# pandas-ai - Doramagic AI Context Pack > Purpose: pre-work context for the user's host AI. This pack does not prove that the project has been installed, run, or validated. ## Project - canonical_name: `sinaptik-ai/pandas-ai` - capability: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - expected_user_outcome: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. ## Operating Boundaries - Do not claim that the project has been installed, run, called through an API, or used on local files unless separate evidence proves it. - Project facts must come from repo evidence, Claim Graph, or explicit source references. - When a capability is not verified, mark it as unverified instead of completing it as fact. - publish_status: `publishable` - blocking_gaps: none --- ## Doramagic Context Augmentation The following sections strengthen the repository context for a host AI. Human Manual data is a reading route, and pitfall notes become operating constraints. ## Human Manual Outline Usage rule: this is only a reading route and salience signal, not factual authority. Concrete claims must still return to repo evidence or Claim Graph. Host AI hard rules: - Do not treat page titles, section order, summaries, or importance values as factual project evidence. - When explaining the Human Manual outline, state that it is only a reading route or salience signal. - Capability, installation, compatibility, runtime state, and risk claims must cite repo evidence, source paths, or Claim Graph. - **Overview, Installation, and Quickstart**: importance `high` - source_paths: README.md, pandasai/__init__.py, pandasai/dataframe/base.py, pyproject.toml, examples/quickstart.ipynb - **Code Execution, Sandbox, and Security Model**: importance `high` - source_paths: pandasai/core/code_execution/code_executor.py, pandasai/core/code_execution/environment.py, pandasai/core/code_generation/code_validation.py, pandasai/core/code_generation/code_cleaning.py, pandasai/sandbox/sandbox.py - **LLM Backends, Local Models, and Extension Ecosystem**: importance `high` - source_paths: pandasai/llm/base.py, pandasai/llm/__init__.py, extensions/llms/litellm/pandasai_litellm/litellm.py, extensions/llms/openai/pandasai_openai/openai.py, extensions/llms/openai/pandasai_openai/azure_openai.py - **Agent Lifecycle, Prompts, and Semantic Layer**: importance `high` - source_paths: pandasai/agent/base.py, pandasai/agent/state.py, pandasai/agent/__init__.py, pandasai/core/prompts/base.py, pandasai/core/prompts/generate_system_message.py ## Repo Inspection Evidence - repo_clone_verified: true - repo_inspection_verified: true - repo_commit: `bbbb771d31062d81f6fa19bafb40620d5cbe48f4` - inspected_files: `README.md`, `docker-compose.yml`, `pyproject.toml`, `docs/mint.json`, `docs/v2/advanced-security-agent.mdx`, `docs/v2/cache.mdx`, `docs/v2/connectors.mdx`, `docs/v2/contributing.mdx`, `docs/v2/custom-head.mdx`, `docs/v2/custom-response.mdx`, `docs/v2/custom-whitelisted-dependencies.mdx`, `docs/v2/determinism.mdx`, `docs/v2/examples.mdx`, `docs/v2/fields-description.mdx`, `docs/v2/intro.mdx`, `docs/v2/judge-agent.mdx`, `docs/v2/library.mdx`, `docs/v2/license.mdx`, `docs/v2/llms.mdx`, `docs/v2/pipelines/pipelines.mdx` Host AI hard rules: - Without repo_clone_verified=true, do not claim that the source code has been read. - Without repo_inspection_verified=true, do not write README, docs, or package-file conclusions as facts. - Without quick_start_verified=true, do not claim that the Quick Start path has run successfully. ## Doramagic Pitfall Constraints These rules come from Doramagic discovery, validation, or compilation findings. The host AI must treat them as operating constraints, not background notes. ### Constraint 1: Installation risk requires verification - Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1872 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 2: Runtime risk requires verification - Trigger: Project evidence flags a runtime risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1896 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 3: Installation risk requires verification - Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1868 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 4: Installation risk requires verification - Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1853 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 5: Configuration risk requires verification - Trigger: Project evidence flags a configuration risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1856 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 6: Capability evidence risk requires verification - Trigger: README/documentation is current enough for a first validation pass. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: capability.assumptions | https://github.com/sinaptik-ai/pandas-ai - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 7: Runtime risk requires verification - Trigger: Project evidence flags a runtime risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1888 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 8: Runtime risk requires verification - Trigger: Project evidence flags a runtime risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: packet_text.keyword_scan | https://github.com/sinaptik-ai/pandas-ai - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 9: Maintenance risk requires verification - Trigger: Project evidence flags a maintenance risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1874 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 10: Maintenance risk requires verification - Trigger: Project evidence flags a maintenance risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/sinaptik-ai/pandas-ai/issues/1855 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.