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.