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refactor: Add OpenAI assistants API endpoints to memgpt server (#1006)
This commit is contained in:
Sarah Wooders
GitHub
parent
326923b578
commit
9c39e8cefd
@ -45,15 +45,7 @@ Start the server with:
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poetry run uvicorn assistants:app --reload --port 8080
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"""
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interface: QueuingInterface = QueuingInterface()
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server: SyncServer = SyncServer(default_interface=interface)
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# router = APIRouter()
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app = FastAPI()
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user_id = uuid.UUID(MemGPTConfig.load().anon_clientid)
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print(f"User ID: {user_id}")
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router = APIRouter()
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class CreateAssistantRequest(BaseModel):
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@ -167,16 +159,14 @@ class SubmitToolOutputsToRunRequest(BaseModel):
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# TODO: implement mechanism for creating/authenticating users associated with a bearer token
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def setup_openai_assistant_router(server: SyncServer, interface: QueuingInterface):
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# TODO: remove this (when we have user auth)
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user_id = uuid.UUID(MemGPTConfig.load().anon_clientid)
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print(f"User ID: {user_id}")
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@app.get("/v1/health", tags=["assistant"])
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def get_health():
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return {"status": "healthy"}
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# create assistant (MemGPT agent)
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@app.post("/v1/assistants", tags=["assistants"], response_model=OpenAIAssistant)
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def create_assistant(request: CreateAssistantRequest = Body(...)):
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# create assistant (MemGPT agent)
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@router.post("/assistants", tags=["assistants"], response_model=OpenAIAssistant)
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def create_assistant(request: CreateAssistantRequest = Body(...)):
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# TODO: create preset
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return OpenAIAssistant(
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id=DEFAULT_PRESET,
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@ -190,12 +180,11 @@ def create_assistant(request: CreateAssistantRequest = Body(...)):
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metadata=request.metadata,
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)
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@app.post("/v1/assistants/{assistant_id}/files", tags=["assistants"], response_model=AssistantFile)
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def create_assistant_file(
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@router.post("/assistants/{assistant_id}/files", tags=["assistants"], response_model=AssistantFile)
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def create_assistant_file(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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request: CreateAssistantFileRequest = Body(...),
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):
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):
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# TODO: add file to assistant
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return AssistantFile(
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id=request.file_id,
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@ -203,75 +192,75 @@ def create_assistant_file(
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assistant_id=assistant_id,
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)
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@app.get("/v1/assistants", tags=["assistants"], response_model=List[OpenAIAssistant])
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def list_assistants(
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@router.get("/assistants", tags=["assistants"], response_model=List[OpenAIAssistant])
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def list_assistants(
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limit: int = Query(1000, description="How many assistants to retrieve."),
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order: str = Query("asc", description="Order of assistants to retrieve (either 'asc' or 'desc')."),
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after: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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before: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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):
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after: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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before: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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):
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# TODO: implement list assistants (i.e. list available MemGPT presets)
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/assistants/{assistant_id}/files", tags=["assistants"], response_model=List[AssistantFile])
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def list_assistant_files(
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@router.get("/assistants/{assistant_id}/files", tags=["assistants"], response_model=List[AssistantFile])
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def list_assistant_files(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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limit: int = Query(1000, description="How many files to retrieve."),
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order: str = Query("asc", description="Order of files to retrieve (either 'asc' or 'desc')."),
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after: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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before: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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):
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after: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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before: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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):
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# TODO: list attached data sources to preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/assistants/{assistant_id}", tags=["assistants"], response_model=OpenAIAssistant)
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def retrieve_assistant(
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@router.get("/assistants/{assistant_id}", tags=["assistants"], response_model=OpenAIAssistant)
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def retrieve_assistant(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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):
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):
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# TODO: get and return preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/assistants/{assistant_id}/files/{file_id}", tags=["assistants"], response_model=AssistantFile)
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def retrieve_assistant_file(
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@router.get("/assistants/{assistant_id}/files/{file_id}", tags=["assistants"], response_model=AssistantFile)
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def retrieve_assistant_file(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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file_id: str = Path(..., description="The unique identifier of the file."),
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):
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):
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# TODO: return data source attached to preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.post("/v1/assistants/{assistant_id}", tags=["assistants"], response_model=OpenAIAssistant)
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def modify_assistant(
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@router.post("/assistants/{assistant_id}", tags=["assistants"], response_model=OpenAIAssistant)
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def modify_assistant(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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request: CreateAssistantRequest = Body(...),
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):
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):
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# TODO: modify preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.delete("/v1/assistants/{assistant_id}", tags=["assistants"], response_model=DeleteAssistantResponse)
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def delete_assistant(
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@router.delete("/assistants/{assistant_id}", tags=["assistants"], response_model=DeleteAssistantResponse)
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def delete_assistant(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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):
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):
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# TODO: delete preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.delete("/v1/assistants/{assistant_id}/files/{file_id}", tags=["assistants"], response_model=DeleteAssistantFileResponse)
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def delete_assistant_file(
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@router.delete("/assistants/{assistant_id}/files/{file_id}", tags=["assistants"], response_model=DeleteAssistantFileResponse)
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def delete_assistant_file(
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assistant_id: str = Path(..., description="The unique identifier of the assistant."),
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file_id: str = Path(..., description="The unique identifier of the file."),
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):
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):
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# TODO: delete source on preset
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.post("/v1/threads", tags=["assistants"], response_model=OpenAIThread)
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def create_thread(request: CreateThreadRequest = Body(...)):
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@router.post("/threads", tags=["threads"], response_model=OpenAIThread)
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def create_thread(request: CreateThreadRequest = Body(...)):
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# TODO: use requests.description and requests.metadata fields
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# TODO: handle requests.file_ids and requests.tools
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# TODO: eventually allow request to override embedding/llm model
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@ -290,40 +279,36 @@ def create_thread(request: CreateThreadRequest = Body(...)):
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created_at=int(agent_state.created_at.timestamp()),
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)
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@app.get("/v1/threads/{thread_id}", tags=["assistants"], response_model=OpenAIThread)
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def retrieve_thread(
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@router.get("/threads/{thread_id}", tags=["threads"], response_model=OpenAIThread)
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def retrieve_thread(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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):
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):
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agent = server.get_agent(uuid.UUID(thread_id))
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return OpenAIThread(
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id=str(agent.id),
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created_at=int(agent.created_at.timestamp()),
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)
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@app.get("/v1/threads/{thread_id}", tags=["assistants"], response_model=OpenAIThread)
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def modify_thread(
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@router.get("/threads/{thread_id}", tags=["threads"], response_model=OpenAIThread)
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def modify_thread(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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request: ModifyThreadRequest = Body(...),
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):
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):
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# TODO: add agent metadata so this can be modified
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.delete("/v1/threads/{thread_id}", tags=["assistants"], response_model=DeleteThreadResponse)
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def delete_thread(
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@router.delete("/threads/{thread_id}", tags=["threads"], response_model=DeleteThreadResponse)
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def delete_thread(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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):
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):
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# TODO: delete agent
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.post("/v1/threads/{thread_id}/messages", tags=["assistants"], response_model=OpenAIMessage)
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def create_message(
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@router.post("/threads/{thread_id}/messages", tags=["messages"], response_model=OpenAIMessage)
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def create_message(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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request: CreateMessageRequest = Body(...),
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):
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):
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agent_id = uuid.UUID(thread_id)
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# create message object
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message = Message(
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@ -348,15 +333,18 @@ def create_message(
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)
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return openai_message
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@app.get("/v1/threads/{thread_id}/messages", tags=["assistants"], response_model=ListMessagesResponse)
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def list_messages(
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@router.get("/threads/{thread_id}/messages", tags=["messages"], response_model=ListMessagesResponse)
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def list_messages(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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limit: int = Query(1000, description="How many messages to retrieve."),
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order: str = Query("asc", description="Order of messages to retrieve (either 'asc' or 'desc')."),
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after: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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before: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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):
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after: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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before: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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):
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after_uuid = uuid.UUID(after) if before else None
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before_uuid = uuid.UUID(before) if before else None
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agent_id = uuid.UUID(thread_id)
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@ -389,14 +377,12 @@ def list_messages(
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# TODO: cast back to message objects
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return ListMessagesResponse(messages=openai_messages)
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router.get("/threads/{thread_id}/messages/{message_id}", tags=["messages"], response_model=OpenAIMessage)
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app.get("/v1/threads/{thread_id}/messages/{message_id}", tags=["assistants"], response_model=OpenAIMessage)
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def retrieve_message(
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def retrieve_message(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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message_id: str = Path(..., description="The unique identifier of the message."),
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):
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):
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message_id = uuid.UUID(message_id)
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agent_id = uuid.UUID(thread_id)
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message = server.get_agent_message(agent_id, message_id)
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@ -411,32 +397,29 @@ def retrieve_message(
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# metadata=message.metadata,
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)
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@app.get("/v1/threads/{thread_id}/messages/{message_id}/files/{file_id}", tags=["assistants"], response_model=MessageFile)
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def retrieve_message_file(
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@router.get("/threads/{thread_id}/messages/{message_id}/files/{file_id}", tags=["messages"], response_model=MessageFile)
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def retrieve_message_file(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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message_id: str = Path(..., description="The unique identifier of the message."),
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file_id: str = Path(..., description="The unique identifier of the file."),
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):
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):
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# TODO: implement?
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.post("/v1/threads/{thread_id}/messages/{message_id}", tags=["assistants"], response_model=OpenAIMessage)
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def modify_message(
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@router.post("/threads/{thread_id}/messages/{message_id}", tags=["messages"], response_model=OpenAIMessage)
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def modify_message(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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message_id: str = Path(..., description="The unique identifier of the message."),
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request: ModifyMessageRequest = Body(...),
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):
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):
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# TODO: add metada field to message so this can be modified
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.post("/v1/threads/{thread_id}/runs", tags=["assistants"], response_model=OpenAIRun)
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def create_run(
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@router.post("/threads/{thread_id}/runs", tags=["runs"], response_model=OpenAIRun)
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def create_run(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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request: CreateRunRequest = Body(...),
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):
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):
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# TODO: add request.instructions as a message?
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agent_id = uuid.UUID(thread_id)
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# TODO: override preset of agent with request.assistant_id
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@ -455,78 +438,80 @@ def create_run(
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instructions=request.instructions,
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)
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@app.post("/v1/threads/runs", tags=["assistants"], response_model=OpenAIRun)
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def create_thread_and_run(
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@router.post("/threads/runs", tags=["runs"], response_model=OpenAIRun)
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def create_thread_and_run(
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request: CreateThreadRunRequest = Body(...),
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):
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):
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# TODO: add a bunch of messages and execute
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/threads/{thread_id}/runs", tags=["assistants"], response_model=List[OpenAIRun])
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def list_runs(
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@router.get("/threads/{thread_id}/runs", tags=["runs"], response_model=List[OpenAIRun])
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def list_runs(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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limit: int = Query(1000, description="How many runs to retrieve."),
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order: str = Query("asc", description="Order of runs to retrieve (either 'asc' or 'desc')."),
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after: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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before: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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):
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after: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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before: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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):
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# TODO: store run information in a DB so it can be returned here
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/threads/{thread_id}/runs/{run_id}/steps", tags=["assistants"], response_model=List[OpenAIRunStep])
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def list_run_steps(
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@router.get("/threads/{thread_id}/runs/{run_id}/steps", tags=["runs"], response_model=List[OpenAIRunStep])
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def list_run_steps(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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run_id: str = Path(..., description="The unique identifier of the run."),
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limit: int = Query(1000, description="How many run steps to retrieve."),
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order: str = Query("asc", description="Order of run steps to retrieve (either 'asc' or 'desc')."),
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after: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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before: str = Query(None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."),
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):
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after: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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before: str = Query(
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None, description="A cursor for use in pagination. `after` is an object ID that defines your place in the list."
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),
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):
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# TODO: store run information in a DB so it can be returned here
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/threads/{thread_id}/runs/{run_id}", tags=["assistants"], response_model=OpenAIRun)
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def retrieve_run(
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@router.get("/threads/{thread_id}/runs/{run_id}", tags=["runs"], response_model=OpenAIRun)
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def retrieve_run(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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run_id: str = Path(..., description="The unique identifier of the run."),
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):
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):
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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@app.get("/v1/threads/{thread_id}/runs/{run_id}/steps/{step_id}", tags=["assistants"], response_model=OpenAIRunStep)
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def retrieve_run_step(
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@router.get("/threads/{thread_id}/runs/{run_id}/steps/{step_id}", tags=["runs"], response_model=OpenAIRunStep)
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def retrieve_run_step(
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thread_id: str = Path(..., description="The unique identifier of the thread."),
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run_id: str = Path(..., description="The unique identifier of the run."),
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step_id: str = Path(..., description="The unique identifier of the run step."),
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):
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):
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raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
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|
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@app.post("/v1/threads/{thread_id}/runs/{run_id}", tags=["assistants"], response_model=OpenAIRun)
|
||||
def modify_run(
|
||||
@router.post("/threads/{thread_id}/runs/{run_id}", tags=["runs"], response_model=OpenAIRun)
|
||||
def modify_run(
|
||||
thread_id: str = Path(..., description="The unique identifier of the thread."),
|
||||
run_id: str = Path(..., description="The unique identifier of the run."),
|
||||
request: ModifyRunRequest = Body(...),
|
||||
):
|
||||
):
|
||||
raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
|
||||
|
||||
|
||||
@app.post("/v1/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", tags=["assistants"], response_model=OpenAIRun)
|
||||
def submit_tool_outputs_to_run(
|
||||
@router.post("/threads/{thread_id}/runs/{run_id}/submit_tool_outputs", tags=["runs"], response_model=OpenAIRun)
|
||||
def submit_tool_outputs_to_run(
|
||||
thread_id: str = Path(..., description="The unique identifier of the thread."),
|
||||
run_id: str = Path(..., description="The unique identifier of the run."),
|
||||
request: SubmitToolOutputsToRunRequest = Body(...),
|
||||
):
|
||||
):
|
||||
raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
|
||||
|
||||
|
||||
@app.post("/v1/threads/{thread_id}/runs/{run_id}/cancel", tags=["assistants"], response_model=OpenAIRun)
|
||||
def cancel_run(
|
||||
@router.post("/threads/{thread_id}/runs/{run_id}/cancel", tags=["runs"], response_model=OpenAIRun)
|
||||
def cancel_run(
|
||||
thread_id: str = Path(..., description="The unique identifier of the thread."),
|
||||
run_id: str = Path(..., description="The unique identifier of the run."),
|
||||
):
|
||||
):
|
||||
raise HTTPException(status_code=404, detail="Not yet implemented (coming soon)")
|
||||
|
||||
return router
|
||||
|
||||
@ -16,6 +16,7 @@ from memgpt.server.rest_api.config.index import setup_config_index_router
|
||||
from memgpt.server.rest_api.humans.index import setup_humans_index_router
|
||||
from memgpt.server.rest_api.personas.index import setup_personas_index_router
|
||||
from memgpt.server.rest_api.models.index import setup_models_index_router
|
||||
from memgpt.server.rest_api.openai_assistants.assistants import setup_openai_assistant_router
|
||||
from memgpt.server.server import SyncServer
|
||||
from memgpt.server.rest_api.interface import QueuingInterface
|
||||
from memgpt.server.rest_api.static_files import mount_static_files
|
||||
@ -33,6 +34,7 @@ server: SyncServer = SyncServer(default_interface=interface)
|
||||
|
||||
|
||||
API_PREFIX = "/api"
|
||||
OPENAI_API_PREFIX = "/v1"
|
||||
|
||||
CORS_ORIGINS = [
|
||||
"http://localhost:4200",
|
||||
@ -65,6 +67,8 @@ app.include_router(setup_personas_index_router(server, interface), prefix=API_PR
|
||||
app.include_router(setup_models_index_router(server, interface), prefix=API_PREFIX)
|
||||
# /api/config endpoints
|
||||
app.include_router(setup_config_index_router(server, interface), prefix=API_PREFIX)
|
||||
# /v1/assistants endpoints
|
||||
app.include_router(setup_openai_assistant_router(server, interface), prefix=OPENAI_API_PREFIX)
|
||||
# / static files
|
||||
mount_static_files(app)
|
||||
|
||||
|
||||
@ -3,7 +3,7 @@ from fastapi.testclient import TestClient
|
||||
import uuid
|
||||
|
||||
from memgpt.server.server import SyncServer
|
||||
from memgpt.server.rest_api.openai_assistants.assistants import app
|
||||
from memgpt.server.rest_api.server import app
|
||||
from memgpt.constants import DEFAULT_PRESET
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user