feat: agents route replacing chatbots

- Removed API Keys tab from SettingsBar and adjusted tab layout.
- Improved styling for tab scrolling buttons and gradient indicators.
- Introduced AgentDetailsModal for displaying agent access details.
- Updated Analytics component to fetch agent data and handle analytics for selected agent.
- Refactored Logs component to accept agentId as a prop for filtering logs.
- Enhanced type definitions for InputProps to include textSize.
- Cleaned up unused imports and optimized component structure across various files.
This commit is contained in:
Siddhant Rai
2025-04-11 17:24:22 +05:30
parent 94c7bba168
commit fa1f9d7009
29 changed files with 2001 additions and 579 deletions

View File

@@ -27,7 +27,7 @@ db = mongo["docsgpt"]
conversations_collection = db["conversations"]
sources_collection = db["sources"]
prompts_collection = db["prompts"]
api_key_collection = db["api_keys"]
agents_collection = db["agents"]
user_logs_collection = db["user_logs"]
attachments_collection = db["attachments"]
@@ -87,18 +87,18 @@ def run_async_chain(chain, question, chat_history):
def get_data_from_api_key(api_key):
data = api_key_collection.find_one({"key": api_key})
# # Raise custom exception if the API key is not found
if data is None:
raise Exception("Invalid API Key, please generate new key", 401)
data = agents_collection.find_one({"key": api_key})
if not data:
raise Exception("Invalid API Key, please generate a new key", 401)
if "source" in data and isinstance(data["source"], DBRef):
source_doc = db.dereference(data["source"])
source = data.get("source")
if isinstance(source, DBRef):
source_doc = db.dereference(source)
data["source"] = str(source_doc["_id"])
if "retriever" in source_doc:
data["retriever"] = source_doc["retriever"]
data["retriever"] = source_doc.get("retriever", data.get("retriever"))
else:
data["source"] = {}
return data
@@ -128,7 +128,7 @@ def save_conversation(
llm,
decoded_token,
index=None,
api_key=None
api_key=None,
):
current_time = datetime.datetime.now(datetime.timezone.utc)
if conversation_id is not None and index is not None:
@@ -202,7 +202,7 @@ def save_conversation(
],
}
if api_key:
api_key_doc = api_key_collection.find_one({"key": api_key})
api_key_doc = agents_collection.find_one({"key": api_key})
if api_key_doc:
conversation_data["api_key"] = api_key_doc["key"]
conversation_id = conversations_collection.insert_one(
@@ -241,7 +241,9 @@ def complete_stream(
if attachments:
attachment_ids = [attachment["id"] for attachment in attachments]
logger.info(f"Processing request with {len(attachments)} attachments: {attachment_ids}")
logger.info(
f"Processing request with {len(attachments)} attachments: {attachment_ids}"
)
answer = agent.gen(query=question, retriever=retriever)
@@ -294,7 +296,7 @@ def complete_stream(
llm,
decoded_token,
index,
api_key=user_api_key
api_key=user_api_key,
)
else:
conversation_id = None
@@ -366,7 +368,9 @@ class Stream(Resource):
required=False, description="Index of the query to update"
),
"save_conversation": fields.Boolean(
required=False, default=True, description="Whether to save the conversation"
required=False,
default=True,
description="Whether to save the conversation",
),
"attachments": fields.List(
fields.String, required=False, description="List of attachment IDs"
@@ -400,6 +404,7 @@ class Stream(Resource):
chunks = int(data.get("chunks", 2))
token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY)
retriever_name = data.get("retriever", "classic")
agent_type = settings.AGENT_NAME
if "api_key" in data:
data_key = get_data_from_api_key(data["api_key"])
@@ -408,6 +413,7 @@ class Stream(Resource):
source = {"active_docs": data_key.get("source")}
retriever_name = data_key.get("retriever", retriever_name)
user_api_key = data["api_key"]
agent_type = data_key.get("agent_type", agent_type)
decoded_token = {"sub": data_key.get("user")}
elif "active_docs" in data:
@@ -423,8 +429,10 @@ class Stream(Resource):
if not decoded_token:
return make_response({"error": "Unauthorized"}, 401)
attachments = get_attachments_content(attachment_ids, decoded_token.get("sub"))
attachments = get_attachments_content(
attachment_ids, decoded_token.get("sub")
)
logger.info(
f"/stream - request_data: {data}, source: {source}, attachments: {len(attachments)}",
@@ -436,7 +444,7 @@ class Stream(Resource):
chunks = 0
agent = AgentCreator.create_agent(
settings.AGENT_NAME,
agent_type,
endpoint="stream",
llm_name=settings.LLM_NAME,
gpt_model=gpt_model,
@@ -552,6 +560,7 @@ class Answer(Resource):
chunks = int(data.get("chunks", 2))
token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY)
retriever_name = data.get("retriever", "classic")
agent_type = settings.AGENT_NAME
if "api_key" in data:
data_key = get_data_from_api_key(data["api_key"])
@@ -560,6 +569,7 @@ class Answer(Resource):
source = {"active_docs": data_key.get("source")}
retriever_name = data_key.get("retriever", retriever_name)
user_api_key = data["api_key"]
agent_type = data_key.get("agent_type", agent_type)
decoded_token = {"sub": data_key.get("user")}
elif "active_docs" in data:
@@ -584,7 +594,7 @@ class Answer(Resource):
)
agent = AgentCreator.create_agent(
settings.AGENT_NAME,
agent_type,
endpoint="api/answer",
llm_name=settings.LLM_NAME,
gpt_model=gpt_model,
@@ -811,33 +821,34 @@ class Search(Resource):
def get_attachments_content(attachment_ids, user):
"""
Retrieve content from attachment documents based on their IDs.
Args:
attachment_ids (list): List of attachment document IDs
user (str): User identifier to verify ownership
Returns:
list: List of dictionaries containing attachment content and metadata
"""
if not attachment_ids:
return []
attachments = []
for attachment_id in attachment_ids:
try:
attachment_doc = attachments_collection.find_one({
"_id": ObjectId(attachment_id),
"user": user
})
attachment_doc = attachments_collection.find_one(
{"_id": ObjectId(attachment_id), "user": user}
)
if attachment_doc:
attachments.append({
"id": str(attachment_doc["_id"]),
"content": attachment_doc["content"],
"token_count": attachment_doc.get("token_count", 0),
"path": attachment_doc.get("path", "")
})
attachments.append(
{
"id": str(attachment_doc["_id"]),
"content": attachment_doc["content"],
"token_count": attachment_doc.get("token_count", 0),
"path": attachment_doc.get("path", ""),
}
)
except Exception as e:
logger.error(f"Error retrieving attachment {attachment_id}: {e}")
return attachments