Copybara import of the project:
--
dcfb9ff720562802f9ce15c90a71b4cd40f77280 by Eugen-Bleck <eugenbleck@gmail.com>:
fix: Display full help text for adk create CLI command when arguments are missing
--
f2eea8d1e5947b1631ac2de3824d8bf0cf833cbc by Eugen-Bleck <eugenbleck@gmail.com>:
fix: Display full help text for adk run and eval CLI command when arguments are missing
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/443 from bl3ck:fix/cli-help-display c2bca420b00aa3391ab8cfb6baedc9ea0dbfb7e1
PiperOrigin-RevId: 758498242
Add a `task_completed` function to the agent so when a model finished the task, it can send a signal and the program knows it can go to next agent.
This cl include:
* Implements the `_run_live_impl` in `sequential_agent` so it can handle live case.
* Add an example for sequential agent.
* Improve error message for unimplemented _run_live_impl in other agents.
Note:
1. Compared to non-live case, live agents process a continuous streams of audio
or video, so it doesn't have a native way to tell if it's finished and should pass
to next agent or not. So we introduce a task_compelted() function so the
model can call this function to signal that it's finished the task and we
can move on to next agent.
2. live agents doesn't seems to be very useful or natural in parallel or loop agents so we don't implement it for now. If there is user demand, we can implement it easily using similar approach.
PiperOrigin-RevId: 758315430
The old implementation:
1. We only started transcription at the beginning of agent transferring.
2. The transcription service we used is not as good / fast as the model/native transcription.
In the current implementation, the live agent will rely on the llm's transcription, instead of our transcription when llm support audio transcription in the input. And in that case, the live agent won't use our own audio transcriber. This reduces the latency from 5secs to 2 secs during agent transferring. It also improves the transcription quality.
When the llm doesn't support audio transcription, we still use our audio transcriber to transcribe audio input.
PiperOrigin-RevId: 758296647
Details:
- Add a in-memory SpanExporter to capture all trace information.
- Add /debug/trace/session/{session_id} endpoint to retrieve traces from the in-memory exporter.
- Add Session ID in Telemetry spans.
PiperOrigin-RevId: 757984565
--
d481e0604a79470e2c1308827b3ecb78bfb5327e by Alan B <alan@nerds.ai>:
feat: 🚧 catch user transcription
--
bba436bb76d1d2f9d5ba969fce38ff8b8a443254 by Alan B <alan@nerds.ai>:
feat: ✨ send user transcription event as llm_response
--
ad2abf540c60895b79c50f9051a6289ce394b98d by Alan B <death1027@outlook.com>:
style: 💄 update lint problems
--
744703c06716300c0f9f41633d3bafdf4cb180a1 by Hangfei Lin <hangfeilin@gmail.com>:
fix: set right order for input transcription
--
31a5d42d6155b0e5caad0c73c8df43255322016f by Hangfei Lin <hangfeilin@gmail.com>:
remove print
--
59e5d9c72060f97d124883150989315401a4c1b5 by Hangfei Lin <hangfeilin@gmail.com>:
remove api version
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/590 from BloodBoy21:feat/api-version-vertex 1ed855249cae398b40691b91c6e468bccec07a3a
PiperOrigin-RevId: 757840099
--
84abc07d2342e88e601949faa67a3014c0f491e8 by mukundjha-mj <mukundjha204@gmail.com>:
Fix spelling mistakes, reorder sections, and improve readability in pyproject.toml
--
122c19d4be0fad394fbd02720734aa4625877637 by mukundjha-mj <mukundjha204@gmail.com>:
fix(pyproject): correct spelling and reorder config sections for clarity
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/669 from mukundjha-mj:fix/typos-pyproject 122c19d4be0fad394fbd02720734aa4625877637
PiperOrigin-RevId: 757318920
