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Functions1,846 in github.com/coleam00/ottomator-agents

↓ 1 callersMethoddelete_item
Delete an item from the database
genericsuite-app-maker-agent/lib/codegen_db.py:64
↓ 1 callersFunctiondemo_basic_completion
Basic completion example
python-local-ai-agent/openai_compatible_demo.py:22
↓ 1 callersFunctiondemo_conversation
Multi-turn conversation example
python-local-ai-agent/openai_compatible_demo.py:65
↓ 1 callersFunctiondemo_streaming
Streaming example
python-local-ai-agent/openai_compatible_demo.py:43
↓ 1 callersMethoddisconnect
Disconnect the Claude SDK client.
claude-agent-sdk-demos/PRPs/examples/ai_docs/claude_sdk_wrapper.py:123
↓ 1 callersFunctiondisplay_chat_history
()
r1-distill-rag/streamlit.py:8
↓ 1 callersFunctiondisplay_help
Display help information.
ag-ui-rag-agent/agent/cli.py:167
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
crawl4AI-agent/streamlit_ui.py:48
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
pydantic-ai-mcp-agent/extras/pydantic_mcp_streamlit.py:54
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
light-rag-agent/LightRAG/streamlit_app.py:49
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
light-rag-agent/BasicRAG/streamlit_app.py:37
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
crawl4AI-agent-v2/streamlit_app.py:33
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Customize how you display system prompts, user prompts, tool calls, tool returns,
foundational-rag-agent/streamlit_ui_example.py:14
↓ 1 callersFunctiondisplay_message_part
Display a single part of a message in the Streamlit UI. Args: part: Message part to display
foundational-rag-agent/ui/app.py:53
↓ 1 callersFunctiondisplay_sidebar
()
r1-distill-rag/streamlit.py:26
↓ 1 callersMethoddrop_mcp_server
Remove an MCP server from the configuration and disconnect it. Args: server_name (str): The name of the server to remove
thirdbrain-mcp-openai-agent/mcp_client.py:315
↓ 1 callersMethodembed_query
Generate embedding for a search query. Args: query: Search query Returns: Query emb
agentic-rag-knowledge-graph/ingestion/embedder.py:282
↓ 1 callersMethodembed_query
Generate embedding for a search query. Args: query: Search query Returns: Query emb
ag-ui-rag-agent/agent/ingestion/embedder.py:282
↓ 1 callersMethodenrich_chunk
Add contextual prefix to a chunk. Args: chunk_content: The chunk text to enrich document_content: Full docum
all-rag-strategies/implementation/ingestion/contextual_enrichment.py:41
↓ 1 callersFunctionerror_stream
()
claude-agent-sdk-demos/PRPs/examples/ai_docs/agent_api.py:284
↓ 1 callersFunctionerror_stream
()
claude-agent-sdk-demos/obsidian_integration/api_server.py:288
↓ 1 callersFunctionexecute_agent
Execute the agent with a message. Args: message: User message session_id: Session ID user_id: Optional user ID
agentic-rag-knowledge-graph/agent/api.py:285
↓ 1 callersFunctionexpand_query_variations
Generate multiple variations of a query for better retrieval. Args: query: Original search query Returns: List of query
all-rag-strategies/implementation/rag_agent_advanced.py:72
↓ 1 callersMethodexport_data
Export data from the database and send it to the user as a JSON file
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:719
↓ 1 callersMethodexport_data
Export data from the database to JSON
genericsuite-app-maker-agent/lib/codegen_db_abstracts.py:65
↓ 1 callersFunctionextract_full_response_text
Extract full text response from a list of SDK messages. Used for non-streaming responses to collect all text content. Args: mes
claude-agent-sdk-demos/PRPs/examples/ai_docs/openai_converter.py:238
↓ 1 callersFunctionextract_full_response_text
Extract full text response from a list of SDK messages. Used for non-streaming responses to collect all text content. Args: mes
claude-agent-sdk-demos/obsidian_integration/openai_converter.py:155
↓ 1 callersFunctionextract_section_info
Extract section information from a chunk. Args: chunk: The text chunk Returns: Dictionary with section informati
light-rag-agent/BasicRAG/insert_pydantic_docs.py:66
↓ 1 callersFunctionextract_section_info
Extracts headers and stats from a chunk.
crawl4AI-agent-v2/insert_docs.py:144
↓ 1 callersMethodextract_text
Extract text content from a document file. Args: file_path: Path to the document file Retur
foundational-rag-agent/document_processing/processors.py:18
↓ 1 callersMethodextract_text
Extract text from a PDF file with page tracking. Args: file_path: Path to the PDF file Retu
foundational-rag-agent/document_processing/processors.py:124
↓ 1 callersMethodextract_tool_calls
Extract tool call information from messages.
docling-rag-agent/cli.py:211
↓ 1 callersMethodextract_tool_calls
Extract tool call information from messages.
all-rag-strategies/implementation/cli.py:211
↓ 1 callersFunctionextract_youtube_id
Extract video or playlist ID from various YouTube URL formats. Returns tuple of (id_type, id) where id_type is 'video' or 'playlist'
youtube-summary-agent/main.py:307
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
file-agent/file_agent.py:62
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
ottomarkdown-agent/file_agent.py:103
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
genericsuite-app-maker-agent/gsam_ottomator_agent/gsam_supabase_agent.py:73
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
genericsuite-app-maker-agent/gsam_ottomator_agent/gsam_postgres_agent.py:78
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
mcp-agent-army/studio-integration-version/mcp_agent_army_endpoint.py:87
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
ask-reddit-agent/agent_endpoint.py:67
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
crawl4AI-agent/studio-integration-version/pydantic_ai_expert_endpoint.py:73
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
pydantic-ai-advanced-researcher/studio-integration-version/web_search_endpoint.py:68
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
mem0-agent/studio-integration-version/mem0_agent_endpoint.py:88
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
pydantic-ai-mcp-agent/studio-integration-version/pydantic_mcp_agent_endpoint.py:80
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
~sample-python-agent~/sample_supabase_agent.py:58
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
~sample-python-agent~/sample_postgres_agent.py:66
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
pydantic-github-agent/github_agent_endpoint.py:71
↓ 1 callersFunctionfetch_conversation_history
Fetch the most recent conversation history for a session.
pydantic-github-agent/studio-integration-version/github_agent_endpoint.py:68
↓ 1 callersFunctionfetch_conversation_history
Fetches the most recent conversation history for a given session. This function retrieves a specified number of the most recent messages from the
streambuzz-agent/utils/supabase_util.py:63
↓ 1 callersFunctionfetch_conversation_history
Fetch conversation history from Supabase.
python-local-ai-agent/main.py:176
↓ 1 callersFunctionfetch_human_session_history
Fetches the most recent human conversation history for a given session. This function retrieves a specified number of the most recent messages fr
streambuzz-agent/utils/supabase_util.py:21
↓ 1 callersFunctionfetch_pydantic_docs
Fetch the Pydantic AI documentation from the URL. Returns: The content of the documentation
light-rag-agent/LightRAG/insert_pydantic_docs.py:20
↓ 1 callersFunctionfetch_pydantic_docs
Fetch the Pydantic AI documentation from the URL. Returns: The content of the documentation
light-rag-agent/BasicRAG/insert_pydantic_docs.py:15
↓ 1 callersFunctionfetch_workflow
Retrieves n8n workflow template from their public API. Args: workflow_id: Identifier of the workflow template to fetch Returns:
n8n-expert/ingest-n8n-workflows.py:22
↓ 1 callersFunctionfilter_chat_message
Filters out unnecessary chat messages before intent classification. Removes small talk, one-word messages, and irrelevant content while prese
streambuzz-agent/routers/chat_worker.py:86
↓ 1 callersFunctionformat_agent_response
(output)
openai-sdk-agent/v6_streamlit_agent.py:84
↓ 1 callersFunctionformat_alert
Format an alert feature into a concise string.
thirdbrain-mcp-openai-agent/weather-server-python/src/weather/server.py:68
↓ 1 callersFunctionformat_response
Formats the video information and summary into a readable response.
youtube-summary-agent/main.py:239
↓ 1 callersMethodformat_results
(self, results: list)
genericsuite-app-maker-agent/lib/codegen_general_lib.py:281
↓ 1 callersFunctionformat_results_as_context
Format query results as a context string for the agent. Args: query_results: Results from a ChromaDB query Returns:
light-rag-agent/BasicRAG/utils.py:127
↓ 1 callersFunctionformat_results_as_context
Format query results as a context string for the agent. Args: query_results: Results from a ChromaDB query Returns:
crawl4AI-agent-v2/utils.py:127
↓ 1 callersMethodformat_tools_used
Format tools used for display.
agentic-rag-knowledge-graph/cli.py:91
↓ 1 callersMethodformat_tools_used
Format tools used for display.
docling-rag-agent/cli.py:227
↓ 1 callersMethodformat_tools_used
Format tools used for display.
all-rag-strategies/implementation/cli.py:227
↓ 1 callersFunctiongenerate_embedding
Creates vector embedding from text using configured embedding model. Args: text: String to generate embedding for Returns:
n8n-expert/ingest-n8n-workflows.py:129
↓ 1 callersMethodgenerate_embeddings_batch
Generate embeddings for a batch of texts. Args: texts: List of texts to embed Returns:
agentic-rag-knowledge-graph/ingestion/embedder.py:118
↓ 1 callersMethodgenerate_embeddings_batch
Generate embeddings for a batch of texts. Args: texts: List of texts to embed Returns:
ag-ui-rag-agent/agent/ingestion/embedder.py:118
↓ 1 callersMethodgenerate_embeddings_batch
Generate embeddings for a batch of texts. Args: texts: List of texts to embed Returns:
docling-rag-agent/ingestion/embedder.py:118
↓ 1 callersMethodgenerate_embeddings_batch
Generate embeddings for a batch of texts. Args: texts: List of texts to embed Returns:
all-rag-strategies/implementation/ingestion/embedder.py:118
↓ 1 callersFunctiongenerate_mock_domain_emails
Generate mock email data for a specific domain.
lead-generator-agent/studio_leadgen_agent.py:75
↓ 1 callersFunctiongenerate_mock_email_count
Generate mock email count data for a specific domain.
lead-generator-agent/studio_leadgen_agent.py:61
↓ 1 callersFunctiongenerate_mock_email_verification
Generate mock verification data for a specific email.
lead-generator-agent/studio_leadgen_agent.py:111
↓ 1 callersFunctiongenerate_stream
Generate streaming response using agent.iter() pattern.
agentic-rag-knowledge-graph/agent/api.py:421
↓ 1 callersMethodgenerate_title_from_question
Returns the title from the question
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:439
↓ 1 callersFunctiongenerate_twitter_drafts
Generate three engaging Twitter drafts based on article content. Args: articles (list): A list of articles with titles, URLs, and de
tweet-generator-agent/test_openai_generation.py:12
↓ 1 callersFunctionget_agent_deps
Creates a LightRAG instance And then uses that to create the Pydantic AI agent dependencies.
light-rag-agent/LightRAG/streamlit_app.py:28
↓ 1 callersFunctionget_agent_deps
Creates a LightRAG instance And then uses that to create the Pydantic AI agent dependencies.
light-rag-agent/BasicRAG/streamlit_app.py:25
↓ 1 callersFunctionget_agent_deps
()
crawl4AI-agent-v2/streamlit_app.py:25
↓ 1 callersMethodget_available_sources
Get a list of all available sources in the knowledge base. Returns: List of source identifiers
foundational-rag-agent/agent/tools.py:95
↓ 1 callersMethodget_available_tools
Retrieve a list of available tools from the MCP server.
thirdbrain-mcp-openai-agent/wip/mcp_openai_client.example.py:66
↓ 1 callersMethodget_betting_odds
Fetch betting odds for a game
nba-agent/nba_agent.py:266
↓ 1 callersFunctionget_buttons_config
Returns the buttons configuration
genericsuite-app-maker-agent/lib/codegen_app_ideation_lib.py:220
↓ 1 callersMethodget_buttons_submitted_data
Reduce the list of buttons submitted to a single boolean value to determine if the form was submitted
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:851
↓ 1 callersFunctionget_cached_markdown
Retrieve cached markdown from Supabase
ottomarkdown-agent/file_agent.py:306
↓ 1 callersMethodget_chat_response
Returns the response from the model
genericsuite-app-maker-agent/lib/codegen_schema_generator.py:350
↓ 1 callersMethodget_conversation
Returns the conversation in the database
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:221
↓ 1 callersFunctionget_conversation_history
Fetch the most recent conversation history for a session.
thirdbrain-mcp-openai-agent/thirdbrain_mcp_openai_agent.py:114
↓ 1 callersMethodget_conversation_title
(self, conversation: dict)
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:433
↓ 1 callersMethodget_conversations
Returns the conversations in the database
genericsuite-app-maker-agent/lib/codegen_streamlit_lib.py:209
↓ 1 callersFunctionget_credentials
Gets valid user credentials from storage or initiates OAuth2 flow.
streambuzz-agent/youtube_credentials/get_youtube_tokens.py:20
↓ 1 callersFunctionget_document
Retrieve the complete content of a specific document. This tool fetches the full document content along with all its chunks and meta
agentic-rag-knowledge-graph/agent/agent.py:182
↓ 1 callersFunctionget_document
Get document by ID. Args: document_id: Document UUID Returns: Document data or None if not found
agentic-rag-knowledge-graph/agent/db_utils.py:263
↓ 1 callersFunctionget_document_hash
Generate a unique hash for a document based on its content
ottomarkdown-agent/file_agent.py:277
↓ 1 callersFunctionget_document_tool
Retrieve a complete document. Args: input_data: Document retrieval parameters Returns: Document data or None
agentic-rag-knowledge-graph/agent/tools.py:216
↓ 1 callersMethodget_elapsed_time_formatted
Returns the elapsed time formatted
genericsuite-app-maker-agent/lib/codegen_schema_generator.py:285
↓ 1 callersFunctionget_embedding
Get embedding vector from OpenAI.
genericsuite-app-maker-agent/gsam_ottomator_agent/gsam_agent_lib.py:370
↓ 1 callersFunctionget_embedding
Get embedding vector from OpenAI.
crawl4AI-agent/pydantic_ai_expert.py:49
↓ 1 callersFunctionget_embedding
Get embedding vector from OpenAI.
crawl4AI-agent/crawl_pydantic_ai_docs.py:103
↓ 1 callersFunctionget_embedding
Get embedding vector from OpenAI.
crawl4AI-agent/studio-integration-version/pydantic_ai_expert.py:49
↓ 1 callersFunctionget_embedding_provider
Get the embedding provider name.
agentic-rag-knowledge-graph/agent/providers.py:82
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