add file cache

config.toml

@@ -14,6 +14,7 @@ paths = [
     "MainContext.md",
     "C:/projects/manual_slop/shell_runner.py",
     "C:/projects/manual_slop/session_logger.py",
+    "C:/projects/manual_slop/docs/anthropic_api_files.md",
 ]
 
 [screenshots]
@@ -22,12 +23,9 @@ paths = []
 
 [discussion]
 history = [
-    "[User]\nAdd rich visualization for the comms history's json, we shouldn't see the raw text unelss we don't have the json object type detected. Also update MainContext.md with latest state of this codebase.",
-    "[Claude]\nThe file uses CRLF. I'll use a Python script to do the targeted replacement reliably:",
-    "[API]\nERROR: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'prompt is too long: 201675 tokens > 200000 maximum'}, 'request_id': 'req_011CYMuPtmZC7akLfcaT7b7r'}",
-    "[User]\nA _patch_gui.py was left over as an artifact. You were in the middle of making edits before a error reponse occured.\nTo save space on the message I removed the prompt caching documentation from the context.\nWe may have to change how messages are sent or discussion so that its chunked appropriately.",
-    "[Claude]\n`gui.py` is complete with all the rich rendering code. Now let me delete the artifact and update `MainContext.md`:",
-    "[User]\nartifact deleted MainContext.md has not been updated though. (Removed anthropic documetantion from context, if you want any docs back you can look up docs in ./docs)",
+    "[User]\nAdd support for properly handling files that we have in config with anthropics api (your context will have documentation reguarding it). This will allow us to free up the main markdown file were sending as a message.\nWe also want to make sure the messaging of that giant markdown is chunked as anthropic does have an upper limit per messages.",
+    "[Claude]\nGood. Now the big rewrite of `ai_client.py`. The strategy:\n\n- Add a new `_send_anthropic_files` path that uses `file_cache.get_file_id()` to upload files individually as `document`/`image` content blocks, keeping the context message lean\n- The fallback (and also for oversized content) uses chunked text blocks — split the markdown into ≤180k-char chunks (well under the ~200k token limit with headroom for overhead), each sent as a separate `text` content block with `cache_control` on the last one\n- `send()` now accepts an optional `file_items` parameter from aggregate\n- `reset_session()` also resets the file_cache client",
+    "[User]\nI will check if this works now....",
 ]
 
 [ai]