llm.api 0.1.3

• chat() and agent() now return $usage$cost, a USD scalar derived from a bundled snapshot of BerriAI/litellm’s model_prices_and_context_window.json (the same upstream ellmer uses). Ollama is treated as free (cost = 0); models absent from the snapshot leave cost = NA_real_. A new exported helper prices_snapshot_date() returns the snapshot date so callers can decide when to refresh. Refresh by re-running data-raw/prices.R.
• New exported helpers history_tool_calls(history) and history_count_tool_calls(history, completed_only = FALSE) for walking the message history agent() returns. Provider history must stay native (it’s the input format on the next API call), but consumers now get a single canonical record list instead of having to know that Anthropic uses content blocks (tool_use / tool_result) while OpenAI / moonshot / ollama use a separate tool_calls field plus role = "tool" result messages. Each record carries id, name, arguments, result, completed, call_message_index, result_message_index, and provider_shape.
• agent() now writes the synthesized tool-call id back into the Ollama assistant message when the upstream response omits one. Previously assistant.tool_calls[i].id and the corresponding role = "tool" message’s tool_call_id could disagree, breaking history walks that paired calls with results.
• New exported helper provider_default_model(provider). Returns the model id chat() falls back to when no model is specified, so client code can display the resolved model upfront without duplicating the lookup table or reaching into internals.
• chat() now returns $thinking and $finish_reason. Reasoning models (DeepSeek-R1, Moonshot Kimi, Anthropic extended thinking, OpenRouter) put their chain-of-thought in a separate field and previously had it silently dropped. $thinking is normalized across providers (reasoning_content, reasoning, Anthropic thinking blocks). $finish_reason is normalized to OpenAI vocabulary; Anthropic’s max_tokens becomes "length" and end_turn becomes "stop".
• chat() now warns when a reasoning model truncates mid-thought (finish_reason == "length" with empty content but populated thinking). Previously this returned content == "" with no indication; the actionable signal is “raise max_tokens”.

llm.api 0.1.1

• Initial CRAN submission.
• Add Moonshot (Kimi) provider alongside OpenAI, Anthropic, and Ollama. Detected by base URL or model name; key resolution falls back to OPENAI_API_KEY since the API is OpenAI-compatible.
• Fix conversation history bug in agent() where the final assistant message was not appended to the returned history when the agent loop exited without further tool calls. Affected all providers but was most visible with non-Claude models.
• Drop the "local" provider and chat_local() / list_local_models() exports. Direct llama.cpp inference via the localLLM package is no longer supported; use provider = "ollama" instead.