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150 changed files with 2814 additions and 6571 deletions

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@@ -16,15 +16,15 @@ jobs:
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pytest pytest-cov
cd application
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
cd ../tests
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Test with pytest and generate coverage report
run: |
python -m pytest --cov=application --cov-report=xml --cov-report=term-missing
python -m pytest --cov=application --cov-report=xml
- name: Upload coverage reports to Codecov
if: github.event_name == 'pull_request' && matrix.python-version == '3.12'
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

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@@ -3,7 +3,6 @@
Welcome, contributors! We're excited to announce that DocsGPT is participating in Hacktoberfest. Get involved by submitting meaningful pull requests.
All Meaningful contributors with accepted PRs that were created for issues with the `hacktoberfest` label (set by our maintainer team: dartpain, siiddhantt, pabik, ManishMadan2882) will receive a cool T-shirt! 🤩.
<img width="1331" height="678" alt="hacktoberfest-mocks-preview" src="https://github.com/user-attachments/assets/633f6377-38db-48f5-b519-a8b3855a9eb4" />
Fill in [this form](https://forms.gle/Npaba4n9Epfyx56S8
) after your PR was merged please

View File

@@ -68,7 +68,7 @@
- [x] MCP support (August 2025)
- [x] Google Drive integration (September 2025)
- [x] Add OAuth 2.0 authentication for MCP (September 2025)
- [ ] SharePoint integration (October 2025)
- [ ] Sharepoint integration (October 2025)
- [ ] Deep Agents (October 2025)
- [ ] Agent scheduling
@@ -118,7 +118,7 @@ A more detailed [Quickstart](https://docs.docsgpt.cloud/quickstart) is available
PowerShell -ExecutionPolicy Bypass -File .\setup.ps1
```
Either script will guide you through setting up DocsGPT. Five options available: using the public API, running locally, connecting to a local inference engine, using a cloud API provider, or build the docker image locally. Scripts will automatically configure your `.env` file and handle necessary downloads and installations based on your chosen option.
Either script will guide you through setting up DocsGPT. Four options available: using the public API, running locally, connecting to a local inference engine, or using a cloud API provider. Scripts will automatically configure your `.env` file and handle necessary downloads and installations based on your chosen option.
**Navigate to http://localhost:5173/**

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@@ -30,10 +30,6 @@ class BaseAgent(ABC):
decoded_token: Optional[Dict] = None,
attachments: Optional[List[Dict]] = None,
json_schema: Optional[Dict] = None,
limited_token_mode: Optional[bool] = False,
token_limit: Optional[int] = settings.DEFAULT_AGENT_LIMITS["token_limit"],
limited_request_mode: Optional[bool] = False,
request_limit: Optional[int] = settings.DEFAULT_AGENT_LIMITS["request_limit"],
):
self.endpoint = endpoint
self.llm_name = llm_name
@@ -42,7 +38,7 @@ class BaseAgent(ABC):
self.user_api_key = user_api_key
self.prompt = prompt
self.decoded_token = decoded_token or {}
self.user: str = self.decoded_token.get("sub")
self.user: str = decoded_token.get("sub")
self.tool_config: Dict = {}
self.tools: List[Dict] = []
self.tool_calls: List[Dict] = []
@@ -58,10 +54,6 @@ class BaseAgent(ABC):
)
self.attachments = attachments or []
self.json_schema = json_schema
self.limited_token_mode = limited_token_mode
self.token_limit = token_limit
self.limited_request_mode = limited_request_mode
self.request_limit = request_limit
@log_activity()
def gen(

View File

@@ -20,10 +20,9 @@ with open(
"r",
) as f:
final_prompt_template = f.read()
MAX_ITERATIONS_REASONING = 10
class ReActAgent(BaseAgent):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
@@ -39,69 +38,49 @@ class ReActAgent(BaseAgent):
collected_content = []
if isinstance(resp, str):
collected_content.append(resp)
elif ( # OpenAI non-streaming or Anthropic non-streaming (older SDK style)
elif ( # OpenAI non-streaming or Anthropic non-streaming (older SDK style)
hasattr(resp, "message")
and hasattr(resp.message, "content")
and resp.message.content is not None
):
collected_content.append(resp.message.content)
elif ( # OpenAI non-streaming (Pydantic model), Anthropic new SDK non-streaming
hasattr(resp, "choices")
and resp.choices
and hasattr(resp.choices[0], "message")
and hasattr(resp.choices[0].message, "content")
and resp.choices[0].message.content is not None
elif ( # OpenAI non-streaming (Pydantic model), Anthropic new SDK non-streaming
hasattr(resp, "choices") and resp.choices and
hasattr(resp.choices[0], "message") and
hasattr(resp.choices[0].message, "content") and
resp.choices[0].message.content is not None
):
collected_content.append(resp.choices[0].message.content) # OpenAI
elif ( # Anthropic new SDK non-streaming content block
hasattr(resp, "content")
and isinstance(resp.content, list)
and resp.content
and hasattr(resp.content[0], "text")
collected_content.append(resp.choices[0].message.content) # OpenAI
elif ( # Anthropic new SDK non-streaming content block
hasattr(resp, "content") and isinstance(resp.content, list) and resp.content and
hasattr(resp.content[0], "text")
):
collected_content.append(resp.content[0].text) # Anthropic
collected_content.append(resp.content[0].text) # Anthropic
else:
# Assume resp is a stream if not a recognized object
chunk = None
try:
for (
chunk
) in (
resp
): # This will fail if resp is not iterable (e.g. a non-streaming response object)
for chunk in resp: # This will fail if resp is not iterable (e.g. a non-streaming response object)
content_piece = ""
# OpenAI-like stream
if (
hasattr(chunk, "choices")
and len(chunk.choices) > 0
and hasattr(chunk.choices[0], "delta")
and hasattr(chunk.choices[0].delta, "content")
and chunk.choices[0].delta.content is not None
):
if hasattr(chunk, 'choices') and len(chunk.choices) > 0 and \
hasattr(chunk.choices[0], 'delta') and \
hasattr(chunk.choices[0].delta, 'content') and \
chunk.choices[0].delta.content is not None:
content_piece = chunk.choices[0].delta.content
# Anthropic-like stream (ContentBlockDelta)
elif (
hasattr(chunk, "type")
and chunk.type == "content_block_delta"
and hasattr(chunk, "delta")
and hasattr(chunk.delta, "text")
):
elif hasattr(chunk, 'type') and chunk.type == 'content_block_delta' and \
hasattr(chunk, 'delta') and hasattr(chunk.delta, 'text'):
content_piece = chunk.delta.text
elif isinstance(chunk, str): # Simplest case: stream of strings
elif isinstance(chunk, str): # Simplest case: stream of strings
content_piece = chunk
if content_piece:
collected_content.append(content_piece)
except (
TypeError
): # If resp is not iterable (e.g. a final response object that wasn't caught above)
logger.debug(
f"Response type {type(resp)} could not be iterated as a stream. It might be a non-streaming object not handled by specific checks."
)
except TypeError: # If resp is not iterable (e.g. a final response object that wasn't caught above)
logger.debug(f"Response type {type(resp)} could not be iterated as a stream. It might be a non-streaming object not handled by specific checks.")
except Exception as e:
logger.error(
f"Error processing potential stream chunk: {e}, chunk was: {getattr(chunk, '__dict__', chunk) if chunk is not None else 'N/A'}"
)
logger.error(f"Error processing potential stream chunk: {e}, chunk was: {getattr(chunk, '__dict__', chunk)}")
return "".join(collected_content)
@@ -133,9 +112,8 @@ class ReActAgent(BaseAgent):
yield {"thought": line_chunk}
self.plan = "".join(current_plan_parts)
if self.plan:
self.observations.append(
f"Plan: {self.plan} Iteration: {iterating_reasoning}"
)
self.observations.append(f"Plan: {self.plan} Iteration: {iterating_reasoning}")
max_obs_len = 20000
obs_str = "\n".join(self.observations)
@@ -147,55 +125,34 @@ class ReActAgent(BaseAgent):
+ f"\n\nObservations:\n{obs_str}"
+ f"\n\nIf there is enough data to complete user query '{query}', Respond with 'SATISFIED' only. Otherwise, continue. Dont Menstion 'SATISFIED' in your response if you are not ready. "
)
messages = self._build_messages(execution_prompt_str, query, retrieved_data)
resp_from_llm_gen = self._llm_gen(messages, log_context)
initial_llm_thought_content = self._extract_content_from_llm_response(
resp_from_llm_gen
)
initial_llm_thought_content = self._extract_content_from_llm_response(resp_from_llm_gen)
if initial_llm_thought_content:
self.observations.append(
f"Initial thought/response: {initial_llm_thought_content}"
)
self.observations.append(f"Initial thought/response: {initial_llm_thought_content}")
else:
logger.info(
"ReActAgent: Initial LLM response (before handler) had no textual content (might be only tool calls)."
)
resp_after_handler = self._llm_handler(
resp_from_llm_gen, tools_dict, messages, log_context
)
for (
tool_call_info
) in (
self.tool_calls
): # Iterate over self.tool_calls populated by _llm_handler
logger.info("ReActAgent: Initial LLM response (before handler) had no textual content (might be only tool calls).")
resp_after_handler = self._llm_handler(resp_from_llm_gen, tools_dict, messages, log_context)
for tool_call_info in self.tool_calls: # Iterate over self.tool_calls populated by _llm_handler
observation_string = (
f"Executed Action: Tool '{tool_call_info.get('tool_name', 'N/A')}' "
f"with arguments '{tool_call_info.get('arguments', '{}')}'. Result: '{str(tool_call_info.get('result', ''))[:200]}...'"
)
self.observations.append(observation_string)
content_after_handler = self._extract_content_from_llm_response(
resp_after_handler
)
content_after_handler = self._extract_content_from_llm_response(resp_after_handler)
if content_after_handler:
self.observations.append(
f"Response after tool execution: {content_after_handler}"
)
self.observations.append(f"Response after tool execution: {content_after_handler}")
else:
logger.info(
"ReActAgent: LLM response after handler had no textual content."
)
logger.info("ReActAgent: LLM response after handler had no textual content.")
if log_context:
log_context.stacks.append(
{
"component": "agent_tool_calls",
"data": {"tool_calls": self.tool_calls.copy()},
}
{"component": "agent_tool_calls", "data": {"tool_calls": self.tool_calls.copy()}}
)
yield {"sources": retrieved_data}
@@ -208,17 +165,13 @@ class ReActAgent(BaseAgent):
display_tool_calls.append(cleaned_tc)
if display_tool_calls:
yield {"tool_calls": display_tool_calls}
if "SATISFIED" in content_after_handler:
logger.info(
"ReActAgent: LLM satisfied with the plan and data. Stopping reasoning."
)
logger.info("ReActAgent: LLM satisfied with the plan and data. Stopping reasoning.")
break
# 3. Create Final Answer based on all observations
final_answer_stream = self._create_final_answer(
query, self.observations, log_context
)
final_answer_stream = self._create_final_answer(query, self.observations, log_context)
for answer_chunk in final_answer_stream:
yield {"answer": answer_chunk}
logger.info("ReActAgent: Finished generating final answer.")
@@ -231,16 +184,12 @@ class ReActAgent(BaseAgent):
summaries = docs_data if docs_data else "No documents retrieved."
plan_prompt_filled = plan_prompt_filled.replace("{summaries}", summaries)
plan_prompt_filled = plan_prompt_filled.replace("{prompt}", self.prompt or "")
plan_prompt_filled = plan_prompt_filled.replace(
"{observations}", "\n".join(self.observations)
)
plan_prompt_filled = plan_prompt_filled.replace("{observations}", "\n".join(self.observations))
messages = [{"role": "user", "content": plan_prompt_filled}]
plan_stream_from_llm = self.llm.gen_stream(
model=self.gpt_model,
messages=messages,
tools=getattr(self, "tools", None), # Use self.tools
model=self.gpt_model, messages=messages, tools=getattr(self, 'tools', None) # Use self.tools
)
if log_context:
data = build_stack_data(self.llm)
@@ -257,12 +206,8 @@ class ReActAgent(BaseAgent):
observation_string = "\n".join(observations)
max_obs_len = 10000
if len(observation_string) > max_obs_len:
observation_string = (
observation_string[:max_obs_len] + "\n...[observations truncated]"
)
logger.warning(
"ReActAgent: Truncated observations for final answer prompt due to length."
)
observation_string = observation_string[:max_obs_len] + "\n...[observations truncated]"
logger.warning("ReActAgent: Truncated observations for final answer prompt due to length.")
final_answer_prompt_filled = final_prompt_template.format(
query=query, observations=observation_string
@@ -281,4 +226,4 @@ class ReActAgent(BaseAgent):
for chunk in final_answer_stream_from_llm:
content_piece = self._extract_content_from_llm_response(chunk)
if content_piece:
yield content_piece
yield content_piece

View File

@@ -20,24 +20,20 @@ class ToolActionParser:
try:
call_args = json.loads(call.arguments)
tool_parts = call.name.split("_")
# If the tool name doesn't contain an underscore, it's likely a hallucinated tool
if len(tool_parts) < 2:
logger.warning(
f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id"
)
logger.warning(f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id")
return None, None, None
tool_id = tool_parts[-1]
action_name = "_".join(tool_parts[:-1])
# Validate that tool_id looks like a numerical ID
if not tool_id.isdigit():
logger.warning(
f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call."
)
except (AttributeError, TypeError, json.JSONDecodeError) as e:
logger.warning(f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call.")
except (AttributeError, TypeError) as e:
logger.error(f"Error parsing OpenAI LLM call: {e}")
return None, None, None
return tool_id, action_name, call_args
@@ -46,23 +42,19 @@ class ToolActionParser:
try:
call_args = call.arguments
tool_parts = call.name.split("_")
# If the tool name doesn't contain an underscore, it's likely a hallucinated tool
if len(tool_parts) < 2:
logger.warning(
f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id"
)
logger.warning(f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id")
return None, None, None
tool_id = tool_parts[-1]
action_name = "_".join(tool_parts[:-1])
# Validate that tool_id looks like a numerical ID
if not tool_id.isdigit():
logger.warning(
f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call."
)
logger.warning(f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call.")
except (AttributeError, TypeError) as e:
logger.error(f"Error parsing Google LLM call: {e}")
return None, None, None

View File

@@ -72,9 +72,6 @@ class AnswerResource(Resource, BaseAnswerResource):
agent = processor.create_agent()
retriever = processor.create_retriever()
if error := self.check_usage(processor.agent_config):
return error
stream = self.complete_stream(
question=data["question"],
agent=agent,

View File

@@ -3,7 +3,7 @@ import json
import logging
from typing import Any, Dict, Generator, List, Optional
from flask import Response, make_response, jsonify
from flask import Response
from flask_restx import Namespace
from application.api.answer.services.conversation_service import ConversationService
@@ -25,7 +25,6 @@ class BaseAnswerResource:
def __init__(self):
mongo = MongoDB.get_client()
db = mongo[settings.MONGO_DB_NAME]
self.db = db
self.user_logs_collection = db["user_logs"]
self.gpt_model = get_gpt_model()
self.conversation_service = ConversationService()
@@ -41,88 +40,6 @@ class BaseAnswerResource:
return missing_fields
return None
def check_usage(
self, agent_config: Dict
) -> Optional[Response]:
"""Check if there is a usage limit and if it is exceeded
Args:
agent_config: The config dict of agent instance
Returns:
None or Response if either of limits exceeded.
"""
api_key = agent_config.get("user_api_key")
if not api_key:
return None
agents_collection = self.db["agents"]
agent = agents_collection.find_one({"key": api_key})
if not agent:
return make_response(
jsonify(
{
"success": False,
"message": "Invalid API key."
}
),
401
)
limited_token_mode = agent.get("limited_token_mode", False)
limited_request_mode = agent.get("limited_request_mode", False)
token_limit = int(agent.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]))
request_limit = int(agent.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]))
token_usage_collection = self.db["token_usage"]
end_date = datetime.datetime.now()
start_date = end_date - datetime.timedelta(hours=24)
match_query = {
"timestamp": {"$gte": start_date, "$lte": end_date},
"api_key": api_key
}
if limited_token_mode:
token_pipeline = [
{"$match": match_query},
{
"$group": {
"_id": None,
"total_tokens": {"$sum": {"$add": ["$prompt_tokens", "$generated_tokens"]}}
}
}
]
token_result = list(token_usage_collection.aggregate(token_pipeline))
daily_token_usage = token_result[0]["total_tokens"] if token_result else 0
else:
daily_token_usage = 0
if limited_request_mode:
daily_request_usage = token_usage_collection.count_documents(match_query)
else:
daily_request_usage = 0
if not limited_token_mode and not limited_request_mode:
return None
elif limited_token_mode and token_limit > daily_token_usage:
return None
elif limited_request_mode and request_limit > daily_request_usage:
return None
return make_response(
jsonify(
{
"success": False,
"message": "Exceeding usage limit, please try again later."
}
),
429, # too many requests
)
def complete_stream(
self,
question: str,
@@ -276,43 +193,6 @@ class BaseAnswerResource:
data = json.dumps({"type": "end"})
yield f"data: {data}\n\n"
except GeneratorExit:
# Client aborted the connection
logger.info(
f"Stream aborted by client for question: {question[:50]}... "
)
# Save partial response to database before exiting
if should_save_conversation and response_full:
try:
if isNoneDoc:
for doc in source_log_docs:
doc["source"] = "None"
llm = LLMCreator.create_llm(
settings.LLM_PROVIDER,
api_key=settings.API_KEY,
user_api_key=user_api_key,
decoded_token=decoded_token,
)
self.conversation_service.save_conversation(
conversation_id,
question,
response_full,
thought,
source_log_docs,
tool_calls,
llm,
self.gpt_model,
decoded_token,
index=index,
api_key=user_api_key,
agent_id=agent_id,
is_shared_usage=is_shared_usage,
shared_token=shared_token,
attachment_ids=attachment_ids,
)
except Exception as e:
logger.error(f"Error saving partial response: {str(e)}", exc_info=True)
raise
except Exception as e:
logger.error(f"Error in stream: {str(e)}", exc_info=True)
data = json.dumps(

View File

@@ -76,9 +76,6 @@ class StreamResource(Resource, BaseAnswerResource):
agent = processor.create_agent()
retriever = processor.create_retriever()
if error := self.check_usage(processor.agent_config):
return error
return Response(
self.complete_stream(
question=data["question"],

View File

@@ -23,9 +23,15 @@ from application.core.settings import settings
from application.api import api
from application.utils import (
check_required_fields
)
from application.parser.connectors.connector_creator import ConnectorCreator
mongo = MongoDB.get_client()
db = mongo[settings.MONGO_DB_NAME]
sources_collection = db["sources"]
@@ -37,6 +43,185 @@ api.add_namespace(connectors_ns)
@connectors_ns.route("/api/connectors/upload")
class UploadConnector(Resource):
@api.expect(
api.model(
"ConnectorUploadModel",
{
"user": fields.String(required=True, description="User ID"),
"source": fields.String(
required=True, description="Source type (google_drive, github, etc.)"
),
"name": fields.String(required=True, description="Job name"),
"data": fields.String(required=True, description="Configuration data"),
"repo_url": fields.String(description="GitHub repository URL"),
},
)
)
@api.doc(
description="Uploads connector source for vectorization",
)
def post(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
data = request.form
required_fields = ["user", "source", "name", "data"]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
config = json.loads(data["data"])
source_data = None
sync_frequency = config.get("sync_frequency", "never")
if data["source"] == "github":
source_data = config.get("repo_url")
elif data["source"] in ["crawler", "url"]:
source_data = config.get("url")
elif data["source"] == "reddit":
source_data = config
elif data["source"] in ConnectorCreator.get_supported_connectors():
session_token = config.get("session_token")
if not session_token:
return make_response(jsonify({
"success": False,
"error": f"Missing session_token in {data['source']} configuration"
}), 400)
file_ids = config.get("file_ids", [])
if isinstance(file_ids, str):
file_ids = [id.strip() for id in file_ids.split(',') if id.strip()]
elif not isinstance(file_ids, list):
file_ids = []
folder_ids = config.get("folder_ids", [])
if isinstance(folder_ids, str):
folder_ids = [id.strip() for id in folder_ids.split(',') if id.strip()]
elif not isinstance(folder_ids, list):
folder_ids = []
config["file_ids"] = file_ids
config["folder_ids"] = folder_ids
task = ingest_connector_task.delay(
job_name=data["name"],
user=decoded_token.get("sub"),
source_type=data["source"],
session_token=session_token,
file_ids=file_ids,
folder_ids=folder_ids,
recursive=config.get("recursive", False),
retriever=config.get("retriever", "classic"),
sync_frequency=sync_frequency
)
return make_response(jsonify({"success": True, "task_id": task.id}), 200)
task = ingest_connector_task.delay(
source_data=source_data,
job_name=data["name"],
user=decoded_token.get("sub"),
loader=data["source"],
sync_frequency=sync_frequency
)
except Exception as err:
current_app.logger.error(
f"Error uploading connector source: {err}", exc_info=True
)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify({"success": True, "task_id": task.id}), 200)
@connectors_ns.route("/api/connectors/task_status")
class ConnectorTaskStatus(Resource):
task_status_model = api.model(
"ConnectorTaskStatusModel",
{"task_id": fields.String(required=True, description="Task ID")},
)
@api.expect(task_status_model)
@api.doc(description="Get connector task status")
def get(self):
task_id = request.args.get("task_id")
if not task_id:
return make_response(
jsonify({"success": False, "message": "Task ID is required"}), 400
)
try:
from application.celery_init import celery
task = celery.AsyncResult(task_id)
task_meta = task.info
print(f"Task status: {task.status}")
if not isinstance(
task_meta, (dict, list, str, int, float, bool, type(None))
):
task_meta = str(task_meta)
except Exception as err:
current_app.logger.error(f"Error getting task status: {err}", exc_info=True)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify({"status": task.status, "result": task_meta}), 200)
@connectors_ns.route("/api/connectors/sources")
class ConnectorSources(Resource):
@api.doc(description="Get connector sources")
def get(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
user = decoded_token.get("sub")
try:
sources = sources_collection.find({"user": user, "type": "connector:file"}).sort("date", -1)
connector_sources = []
for source in sources:
connector_sources.append({
"id": str(source["_id"]),
"name": source.get("name"),
"date": source.get("date"),
"type": source.get("type"),
"source": source.get("source"),
"tokens": source.get("tokens", ""),
"retriever": source.get("retriever", "classic"),
"syncFrequency": source.get("sync_frequency", ""),
})
except Exception as err:
current_app.logger.error(f"Error retrieving connector sources: {err}", exc_info=True)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify(connector_sources), 200)
@connectors_ns.route("/api/connectors/delete")
class DeleteConnectorSource(Resource):
@api.doc(
description="Delete a connector source",
params={"source_id": "The source ID to delete"},
)
def delete(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
source_id = request.args.get("source_id")
if not source_id:
return make_response(
jsonify({"success": False, "message": "source_id is required"}), 400
)
try:
result = sources_collection.delete_one(
{"_id": ObjectId(source_id), "user": decoded_token.get("sub")}
)
if result.deleted_count == 0:
return make_response(
jsonify({"success": False, "message": "Source not found"}), 404
)
except Exception as err:
current_app.logger.error(
f"Error deleting connector source: {err}", exc_info=True
)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify({"success": True}), 200)
@connectors_ns.route("/api/connectors/auth")
class ConnectorAuth(Resource):
@api.doc(description="Get connector OAuth authorization URL", params={"provider": "Connector provider (e.g., google_drive)"})
@@ -152,6 +337,27 @@ class ConnectorsCallback(Resource):
return redirect("/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.")
@connectors_ns.route("/api/connectors/refresh")
class ConnectorRefresh(Resource):
@api.expect(api.model("ConnectorRefreshModel", {"provider": fields.String(required=True), "refresh_token": fields.String(required=True)}))
@api.doc(description="Refresh connector access token")
def post(self):
try:
data = request.get_json()
provider = data.get('provider')
refresh_token = data.get('refresh_token')
if not provider or not refresh_token:
return make_response(jsonify({"success": False, "error": "provider and refresh_token are required"}), 400)
auth = ConnectorCreator.create_auth(provider)
token_info = auth.refresh_access_token(refresh_token)
return make_response(jsonify({"success": True, "token_info": token_info}), 200)
except Exception as e:
current_app.logger.error(f"Error refreshing token for connector: {e}")
return make_response(jsonify({"success": False, "error": str(e)}), 500)
@connectors_ns.route("/api/connectors/files")
class ConnectorFiles(Resource):
@api.expect(api.model("ConnectorFilesModel", {

View File

@@ -10,7 +10,6 @@ from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.core.settings import settings
from application.api.user.base import (
agents_collection,
db,
@@ -75,10 +74,6 @@ class GetAgent(Resource):
"agent_type": agent.get("agent_type", ""),
"status": agent.get("status", ""),
"json_schema": agent.get("json_schema"),
"limited_token_mode": agent.get("limited_token_mode", False),
"token_limit": agent.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]),
"limited_request_mode": agent.get("limited_request_mode", False),
"request_limit": agent.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]),
"created_at": agent.get("createdAt", ""),
"updated_at": agent.get("updatedAt", ""),
"last_used_at": agent.get("lastUsedAt", ""),
@@ -148,10 +143,6 @@ class GetAgents(Resource):
"agent_type": agent.get("agent_type", ""),
"status": agent.get("status", ""),
"json_schema": agent.get("json_schema"),
"limited_token_mode": agent.get("limited_token_mode", False),
"token_limit": agent.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]),
"limited_request_mode": agent.get("limited_request_mode", False),
"request_limit": agent.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]),
"created_at": agent.get("createdAt", ""),
"updated_at": agent.get("updatedAt", ""),
"last_used_at": agent.get("lastUsedAt", ""),
@@ -208,22 +199,6 @@ class CreateAgent(Resource):
required=False,
description="JSON schema for enforcing structured output format",
),
"limited_token_mode": fields.Boolean(
required=False,
description="Whether the agent is in limited token mode"
),
"token_limit": fields.Integer(
required=False,
description="Token limit for the agent in limited mode"
),
"limited_request_mode": fields.Boolean(
required=False,
description="Whether the agent is in limited request mode"
),
"request_limit": fields.Integer(
required=False,
description="Request limit for the agent in limited mode"
)
},
)
@@ -369,10 +344,6 @@ class CreateAgent(Resource):
"agent_type": data.get("agent_type", ""),
"status": data.get("status"),
"json_schema": data.get("json_schema"),
"limited_token_mode": data.get("limited_token_mode", False),
"token_limit": data.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]),
"limited_request_mode": data.get("limited_request_mode", False),
"request_limit": data.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]),
"createdAt": datetime.datetime.now(datetime.timezone.utc),
"updatedAt": datetime.datetime.now(datetime.timezone.utc),
"lastUsedAt": None,
@@ -428,22 +399,6 @@ class UpdateAgent(Resource):
required=False,
description="JSON schema for enforcing structured output format",
),
"limited_token_mode": fields.Boolean(
required=False,
description="Whether the agent is in limited token mode"
),
"token_limit": fields.Integer(
required=False,
description="Token limit for the agent in limited mode"
),
"limited_request_mode": fields.Boolean(
require=False,
description="Whether the agent is in limited request mode"
),
"request_limit": fields.Integer(
required=False,
description="Request limit for the agent in limited mode"
)
},
)
@@ -531,10 +486,6 @@ class UpdateAgent(Resource):
"agent_type",
"status",
"json_schema",
"limited_token_mode",
"token_limit",
"limited_request_mode",
"request_limit"
]
for field in allowed_fields:
@@ -651,54 +602,6 @@ class UpdateAgent(Resource):
update_fields[field] = json_schema
else:
update_fields[field] = None
elif field == "limited_token_mode":
is_mode_enabled = data.get("limited_token_mode", False)
if is_mode_enabled and data.get("token_limit") is None:
return make_response(
jsonify(
{
"success": False,
"message": "Token limit must be provided when limited token mode is enabled",
}
),
400,
)
elif field == "limited_request_mode":
is_mode_enabled = data.get("limited_request_mode", False)
if is_mode_enabled and data.get("request_limit") is None:
return make_response(
jsonify(
{
"success": False,
"message": "Request limit must be provided when limited request mode is enabled",
}
),
400,
)
elif field == "token_limit":
token_limit = data.get("token_limit")
if token_limit is not None and not data.get("limited_token_mode"):
return make_response(
jsonify(
{
"success": False,
"message": "Token limit cannot be set when limited token mode is disabled",
}
),
400,
)
elif field == "request_limit":
request_limit = data.get("request_limit")
if request_limit is not None and not data.get("limited_request_mode"):
return make_response(
jsonify(
{
"success": False,
"message": "Request limit cannot be set when limited request mode is disabled",
}
),
400,
)
else:
value = data[field]
if field in ["name", "description", "prompt_id", "agent_type"]:
@@ -919,70 +822,6 @@ class PinnedAgents(Resource):
return make_response(jsonify(list_pinned_agents), 200)
@agents_ns.route("/template_agents")
class GetTemplateAgents(Resource):
@api.doc(description="Get template/premade agents")
def get(self):
try:
template_agents = agents_collection.find({"user": "system"})
template_agents = [
{
"id": str(agent["_id"]),
"name": agent["name"],
"description": agent["description"],
"image": agent.get("image", ""),
}
for agent in template_agents
]
return make_response(jsonify(template_agents), 200)
except Exception as e:
current_app.logger.error(f"Template agents fetch error: {e}", exc_info=True)
return make_response(jsonify({"success": False}), 400)
@agents_ns.route("/adopt_agent")
class AdoptAgent(Resource):
@api.doc(params={"id": "Agent ID"}, description="Adopt an agent by ID")
def post(self):
if not (decoded_token := request.decoded_token):
return make_response(jsonify({"success": False}), 401)
if not (agent_id := request.args.get("id")):
return make_response(
jsonify({"success": False, "message": "ID required"}), 400
)
try:
agent = agents_collection.find_one(
{"_id": ObjectId(agent_id), "user": "system"}
)
if not agent:
return make_response(jsonify({"status": "Not found"}), 404)
new_agent = agent.copy()
new_agent.pop("_id", None)
new_agent["user"] = decoded_token["sub"]
new_agent["status"] = "published"
new_agent["lastUsedAt"] = datetime.datetime.now(datetime.timezone.utc)
new_agent["key"] = str(uuid.uuid4())
insert_result = agents_collection.insert_one(new_agent)
response_agent = new_agent.copy()
response_agent.pop("_id", None)
response_agent["id"] = str(insert_result.inserted_id)
response_agent["tool_details"] = resolve_tool_details(
response_agent.get("tools", [])
)
if isinstance(response_agent.get("source"), DBRef):
response_agent["source"] = str(response_agent["source"].id)
return make_response(
jsonify({"success": True, "agent": response_agent}), 200
)
except Exception as e:
current_app.logger.error(f"Agent adopt error: {e}", exc_info=True)
return make_response(jsonify({"success": False}), 400)
@agents_ns.route("/pin_agent")
class PinAgent(Resource):
@api.doc(params={"id": "ID of the agent"}, description="Pin or unpin an agent")

View File

@@ -9,7 +9,6 @@ from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.core.settings import settings
from application.api.user.base import (
agents_collection,
db,
@@ -76,10 +75,6 @@ class SharedAgent(Resource):
"agent_type": shared_agent.get("agent_type", ""),
"status": shared_agent.get("status", ""),
"json_schema": shared_agent.get("json_schema"),
"limited_token_mode": shared_agent.get("limited_token_mode", False),
"token_limit": shared_agent.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]),
"limited_request_mode": shared_agent.get("limited_request_mode", False),
"request_limit": shared_agent.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]),
"created_at": shared_agent.get("createdAt", ""),
"updated_at": shared_agent.get("updatedAt", ""),
"shared": shared_agent.get("shared_publicly", False),
@@ -154,10 +149,6 @@ class SharedAgents(Resource):
"agent_type": agent.get("agent_type", ""),
"status": agent.get("status", ""),
"json_schema": agent.get("json_schema"),
"limited_token_mode": agent.get("limited_token_mode", False),
"token_limit": agent.get("token_limit", settings.DEFAULT_AGENT_LIMITS["token_limit"]),
"limited_request_mode": agent.get("limited_request_mode", False),
"request_limit": agent.get("request_limit", settings.DEFAULT_AGENT_LIMITS["request_limit"]),
"created_at": agent.get("createdAt", ""),
"updated_at": agent.get("updatedAt", ""),
"pinned": str(agent["_id"]) in pinned_ids,

View File

@@ -10,7 +10,7 @@ from application.api import api
from application.api.user.base import agents_collection, storage
from application.api.user.tasks import store_attachment
from application.core.settings import settings
from application.tts.tts_creator import TTSCreator
from application.tts.google_tts import GoogleTTS
from application.utils import safe_filename
@@ -133,7 +133,7 @@ class TextToSpeech(Resource):
data = request.get_json()
text = data["text"]
try:
tts_instance = TTSCreator.create_tts(settings.TTS_PROVIDER)
tts_instance = GoogleTTS()
audio_base64, detected_language = tts_instance.text_to_speech(text)
return make_response(
jsonify(

View File

@@ -2,10 +2,12 @@
import json
import math
import os
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, redirect, request
from flask_restx import fields, Namespace, Resource
from werkzeug.utils import secure_filename
from application.api import api
from application.api.user.base import sources_collection
@@ -134,6 +136,31 @@ class PaginatedSources(Resource):
return make_response(jsonify({"success": False}), 400)
@sources_ns.route("/docs_check")
class CheckDocs(Resource):
check_docs_model = api.model(
"CheckDocsModel",
{"docs": fields.String(required=True, description="Document name")},
)
@api.expect(check_docs_model)
@api.doc(description="Check if document exists")
def post(self):
data = request.get_json()
required_fields = ["docs"]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
vectorstore = "vectors/" + secure_filename(data["docs"])
if os.path.exists(vectorstore) or data["docs"] == "default":
return {"status": "exists"}, 200
except Exception as err:
current_app.logger.error(f"Error checking document: {err}", exc_info=True)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify({"status": "not found"}), 404)
@sources_ns.route("/delete_by_ids")
class DeleteByIds(Resource):
@api.doc(

View File

@@ -562,21 +562,10 @@ class TaskStatus(Resource):
task = celery.AsyncResult(task_id)
task_meta = task.info
print(f"Task status: {task.status}")
if task.status == "PENDING":
inspect = celery.control.inspect()
active_workers = inspect.ping()
if not active_workers:
raise ConnectionError("Service unavailable")
if not isinstance(
task_meta, (dict, list, str, int, float, bool, type(None))
):
task_meta = str(task_meta) # Convert to a string representation
except ConnectionError as err:
return make_response(
jsonify({"success": False, "message": str(err)}), 503
)
except Exception as err:
current_app.logger.error(f"Error getting task status: {err}", exc_info=True)
return make_response(jsonify({"success": False}), 400)

View File

@@ -28,10 +28,6 @@ class Settings(BaseSettings):
"claude-2": 1e5,
"gemini-2.5-flash": 1e6,
}
DEFAULT_AGENT_LIMITS: dict = {
"token_limit": 50000,
"request_limit": 500,
}
UPLOAD_FOLDER: str = "inputs"
PARSE_PDF_AS_IMAGE: bool = False
PARSE_IMAGE_REMOTE: bool = False
@@ -55,9 +51,6 @@ class Settings(BaseSettings):
"http://127.0.0.1:7091/api/connectors/callback" ##add redirect url as it is to your provider's console(gcp)
)
# GitHub source
GITHUB_ACCESS_TOKEN: Optional[str] = None # PAT token with read repo access
# LLM Cache
CACHE_REDIS_URL: str = "redis://localhost:6379/2"
@@ -130,7 +123,6 @@ class Settings(BaseSettings):
# Encryption settings
ENCRYPTION_SECRET_KEY: str = "default-docsgpt-encryption-key"
TTS_PROVIDER: str = "google_tts" # google_tts or elevenlabs
ELEVENLABS_API_KEY: Optional[str] = None
path = Path(__file__).parent.parent.absolute()

View File

@@ -46,9 +46,5 @@ class AnthropicLLM(BaseLLM):
stream=True,
)
try:
for completion in stream_response:
yield completion.completion
finally:
if hasattr(stream_response, 'close'):
stream_response.close()
for completion in stream_response:
yield completion.completion

View File

@@ -121,19 +121,11 @@ class DocsGPTAPILLM(BaseLLM):
model="docsgpt", messages=messages, stream=stream, **kwargs
)
try:
for line in response:
if (
len(line.choices) > 0
and line.choices[0].delta.content is not None
and len(line.choices[0].delta.content) > 0
):
yield line.choices[0].delta.content
elif len(line.choices) > 0:
yield line.choices[0]
finally:
if hasattr(response, 'close'):
response.close()
for line in response:
if len(line.choices) > 0 and line.choices[0].delta.content is not None and len(line.choices[0].delta.content) > 0:
yield line.choices[0].delta.content
elif len(line.choices) > 0:
yield line.choices[0]
def _supports_tools(self):
return True

View File

@@ -373,21 +373,17 @@ class GoogleLLM(BaseLLM):
config=config,
)
try:
for chunk in response:
if hasattr(chunk, "candidates") and chunk.candidates:
for candidate in chunk.candidates:
if candidate.content and candidate.content.parts:
for part in candidate.content.parts:
if part.function_call:
yield part
elif part.text:
yield part.text
elif hasattr(chunk, "text"):
yield chunk.text
finally:
if hasattr(response, 'close'):
response.close()
for chunk in response:
if hasattr(chunk, "candidates") and chunk.candidates:
for candidate in chunk.candidates:
if candidate.content and candidate.content.parts:
for part in candidate.content.parts:
if part.function_call:
yield part
elif part.text:
yield part.text
elif hasattr(chunk, "text"):
yield chunk.text
def _supports_tools(self):
"""Return whether this LLM supports function calling."""

View File

@@ -170,19 +170,15 @@ class OpenAILLM(BaseLLM):
response = self.client.chat.completions.create(**request_params)
try:
for line in response:
if (
len(line.choices) > 0
and line.choices[0].delta.content is not None
and len(line.choices[0].delta.content) > 0
):
yield line.choices[0].delta.content
elif len(line.choices) > 0:
yield line.choices[0]
finally:
if hasattr(response, 'close'):
response.close()
for line in response:
if (
len(line.choices) > 0
and line.choices[0].delta.content is not None
and len(line.choices[0].delta.content) > 0
):
yield line.choices[0].delta.content
elif len(line.choices) > 0:
yield line.choices[0]
def _supports_tools(self):
return True

View File

@@ -1,135 +1,44 @@
import base64
import requests
import time
from typing import List, Optional
from typing import List
from application.parser.remote.base import BaseRemote
from application.parser.schema.base import Document
from langchain_core.documents import Document
import mimetypes
from application.core.settings import settings
class GitHubLoader(BaseRemote):
def __init__(self):
self.access_token = settings.GITHUB_ACCESS_TOKEN
self.access_token = None
self.headers = {
"Authorization": f"token {self.access_token}",
"Accept": "application/vnd.github.v3+json"
} if self.access_token else {
"Accept": "application/vnd.github.v3+json"
}
"Authorization": f"token {self.access_token}"
} if self.access_token else {}
return
def is_text_file(self, file_path: str) -> bool:
"""Determine if a file is a text file based on extension."""
# Common text file extensions
text_extensions = {
'.txt', '.md', '.markdown', '.rst', '.json', '.xml', '.yaml', '.yml',
'.py', '.js', '.ts', '.jsx', '.tsx', '.java', '.c', '.cpp', '.h', '.hpp',
'.cs', '.go', '.rs', '.rb', '.php', '.swift', '.kt', '.scala',
'.html', '.css', '.scss', '.sass', '.less',
'.sh', '.bash', '.zsh', '.fish',
'.sql', '.r', '.m', '.mat',
'.ini', '.cfg', '.conf', '.config', '.env',
'.gitignore', '.dockerignore', '.editorconfig',
'.log', '.csv', '.tsv'
}
# Get file extension
file_lower = file_path.lower()
for ext in text_extensions:
if file_lower.endswith(ext):
return True
# Also check MIME type
mime_type, _ = mimetypes.guess_type(file_path)
if mime_type and (mime_type.startswith("text") or mime_type in ["application/json", "application/xml"]):
return True
return False
def fetch_file_content(self, repo_url: str, file_path: str) -> Optional[str]:
"""Fetch file content. Returns None if file should be skipped (binary files or empty files)."""
def fetch_file_content(self, repo_url: str, file_path: str) -> str:
url = f"https://api.github.com/repos/{repo_url}/contents/{file_path}"
response = self._make_request(url)
response = requests.get(url, headers=self.headers)
content = response.json()
if response.status_code == 200:
content = response.json()
mime_type, _ = mimetypes.guess_type(file_path) # Guess the MIME type based on the file extension
if content.get("encoding") == "base64":
if self.is_text_file(file_path): # Handle only text files
try:
decoded_content = base64.b64decode(content["content"]).decode("utf-8").strip()
# Skip empty files
if not decoded_content:
return None
return decoded_content
except Exception:
# If decoding fails, it's probably a binary file
return None
if content.get("encoding") == "base64":
if mime_type and mime_type.startswith("text"): # Handle only text files
try:
decoded_content = base64.b64decode(content["content"]).decode("utf-8")
return f"Filename: {file_path}\n\n{decoded_content}"
except Exception as e:
raise e
else:
return f"Filename: {file_path} is a binary file and was skipped."
else:
# Skip binary files by returning None
return None
return f"Filename: {file_path}\n\n{content['content']}"
else:
file_content = content['content'].strip()
# Skip empty files
if not file_content:
return None
return file_content
def _make_request(self, url: str, max_retries: int = 3) -> requests.Response:
"""Make a request with retry logic for rate limiting"""
for attempt in range(max_retries):
response = requests.get(url, headers=self.headers)
if response.status_code == 200:
return response
elif response.status_code == 403:
# Check if it's a rate limit issue
try:
error_data = response.json()
error_msg = error_data.get("message", "")
# Check rate limit headers
remaining = response.headers.get("X-RateLimit-Remaining", "unknown")
reset_time = response.headers.get("X-RateLimit-Reset", "unknown")
print(f"GitHub API 403 Error: {error_msg}")
print(f"Rate limit remaining: {remaining}, Reset time: {reset_time}")
if "rate limit" in error_msg.lower():
if attempt < max_retries - 1:
wait_time = 2 ** attempt # Exponential backoff
print(f"Rate limit hit, waiting {wait_time} seconds before retry...")
time.sleep(wait_time)
continue
# Provide helpful error message
if remaining == "0":
raise Exception(f"GitHub API rate limit exceeded. Please set GITHUB_ACCESS_TOKEN environment variable. Reset time: {reset_time}")
else:
raise Exception(f"GitHub API error: {error_msg}. This may require authentication - set GITHUB_ACCESS_TOKEN environment variable.")
except Exception as e:
if isinstance(e, Exception) and "GitHub API" in str(e):
raise
# If we can't parse the response, raise the original error
response.raise_for_status()
else:
response.raise_for_status()
return response
response.raise_for_status()
def fetch_repo_files(self, repo_url: str, path: str = "") -> List[str]:
url = f"https://api.github.com/repos/{repo_url}/contents/{path}"
response = self._make_request(url)
response = requests.get(url, headers={**self.headers, "Accept": "application/vnd.github.v3.raw"})
contents = response.json()
# Handle error responses from GitHub API
if isinstance(contents, dict) and "message" in contents:
raise Exception(f"GitHub API error: {contents.get('message')}")
# Ensure contents is a list
if not isinstance(contents, list):
raise TypeError(f"Expected list from GitHub API, got {type(contents).__name__}: {contents}")
files = []
for item in contents:
if item["type"] == "file":
@@ -144,15 +53,6 @@ class GitHubLoader(BaseRemote):
documents = []
for file_path in files:
content = self.fetch_file_content(repo_name, file_path)
# Skip binary files (content is None)
if content is None:
continue
documents.append(Document(
text=content,
doc_id=file_path,
extra_info={
"title": file_path,
"source": f"https://github.com/{repo_name}/blob/main/{file_path}"
}
))
documents.append(Document(page_content=content, metadata={"title": file_path,
"source": f"https://github.com/{repo_name}/blob/main/{file_path}"}))
return documents

View File

@@ -10,7 +10,6 @@ ebooklib==0.18
escodegen==1.0.11
esprima==4.0.1
esutils==1.0.1
elevenlabs==2.17.0
Flask==3.1.1
faiss-cpu==1.9.0.post1
fastmcp==2.11.0

View File

@@ -1,26 +0,0 @@
import click
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.seed.seeder import DatabaseSeeder
@click.group()
def seed():
"""Database seeding commands"""
pass
@seed.command()
@click.option("--force", is_flag=True, help="Force reseeding even if data exists")
def init(force):
"""Initialize database with seed data"""
mongo = MongoDB.get_client()
db = mongo[settings.MONGO_DB_NAME]
seeder = DatabaseSeeder(db)
seeder.seed_initial_data(force=force)
if __name__ == "__main__":
seed()

View File

@@ -1,36 +0,0 @@
# Configuration for Premade Agents
# This file contains template agents that will be seeded into the database
agents:
# Basic Agent Template
- name: "Agent Name" # Required: Unique name for the agent
description: "What this agent does" # Required: Brief description of the agent's purpose
image: "URL_TO_IMAGE" # Optional: URL to agent's avatar/image
agent_type: "classic" # Required: Type of agent (e.g., classic, react, etc.)
prompt_id: "default" # Optional: Reference to prompt template
prompt: # Optional: Define new prompt
name: "New Prompt"
content: "You are new agent with cool new prompt."
chunks: "0" # Optional: Chunking strategy for documents
retriever: "" # Optional: Retriever type for document search
# Source Configuration (where the agent gets its knowledge)
source: # Optional: Select a source to link with agent
name: "Source Display Name" # Human-readable name for the source
url: "https://example.com/data-source" # URL or path to knowledge source
loader: "url" # Type of loader (url, pdf, txt, etc.)
# Tools Configuration (what capabilities the agent has)
tools: # Optional: Remove if agent doesn't need tools
- name: "tool_name" # Must match a supported tool name
display_name: "Tool Display Name" # Optional: Human-readable name for the tool
config:
# Tool-specific configuration
# Example for DuckDuckGo:
# token: "${DDG_API_KEY}" # ${} denotes environment variable
# Add more tools as needed
# - name: "another_tool"
# config:
# param1: "value1"
# param2: "${ENV_VAR}"

View File

@@ -1,94 +0,0 @@
# Configuration for Premade Agents
agents:
- name: "Assistant"
description: "Your general-purpose AI assistant. Ready to help with a wide range of tasks."
image: "https://d3dg1063dc54p9.cloudfront.net/imgs/agents/agent-logo.svg"
agent_type: "classic"
prompt_id: "default"
chunks: "0"
retriever: ""
# Tools Configuration
tools:
- name: "tool_name"
display_name: "read_webpage"
config:
- name: "Researcher"
description: "A specialized research agent that performs deep dives into subjects."
image: "https://d3dg1063dc54p9.cloudfront.net/imgs/agents/agent-researcher.svg"
agent_type: "react"
prompt:
name: "Researcher-Agent"
content: |
You are a specialized AI research assistant, DocsGPT. Your primary function is to conduct in-depth research on a given subject or question. You are methodical, thorough, and analytical. You should perform multiple iterations of thinking to gather and synthesize information before providing a final, comprehensive answer.
You have access to the 'Read Webpage' tool. Use this tool to explore sources, gather data, and deepen your understanding. Be proactive in using the tool to fill in knowledge gaps and validate information.
Users can Upload documents for your context as attachments or sources via UI using the Conversation input box.
If appropriate, your answers can include code examples, formatted as follows:
```(language)
(code)
```
Users are also able to see charts and diagrams if you use them with valid mermaid syntax in your responses. Try to respond with mermaid charts if visualization helps with users queries. You effectively utilize chat history, ensuring relevant and tailored responses. Try to use additional provided context if it's available, otherwise use your knowledge and tool capabilities.
----------------
Possible additional context from uploaded sources:
{summaries}
chunks: "0"
retriever: ""
# Tools Configuration
tools:
- name: "tool_name"
display_name: "read_webpage"
config:
- name: "Search Widget"
description: "A powerful search widget agent. Ask it anything about DocsGPT"
image: "https://d3dg1063dc54p9.cloudfront.net/imgs/agents/agent-search.svg"
agent_type: "classic"
prompt:
name: "Search-Agent"
content: |
You are a website search assistant, DocsGPT. Your sole purpose is to help users find information within the provided context of the DocsGPT documentation. Act as a specialized search engine.
Your answers must be based *only* on the provided context. Do not use any external knowledge. If the answer is not in the context, inform the user that you could not find the information within the documentation.
Keep your responses concise and directly related to the user's query, pointing them to the most relevant information.
----------------
Possible additional context from uploaded sources:
{summaries}
chunks: "8"
retriever: ""
source:
name: "DocsGPT-Docs"
url: "https://d3dg1063dc54p9.cloudfront.net/agent-source/docsgpt-documentation.md" # URL to DocsGPT documentation
loader: "url"
- name: "Support Widget"
description: "A friendly support widget agent to help you with any questions."
image: "https://d3dg1063dc54p9.cloudfront.net/imgs/agents/agent-support.svg"
agent_type: "classic"
prompt:
name: "Support-Agent"
content: |
You are a helpful AI support widget agent, DocsGPT. Your goal is to assist users by answering their questions about our website, product and its features. Provide friendly, clear, and direct support.
Your knowledge is strictly limited to the provided context from the DocsGPT documentation. You must not answer questions outside of this scope. If a user asks something you cannot answer from the context, politely state that you can only help with questions about this website.
Effectively utilize chat history to understand the user's issue fully. Guide users to the information they need in a helpful and conversational manner.
----------------
Possible additional context from uploaded sources:
{summaries}
chunks: "8"
retriever: ""
source:
name: "DocsGPT-Docs"
url: "https://d3dg1063dc54p9.cloudfront.net/agent-source/docsgpt-documentation.md" # URL to DocsGPT documentation
loader: "url"

View File

@@ -1,277 +0,0 @@
import logging
import os
from datetime import datetime, timezone
from typing import Dict, List, Optional, Union
import yaml
from bson import ObjectId
from bson.dbref import DBRef
from dotenv import load_dotenv
from pymongo import MongoClient
from application.agents.tools.tool_manager import ToolManager
from application.api.user.tasks import ingest_remote
load_dotenv()
tool_config = {}
tool_manager = ToolManager(config=tool_config)
class DatabaseSeeder:
def __init__(self, db):
self.db = db
self.tools_collection = self.db["user_tools"]
self.sources_collection = self.db["sources"]
self.agents_collection = self.db["agents"]
self.prompts_collection = self.db["prompts"]
self.system_user_id = "system"
self.logger = logging.getLogger(__name__)
def seed_initial_data(self, config_path: str = None, force=False):
"""Main entry point for seeding all initial data"""
if not force and self._is_already_seeded():
self.logger.info("Database already seeded. Use force=True to reseed.")
return
config_path = config_path or os.path.join(
os.path.dirname(__file__), "config", "premade_agents.yaml"
)
try:
with open(config_path, "r") as f:
config = yaml.safe_load(f)
self._seed_from_config(config)
except Exception as e:
self.logger.error(f"Failed to load seeding config: {str(e)}")
raise
def _seed_from_config(self, config: Dict):
"""Seed all data from configuration"""
self.logger.info("🌱 Starting seeding...")
if not config.get("agents"):
self.logger.warning("No agents found in config")
return
used_tool_ids = set()
for agent_config in config["agents"]:
try:
self.logger.info(f"Processing agent: {agent_config['name']}")
# 1. Handle Source
source_result = self._handle_source(agent_config)
if source_result is False:
self.logger.error(
f"Skipping agent {agent_config['name']} due to source ingestion failure"
)
continue
source_id = source_result
# 2. Handle Tools
tool_ids = self._handle_tools(agent_config)
if len(tool_ids) == 0:
self.logger.warning(
f"No valid tools for agent {agent_config['name']}"
)
used_tool_ids.update(tool_ids)
# 3. Handle Prompt
prompt_id = self._handle_prompt(agent_config)
# 4. Create Agent
agent_data = {
"user": self.system_user_id,
"name": agent_config["name"],
"description": agent_config["description"],
"image": agent_config.get("image", ""),
"source": (
DBRef("sources", ObjectId(source_id)) if source_id else ""
),
"tools": [str(tid) for tid in tool_ids],
"agent_type": agent_config["agent_type"],
"prompt_id": prompt_id or agent_config.get("prompt_id", "default"),
"chunks": agent_config.get("chunks", "0"),
"retriever": agent_config.get("retriever", ""),
"status": "template",
"createdAt": datetime.now(timezone.utc),
"updatedAt": datetime.now(timezone.utc),
}
existing = self.agents_collection.find_one(
{"user": self.system_user_id, "name": agent_config["name"]}
)
if existing:
self.logger.info(f"Updating existing agent: {agent_config['name']}")
self.agents_collection.update_one(
{"_id": existing["_id"]}, {"$set": agent_data}
)
agent_id = existing["_id"]
else:
self.logger.info(f"Creating new agent: {agent_config['name']}")
result = self.agents_collection.insert_one(agent_data)
agent_id = result.inserted_id
self.logger.info(
f"Successfully processed agent: {agent_config['name']} (ID: {agent_id})"
)
except Exception as e:
self.logger.error(
f"Error processing agent {agent_config['name']}: {str(e)}"
)
continue
self.logger.info("✅ Database seeding completed")
def _handle_source(self, agent_config: Dict) -> Union[ObjectId, None, bool]:
"""Handle source ingestion and return source ID"""
if not agent_config.get("source"):
self.logger.info(
"No source provided for agent - will create agent without source"
)
return None
source_config = agent_config["source"]
self.logger.info(f"Ingesting source: {source_config['url']}")
try:
existing = self.sources_collection.find_one(
{"user": self.system_user_id, "remote_data": source_config["url"]}
)
if existing:
self.logger.info(f"Source already exists: {existing['_id']}")
return existing["_id"]
# Ingest new source using worker
task = ingest_remote.delay(
source_data=source_config["url"],
job_name=source_config["name"],
user=self.system_user_id,
loader=source_config.get("loader", "url"),
)
result = task.get(timeout=300)
if not task.successful():
raise Exception(f"Source ingestion failed: {result}")
source_id = None
if isinstance(result, dict) and "id" in result:
source_id = result["id"]
else:
raise Exception(f"Source ingestion result missing 'id': {result}")
self.logger.info(f"Source ingested successfully: {source_id}")
return source_id
except Exception as e:
self.logger.error(f"Failed to ingest source: {str(e)}")
return False
def _handle_tools(self, agent_config: Dict) -> List[ObjectId]:
"""Handle tool creation and return list of tool IDs"""
tool_ids = []
if not agent_config.get("tools"):
return tool_ids
for tool_config in agent_config["tools"]:
try:
tool_name = tool_config["name"]
processed_config = self._process_config(tool_config.get("config", {}))
self.logger.info(f"Processing tool: {tool_name}")
existing = self.tools_collection.find_one(
{
"user": self.system_user_id,
"name": tool_name,
"config": processed_config,
}
)
if existing:
self.logger.info(f"Tool already exists: {existing['_id']}")
tool_ids.append(existing["_id"])
continue
tool_data = {
"user": self.system_user_id,
"name": tool_name,
"displayName": tool_config.get("display_name", tool_name),
"description": tool_config.get("description", ""),
"actions": tool_manager.tools[tool_name].get_actions_metadata(),
"config": processed_config,
"status": True,
}
result = self.tools_collection.insert_one(tool_data)
tool_ids.append(result.inserted_id)
self.logger.info(f"Created new tool: {result.inserted_id}")
except Exception as e:
self.logger.error(f"Failed to process tool {tool_name}: {str(e)}")
continue
return tool_ids
def _handle_prompt(self, agent_config: Dict) -> Optional[str]:
"""Handle prompt creation and return prompt ID"""
if not agent_config.get("prompt"):
return None
prompt_config = agent_config["prompt"]
prompt_name = prompt_config.get("name", f"{agent_config['name']} Prompt")
prompt_content = prompt_config.get("content", "")
if not prompt_content:
self.logger.warning(
f"No prompt content provided for agent {agent_config['name']}"
)
return None
self.logger.info(f"Processing prompt: {prompt_name}")
try:
existing = self.prompts_collection.find_one(
{
"user": self.system_user_id,
"name": prompt_name,
"content": prompt_content,
}
)
if existing:
self.logger.info(f"Prompt already exists: {existing['_id']}")
return str(existing["_id"])
prompt_data = {
"name": prompt_name,
"content": prompt_content,
"user": self.system_user_id,
}
result = self.prompts_collection.insert_one(prompt_data)
prompt_id = str(result.inserted_id)
self.logger.info(f"Created new prompt: {prompt_id}")
return prompt_id
except Exception as e:
self.logger.error(f"Failed to process prompt {prompt_name}: {str(e)}")
return None
def _process_config(self, config: Dict) -> Dict:
"""Process config values to replace environment variables"""
processed = {}
for key, value in config.items():
if (
isinstance(value, str)
and value.startswith("${")
and value.endswith("}")
):
env_var = value[2:-1]
processed[key] = os.getenv(env_var, "")
else:
processed[key] = value
return processed
def _is_already_seeded(self) -> bool:
"""Check if premade agents already exist"""
return self.agents_collection.count_documents({"user": self.system_user_id}) > 0
@classmethod
def initialize_from_env(cls, worker=None):
"""Factory method to create seeder from environment"""
mongo_uri = os.getenv("MONGO_URI", "mongodb://localhost:27017")
db_name = os.getenv("MONGO_DB_NAME", "docsgpt")
client = MongoClient(mongo_uri)
db = client[db_name]
return cls(db)

View File

@@ -15,11 +15,10 @@ class ElevenlabsTTS(BaseTTS):
def text_to_speech(self, text):
lang = "en"
audio = self.client.text_to_speech.convert(
voice_id="nPczCjzI2devNBz1zQrb",
model_id="eleven_multilingual_v2",
audio = self.client.generate(
text=text,
output_format="mp3_44100_128"
model="eleven_multilingual_v2",
voice="Brian",
)
audio_data = BytesIO()
for chunk in audio:

View File

@@ -1,18 +0,0 @@
from application.tts.google_tts import GoogleTTS
from application.tts.elevenlabs import ElevenlabsTTS
from application.tts.base import BaseTTS
class TTSCreator:
tts_providers = {
"google_tts": GoogleTTS,
"elevenlabs": ElevenlabsTTS,
}
@classmethod
def create_tts(cls, tts_type, *args, **kwargs)-> BaseTTS:
tts_class = cls.tts_providers.get(tts_type.lower())
if not tts_class:
raise ValueError(f"No tts class found for type {tts_type}")
return tts_class(*args, **kwargs)

View File

@@ -21,7 +21,7 @@ def get_encoding():
def get_gpt_model() -> str:
"""Get GPT model based on provider"""
"""Get the appropriate GPT model based on provider"""
model_map = {
"openai": "gpt-4o-mini",
"anthropic": "claude-2",
@@ -32,7 +32,16 @@ def get_gpt_model() -> str:
def safe_filename(filename):
"""Create safe filename, preserving extension. Handles non-Latin characters."""
"""
Creates a safe filename that preserves the original extension.
Uses secure_filename, but ensures a proper filename is returned even with non-Latin characters.
Args:
filename (str): The original filename
Returns:
str: A safe filename that can be used for storage
"""
if not filename:
return str(uuid.uuid4())
_, extension = os.path.splitext(filename)
@@ -74,14 +83,8 @@ def count_tokens_docs(docs):
return tokens
def get_missing_fields(data, required_fields):
"""Check for missing required fields. Returns list of missing field names."""
return [field for field in required_fields if field not in data]
def check_required_fields(data, required_fields):
"""Validate required fields. Returns Flask 400 response if validation fails, None otherwise."""
missing_fields = get_missing_fields(data, required_fields)
missing_fields = [field for field in required_fields if field not in data]
if missing_fields:
return make_response(
jsonify(
@@ -95,8 +98,7 @@ def check_required_fields(data, required_fields):
return None
def get_field_validation_errors(data, required_fields):
"""Check for missing and empty fields. Returns dict with 'missing_fields' and 'empty_fields', or None."""
def validate_required_fields(data, required_fields):
missing_fields = []
empty_fields = []
@@ -105,24 +107,12 @@ def get_field_validation_errors(data, required_fields):
missing_fields.append(field)
elif not data[field]:
empty_fields.append(field)
if missing_fields or empty_fields:
return {"missing_fields": missing_fields, "empty_fields": empty_fields}
return None
def validate_required_fields(data, required_fields):
"""Validate required fields (must exist and be non-empty). Returns Flask 400 response if validation fails, None otherwise."""
errors_dict = get_field_validation_errors(data, required_fields)
if errors_dict:
errors = []
if errors_dict["missing_fields"]:
errors.append(
f"Missing required fields: {', '.join(errors_dict['missing_fields'])}"
)
if errors_dict["empty_fields"]:
errors.append(
f"Empty values in required fields: {', '.join(errors_dict['empty_fields'])}"
)
errors = []
if missing_fields:
errors.append(f"Missing required fields: {', '.join(missing_fields)}")
if empty_fields:
errors.append(f"Empty values in required fields: {', '.join(empty_fields)}")
if errors:
return make_response(
jsonify({"success": False, "message": " | ".join(errors)}), 400
)
@@ -134,7 +124,10 @@ def get_hash(data):
def limit_chat_history(history, max_token_limit=None, gpt_model="docsgpt"):
"""Limit chat history to fit within token limit."""
"""
Limits chat history based on token count.
Returns a list of messages that fit within the token limit.
"""
from application.core.settings import settings
max_token_limit = (
@@ -168,17 +161,13 @@ def limit_chat_history(history, max_token_limit=None, gpt_model="docsgpt"):
def validate_function_name(function_name):
"""Validate function name matches allowed pattern (alphanumeric, underscore, hyphen)."""
"""Validates if a function name matches the allowed pattern."""
if not re.match(r"^[a-zA-Z0-9_-]+$", function_name):
return False
return True
def generate_image_url(image_path):
if isinstance(image_path, str) and (
image_path.startswith("http://") or image_path.startswith("https://")
):
return image_path
strategy = getattr(settings, "URL_STRATEGY", "backend")
if strategy == "s3":
bucket_name = getattr(settings, "S3_BUCKET_NAME", "docsgpt-test-bucket")

View File

@@ -39,7 +39,6 @@ sources_collection = db["sources"]
# Constants
MIN_TOKENS = 150
MAX_TOKENS = 1250
RECURSION_DEPTH = 2
@@ -741,13 +740,7 @@ def remote_worker(
if os.path.exists(full_path):
shutil.rmtree(full_path)
logging.info("remote_worker task completed successfully")
return {
"id": str(id),
"urls": source_data,
"name_job": name_job,
"user": user,
"limited": False,
}
return {"urls": source_data, "name_job": name_job, "user": user, "limited": False}
def sync(

View File

@@ -72,4 +72,4 @@ services:
- mongodb_data_container:/data/db
volumes:
mongodb_data_container:
mongodb_data_container:

View File

@@ -107,13 +107,3 @@ Once an agent is created, you can:
* Modify any of its configuration settings (name, description, source, prompt, tools, type).
* **Generate a Public Link:** From the edit screen, you can create a shareable public link that allows others to import and use your agent.
* **Get a Webhook URL:** You can also obtain a Webhook URL for the agent. This allows external applications or services to trigger the agent and receive responses programmatically, enabling powerful integrations and automations.
## Seeding Premade Agents from YAML
You can bootstrap a fresh DocsGPT deployment with a curated set of agents by seeding them directly into MongoDB.
1. **Customize the configuration** edit `application/seed/config/premade_agents.yaml` (or copy from `application/seed/config/agents_template.yaml`) to describe the agents you want to provision. Each entry lets you define prompts, tools, and optional data sources.
2. **Ensure dependencies are running** MongoDB must be reachable using the credentials in `.env`, and a Celery worker should be available if any agent sources need to be ingested via `ingest_remote`.
3. **Execute the seeder** run `python -m application.seed.commands init`. Add `--force` when you need to reseed an existing environment.
The seeder keeps templates under the `system` user so they appear in the UI for anyone to clone or customize. Environment variable placeholders such as `${MY_TOKEN}` inside tool configs are resolved during the seeding process.

View File

@@ -42,7 +42,7 @@ To run the DocsGPT backend locally, you'll need to set up a Python environment a
* **Option 1: Using a `.env` file (Recommended):**
* If you haven't already, create a file named `.env` in the **root directory** of your DocsGPT project.
* Modify the `.env` file to adjust settings as needed. You can find a comprehensive list of configurable options in [`application/core/settings.py`](https://github.com/arc53/DocsGPT/blob/main/application/core/settings.py).
* Modify the `.env` file to adjust settings as needed. You can find a comprehensive list of configurable options in [`application/core/settings.py`](application/core/settings.py).
* **Option 2: Exporting Environment Variables:**
* Alternatively, you can export environment variables directly in your terminal. However, using a `.env` file is generally more organized for development.
@@ -67,7 +67,7 @@ To run the DocsGPT backend locally, you'll need to set up a Python environment a
3. **Download Embedding Model:**
The backend requires an embedding model. Download the `mpnet-base-v2` model and place it in the `models/` directory within the project root. You can use the following script:
The backend requires an embedding model. Download the `mpnet-base-v2` model and place it in the `model/` directory within the project root. You can use the following script:
```bash
wget https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip
@@ -75,7 +75,7 @@ To run the DocsGPT backend locally, you'll need to set up a Python environment a
rm mpnet-base-v2.zip
```
Alternatively, you can manually download the zip file from [here](https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip), unzip it, and place the extracted folder in `models/`.
Alternatively, you can manually download the zip file from [here](https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip), unzip it, and place the extracted folder in `model/`.
4. **Install Backend Dependencies:**
@@ -160,4 +160,4 @@ To run the DocsGPT frontend locally, you'll need Node.js and npm (Node Package M
This command will start the Vite development server. The frontend application will typically be accessible at [http://localhost:5173/](http://localhost:5173/). The terminal will display the exact URL where the frontend is running.
With both the backend and frontend running, you should now have a fully functional DocsGPT development environment. You can access the application in your browser at [http://localhost:5173/](http://localhost:5173/) and start developing!
With both the backend and frontend running, you should now have a fully functional DocsGPT development environment. You can access the application in your browser at [http://localhost:5173/](http://localhost:5173/) and start developing!

View File

@@ -43,8 +43,7 @@ The easiest way to launch DocsGPT is using the provided `setup.sh` script. This
2) Serve Local (with Ollama)
3) Connect Local Inference Engine
4) Connect Cloud API Provider
5) Advanced: Build images locally (for developers)
Choose option (1-5):
Choose option (1-4):
```
Let's break down each option:
@@ -57,8 +56,6 @@ The easiest way to launch DocsGPT is using the provided `setup.sh` script. This
* **4) Connect Cloud API Provider:** This option lets you connect DocsGPT to a commercial Cloud API provider such as OpenAI, Google (Vertex AI/Gemini), Anthropic (Claude), Groq, HuggingFace Inference API, or Azure OpenAI. You will need an API key from your chosen provider. Select this if you prefer to use a powerful cloud-based LLM.
* **5) Modify DocsGPT's source code and rebuild the Docker images locally. Instead of pulling prebuilt images from Docker Hub or using the hosted/public API, you build the entire backend and frontend from source, customizing how DocsGPT works internally, or run it in an environment without internet access.
After selecting an option and providing any required information (like API keys or model names), the script will configure your `.env` file and start DocsGPT using Docker Compose.
4. **Access DocsGPT in your browser:**

View File

@@ -1,6 +1,4 @@
# Please put appropriate value
VITE_BASE_URL=http://localhost:5173
VITE_API_HOST=http://127.0.0.1:7091
VITE_API_STREAMING=true
VITE_NOTIFICATION_TEXT="What's new in 0.14.0 — Changelog"
VITE_NOTIFICATION_LINK="#"
VITE_API_STREAMING=true

View File

@@ -15,7 +15,7 @@
"i18next": "^25.5.3",
"i18next-browser-languagedetector": "^8.0.2",
"lodash": "^4.17.21",
"mermaid": "^11.12.0",
"mermaid": "^11.6.0",
"prop-types": "^15.8.1",
"react": "^19.1.0",
"react-chartjs-2": "^5.3.0",
@@ -90,22 +90,22 @@
}
},
"node_modules/@antfu/install-pkg": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-1.1.0.tgz",
"integrity": "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ==",
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-1.0.0.tgz",
"integrity": "sha512-xvX6P/lo1B3ej0OsaErAjqgFYzYVcJpamjLAFLYh9vRJngBrMoUG7aVnrGTeqM7yxbyTD5p3F2+0/QUEh8Vzhw==",
"license": "MIT",
"dependencies": {
"package-manager-detector": "^1.3.0",
"tinyexec": "^1.0.1"
"package-manager-detector": "^0.2.8",
"tinyexec": "^0.3.2"
},
"funding": {
"url": "https://github.com/sponsors/antfu"
}
},
"node_modules/@antfu/utils": {
"version": "9.3.0",
"resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-9.3.0.tgz",
"integrity": "sha512-9hFT4RauhcUzqOE4f1+frMKLZrgNog5b06I7VmZQV1BkvwvqrbC8EBZf3L1eEL2AKb6rNKjER0sEvJiSP1FXEA==",
"version": "8.1.1",
"resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-8.1.1.tgz",
"integrity": "sha512-Mex9nXf9vR6AhcXmMrlz/HVgYYZpVGJ6YlPgwl7UnaFpnshXs6EK/oa5Gpf3CzENMjkvEx2tQtntGnb7UtSTOQ==",
"license": "MIT",
"funding": {
"url": "https://github.com/sponsors/antfu"
@@ -957,18 +957,18 @@
"license": "MIT"
},
"node_modules/@iconify/utils": {
"version": "3.0.2",
"resolved": "https://registry.npmjs.org/@iconify/utils/-/utils-3.0.2.tgz",
"integrity": "sha512-EfJS0rLfVuRuJRn4psJHtK2A9TqVnkxPpHY6lYHiB9+8eSuudsxbwMiavocG45ujOo6FJ+CIRlRnlOGinzkaGQ==",
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/@iconify/utils/-/utils-2.3.0.tgz",
"integrity": "sha512-GmQ78prtwYW6EtzXRU1rY+KwOKfz32PD7iJh6Iyqw68GiKuoZ2A6pRtzWONz5VQJbp50mEjXh/7NkumtrAgRKA==",
"license": "MIT",
"dependencies": {
"@antfu/install-pkg": "^1.1.0",
"@antfu/utils": "^9.2.0",
"@antfu/install-pkg": "^1.0.0",
"@antfu/utils": "^8.1.0",
"@iconify/types": "^2.0.0",
"debug": "^4.4.1",
"globals": "^15.15.0",
"debug": "^4.4.0",
"globals": "^15.14.0",
"kolorist": "^1.8.0",
"local-pkg": "^1.1.1",
"local-pkg": "^1.0.0",
"mlly": "^1.7.4"
}
},
@@ -1053,9 +1053,9 @@
"integrity": "sha512-fuscdXJ9G1qb7W8VdHi+IwRqij3lBkosAm4ydQtEmbY58OzHXqQhvlxqEkoz0yssNVn38bcpRWgA9PP+OGoisw=="
},
"node_modules/@mermaid-js/parser": {
"version": "0.6.3",
"resolved": "https://registry.npmjs.org/@mermaid-js/parser/-/parser-0.6.3.tgz",
"integrity": "sha512-lnjOhe7zyHjc+If7yT4zoedx2vo4sHaTmtkl1+or8BRTnCtDmcTpAjpzDSfCZrshM5bCoz0GyidzadJAH1xobA==",
"version": "0.4.0",
"resolved": "https://registry.npmjs.org/@mermaid-js/parser/-/parser-0.4.0.tgz",
"integrity": "sha512-wla8XOWvQAwuqy+gxiZqY+c7FokraOTHRWMsbB4AgRx9Sy7zKslNyejy7E+a77qHfey5GXw/ik3IXv/NHMJgaA==",
"license": "MIT",
"dependencies": {
"langium": "3.3.1"
@@ -2856,9 +2856,9 @@
}
},
"node_modules/acorn": {
"version": "8.15.0",
"resolved": "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz",
"integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
"version": "8.14.1",
"resolved": "https://registry.npmjs.org/acorn/-/acorn-8.14.1.tgz",
"integrity": "sha512-OvQ/2pUDKmgfCg++xsTX1wGxfTaszcHVcTctW4UJB4hibJx2HXxxO5UmVgyjMa+ZDsiaf5wWLXYpRWMmBI0QHg==",
"license": "MIT",
"bin": {
"acorn": "bin/acorn"
@@ -4141,16 +4141,15 @@
}
},
"node_modules/dayjs": {
"version": "1.11.18",
"resolved": "https://registry.npmjs.org/dayjs/-/dayjs-1.11.18.tgz",
"integrity": "sha512-zFBQ7WFRvVRhKcWoUh+ZA1g2HVgUbsZm9sbddh8EC5iv93sui8DVVz1Npvz+r6meo9VKfa8NyLWBsQK1VvIKPA==",
"version": "1.11.13",
"resolved": "https://registry.npmjs.org/dayjs/-/dayjs-1.11.13.tgz",
"integrity": "sha512-oaMBel6gjolK862uaPQOVTA7q3TZhuSvuMQAAglQDOWYO9A91IrAOUJEyKVlqJlHE0vq5p5UXxzdPfMH/x6xNg==",
"license": "MIT"
},
"node_modules/debug": {
"version": "4.4.3",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
"integrity": "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA==",
"license": "MIT",
"version": "4.4.0",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz",
"integrity": "sha512-6WTZ/IxCY/T6BALoZHaE4ctp9xm+Z5kY/pzYaCHRFeyVhojxlrm+46y68HA6hr0TcwEssoxNiDEUJQjfPZ/RYA==",
"dependencies": {
"ms": "^2.1.3"
},
@@ -5327,9 +5326,9 @@
}
},
"node_modules/exsolve": {
"version": "1.0.7",
"resolved": "https://registry.npmjs.org/exsolve/-/exsolve-1.0.7.tgz",
"integrity": "sha512-VO5fQUzZtI6C+vx4w/4BWJpg3s/5l+6pRQEHzFRM8WFi4XffSP1Z+4qi7GbjWbvRQEbdIco5mIMq+zX4rPuLrw==",
"version": "1.0.4",
"resolved": "https://registry.npmjs.org/exsolve/-/exsolve-1.0.4.tgz",
"integrity": "sha512-xsZH6PXaER4XoV+NiT7JHp1bJodJVT+cxeSH1G0f0tlT0lJqYuHUP3bUx2HtfTDvOagMINYp8rsqusxud3RXhw==",
"license": "MIT"
},
"node_modules/extend": {
@@ -6910,14 +6909,13 @@
}
},
"node_modules/katex": {
"version": "0.16.23",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.23.tgz",
"integrity": "sha512-7VlC1hsEEolL9xNO05v9VjrvWZePkCVBJqj8ruICxYjZfHaHbaU53AlP+PODyFIXEnaEIEWi3wJy7FPZ95JAVg==",
"version": "0.16.21",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.21.tgz",
"integrity": "sha512-XvqR7FgOHtWupfMiigNzmh+MgUVmDGU2kXZm899ZkPfcuoPuFxyHmXsgATDpFZDAXCI8tvinaVcDo8PIIJSo4A==",
"funding": [
"https://opencollective.com/katex",
"https://github.com/sponsors/katex"
],
"license": "MIT",
"dependencies": {
"commander": "^8.3.0"
},
@@ -7282,14 +7280,14 @@
}
},
"node_modules/local-pkg": {
"version": "1.1.2",
"resolved": "https://registry.npmjs.org/local-pkg/-/local-pkg-1.1.2.tgz",
"integrity": "sha512-arhlxbFRmoQHl33a0Zkle/YWlmNwoyt6QNZEIJcqNbdrsix5Lvc4HyyI3EnwxTYlZYc32EbYrQ8SzEZ7dqgg9A==",
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/local-pkg/-/local-pkg-1.1.1.tgz",
"integrity": "sha512-WunYko2W1NcdfAFpuLUoucsgULmgDBRkdxHxWQ7mK0cQqwPiy8E1enjuRBrhLtZkB5iScJ1XIPdhVEFK8aOLSg==",
"license": "MIT",
"dependencies": {
"mlly": "^1.7.4",
"pkg-types": "^2.3.0",
"quansync": "^0.2.11"
"pkg-types": "^2.0.1",
"quansync": "^0.2.8"
},
"engines": {
"node": ">=14"
@@ -7485,15 +7483,15 @@
}
},
"node_modules/marked": {
"version": "16.4.0",
"resolved": "https://registry.npmjs.org/marked/-/marked-16.4.0.tgz",
"integrity": "sha512-CTPAcRBq57cn3R8n3hwc2REddc28hjR7RzDXQ+lXLmMJYqn20BaI2cGw6QjgZGIgVfp2Wdfw4aMzgNteQ6qJgQ==",
"version": "15.0.7",
"resolved": "https://registry.npmjs.org/marked/-/marked-15.0.7.tgz",
"integrity": "sha512-dgLIeKGLx5FwziAnsk4ONoGwHwGPJzselimvlVskE9XLN4Orv9u2VA3GWw/lYUqjfA0rUT/6fqKwfZJapP9BEg==",
"license": "MIT",
"bin": {
"marked": "bin/marked.js"
},
"engines": {
"node": ">= 20"
"node": ">= 18"
}
},
"node_modules/math-intrinsics": {
@@ -7929,14 +7927,14 @@
}
},
"node_modules/mermaid": {
"version": "11.12.0",
"resolved": "https://registry.npmjs.org/mermaid/-/mermaid-11.12.0.tgz",
"integrity": "sha512-ZudVx73BwrMJfCFmSSJT84y6u5brEoV8DOItdHomNLz32uBjNrelm7mg95X7g+C6UoQH/W6mBLGDEDv73JdxBg==",
"version": "11.6.0",
"resolved": "https://registry.npmjs.org/mermaid/-/mermaid-11.6.0.tgz",
"integrity": "sha512-PE8hGUy1LDlWIHWBP05SFdqUHGmRcCcK4IzpOKPE35eOw+G9zZgcnMpyunJVUEOgb//KBORPjysKndw8bFLuRg==",
"license": "MIT",
"dependencies": {
"@braintree/sanitize-url": "^7.1.1",
"@iconify/utils": "^3.0.1",
"@mermaid-js/parser": "^0.6.2",
"@braintree/sanitize-url": "^7.0.4",
"@iconify/utils": "^2.1.33",
"@mermaid-js/parser": "^0.4.0",
"@types/d3": "^7.4.3",
"cytoscape": "^3.29.3",
"cytoscape-cose-bilkent": "^4.1.0",
@@ -7944,12 +7942,12 @@
"d3": "^7.9.0",
"d3-sankey": "^0.12.3",
"dagre-d3-es": "7.0.11",
"dayjs": "^1.11.18",
"dompurify": "^3.2.5",
"katex": "^0.16.22",
"dayjs": "^1.11.13",
"dompurify": "^3.2.4",
"katex": "^0.16.9",
"khroma": "^2.1.0",
"lodash-es": "^4.17.21",
"marked": "^16.2.1",
"marked": "^15.0.7",
"roughjs": "^4.6.6",
"stylis": "^4.3.6",
"ts-dedent": "^2.2.0",
@@ -8608,15 +8606,15 @@
}
},
"node_modules/mlly": {
"version": "1.8.0",
"resolved": "https://registry.npmjs.org/mlly/-/mlly-1.8.0.tgz",
"integrity": "sha512-l8D9ODSRWLe2KHJSifWGwBqpTZXIXTeo8mlKjY+E2HAakaTeNpqAyBZ8GSqLzHgw4XmHmC8whvpjJNMbFZN7/g==",
"version": "1.7.4",
"resolved": "https://registry.npmjs.org/mlly/-/mlly-1.7.4.tgz",
"integrity": "sha512-qmdSIPC4bDJXgZTCR7XosJiNKySV7O215tsPtDN9iEO/7q/76b/ijtgRu/+epFXSJhijtTCCGp3DWS549P3xKw==",
"license": "MIT",
"dependencies": {
"acorn": "^8.15.0",
"pathe": "^2.0.3",
"pkg-types": "^1.3.1",
"ufo": "^1.6.1"
"acorn": "^8.14.0",
"pathe": "^2.0.1",
"pkg-types": "^1.3.0",
"ufo": "^1.5.4"
}
},
"node_modules/mlly/node_modules/confbox": {
@@ -8925,10 +8923,13 @@
}
},
"node_modules/package-manager-detector": {
"version": "1.4.0",
"resolved": "https://registry.npmjs.org/package-manager-detector/-/package-manager-detector-1.4.0.tgz",
"integrity": "sha512-rRZ+pR1Usc+ND9M2NkmCvE/LYJS+8ORVV9X0KuNSY/gFsp7RBHJM/ADh9LYq4Vvfq6QkKrW6/weuh8SMEtN5gw==",
"license": "MIT"
"version": "0.2.11",
"resolved": "https://registry.npmjs.org/package-manager-detector/-/package-manager-detector-0.2.11.tgz",
"integrity": "sha512-BEnLolu+yuz22S56CU1SUKq3XC3PkwD5wv4ikR4MfGvnRVcmzXR9DwSlW2fEamyTPyXHomBJRzgapeuBvRNzJQ==",
"license": "MIT",
"dependencies": {
"quansync": "^0.2.7"
}
},
"node_modules/parent-module": {
"version": "1.0.1",
@@ -9083,13 +9084,13 @@
}
},
"node_modules/pkg-types": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/pkg-types/-/pkg-types-2.3.0.tgz",
"integrity": "sha512-SIqCzDRg0s9npO5XQ3tNZioRY1uK06lA41ynBC1YmFTmnY6FjUjVt6s4LoADmwoig1qqD0oK8h1p/8mlMx8Oig==",
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/pkg-types/-/pkg-types-2.1.0.tgz",
"integrity": "sha512-wmJwA+8ihJixSoHKxZJRBQG1oY8Yr9pGLzRmSsNms0iNWyHHAlZCa7mmKiFR10YPZuz/2k169JiS/inOjBCZ2A==",
"license": "MIT",
"dependencies": {
"confbox": "^0.2.2",
"exsolve": "^1.0.7",
"confbox": "^0.2.1",
"exsolve": "^1.0.1",
"pathe": "^2.0.3"
}
},
@@ -9301,9 +9302,9 @@
}
},
"node_modules/quansync": {
"version": "0.2.11",
"resolved": "https://registry.npmjs.org/quansync/-/quansync-0.2.11.tgz",
"integrity": "sha512-AifT7QEbW9Nri4tAwR5M/uzpBuqfZf+zwaEM/QkzEjj7NBuFD2rBuy0K3dE+8wltbezDV7JMA0WfnCPYRSYbXA==",
"version": "0.2.10",
"resolved": "https://registry.npmjs.org/quansync/-/quansync-0.2.10.tgz",
"integrity": "sha512-t41VRkMYbkHyCYmOvx/6URnN80H7k4X0lLdBMGsz+maAwrJQYB1djpV6vHrQIBE0WBSGqhtEHrK9U3DWWH8v7A==",
"funding": [
{
"type": "individual",
@@ -10538,9 +10539,9 @@
"dev": true
},
"node_modules/tinyexec": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.0.1.tgz",
"integrity": "sha512-5uC6DDlmeqiOwCPmK9jMSdOuZTh8bU39Ys6yidB+UTt5hfZUPGAypSgFRiEp+jbi9qH40BLDvy85jIU88wKSqw==",
"version": "0.3.2",
"resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-0.3.2.tgz",
"integrity": "sha512-KQQR9yN7R5+OSwaK0XQoj22pwHoTlgYqmUscPYoknOoWCWfj/5/ABTMRi69FrKU5ffPVh5QcFikpWJI/P1ocHA==",
"license": "MIT"
},
"node_modules/tinyglobby": {
@@ -10790,9 +10791,9 @@
}
},
"node_modules/ufo": {
"version": "1.6.1",
"resolved": "https://registry.npmjs.org/ufo/-/ufo-1.6.1.tgz",
"integrity": "sha512-9a4/uxlTWJ4+a5i0ooc1rU7C7YOw3wT+UGqdeNNHWnOF9qcMBgLRS+4IYUqbczewFx4mLEig6gawh7X6mFlEkA==",
"version": "1.5.4",
"resolved": "https://registry.npmjs.org/ufo/-/ufo-1.5.4.tgz",
"integrity": "sha512-UsUk3byDzKd04EyoZ7U4DOlxQaD14JUKQl6/P7wiX4FNvUfm3XL246n9W5AmqwW5RSFJ27NAuM0iLscAOYUiGQ==",
"license": "MIT"
},
"node_modules/unbox-primitive": {

View File

@@ -26,7 +26,7 @@
"i18next": "^25.5.3",
"i18next-browser-languagedetector": "^8.0.2",
"lodash": "^4.17.21",
"mermaid": "^11.12.0",
"mermaid": "^11.6.0",
"prop-types": "^15.8.1",
"react": "^19.1.0",
"react-chartjs-2": "^5.3.0",

View File

@@ -15,7 +15,6 @@ import useTokenAuth from './hooks/useTokenAuth';
import Navigation from './Navigation';
import PageNotFound from './PageNotFound';
import Setting from './settings';
import Notification from './components/Notification';
function AuthWrapper({ children }: { children: React.ReactNode }) {
const { isAuthLoading } = useTokenAuth();
@@ -53,27 +52,11 @@ function MainLayout() {
}
export default function App() {
const [, , componentMounted] = useDarkTheme();
const [showNotification, setShowNotification] = useState<boolean>(() => {
const saved = localStorage.getItem('showNotification');
return saved ? JSON.parse(saved) : true;
});
const notificationText = import.meta.env.VITE_NOTIFICATION_TEXT;
const notificationLink = import.meta.env.VITE_NOTIFICATION_LINK;
if (!componentMounted) {
return <div />;
}
return (
<div className="relative h-full overflow-hidden">
{notificationLink && notificationText && showNotification && (
<Notification
notificationText={notificationText}
notificationLink={notificationLink}
handleCloseNotification={() => {
setShowNotification(false);
localStorage.setItem('showNotification', 'false');
}}
/>
)}
<Routes>
<Route
element={

View File

@@ -9,8 +9,7 @@ import userService from './api/services/userService';
import Add from './assets/add.svg';
import DocsGPT3 from './assets/cute_docsgpt3.svg';
import Discord from './assets/discord.svg';
import PanelLeftClose from './assets/panel-left-close.svg';
import PanelLeftOpen from './assets/panel-left-open.svg';
import Expand from './assets/expand.svg';
import Github from './assets/git_nav.svg';
import Hamburger from './assets/hamburger.svg';
import openNewChat from './assets/openNewChat.svg';
@@ -303,20 +302,18 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
{
<div className="absolute top-3 left-3 z-20 hidden transition-all duration-300 ease-in-out lg:block">
<div className="flex items-center gap-3">
{!navOpen && (
<button
onClick={() => {
setNavOpen(!navOpen);
}}
className="transition-transform duration-200 hover:scale-110"
>
<img
src={PanelLeftOpen}
alt="Open navigation menu"
className="m-auto transition-all duration-300 ease-in-out"
/>
</button>
)}
<button
onClick={() => {
setNavOpen(!navOpen);
}}
className="transition-transform duration-200 hover:scale-110"
>
<img
src={Expand}
alt="Toggle navigation menu"
className="m-auto transition-all duration-300 ease-in-out"
/>
</button>
{queries?.length > 0 && (
<button
onClick={() => {
@@ -366,8 +363,8 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
}}
>
<img
src={navOpen ? PanelLeftClose : PanelLeftOpen}
alt={navOpen ? 'Collapse sidebar' : 'Expand sidebar'}
src={Expand}
alt="Toggle navigation menu"
className="m-auto transition-all duration-300 ease-in-out hover:scale-110"
/>
</button>
@@ -402,7 +399,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
{conversations?.loading && !isDeletingConversation && (
<div className="absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 transform">
<img
src={isDarkTheme ? Spinner : SpinnerDark}
src={isDarkTheme ? SpinnerDark : Spinner}
className="animate-spin cursor-pointer bg-transparent"
alt="Loading conversations"
/>

View File

@@ -1,22 +1,14 @@
import { SyntheticEvent, useRef, useState } from 'react';
import { useRef, useState } from 'react';
import { useDispatch, useSelector } from 'react-redux';
import { useNavigate } from 'react-router-dom';
import userService from '../api/services/userService';
import Duplicate from '../assets/duplicate.svg';
import Edit from '../assets/edit.svg';
import Link from '../assets/link-gray.svg';
import Monitoring from '../assets/monitoring.svg';
import Pin from '../assets/pin.svg';
import Trash from '../assets/red-trash.svg';
import ThreeDots from '../assets/three-dots.svg';
import UnPin from '../assets/unpin.svg';
import AgentImage from '../components/AgentImage';
import ThreeDots from '../assets/three-dots.svg';
import ContextMenu, { MenuOption } from '../components/ContextMenu';
import ConfirmationModal from '../modals/ConfirmationModal';
import { ActiveState } from '../models/misc';
import {
selectAgents,
selectToken,
setAgents,
setSelectedAgent,
@@ -26,205 +18,46 @@ import { Agent } from './types';
type AgentCardProps = {
agent: Agent;
agents: Agent[];
updateAgents?: (agents: Agent[]) => void;
section: string;
menuOptions?: MenuOption[];
onDelete?: (agentId: string) => void;
};
export default function AgentCard({
agent,
agents,
updateAgents,
section,
menuOptions,
onDelete,
}: AgentCardProps) {
const navigate = useNavigate();
const dispatch = useDispatch();
const token = useSelector(selectToken);
const userAgents = useSelector(selectAgents);
const [isMenuOpen, setIsMenuOpen] = useState<boolean>(false);
const [isMenuOpen, setIsMenuOpen] = useState(false);
const [deleteConfirmation, setDeleteConfirmation] =
useState<ActiveState>('INACTIVE');
const menuRef = useRef<HTMLDivElement>(null);
const menuOptionsConfig: Record<string, MenuOption[]> = {
template: [
{
icon: Duplicate,
label: 'Duplicate',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
handleDuplicate();
},
variant: 'primary',
iconWidth: 18,
iconHeight: 18,
},
],
user: [
{
icon: Monitoring,
label: 'Logs',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/logs/${agent.id}`);
},
variant: 'primary',
iconWidth: 14,
iconHeight: 14,
},
{
icon: Edit,
label: 'Edit',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/edit/${agent.id}`);
},
variant: 'primary',
iconWidth: 14,
iconHeight: 14,
},
...(agent.status === 'published'
? [
{
icon: agent.pinned ? UnPin : Pin,
label: agent.pinned ? 'Unpin' : 'Pin agent',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
togglePin();
},
variant: 'primary' as const,
iconWidth: 18,
iconHeight: 18,
},
]
: []),
{
icon: Trash,
label: 'Delete',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
setDeleteConfirmation('ACTIVE');
},
variant: 'danger',
iconWidth: 13,
iconHeight: 13,
},
],
shared: [
{
icon: Link,
label: 'Open',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/shared/${agent.shared_token}`);
},
variant: 'primary',
iconWidth: 12,
iconHeight: 12,
},
{
icon: agent.pinned ? UnPin : Pin,
label: agent.pinned ? 'Unpin' : 'Pin agent',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
togglePin();
},
variant: 'primary',
iconWidth: 18,
iconHeight: 18,
},
{
icon: Trash,
label: 'Remove',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
handleHideSharedAgent();
},
variant: 'danger',
iconWidth: 13,
iconHeight: 13,
},
],
};
const menuOptions = menuOptionsConfig[section] || [];
const handleClick = () => {
if (section === 'user') {
if (agent.status === 'published') {
dispatch(setSelectedAgent(agent));
navigate(`/`);
}
}
if (section === 'shared') {
navigate(`/agents/shared/${agent.shared_token}`);
const handleCardClick = () => {
if (agent.status === 'published') {
dispatch(setSelectedAgent(agent));
navigate('/');
}
};
const togglePin = async () => {
try {
const response = await userService.togglePinAgent(agent.id ?? '', token);
if (!response.ok) throw new Error('Failed to pin agent');
const updatedAgents = agents.map((prevAgent) => {
if (prevAgent.id === agent.id)
return { ...prevAgent, pinned: !prevAgent.pinned };
return prevAgent;
});
updateAgents?.(updatedAgents);
} catch (error) {
console.error('Error:', error);
}
const defaultDelete = async (agentId: string) => {
const response = await userService.deleteAgent(agentId, token);
if (!response.ok) throw new Error('Failed to delete agent');
const data = await response.json();
dispatch(setAgents(agents.filter((prevAgent) => prevAgent.id !== data.id)));
};
const handleHideSharedAgent = async () => {
try {
const response = await userService.removeSharedAgent(
agent.id ?? '',
token,
);
if (!response.ok) throw new Error('Failed to hide shared agent');
const updatedAgents = agents.filter(
(prevAgent) => prevAgent.id !== agent.id,
);
updateAgents?.(updatedAgents);
} catch (error) {
console.error('Error:', error);
}
};
const handleDelete = async () => {
try {
const response = await userService.deleteAgent(agent.id ?? '', token);
if (!response.ok) throw new Error('Failed to delete agent');
const updatedAgents = agents.filter(
(prevAgent) => prevAgent.id !== agent.id,
);
updateAgents?.(updatedAgents);
} catch (error) {
console.error('Error:', error);
}
};
const handleDuplicate = async () => {
try {
const response = await userService.adoptAgent(agent.id ?? '', token);
if (!response.ok) throw new Error('Failed to duplicate agent');
const data = await response.json();
if (userAgents) {
const updatedAgents = [...userAgents, data.agent];
dispatch(setAgents(updatedAgents));
} else dispatch(setAgents([data.agent]));
} catch (error) {
console.error('Error:', error);
}
};
return (
<div
className={`relative flex h-44 w-full flex-col justify-between rounded-[1.2rem] bg-[#F6F6F6] px-6 py-5 hover:bg-[#ECECEC] md:w-48 dark:bg-[#383838] dark:hover:bg-[#383838]/80 ${agent.status === 'published' && 'cursor-pointer'}`}
onClick={(e) => {
e.stopPropagation();
handleClick();
}}
className={`relative flex h-44 w-48 flex-col justify-between rounded-[1.2rem] bg-[#F6F6F6] px-6 py-5 hover:bg-[#ECECEC] dark:bg-[#383838] dark:hover:bg-[#383838]/80 ${
agent.status === 'published' ? 'cursor-pointer' : ''
}`}
onClick={handleCardClick}
>
<div
ref={menuRef}
@@ -234,16 +67,19 @@ export default function AgentCard({
}}
className="absolute top-4 right-4 z-10 cursor-pointer"
>
<img src={ThreeDots} alt={'use-agent'} className="h-[19px] w-[19px]" />
<ContextMenu
isOpen={isMenuOpen}
setIsOpen={setIsMenuOpen}
options={menuOptions}
anchorRef={menuRef}
position="bottom-right"
offset={{ x: 0, y: 0 }}
/>
<img src={ThreeDots} alt="options" className="h-[19px] w-[19px]" />
{menuOptions && (
<ContextMenu
isOpen={isMenuOpen}
setIsOpen={setIsMenuOpen}
options={menuOptions}
anchorRef={menuRef}
position="top-right"
offset={{ x: 0, y: 0 }}
/>
)}
</div>
<div className="w-full">
<div className="flex w-full items-center gap-1 px-1">
<AgentImage
@@ -252,7 +88,9 @@ export default function AgentCard({
className="h-7 w-7 rounded-full object-contain"
/>
{agent.status === 'draft' && (
<p className="text-xs text-black opacity-50 dark:text-[#E0E0E0]">{`(Draft)`}</p>
<p className="text-xs text-black opacity-50 dark:text-[#E0E0E0]">
(Draft)
</p>
)}
</div>
<div className="mt-2">
@@ -267,13 +105,14 @@ export default function AgentCard({
</p>
</div>
</div>
<ConfirmationModal
message="Are you sure you want to delete this agent?"
modalState={deleteConfirmation}
setModalState={setDeleteConfirmation}
submitLabel="Delete"
handleSubmit={() => {
handleDelete();
onDelete ? onDelete(agent.id || '') : defaultDelete(agent.id || '');
setDeleteConfirmation('INACTIVE');
}}
cancelLabel="Cancel"

View File

@@ -109,18 +109,18 @@ export default function AgentPreview() {
} else setLastQueryReturnedErr(false);
}, [queries]);
return (
<div className="relative h-full w-full">
<div className="scrollbar-thin absolute inset-0 bottom-[180px] overflow-hidden px-4 pt-4 [&>div>div]:!w-full [&>div>div]:!max-w-none">
<ConversationMessages
handleQuestion={handleQuestion}
handleQuestionSubmission={handleQuestionSubmission}
queries={queries}
status={status}
showHeroOnEmpty={false}
/>
</div>
<div className="absolute right-0 bottom-0 left-0 flex w-full flex-col gap-4 pb-2">
<div className="w-full px-4">
<div>
<div className="dark:bg-raisin-black flex h-full flex-col items-center justify-between gap-2 overflow-y-hidden">
<div className="h-[512px] w-full overflow-y-auto">
<ConversationMessages
handleQuestion={handleQuestion}
handleQuestionSubmission={handleQuestionSubmission}
queries={queries}
status={status}
showHeroOnEmpty={false}
/>
</div>
<div className="flex w-[95%] max-w-[1500px] flex-col items-center gap-4 pb-2 md:w-9/12 lg:w-8/12 xl:w-8/12 2xl:w-6/12">
<MessageInput
onSubmit={(text) => handleQuestionSubmission(text)}
loading={status === 'loading'}
@@ -128,11 +128,11 @@ export default function AgentPreview() {
showToolButton={selectedAgent ? false : true}
autoFocus={false}
/>
<p className="text-gray-4000 dark:text-sonic-silver w-full self-center bg-transparent pt-2 text-center text-xs md:inline">
This is a preview of the agent. You can publish it to start using it
in conversations.
</p>
</div>
<p className="text-gray-4000 dark:text-sonic-silver w-full bg-transparent text-center text-xs md:inline">
This is a preview of the agent. You can publish it to start using it
in conversations.
</p>
</div>
</div>
);

View File

@@ -1,134 +0,0 @@
import { useEffect, useState } from 'react';
import { useDispatch, useSelector } from 'react-redux';
import { useNavigate } from 'react-router-dom';
import Spinner from '../components/Spinner';
import {
setConversation,
updateConversationId,
} from '../conversation/conversationSlice';
import {
selectSelectedAgent,
selectToken,
setSelectedAgent,
} from '../preferences/preferenceSlice';
import AgentCard from './AgentCard';
import { agentSectionsConfig } from './agents.config';
import { Agent } from './types';
export default function AgentsList() {
const dispatch = useDispatch();
const token = useSelector(selectToken);
const selectedAgent = useSelector(selectSelectedAgent);
useEffect(() => {
dispatch(setConversation([]));
dispatch(
updateConversationId({
query: { conversationId: null },
}),
);
if (selectedAgent) dispatch(setSelectedAgent(null));
}, [token]);
return (
<div className="p-4 md:p-12">
<h1 className="text-eerie-black mb-0 text-[32px] font-bold lg:text-[40px] dark:text-[#E0E0E0]">
Agents
</h1>
<p className="dark:text-gray-4000 mt-5 text-[15px] text-[#71717A]">
Discover and create custom versions of DocsGPT that combine
instructions, extra knowledge, and any combination of skills
</p>
{agentSectionsConfig.map((sectionConfig) => (
<AgentSection key={sectionConfig.id} config={sectionConfig} />
))}
</div>
);
}
function AgentSection({
config,
}: {
config: (typeof agentSectionsConfig)[number];
}) {
const navigate = useNavigate();
const dispatch = useDispatch();
const token = useSelector(selectToken);
const agents = useSelector(config.selectData);
const [loading, setLoading] = useState(true);
const updateAgents = (updatedAgents: Agent[]) => {
dispatch(config.updateAction(updatedAgents));
};
useEffect(() => {
const getAgents = async () => {
setLoading(true);
try {
const response = await config.fetchAgents(token);
if (!response.ok)
throw new Error(`Failed to fetch ${config.id} agents`);
const data = await response.json();
dispatch(config.updateAction(data));
} catch (error) {
console.error(`Error fetching ${config.id} agents:`, error);
dispatch(config.updateAction([]));
} finally {
setLoading(false);
}
};
getAgents();
}, [token, config, dispatch]);
return (
<div className="mt-8 flex flex-col gap-4">
<div className="flex w-full items-center justify-between">
<div className="flex flex-col gap-2">
<h2 className="text-[18px] font-semibold text-[#18181B] dark:text-[#E0E0E0]">
{config.title}
</h2>
<p className="text-[13px] text-[#71717A]">{config.description}</p>
</div>
{config.showNewAgentButton && (
<button
className="bg-purple-30 hover:bg-violets-are-blue rounded-full px-4 py-2 text-sm text-white"
onClick={() => navigate('/agents/new')}
>
New Agent
</button>
)}
</div>
<div>
{loading ? (
<div className="flex h-72 w-full items-center justify-center">
<Spinner />
</div>
) : agents && agents.length > 0 ? (
<div className="grid grid-cols-1 gap-4 sm:flex sm:flex-wrap">
{agents.map((agent) => (
<AgentCard
key={agent.id}
agent={agent}
agents={agents}
updateAgents={updateAgents}
section={config.id}
/>
))}
</div>
) : (
<div className="flex h-72 w-full flex-col items-center justify-center gap-3 text-base text-[#18181B] dark:text-[#E0E0E0]">
<p>{config.emptyStateDescription}</p>
{config.showNewAgentButton && (
<button
className="bg-purple-30 hover:bg-violets-are-blue ml-2 rounded-full px-4 py-2 text-sm text-white"
onClick={() => navigate('/agents/new')}
>
New Agent
</button>
)}
</div>
)}
</div>
</div>
);
}

View File

@@ -23,7 +23,7 @@ import PromptsModal from '../preferences/PromptsModal';
import Prompts from '../settings/Prompts';
import { UserToolType } from '../settings/types';
import AgentPreview from './AgentPreview';
import { Agent, ToolSummary } from './types';
import { Agent } from './types';
const embeddingsName =
import.meta.env.VITE_EMBEDDINGS_NAME ||
@@ -53,10 +53,6 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
agent_type: 'classic',
status: '',
json_schema: undefined,
limited_token_mode: false,
token_limit: undefined,
limited_request_mode: false,
request_limit: undefined,
});
const [imageFile, setImageFile] = useState<File | null>(null);
const [prompts, setPrompts] = useState<
@@ -68,7 +64,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const [selectedSourceIds, setSelectedSourceIds] = useState<
Set<string | number>
>(new Set());
const [selectedTools, setSelectedTools] = useState<ToolSummary[]>([]);
const [selectedToolIds, setSelectedToolIds] = useState<Set<string | number>>(
new Set(),
);
const [deleteConfirmation, setDeleteConfirmation] =
useState<ActiveState>('INACTIVE');
const [agentDetails, setAgentDetails] = useState<ActiveState>('INACTIVE');
@@ -78,8 +76,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const [publishLoading, setPublishLoading] = useState(false);
const [jsonSchemaText, setJsonSchemaText] = useState('');
const [jsonSchemaValid, setJsonSchemaValid] = useState(true);
const [isAdvancedSectionExpanded, setIsAdvancedSectionExpanded] =
useState(false);
const [isJsonSchemaExpanded, setIsJsonSchemaExpanded] = useState(false);
const initialAgentRef = useRef<Agent | null>(null);
const sourceAnchorButtonRef = useRef<HTMLButtonElement>(null);
@@ -196,16 +193,6 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
formData.append('agent_type', agent.agent_type);
formData.append('status', 'draft');
if (agent.limited_token_mode && agent.token_limit) {
formData.append('limited_token_mode', 'True');
formData.append('token_limit', JSON.stringify(agent.token_limit));
} else formData.append('token_limit', '0');
if (agent.limited_request_mode && agent.request_limit) {
formData.append('limited_request_mode', 'True');
formData.append('request_limit', JSON.stringify(agent.request_limit));
} else formData.append('request_limit', '0');
if (imageFile) formData.append('image', imageFile);
if (agent.tools && agent.tools.length > 0)
@@ -295,16 +282,6 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
formData.append('json_schema', JSON.stringify(agent.json_schema));
}
if (agent.limited_token_mode && agent.token_limit) {
formData.append('limited_token_mode', 'True');
formData.append('token_limit', JSON.stringify(agent.token_limit));
} else formData.append('token_limit', '0');
if (agent.limited_request_mode && agent.request_limit) {
formData.append('limited_request_mode', 'True');
formData.append('request_limit', JSON.stringify(agent.request_limit));
} else formData.append('request_limit', '0');
try {
setPublishLoading(true);
const response =
@@ -360,7 +337,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const data = await response.json();
const tools: OptionType[] = data.tools.map((tool: UserToolType) => ({
id: tool.id,
label: tool.customName ? tool.customName : tool.displayName,
label: tool.displayName,
icon: `/toolIcons/tool_${tool.name}.svg`,
}));
setUserTools(tools);
@@ -433,7 +410,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
setSelectedSourceIds(new Set([data.retriever]));
}
if (data.tool_details) setSelectedTools(data.tool_details);
if (data.tools) setSelectedToolIds(new Set(data.tools));
if (data.status === 'draft') setEffectiveMode('draft');
if (data.json_schema) {
const jsonText = JSON.stringify(data.json_schema, null, 2);
@@ -503,13 +480,16 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
}, [selectedSourceIds]);
useEffect(() => {
const selectedTool = Array.from(selectedToolIds).map((id) =>
userTools.find((tool) => tool.id === id),
);
setAgent((prev) => ({
...prev,
tools: Array.from(selectedTools)
tools: selectedTool
.map((tool) => tool?.id)
.filter((id): id is string => typeof id === 'string'),
}));
}, [selectedTools]);
}, [selectedToolIds]);
useEffect(() => {
if (isPublishable()) dispatch(setSelectedAgent(agent));
@@ -534,7 +514,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
setHasChanges(isChanged);
}, [agent, dispatch, effectiveMode, imageFile, jsonSchemaText]);
return (
<div className="flex flex-col px-4 pt-4 pb-2 max-[1179px]:min-h-[100dvh] min-[1180px]:h-[100dvh] md:px-12 md:pt-12 md:pb-3">
<div className="p-4 md:p-12">
<div className="flex items-center gap-3 px-4">
<button
className="rounded-full border p-3 text-sm text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34]"
@@ -615,9 +595,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
</button>
</div>
</div>
<div className="mt-3 flex w-full flex-1 grid-cols-5 flex-col gap-10 rounded-[30px] bg-[#F6F6F6] p-5 max-[1179px]:overflow-visible min-[1180px]:grid min-[1180px]:gap-5 min-[1180px]:overflow-hidden dark:bg-[#383838]">
<div className="scrollbar-thin col-span-2 flex flex-col gap-5 max-[1179px]:overflow-visible min-[1180px]:max-h-full min-[1180px]:overflow-y-auto min-[1180px]:pr-3">
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="mt-5 flex w-full grid-cols-5 flex-col gap-10 min-[1180px]:grid min-[1180px]:gap-5">
<div className="col-span-2 flex flex-col gap-5">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<h2 className="text-lg font-semibold">Meta</h2>
<input
className="border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-3 w-full rounded-3xl border bg-white px-5 py-3 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E]"
@@ -650,7 +630,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
/>
</div>
</div>
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<h2 className="text-lg font-semibold">Source</h2>
<div className="mt-3">
<div className="flex flex-wrap items-center gap-1">
@@ -665,15 +645,15 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
>
{selectedSourceIds.size > 0
? Array.from(selectedSourceIds)
.map((id) => {
const matchedDoc = sourceDocs?.find(
(source) =>
source.id === id ||
source.name === id ||
source.retriever === id,
);
return matchedDoc?.name || `External KB`;
})
.map(
(id) =>
sourceDocs?.find(
(source) =>
source.id === id ||
source.name === id ||
source.retriever === id,
)?.name,
)
.filter(Boolean)
.join(', ')
: 'Select sources'}
@@ -744,7 +724,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
</div>
</div>
</div>
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<div className="flex flex-wrap items-end gap-1">
<div className="min-w-20 grow basis-full sm:basis-0">
<Prompts
@@ -781,21 +761,23 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
</button>
</div>
</div>
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<h2 className="text-lg font-semibold">Tools</h2>
<div className="mt-3 flex flex-wrap items-center gap-1">
<button
ref={toolAnchorButtonRef}
onClick={() => setIsToolsPopupOpen(!isToolsPopupOpen)}
className={`border-silver dark:bg-raisin-black w-full truncate rounded-3xl border bg-white px-5 py-3 text-left text-sm dark:border-[#7E7E7E] ${
selectedTools.length > 0
selectedToolIds.size > 0
? 'text-jet dark:text-bright-gray'
: 'dark:text-silver text-gray-400'
}`}
>
{selectedTools.length > 0
? selectedTools
.map((tool) => tool.display_name || tool.name)
{selectedToolIds.size > 0
? Array.from(selectedToolIds)
.map(
(id) => userTools.find((tool) => tool.id === id)?.label,
)
.filter(Boolean)
.join(', ')
: 'Select tools'}
@@ -805,17 +787,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
onClose={() => setIsToolsPopupOpen(false)}
anchorRef={toolAnchorButtonRef}
options={userTools}
selectedIds={new Set(selectedTools.map((tool) => tool.id))}
selectedIds={selectedToolIds}
onSelectionChange={(newSelectedIds: Set<string | number>) =>
setSelectedTools(
userTools
.filter((tool) => newSelectedIds.has(tool.id))
.map((tool) => ({
id: String(tool.id),
name: tool.label,
display_name: tool.label,
})),
)
setSelectedToolIds(newSelectedIds)
}
title="Select Tools"
searchPlaceholder="Search tools..."
@@ -823,7 +797,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
/>
</div>
</div>
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<h2 className="text-lg font-semibold">Agent type</h2>
<div className="mt-3">
<Dropdown
@@ -848,11 +822,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
/>
</div>
</div>
<div className="dark:bg-raisin-black rounded-[30px] bg-white px-6 py-3 dark:text-[#E0E0E0]">
<div className="rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<button
onClick={() =>
setIsAdvancedSectionExpanded(!isAdvancedSectionExpanded)
}
onClick={() => setIsJsonSchemaExpanded(!isJsonSchemaExpanded)}
className="flex w-full items-center justify-between text-left focus:outline-none"
>
<div>
@@ -861,7 +833,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
<div className="ml-4 flex items-center">
<svg
className={`h-5 w-5 transform transition-transform duration-200 ${
isAdvancedSectionExpanded ? 'rotate-180' : ''
isJsonSchemaExpanded ? 'rotate-180' : ''
}`}
fill="none"
stroke="currentColor"
@@ -876,7 +848,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
</svg>
</div>
</button>
{isAdvancedSectionExpanded && (
{isJsonSchemaExpanded && (
<div className="mt-3">
<div>
<h2 className="text-sm font-medium">JSON response schema</h2>
@@ -919,124 +891,13 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
: 'Invalid JSON - fix to enable saving'}
</div>
)}
<div className="mt-6">
<div className="flex items-center justify-between">
<div>
<h2 className="text-sm font-medium">Token limiting</h2>
<p className="mt-1 text-xs text-gray-600 dark:text-gray-400">
Limit daily total tokens that can be used by this agent
</p>
</div>
<button
onClick={() => {
const newTokenMode = !agent.limited_token_mode;
setAgent({
...agent,
limited_token_mode: newTokenMode,
limited_request_mode: newTokenMode
? false
: agent.limited_request_mode,
});
}}
className={`relative h-6 w-11 rounded-full transition-colors ${
agent.limited_token_mode
? 'bg-purple-30'
: 'bg-gray-300 dark:bg-gray-600'
}`}
>
<span
className={`absolute top-0.5 h-5 w-5 transform rounded-full bg-white transition-transform ${
agent.limited_token_mode ? '' : '-translate-x-5'
}`}
/>
</button>
</div>
<input
type="number"
min="0"
value={agent.token_limit || ''}
onChange={(e) =>
setAgent({
...agent,
token_limit: e.target.value
? parseInt(e.target.value)
: undefined,
})
}
disabled={!agent.limited_token_mode}
placeholder="Enter token limit"
className={`border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-2 w-full rounded-3xl border bg-white px-5 py-3 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E] ${
!agent.limited_token_mode
? 'cursor-not-allowed opacity-50'
: ''
}`}
/>
</div>
<div className="mt-6">
<div className="flex items-center justify-between">
<div>
<h2 className="text-sm font-medium">Request limiting</h2>
<p className="mt-1 text-xs text-gray-600 dark:text-gray-400">
Limit daily total requests that can be made to this
agent
</p>
</div>
<button
onClick={() => {
const newRequestMode = !agent.limited_request_mode;
setAgent({
...agent,
limited_request_mode: newRequestMode,
limited_token_mode: newRequestMode
? false
: agent.limited_token_mode,
});
}}
className={`relative h-6 w-11 rounded-full transition-colors ${
agent.limited_request_mode
? 'bg-purple-30'
: 'bg-gray-300 dark:bg-gray-600'
}`}
>
<span
className={`absolute top-0.5 h-5 w-5 transform rounded-full bg-white transition-transform ${
agent.limited_request_mode ? '' : '-translate-x-5'
}`}
/>
</button>
</div>
<input
type="number"
min="0"
value={agent.request_limit || ''}
onChange={(e) =>
setAgent({
...agent,
request_limit: e.target.value
? parseInt(e.target.value)
: undefined,
})
}
disabled={!agent.limited_request_mode}
placeholder="Enter request limit"
className={`border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-2 w-full rounded-3xl border bg-white px-5 py-3 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E] ${
!agent.limited_request_mode
? 'cursor-not-allowed opacity-50'
: ''
}`}
/>
</div>
</div>
)}
</div>
</div>
<div className="col-span-3 flex flex-col gap-2 max-[1179px]:h-auto max-[1179px]:px-0 max-[1179px]:py-0 min-[1180px]:h-full min-[1180px]:py-2 dark:text-[#E0E0E0]">
<div className="col-span-3 flex flex-col gap-3 rounded-[30px] bg-[#F6F6F6] px-6 py-3 dark:bg-[#383838] dark:text-[#E0E0E0]">
<h2 className="text-lg font-semibold">Preview</h2>
<div className="flex-1 max-[1179px]:overflow-visible min-[1180px]:min-h-0 min-[1180px]:overflow-hidden">
<AgentPreviewArea />
</div>
<AgentPreviewArea />
</div>
</div>
<ConfirmationModal
@@ -1073,9 +934,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
function AgentPreviewArea() {
const selectedAgent = useSelector(selectSelectedAgent);
return (
<div className="dark:bg-raisin-black w-full rounded-[30px] border border-[#F6F6F6] bg-white max-[1179px]:h-[600px] min-[1180px]:h-full dark:border-[#7E7E7E]">
<div className="dark:bg-raisin-black h-full w-full rounded-[30px] border border-[#F6F6F6] bg-white max-[1180px]:h-192 dark:border-[#7E7E7E]">
{selectedAgent?.status === 'published' ? (
<div className="flex h-full w-full flex-col overflow-hidden rounded-[30px]">
<div className="flex h-full w-full flex-col justify-end overflow-auto rounded-[30px]">
<AgentPreview />
</div>
) : (

View File

@@ -177,15 +177,13 @@ export default function SharedAgent() {
/>
</div>
<div className="flex w-[95%] max-w-[1500px] flex-col items-center pb-2 md:w-9/12 lg:w-8/12 xl:w-8/12 2xl:w-6/12">
<div className="w-full px-2">
<MessageInput
onSubmit={(text) => handleQuestionSubmission(text)}
loading={status === 'loading'}
showSourceButton={sharedAgent ? false : true}
showToolButton={sharedAgent ? false : true}
autoFocus={false}
/>
</div>
<MessageInput
onSubmit={(text) => handleQuestionSubmission(text)}
loading={status === 'loading'}
showSourceButton={sharedAgent ? false : true}
showToolButton={sharedAgent ? false : true}
autoFocus={false}
/>
<p className="text-gray-4000 dark:text-sonic-silver hidden w-screen self-center bg-transparent py-2 text-center text-xs md:inline md:w-full">
{t('tagline')}
</p>

View File

@@ -2,12 +2,6 @@ import AgentImage from '../components/AgentImage';
import { Agent } from './types';
export default function SharedAgentCard({ agent }: { agent: Agent }) {
// Check if shared metadata exists and has properties (type is 'any' so we validate it's a non-empty object)
const hasSharedMetadata =
agent.shared_metadata &&
typeof agent.shared_metadata === 'object' &&
agent.shared_metadata !== null &&
Object.keys(agent.shared_metadata).length > 0;
return (
<div className="border-dark-gray dark:border-grey flex w-full max-w-[720px] flex-col rounded-3xl border p-6 shadow-xs sm:w-fit sm:min-w-[480px]">
<div className="flex items-center gap-3">
@@ -26,7 +20,7 @@ export default function SharedAgentCard({ agent }: { agent: Agent }) {
</p>
</div>
</div>
{hasSharedMetadata && (
{agent.shared_metadata && (
<div className="mt-4 flex items-center gap-8">
{agent.shared_metadata?.shared_by && (
<p className="text-eerie-black text-xs font-light sm:text-sm dark:text-[#E0E0E0]">

View File

@@ -1,20 +1,19 @@
import { createAsyncThunk, createSlice, PayloadAction } from '@reduxjs/toolkit';
import {
handleFetchAnswer,
handleFetchAnswerSteaming,
} from '../conversation/conversationHandlers';
import {
Answer,
ConversationState,
Query,
Status,
} from '../conversation/conversationModels';
import store from '../store';
import {
clearAttachments,
handleFetchAnswer,
handleFetchAnswerSteaming,
} from '../conversation/conversationHandlers';
import {
selectCompletedAttachments,
clearAttachments,
} from '../upload/uploadSlice';
import store from '../store';
const initialState: ConversationState = {
queries: [],
@@ -57,7 +56,7 @@ export const fetchPreviewAnswer = createAsyncThunk<
question,
signal,
state.preference.token,
state.preference.selectedDocs,
state.preference.selectedDocs!,
null, // No conversation ID for previews
state.preference.prompt.id,
state.preference.chunks,
@@ -128,7 +127,7 @@ export const fetchPreviewAnswer = createAsyncThunk<
question,
signal,
state.preference.token,
state.preference.selectedDocs,
state.preference.selectedDocs!,
null, // No conversation ID for previews
state.preference.prompt.id,
state.preference.chunks,

View File

@@ -1,42 +0,0 @@
import userService from '../api/services/userService';
import {
selectAgents,
selectTemplateAgents,
selectSharedAgents,
setAgents,
setTemplateAgents,
setSharedAgents,
} from '../preferences/preferenceSlice';
export const agentSectionsConfig = [
{
id: 'template',
title: 'By DocsGPT',
description: 'Agents provided by DocsGPT',
showNewAgentButton: false,
emptyStateDescription: 'No template agents found.',
fetchAgents: (token: string | null) => userService.getTemplateAgents(token),
selectData: selectTemplateAgents,
updateAction: setTemplateAgents,
},
{
id: 'user',
title: 'By me',
description: 'Agents created or published by you',
showNewAgentButton: true,
emptyStateDescription: 'You dont have any created agents yet.',
fetchAgents: (token: string | null) => userService.getAgents(token),
selectData: selectAgents,
updateAction: setAgents,
},
{
id: 'shared',
title: 'Shared with me',
description: 'Agents imported by using a public link',
showNewAgentButton: false,
emptyStateDescription: 'No shared agents found.',
fetchAgents: (token: string | null) => userService.getSharedAgents(token),
selectData: selectSharedAgents,
updateAction: setSharedAgents,
},
];

View File

@@ -1,9 +1,37 @@
import { Route, Routes } from 'react-router-dom';
import { SyntheticEvent, useEffect, useRef, useState } from 'react';
import { useDispatch, useSelector } from 'react-redux';
import { Route, Routes, useNavigate } from 'react-router-dom';
import userService from '../api/services/userService';
import Edit from '../assets/edit.svg';
import Link from '../assets/link-gray.svg';
import Monitoring from '../assets/monitoring.svg';
import Pin from '../assets/pin.svg';
import Trash from '../assets/red-trash.svg';
import AgentImage from '../components/AgentImage';
import ThreeDots from '../assets/three-dots.svg';
import UnPin from '../assets/unpin.svg';
import ContextMenu, { MenuOption } from '../components/ContextMenu';
import Spinner from '../components/Spinner';
import {
setConversation,
updateConversationId,
} from '../conversation/conversationSlice';
import ConfirmationModal from '../modals/ConfirmationModal';
import { ActiveState } from '../models/misc';
import {
selectAgents,
selectSelectedAgent,
selectSharedAgents,
selectToken,
setAgents,
setSelectedAgent,
setSharedAgents,
} from '../preferences/preferenceSlice';
import AgentLogs from './AgentLogs';
import AgentsList from './AgentsList';
import NewAgent from './NewAgent';
import SharedAgent from './SharedAgent';
import { Agent } from './types';
export default function Agents() {
return (
@@ -16,3 +44,427 @@ export default function Agents() {
</Routes>
);
}
const sectionConfig = {
user: {
title: 'By me',
description: 'Agents created or published by you',
showNewAgentButton: true,
emptyStateDescription: 'You dont have any created agents yet',
},
shared: {
title: 'Shared with me',
description: 'Agents imported by using a public link',
showNewAgentButton: false,
emptyStateDescription: 'No shared agents found',
},
};
function AgentsList() {
const dispatch = useDispatch();
const token = useSelector(selectToken);
const agents = useSelector(selectAgents);
const sharedAgents = useSelector(selectSharedAgents);
const selectedAgent = useSelector(selectSelectedAgent);
const [loadingUserAgents, setLoadingUserAgents] = useState<boolean>(true);
const [loadingSharedAgents, setLoadingSharedAgents] = useState<boolean>(true);
const getAgents = async () => {
try {
setLoadingUserAgents(true);
const response = await userService.getAgents(token);
if (!response.ok) throw new Error('Failed to fetch agents');
const data = await response.json();
dispatch(setAgents(data));
setLoadingUserAgents(false);
} catch (error) {
console.error('Error:', error);
setLoadingUserAgents(false);
}
};
const getSharedAgents = async () => {
try {
setLoadingSharedAgents(true);
const response = await userService.getSharedAgents(token);
if (!response.ok) throw new Error('Failed to fetch shared agents');
const data = await response.json();
dispatch(setSharedAgents(data));
setLoadingSharedAgents(false);
} catch (error) {
console.error('Error:', error);
setLoadingSharedAgents(false);
}
};
useEffect(() => {
getAgents();
getSharedAgents();
dispatch(setConversation([]));
dispatch(
updateConversationId({
query: { conversationId: null },
}),
);
if (selectedAgent) dispatch(setSelectedAgent(null));
}, [token]);
return (
<div className="p-4 md:p-12">
<h1 className="text-eerie-black mb-0 text-[32px] font-bold lg:text-[40px] dark:text-[#E0E0E0]">
Agents
</h1>
<p className="dark:text-gray-4000 mt-5 text-[15px] text-[#71717A]">
Discover and create custom versions of DocsGPT that combine
instructions, extra knowledge, and any combination of skills
</p>
{/* Premade agents section */}
{/* <div className="mt-6">
<h2 className="text-[18px] font-semibold text-[#18181B] dark:text-[#E0E0E0]">
Premade by DocsGPT
</h2>
<div className="mt-4 flex w-full flex-wrap gap-4">
{Array.from({ length: 5 }, (_, index) => (
<div
key={index}
className="relative flex h-44 w-48 flex-col justify-between rounded-[1.2rem] bg-[#F6F6F6] px-6 py-5 dark:bg-[#383838]"
>
<button onClick={() => {}} className="absolute right-4 top-4">
<img
src={Copy}
alt={'use-agent'}
className="h-[19px] w-[19px]"
/>
</button>
<div className="w-full">
<div className="flex w-full items-center px-1">
<AgentImage className="h-7 w-7 rounded-full" />
</div>
<div className="mt-2">
<p
title={''}
className="truncate px-1 text-[13px] font-semibold capitalize leading-relaxed text-raisin-black-light dark:text-bright-gray"
>
{}
</p>
<p className="mt-1 h-20 overflow-auto px-1 text-[12px] leading-relaxed text-old-silver dark:text-sonic-silver-light">
{}
</p>
</div>
</div>
<div className="absolute bottom-4 right-4"></div>
</div>
))}
</div>
</div> */}
<AgentSection
agents={agents ?? []}
updateAgents={(updatedAgents) => {
dispatch(setAgents(updatedAgents));
}}
loading={loadingUserAgents}
section="user"
/>
<AgentSection
agents={sharedAgents ?? []}
updateAgents={(updatedAgents) => {
dispatch(setSharedAgents(updatedAgents));
}}
loading={loadingSharedAgents}
section="shared"
/>
</div>
);
}
function AgentSection({
agents,
updateAgents,
loading,
section,
}: {
agents: Agent[];
updateAgents?: (agents: Agent[]) => void;
loading: boolean;
section: keyof typeof sectionConfig;
}) {
const navigate = useNavigate();
return (
<div className="mt-8 flex flex-col gap-4">
<div className="flex w-full items-center justify-between">
<div className="flex flex-col gap-2">
<h2 className="text-[18px] font-semibold text-[#18181B] dark:text-[#E0E0E0]">
{sectionConfig[section].title}
</h2>
<p className="text-[13px] text-[#71717A]">
{sectionConfig[section].description}
</p>
</div>
{sectionConfig[section].showNewAgentButton && (
<button
className="bg-purple-30 hover:bg-violets-are-blue rounded-full px-4 py-2 text-sm text-white"
onClick={() => navigate('/agents/new')}
>
New Agent
</button>
)}
</div>
<div>
{loading ? (
<div className="flex h-72 w-full items-center justify-center">
<Spinner />
</div>
) : agents && agents.length > 0 ? (
<div className="grid grid-cols-1 gap-4 sm:flex sm:flex-wrap">
{agents.map((agent, idx) => (
<AgentCard
key={agent.id}
agent={agent}
agents={agents}
updateAgents={updateAgents}
section={section}
/>
))}
</div>
) : (
<div className="flex h-72 w-full flex-col items-center justify-center gap-3 text-base text-[#18181B] dark:text-[#E0E0E0]">
<p>{sectionConfig[section].emptyStateDescription}</p>
{sectionConfig[section].showNewAgentButton && (
<button
className="bg-purple-30 hover:bg-violets-are-blue ml-2 rounded-full px-4 py-2 text-sm text-white"
onClick={() => navigate('/agents/new')}
>
New Agent
</button>
)}
</div>
)}
</div>
</div>
);
}
function AgentCard({
agent,
agents,
updateAgents,
section,
}: {
agent: Agent;
agents: Agent[];
updateAgents?: (agents: Agent[]) => void;
section: keyof typeof sectionConfig;
}) {
const navigate = useNavigate();
const dispatch = useDispatch();
const token = useSelector(selectToken);
const [isMenuOpen, setIsMenuOpen] = useState<boolean>(false);
const [deleteConfirmation, setDeleteConfirmation] =
useState<ActiveState>('INACTIVE');
const menuRef = useRef<HTMLDivElement>(null);
const togglePin = async () => {
try {
const response = await userService.togglePinAgent(agent.id ?? '', token);
if (!response.ok) throw new Error('Failed to pin agent');
const updatedAgents = agents.map((prevAgent) => {
if (prevAgent.id === agent.id)
return { ...prevAgent, pinned: !prevAgent.pinned };
return prevAgent;
});
updateAgents?.(updatedAgents);
} catch (error) {
console.error('Error:', error);
}
};
const handleHideSharedAgent = async () => {
try {
const response = await userService.removeSharedAgent(
agent.id ?? '',
token,
);
if (!response.ok) throw new Error('Failed to hide shared agent');
const updatedAgents = agents.filter(
(prevAgent) => prevAgent.id !== agent.id,
);
updateAgents?.(updatedAgents);
} catch (error) {
console.error('Error:', error);
}
};
const menuOptionsConfig: Record<string, MenuOption[]> = {
user: [
{
icon: Monitoring,
label: 'Logs',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/logs/${agent.id}`);
},
variant: 'primary',
iconWidth: 14,
iconHeight: 14,
},
{
icon: Edit,
label: 'Edit',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/edit/${agent.id}`);
},
variant: 'primary',
iconWidth: 14,
iconHeight: 14,
},
...(agent.status === 'published'
? [
{
icon: agent.pinned ? UnPin : Pin,
label: agent.pinned ? 'Unpin' : 'Pin agent',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
togglePin();
},
variant: 'primary' as const,
iconWidth: 18,
iconHeight: 18,
},
]
: []),
{
icon: Trash,
label: 'Delete',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
setDeleteConfirmation('ACTIVE');
},
variant: 'danger',
iconWidth: 13,
iconHeight: 13,
},
],
shared: [
{
icon: Link,
label: 'Open',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
navigate(`/agents/shared/${agent.shared_token}`);
},
variant: 'primary',
iconWidth: 12,
iconHeight: 12,
},
{
icon: agent.pinned ? UnPin : Pin,
label: agent.pinned ? 'Unpin' : 'Pin agent',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
togglePin();
},
variant: 'primary',
iconWidth: 18,
iconHeight: 18,
},
{
icon: Trash,
label: 'Remove',
onClick: (e: SyntheticEvent) => {
e.stopPropagation();
handleHideSharedAgent();
},
variant: 'danger',
iconWidth: 13,
iconHeight: 13,
},
],
};
const menuOptions = menuOptionsConfig[section] || [];
const handleClick = () => {
if (section === 'user') {
if (agent.status === 'published') {
dispatch(setSelectedAgent(agent));
navigate(`/`);
}
}
if (section === 'shared') {
navigate(`/agents/shared/${agent.shared_token}`);
}
};
const handleDelete = async (agentId: string) => {
const response = await userService.deleteAgent(agentId, token);
if (!response.ok) throw new Error('Failed to delete agent');
const data = await response.json();
dispatch(setAgents(agents.filter((prevAgent) => prevAgent.id !== data.id)));
};
return (
<div
className={`relative flex h-44 w-full flex-col justify-between rounded-[1.2rem] bg-[#F6F6F6] px-6 py-5 hover:bg-[#ECECEC] md:w-48 dark:bg-[#383838] dark:hover:bg-[#383838]/80 ${agent.status === 'published' && 'cursor-pointer'}`}
onClick={(e) => {
e.stopPropagation();
handleClick();
}}
>
<div
ref={menuRef}
onClick={(e) => {
e.stopPropagation();
setIsMenuOpen(true);
}}
className="absolute top-4 right-4 z-10 cursor-pointer"
>
<img src={ThreeDots} alt={'use-agent'} className="h-[19px] w-[19px]" />
<ContextMenu
isOpen={isMenuOpen}
setIsOpen={setIsMenuOpen}
options={menuOptions}
anchorRef={menuRef}
position="bottom-right"
offset={{ x: 0, y: 0 }}
/>
</div>
<div className="w-full">
<div className="flex w-full items-center gap-1 px-1">
<AgentImage
src={agent.image}
alt={`${agent.name}`}
className="h-7 w-7 rounded-full object-contain"
/>
{agent.status === 'draft' && (
<p className="text-xs text-black opacity-50 dark:text-[#E0E0E0]">{`(Draft)`}</p>
)}
</div>
<div className="mt-2">
<p
title={agent.name}
className="truncate px-1 text-[13px] leading-relaxed font-semibold text-[#020617] capitalize dark:text-[#E0E0E0]"
>
{agent.name}
</p>
<p className="dark:text-sonic-silver-light mt-1 h-20 overflow-auto px-1 text-[12px] leading-relaxed text-[#64748B]">
{agent.description}
</p>
</div>
</div>
<ConfirmationModal
message="Are you sure you want to delete this agent?"
modalState={deleteConfirmation}
setModalState={setDeleteConfirmation}
submitLabel="Delete"
handleSubmit={() => {
handleDelete(agent.id || '');
setDeleteConfirmation('INACTIVE');
}}
cancelLabel="Cancel"
variant="danger"
/>
</div>
);
}

View File

@@ -28,8 +28,4 @@ export type Agent = {
updated_at?: string;
last_used_at?: string;
json_schema?: object;
limited_token_mode?: boolean;
token_limit?: number;
limited_request_mode?: boolean;
request_limit?: number;
};

View File

@@ -3,6 +3,7 @@ const endpoints = {
CONFIG: '/api/config',
NEW_TOKEN: '/api/generate_token',
DOCS: '/api/sources',
DOCS_CHECK: '/api/docs_check',
DOCS_PAGINATED: '/api/sources/paginated',
API_KEYS: '/api/get_api_keys',
CREATE_API_KEY: '/api/create_api_key',
@@ -18,8 +19,6 @@ const endpoints = {
SHARED_AGENTS: '/api/shared_agents',
SHARE_AGENT: `/api/share_agent`,
REMOVE_SHARED_AGENT: (id: string) => `/api/remove_shared_agent?id=${id}`,
TEMPLATE_AGENTS: '/api/template_agents',
ADOPT_AGENT: (id: string) => `/api/adopt_agent?id=${id}`,
AGENT_WEBHOOK: (id: string) => `/api/agent_webhook?id=${id}`,
PROMPTS: '/api/get_prompts',
CREATE_PROMPT: '/api/create_prompt',

View File

@@ -10,6 +10,8 @@ const userService = {
apiClient.get(`${endpoints.USER.DOCS}`, token),
getDocsWithPagination: (query: string, token: string | null): Promise<any> =>
apiClient.get(`${endpoints.USER.DOCS_PAGINATED}?${query}`, token),
checkDocs: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.DOCS_CHECK, data, token),
getAPIKeys: (token: string | null): Promise<any> =>
apiClient.get(endpoints.USER.API_KEYS, token),
createAPIKey: (data: any, token: string | null): Promise<any> =>
@@ -42,10 +44,6 @@ const userService = {
apiClient.put(endpoints.USER.SHARE_AGENT, data, token),
removeSharedAgent: (id: string, token: string | null): Promise<any> =>
apiClient.delete(endpoints.USER.REMOVE_SHARED_AGENT(id), token),
getTemplateAgents: (token: string | null): Promise<any> =>
apiClient.get(endpoints.USER.TEMPLATE_AGENTS, token),
adoptAgent: (id: string, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.ADOPT_AGENT(id), {}, token),
getAgentWebhook: (id: string, token: string | null): Promise<any> =>
apiClient.get(endpoints.USER.AGENT_WEBHOOK(id), token),
getPrompts: (token: string | null): Promise<any> =>

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@@ -136,34 +136,33 @@ const Chunks: React.FC<ChunksProps> = ({
const pathParts = path ? path.split('/') : [];
const fetchChunks = async () => {
const fetchChunks = () => {
setLoading(true);
try {
const response = await userService.getDocumentChunks(
documentId,
page,
perPage,
token,
path,
searchTerm,
);
if (!response.ok) {
throw new Error('Failed to fetch chunks data');
}
const data = await response.json();
setPage(data.page);
setPerPage(data.per_page);
setTotalChunks(data.total);
setPaginatedChunks(data.chunks);
} catch (error) {
setPaginatedChunks([]);
console.error(error);
} finally {
// ✅ always runs, success or failure
userService
.getDocumentChunks(documentId, page, perPage, token, path, searchTerm)
.then((response) => {
if (!response.ok) {
setLoading(false);
setPaginatedChunks([]);
throw new Error('Failed to fetch chunks data');
}
return response.json();
})
.then((data) => {
setPage(data.page);
setPerPage(data.per_page);
setTotalChunks(data.total);
setPaginatedChunks(data.chunks);
setLoading(false);
})
.catch((error) => {
setLoading(false);
setPaginatedChunks([]);
});
} catch (e) {
setLoading(false);
setPaginatedChunks([]);
}
};

View File

@@ -6,7 +6,6 @@ import { selectToken } from '../preferences/preferenceSlice';
import { ActiveState } from '../models/misc';
import Chunks from './Chunks';
import ContextMenu, { MenuOption } from './ContextMenu';
import SkeletonLoader from './SkeletonLoader';
import ConfirmationModal from '../modals/ConfirmationModal';
import userService from '../api/services/userService';
import FileIcon from '../assets/file.svg';
@@ -16,7 +15,7 @@ import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import SyncIcon from '../assets/sync.svg';
import CheckmarkIcon from '../assets/checkMark2.svg';
import { useOutsideAlerter, useLoaderState } from '../hooks';
import { useOutsideAlerter } from '../hooks';
import {
Table,
TableContainer,
@@ -56,7 +55,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
onBackToDocuments,
}) => {
const { t } = useTranslation();
const [loading, setLoading] = useLoaderState(true, 500);
const [loading, setLoading] = useState<boolean>(true);
const [error, setError] = useState<string | null>(null);
const [directoryStructure, setDirectoryStructure] =
useState<DirectoryStructure | null>(null);
@@ -717,13 +716,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
</TableHeader>
</TableRow>
</TableHead>
<TableBody>
{loading ? (
<SkeletonLoader component="fileTable" />
) : (
renderFileTree(getCurrentDirectory())
)}
</TableBody>
<TableBody>{renderFileTree(getCurrentDirectory())}</TableBody>
</Table>
</TableContainer>
</div>

View File

@@ -20,9 +20,14 @@ type CopyButtonProps = {
const DEFAULT_ICON_SIZE = 'w-4 h-4';
const DEFAULT_PADDING = 'p-2';
const DEFAULT_COPIED_DURATION = 2000;
const DEFAULT_BG_LIGHT = '#FFFFFF';
const DEFAULT_BG_DARK = 'transparent';
const DEFAULT_HOVER_BG_LIGHT = '#EEEEEE';
const DEFAULT_HOVER_BG_DARK = '#464152';
export default function CopyButton({
textToCopy,
iconSize = DEFAULT_ICON_SIZE,
padding = DEFAULT_PADDING,
showText = false,
@@ -38,8 +43,9 @@ export default function CopyButton({
const iconWrapperClasses = clsx(
'flex items-center justify-center rounded-full transition-colors duration-150 ease-in-out',
padding,
`bg-[${DEFAULT_BG_LIGHT}] dark:bg-[${DEFAULT_BG_DARK}]`,
{
[`bg-[#FFFFFF}] dark:bg-transparent hover:bg-[#EEEEEE] dark:hover:bg-purple-taupe`]:
[`hover:bg-[${DEFAULT_HOVER_BG_LIGHT}] dark:hover:bg-[${DEFAULT_HOVER_BG_DARK}]`]:
!isCopied,
'bg-green-100 dark:bg-green-900 hover:bg-green-100 dark:hover:bg-green-900':
isCopied,

View File

@@ -5,7 +5,6 @@ import { selectToken } from '../preferences/preferenceSlice';
import { formatBytes } from '../utils/stringUtils';
import Chunks from './Chunks';
import ContextMenu, { MenuOption } from './ContextMenu';
import SkeletonLoader from './SkeletonLoader';
import userService from '../api/services/userService';
import FileIcon from '../assets/file.svg';
import FolderIcon from '../assets/folder.svg';
@@ -13,7 +12,7 @@ import ArrowLeft from '../assets/arrow-left.svg';
import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import Trash from '../assets/red-trash.svg';
import { useOutsideAlerter, useLoaderState } from '../hooks';
import { useOutsideAlerter } from '../hooks';
import ConfirmationModal from '../modals/ConfirmationModal';
import {
Table,
@@ -54,7 +53,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
onBackToDocuments,
}) => {
const { t } = useTranslation();
const [loading, setLoading] = useLoaderState(true, 500);
const [loading, setLoading] = useState<boolean>(true);
const [error, setError] = useState<string | null>(null);
const [directoryStructure, setDirectoryStructure] =
useState<DirectoryStructure | null>(null);
@@ -840,13 +839,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
</TableHeader>
</TableRow>
</TableHead>
<TableBody>
{loading ? (
<SkeletonLoader component="fileTable" />
) : (
renderFileTree(currentDirectory)
)}
</TableBody>
<TableBody>{renderFileTree(currentDirectory)}</TableBody>
</Table>
</TableContainer>
</div>

View File

@@ -101,7 +101,7 @@ export const FileUpload = ({
const filesToUpload = multiple ? acceptedFiles : [acceptedFiles[0]];
onUpload(filesToUpload);
const file = acceptedFiles[0];
const file = multiple ? acceptedFiles[0] : acceptedFiles[0];
setCurrentFile(file);
if (showPreview && file.type.startsWith('image/')) {

View File

@@ -7,9 +7,11 @@ import userService from '../api/services/userService';
import AlertIcon from '../assets/alert.svg';
import ClipIcon from '../assets/clip.svg';
import ExitIcon from '../assets/exit.svg';
import SendArrowIcon from './SendArrowIcon';
import PaperPlane from '../assets/paper_plane.svg';
import SourceIcon from '../assets/source.svg';
import DocumentationDark from '../assets/documentation-dark.svg';
import SpinnerDark from '../assets/spinner-dark.svg';
import Spinner from '../assets/spinner.svg';
import ToolIcon from '../assets/tool.svg';
import {
addAttachment,
@@ -17,7 +19,7 @@ import {
selectAttachments,
updateAttachment,
} from '../upload/uploadSlice';
import { useDarkTheme } from '../hooks';
import { ActiveState } from '../models/misc';
import {
selectSelectedDocs,
@@ -27,7 +29,6 @@ import Upload from '../upload/Upload';
import { getOS, isTouchDevice } from '../utils/browserUtils';
import SourcesPopup from './SourcesPopup';
import ToolsPopup from './ToolsPopup';
import { handleAbort } from '../conversation/conversationSlice';
type MessageInputProps = {
onSubmit: (text: string) => void;
@@ -45,6 +46,7 @@ export default function MessageInput({
autoFocus = true,
}: MessageInputProps) {
const { t } = useTranslation();
const [isDarkTheme] = useDarkTheme();
const [value, setValue] = useState('');
const inputRef = useRef<HTMLTextAreaElement>(null);
const sourceButtonRef = useRef<HTMLButtonElement>(null);
@@ -91,10 +93,8 @@ export default function MessageInput({
const apiHost = import.meta.env.VITE_API_HOST;
const xhr = new XMLHttpRequest();
const uniqueId = crypto.randomUUID();
const newAttachment = {
id: uniqueId,
fileName: file.name,
progress: 0,
status: 'uploading' as const,
@@ -108,7 +108,7 @@ export default function MessageInput({
const progress = Math.round((event.loaded / event.total) * 100);
dispatch(
updateAttachment({
id: uniqueId,
taskId: newAttachment.taskId,
updates: { progress },
}),
);
@@ -121,7 +121,7 @@ export default function MessageInput({
if (response.task_id) {
dispatch(
updateAttachment({
id: uniqueId,
taskId: newAttachment.taskId,
updates: {
taskId: response.task_id,
status: 'processing',
@@ -133,7 +133,7 @@ export default function MessageInput({
} else {
dispatch(
updateAttachment({
id: uniqueId,
taskId: newAttachment.taskId,
updates: { status: 'failed' },
}),
);
@@ -143,7 +143,7 @@ export default function MessageInput({
xhr.onerror = () => {
dispatch(
updateAttachment({
id: uniqueId,
taskId: newAttachment.taskId,
updates: { status: 'failed' },
}),
);
@@ -169,7 +169,7 @@ export default function MessageInput({
if (data.status === 'SUCCESS') {
dispatch(
updateAttachment({
id: attachment.id,
taskId: attachment.taskId!,
updates: {
status: 'completed',
progress: 100,
@@ -181,14 +181,14 @@ export default function MessageInput({
} else if (data.status === 'FAILURE') {
dispatch(
updateAttachment({
id: attachment.id,
taskId: attachment.taskId!,
updates: { status: 'failed' },
}),
);
} else if (data.status === 'PROGRESS' && data.result?.current) {
dispatch(
updateAttachment({
id: attachment.id,
taskId: attachment.taskId!,
updates: { progress: data.result.current },
}),
);
@@ -197,7 +197,7 @@ export default function MessageInput({
.catch(() => {
dispatch(
updateAttachment({
id: attachment.id,
taskId: attachment.taskId!,
updates: { status: 'failed' },
}),
);
@@ -256,18 +256,13 @@ export default function MessageInput({
setValue('');
}
};
const handleCancel = () => {
handleAbort();
};
return (
<div className="flex w-full flex-col">
<div className="mx-2 flex w-full flex-col">
<div className="border-dark-gray bg-lotion dark:border-grey relative flex w-full flex-col rounded-[23px] border dark:bg-transparent">
<div className="flex flex-wrap gap-1.5 px-2 py-2 sm:gap-2 sm:px-3">
{attachments.map((attachment) => (
{attachments.map((attachment, index) => (
<div
key={attachment.id}
key={index}
className={`group dark:text-bright-gray relative flex items-center rounded-xl bg-[#EFF3F4] px-2 py-1 text-[12px] text-[#5D5D5D] sm:px-3 sm:py-1.5 sm:text-[14px] dark:bg-[#393B3D] ${
attachment.status !== 'completed' ? 'opacity-70' : 'opacity-100'
}`}
@@ -329,7 +324,11 @@ export default function MessageInput({
<button
className="ml-1.5 flex items-center justify-center rounded-full p-1"
onClick={() => {
dispatch(removeAttachment(attachment.id));
if (attachment.id) {
dispatch(removeAttachment(attachment.id));
} else if (attachment.taskId) {
dispatch(removeAttachment(attachment.taskId));
}
}}
aria-label={t('conversation.attachments.remove')}
>
@@ -428,33 +427,26 @@ export default function MessageInput({
{/* Additional badges can be added here in the future */}
</div>
{loading ? (
<button
onClick={handleCancel}
aria-label={t('cancel')}
className={`ml-auto flex h-7 w-7 shrink-0 items-center justify-center rounded-full bg-[#7F54D6] text-white sm:h-9 sm:w-9`}
disabled={!loading}
>
<div className="flex h-3 w-3 items-center justify-center rounded-[3px] bg-white sm:h-3.5 sm:w-3.5" />
</button>
) : (
<button
onClick={handleSubmit}
aria-label={t('send')}
className={`ml-auto flex h-7 w-7 shrink-0 items-center justify-center rounded-full transition-colors duration-300 ease-in-out sm:h-9 sm:w-9 ${
value.trim() && !loading
? 'bg-purple-30 text-white'
: 'bg-[#EDEDED] text-[#959595] dark:bg-[#37383D] dark:text-[#77787D]'
}`}
disabled={!value.trim() || loading}
>
<SendArrowIcon
className="mx-auto my-auto block h-3.5 w-3.5 sm:h-4 sm:w-4"
aria-label={t('send')}
role="img"
<button
onClick={loading ? undefined : handleSubmit}
aria-label={loading ? t('loading') : t('send')}
className={`flex h-7 w-7 items-center justify-center rounded-full sm:h-9 sm:w-9 ${loading || !value.trim() ? 'bg-black opacity-60 dark:bg-[#F0F3F4] dark:opacity-80' : 'bg-black opacity-100 dark:bg-[#F0F3F4]'} ml-auto shrink-0`}
disabled={loading}
>
{loading ? (
<img
src={isDarkTheme ? SpinnerDark : Spinner}
className="mx-auto my-auto block h-3.5 w-3.5 animate-spin sm:h-4 sm:w-4"
alt={t('loading')}
/>
</button>
)}
) : (
<img
className={`mx-auto my-auto block h-3.5 w-3.5 translate-x-[-0.9px] translate-y-[1.1px] sm:h-4 sm:w-4 ${isDarkTheme ? 'invert filter' : ''}`}
src={PaperPlane}
alt={t('send')}
/>
)}
</button>
</div>
</div>

View File

@@ -1,45 +0,0 @@
import close from '../assets/cross.svg';
import rightArrow from '../assets/arrow-full-right.svg';
import bg from '../assets/notification-bg.jpg';
interface NotificationProps {
notificationText: string;
notificationLink: string;
handleCloseNotification: () => void;
}
export default function Notification({
notificationText,
notificationLink,
handleCloseNotification,
}: NotificationProps) {
return (
<a
className="absolute right-2 bottom-6 z-20 flex w-3/4 items-center justify-center gap-2 rounded-lg bg-cover bg-center bg-no-repeat px-2 py-4 sm:right-4 md:w-2/5 lg:w-1/3 xl:w-1/4 2xl:w-1/5"
style={{ backgroundImage: `url(${bg})` }}
href={notificationLink}
target="_blank"
aria-label="Notification"
rel="noreferrer"
>
<p className="text-white-3000 text-xs leading-6 font-semibold xl:text-sm xl:leading-7">
{notificationText}
</p>
<span>
<img className="w-full" src={rightArrow} alt="" />
</span>
<button
className="absolute top-2 right-2 z-30 h-4 w-4 hover:opacity-70"
aria-label="Close notification"
onClick={(e) => {
e.stopPropagation();
e.preventDefault();
handleCloseNotification();
}}
>
<img className="w-full" src={close} alt="Close notification" />
</button>
</a>
);
}

View File

@@ -1,17 +0,0 @@
import { SVGProps } from 'react';
const SendArrowIcon = (props: SVGProps<SVGSVGElement>) => (
<svg
width="11"
height="14"
viewBox="0 0 11 14"
fill="none"
xmlns="http://www.w3.org/2000/svg"
{...props}
>
<path
d="M0.292786 6.20676C0.105315 6.01923 -3.59956e-07 5.76492 -3.71547e-07 5.49976C-3.83138e-07 5.23459 0.105315 4.98028 0.292786 4.79276L4.79279 0.292756C4.98031 0.105284 5.23462 -3.07464e-05 5.49979 -3.0758e-05C5.76495 -3.07696e-05 6.01926 0.105284 6.20679 0.292756L10.7068 4.79276C10.8889 4.98136 10.9897 5.23396 10.9875 5.49616C10.9852 5.75835 10.88 6.00917 10.6946 6.19457C10.5092 6.37998 10.2584 6.48515 9.99619 6.48743C9.73399 6.48971 9.48139 6.38891 9.29279 6.20676L6.49979 3.49976L6.49979 12.9998C6.49979 13.265 6.39443 13.5193 6.20689 13.7069C6.01936 13.8944 5.765 13.9998 5.49979 13.9998C5.23457 13.9998 4.98022 13.8944 4.79268 13.7069C4.60514 13.5193 4.49979 13.265 4.49979 12.9998L4.49979 3.49976L1.70679 6.20676C1.51926 6.39423 1.26495 6.49954 0.999786 6.49954C0.734622 6.49954 0.480314 6.39423 0.292786 6.20676Z"
fill="currentColor"
/>
</svg>
);
export default SendArrowIcon;

View File

@@ -0,0 +1,36 @@
import { useState } from 'react';
import ShareIcon from '../assets/share.svg';
import { ShareConversationModal } from '../modals/ShareConversationModal';
type ShareButtonProps = {
conversationId: string;
};
export default function ShareButton({ conversationId }: ShareButtonProps) {
const [isShareModalOpen, setShareModalState] = useState<boolean>(false);
return (
<>
<button
title="Share"
onClick={() => {
setShareModalState(true);
}}
className="hover:bg-bright-gray absolute top-4 right-20 z-20 rounded-full dark:hover:bg-[#28292E]"
>
<img
className="m-2 h-5 w-5 filter dark:invert"
alt="share"
src={ShareIcon}
/>
</button>
{isShareModalOpen && (
<ShareConversationModal
close={() => {
setShareModalState(false);
}}
conversationId={conversationId}
/>
)}
</>
);
}

View File

@@ -33,7 +33,7 @@ export default function Sidebar({
return (
<div ref={sidebarRef} className="h-vh relative">
<div
className={`dark:bg-chinese-black fixed top-0 right-0 z-50 h-full w-64 transform bg-white shadow-xl transition-all duration-300 sm:w-80 ${
className={`dark:bg-chinese-black fixed top-0 right-0 z-50 h-full w-72 transform bg-white shadow-xl transition-all duration-300 sm:w-96 ${
isOpen ? 'translate-x-[10px]' : 'translate-x-full'
} border-l border-[#9ca3af]/10`}
>

View File

@@ -6,7 +6,7 @@ interface SkeletonLoaderProps {
| 'default'
| 'analysis'
| 'logs'
| 'fileTable'
| 'table'
| 'chatbot'
| 'dropdown'
| 'chunkCards'
@@ -44,15 +44,15 @@ const SkeletonLoader: React.FC<SkeletonLoaderProps> = ({
<>
{[...Array(4)].map((_, idx) => (
<tr key={idx} className="animate-pulse">
<td className="w-[40%] px-4 py-4">
<div className="h-4 w-full rounded-sm bg-gray-300 dark:bg-gray-600"></div>
</td>
<td className="w-[30%] px-4 py-4">
<td className="w-[45%] px-4 py-4">
<div className="h-4 w-full rounded-sm bg-gray-300 dark:bg-gray-600"></div>
</td>
<td className="w-[20%] px-4 py-4">
<div className="h-4 w-full rounded-sm bg-gray-300 dark:bg-gray-600"></div>
</td>
<td className="w-[25%] px-4 py-4">
<div className="h-4 w-full rounded-sm bg-gray-300 dark:bg-gray-600"></div>
</td>
<td className="w-[10%] px-4 py-4">
<div className="h-4 w-full rounded-sm bg-gray-300 dark:bg-gray-600"></div>
</td>
@@ -241,7 +241,7 @@ const SkeletonLoader: React.FC<SkeletonLoaderProps> = ({
);
const componentMap = {
fileTable: renderTable,
table: renderTable,
chatbot: renderChatbot,
dropdown: renderDropdown,
logs: renderLogs,

View File

@@ -0,0 +1,175 @@
import React, { useState } from 'react';
import Trash from '../assets/trash.svg';
import Arrow2 from '../assets/dropdown-arrow.svg';
import { Doc, ActiveState } from '../models/misc';
import { useDispatch } from 'react-redux';
import { useTranslation } from 'react-i18next';
import ConfirmationModal from '../modals/ConfirmationModal';
type Props = {
options: Doc[] | null;
selectedDocs: Doc | null;
setSelectedDocs: any;
isDocsListOpen: boolean;
setIsDocsListOpen: React.Dispatch<React.SetStateAction<boolean>>;
handleDeleteClick: any;
handlePostDocumentSelect: any;
};
function SourceDropdown({
options,
setSelectedDocs,
selectedDocs,
setIsDocsListOpen,
isDocsListOpen,
handleDeleteClick,
handlePostDocumentSelect, // Callback function fired after a document is selected
}: Props) {
const dispatch = useDispatch();
const { t } = useTranslation();
const dropdownRef = React.useRef<HTMLDivElement>(null);
const embeddingsName =
import.meta.env.VITE_EMBEDDINGS_NAME ||
'huggingface_sentence-transformers/all-mpnet-base-v2';
const [deleteModalState, setDeleteModalState] =
useState<ActiveState>('INACTIVE');
const [documentToDelete, setDocumentToDelete] = useState<Doc | null>(null);
const handleEmptyDocumentSelect = () => {
dispatch(setSelectedDocs(null));
setIsDocsListOpen(false);
};
const handleClickOutside = (event: MouseEvent) => {
if (
dropdownRef.current &&
!dropdownRef.current.contains(event.target as Node)
) {
setIsDocsListOpen(false);
}
};
React.useEffect(() => {
document.addEventListener('mousedown', handleClickOutside);
return () => {
document.removeEventListener('mousedown', handleClickOutside);
};
}, []);
const confirmDelete = (option: Doc) => {
setDocumentToDelete(option);
setDeleteModalState('ACTIVE');
};
const handleConfirmedDelete = () => {
if (documentToDelete) {
handleDeleteClick(documentToDelete);
setDeleteModalState('INACTIVE');
setDocumentToDelete(null);
}
};
const handleCancelDelete = () => {
setDeleteModalState('INACTIVE');
setDocumentToDelete(null);
};
return (
<div className="relative w-5/6 rounded-3xl" ref={dropdownRef}>
<button
onClick={() => setIsDocsListOpen(!isDocsListOpen)}
className={`border-silver flex w-full cursor-pointer items-center border bg-white p-[11px] dark:bg-transparent ${
isDocsListOpen
? 'dark:border-silver/40 rounded-t-3xl'
: 'dark:border-purple-taupe rounded-3xl'
}`}
>
<span className="dark:text-bright-gray mr-2 ml-1 flex-1 overflow-hidden text-left text-ellipsis">
<div className="flex flex-row gap-2">
<p className="max-w-3/4 truncate whitespace-nowrap">
{selectedDocs?.name || 'None'}
</p>
</div>
</span>
<img
src={Arrow2}
alt="arrow"
className={`transform ${
isDocsListOpen ? 'rotate-180' : 'rotate-0'
} h-3 w-3 transition-transform`}
/>
</button>
{isDocsListOpen && (
<div className="border-silver dark:border-silver/40 dark:bg-dark-charcoal absolute right-0 left-0 z-20 -mt-1 max-h-28 overflow-y-auto rounded-b-xl border bg-white shadow-lg">
{options ? (
options.map((option: any, index: number) => {
if (option.model === embeddingsName) {
return (
<div
key={index}
className="dark:text-bright-gray flex cursor-pointer items-center justify-between hover:bg-gray-100 dark:hover:bg-[#545561]"
onClick={() => {
dispatch(setSelectedDocs(option));
setIsDocsListOpen(false);
handlePostDocumentSelect(option);
}}
>
<span
onClick={() => {
setIsDocsListOpen(false);
}}
className="ml-4 flex-1 overflow-hidden py-3 text-ellipsis whitespace-nowrap"
>
{option.name}
</span>
{option.location === 'local' && (
<img
src={Trash}
alt="Delete"
className="mr-4 h-4 w-4 cursor-pointer hover:opacity-50"
id={`img-${index}`}
onClick={(event) => {
event.stopPropagation();
confirmDelete(option);
}}
/>
)}
</div>
);
}
})
) : (
<></>
)}
<div
className="dark:text-bright-gray dark:hover:bg-purple-taupe flex cursor-pointer items-center justify-between hover:bg-gray-100"
onClick={handleEmptyDocumentSelect}
>
<span
className="ml-4 flex-1 overflow-hidden py-3 text-ellipsis whitespace-nowrap"
onClick={() => {
handlePostDocumentSelect(null);
}}
>
{t('none')}
</span>
</div>
</div>
)}
<ConfirmationModal
message={t('settings.sources.deleteWarning', {
name: documentToDelete?.name,
})}
modalState={deleteModalState}
setModalState={setDeleteModalState}
handleSubmit={handleConfirmedDelete}
handleCancel={handleCancelDelete}
submitLabel={t('convTile.delete')}
variant="danger"
/>
</div>
);
}
export default SourceDropdown;

View File

@@ -1,5 +1,4 @@
import React, { useRef, useEffect, useState, useLayoutEffect } from 'react';
import { createPortal } from 'react-dom';
import { useTranslation } from 'react-i18next';
import { useDispatch, useSelector } from 'react-redux';
import { Doc } from '../models/misc';
@@ -108,7 +107,7 @@ export default function SourcesPopup({
onClose();
};
const popupContent = (
return (
<div
ref={popupRef}
className="bg-lotion dark:bg-charleston-green-2 fixed z-50 flex flex-col rounded-xl shadow-[0px_9px_46px_8px_#0000001F,0px_24px_38px_3px_#00000024,0px_11px_15px_-7px_#00000033]"
@@ -219,7 +218,7 @@ export default function SourcesPopup({
</>
) : (
<div className="dark:text-bright-gray p-4 text-center text-gray-500 dark:text-[14px]">
{t('conversation.sources.noSourcesAvailable')}
{t('noSourcesAvailable')}
</div>
)}
</div>
@@ -246,6 +245,4 @@ export default function SourcesPopup({
</div>
</div>
);
return createPortal(popupContent, document.body);
}

View File

@@ -1,5 +1,4 @@
import React, { useEffect, useRef, useState, useLayoutEffect } from 'react';
import { createPortal } from 'react-dom';
import { useTranslation } from 'react-i18next';
import { useSelector } from 'react-redux';
import { selectToken } from '../preferences/preferenceSlice';
@@ -134,10 +133,10 @@ export default function ToolsPopup({
tool.displayName.toLowerCase().includes(searchTerm.toLowerCase()),
);
const popupContent = (
return (
<div
ref={popupRef}
className="border-light-silver bg-lotion dark:border-dim-gray dark:bg-charleston-green-2 fixed z-50 rounded-lg border shadow-[0px_9px_46px_8px_#0000001F,0px_24px_38px_3px_#00000024,0px_11px_15px_-7px_#00000033]"
className="border-light-silver bg-lotion dark:border-dim-gray dark:bg-charleston-green-2 fixed z-9999 rounded-lg border shadow-[0px_9px_46px_8px_#0000001F,0px_24px_38px_3px_#00000024,0px_11px_15px_-7px_#00000033]"
style={{
top: popupPosition.showAbove ? popupPosition.top : undefined,
bottom: popupPosition.showAbove
@@ -243,6 +242,4 @@ export default function ToolsPopup({
</div>
</div>
);
return createPortal(popupContent, document.body);
}

View File

@@ -37,17 +37,14 @@ export default function UploadToast() {
case 'completed':
return t('modals.uploadDoc.progress.completed');
case 'failed':
return t('modals.uploadDoc.progress.failed');
return t('attachments.uploadFailed');
default:
return t('modals.uploadDoc.progress.preparing');
}
};
return (
<div
className="fixed right-4 bottom-4 z-50 flex max-w-md flex-col gap-2"
onMouseDown={(e) => e.stopPropagation()}
>
<div className="fixed right-4 bottom-4 z-50 flex max-w-md flex-col gap-2">
{uploadTasks
.filter((task) => !task.dismissed)
.map((task) => {

View File

@@ -202,7 +202,6 @@ export default function Conversation() {
queries[queries.length - 1].response && setLastQueryReturnedErr(false);
}
}, [queries[queries.length - 1]]);
return (
<div className="flex h-full flex-col justify-end gap-1">
<ConversationMessages
@@ -224,7 +223,7 @@ export default function Conversation() {
<div className="bg-opacity-0 z-3 flex h-auto w-full max-w-[1300px] flex-col items-end self-center rounded-2xl py-1 md:w-9/12 lg:w-8/12 xl:w-8/12 2xl:w-6/12">
<div
{...getRootProps()}
className="flex w-full items-center rounded-[40px] px-2"
className="flex w-full items-center rounded-[40px]"
>
<label htmlFor="file-upload" className="sr-only">
{t('modals.uploadDoc.label')}

View File

@@ -3,9 +3,9 @@
}
.list li:not(:first-child) {
margin-top: 0.5em;
margin-top: 1em;
}
.list li > .list {
margin-top: 0.5em;
margin-top: 1em;
}

View File

@@ -86,7 +86,10 @@ const ConversationBubble = forwardRef<
// const bubbleRef = useRef<HTMLDivElement | null>(null);
const chunks = useSelector(selectChunks);
const selectedDocs = useSelector(selectSelectedDocs);
const [isLikeHovered, setIsLikeHovered] = useState(false);
const [isEditClicked, setIsEditClicked] = useState(false);
const [isDislikeHovered, setIsDislikeHovered] = useState(false);
const [isQuestionHovered, setIsQuestionHovered] = useState(false);
const [editInputBox, setEditInputBox] = useState<string>('');
const messageRef = useRef<HTMLDivElement>(null);
const [shouldShowToggle, setShouldShowToggle] = useState(false);
@@ -112,7 +115,11 @@ const ConversationBubble = forwardRef<
let bubble;
if (type === 'QUESTION') {
bubble = (
<div className={`group ${className}`}>
<div
onMouseEnter={() => setIsQuestionHovered(true)}
onMouseLeave={() => setIsQuestionHovered(false)}
className={className}
>
<div className="flex flex-col items-end">
{filesAttached && filesAttached.length > 0 && (
<div className="mr-12 mb-4 flex flex-wrap justify-end gap-2">
@@ -181,7 +188,7 @@ const ConversationBubble = forwardRef<
setIsEditClicked(true);
setEditInputBox(message ?? '');
}}
className={`hover:bg-light-silver mt-3 flex h-fit shrink-0 cursor-pointer items-center rounded-full p-2 pt-1.5 pl-1.5 dark:hover:bg-[#35363B] ${isEditClicked ? 'visible' : 'invisible group-hover:visible'}`}
className={`hover:bg-light-silver mt-3 flex h-fit shrink-0 cursor-pointer items-center rounded-full p-2 pt-1.5 pl-1.5 dark:hover:bg-[#35363B] ${isQuestionHovered || isEditClicked ? 'visible' : 'invisible'}`}
>
<img src={Edit} alt="Edit" className="cursor-pointer" />
</button>
@@ -414,7 +421,7 @@ const ConversationBubble = forwardRef<
<Fragment key={index}>
{segment.type === 'text' ? (
<ReactMarkdown
className="fade-in flex flex-col gap-3 leading-normal break-words whitespace-pre-wrap"
className="fade-in leading-normal break-words whitespace-pre-wrap"
remarkPlugins={[remarkGfm, remarkMath]}
rehypePlugins={[rehypeKatex]}
components={{
@@ -549,51 +556,63 @@ const ConversationBubble = forwardRef<
</div>
) : (
<>
{!isStreaming && (
<div className="relative mr-2 block items-center justify-center">
<CopyButton textToCopy={message} />
</div>
<div className="relative mr-2 block items-center justify-center">
<SpeakButton text={message} />
</div>
{handleFeedback && (
<>
<div className="relative mr-2 block items-center justify-center">
<CopyButton textToCopy={message} />
</div>
<div className="relative mr-2 block items-center justify-center">
<SpeakButton text={message} />
</div>
{handleFeedback && (
<>
<div className="relative mr-2 flex items-center justify-center">
<div>
<div className="bg-white-3000 dark:hover:bg-purple-taupe flex items-center justify-center rounded-full p-2 hover:bg-[#EEEEEE] dark:bg-transparent">
<Like
className={`${feedback === 'LIKE' ? 'fill-white-3000 stroke-purple-30 dark:fill-transparent' : 'stroke-gray-4000 fill-none'} cursor-pointer`}
onClick={() => {
if (feedback === 'LIKE') {
handleFeedback?.(null);
} else {
handleFeedback?.('LIKE');
}
}}
></Like>
</div>
</div>
<div className="relative mr-2 flex items-center justify-center">
<div>
<div
className={`flex items-center justify-center rounded-full p-2 ${
isLikeHovered
? 'dark:bg-purple-taupe bg-[#EEEEEE]'
: 'bg-white-3000 dark:bg-transparent'
}`}
>
<Like
className={`${feedback === 'LIKE' ? 'fill-white-3000 stroke-purple-30 dark:fill-transparent' : 'stroke-gray-4000 fill-none'} cursor-pointer`}
onClick={() => {
if (feedback === 'LIKE') {
handleFeedback?.(null);
} else {
handleFeedback?.('LIKE');
}
}}
onMouseEnter={() => setIsLikeHovered(true)}
onMouseLeave={() => setIsLikeHovered(false)}
></Like>
</div>
</div>
</div>
<div className="relative mr-2 flex items-center justify-center">
<div>
<div className="bg-white-3000 dark:hover:bg-purple-taupe flex items-center justify-center rounded-full p-2 hover:bg-[#EEEEEE] dark:bg-transparent">
<Dislike
className={`${feedback === 'DISLIKE' ? 'fill-white-3000 stroke-red-2000 dark:fill-transparent' : 'stroke-gray-4000 fill-none'} cursor-pointer`}
onClick={() => {
if (feedback === 'DISLIKE') {
handleFeedback?.(null);
} else {
handleFeedback?.('DISLIKE');
}
}}
></Dislike>
</div>
</div>
<div className="relative mr-2 flex items-center justify-center">
<div>
<div
className={`flex items-center justify-center rounded-full p-2 ${
isDislikeHovered
? 'dark:bg-purple-taupe bg-[#EEEEEE]'
: 'bg-white-3000 dark:bg-transparent'
}`}
>
<Dislike
className={`${feedback === 'DISLIKE' ? 'fill-white-3000 stroke-red-2000 dark:fill-transparent' : 'stroke-gray-4000 fill-none'} cursor-pointer`}
onClick={() => {
if (feedback === 'DISLIKE') {
handleFeedback?.(null);
} else {
handleFeedback?.('DISLIKE');
}
}}
onMouseEnter={() => setIsDislikeHovered(true)}
onMouseLeave={() => setIsDislikeHovered(false)}
></Dislike>
</div>
</>
)}
</div>
</div>
</>
)}
</>
@@ -635,7 +654,7 @@ function AllSources(sources: AllSourcesProps) {
<p className="text-left text-xl">{`${sources.sources.length} ${t('conversation.sources.title')}`}</p>
<div className="mx-1 mt-2 h-[0.8px] w-full rounded-full bg-[#C4C4C4]/40 lg:w-[95%]"></div>
</div>
<div className="scrollbar-thin mt-6 flex h-[90%] w-52 flex-col gap-4 overflow-y-auto pr-3 sm:w-64">
<div className="mt-6 flex h-[90%] w-60 flex-col items-center gap-4 overflow-y-auto sm:w-80">
{sources.sources.map((source, index) => {
const isExternalSource = source.link && source.link !== 'local';
return (

View File

@@ -161,16 +161,14 @@ export const SharedConversation = () => {
/>
<div className="flex w-full max-w-[1200px] flex-col items-center gap-4 pb-2 md:w-9/12 lg:w-8/12 xl:w-8/12 2xl:w-6/12">
{apiKey ? (
<div className="w-full px-2">
<MessageInput
onSubmit={(text) => {
handleQuestionSubmission(text);
}}
loading={status === 'loading'}
showSourceButton={false}
showToolButton={false}
/>
</div>
<MessageInput
onSubmit={(text) => {
handleQuestionSubmission(text);
}}
loading={status === 'loading'}
showSourceButton={false}
showToolButton={false}
/>
) : (
<button
onClick={() => navigate('/')}

View File

@@ -7,7 +7,7 @@ export function handleFetchAnswer(
question: string,
signal: AbortSignal,
token: string | null,
selectedDocs: Doc[],
selectedDocs: Doc[] | null,
conversationId: string | null,
promptId: string | null,
chunks: string,
@@ -42,7 +42,7 @@ export function handleFetchAnswer(
prompt_id: promptId,
chunks: chunks,
token_limit: token_limit,
isNoneDoc: selectedDocs.length === 0,
isNoneDoc: selectedDocs === null,
agent_id: agentId,
save_conversation: save_conversation,
};
@@ -52,7 +52,7 @@ export function handleFetchAnswer(
payload.attachments = attachments;
}
if (selectedDocs.length > 0) {
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);
@@ -91,7 +91,7 @@ export function handleFetchAnswerSteaming(
question: string,
signal: AbortSignal,
token: string | null,
selectedDocs: Doc[],
selectedDocs: Doc[] | null,
conversationId: string | null,
promptId: string | null,
chunks: string,
@@ -108,7 +108,7 @@ export function handleFetchAnswerSteaming(
prompt_id: promptId,
chunks: chunks,
token_limit: token_limit,
isNoneDoc: selectedDocs.length === 0,
isNoneDoc: selectedDocs === null,
index: indx,
agent_id: agentId,
save_conversation: save_conversation,
@@ -119,7 +119,7 @@ export function handleFetchAnswerSteaming(
payload.attachments = attachments;
}
if (selectedDocs.length > 0) {
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);
@@ -185,7 +185,7 @@ export function handleFetchAnswerSteaming(
export function handleSearch(
question: string,
token: string | null,
selectedDocs: Doc[],
selectedDocs: Doc[] | null,
conversation_id: string | null,
chunks: string,
token_limit: number,
@@ -195,9 +195,9 @@ export function handleSearch(
conversation_id: conversation_id,
chunks: chunks,
token_limit: token_limit,
isNoneDoc: selectedDocs.length === 0,
isNoneDoc: selectedDocs === null,
};
if (selectedDocs.length > 0) {
if (selectedDocs && Array.isArray(selectedDocs)) {
if (selectedDocs.length > 1) {
// Handle multiple documents
payload.active_docs = selectedDocs.map((doc) => doc.id!);

View File

@@ -56,7 +56,7 @@ export const fetchAnswer = createAsyncThunk<
question,
signal,
state.preference.token,
state.preference.selectedDocs || [],
state.preference.selectedDocs!,
currentConversationId,
state.preference.prompt.id,
state.preference.chunks,
@@ -163,7 +163,7 @@ export const fetchAnswer = createAsyncThunk<
question,
signal,
state.preference.token,
state.preference.selectedDocs || [],
state.preference.selectedDocs!,
state.conversation.conversationId,
state.preference.prompt.id,
state.preference.chunks,

View File

@@ -0,0 +1,168 @@
import { useCallback, useState, useEffect } from 'react';
import { useSelector } from 'react-redux';
import userService from '../api/services/userService';
import { Prompt } from '../models/misc';
import { selectToken } from '../preferences/preferenceSlice';
type UsePromptManagerProps = {
initialPrompts: Prompt[];
onPromptSelect: (name: string, id: string, type: string) => void;
onPromptsUpdate: (updatedPrompts: Prompt[]) => void;
};
type PromptContentResponse = {
id: string;
name: string;
content: string;
};
type PromptCreateResponse = {
id: string;
};
export const usePromptManager = ({
initialPrompts,
onPromptSelect,
onPromptsUpdate,
}: UsePromptManagerProps) => {
const token = useSelector(selectToken);
const [prompts, setPrompts] = useState<Prompt[]>(initialPrompts);
const [isLoading, setIsLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
useEffect(() => {
setPrompts(initialPrompts);
}, [initialPrompts]);
const handleApiCall = async <T>(
apiCall: () => Promise<Response>,
errorMessage: string,
): Promise<T | null> => {
setIsLoading(true);
setError(null);
try {
const response = await apiCall();
if (!response.ok) {
const errorData = await response.text();
console.error(`${errorMessage}: ${response.status} ${errorData}`);
throw new Error(`${errorMessage} (Status: ${response.status})`);
}
const contentType = response.headers.get('content-type');
if (contentType && contentType.includes('application/json')) {
return (await response.json()) as T;
}
return null;
} catch (err) {
const message = err instanceof Error ? err.message : String(err);
setError(message);
console.error(err);
return null;
} finally {
setIsLoading(false);
}
};
const addPrompt = useCallback(
async (name: string, content: string): Promise<Prompt | null> => {
const newPromptData = await handleApiCall<PromptCreateResponse>(
() => userService.createPrompt({ name, content }, token),
'Failed to add prompt',
);
if (newPromptData) {
const newPrompt: Prompt = {
name,
id: newPromptData.id,
type: 'private',
};
const updatedPrompts = [...prompts, newPrompt];
setPrompts(updatedPrompts);
onPromptsUpdate(updatedPrompts);
onPromptSelect(newPrompt.name, newPrompt.id, newPrompt.type);
return newPrompt;
}
return null;
},
[token, prompts, onPromptsUpdate, onPromptSelect],
);
const deletePrompt = useCallback(
async (idToDelete: string): Promise<void> => {
const originalPrompts = [...prompts];
const updatedPrompts = prompts.filter(
(prompt) => prompt.id !== idToDelete,
);
setPrompts(updatedPrompts);
onPromptsUpdate(updatedPrompts);
const result = await handleApiCall<null>(
() => userService.deletePrompt({ id: idToDelete }, token),
'Failed to delete prompt',
);
if (result === null && error) {
setPrompts(originalPrompts);
onPromptsUpdate(originalPrompts);
} else {
if (updatedPrompts.length > 0) {
onPromptSelect(
updatedPrompts[0].name,
updatedPrompts[0].id,
updatedPrompts[0].type,
);
}
}
},
[token, prompts, onPromptsUpdate, onPromptSelect, error],
);
const fetchPromptContent = useCallback(
async (id: string): Promise<string | null> => {
const promptDetails = await handleApiCall<PromptContentResponse>(
() => userService.getSinglePrompt(id, token),
'Failed to fetch prompt content',
);
return promptDetails ? promptDetails.content : null;
},
[token],
);
const updatePrompt = useCallback(
async (
id: string,
name: string,
content: string,
type: string,
): Promise<boolean> => {
const result = await handleApiCall<{ success: boolean }>(
() => userService.updatePrompt({ id, name, content }, token),
'Failed to update prompt',
);
if (result?.success) {
const updatedPrompts = prompts.map((p) =>
p.id === id ? { ...p, name, type } : p,
);
setPrompts(updatedPrompts);
onPromptsUpdate(updatedPrompts);
onPromptSelect(name, id, type);
return true;
}
return false;
},
[token, prompts, onPromptsUpdate, onPromptSelect],
);
return {
prompts,
isLoading,
error,
addPrompt,
deletePrompt,
fetchPromptContent,
updatePrompt,
setError,
};
};

View File

@@ -118,34 +118,18 @@ layer(base);
background: transparent;
}
/* Light theme scrollbar */
&::-webkit-scrollbar-thumb {
background: rgba(215, 215, 215, 1);
background: rgba(156, 163, 175, 0.5);
border-radius: 3px;
}
&::-webkit-scrollbar-thumb:hover {
background: rgba(195, 195, 195, 1);
background: rgba(156, 163, 175, 0.7);
}
/* Dark theme scrollbar */
.dark &::-webkit-scrollbar-thumb {
background: rgba(77, 78, 88, 1);
border-radius: 3px;
}
.dark &::-webkit-scrollbar-thumb:hover {
background: rgba(97, 98, 108, 1);
}
/* For Firefox - Light theme */
/* For Firefox */
scrollbar-width: thin;
scrollbar-color: rgba(215, 215, 215, 1) transparent;
/* For Firefox - Dark theme */
.dark & {
scrollbar-color: rgba(77, 78, 88, 1) transparent;
}
scrollbar-color: rgba(156, 163, 175, 0.5) transparent;
}
@utility table-default {

View File

@@ -262,7 +262,6 @@
"upload": "Upload is in progress",
"training": "Upload is in progress",
"completed": "Upload completed",
"failed": "Upload failed",
"wait": "This may take several minutes",
"preparing": "Preparing upload",
"tokenLimit": "Over the token limit, please consider uploading smaller document",
@@ -421,12 +420,12 @@
"title": "Sources",
"text": "Choose Your Sources",
"link": "Source link",
"view_more": "{{count}} more sources",
"noSourcesAvailable": "No sources available"
"view_more": "{{count}} more sources"
},
"attachments": {
"attach": "Attach",
"remove": "Remove attachment"
"remove": "Remove attachment",
"uploadFailed": "Upload failed"
},
"retry": "Retry"
}

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