add compute node for llama

history.txt

@@ -0,0 +1,288 @@
+
+# 2023-09-15 03:41:50.683879
++hello
+
+# 2023-09-15 03:42:12.120490
++help
+
+# 2023-09-15 06:37:37.070634
++hel
+
+# 2023-09-15 06:37:43.470674
++he
+
+# 2023-09-15 06:37:46.694774
++help()
+
+# 2023-09-15 06:37:58.255558
++open($target,$topic)
+
+# 2023-09-15 06:38:39.946346
++open(math_school, hello)
+
+# 2023-09-15 06:38:52.255612
++5+3
+
+# 2023-09-15 06:40:08.434216
++open(小学老师,math_school)
+
+# 2023-09-15 06:40:12.511473
++5+3
+
+# 2023-09-15 06:41:07.635875
++send(小学老师, 5+3, math_school)
+
+# 2023-09-15 06:41:28.111632
++send("小学老师", "5+3", "math_school")
+
+# 2023-09-15 06:46:03.361318
++5+3
+
+# 2023-09-15 06:58:04.568600
++open(math_school, 小学老师)
+
+# 2023-09-15 06:58:10.940263
++5+3
+
+# 2023-09-15 08:14:18.370059
++op
+
+# 2023-09-15 08:14:57.303640
++open(math_school,小学老师)
+
+# 2023-09-15 08:16:13.045359
++5+3
+
+# 2023-09-15 08:24:53.045039
++open(math_school,小学老师)
+
+# 2023-09-15 08:24:56.551048
++5+3
+
+# 2023-09-15 08:27:14.113933
++open(math_school,小学老师)
+
+# 2023-09-15 08:27:31.679873
++5+3=8
+
+# 2023-09-15 08:28:39.132082
++$open(math_school,小学老师)
+
+# 2023-09-15 08:29:11.896668
++5+3=8
+
+# 2023-09-15 08:36:34.342241
++open(math_school,小学老师)
+
+# 2023-09-15 08:36:39.386247
++5+3=8
+
+# 2023-09-15 09:57:19.516838
++open(math_school,小学老师)
+
+# 2023-09-15 09:57:33.371520
++5+3=8
+
+# 2023-09-15 10:00:53.355748
++open(math_school,小学老师)
+
+# 2023-09-15 10:01:02.862918
++5+3=8
+
+# 2023-09-15 10:05:53.128794
++open(math_school,小学老师)
+
+# 2023-09-15 10:05:58.133501
++5+3=8
+
+# 2023-09-15 10:07:42.454258
++open(math_school,小学老师)
+
+# 2023-09-15 10:07:47.737608
++5+3=8
+
+# 2023-09-15 10:10:09.716805
++open(math_school,小学老师)
+
+# 2023-09-15 10:10:16.097322
++5+3=8
+
+# 2023-09-15 10:12:08.449379
++open(math_school,小学老师)
+
+# 2023-09-15 10:12:13.079025
++5+3=8
+
+# 2023-09-15 10:13:48.545683
++open(math_school,小学老师)
+
+# 2023-09-15 10:13:54.927181
++5+3=8
+
+# 2023-09-15 10:19:17.745657
++open(math_school,小学老师)
+
+# 2023-09-15 10:19:23.711550
++5+3=8
+
+# 2023-09-15 10:21:26.701757
++open(math_school,小学老师)
+
+# 2023-09-15 10:21:32.767604
++5+3=8
+
+# 2023-09-15 10:26:04.480292
++open(math_school,小学老师)
+
+# 2023-09-15 10:26:10.045387
++5+3=8
+
+# 2023-09-15 10:31:28.045250
++open(match_school, 小学老师)
+
+# 2023-09-15 10:31:36.167547
++5+3=8
+
+# 2023-09-15 10:32:29.338152
++open(match_school, 小学老师)
+
+# 2023-09-15 10:32:35.693949
++3+5=8
+
+# 2023-09-15 10:33:03.433018
++open(match_school, 小学老师)
+
+# 2023-09-15 10:33:14.326229
++4+5=9
+
+# 2023-09-15 10:34:21.259810
++open(math_school, 小学老师)
+
+# 2023-09-15 10:34:34.422484
++1+1=2
+
+# 2023-09-16 10:13:23.564438
++open(math_school, 小学老师)
+
+# 2023-09-16 10:13:29.941319
++5+3=8
+
+# 2023-09-16 10:14:23.145831
++open(math_school, 小学老师)
+
+# 2023-09-16 10:14:26.382580
++5+3=8
+
+# 2023-09-17 11:43:17.436353
++open(math_school, 小学老师)
+
+# 2023-09-17 11:43:22.332117
++5+3=8
+
+# 2023-09-17 11:49:27.933651
++open(math_school, 小学老师)
+
+# 2023-09-17 11:49:35.619278
++5+3=8
+
+# 2023-09-17 11:51:28.813245
++open(math_school, 小学老师)
+
+# 2023-09-17 11:51:34.474472
++5+3=8
+
+# 2023-09-17 11:58:28.221803
++open(math_school, 小学老师)
+
+# 2023-09-17 11:59:16.715335
++5+3=8
+
+# 2023-09-17 12:04:10.819566
++open(math_school, 小学老师)
+
+# 2023-09-17 12:04:15.404546
++5+3=8
+
+# 2023-09-17 12:04:39.159679
++open(math_school, 小学老师)
+
+# 2023-09-17 12:04:50.036365
++5+3=8
+
+# 2023-09-17 12:05:20.015642
++open(math_school, 小学老师)
+
+# 2023-09-17 12:05:26.268601
++5+3=8
+
+# 2023-09-17 12:07:52.687876
++open(math_school, 小学老师)
+
+# 2023-09-17 12:08:10.093561
++5+3=8
+
+# 2023-09-17 12:10:49.055737
++open(math_school, 小学老师)
+
+# 2023-09-17 12:10:55.622177
++5+3=8
+
+# 2023-09-17 12:17:37.593976
++open(math_school, 小学老师)
+
+# 2023-09-17 12:17:41.496433
++5+3=8
+
+# 2023-09-17 12:43:55.489719
++open(math_school, 小学老师)
+
+# 2023-09-17 12:43:59.837491
++5+3=8
+
+# 2023-09-17 12:46:07.069625
++open(math_school, 小学老师)
+
+# 2023-09-17 12:46:13.028847
++5+3=8
+
+# 2023-09-17 12:48:40.762746
++open(math_school, 小学老师)
+
+# 2023-09-17 12:48:45.062939
++5+3=8
+
+# 2023-09-17 12:52:08.003428
++open(math_school, 小学老师)
+
+# 2023-09-17 12:52:15.104145
++5+3=8
+
+# 2023-09-17 12:58:11.789619
++open(math_school, 小学老师)
+
+# 2023-09-17 12:58:17.994040
++5+3=8
+
+# 2023-09-17 13:03:18.654092
++open(math_school, 小学老师)
+
+# 2023-09-17 13:03:23.698141
++5+3=8
+
+# 2023-09-17 13:05:39.719027
++open(math_school, 小学老师)
+
+# 2023-09-17 13:05:44.820351
++5+3=8
+
+# 2023-09-17 13:08:18.344888
++open(math_school, 小学老师)
+
+# 2023-09-17 13:08:25.670674
++5+3=8
+
+# 2023-09-17 13:10:28.539763
++open(math_school, 小学老师)
+
+# 2023-09-17 13:10:33.353629
++5+3=8

rootfs/agents/math_teacher/agent.toml

@@ -1,5 +1,6 @@
 instance_id = "math_teacher"
 fullname = "the one"
+llm_model_name = "llama"
 [[prompt]]
 role = "system"
 content = "你是精通数学的老师"

src/aios_kernel/__init__.py

@@ -9,3 +9,4 @@ from .role import AIRole,AIRoleGroup
 from .workflow import Workflow
 from .bus import AIBus
 from .workflow_env import WorkflowEnvironment,CalenderEnvironment,CalenderEvent
+from .local_llama_compute_node import LocalLlama_ComputeNode

src/aios_kernel/environment.py

@@ -115,7 +115,7 @@ class Environment:
     def get_value(self,key:str) -> Optional[str]:
         handler = self.get_handlers.get(key)
         if handler is not None:
-            return handler(key)
+            return handler()
     
         s = self.values.get(key)
         if isinstance(s,str):

src/aios_kernel/local_llama_compute_node.py

@@ -1,7 +1,7 @@
 
 import logging
 import requests
-from typing import Optional
+from typing import Optional, List
 from pydantic import BaseModel
 
 from .compute_task import ComputeTask, ComputeTaskState, ComputeTaskType
@@ -26,14 +26,18 @@ class LocalLlama_ComputeNode(Queue_ComputeNode):
         class GenerateResponse(BaseModel):
             error: Optional[int]
             msg: Optional[str]
-            results: Optional[str]
+            results: Optional[List[str]]
 
         try:
+            prompt_msgs = []
+            for prompt in task.params["prompts"]:
+                prompt_msgs.append(prompt["content"])
+                
             body = {
-                "prompts": task.params["prompts"]
+                "prompts": prompt_msgs
             }
             
-            response = requests.post("http://aigc:7880/generate", data = body, verify=False)
+            response = requests.post("http://aigc:7880/generate", json = body, verify=False, headers={"Content-Type": "application/json"})
             response.close()
 
             logger.info(f"LocalLlama_ComputeNode task responsed, request: {body}, status-code: {response.status_code}, headers: {response.headers}, content: {response.content}")
@@ -47,19 +51,20 @@ class LocalLlama_ComputeNode(Queue_ComputeNode):
                     }
                 }
             else:
-                resp = GenerateResponse.parse_raw(response.content.decode("utf-8"))
+                resp = response.json()
-                if resp.error:
+                if "error" in resp:
                     return {
                         "state": ComputeTaskState.ERROR,
                         "error": {
-                            "code": resp.error,
+                            "code": resp["error"],
-                            "message": "local llama failed:" + resp.msg
+                            "message": "local llama failed:" + resp["msg"]
                         }
                     }
                 else:
                     return {
-                        "content": str(resp.results),
+                        "state": ComputeTaskState.DONE,
-                        "message": {}
+                        "content": str(resp["results"]),
+                        "message": str(resp["results"])
                     }
         except Exception as err:
             import traceback

src/aios_kernel/open_ai_node.py

@@ -54,11 +54,14 @@ class OpenAI_ComputeNode(ComputeNode):
         prompts = task.params["prompts"]
 
         logger.info(f"call openai {mode_name} prompts: {prompts}")
-        resp = openai.ChatCompletion.create(model=mode_name,
+        try:
-                                            messages=prompts,
+            resp = openai.ChatCompletion.create(model=mode_name,
-                                            functions=task.params["inner_functions"],
+                                                messages=prompts,
-                                            max_tokens=task.params["max_token_size"],
+                                                functions=task.params["inner_functions"],
-                                            temperature=0.7) # TODO: add temperature to task params?
+                                                max_tokens=task.params["max_token_size"],
+                                                temperature=0.7) # TODO: add temperature to task params?
+        except Exception as e:
+            logger.error(f"openai.ChatCompletion.create failed! {e}")
         
         logger.info(f"openai response: {resp}")
         

src/aios_kernel/workflow_env.py

@@ -58,7 +58,7 @@ class CalenderEnvironment(Environment):
     def stop(self):
         self.is_run = False
 
-    async def get_now(self) -> str:
+    def get_now(self) -> str:
         now = datetime.now()
         formatted_time = now.strftime('%Y-%m-%d %H:%M:%S')
         return formatted_time

src/service/aios_shell/aios_shell.py

@@ -26,7 +26,7 @@ shell_style = Style.from_dict({
 
 directory = os.path.dirname(__file__)
 sys.path.append(directory + '/../../')
-from aios_kernel import Workflow,AIAgent,AgentMsg,AgentMsgState,ComputeKernel,OpenAI_ComputeNode,AIBus,AIChatSession
+from aios_kernel import Workflow,AIAgent,AgentMsg,AgentMsgState,ComputeKernel,OpenAI_ComputeNode,AIBus,AIChatSession,LocalLlama_ComputeNode
 
 sys.path.append(directory + '/../../component/')
 from agent_manager import AgentManager
@@ -69,9 +69,15 @@ class AIOS_Shell:
         
         AgentManager().initial(os.path.abspath(directory + "/../../../rootfs/"))
         WorkflowManager().initial(os.path.abspath(directory + "/../../../rootfs/workflows/"))
+
         open_ai_node = OpenAI_ComputeNode()
         open_ai_node.start()
         ComputeKernel().add_compute_node(open_ai_node)
+
+        llama_ai_node = LocalLlama_ComputeNode()
+        llama_ai_node.start()
+        ComputeKernel().add_compute_node(llama_ai_node)
+
         AIBus().get_default_bus().register_unhandle_message_handler(self._handle_no_target_msg)
         return True