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feat: Complete Temporal migration cleanup and fixes

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- Remove obsolete docker_logs.py module and container diagnostics from SDK
- Fix security_assessment workflow metadata (vertical: rust -> python)
- Remove all Prefect references from documentation
- Add SDK exception handling test suite
- Clean up old test artifacts
This commit is contained in:
tduhamel42
2025-10-14 15:02:52 +02:00
parent 60ca088ecf
commit 40d48a8045
27 changed files with 379 additions and 9627 deletions
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ai/README.md
+4 -4
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@@ -1,6 +1,6 @@
# FuzzForge AI Module
FuzzForge AI is the multi-agent layer that lets you operate the FuzzForge security platform through natural language. It orchestrates local tooling, registered Agent-to-Agent (A2A) peers, and the Prefect-powered backend while keeping long-running context in memory and project knowledge graphs.
FuzzForge AI is the multi-agent layer that lets you operate the FuzzForge security platform through natural language. It orchestrates local tooling, registered Agent-to-Agent (A2A) peers, and the Temporal-powered backend while keeping long-running context in memory and project knowledge graphs.
## Quick Start
@@ -32,7 +32,7 @@ FuzzForge AI is the multi-agent layer that lets you operate the FuzzForge securi
```bash
fuzzforge ai agent
```
Keep the backend running (Prefect API at `FUZZFORGE_MCP_URL`) so workflow commands succeed.
Keep the backend running (Temporal API at `FUZZFORGE_MCP_URL`) so workflow commands succeed.
## Everyday Workflow
@@ -61,7 +61,7 @@ Inside `fuzzforge ai agent` you can mix slash commands and free-form prompts:
/sendfile SecurityAgent src/report.md "Please review"
You> route_to SecurityAnalyzer: scan ./backend for secrets
You> run fuzzforge workflow static_analysis_scan on ./test_projects/demo
You> search project knowledge for "prefect status" using INSIGHTS
You> search project knowledge for "temporal status" using INSIGHTS
```
Artifacts created during the conversation are served from `.fuzzforge/artifacts/` and exposed through the A2A HTTP API.
@@ -84,7 +84,7 @@ Use these to validate the setup once the agent shell is running:
- `run fuzzforge workflow static_analysis_scan on ./backend with target_branch=main`
- `show findings for that run once it finishes`
- `refresh the project knowledge graph for ./backend`
- `search project knowledge for "prefect readiness" using INSIGHTS`
- `search project knowledge for "temporal readiness" using INSIGHTS`
- `/recall terraform secrets`
- `/memory status`
- `ROUTE_TO SecurityAnalyzer: audit infrastructure_vulnerable`
ai/src/fuzzforge_ai/agent_executor.py
+3 -3
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@@ -841,15 +841,15 @@ class FuzzForgeExecutor:
elif normalised_mode in {"read_write", "readwrite", "rw"}:
normalised_mode = "rw"
else:
# Fall back to Prefect defaults if we can't recognise the input
# Fall back to read-only if we can't recognise the input
normalised_mode = "ro"
# Resolve the target path to an absolute path for Prefect's validation
# Resolve the target path to an absolute path for validation
resolved_path = target_path or "."
try:
resolved_path = str(Path(resolved_path).expanduser().resolve())
except Exception:
# If resolution fails, Prefect will surface the validation error – use the raw value
# If resolution fails, use the raw value
resolved_path = target_path
# Ensure configuration objects default to dictionaries instead of None