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Releases: svilupp/PromptingTools.jl

v0.53.0

09 Sep 09:29
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PromptingTools v0.53.0

Diff since v0.52.0

Added

  • Added beta headers to enable long outputs (up to 8K tokens) with Anthropic's Sonnet 3.5 (see ?anthropic_extra_headers).
  • Added a kwarg to prefill (aiprefill) AI responses with Anthropic's models to improve steerability (see ?aigenerate).

Updated

  • Documentation of aigenerate to make it clear that if streamcallback is provide WITH flavor set, there is no automatic configuration and the user must provide the correct api_kwargs.
  • Grouped Anthropic's beta headers as a comma-separated string as per the latest API specification.

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v0.52.0

07 Sep 18:50
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PromptingTools v0.52.0

Diff since v0.51.0

Added

  • Added a new EXPERIMENTAL streamcallback kwarg for aigenerate with the OpenAI and Anthropic prompt schema to enable custom streaming implementations. Simplest usage is simply with streamcallback=stdout, which will print each text chunk into the console. System is modular enabling custom callbacks and allowing you to inspect received chunks. See ?StreamCallback for more information. It does not support tools yet.

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v0.51.0

03 Sep 08:51
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PromptingTools v0.51.0

Diff since v0.50.0

Added

Added more flexible structured extraction with aiextract -> now you can simply provide the field names and, optionally, their types without specifying the struct itself (in aiextract, provide the fields like return_type = [:field_name => field_type]).
Added a way to attach field-level descriptions to the generated JSON schemas to better structured extraction (see ?update_schema_descriptions! to see the syntax), which was not possible with struct-only extraction.

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v0.50.0

16 Aug 07:19
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PromptingTools v0.50.0

Diff since v0.49.0

Breaking Changes

  • AIMessage and DataMessage now have a new field extras to hold any API-specific metadata in a simple dictionary. Change is backward-compatible (defaults to nothing).

Added

  • Added EXPERIMENTAL support for Anthropic's new prompt cache (see ?aigenerate and look for cache kwarg). Note that COST estimate will be wrong (ignores the caching discount for now).
  • Added a new extras field to AIMessage and DataMessage to hold any API-specific metadata in a simple dictionary (eg, used for reporting on the cache hit/miss).

Commits

Merged pull requests:

  • Add experimental prompt cache support for Anthropic (#198) (@svilupp)

v0.49.0

14 Aug 08:08
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PromptingTools v0.49.0

Diff since v0.48.0

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v0.48.0

09 Aug 08:36
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PromptingTools v0.48.0

Diff since v0.47.0

Added

  • Implements the new OpenAI structured output mode for aiextract (just provide kwarg strict=true). Reference blog post.

Commits

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Closed issues:

  • Broken on Julia 1.11beta2 (#158)
  • Add support for OpenAI's Structured Outputs (#191)

v0.47.0

08 Aug 07:24
e1bde17
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PromptingTools v0.47.0

Diff since v0.46.0

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Closed issues:

  • Unable to get started (#168)

v0.46.0

07 Aug 07:01
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PromptingTools v0.46.0

Diff since v0.45.0

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v0.45.0

04 Aug 20:17
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PromptingTools v0.45.0

Diff since v0.44.0

Breaking Change

  • getindex(::MultiIndex, ::MultiCandidateChunks) now returns sorted chunks by default (sorted=true) to guarantee that potential context (=chunks) is sorted by descending similarity score across different sub-indices.

Updated

  • Updated a hcat implementation in RAGTools.get_embeddings to reduce memory allocations for large embedding batches (c. 3x fewer allocations, see hcat_truncate).
  • Updated length_longest_common_subsequence signature to work only for pairs of AbstractString to not fail silently when wrong arguments are provided.

Fixed

  • Changed the default behavior of getindex(::MultiIndex, ::MultiCandidateChunks) to always return sorted chunks for consistency with other similar functions and correct retrieve behavior. This was accidentally changed in v0.40 and is now reverted to the original behavior.

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v0.44.0

30 Jul 19:30
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PromptingTools v0.44.0

Diff since v0.43.0

Added

  • Added Mistral Large 2 and Mistral-Nemo to the model registry (alias mistral-nemo).

Fixed

  • Fixed a bug where wrap_string would not correctly split very long Unicode words.

Commits

Merged pull requests: