promptflow-devkit package#

v1.16.0 (2024.09.30)#

Add promptflow to dockerfile when build flow with python_requirements_txt incase promptflow not exists in custom requirements.

Fix incompatibility with trace.NoOpTracerProvider when set exporter to prompt flow service.
Add missing user agent in trace usage telemetry.

Upload local run details to cloud when trace destination is configured to cloud.

Interactive browser credential is excluded by default when using Azure AI connections, user could set PF_NO_INTERACTIVE_LOGIN=False to enable it.
Visualize flex flow run(s) switches to trace UI page.
Add new --engine parameter for pf flow serve. This parameter can be used to switch python serving engine between flask and fastapi, currently it defaults to flask.
Return the secrets in the connection object by default to improve flex flow experience.
- Behaviors not changed: ‘pf connection’ command will scrub secrets.
- New behavior: connection object by client.connection.get will have real secrets. print(connection_obj) directly will scrub those secrets. print(connection_obj.api_key) or print(connection_obj.secrets) will print the REAL secrets.

Fix the issue that import error will be raised after downgrading promptflow from >=1.10.0 to <1.8.0.
Fix the issue that pf flow serve is broken with exception NotADirectoryError.
Fix the issue that chat window error is hard to understand.
Fix the perf issue because of dns delay when check pfs status.
Fix the issue that original flex yaml will be overridden when testing non-yaml flow
Fix “Failed to load trace … is not valid JSON” when traces inputs/outputs have invalid JSON values like -Infinity, Infinity and NaN.
[promptflow-devkit] Fix run snapshot does not honor gitignore/amlignore.

Expose –ui to trigger a chat window, reach here for more details.
The pf config set <key=value> support set the folder where the config is saved by --path config_folder parameter, and the config will take effect when os.getcwd is a subdirectory of the specified folder.
Local serving container support using fastapi engine and tuning worker/thread num via environment variables, reach here for more details.
Prompty supports to flow test and batch run, reach here for more details.