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* feat(providers): add Warp adapter support Add Warp SQLite session discovery and parsing, wire provider registry/model aliases/cache env fingerprinting, and document/test provider behavior. Co-Authored-By: Oz <oz-agent@warp.dev> * fix(warp): address PR review feedback - remove unscoped README node/better-sqlite3 changes - drop bare auto aliases to avoid collisions - document output-token estimation tradeoff Co-Authored-By: Oz <oz-agent@warp.dev> --------- Co-authored-by: Tony Amirault <tony.amirault@wakam.com> Co-authored-by: Oz <oz-agent@warp.dev>
62 lines
2.5 KiB
Markdown
62 lines
2.5 KiB
Markdown
# Warp
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Warp Oz agent sessions from Warp's local SQLite database.
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- **Source:** `src/providers/warp.ts`
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- **Loading:** lazy (`src/providers/index.ts`)
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- **Test:** `tests/providers/warp.test.ts`
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## Where it reads from
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A SQLite database in Warp's group container.
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| Channel | Default path |
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|---|---|
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| Stable | `~/Library/Group Containers/2BBY89MBSN.dev.warp/Library/Application Support/dev.warp.Warp-Stable/warp.sqlite` |
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| Preview | `~/Library/Group Containers/2BBY89MBSN.dev.warp/Library/Application Support/dev.warp.Warp-Preview/warp.sqlite` |
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Override with `WARP_DB_PATH` when needed.
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## Storage format
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SQLite. The parser requires these tables:
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- `agent_conversations`
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- `ai_queries`
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- `blocks`
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## Caching
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No provider-specific cache. Standard CodeBurn session cache applies.
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## Deduplication
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Per exchange: `warp:<conversationId>:<exchangeId>`.
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## What we extract
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| codeburn field | Warp source |
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| `sessionId` | `agent_conversations.conversation_id` |
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| `timestamp` | `ai_queries.start_ts` |
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| `userMessage` | `ai_queries.input[0].Query.text` (when present) |
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| `project` / `projectPath` | `ai_queries.working_directory` |
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| `model` | `ai_queries.model_id` with fallback to dominant `conversation_data.token_usage[*].model_id` |
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| `tools` / `bashCommands` | `blocks.stylized_command` grouped onto nearest preceding exchange |
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| `inputTokens` | Estimated from prompt-size weighting, normalized to conversation token totals |
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`outputTokens` are set to `0` because Warp does not expose a reliable per-exchange input/output split in these tables.
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## Quirks
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- `ai_queries.output_status` may be stored as a JSON-quoted string (for example `"Completed"`). The parser normalizes this before filtering.
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- Warp auto model IDs (`auto-efficient`, `auto-powerful`) are resolved using dominant conversation model information when available.
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- Token and cost attribution is estimated. Calls are emitted with `costIsEstimated: true`.
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- Command blocks are attached to the closest preceding exchange in the same conversation based on `start_ts`.
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## When fixing a bug here
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1. Reproduce with a fixture SQLite in `tests/providers/warp.test.ts` before changing parser logic.
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2. Verify schema compatibility first (`agent_conversations`, `ai_queries`, `blocks`) before debugging parse behavior.
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3. If model/cost looks wrong, inspect both `ai_queries.model_id` and `conversation_data.conversation_usage_metadata.token_usage`.
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4. If command attribution is wrong, compare `blocks.start_ts` ordering against `ai_queries.start_ts`; attribution is timestamp-based.
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