Reads Ollama's NDJSON stream (one JSON object per line) and emits
provider.StreamEvent values for text, thinking, tool-call start/delta/end,
and a final Done event carrying assembled Response and Usage. Uses
bufio.Scanner with a 4 MiB max-line buffer so multi-KB tool-call deltas
parse cleanly, and accepts tool-call arguments delivered either as
escaped string fragments (delta-style) or a complete JSON object
(one-shot).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Non-streaming /api/chat support including:
- Vision via images: []base64
- Tool calls on assistant + tool-role response messages
- think field accepting string reasoning levels (or "true"/"false")
- Authorization header when apiKey is non-empty (cloud mode)
Tool-call arguments are passed as JSON objects to the wire and surfaced
as JSON-string Arguments on provider.ToolCall. Tool calls are assigned
synthetic IDs (tc_<index>) when Ollama omits one, so the round-trip
back as an assistant tool_calls + tool-role message remains correlated.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds wire types and a Provider struct that will replace the
openaicompat-based Ollama shim with a native /api/chat implementation.
Complete and Stream methods are stubs; subsequent commits implement them.
Adjusts the existing ollama.go to drop the type alias on
openaicompat.Provider (renaming the legacy shim to a temporary internal
helper) so the new native Provider type does not collide. Public New()
still returns the openaicompat-backed provider until Task 4 swaps it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Five OpenAI-compatible providers join the library as first-class constructors
(llm.DeepSeek, llm.Moonshot, llm.XAI, llm.Groq, llm.Ollama). Their wire-level
implementation is shared via a new v2/openaicompat package which is the
extracted guts of the old v2/openai provider; each provider supplies its own
Rules value to declare per-model constraints (e.g., DeepSeek Reasoner rejects
tools and temperature, Moonshot/xAI accept images only on *-vision* models,
Groq rejects audio input). v2/openai itself becomes a thin wrapper that sets
RestrictTemperature for o-series and gpt-5 models.
A new provider registry (v2/registry.go) exposes llm.Providers() and drives
the TUI's provider picker so adding a provider in future is a single-file
change.
The TUI at cmd/llm was migrated from v1 to v2 and moved to v2/cmd/llm. With
nothing else depending on v1, the v1 code at the repo root (all .go files,
schema/, internal/, provider/, root go.mod/go.sum) is deleted.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
steve