mirror of https://github.com/AgentSeal/codeburn.git synced 2026-07-10 01:29:41 +00:00

* 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>

2026-05-21 00:19:53 -07:00

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Warp

Warp Oz agent sessions from Warp's local SQLite database.

Source: src/providers/warp.ts
Loading: lazy (src/providers/index.ts)
Test: tests/providers/warp.test.ts

Where it reads from

A SQLite database in Warp's group container.

Channel	Default path
Stable	`~/Library/Group Containers/2BBY89MBSN.dev.warp/Library/Application Support/dev.warp.Warp-Stable/warp.sqlite`
Preview	`~/Library/Group Containers/2BBY89MBSN.dev.warp/Library/Application Support/dev.warp.Warp-Preview/warp.sqlite`

Override with WARP_DB_PATH when needed.

Storage format

SQLite. The parser requires these tables:

agent_conversations
ai_queries
blocks

Caching

No provider-specific cache. Standard CodeBurn session cache applies.

Deduplication

Per exchange: warp:<conversationId>:<exchangeId>.

What we extract

codeburn field	Warp source
`sessionId`	`agent_conversations.conversation_id`
`timestamp`	`ai_queries.start_ts`
`userMessage`	`ai_queries.input[0].Query.text` (when present)
`project` / `projectPath`	`ai_queries.working_directory`
`model`	`ai_queries.model_id` with fallback to dominant `conversation_data.token_usage[*].model_id`
`tools` / `bashCommands`	`blocks.stylized_command` grouped onto nearest preceding exchange
`inputTokens`	Estimated from prompt-size weighting, normalized to conversation token totals

outputTokens are set to 0 because Warp does not expose a reliable per-exchange input/output split in these tables.

Quirks

ai_queries.output_status may be stored as a JSON-quoted string (for example "Completed"). The parser normalizes this before filtering.
Warp auto model IDs (auto-efficient, auto-powerful) are resolved using dominant conversation model information when available.
Token and cost attribution is estimated. Calls are emitted with costIsEstimated: true.
Command blocks are attached to the closest preceding exchange in the same conversation based on start_ts.

When fixing a bug here

Reproduce with a fixture SQLite in tests/providers/warp.test.ts before changing parser logic.
Verify schema compatibility first (agent_conversations, ai_queries, blocks) before debugging parse behavior.
If model/cost looks wrong, inspect both ai_queries.model_id and conversation_data.conversation_usage_metadata.token_usage.
If command attribution is wrong, compare blocks.start_ts ordering against ai_queries.start_ts; attribution is timestamp-based.

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