Update README.MD and add nano-claude-code v3.0 + original-source-code/src
- README.MD: add original-source-code and nano-claude-code sections, update overview table (4 subprojects), add v3.0 news entry, expand comparison table with memory/multi-agent/skills dimensions - nano-claude-code v3.0: multi-agent package (multi_agent/), memory package (memory/), skill package (skill/) with built-in /commit and /review skills, context compression (compaction.py), tool registry plugin system, diff view, 17 slash commands, 18 built-in tools, 101 tests (~5000 lines total) - original-source-code/src: add raw TypeScript source tree (1884 files) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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chauncygu
@@ -29,6 +29,7 @@ PROVIDERS: dict[str, dict] = {
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"anthropic": {
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"type": "anthropic",
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"api_key_env": "ANTHROPIC_API_KEY",
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"context_limit": 200000,
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"models": [
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"claude-opus-4-6", "claude-sonnet-4-6", "claude-haiku-4-5-20251001",
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"claude-opus-4-5", "claude-sonnet-4-5",
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@@ -39,6 +40,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "OPENAI_API_KEY",
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"base_url": "https://api.openai.com/v1",
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"context_limit": 128000,
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"models": [
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"gpt-4o", "gpt-4o-mini", "gpt-4-turbo",
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"o3-mini", "o1", "o1-mini",
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@@ -48,6 +50,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "GEMINI_API_KEY",
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"base_url": "https://generativelanguage.googleapis.com/v1beta/openai/",
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"context_limit": 1000000,
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"models": [
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"gemini-2.5-pro-preview-03-25",
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"gemini-2.0-flash", "gemini-2.0-flash-lite",
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@@ -58,6 +61,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "MOONSHOT_API_KEY",
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"base_url": "https://api.moonshot.cn/v1",
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"context_limit": 128000,
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"models": [
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"moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
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"kimi-latest",
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@@ -67,6 +71,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "DASHSCOPE_API_KEY",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"context_limit": 1000000,
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"models": [
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"qwen-max", "qwen-plus", "qwen-turbo", "qwen-long",
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"qwen2.5-72b-instruct", "qwen2.5-coder-32b-instruct",
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@@ -77,6 +82,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "ZHIPU_API_KEY",
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"base_url": "https://open.bigmodel.cn/api/paas/v4/",
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"context_limit": 128000,
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"models": [
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"glm-4-plus", "glm-4", "glm-4-flash", "glm-4-air",
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"glm-z1-flash",
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@@ -86,6 +92,7 @@ PROVIDERS: dict[str, dict] = {
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"type": "openai",
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"api_key_env": "DEEPSEEK_API_KEY",
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"base_url": "https://api.deepseek.com/v1",
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"context_limit": 64000,
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"models": [
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"deepseek-chat", "deepseek-coder", "deepseek-reasoner",
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],
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@@ -95,6 +102,7 @@ PROVIDERS: dict[str, dict] = {
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"api_key_env": None,
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"base_url": "http://localhost:11434/v1",
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"api_key": "ollama",
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"context_limit": 128000,
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"models": [
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"llama3.3", "llama3.2", "phi4", "mistral", "mixtral",
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"qwen2.5-coder", "deepseek-r1", "gemma3",
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@@ -105,12 +113,14 @@ PROVIDERS: dict[str, dict] = {
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"api_key_env": None,
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"base_url": "http://localhost:1234/v1",
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"api_key": "lm-studio",
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"context_limit": 128000,
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"models": [], # dynamic, depends on loaded model
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},
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"custom": {
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"type": "openai",
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"api_key_env": "CUSTOM_API_KEY",
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"base_url": None, # read from config["custom_base_url"]
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"context_limit": 128000,
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"models": [],
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},
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}
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@@ -277,8 +287,9 @@ def messages_to_openai(messages: list) -> list:
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msg: dict = {"role": "assistant", "content": m.get("content") or None}
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tcs = m.get("tool_calls", [])
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if tcs:
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msg["tool_calls"] = [
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{
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msg["tool_calls"] = []
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for tc in tcs:
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tc_msg = {
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"id": tc["id"],
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"type": "function",
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"function": {
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@@ -286,8 +297,10 @@ def messages_to_openai(messages: list) -> list:
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"arguments": json.dumps(tc["input"], ensure_ascii=False),
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},
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}
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for tc in tcs
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]
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# Pass through provider-specific fields (e.g. Gemini thought_signature)
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if tc.get("extra_content"):
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tc_msg["extra_content"] = tc["extra_content"]
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msg["tool_calls"].append(tc_msg)
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result.append(msg)
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elif role == "tool":
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@@ -425,7 +438,7 @@ def stream_openai_compat(
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for tc in delta.tool_calls:
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idx = tc.index
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if idx not in tool_buf:
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tool_buf[idx] = {"id": "", "name": "", "args": ""}
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tool_buf[idx] = {"id": "", "name": "", "args": "", "extra_content": None}
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if tc.id:
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tool_buf[idx]["id"] = tc.id
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if tc.function:
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@@ -433,6 +446,10 @@ def stream_openai_compat(
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tool_buf[idx]["name"] += tc.function.name
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if tc.function.arguments:
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tool_buf[idx]["args"] += tc.function.arguments
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# Capture extra_content (e.g. Gemini thought_signature)
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extra = getattr(tc, "extra_content", None)
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if extra:
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tool_buf[idx]["extra_content"] = extra
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# Some providers include usage in the last chunk
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if hasattr(chunk, "usage") and chunk.usage:
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@@ -446,7 +463,10 @@ def stream_openai_compat(
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inp = json.loads(v["args"]) if v["args"] else {}
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except json.JSONDecodeError:
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inp = {"_raw": v["args"]}
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tool_calls.append({"id": v["id"] or f"call_{idx}", "name": v["name"], "input": inp})
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tc_entry = {"id": v["id"] or f"call_{idx}", "name": v["name"], "input": inp}
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if v.get("extra_content"):
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tc_entry["extra_content"] = v["extra_content"]
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tool_calls.append(tc_entry)
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yield AssistantTurn(text, tool_calls, in_tok, out_tok)
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