updated the api schema
Browse files- .gitignore +1 -0
- agent/llm.py +2 -2
- new_api_schema.md +75 -0
.gitignore
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@@ -3,3 +3,4 @@ __pycache__/
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venv/
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*.db
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*.sqlite
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venv/
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*.db
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*.sqlite
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.env
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agent/llm.py
CHANGED
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@@ -30,7 +30,7 @@ if not HF_TOKEN:
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llm_chain: Runnable = ChatOpenAI(
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model="deepseek-chat", # Optional for HF OpenAI-compatible endpoints, but kept for clarity
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openai_api_base="https://oaitzvyxm6614ekn.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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openai_api_key=HF_TOKEN,
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temperature=0.3,
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max_tokens=8192,
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streaming=True,
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@@ -50,7 +50,7 @@ llm_chain: Runnable = ChatOpenAI(
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# llm_chain: Runnable = ChatOpenAI(
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# model="deepseek-chat", # Optional for HF OpenAI-compatible endpoints, but kept for clarity
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# openai_api_base="https://qwryad273mlndckn.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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# openai_api_key=HF_TOKEN,
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# temperature=0.3,
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# max_tokens=8192,
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# streaming=True,
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llm_chain: Runnable = ChatOpenAI(
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model="deepseek-chat", # Optional for HF OpenAI-compatible endpoints, but kept for clarity
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openai_api_base="https://oaitzvyxm6614ekn.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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openai_api_key=os.getenv("HF_TOKEN"),
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temperature=0.3,
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max_tokens=8192,
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streaming=True,
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# llm_chain: Runnable = ChatOpenAI(
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# model="deepseek-chat", # Optional for HF OpenAI-compatible endpoints, but kept for clarity
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# openai_api_base="https://qwryad273mlndckn.us-east-1.aws.endpoints.huggingface.cloud/v1/",
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# openai_api_key=os.getenv("HF_TOKEN"),
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# temperature=0.3,
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# max_tokens=8192,
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# streaming=True,
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new_api_schema.md
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# AgreeUpon API v1 Schema
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Base URL: `/api/v1`
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## Authentication `/auth`
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| Method | Path | Body | Success 200 |
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|--------|------|------|-------------|
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| POST | /auth/register | UserCreate | UserRead |
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| POST | /auth/login | UserLogin | Token |
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| POST | /auth/refresh | — | Token |
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| POST | /auth/logout | — | `{ok:true}` |
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## Conversations `/conversations`
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| Method | Path | Description | Success |
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|--------|------|-------------|---------|
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| POST | /conversations | create new conversation | Conversation |
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| GET | /conversations | list conversations (`limit,offset`) | List[Conversation] |
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| GET | /conversations/{id} | fetch single conversation | Conversation |
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| DELETE | /conversations/{id} | delete conversation | 204 |
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## Agent interaction (nested)
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| Method | Path | Body | Success |
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|--------|------|------|---------|
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| POST | /conversations/{id}/agent/message | MessageCreate | AgentReply |
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| GET | /conversations/{id}/agent/stream?prompt=… | SSE | events: reply, document, done |
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## Documents (nested)
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| Method | Path | Body | Success |
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|--------|------|------|---------|
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| GET | /conversations/{id}/document | — | Document |
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| PUT | /conversations/{id}/document | DocumentUpdate | Document |
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## Standard envelope
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```json
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{
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"data": { … }, // null on error
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"error": {
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"code": "not_found",
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"message": "Conversation not found"
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}
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}
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```
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## Core Models (Python / Pydantic)
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```python
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class UserCreate(BaseModel):
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username: constr(min_length=3, max_length=30)
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password: constr(min_length=8)
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class Token(BaseModel):
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access_token: str
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token_type: str = "bearer"
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class Conversation(BaseModel):
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id: int
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created_at: datetime
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class MessageCreate(BaseModel):
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content: constr(min_length=1, max_length=10_000)
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class AgentReply(BaseModel):
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assistant_reply: str
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document: Optional[str]
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class Document(BaseModel):
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id: int
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conversation_id: int
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doc_type: Literal["contract", "memo", "unknown"]
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content: str
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updated_at: datetime
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```
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---
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This schema is versioned, REST-ful, strongly typed, self-documenting, and prepared for expansion.
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