deepseek-chat 0.1.1

Thin DeepSeek Chat wrapper with Mongo-backed conversation tree.

🛰️ deepseek-chat-sdk

A thin, battle-tested Python wrapper around the DeepSeek /chat/completions API
with built-in conversation-tree persistence.

• Drop-in call style – mirrors openai-python (messages=[…])
• Two storage back-ends
  MongoDB (default) or ultra-light JSON file – same API, switch in one flag
• Tree-structured memory – each reply is a node; fork, branch & query whole tree
• Token-budget guard – automatic context trimming (or raise)
• 100 % sync code – keep dependencies minimal, trivially pluggable into any code-base

pip install deepseek_chat          # from PyPI (or pip install -e .)
export DEEPSEEK_API_KEY=sk-...

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⭐ Quick Start

from deepseek_chat import create_session, continue_chat, get_tree

# --- root turn --------------------------------------------------------
answer, sess_id, root_id = create_session(
    system_prompt="你好，我是助手。",
    question="帮我推荐一部电影。",
    api_key="sk-...",                     # or rely on $DEEPSEEK_API_KEY
)
print(answer)

# --- branch off the same parent --------------------------------------
continue_chat(session_id=sess_id, parent_node_id=root_id,
              question="有没有同类型但评分更高的？")

# --- show the whole tree --------------------------------------------
print(get_tree(sess_id))

Switch to local file storage (no Mongo)

answer, sid, nid = create_session(
    system_prompt="你好！",
    question="今天杭州天气如何？",
    api_key="sk-...",
    store_backend="file",              # ← key flag
    json_path="./history.json",        # optional; default ~/.deepseek_chat/history.json
)

Custom Mongo URI (user/pass, replica set …)

import os
os.environ["DEEPSEEK_API_KEY"] = "sk-..."
answer, sid, nid = create_session(
    system_prompt="You are helpful.",
    question="Tell me a joke.",
    mongo_uri="mongodb://dbUser:dbPwd@mongo-1:27017,mongo-2:27017/?replicaSet=rs0",
)

---

🔧 Installation

# bare minimum
pip install deepseek_chat

# dev / tests / ruff
pip install "deepseek_chat"
pytest -q

Dependency	Used for	Optional?
requests	REST calls	❌
pymongo	Mongo back-end	✅ (not imported if you choose file)
tiktoken	token counting	✅ (falls back to word count)

---

🗺️ API Surface

Functional helpers (one-liners)

function	returns	must pass
create_session(system_prompt, question, …)	(answer, session_id, node_id)	system_prompt, question
continue_chat(session_id, parent_node_id, question, …)	(answer, new_node_id)	session_id, parent_node_id, question
get_tree(session_id, …)	nested dict	session_id

All take the same optional kwargs:

api_key        DeepSeek API key (fallback $DEEPSEEK_API_KEY)
base_url       custom gateway (fallback $DEEPSEEK_BASE_URL)
model          deepseek-chat / deepseek-coder / …
store_backend  "mongo" | "file"   (default "mongo")
mongo_uri      mongodb connection string
json_path      path for file store

Class-level control

Need multiple clients or stores side-by-side? Use the OOP facade:

from deepseek_chat import ChatService, DeepSeekClient, FileStore

svc = ChatService(
    client=DeepSeekClient(api_key="sk-..."),
    store=FileStore("/tmp/ds_history.json"),
)

ans, sid, nid = svc.create_session(
    system_prompt="You are GPT-5",
    question="What's new in 2025?",
)

---

⚙️ Configuration matrix

config source	DeepSeek	Mongo	File
ENV var (default singleton)	DEEPSEEK_API_KEY DEEPSEEK_BASE_URL	MONGO_URI MONGO_DB	—
per-call kwargs	api_key= base_url=	mongo_uri=	json_path=
programmatic	build your own DeepSeekClient + ChatStore/FileStore and pass into ChatService

---

📚 Advanced features

JSON Output & Function Calling

Simply forward the native OpenAI-style params:

client = DeepSeekClient(api_key="sk-...")

resp = client.chat(
    messages=[...],
    response_format={"type": "json_object"},
)

resp_tool = client.chat(
    messages=[...],
    tools=[{ "type": "function", "function": {...} }],
)

The higher-level helpers (create_session/continue_chat) accept any extra kwargs and pass them straight to DeepSeekClient.chat().

Token-budget enforcement

ensure_token_budget() truncates eldest user/assistant pairs once total tokens exceed the limit (default 32 k). Raise TokenLimitExceeded if only the system prompt already exceeds the model context.

Set a custom limit:

export TOKEN_LIMIT=16000

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🛠️ Project layout

deepseek_chat/
├── client.py        # DeepSeek REST wrapper
├── service.py       # high-level orchestration
├── store.py         # Mongo persistence
├── filestore.py     # JSON persistence
├── utils.py         # token helpers
└── __init__.py      # facade + functional helpers

Unit tests live under tests/, demo scripts under examples/.

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🪄 Roadmap

• async variant (httpx.AsyncClient, motor)
• automatic summarisation for ultra-long histories
• plug-in hooks (on_new_message, on_error)

Contributions welcome – just open an issue or PR.

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