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python314-langchain-openai-1.6.0-1.1 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: python314-langchain-openai Distribution: openSUSE Tumbleweed
Version: 1.6.0 Vendor: openSUSE
Release: 1.1 Build date: Thu Aug 20 07:52:43 2026
Group: Unspecified Build host: reproducible
Size: 1050257 Source RPM: python-langchain-openai-1.6.0-1.1.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/langchain-ai/langchain
Summary: An integration package connecting OpenAI and LangChain
 
This package contains the LangChain integrations for OpenAI through their
openai SDK.

It provides chat models, LLMs, embeddings and tokenization helpers that let
the OpenAI and Azure OpenAI services be used as components in the LangChain
ecosystem.

Provides

Requires

License

MIT

Changelog

* Thu Aug 20 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.6.0:
    * Map OpenAI SDK failures onto the new standard model exception
      types from langchain-core 1.6.0
    * Raise a clear error on an unexpected response type in
      _create_chat_result
  - Follow upstream and raise the langchain-core requirement floor
    to 1.6.0
* Wed Aug 19 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.5.2:
    * Preserve consecutive reasoning-item boundaries when converting
      v1 content blocks back to Responses API input: fragments are
      only merged when their IDs match, so a later tool turn no
      longer loses a required reasoning item
    * Extract LangSmith gateway metadata from response headers when
      present and attach it to traces
    * Support o-series models (o1, o3, o4 families) in
      get_num_tokens_from_messages instead of raising
      NotImplementedError
  - Follow upstream and raise the langchain-core requirement floor
    to 1.5.6
  - Add python-httpx2 as a test BuildRequires so the chat-model unit
    tests can collect (they now import httpx2 at module level)
  - Deselect the new o-series token-counting unit test that would
    download a tiktoken BPE encoding in the offline build
* Tue Aug 18 2026 Martin Pluskal <mpluskal@suse.com>
  - Avoid variations from --nocheck: move bytecode recompilation and
    fdupes from %check to %install (boo#1227364)
* Sat Aug 15 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.5.1:
    * Preserve streamed encrypted reasoning: the encrypted_content of a
      reasoning item is now emitted once, from the Responses API
      response.output_item.done event, instead of being concatenated
      with the incomplete value carried by the preceding
      response.output_item.added event, which produced a doubled and
      therefore unusable string
    * Stop echoing reasoning blocks back to the Responses API when
      their encrypted_content is present but empty
  - Run the bulk of the chat-model unit tests during %check: the whole
    tests/unit_tests/chat_models/test_base.py module was skipped even
    though only one of its tests needs python-langchain-tests (not in
    Factory); it is now collected, with that one test and the two
    token-counting test functions that would download a tiktoken BPE
    encoding deselected instead
* Fri Aug 14 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.5.0:
    * Support the openai 3.0 SDK: a new internal compatibility module
      resolves the httpx library the installed SDK is built on (httpx2
      on openai 3.x, httpx on 2.x), so the transport, connection-limit
      and proxy objects handed to the client always come from the same
      library as the client itself; the accepted openai range widens
      to < 4.0.0 accordingly
    * Report a clearer import error when the httpx used by the OpenAI
      SDK is unavailable while configuring an embeddings proxy
  - Declare the certifi dependency (>= 2024.6.2) that upstream now
    requires explicitly; it was already imported to build the default
    SSL context
  - Follow upstream and raise the langchain-core requirement floor to
    1.5.4
* Mon Aug 10 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.4.3:
    * Filter invalid tool calls out of message content: blocks of type
      invalid_tool_call are now dropped when converting v1 content back
      to the Chat Completions format, alongside reasoning and tool_call
      blocks, so a malformed tool call no longer leaks into the message
      content while remaining reachable through the message's
      invalid_tool_calls attribute
    * Document that the choice between the Chat Completions API and the
      Responses API is inferred in part from the model name and is
      independent of base_url, so use_responses_api should be set
      explicitly when talking to OpenAI-compatible providers
    * Note in the include_response_headers documentation that some
      inference providers return additional metadata, such as the
      served model name, in their response headers
* Sat Aug 08 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.4.2:
    * Handle ContextWindowExceededError
    * Filter langchain-generated content block IDs
    * Preserve Responses text options
    * Redact the MCP authorization header
    * Refresh the bundled model profile data
  - Follow upstream and raise the langchain-core requirement floor to
    1.5.3
* Sat Jul 25 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to version 1.4.1:
    * Support the langsmith gateway through an environment
      variable
    * Correct the gpt-5.3-chat-latest model profile
  - Raise the langchain-core floor to 1.5.1, following upstream
    requires
* Wed Jul 22 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.4.0
  - Require langchain-core >= 1.5.0
* Sat Jul 11 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.3.5:
    * Add prompt cache breakpoint support: content blocks can carry
      a prompt_cache_breakpoint and ChatOpenAI accepts a new
      prompt_cache_options parameter for explicit/implicit caching
    * Expose cache-write token counts as cache_creation in the
      input token usage metadata (chat completions and responses)
    * Add GPT-5.6 model profiles (gpt-5.6, -luna, -sol, -terra)
    * Drop the legacy prompt_cache_retention in-memory value
      normalization now that the newer openai SDK is required
  - Raise langchain-core requirement to >= 1.4.9
  - Raise openai requirement to >= 2.45.0
* Thu Jul 09 2026 Martin Pluskal <mpluskal@suse.com>
  - Update to 1.3.4:
    * Suppress spurious pydantic serialization warnings when
      dumping OpenAI responses (chat models and Azure)
    * Use asyncio.get_running_loop() instead of the deprecated
      get_event_loop() in the async client helpers
  - Raise langchain-core requirement to >= 1.4.8
* Sun Jun 28 2026 Martin Pluskal <mpluskal@suse.com>
  - Initial package python-langchain-openai 1.3.3

Files

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Fabrice Bellet, Sun Aug 23 00:03:09 2026