server/llm/ollama_cloud.py wraps the Ollama Cloud direct API
(https://ollama.com/api/chat + bearer, stream=True) behind LLMProvider.
chat() streams LLMStreamChunk (is_first flag for TTFT measurement);
chat_full() accumulates for the debrief / branch classifier (offline).
Two models: gemma4:cloud (roleplay_model) + deepseek-v4-flash:cloud
(debrief_model, no_think mode for latency, D-020). Resolves R6 — the
adapter confirms the direct API + bearer path; a live first-token
confirmation is pending the R3 probe with a real key. Graceful no-key
degradation (no chunks, no crash). 6 unit tests pass (mocked httpx
streaming response + env model selection + chat_full accumulation).
---ci---
phase: 1
milestone: v0.1
plan: 02
task: 02-03
status: execute
persona: backend-engineer
requirements:
covered: [REQ-LLM-01, REQ-LLM-02]
---/ci---
Praxis CI
2a9111c58c