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| Author | SHA1 | Date | |
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| f47c92a71a |
@@ -1688,12 +1688,25 @@ fn handle_chat_agentic(body: String) -> String {
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let safe_msg: String = json_safe(message)
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let safe_sys: String = json_safe(system)
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// Vision in the agentic brain (2026-06-27): when the client attaches an image
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// (base64 in body "image", mime in "image_media_type"), send it as a real Anthropic
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// image content block on THIS user turn — so the model sees raw pixels WITH memory,
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// history, and tools (parity with the CLI). img_b64 == "" => byte-identical to before.
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let img_b64: String = json_get(body, "image")
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let img_mt_raw: String = json_get(body, "image_media_type")
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let img_mt: String = if str_eq(img_mt_raw, "") { "image/png" } else { img_mt_raw }
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let cur_user_content: String = if str_eq(img_b64, "") {
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"\"" + safe_msg + "\""
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} else {
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"[{\"type\":\"text\",\"text\":\"" + safe_msg + "\"},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"" + img_mt + "\",\"data\":\"" + img_b64 + "\"}}]"
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}
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// Seed the messages array with recent history if available, so the LLM sees the thread.
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let prior_messages: String = if agentic_hist_len > 0 {
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let inner: String = str_slice(agentic_hist, 1, str_len(agentic_hist) - 1)
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"[" + inner + ",{\"role\":\"user\",\"content\":\"" + safe_msg + "\"}]"
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"[" + inner + ",{\"role\":\"user\",\"content\":" + cur_user_content + "}]"
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} else {
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"[{\"role\":\"user\",\"content\":\"" + safe_msg + "\"}]"
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"[{\"role\":\"user\",\"content\":" + cur_user_content + "}]"
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}
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let messages: String = prior_messages
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let api_url: String = "https://api.anthropic.com/v1/messages"
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