File python-posthog.changes of Package python-posthog

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Fri Feb 20 01:13:24 UTC 2026 - Steve Kowalik <steven.kowalik@suse.com>

- Update to 7.9.3:
  * fix(llma): make prompt fetches deterministic by requiring project_api_key
    and sending it as token query param
  * feat: Support device_id as bucketing identifier for local evaluation
  * fix: limit collections scanning in code variables
  * fix: openAI input image sanitization
  * fix: avoid return from finally block to fix Python 3.14 SyntaxWarning
  * feat: Add automatic retries for feature flag requests
  * Add support for the async version of Gemini.
  * Add support for Python 3.14. Python 3.9 is no longer supported.
  * feat(llma): send web search calls to be used for LLM cost calculations
  * fix(django): Handle request.user access in async middleware context to
    prevent SynchronousOnlyOperation errors in Django 5+
  * fix(django): Restore process_exception method to capture view and
    downstream middleware exceptions
  * feat: Django middleware now supports async request handling.
  * feat: Add support for feature flag dependencies
  * fix: correctly capture exceptions processed by Django from views or
    middleware
  * feat: add a feature flag evaluation cache (local storage or redis)
  * feat: Add `setup()` function to initialise default client
  * Add context management.
  * Add support for google gemini
  * Moved ai openai package to a composition approach over inheritance.
  * Remove deprecated monotonic library.
  * Added new method get_feature_flag_result.
  * Roll out new `/flags` endpoint to 100% of `/decide` traffic.
  * Fix hash inclusion/exclusion for flag rollout
  * Roll out new /flags endpoint to 10% of /decide traffic
  * Add `log_captured_exceptions` option to proxy setup
  * Add config option to `log_captured_exceptions`
  * Add more information to `$feature_flag_called` events.
  * Support serializing dataclasses.
  * Add support for tool calls in OpenAI and Anthropic.
  * Improve quota-limited feature flag logs
  * Add support for Azure OpenAI.
  * The LangChain handler now captures tools in `$ai_generation` events, in
    property `$ai_tools`.
  * Fix async client support for OpenAI.
  * Support quota-limited feature flags
  * Evaluate feature flag payloads with case sensitivity correctly.
  * Add support for Bedrock Anthropic Usage
  * Automatically retry connection errors
  * Add support for OpenAI beta parse API.
  * Fix LangChain callback handler to capture parent run ID.
  * Add the `$ai_span` event to the LangChain callback handler to capture the
    input and output of intermediary chains.
  * Fix serialiazation of Pydantic models in methods.
  * Add `$ai_error` and `$ai_is_error` properties to LangChain callback
    handler, OpenAI, and Anthropic.
  * Fix capturing of multiple traces in the LangChain callback handler.
  * Fix importing of LangChain callback handler under certain circumstances.
  * Add `$ai_trace` event emission to LangChain callback handler.
  * Add LLM Observability with support for OpenAI and Langchain callbacks.
  * Adds a new `super_properties` parameter on the client that are appended
    to every /capture call.
  * Fix manual capture support for in app frames
  * Fix django integration support for manual exception capture.
- Drop patches:
  * python-posthog-no-mock.patch
  * python-posthog-no-six.patch
  * no-more-monotonic.patch
- Add patch remove-mock-and-six.patch, which is the first two dropped patches.

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Wed Oct  9 00:31:28 UTC 2024 - Steve Kowalik <steven.kowalik@suse.com>

- Actually remove requirement on monotonic. 

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Fri Sep 27 07:03:56 UTC 2024 - Steve Kowalik <steven.kowalik@suse.com>

- Add patch no-more-monotonic.patch:
  * Just use time.monotonic

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Thu Sep  5 17:07:16 UTC 2024 - Meera Belur <mbelur@suse.com>

- Remove dependency on python-six 

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Wed Sep  4 20:34:17 UTC 2024 - Meera Belur <mbelur@suse.com>

- Initial Package