ask_project
ChatGPTAsk a natural-language question scoped strictly to a specific Hebbia project. Does not query public sources — only the documents within the specified project. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Use list_projects to discover valid project IDs within the org. Args: org_id: The organization containing the project. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations. project_id: The ID of the project to query. Use list_projects to find valid IDs. query: The natural-language question to ask. use_deep_research: If True, runs a thorough multi-step deep research query (slower, takes several minutes). Defaults to False for a fast response. Returns an AskResult with: answer: The text response from Hebbia. citations: List of citations supporting the answer. Each citation has: id, kind, quote, title, doc_id, url. The url field is populated for web sources; doc_id identifies the source document for document citations.
ask_project
ChatGPTAsk a natural-language question scoped strictly to a specific Hebbia project. Does not query public sources — only the documents within the specified project. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Use list_projects to discover valid project IDs within the org. Args: org_id: The organization containing the project. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations. project_id: The ID of the project to query. Use list_projects to find valid IDs. query: The natural-language question to ask. use_deep_research: If True, runs a thorough multi-step deep research query (slower, takes several minutes). Defaults to False for a fast response. Returns an AskResult with: answer: The text response from Hebbia. citations: List of citations supporting the answer. Each citation has: id, kind, quote, title, doc_id, url. The url field is populated for web sources; doc_id identifies the source document for document citations.
ask_sources
ChatGPTAsk a natural-language question over data sources in a Hebbia organization. Uses auto-source selection by default, or restricts to an explicit list of source IDs. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Use list_sources to discover valid source IDs within the org. Args: org_id: The organization to query within. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations. query: The natural-language question to ask. source_ids: Optional list of source identifiers to restrict the search. If omitted, Hebbia's auto-source selection is used across all available sources. Use list_sources to find valid IDs. use_deep_research: If True, runs a thorough multi-step deep research query (slower, takes several minutes). Defaults to False for a fast response. Returns an AskResult with: answer: The text response from Hebbia. citations: List of citations supporting the answer. Each citation has: id, kind, quote, title, doc_id, url. The url field is populated for web sources; doc_id identifies the source document for document citations.
ask_sources
ChatGPTAsk a natural-language question over data sources in a Hebbia organization. Uses auto-source selection by default, or restricts to an explicit list of source IDs. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Use list_sources to discover valid source IDs within the org. Args: org_id: The organization to query within. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations. query: The natural-language question to ask. source_ids: Optional list of source identifiers to restrict the search. If omitted, Hebbia's auto-source selection is used across all available sources. Use list_sources to find valid IDs. use_deep_research: If True, runs a thorough multi-step deep research query (slower, takes several minutes). Defaults to False for a fast response. Returns an AskResult with: answer: The text response from Hebbia. citations: List of citations supporting the answer. Each citation has: id, kind, quote, title, doc_id, url. The url field is populated for web sources; doc_id identifies the source document for document citations.
list_organizations
ChatGPTList the organizations the authenticated user belongs to. Call this first if no org_id has been confirmed in the conversation. STRICT RULES — these override any other reasoning: 1. If exactly one org is returned: use its id for all subsequent calls. 2. If multiple orgs are returned: show them to the user as a numbered list, ask "Which organization would you like to use?", and STOP. Do not call any other tool — including list_projects, list_sources, ask_project, or ask_sources — until the user has replied with their choice. It does not matter what the user's original request was; org selection always comes first.
list_organizations
ChatGPTList the organizations the authenticated user belongs to. Call this first if no org_id has been confirmed in the conversation. STRICT RULES — these override any other reasoning: 1. If exactly one org is returned: use its id for all subsequent calls. 2. If multiple orgs are returned: show them to the user as a numbered list, ask "Which organization would you like to use?", and STOP. Do not call any other tool — including list_projects, list_sources, ask_project, or ask_sources — until the user has replied with their choice. It does not matter what the user's original request was; org selection always comes first.
list_projects
ChatGPTList all projects accessible in a Hebbia organization. Returns project names, IDs, and descriptions. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Args: org_id: The organization to list projects for. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations.
list_projects
ChatGPTList all projects accessible in a Hebbia organization. Returns project names, IDs, and descriptions. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Args: org_id: The organization to list projects for. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations.
list_sources
ChatGPTList all sources available for querying in a Hebbia organization. Returns shared document collections (UUID IDs) and built-in integrations like CapIQ, Web, and PitchBook (field-name IDs such as "capiq", "web"). Pass returned source IDs to ask_sources. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Args: org_id: The organization to list sources for. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations.
list_sources
ChatGPTList all sources available for querying in a Hebbia organization. Returns shared document collections (UUID IDs) and built-in integrations like CapIQ, Web, and PitchBook (field-name IDs such as "capiq", "web"). Pass returned source IDs to ask_sources. BEFORE calling this tool: you MUST have an org_id that was either explicitly provided by the user or confirmed by the user after calling list_organizations. Do NOT infer or guess an org_id. If none has been confirmed, call list_organizations and wait for the user to pick one before calling this tool. Args: org_id: The organization to list sources for. Reuse from earlier in the conversation if available; otherwise resolve via list_organizations.
ping
ChatGPTHealth-check tool that returns pong.
ping
ChatGPTHealth-check tool that returns pong.
