Refactor devcontainer and MCP tools for containerized development

Ajout et configuration d’un environnement de développement conteneurisé (devcontainer) avec support multi-langages (Go, Rust, Python), intégration d’outils LLM locaux/cloud (LM Studio, Claude Pro), et refonte des outils MCP : suppression du module sandbox, correction de la gestion des chemins projet dans jj.py, ajout d’une fonction jj_new_tool, et structuration du Makefile pour le build multiplateforme. Mise à jour des scripts (docker-entrypoint.sh, setup-devcontainer.sh), du README.md et de bin/jj-ai-commit.sh pour automatiser la génération de messages de commit à partir des résumés des fichiers modifiés.
2026-03-11 16:34:09 +01:00
parent 1c9cee35df
commit d6fb4e33e5
30 changed files with 3502 additions and 193 deletions
--- a/.builder-ready
+++ b/.builder-ready
--- a/.claude-devcontainer/.claude.json
+++ b/.claude-devcontainer/.claude.json
@@ -0,0 +1,95 @@
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--- a/.claude-devcontainer/.credentials.json
+++ b/.claude-devcontainer/.credentials.json
@@ -0,0 +1 @@
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--- a/.claude-devcontainer/backups/.claude.json.backup.1773233766711
+++ b/.claude-devcontainer/backups/.claude.json.backup.1773233766711
@@ -0,0 +1,3 @@
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--- a/.claude-devcontainer/backups/.claude.json.backup.1773234873239
+++ b/.claude-devcontainer/backups/.claude.json.backup.1773234873239
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--- a/.claude-devcontainer/backups/.claude.json.backup.1773235410241
+++ b/.claude-devcontainer/backups/.claude.json.backup.1773235410241
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--- a/.claude-devcontainer/backups/.claude.json.backup.1773235622906
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--- a/.claude-devcontainer/backups/.claude.json.backup.1773236665801
+++ b/.claude-devcontainer/backups/.claude.json.backup.1773236665801
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--- a/.claude-devcontainer/cache/changelog.md
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--- a/.claude-devcontainer/plugins/blocklist.json
+++ b/.claude-devcontainer/plugins/blocklist.json
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--- a/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676.jsonl
+++ b/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676.jsonl
--- a/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676/subagents/agent-a5343c3e31ff952a3.jsonl
+++ b/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676/subagents/agent-a5343c3e31ff952a3.jsonl
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 {"parentUuid":null,"isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","type":"user","message":{"role":"user","content":"Search for documentation about orla (github.com/dorcha-inc/orla) configuration, specifically:\n1. How to configure llm_backend for OpenAI-compatible API\n2. What config file format orla uses (YAML, TOML, JSON?)\n3. Where the config file should be placed (~/.orla, ~/.config/orla, orla.yaml, etc.)\n4. How to use a custom OpenAI-compatible endpoint with LM Studio\n\nLook at the source code at /usr/local/go/pkg/mod/github.com/dorcha-inc/ or any cached Go module. Also check if there are any orla config files in the system."},"uuid":"2f88d857-b27c-4a04-8199-33af4af15e10","timestamp":"2026-03-11T13:44:25.806Z"}
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 {"parentUuid":"bbb0b718-7ea9-46f5-9740-7c1c6722381d","isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01PAGPw45scRgRLysCoMGxr2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016nzp7WpZDqLwFYi4Z84Z3P","name":"Bash","input":{"command":"grep -r \"llm_backend\" /usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":493,"cache_read_input_tokens":13897,"output_tokens":174,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":493},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPk7s3a5xGfh79ZPxqE","type":"assistant","uuid":"ec4cdee6-b0aa-4e89-a458-d70299f1c358","timestamp":"2026-03-11T13:44:33.250Z"}
 {"parentUuid":"ec4cdee6-b0aa-4e89-a458-d70299f1c358","isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Bash","command":"callback"},"parentToolUseID":"toolu_016nzp7WpZDqLwFYi4Z84Z3P","toolUseID":"toolu_016nzp7WpZDqLwFYi4Z84Z3P","timestamp":"2026-03-11T13:44:36.191Z","uuid":"ed1cd086-1858-42e6-a33c-6695935a9e29"}
 {"parentUuid":"ec4cdee6-b0aa-4e89-a458-d70299f1c358","isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016nzp7WpZDqLwFYi4Z84Z3P","type":"tool_result","content":"/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/.github/workflows/release.yml:      - name: Test with llm_backend configuration\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/.github/workflows/release.yml:      - name: Test with llm_backend configuration\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/README.md:After installation, configure Orla to use your remote Ollama server by setting either the `OLLAMA_HOST` or the `ORLA_OLLAMA_HOST` environment variable, or using the `llm_backend` configuration in your `orla.yaml`:\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/README.md:llm_backend:\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/config/config.go:\tLLMBackend         *core.LLMBackend `yaml:\"llm_backend,omitempty\" mapstructure:\"llm_backend\"`                 // LLM backend configuration (endpoint, type, api_key)\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama.go:// 1. llm_backend.endpoint config (if llm_backend.type is \"ollama\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama.go:\t// Check llm_backend config first\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama.go:\t\t\treturn \"\", fmt.Errorf(\"llm_backend.endpoint is required if llm_backend is set\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama.go:\t\t\treturn \"\", fmt.Errorf(\"llm_backend.type is required if llm_backend is set\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama.go:\t\t\treturn \"\", fmt.Errorf(\"[BUG] llm_backend.type must be %s, got '%s': we should not be using this function for non-ollama inference servers\", core.LLMInferenceAPITypeOllama, cfg.LLMBackend.Type)\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_integration_test.go:// using llm_backend configuration. This test uses testcontainers to spin up an Ollama container\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_integration_test.go:\t// Test with llm_backend configuration pointing to the container\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_test.go:// Tests for getOllamaEndpoint with llm_backend configuration\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_test.go:\tassert.Contains(t, err.Error(), \"llm_backend.endpoint is required\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_test.go:\tassert.Contains(t, err.Error(), \"llm_backend.type is required\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/ollama_test.go:\tassert.Contains(t, err.Error(), \"llm_backend.type must be\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/openai.go:\t\treturn \"\", \"\", fmt.Errorf(\"llm_backend configuration is required for OpenAI-compatible API\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/openai.go:\t\treturn \"\", \"\", fmt.Errorf(\"llm_backend.endpoint is required\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/openai.go:\t\treturn \"\", \"\", fmt.Errorf(\"llm_backend.type is required if llm_backend is set\")\n/usr/local/go/pkg/mod/github.com/dorcha-inc/orla@v1.1.1/internal/model/openai.go:\t\treturn \"\", \"\", fmt.Errorf(\"[BUG] llm_backend.type must be %s, got '%s': we should not be using this function for non-openai inference servers\", core.LLMInferenceAPITypeOpenAI, cfg.LLMBackend.Type)","is_error":false}]},"uuid":"5992985f-2797-46aa-b0de-b01c601b9412","timestamp":"2026-03-11T13:44:36.191Z","sourceToolAssistantUUID":"ec4cdee6-b0aa-4e89-a458-d70299f1c358"}
 {"parentUuid":"bbb0b718-7ea9-46f5-9740-7c1c6722381d","isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","is_error":true,"tool_use_id":"toolu_01XqVdyDYPWtWbH29c9Pmtcz"}]},"uuid":"93dc9304-3433-4bb3-9677-0cacff2838d8","timestamp":"2026-03-11T13:48:40.019Z","toolUseResult":"User rejected tool use","sourceToolAssistantUUID":"bbb0b718-7ea9-46f5-9740-7c1c6722381d"}
 {"parentUuid":"93dc9304-3433-4bb3-9677-0cacff2838d8","isSidechain":true,"userType":"external","cwd":"/workspace","sessionId":"33cd9dcf-39f6-440b-a49f-a568379ee676","version":"2.1.71","gitBranch":"HEAD","agentId":"a5343c3e31ff952a3","slug":"rippling-frolicking-kettle","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user for tool use]"}]},"uuid":"9a098ad5-598c-4309-839f-6edd999922b8","timestamp":"2026-03-11T13:48:40.020Z"}
--- a/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676/subagents/agent-a5343c3e31ff952a3.meta.json
+++ b/.claude-devcontainer/projects/-workspace/33cd9dcf-39f6-440b-a49f-a568379ee676/subagents/agent-a5343c3e31ff952a3.meta.json
@@ -0,0 +1 @@
 {"agentType":"Explore"}
--- a/.claude-devcontainer/shell-snapshots/snapshot-bash-1773235507388-tdv2cd.sh
+++ b/.claude-devcontainer/shell-snapshots/snapshot-bash-1773235507388-tdv2cd.sh
@@ -0,0 +1,74 @@
 # Snapshot file
 # Unset all aliases to avoid conflicts with functions
 unalias -a 2>/dev/null || true
 # Functions
 # Shell Options
 shopt -u autocd
 shopt -u assoc_expand_once
 shopt -u cdable_vars
 shopt -u cdspell
 shopt -u checkhash
 shopt -u checkjobs
 shopt -s checkwinsize
 shopt -s cmdhist
 shopt -u compat31
 shopt -u compat32
 shopt -u compat40
 shopt -u compat41
 shopt -u compat42
 shopt -u compat43
 shopt -u compat44
 shopt -s complete_fullquote
 shopt -u direxpand
 shopt -u dirspell
 shopt -u dotglob
 shopt -u execfail
 shopt -u expand_aliases
 shopt -u extdebug
 shopt -u extglob
 shopt -s extquote
 shopt -u failglob
 shopt -s force_fignore
 shopt -s globasciiranges
 shopt -s globskipdots
 shopt -u globstar
 shopt -u gnu_errfmt
 shopt -u histappend
 shopt -u histreedit
 shopt -u histverify
 shopt -s hostcomplete
 shopt -u huponexit
 shopt -u inherit_errexit
 shopt -s interactive_comments
 shopt -u lastpipe
 shopt -u lithist
 shopt -u localvar_inherit
 shopt -u localvar_unset
 shopt -s login_shell
 shopt -u mailwarn
 shopt -u no_empty_cmd_completion
 shopt -u nocaseglob
 shopt -u nocasematch
 shopt -u noexpand_translation
 shopt -u nullglob
 shopt -s patsub_replacement
 shopt -s progcomp
 shopt -u progcomp_alias
 shopt -s promptvars
 shopt -u restricted_shell
 shopt -u shift_verbose
 shopt -s sourcepath
 shopt -u varredir_close
 shopt -u xpg_echo
 set -o braceexpand
 set -o hashall
 set -o interactive-comments
 set -o monitor
 set -o onecmd
 shopt -s expand_aliases
 # Aliases
 # Check for rg availability
 if ! (unalias rg 2>/dev/null; command -v rg) >/dev/null 2>&1; then
  alias rg='/home/devuser/.local/share/zed/external_agents/claude-agent-acp/0.21.0/node_modules/\@anthropic-ai/claude-agent-sdk/vendor/ripgrep/arm64-linux/rg'
 fi
 export PATH=/usr/local/cargo/bin\:/usr/local/go/bin\:/usr/local/sbin\:/usr/local/bin\:/usr/sbin\:/usr/bin\:/sbin\:/bin
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -8,4 +8,6 @@
    "terminal.integrated.shell.linux": "/bin/bash",
  },
  "features": {},
  "postCreateCommand": "npm install -g @anthropic-ai/claude-code",
  "shutdownAction": "stopCompose",
 }
--- a/.devcontainer/docker-compose.yml
+++ b/.devcontainer/docker-compose.yml
@@ -1,15 +1,24 @@
 services:
  pmocrazy-coder:
-    build:
+    image: niepce.petite-maison-orange.fr/public/pmocrazycoder:latest
      context: ..
      dockerfile: Dockerfile
    volumes:
      - ..:/workspace
      - ./config/claude:/home/devuser/.claude
      - ./config/opencode:/home/devuser/.config/opencode
      - ./config/aichat:/home/devuser/.config/aichat
      - ./config/ai_index:/workspace/.ai_index
      - ./config/cargo-registry:/home/devuser/.cargo/registry
      - ./config/cargo-git:/home/devuser/.cargo/git
      - ./config/cargo-bin:/home/devuser/.cargo/bin
      - ./config/go-cache:/home/devuser/.cache/go
      - ./config/go-bin:/home/devuser/go/bin
      - ./config/python-local:/home/devuser/.local
      - ./config/npm-cache:/home/devuser/.npm
      - ./config/r-libs:/home/devuser/R
    working_dir: /workspace
    ports:
      - "1249:1248"
    environment:
      - LOCAL_LLM_API=http://host.docker.internal:1248/v1
      - CLAUDE_CONFIG_DIR=/home/devuser/.claude
    user: devuser
    entrypoint: ["/usr/local/bin/entrypoint.sh"]
    command: ["bash", "-c", "tail -f /dev/null"]
--- a/.gitignore
+++ b/.gitignore
@@ -209,5 +209,5 @@ cython_debug/
 # PyPI configuration file
 .pypirc
-# AI Index
+.devcontainer/config/
-.ai_index/
+pmocrazycoder-latest.oci.tar
--- a/25
+++ b/25
@@ -24,13 +24,12 @@ RUN curl https://sh.rustup.rs -sSf | sh -s -- -y --default-toolchain stable && \
 RUN npm install -g typescript tsc @types/node eslint prettier pyright typescript-language-server
-RUN cargo binstall --strategies crate-meta-data jj-cli
+RUN cargo binstall --strategies crate-meta-data jj-cli aichat \
-
+    && cargo install --git https://github.com/nilskch/jj-lsp.git
 RUN cargo install --git https://github.com/nilskch/jj-lsp.git
 RUN gem install github-linguist
-RUN pip install --no-cache-dir --break-system-packages ruff fastmcp ipython
+RUN pip install --no-cache-dir --break-system-packages ruff fastmcp ipython tasklin
 RUN curl -fsSL https://opencode.ai/install | bash && \
    mkdir -p /root/.config/opencode && \
@@ -39,11 +38,11 @@ RUN curl -fsSL https://opencode.ai/install | bash && \
 ENV GOPATH=/usr/local/go
 ENV GOBIN=/usr/local/go/bin
 RUN go install golang.org/x/tools/gopls@latest \
-    && go install github.com/isaacphi/mcp-language-server@latest \
+    && go install github.com/isaacphi/mcp-language-server@latest
    && go install github.com/dorcha-inc/orla/cmd/orla@latest
 RUN mkdir -p /etc/bash_completion.d \
-    && orla completion bash > /etc/bash_completion.d/orla \
+    && curl https://raw.githubusercontent.com/sigoden/aichat/main/scripts/completions/aichat.bash \
       > /etc/bash_completion.d/aichat \
    && jj util completion bash > /etc/bash_completion.d/jj
 RUN rustup component add rust-analyzer --toolchain nightly
@@ -71,6 +70,18 @@ COPY --chown=${USERNAME}:${USERNAME} opencode /home/${USERNAME}/.config/opencode
 USER $USERNAME
 WORKDIR /workspace
 ARG OCI_VERSION=latest
 ARG OCI_CREATED=unknown
 ARG OCI_REVISION=unknown
 LABEL org.opencontainers.image.title="PMOCrazyCoder" \
      org.opencontainers.image.description="AI-powered dev container with Rust, Go, Python, Node, Jujutsu, Claude Code and opencode" \
      org.opencontainers.image.url="https://niepce.petite-maison-orange.fr/public/pmocrazycoder" \
      org.opencontainers.image.source="https://niepce.petite-maison-orange.fr/public/pmocrazycoder" \
      org.opencontainers.image.version="${OCI_VERSION}" \
      org.opencontainers.image.created="${OCI_CREATED}" \
      org.opencontainers.image.revision="${OCI_REVISION}" \
      org.opencontainers.image.licenses="CECILL-2.1"
 ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
 CMD ["/bin/bash"]
--- a/157
+++ b/157
@@ -1,28 +1,120 @@
-# Makefile pour dev container AI + MCP bootstrap
+# =============================================================================
 # Image identity
 # =============================================================================
-# Variables
+IMAGE_NAME  := pmocrazycoder
-PROJECT_DIR := $(shell pwd)
+IMAGE_TAG   := latest
 # =============================================================================
 # Registry
 # =============================================================================
 REGISTRY    := niepce.petite-maison-orange.fr/public
 # =============================================================================
 # Build platforms
 # =============================================================================
 PLATFORMS   := linux/amd64,linux/arm64
 # =============================================================================
 # Derived image identifiers
 # =============================================================================
 FULL_IMAGE  := $(REGISTRY)/$(IMAGE_NAME):$(IMAGE_TAG)
 OCI_ARCHIVE := $(IMAGE_NAME)-$(IMAGE_TAG).oci.tar
 # =============================================================================
 # Docker buildx builder
 # =============================================================================
 BUILDER := $(IMAGE_NAME)-builder
 # =============================================================================
 # OCI image annotations (injected via --build-arg)
 # =============================================================================
 OCI_VERSION  := $(IMAGE_TAG)
 OCI_CREATED  := $(shell date -u +%Y-%m-%dT%H:%M:%SZ)
 OCI_REVISION := $(shell git rev-parse --short HEAD 2>/dev/null || echo unknown)
 # =============================================================================
 # Build context
 # =============================================================================
 PROJECT_DIR    := $(shell pwd)
 BUILD_CONTEXT  := .
 DOCKERFILE     := Dockerfile
 BUILD_ARGS := \
 	--build-arg OCI_VERSION=$(OCI_VERSION) \
 	--build-arg OCI_CREATED=$(OCI_CREATED) \
 	--build-arg OCI_REVISION=$(OCI_REVISION)
 # =============================================================================
 # Dev container
 # =============================================================================
 WORKSPACE      := /workspace
 CONTAINER_NAME := ai-dev-container
-WORKSPACE := /workspace
+MCP_LOG        := $(WORKSPACE)/.ai_index/mcp.log
 MCP_LOG := $(WORKSPACE)/.ai_index/mcp.log
-# --- Dev Container Management ---
+# =============================================================================
 # Targets
 # =============================================================================
-# Build the container
+.PHONY: all build build-multiplatform push run run-mcp \
        init-index mcp-list embeddings update-graph \
        restart-mcp bootstrap clean clean-builder help
 ## all                 : Build multi-platform image, push to registry
 all: build-multiplatform push
 ## build               : Build for the native platform and load into the local Docker daemon
 build:
-	docker build -t $(CONTAINER_NAME) .
+	docker build $(BUILD_ARGS) \
 		--tag $(FULL_IMAGE) \
 		--file $(DOCKERFILE) \
 		$(BUILD_CONTEXT)
-# Run interactive container with mounted project
+## build-multiplatform : Build for $(PLATFORMS) and export as a local OCI archive
 build-multiplatform: .builder-ready
 	docker buildx build $(BUILD_ARGS) \
 		--builder $(BUILDER) \
 		--platform $(PLATFORMS) \
 		--tag $(FULL_IMAGE) \
 		--file $(DOCKERFILE) \
 		--provenance=false \
 		--output type=oci,dest=$(OCI_ARCHIVE) \
 		$(BUILD_CONTEXT)
 # Create the buildx builder with docker-container driver (once)
 .builder-ready:
 	docker buildx inspect $(BUILDER) > /dev/null 2>&1 \
 		|| docker buildx create --name $(BUILDER) --driver docker-container --bootstrap
 	touch .builder-ready
 ## push                : Push the OCI archive to the registry using skopeo
 push: $(OCI_ARCHIVE)
 	skopeo copy \
 		--dest-tls-verify=true \
 		--multi-arch all \
 		oci-archive:$(OCI_ARCHIVE) \
 		docker://$(FULL_IMAGE)
 # Ensure the OCI archive exists before pushing
 $(OCI_ARCHIVE):
 	$(MAKE) build-multiplatform
 ## run                 : Run interactive container with mounted project
 run:
-	docker run -v $(PROJECT_DIR):$(WORKSPACE) -it --rm $(CONTAINER_NAME)
+	docker run -v $(PROJECT_DIR):$(WORKSPACE) -it --rm $(FULL_IMAGE)
-# Run container with MCP server in background
+## run-mcp             : Run container with MCP server in background
 run-mcp:
-	docker run -v $(PROJECT_DIR):$(WORKSPACE) -it --rm $(CONTAINER_NAME) bash
+	docker run -v $(PROJECT_DIR):$(WORKSPACE) -it --rm $(FULL_IMAGE) bash
-# --- MCP / Index Management ---
+## init-index          : Initialize .ai_index directory structure
 # Initialize .ai_index
 init-index:
 	@echo "[MAKE] Initializing .ai_index..."
 	mkdir -p $(PROJECT_DIR)/.ai_index/ast
@@ -31,36 +123,45 @@ init-index:
 		sqlite3 $(PROJECT_DIR)/.ai_index/graph.db "VACUUM;"; \
 	fi
-# Run MCP tool (list imports)
+## mcp-list            : Run MCP list_imports tool
 mcp-list:
 	@echo "[MAKE] Running MCP list_imports.py..."
 	python3 $(PROJECT_DIR)/opt/dev-tools/list_imports.py --project $(WORKSPACE)
-# Update embeddings (example)
+## embeddings          : Generate embeddings
 embeddings:
 	@echo "[MAKE] Generating embeddings..."
 	python3 $(PROJECT_DIR)/opt/dev-tools/generate_embeddings.py --project $(WORKSPACE)
-# Update graph (example)
+## update-graph        : Update dependency graph
 update-graph:
 	@echo "[MAKE] Updating dependency graph..."
 	python3 $(PROJECT_DIR)/opt/dev-tools/update_graph.py --project $(WORKSPACE)
-# Clean logs and temporary files
+## restart-mcp         : Restart MCP server inside running container
 clean:
 	@echo "[MAKE] Cleaning .ai_index..."
 	rm -f $(PROJECT_DIR)/.ai_index/*.log
 	rm -rf $(PROJECT_DIR)/.ai_index/ast/*
 	rm -rf $(PROJECT_DIR)/.ai_index/embeddings/*
 # Restart MCP server inside container
 restart-mcp:
 	docker exec -it $(CONTAINER_NAME) bash -c "\
 		pkill -f mcp-server; \
 		/opt/bin/mcp-server --project $(WORKSPACE) > $(MCP_LOG) 2>&1 & \
 	"
-# --- Bootstrap for new project ---
+## bootstrap           : Build container and init index
 # Build container, init index
 bootstrap: build init-index
 	@echo "[MAKE] Bootstrap complete. Run 'make run' to start the container."
 ## clean               : Remove OCI archive, local image and generated files
 clean: clean-builder
 	docker rmi --force $(FULL_IMAGE) 2>/dev/null || true
 	rm -f $(OCI_ARCHIVE)
 	rm -f $(PROJECT_DIR)/.ai_index/*.log
 	rm -rf $(PROJECT_DIR)/.ai_index/ast/*
 	rm -rf $(PROJECT_DIR)/.ai_index/embeddings/*
 ## clean-builder       : Remove the buildx builder
 clean-builder:
 	docker buildx rm $(BUILDER) 2>/dev/null || true
 	rm -f .builder-ready
 ## help                : Show this help
 help:
 	@grep -E '^## ' $(MAKEFILE_LIST) | sed 's/^## //'
--- a/README.md
+++ b/README.md
@@ -1,19 +1,133 @@
-# 🧠 PMOCrazyCoder
+# PMOCrazyCoder
-Un assistant IA **local**, pour coder en Go, Rust et R —  
+Environnement de développement conteneurisé avec assistance IA intégrée — Go, Rust, Python, TypeScript, R, Ruby — et outillage IA local (LM Studio) ou cloud (Claude Pro).
 sans cloud, sans API key, tout sur votre M3 Max.
-## 🎯 Vision
+## Vision
-> *Un indexeur de code, des graphes de dépendances, et un assistant intelligent —  
+> Un container de développement complet, multi-langages, avec LSP, outils IA et MCP intégrés,
-> intégré à Zed, 100 % local.*
+> utilisable depuis Zed, VS Code ou Cursor, avec persistance par projet.
-### 🛠️ Ce qu’on construit
+## Ce que contient l'image
- ✅ MCP tools pour Zed (ex : `get_similar_functions`, `explain_imports`)
+### Langages et compilateurs
- ✅ Indexeur de code (Go / Rust / R) via Tree-sitter
+- **Go** (dernière version stable via script)
- ✅ Graphe de dépendances & similarité (stocké localement)
+- **Rust** (stable + nightly, avec rustfmt, clippy, rust-analyzer, rust-src)
- ✅ Tout tourne en local : **LM Studio** (`localhost:1248`) + LanceDB + Rust/Python  
+- **Python 3** (avec ruff, fastmcp, ipython, tasklin)
-  *(hors conteneur — le conteneur y accède via `host.docker.internal:1248`)*
+- **Node.js / npm** (avec TypeScript, ESLint, Prettier, Pyright, typescript-language-server)
 - **Ruby** (avec github-linguist)
 - **R**
 - **Clang / LLVM** (clangd inclus)
-### 📦 Structure future (à venir)
+### Outils de développement
 - `jj` (Jujutsu VCS) + `jj-lsp`
 - `gopls`, `mcp-language-server`
 - `cargo-edit`, `cargo-watch`, `cargo-outdated`, `cargo-make`, `cargo-binstall`
 - `sqlite3`, `cmake`, `make`, `git`
 - `aichat` (client LLM CLI)
 ### Assistants IA
 - **Claude Code** (installé au `postCreateCommand`)
 - **opencode** (configuré via l'entrypoint)
 - **aichat** (configuré via l'entrypoint, connecté au LLM local)
 ## Utilisation rapide
 ### Ajouter l'environnement à un projet existant
 ```bash
 curl -fsSL https://gargoton.petite-maison-orange.fr/eric/PMOCrazycoder/raw/branch/main/setup-devcontainer.sh | bash
 ```
 Ou avec un endpoint LLM personnalisé :
 ```bash
 LOCAL_LLM_API=http://monserveur:1248/v1 bash setup-devcontainer.sh
 ```
 Le script télécharge les fichiers `devcontainer.json` et `docker-compose.yml` directement depuis le dépôt Gitea, crée les répertoires de persistance dans `.devcontainer/config/` et met à jour `.gitignore`.
 ### Ouvrir dans le container
 Ouvrir le projet dans VS Code, Zed ou Cursor et choisir "Reopen in Container". L'image est tirée automatiquement depuis le registry.
 ### Authentifier Claude Code
 Dans le panneau Claude Agent de Zed, lancer `/login` et choisir "Log in with Claude.ai" (abonnement Pro/Max).
 ## Persistance par projet
 Toutes les données et caches sont persistés dans `.devcontainer/config/` (ignoré par git) :
 | Répertoire | Contenu |
 |---|---|
 | `config/claude/` | Sessions et config Claude Code |
 | `config/opencode/` | Config opencode |
 | `config/aichat/` | Config aichat |
 | `config/ai_index/` | Index de code du projet |
 | `config/cargo-registry/` | Cache crates.io |
 | `config/cargo-git/` | Cache dépendances git Cargo |
 | `config/cargo-bin/` | Binaires Rust installés pour le projet |
 | `config/go-cache/` | Cache modules Go |
 | `config/go-bin/` | Binaires Go installés pour le projet |
 | `config/python-local/` | Paquets pip user + gems Ruby |
 | `config/npm-cache/` | Cache npm |
 | `config/r-libs/` | Paquets R installés |
 ### Installer des binaires persistants
 ```bash
 # Rust — persiste dans .devcontainer/config/cargo-bin/
 cargo install cargo-nextest
 # Go — persiste dans .devcontainer/config/go-bin/
 GOBIN=~/go/bin go install github.com/some/tool@latest
 # Python — persiste dans .devcontainer/config/python-local/
 pip install --user monpaquet
 # R — persiste dans .devcontainer/config/r-libs/
 R -e 'install.packages("tidyverse")'
 ```
 ## LLM local
 L'entrypoint configure automatiquement opencode et aichat pour pointer sur `LOCAL_LLM_API`
 (défaut : `http://host.docker.internal:1248/v1`).
 Variables d'environnement disponibles dans le container :
 | Variable | Défaut | Description |
 |---|---|---|
 | `LOCAL_LLM_API` | `http://host.docker.internal:1248/v1` | Endpoint OpenAI-compatible |
 | `LLM_MODEL` | `ollama:qwen/qwen3-coder-next@4bit` | Modèle à utiliser |
 | `TEMPERATURE` | `0.5` | Température |
 | `NUM_CTX` | `32768` | Taille de contexte |
 | `MAXTOKEN` | `4096` | Tokens max en sortie |
 ## Construire et publier l'image
 ```bash
 # Build natif (local)
 make build
 # Build multi-arch (amd64 + arm64) + push vers le registry
 make all
 # Push uniquement (si l'archive OCI existe déjà)
 make push
 # Lister toutes les targets
 make help
 ```
 L'image est publiée sur `niepce.petite-maison-orange.fr/public/pmocrazycoder:latest`.
 Le push utilise `skopeo` — assurez-vous d'être authentifié sur le registry.
 ## Sources
 - Dépôt git : `https://gargoton.petite-maison-orange.fr/eric/PMOCrazycoder`
 - Registry OCI : `niepce.petite-maison-orange.fr/public/pmocrazycoder:latest`
 ## Licence
 CECILL-2.1
--- a/bin/jj-ai-commit.sh
+++ b/bin/jj-ai-commit.sh
@@ -1,16 +1,48 @@
 #!/bin/bash
 LOCAL_LLM_API=${LOCAL_LLM_API:-http://host.docker.internal:1248/v1}
 MODEL="${LLM_MODEL:-qwen3-coder}"
-DIFF=$(jj diff)
+llm_query() {
-PROMPT='Analyse ce diff et réponds UNIQUEMENT avec un objet JSON valide contenant "title" (string) et "message" (string) pour le message de commit. Pas de texte avant ou après le JSON.'
+    local content="$1"
    jq -n --arg content "$content" --arg model "$MODEL" \
        '{"model": $model, "messages": [{"role": "user", "content": $content}]}' \
    | curl -s -X POST \
        -H "Content-Type: application/json" \
        -d @- \
        "$LOCAL_LLM_API/chat/completions" \
    | jq -r '.choices[0].message.content'
 }
-CONTENT="${PROMPT}
+# Get list of modified files
-${DIFF}"
+FILES=$(jj diff --summary | awk '{print $2}')
-REQUEST=$(jq -n --arg content "$CONTENT" '{"model": "qwen3-coder", "messages": [{"role": "user", "content": $content}]}')
+if [[ -z "$FILES" ]]; then
    echo "No changes to commit." >&2
    exit 1
 fi
-curl -s -X POST \
+# Pass 1: summarize each file diff individually
-  -H "Content-Type: application/json" \
+SUMMARIES=""
-  -d "$REQUEST" \
+while IFS= read -r file; do
-  "$LOCAL_LLM_API/chat/completions" | jq -r '.choices[0].message.content' | jq -r '.title + "\n\n" + .message'
+    FILE_DIFF=$(jj diff "$file" 2>/dev/null)
    if [[ -z "$FILE_DIFF" ]]; then
        continue
    fi
    PROMPT="Résume en 2-3 phrases les changements apportés dans ce diff pour le fichier '$file'. Sois concis et factuel.
 $FILE_DIFF"
    SUMMARY=$(llm_query "$PROMPT")
    SUMMARIES="${SUMMARIES}### $file
 $SUMMARY
 "
 done <<< "$FILES"
 # Pass 2: generate commit message from summaries
 COMMIT_PROMPT="À partir des résumés suivants de fichiers modifiés, génère un message de commit git.
 Réponds UNIQUEMENT avec un objet JSON valide contenant \"title\" (string, max 72 chars, en anglais, style imperative) et \"message\" (string, détails en français). Pas de texte avant ou après le JSON.
 $SUMMARIES"
 llm_query "$COMMIT_PROMPT" | jq -r '.title + "\n\n" + .message'
--- a/docker-entrypoint.sh
+++ b/docker-entrypoint.sh
@@ -6,7 +6,7 @@ export USERNAME=${USERNAME:-devuser}
 export WORKSPACE=${WORKSPACE:-/workspace}
 export LOCAL_LLM_API=${LOCAL_LLM_API:-http://host.docker.internal:1248/v1}
 export LLM_MODEL=${LLM_MODEL:-'ollama:qwen/qwen3-coder-next@4bit'}
-export ORLA_OLLAMA_HOST=$(sed -E 's@(https?://[^/]+).*$@\1@' <<< $LOCAL_LLM_API)
+export AICHAT_API_BASE=$(sed -E 's@(https?://[^/]+).*$@\1@' <<< $LOCAL_LLM_API)
 export MAXTOKEN=${MAXTOKEN:-4096}
 export NUM_CTX=${NUM_CTX:-32768}
 export REPEAT_PENALTY=${REPEAT_PENALTY:-1.3}
@@ -26,10 +26,28 @@ fi
 if [ -n "$LOCAL_LLM_API" ]; then
    if ! grep -q "LOCAL_LLM_API" /home/${USERNAME}/.bashrc; then
        echo "export LOCAL_LLM_API=$LOCAL_LLM_API" >> /home/${USERNAME}/.bashrc
-        echo "export ORLA_OLLAMA_HOST=$ORLA_OLLAMA_HOST" >> /home/${USERNAME}/.bashrc
+        echo "export AICHAT_API_BASE=$AICHAT_API_BASE" >> /home/${USERNAME}/.bashrc
-        echo "export ORLA_MODEL='${LLM_MODEL}'" >> /home/${USERNAME}/.bashrc
+        echo "export PATH=\$HOME/.cargo/bin:\$HOME/go/bin:\$HOME/.local/bin:\$PATH" >> /home/${USERNAME}/.bashrc
    fi
    # --- Configure aichat ---
    mkdir -p /home/${USERNAME}/.config/aichat
    AICHAT_CONFIG=/home/${USERNAME}/.config/aichat/config.yaml
    cat > $AICHAT_CONFIG <<EOF
 model: lmstudio:${LLM_MODEL#*:}
 clients:
  - type: openai-compatible
    name: lmstudio
    api_base: ${LOCAL_LLM_API}
    api_key: placeholder
    models:
      - name: ${LLM_MODEL#*:}
        max_input_tokens: ${NUM_CTX}
 temperature: ${TEMPERATURE}
 top_p: ${TOP_P}
 EOF
    chown ${USERNAME}:${USERNAME} ${AICHAT_CONFIG}
    mkdir -p /home/${USERNAME}/.config/opencode
    CONFIG_FILE=/home/${USERNAME}/.config/opencode/opencode.json
--- a/setup-devcontainer.sh
+++ b/setup-devcontainer.sh
@@ -0,0 +1,99 @@
 #!/usr/bin/env bash
 # setup-devcontainer.sh
 #
 # Adds the PMOCrazyCoder devcontainer environment to any project.
 # Usage: bash setup-devcontainer.sh [project-dir]
 #
 # Example (run from the project root):
 #   bash setup-devcontainer.sh
 #
 # Or download and run directly:
 #   curl -fsSL https://gargoton.petite-maison-orange.fr/eric/PMOCrazycoder/raw/branch/main/setup-devcontainer.sh | bash
 set -euo pipefail
 PROJECT_DIR="${1:-$(pwd)}"
 DEVCONTAINER_DIR="$PROJECT_DIR/.devcontainer"
 LOCAL_LLM_API="${LOCAL_LLM_API:-http://host.docker.internal:1248/v1}"
 GIT_RAW="https://gargoton.petite-maison-orange.fr/eric/PMOCrazycoder/raw/branch/main"
 # --- Colors ---
 RED='\033[0;31m'; GREEN='\033[0;32m'; YELLOW='\033[1;33m'; RESET='\033[0m'
 info()    { echo -e "${GREEN}[setup]${RESET} $*"; }
 warning() { echo -e "${YELLOW}[setup]${RESET} $*"; }
 error()   { echo -e "${RED}[setup]${RESET} $*" >&2; exit 1; }
 fetch() {
    local src="$1" dst="$2"
    curl -fsSL "$GIT_RAW/$src" -o "$dst" \
        || error "Failed to fetch $src from $GIT_RAW"
 }
 # --- Checks ---
 [[ -d "$PROJECT_DIR" ]] || error "Directory not found: $PROJECT_DIR"
 command -v curl >/dev/null || error "curl is required"
 # --- .devcontainer/ ---
 info "Creating .devcontainer structure in $PROJECT_DIR"
 mkdir -p "$DEVCONTAINER_DIR/config/claude"
 mkdir -p "$DEVCONTAINER_DIR/config/opencode"
 mkdir -p "$DEVCONTAINER_DIR/config/aichat"
 mkdir -p "$DEVCONTAINER_DIR/config/ai_index"
 mkdir -p "$DEVCONTAINER_DIR/config/cargo-registry"
 mkdir -p "$DEVCONTAINER_DIR/config/cargo-git"
 mkdir -p "$DEVCONTAINER_DIR/config/cargo-bin"
 mkdir -p "$DEVCONTAINER_DIR/config/go-cache"
 mkdir -p "$DEVCONTAINER_DIR/config/go-bin"
 mkdir -p "$DEVCONTAINER_DIR/config/python-local"
 mkdir -p "$DEVCONTAINER_DIR/config/npm-cache"
 mkdir -p "$DEVCONTAINER_DIR/config/r-libs"
 # --- devcontainer.json ---
 DEVCONTAINER_JSON="$DEVCONTAINER_DIR/devcontainer.json"
 if [[ -f "$DEVCONTAINER_JSON" ]]; then
    warning "devcontainer.json already exists, skipping"
 else
    fetch ".devcontainer/devcontainer.json" "$DEVCONTAINER_JSON"
    # Rename the service name to match the project
    sed -i.bak "s/\"name\": \"PMOCrazyCoder\"/\"name\": \"$(basename "$PROJECT_DIR")\"/" "$DEVCONTAINER_JSON"
    rm -f "$DEVCONTAINER_JSON.bak"
    info "Created devcontainer.json"
 fi
 # --- docker-compose.yml ---
 COMPOSE_FILE="$DEVCONTAINER_DIR/docker-compose.yml"
 if [[ -f "$COMPOSE_FILE" ]]; then
    warning "docker-compose.yml already exists, skipping"
 else
    fetch ".devcontainer/docker-compose.yml" "$COMPOSE_FILE"
    # Patch LOCAL_LLM_API if overridden
    if [[ "$LOCAL_LLM_API" != "http://host.docker.internal:1248/v1" ]]; then
        sed -i.bak "s|http://host.docker.internal:1248/v1|${LOCAL_LLM_API}|g" "$COMPOSE_FILE"
        rm -f "$COMPOSE_FILE.bak"
    fi
    info "Created docker-compose.yml"
 fi
 # --- .gitignore ---
 GITIGNORE="$PROJECT_DIR/.gitignore"
 if [[ -f "$GITIGNORE" ]]; then
    if grep -q "\.devcontainer/config/" "$GITIGNORE"; then
        warning ".gitignore already contains .devcontainer/config/, skipping"
    else
        printf '\n# PMOCrazyCoder devcontainer runtime config\n.devcontainer/config/\n' >> "$GITIGNORE"
        info "Updated .gitignore"
    fi
 else
    printf '# PMOCrazyCoder devcontainer runtime config\n.devcontainer/config/\n' > "$GITIGNORE"
    info "Created .gitignore"
 fi
 echo
 info "Done. Next steps:"
 echo "  1. Open the project in VS Code / Zed / Cursor"
 echo "  2. Reopen in container (the image will be pulled from the registry)"
 echo "  3. Run /login in the Claude Agent panel to authenticate"
 echo
 info "To use a different local LLM API endpoint:"
 echo "  LOCAL_LLM_API=http://myserver:1248/v1 bash setup-devcontainer.sh"
--- a/src/crazy_mcp/tools/init.py
+++ b/src/crazy_mcp/tools/init.py
@@ -1,2 +1 @@
 from .jj import *
 from .sandbox import *
--- a/src/crazy_mcp/tools/jj.py
+++ b/src/crazy_mcp/tools/jj.py
@@ -1,10 +1,9 @@
 from crazy_mcp import Context, mcp
-from jujutsu import jj_log
+from jujutsu import jj_log, jj_new
 from sandbox import get_active_project, get_project_path
@mcp.tool(description="Get the commit history for a project")
-def jj_log_tool(project_name: str | None = None, ctx: Context = None) -> dict:
+def jj_log_tool(project_name: str | None = None, ctx: Context | None = None) -> dict:
    """
    Get the commit history for a project.
@@ -15,19 +14,70 @@ def jj_log_tool(project_name: str | None = None, ctx: Context = None) -> dict:
    Returns:
        dict: The commit history as JSON structure
    """
    # If no project name is provided, try to get the active project
    if project_name is None:
        if ctx is None:
            raise ValueError("ctx is required when project_name is None")
-        project_info = get_active_project(ctx.session_id)
+        project_info = ctx.get_state("active_project")
        if project_info is None:
            raise ValueError("No active project set and no project name provided")
-        project_path = project_info[1]
+        project_path = project_info[1] if isinstance(project_info, tuple) else None
    else:
        project_path = get_project_path(project_name)
        if project_path is None:
-            raise ValueError(f"Project '{project_name}' not found")
+            raise ValueError("No project path found in active project")
    else:
        sandbox_root = "/sandbox"
        project_path = f"{sandbox_root}/{project_name}"
    # Call the jj_log function from jujutsu module
    return jj_log(project_path)
@mcp.tool(description="Create a new commit with AI-generated description")
 def jj_new_tool(
    project_name: str | None = None,
    revisions: list[str] | None = None,
    message: str | None = None,
    no_edit: bool = False,
    insert_after: str | None = None,
    insert_before: str | None = None,
    options: list[str] | None = None,
    ctx: Context | None = None,
 ) -> str:
    """
    Create a new commit after documenting the current change with AI.
    Args:
        project_name (str, optional): The name of the project. If None, uses the active project.
        revisions (list[str], optional): List of parent revisions (default: [@])
        message (str, optional): The change description to use
        no_edit (bool): Do not edit the newly created change
        insert_after (str, optional): Insert the new change after the given commit(s)
        insert_before (str, optional): Insert the new change before the given commit(s)
        options (list[str], optional): List of additional options
        ctx (Context, optional): The MCP context object containing session information
    Returns:
        str: Output of jj new command
    """
    if project_name is None:
        if ctx is None:
            raise ValueError("ctx is required when project_name is None")
        project_info = ctx.get_state("active_project")
        if project_info is None:
            raise ValueError("No active project set and no project name provided")
        project_path = project_info[1] if isinstance(project_info, tuple) else None
        if project_path is None:
            raise ValueError("No project path found in active project")
    else:
        sandbox_root = "/sandbox"
        project_path = f"{sandbox_root}/{project_name}"
    return jj_new(
        revisions=revisions,
        message=message,
        no_edit=no_edit,
        insert_after=insert_after,
        insert_before=insert_before,
        options=options,
        working_dir=project_path,
    )
--- a/src/crazy_mcp/tools/sandbox.py
+++ b/src/crazy_mcp/tools/sandbox.py
@@ -1,89 +0,0 @@
 from crazy_mcp import Context, mcp
 from sandbox import (
    get_active_project,
    install_project,
    remove_project,
    sandboxed_project_list,
    set_active_project,
 )
@mcp.tool(
    description="Clone a Git repository into the sandbox. Note: Access to the cloned project is only possible through MCP tools of this server. WARNING: This operation creates a sandboxed environment that prevents direct filesystem access to the project contents. Any attempt to access project files outside of the MCP tools will be blocked by security restrictions."
 )
 def install_project_tool(url: str, project_name: str = None) -> str:
    """
    Install a Git project into the sandbox environment.
    Args:
        url: The Git repository URL to clone
        project_name: Optional project name (if None, derived from URL)
    Returns:
        str: Confirmation message with project name
    """
    project_name = install_project(url, project_name)
    return f"Project '{project_name}' installed successfully in sandbox"
@mcp.tool(
    description="Remove a project from the sandbox. Note: Access to the cloned project is only possible through MCP tools of this server. WARNING: This operation removes the entire project sandboxed environment and all associated security restrictions will be enforced."
 )
 def remove_project_tool(project_name: str) -> str:
    """
    Remove a project from the sandbox environment.
    Args:
        project_name (str): The name of the project to remove
    Returns:
        str: Confirmation message with project name
    """
    success = remove_project(project_name)
    if success:
        return f"Project '{project_name}' removed successfully from sandbox"
    else:
        return f"Failed to remove project '{project_name}' from sandbox"
@mcp.tool(
    description="List all projects available in the sandbox. Note: Direct filesystem access to project contents is forbidden. All project interactions must be done through MCP tools."
 )
 def list_sandboxed_projects() -> list:
    """
    Get a list of all projects available in the sandbox.
    Returns:
        list: A list of project names
    """
    return sandboxed_project_list()
@mcp.tool(description="Set the active project for a given session ID")
 def set_active_project_tool(project_name: str, ctx: Context) -> bool:
    """
    Set the active project for a given session ID.
    Args:
        project_name (str): The name of the project to set as active
        ctx (Context): The MCP context object containing session information
    Returns:
        bool: True if successful, False if the project doesn't exist
    """
    return set_active_project(ctx.session_id, project_name)
@mcp.tool(description="Get the active project for a given session ID")
 def get_active_project_tool(ctx: Context) -> tuple[str, str] | None:
    """
    Get the active project for a given session ID.
    Args:
        ctx (Context): The MCP context object containing session information
    Returns:
        tuple: (project_name, project_path) if session exists, None otherwise
    """
    project_info = get_active_project(ctx.session_id)
    return project_info
--- a/src/json_extract/init.py
+++ b/src/json_extract/init.py
@@ -1,8 +1,8 @@
 import json
 import os
 import urllib.request
 import urllib.error
-from typing import Dict, List, Optional
+import urllib.request
 from typing import Dict
 def structure_to_json(text: str, schema: Dict) -> Dict:
@@ -17,7 +17,9 @@ def structure_to_json(text: str, schema: Dict) -> Dict:
        dict: The parsed JSON object
    """
    # Get the API URL from environment variable
-    local_llm_api = os.environ.get("LOCAL_LLM_API", "http://host.docker.internal:1248/v1")
+    local_llm_api = os.environ.get(
        "LOCAL_LLM_API", "http://host.docker.internal:1248/v1"
    )
    # Format the schema as JSON string
    schema_json = json.dumps(schema, indent=2)
@@ -34,9 +36,7 @@ Schema:
    # Build the request body
    request_body = {
        "model": "qwen3-coder",
-        "messages": [
+        "messages": [{"role": "user", "content": prompt_text}],
            {"role": "user", "content": prompt_text}
        ]
    }
    # Build the URL
@@ -45,10 +45,7 @@ Schema:
    # Create the request
    data = json.dumps(request_body).encode("utf-8")
    req = urllib.request.Request(
-        url,
+        url, data=data, headers={"Content-Type": "application/json"}, method="POST"
        data=data,
        headers={"Content-Type": "application/json"},
        method="POST"
    )
    try:
@@ -73,4 +70,7 @@ Schema:
        # Parse the JSON content
        return json.loads(clean_content)
    except (json.JSONDecodeError, KeyError, IndexError) as e:
-        return {"error": f"Failed to parse JSON: {e}", "raw_response": json.dumps(result)}
+        return {
            "error": f"Failed to parse JSON: {e}",
            "raw_response": json.dumps(result),
        }
--- a/src/json_extract/test_json_extract.py
+++ b/src/json_extract/test_json_extract.py
@@ -1,8 +1,8 @@
 import unittest
 from unittest.mock import patch, MagicMock
 import json
 import os
 import sys
 import unittest
 from unittest.mock import MagicMock, patch
 sys.path.insert(0, "/workspace/src")
--- a/src/jujutsu/init.py
+++ b/src/jujutsu/init.py
@@ -1,10 +1,8 @@
 import os
 import shlex
 from typing import Optional
 from json_extract import structure_to_json
 from jujutsu.command import jj_log as jj_log_command
 from jujutsu.command import jj_diff
 from jujutsu.command import jj_log as jj_log_command
 from jujutsu.command import jj_new as jj_new_command
 from .command import jj
--- a/src/jujutsu/command.py
+++ b/src/jujutsu/command.py
@@ -1,4 +1,3 @@
 import json
 import os
 import subprocess
 from typing import List, Optional
		`@@ -0,0 +1 @@`
							`{"claudeAiOauth":{"accessToken":"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","refreshToken":"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","expiresAt":1773262609887,"scopes":["user:inference","user:mcp_servers","user:profile","user:sessions:claude_code"],"subscriptionType":"pro","rateLimitTier":"default_claude_ai"}}`
`@@ -1,2 +1 @@`
	`from .jj import *`	`from .jj import *`
	`from .sandbox import *`