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v0.2.17 : accès internet (Crawl4AI) + 3 modes de mémoire
- accès web de l'IA via un serveur Crawl4AI configurable (outils
web_search / web_open / web_read / web_grep), réglage CRAWL4AI_URL +
toggle, actifs seulement si le mode agent et le serveur sont joignables.
CLI `jean internet [on|off|status|url <url>]`.
- mémoire réglable en 3 modes indépendants du mode agent : off / sur
demande / auto (proactive). CLI `jean memory [off|ondemand|always|status]`.
- fix : prompt et outils gouvernés par la même condition (plus de
web_search tapé en bash quand le crawl est injoignable) ; consigne
année de recherche durcie ; icône 🌐 des outils web dans l'UI.
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@@ -7,6 +7,7 @@ import (
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"os/exec"
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"os/user"
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"runtime"
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"strconv"
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"strings"
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"time"
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)
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@@ -24,10 +25,12 @@ const (
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// The per-tool "Outil disponible" sections live in machine/skills prompts so
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// they only appear when the matching feature is on.
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func baseSystemPrompt(caps Caps) string {
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// No tool access → no agentic preamble. A plain chat model told to "call
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// tools immediately" hallucinates textual tool calls (e.g. default_api:bash)
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// that leak into the answer. Let the user's own system prompt stand alone.
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if !caps.Agent {
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hasMem := caps.Mem != MemOff
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// No tool access at all → no agentic preamble. A plain chat model told to
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// "call tools immediately" hallucinates textual tool calls (e.g.
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// default_api:bash) that leak into the answer. Let the user's own system
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// prompt stand alone. (Internet requiert l'agent, donc pas testé ici.)
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if !caps.Agent && !hasMem {
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return ""
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}
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var b strings.Builder
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@@ -36,28 +39,53 @@ func baseSystemPrompt(caps Caps) string {
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// sur-raisonner les modèles à reasoning (Qwen3) : ils émettent leur <think>
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// puis le token de fin SANS appeler d'outil (~25-45 % de tours « morts »
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// mesurés). Une version courte et directe ramène ça à 0 %. NE PAS regonfler.
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b.WriteString("You are jean, an expert assistant operating directly on this machine with real tools. You evolve with every conversation: you actively maintain a persistent memory so nothing useful is lost between sessions.\n\n")
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b.WriteString("Tools:\n")
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for _, l := range []string{
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"bash — run a shell command on this machine (inspect files, processes, logs, run scripts).",
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"edit — patch a file by exact replacement (old → new, old must be unique).",
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"mem_search / mem_read / mem_add / mem_edit — your persistent Markdown memory under MEMORY/.",
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} {
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b.WriteString("- " + l + "\n")
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b.WriteString("You are jean, an expert assistant operating directly on this machine with real tools.")
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if caps.Mem == MemAlways {
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b.WriteString(" You evolve with every conversation: you actively maintain a persistent memory so nothing useful is lost between sessions.")
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}
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b.WriteString("\nManaging your memory is part of the job, not optional:\n")
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for _, l := range []string{
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"When the user tells you to remember something, or shares a preference, fact, decision, or how-to worth keeping, save it with mem_add (or mem_edit to update an existing page) — do it on your own, without being asked.",
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"Before doing any task or answering, first call mem_search to see whether your memory already holds the answer or how to do it, then mem_read the best page. Do this even when the request has new specifics like a name, a place or a value — your saved method still applies, only the parameter changes.",
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} {
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b.WriteString("- " + l + "\n")
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b.WriteString("\n\nTools:\n")
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if caps.Agent {
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b.WriteString("- bash — run a shell command on this machine (inspect files, processes, logs, run scripts).\n")
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b.WriteString("- edit — patch a file by exact replacement (old → new, old must be unique).\n")
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}
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if hasMem {
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b.WriteString("- mem_search / mem_read / mem_add / mem_edit — your persistent Markdown memory under MEMORY/.\n")
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}
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// Politique d'usage de la mémoire selon le mode.
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switch caps.Mem {
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case MemAlways:
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b.WriteString("\nManaging your memory is part of the job, not optional:\n")
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b.WriteString("- When the user tells you to remember something, or shares a preference, fact, decision, or how-to worth keeping, save it with mem_add (or mem_edit to update an existing page) — do it on your own, without being asked.\n")
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b.WriteString("- Before doing any task or answering, first call mem_search to see whether your memory already holds the answer or how to do it, then mem_read the best page. Do this even when the request has new specifics like a name, a place or a value — your saved method still applies, only the parameter changes.\n")
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case MemOnDemand:
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b.WriteString("\nMemory is ON-DEMAND: you have the mem_* tools but do NOT read or write memory on your own. Call mem_search/mem_read only when the user explicitly asks you to recall or look something up, and mem_add/mem_edit only when the user explicitly asks you to remember something. Otherwise leave memory untouched and answer directly.\n")
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}
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if caps.Agent {
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b.WriteString("\nFor anything about the system or files, use bash instead of guessing. Act immediately — call the right tool, then answer. Never end your turn after only thinking. Be concise.\n")
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if caps.Mem == MemAlways {
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b.WriteString("Before answering any question about yourself or this machine, always call mem_search first — even trivial-seeming ones. Testing with a tool never replaces this: memory may hold context the tool won't reveal. Search memory, then verify, then answer.\n")
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}
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}
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if caps.Internet {
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b.WriteString("\nWeb access (Crawl4AI): web_search (DuckDuckGo), web_open (fetch a URL → metadata + outline), web_read (read a line range of an opened URL), web_grep (regex in an opened URL). Workflow: web_open first, then web_read/web_grep.\n")
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year := time.Now().Format("2006")
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b.WriteString("Your training data is stale. For ANY question about recent/latest/current things (releases, versions, news, prices, scores, fixtures, 'since when') call web_search BEFORE writing any date or version. Your answer must match the dates/facts you actually read.\n")
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b.WriteString("SEARCH QUERY YEAR RULE: today is in " + year + ". If your query includes a year, use ONLY " + year + " — NEVER write a past year like " + prevYear(year) + " that you remember from training; it silently biases results toward stale pages. Default: put no year at all and let the freshest result win. Don't hedge ('probably', 'I think') about a fact a tool can verify — search instead.\n")
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}
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b.WriteString("\nFor anything about the system or files, use bash instead of guessing. Act immediately — call the right tool, then answer. Never end your turn after only thinking. Be concise.\n")
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b.WriteString("Before answering any question about yourself or this machine, always call mem_search first — even trivial-seeming ones. Testing with a tool never replaces this: memory may hold context the tool won't reveal. Search memory, then verify, then answer.\n")
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b.WriteString("\nDate: " + time.Now().Format("2006-01-02"))
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return b.String()
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}
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// prevYear returns the year before the given "2006"-formatted year string, used
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// to name explicitly the stale year the model must NOT put in search queries.
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func prevYear(year string) string {
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n, err := strconv.Atoi(year)
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if err != nil {
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return year
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}
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return strconv.Itoa(n - 1)
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}
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// machineSystemPrompt returns a short briefing about the host the model is
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// running on, so that when machine access is enabled it knows *which* machine
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// run_shell acts upon (and doesn't claim it has no access to "your PC").
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