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https://github.com/Alkatrazz24/Funk-lab.git
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* feat(stt): mémoire long-terme sémantique via Qdrant (5b) Serveur : longterm.py — collection Qdrant stt-memory (embeddings Qwen3 gpu-01, dim auto, Cosine), recall top-k injecté au prompt, remember des tours user. Tout dégrade proprement si Qdrant/embeddings injoignables (la mémoire court-terme tient). Env STT_MEMORY_LONGTERM, STT_QDRANT_URL, STT_EMBED_URL, STT_MEMORY_TOPK. Testé en process : dégradation OK (Qdrant down → mem=0, pas de crash, court-terme tient). Qdrant réparé le 17/06 (5c). Recherche sémantique réelle à valider sur cluster. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT * feat(stt): endpoint /v1/memory/health + upsert Qdrant synchrone - /v1/memory/health sonde activement embeddings + Qdrant + collection et expose les erreurs (recall/remember dégradent en silence → indébogables). Permet de diagnostiquer la mémoire long-terme sans kubectl exec. - remember() : upsert avec ?wait=true → le souvenir est immédiatement cherchable (sans wait, Qdrant met l'écriture en file → un recall cross-session immédiat pouvait le rater). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT * docs(stt): 5b mémoire long-terme validée en prod + backlog nomic-embed-text - Rappel cross-session confirmé (« Felix » retrouvé dans une nouvelle session), points_count vérifié via /v1/memory/health. - Note du fix upsert ?wait=true et de l'endpoint de diagnostic. - Roadmap : 5d (nomic-embed-text dim 768) en backlog qualité ; états haut/bas du doc mis à jour (déployé + validé sur cible). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT * feat(stt): embeddings dédiés nomic-embed-text sur gpu-01 (:1238) + migration auto Remplace Qwen3 (chat réutilisé, dim 4096, peu discriminant) par un modèle d'embedding spécialisé nomic-embed-text (dim 768) pour la mémoire long-terme. Ansible (rôle llama_server) : - nouvelle instance optionnelle `llama-embed` (llama_embed_enabled) servant un modèle d'embedding dédié sur :1238, GPU ; télécharge le GGUF si absent. - activée sur gpu-01 (host_vars) : nomic-embed-text-v1.5 f16. STT-server : - STT_EMBED_URL → :1238, STT_EMBED_MODEL → nomic-embed-text (deployment + config). - _ensure_collection détecte le changement de dimension (4096→768) et recrée automatiquement la collection stt-memory (anciens vecteurs incomparables) — pas de drop manuel. Docs : llama_server README, rag.md, stt.md (5d ✅), CLAUDE.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT --------- Co-authored-by: Claude <noreply@anthropic.com>
125 lines
3.3 KiB
YAML
125 lines
3.3 KiB
YAML
---
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- name: Install build dependencies
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ansible.builtin.dnf:
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name:
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- cmake
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- gcc-c++
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- git
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- patchelf
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- hipblas-devel
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- rocblas-devel
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- hip-devel
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- hipcc
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state: present
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- name: Clone llama.cpp
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ansible.builtin.git:
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repo: https://github.com/ggerganov/llama.cpp
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dest: /opt/llama.cpp
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depth: 1
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version: "{{ llama_server_commit | default('HEAD') }}"
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register: llama_clone
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- name: Check if llama-server binary exists
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ansible.builtin.stat:
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path: /opt/llama.cpp/build/bin/llama-server
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register: llama_server_binary_stat
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- name: Configure cmake build (ROCm HIP)
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ansible.builtin.command:
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cmd: >
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cmake -B build
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-DGGML_HIP=ON
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-DAMDGPU_TARGETS={{ llama_amdgpu_targets }}
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-DCMAKE_BUILD_TYPE=Release
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-DROCM_PATH={{ rocm_path }}
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-DCMAKE_PREFIX_PATH={{ rocm_path }}
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-DCMAKE_HIP_COMPILER={{ rocm_path }}/llvm/bin/clang++
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chdir: /opt/llama.cpp
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environment:
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PATH: "{{ rocm_path }}/bin:{{ ansible_env.PATH }}"
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when: llama_clone is changed or not llama_server_binary_stat.stat.exists
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- name: Build llama-server
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ansible.builtin.command:
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cmd: cmake --build build --target llama-server -j{{ ansible_processor_nproc }}
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chdir: /opt/llama.cpp
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environment:
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PATH: "{{ rocm_path }}/bin:{{ ansible_env.PATH }}"
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when: llama_clone is changed or not llama_server_binary_stat.stat.exists
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- name: Deploy systemd service
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ansible.builtin.template:
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src: llama-server.service.j2
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dest: /etc/systemd/system/llama-server.service
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mode: '0644'
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notify:
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- Reload systemd
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- Restart llama-server
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- name: Enable llama-server service
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ansible.builtin.systemd:
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name: llama-server
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enabled: true
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daemon_reload: true
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state: started
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- name: Open port in firewall
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ansible.posix.firewalld:
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port: "{{ llama_server_port }}/tcp"
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permanent: true
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state: enabled
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immediate: true
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- name: Disable lm-studio service (replaced by llama-server)
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ansible.builtin.systemd:
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name: lm-studio
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enabled: false
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state: stopped
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ignore_errors: true
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# --- Instance dédiée embeddings (nomic-embed-text) — optionnelle ---------------
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- name: Ensure embedding model directory exists
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ansible.builtin.file:
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path: "{{ llama_embed_model_path | dirname }}"
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state: directory
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mode: '0755'
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when: llama_embed_enabled and llama_embed_model_path | length > 0
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- name: Download embedding model (GGUF) if absent
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ansible.builtin.get_url:
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url: "{{ llama_embed_model_url }}"
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dest: "{{ llama_embed_model_path }}"
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mode: '0644'
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timeout: 120
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when:
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- llama_embed_enabled
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- llama_embed_model_url | length > 0
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- llama_embed_model_path | length > 0
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- name: Deploy embedding llama-server service
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ansible.builtin.template:
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src: llama-embed.service.j2
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dest: /etc/systemd/system/llama-embed.service
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mode: '0644'
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notify:
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- Reload systemd
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- Restart llama-embed
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when: llama_embed_enabled
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- name: Enable embedding llama-server service
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ansible.builtin.systemd:
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name: llama-embed
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enabled: true
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daemon_reload: true
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state: started
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when: llama_embed_enabled
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- name: Open embedding port in firewall
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ansible.posix.firewalld:
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port: "{{ llama_embed_port }}/tcp"
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permanent: true
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state: enabled
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immediate: true
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when: llama_embed_enabled
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