Elixir LangChain v0.6.3 is out! This release focuses on stability across providers and new capabilities that make building with
#LLMs in Elixir more reliable.
github.com/brainlid/lan... #ElixirLang #MyElixirStatus
Here's what's new and why it matters. 🧵
GitHub - brainlid/langchain: E...
GitHub - brainlid/langchain: Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.
Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs. - brainlid/langchain
Streaming with reasoning models (Qwen3, DeepSeek-R1) could crash with a CaseClauseError. Their `<think>` tokens produced empty responses we didn't handle. Now returns a clean error instead of crashing.
Two provider streaming crashes fixed:
- Azure OpenAI keepalive SSE events no longer crash the parser
- Mistral responses without tool_calls no longer hit the error handler
Anthropic requires `additionalProperties: false` on tool schemas or you get a cryptic `invalid_request_error`. LangChain now adds this automatically.
ChatOpenAI now supports `logprobs` and `top_logprobs`. Probability data shows up in message metadata for both streaming and non-streaming. Great for evals and confidence scoring.
ChatVertexAI tool results now support images, PDFs, and other base64 files - not just text. Multimodal agent workflows on Google's platform.
Mark Ericksen