone.
|
||||
If interacting in a non-English language, start by using the standard accent or dialect familiar to
|
||||
the user. Talk quickly. You should always call a function if you can. Do not refer to these rules,
|
||||
even if you're asked about them.
|
||||
|
||||
-
|
||||
You are participating in a voice conversation. Keep your responses concise, short, and to the point
|
||||
unless specifically asked to elaborate on a topic.
|
||||
|
||||
You have access to the following tools:
|
||||
- get_current_weather: Get the current weather for a given location.
|
||||
- get_restaurant_recommendation: Get a restaurant recommendation for a given location.
|
||||
|
||||
Remember, your responses should be short. Just one or two sentences, usually.""",
|
||||
)
|
||||
|
||||
@@ -147,9 +125,6 @@ Remember, your responses should be short. Just one or two sentences, usually."""
|
||||
# you can either register a single function for all function calls, or specific functions
|
||||
# llm.register_function(None, fetch_weather_from_api)
|
||||
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||
|
||||
transcript = TranscriptProcessor()
|
||||
|
||||
# Create a standard OpenAI LLM context object using the normal messages format. The
|
||||
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
|
||||
@@ -176,9 +151,7 @@ Remember, your responses should be short. Just one or two sentences, usually."""
|
||||
transport.input(), # Transport user input
|
||||
context_aggregator.user(),
|
||||
llm, # LLM
|
||||
transcript.user(), # Placed after the LLM, as LLM pushes TranscriptionFrames downstream
|
||||
transport.output(), # Transport bot output
|
||||
transcript.assistant(), # After the transcript output, to time with the audio output
|
||||
context_aggregator.assistant(),
|
||||
]
|
||||
)
|
||||
@@ -186,8 +159,10 @@ Remember, your responses should be short. Just one or two sentences, usually."""
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -202,21 +177,12 @@ Remember, your responses should be short. Just one or two sentences, usually."""
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
|
||||
# Register event handler for transcript updates
|
||||
@transcript.event_handler("on_transcript_update")
|
||||
async def on_transcript_update(processor, frame):
|
||||
for msg in frame.messages:
|
||||
if isinstance(msg, TranscriptionMessage):
|
||||
timestamp = f"[{msg.timestamp}] " if msg.timestamp else ""
|
||||
line = f"{timestamp}{msg.role}: {msg.content}"
|
||||
logger.info(f"Transcript: {line}")
|
||||
|
||||
runner = PipelineRunner(handle_sigint=handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.examples.run import main
|
||||
from run import main
|
||||
|
||||
main(run_example, transport_params=transport_params)
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user