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文靖昊
LAE
Commits
afda82ab
Commit
afda82ab
authored
Nov 12, 2024
by
tinywell
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补充当前时间
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-2
agent_rate.py
src/server/agent_rate.py
+5
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src/server/agent_rate.py
View file @
afda82ab
from
typing
import
Any
,
List
,
Sequence
,
Union
from
typing
import
Any
,
List
,
Sequence
,
Union
from
datetime
import
datetime
import
langchain_core
import
langchain_core
from
langchain.tools
import
BaseTool
from
langchain.tools
import
BaseTool
from
langchain_core.prompts
import
PromptTemplate
,
ChatPromptTemplate
,
SystemMessagePromptTemplate
,
MessagesPlaceholder
,
HumanMessagePromptTemplate
from
langchain_core.prompts
import
PromptTemplate
,
ChatPromptTemplate
,
SystemMessagePromptTemplate
,
MessagesPlaceholder
,
HumanMessagePromptTemplate
...
@@ -123,15 +123,18 @@ Action:
...
@@ -123,15 +123,18 @@ Action:
你的回复格式为 Action:```$JSON_BLOB```然后 Observation。
你的回复格式为 Action:```$JSON_BLOB```然后 Observation。
"""
"""
PROMPT_AGENT_HUMAN
=
"""{input}
\n\n
{agent_scratchpad}
\n
(请注意,无论如何都要以 JSON 对象回复。工具返回的数据必须使用表格展示,包含在最终输出中,并且要保证数据的完整性)"""
PROMPT_AGENT_HUMAN
=
"""{input}
\n\n
{agent_scratchpad}
\n
(请注意,无论如何都要以 JSON 对象回复。工具返回的数据必须使用表格展示,包含在最终输出中,并且要保证数据的完整性)"""
PROMPT_AGENT_SYS_VARS
=
[
"tool_names"
,
"tools"
]
PROMPT_AGENT_SYS_VARS
=
[
"tool_names"
,
"tools"
]
class
RateAgentV2
:
class
RateAgentV2
:
def
__init__
(
self
,
llm
,
tools
:
List
[
BaseTool
],
prompt
:
PromptTemplate
=
None
,
verbose
:
bool
=
False
,
**
args
):
def
__init__
(
self
,
llm
,
tools
:
List
[
BaseTool
],
prompt
:
PromptTemplate
=
None
,
verbose
:
bool
=
False
,
**
args
):
date_now
=
datetime
.
now
()
.
strftime
(
"
%
Y-
%
m-
%
d"
)
prompt_human
=
f
"{PROMPT_AGENT_HUMAN}
\n\n
今天是{date_now}"
prompt
=
ChatPromptTemplate
.
from_messages
([
prompt
=
ChatPromptTemplate
.
from_messages
([
SystemMessagePromptTemplate
.
from_template
(
ONLINE_RATE_SYSTEM_PROMPT
),
SystemMessagePromptTemplate
.
from_template
(
ONLINE_RATE_SYSTEM_PROMPT
),
MessagesPlaceholder
(
variable_name
=
"chat_history"
,
optional
=
True
),
MessagesPlaceholder
(
variable_name
=
"chat_history"
,
optional
=
True
),
HumanMessagePromptTemplate
.
from_template
(
PROMPT_AGENT_HUMAN
)
HumanMessagePromptTemplate
.
from_template
(
prompt_human
)
])
])
agent
=
create_structured_chat_agent
(
llm
,
tools
,
prompt
)
agent
=
create_structured_chat_agent
(
llm
,
tools
,
prompt
)
...
...
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