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4ccff54dbe
* WIP:logging * serialize request, response and client * Fixed code formatting. * Updated to use a global package, and added some test cases. Still very-much a draft. * Update work in progress. * adding cost * log new agent * update log_completion test in test_agent_telemetry * tests * fix formatting * Added additional telemetry for wrappers and clients. * WIP: add test for oai client and oai wrapper table * update test_telemetry * fix format * More tests, update doc and clean up * small fix for session id - moved to start_logging and return from start_logging * update start_logging type to return str, add notebook to demonstrate use of telemetry * add ability to get log dataframe * precommit formatting fixes * formatting fix * Remove pandas dependency from telemetry and only use in notebook * formatting fixes * log query exceptions * fix formatting * fix ci * fix comment - add notebook link in doc and fix groupchat serialization * small fix * do not serialize Agent * formatting * wip * fix test * serialization bug fix for soc moderator * fix test and clean up * wip: add version table * fix test * fix test * fix test * make the logging interface more general and fix client model logging * fix format * fix formatting and tests * fix * fix comment * Renaming telemetry to logging * update notebook * update doc * formatting * formatting and clean up * fix doc * fix link and title * fix notebook format and fix comment * format * try fixing agent test and update migration guide * fix link * debug print * debug * format * add back tests * fix tests --------- Co-authored-by: Adam Fourney <adamfo@microsoft.com> Co-authored-by: Victor Dibia <victordibia@microsoft.com> Co-authored-by: Chi Wang <wang.chi@microsoft.com>
35 lines
2.2 KiB
Markdown
35 lines
2.2 KiB
Markdown
# Migration Guide
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## Migrating to 0.2
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openai v1 is a total rewrite of the library with many breaking changes. For example, the inference requires instantiating a client, instead of using a global class method.
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Therefore, some changes are required for users of `pyautogen<0.2`.
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- `api_base` -> `base_url`, `request_timeout` -> `timeout` in `llm_config` and `config_list`. `max_retry_period` and `retry_wait_time` are deprecated. `max_retries` can be set for each client.
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- MathChat is unsupported until it is tested in future release.
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- `autogen.Completion` and `autogen.ChatCompletion` are deprecated. The essential functionalities are moved to `autogen.OpenAIWrapper`:
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```python
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from autogen import OpenAIWrapper
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client = OpenAIWrapper(config_list=config_list)
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response = client.create(messages=[{"role": "user", "content": "2+2="}])
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print(client.extract_text_or_completion_object(response))
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```
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- Inference parameter tuning and inference logging features are updated:
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```python
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import autogen.runtime_logging
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# Start logging
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autogen.runtime_logging.start()
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# Stop logging
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autogen.runtime_logging.stop()
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```
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Checkout [Logging documentation](https://microsoft.github.io/autogen/docs/Use-Cases/enhanced_inference#logging) and [Logging example notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_logging.ipynb) to learn more.
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Inference parameter tuning can be done via [`flaml.tune`](https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function).
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- `seed` in autogen is renamed into `cache_seed` to accommodate the newly added `seed` param in openai chat completion api. `use_cache` is removed as a kwarg in `OpenAIWrapper.create()` for being automatically decided by `cache_seed`: int | None. The difference between autogen's `cache_seed` and openai's `seed` is that:
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- autogen uses local disk cache to guarantee the exactly same output is produced for the same input and when cache is hit, no openai api call will be made.
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- openai's `seed` is a best-effort deterministic sampling with no guarantee of determinism. When using openai's `seed` with `cache_seed` set to None, even for the same input, an openai api call will be made and there is no guarantee for getting exactly the same output.
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