0.1.5

0.1.5 - 2026-06-28

Added

• Added a dedicated prompt-caching guide and runnable example covering stable
  cache-key construction, provider-specific cache controls, and cache-hit
  inspection across OpenAI, xAI/Grok, Anthropic, Moonshot/Kimi, Gemini, and
  Z.ai.
• Added first-class OpenAI Responses and Chat Completions prompt_cache_key and
  prompt_cache_retention model options, while keeping per-call overrides.
• Added xAI/Grok cache routing support: Responses accepts prompt_cache_key,
  and Chat Completions accepts x_grok_conv_id, which BeamWeaver sends as the
  x-grok-conv-id header.

Changed

• Model traces now preserve provider-specific invocation parameters from the
  checked-in profile registry, including cache keys and cache-routing options,
  while still omitting client configuration and secrets.
• Redaction now keeps token counts and generation limits such as
  max_output_tokens, budget_tokens, and *_token_count fields so cache and
  usage telemetry remain inspectable.

Fixed

• OpenAI Responses prompt_cache_key now respects first-class model options
  ahead of model_kwargs, while per-call options continue to take precedence.
• xAI requests now merge per-call headers with default headers and let per-call
  x_grok_conv_id override the model-level conversation/cache routing header.