v0.13.0

PromptingTools v0.13.0

Diff since v0.12.0

Added

• Added initial support for Google Gemini models for aigenerate (requires environment variable GOOGLE_API_KEY and package GoogleGenAI.jl to be loaded). It must be loaded explicitly as it's not yet registered.
• Added a utility to compare any two string sequences (and other iterators)length_longest_common_subsequence. It can be used to fuzzy match strings (eg, detecting context/sources in an AI-generated response or fuzzy matching AI response to some preset categories). See the docstring for more information ?length_longest_common_subsequence.
• Rewrite of aiclassify to classify into an arbitrary list of categories (including with descriptions). It's a quick and easy option for "routing" and similar use cases, as it exploits the logit bias trick and outputs only 1 token. Currently, only OpenAISchema is supported. See ?aiclassify for more information.
• Initial support for multiple completions in one request for OpenAI-compatible API servers. Set via API kwarg n=5 and it will request 5 completions in one request, saving the network communication time and paying the prompt tokens only once. It's useful for majority voting, diversity, or challenging agentic workflows.
• Added new fields to AIMessage and DataMessage types to simplify tracking in complex applications. Added fields:
  • cost - the cost of the query (summary per call, so count only once if you requested multiple completions in one call)
  • log_prob - summary log probability of the generated sequence, set API kwarg logprobs=true to receive it
  • run_id - ID of the AI API call
  • sample_id - ID of the sample in the batch if you requested multiple completions, otherwise sample_id==nothing (they will have the same run_id)
  • finish_reason - the reason why the AI stopped generating the sequence (eg, "stop", "length") to provide more visibility for the user
• Support for Fireworks.ai and Together.ai providers for fast and easy access to open-source models. Requires environment variables FIREWORKS_API_KEY and TOGETHER_API_KEY to be set, respectively. See the ?FireworksOpenAISchema and ?TogetherOpenAISchema for more information.
• Added an extra field to ChunkIndex object for RAG workloads to allow additional flexibility with metadata for each document chunk (assumed to be a vector of the same length as the document chunks).
• Added airetry function to PromptingTools.Experimental.AgentTools to allow "guided" automatic retries of the AI calls (eg, AIGenerate which is the "lazy" counterpart of aigenerate) if a given condition fails. It's useful for robustness and reliability in agentic workflows. You can provide conditions as functions and the same holds for feedback to the model as well. See a guessing game example in ?airetry.

Updated

• Updated names of endpoints and prices of Mistral.ai models as per the latest announcement and pricing. Eg, mistral-small -> mistral-small-latest. In addition, the latest Mistral model has been added mistral-large-latest (aliased as mistral-large and mistrall, same for the others). mistral-small-latest and mistral-large-latest now support function calling, which means they will work with aiextract (You need to explicitly provide tool_choice, see the docs ?aiextract).

Removed

• Removed package extension for GoogleGenAI.jl, as it's not yet registered. Users must load the code manually for now.

Commits

Merged pull requests:

• Add google api (#75) (@svilupp)
• Add LCS matching for strings (#76) (@svilupp)
• Aiclassify arbitrary choices (#78) (@svilupp)
• Multiple competions (n) (#79) (@svilupp)
• Add more APIs (#80) (@svilupp)
• Add airetry! (#82) (@svilupp)
• Remove GoogleGenAI (#83) (@svilupp)